EAI Endorsed Transactions on Energy Web

EAI Endorsed Transactions on Energy Web is an open access, peer-reviewed scholarly journal focused on topics ranging from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications distributed in six issues per year. Authors are not charged for article submission and processing.

Editor(s)-in-Chief: Ghazanfar Safdar and Iosif Breido

Aims & Scope
Announcements
Indexing
Editors in Chief
Editorial Board

With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world's top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today.

The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.

The EAI Endorsed Transactions on Energy Web topics include but are not limited to:

Green Data Centres and Data Storage
Greener Smart Homes
Green Smart Cities
Greener Secure Web Transactions
Energy Systems Modelling
Energy Efficient Virtualized Systems
Energy Efficient DSA (for CR Networks, D2D/M2M)
Energy Efficient LAA (Licensed Assisted Access for 5G)
Energy Aware Interference Mitigation in 4G Networks
Energy Conservation and Mangement Strategies
Telemetry and Power Engineering Based on Self-Organising Networks with Combined Information Transmission Channels
Transportation and Electric Vehicles
Green Communication Protocols
Energy Efficient Routing Protocols
Physical Layer Techniques for Energy Efficiency
Energy Efficient Device-to-Device (D2D) Communications
Energy-Aware Design for Small Cells and HetNets
Energy Efficient Algorithms and Scheduling Techniques
Green Massive MIMO Techniques
Cross-Layer Energy Efficiency Optimisation
Standardisation for Green Communications and Networking
Energy Efficient and Secure Implementation of Cryptographic Protocols
Lightweight Cryptography
Monitoring and Management of Energy Supply
Online Learning Technologies in the Energy Sector
Power Systems Regulations
Power Systems Transmission Management
Supply Chain Energy Management

João Luiz Afonso (University of Minho, Portugal)
Chi-Hua Chen (Fuzhou University, China)
Abdul Shabeer (IBM India Pvt Ltd, India)
Baozhi Chen (Rutgers University, USA)
Amando P. Singun, Jr. (Higher College of Technology, Muscat, Sultanate of Oman)
Andrey Mazalov (South Federal University, Russia)
Duckki Lee (Yonam Institute of Technology, South Korea)
H. Anandakumar (Sri Eshwar College of Engineering, India)
Houda Chihi (ISAMM University, Tunisie)
Howard Njoku (University of Nigeria, Nigeria)
José Gabriel Oliveira Pinto (University of Minho, Portugal)
Kale Sandip Achutrao (Trinity College of Engineering and Research, India)
Marta Chinnici (ENEA-Italian National Agency for New technologies, Energy and Sustainable Economic Development, Italy)
P. Venkata Krishna (Sri Padmavati Mahila University, India)
Vítor Duarte Fernandes Monteiro (University of Minho, Portugal)
S. Karthikumar (Ilahia College of Engineering & Technology, India)
Utku Kose (Süleyman Demirel University, Turkey)
Satish Kumar Kansal (Baba Hira Singh Bhattal Institute of Engineering & Technology, India)
J. Jacinth Poornima (NIIT Qatar, Qatar)
Elena Gebel (Omsk State Technical University, Russia)
Irina Yuryevna Semykina (Kuzbass State Technical University, Kemerovo, Russia)
Manik Sharma (DAV University Jalandhar, India)
Mikhail Medvedev (Southern Federal University, Russia)
Sabu M Thampi (Center for Research and Innovation in Cyber Threat Resilience (CRICTR), India)
Vladimir Dyo (University of Bedfordshire, UK)
Velliangiri. S (CMR Institute of Technology, India)
Vyacheslav Potekhin (Peter the Great St. Petersburg Polytechnic University, Russia)

Announcements!

Ghazanfar Safdar¹

Ghazanfar A. Safdar received his B.Sc Hons. in Electrical Engineering from University of Engineering and Technology, Pakistan, and his M.Eng in Computer Science and Telecommunications from ENSIMAG, INPG, France. He was awarded a PhD from Queen’s University Belfast, UK, in 2005 for his work in the area of power-saving MAC protocols for the IEEE 802.11 family of wireless LANs. Moreover, he has worked as Research Fellow at Queen’s University Belfast on a project related to Wireless Networks security funded by EPSRC grant EP/C006976/1. Currently, he is working as Senior Lecturer in Computer Networking at the University of Bedfordshire, UK. His research interests mainly include cognitive radio networks, energy saving MAC protocols, security protocols for wireless networks, LTE networks, interference mitigation, device-to-device communications, network modelling and performance analysis. He has also worked as R&D Engineer with Carrier Telephone Industries (SIEMENS), Pakistan, and Schlumberger, France.

Iosif Breido²

Iosif Breido received the engineering degree from the Leningrad Electrotechnical Institute (USSR) in 1971. He served as a navy officer in the Pacific fleet. He worked in the Karaganda Department of the Institute of mining. In 1983 he received the academic degree of candidate of technical sciences for his work in the field of controlled electric drive of conveyors in coal mines. In 1996 he received the degree of doctor of technical Sciences, at the Ural mining and geological Academy (Yekaterinburg, Russia) for research in the field of dynamics of controlled multi-motor electric drives of mining machines, interconnected through the working body. He participated in the creation and modernization of thyristor electric drives of conveyors, coal combines, aggregates of metallurgical production. In recent years, he directs the establishment of systems for protection and diagnostics of electrical equipment and high-voltage transmission lines, including systems remote Internet monitoring with the use of different telemetry channels in the conditions of strong interference from induced electromagnetic fields.

1: University of Bedfordshire, UK
2: Karaganda State Technical University

Online First
Recently Published
Most Popular

Using Resonance and Soft-Switching to Enhance Efficiency of Underwater Vehicle's Contactless Charge System
Appears in:
ew 18: e43

Authors:
V. A. Gerasimov, A. V. Komlev, A. Yu. Filozhenko

Published:
4th Aug 2020

Abstract:
The contactless battery charge system of the autonomous underwater vehicle allows to significantly increase the device operating time in automatic mode under water. Using a transformer with a non-magnetic gap in such a system leads to an increased load on the inverter's power switches.…The contactless battery charge system of the autonomous underwater vehicle allows to significantly increase the device operating time in automatic mode under water. Using a transformer with a non-magnetic gap in such a system leads to an increased load on the inverter's power switches. The article presents a solution to the problem of unloading switches using resonant circuits in combination with the "soft switching" mode of the inverter. It is proposed to use a serial LC-circuit connected in parallel to the transformer primary winding, and a capacitor on its secondary side. Recommendations are given for selecting parameters of resonant elements that minimize the charge time of the underwater vehicle's batteries. The using of research results allows to significantly reduce heat loss while maintaining the transmitted active power. The losses in the inverter were reduced from 130 W to 12 W for the transformer idle mode, and from 170 W to 25 W for the transformer short-circuit mode.
more »
Survey Based on Security Aware Caching Scheme for IoT Based Information Centric Networking
Appears in:
ew 18: e42

Authors:
M. Sakthivanitha, S. Saradha

Published:
4th Aug 2020

Abstract:
Information-Centric Networking (ICN) empowered by information-centric paradigm takes popular paradigm place of host-centric networking of communication networks, which in turn helps prioritizing the labeled content delivery, with no information on the origin of the conte…Information-Centric Networking (ICN) empowered by information-centric paradigm takes popular paradigm place of host-centric networking of communication networks, which in turn helps prioritizing the labeled content delivery, with no information on the origin of the contents. Security of client and content, originating place, and identity privacy are inherent in ICN paradigm design in contrast to present host centric concept where they are introduced as a second-thought. But, with its genesis, the ICN paradigm exhibits different unresolved challenges in privacy and security. In this work, current literature in ICN privacy and security are explored and open challenges are presented. Especially, three extensive subjects: security threats, risks involved with privacy, access control management techniques are explored. Primary objective of ICN is to modify the present location-based IP network architecture to location-free and content-oriented network framework. ICN can satisfy the demands for caching to the neighbouring edge devices with no more storage deployed. In this work, an several architecture for effective caching at the edge devices for data-centric IoT applications and a rapid content access that depends on novel deep learning techniques and caching processes in ICN. The novel learning-oriented effective caching technique yields the solution to the problem involving the available hash and on-path caching techniques, and the newly introduced content popularity scheme improves the availability content at the devices in the vicinity for minimizing the content transfer time and packet loss ratio.
more »
Mathematical puzzle based PV array configuration for GMP enhancement under non-uniform irradiation
Appears in:
ew 18: e41

Authors:
Isha Kansal, Rupendra Pachauri

Published:
4th Aug 2020

Abstract:
The performance exploration of the proposed PV array configurations is analysed during the shadowing conditions. The performance evaluation of total-cross-tied (TCT) and symmetric matrix-total-cross-tied (SM-TCT) pattern based electrical connections are assessed according to distinguish…The performance exploration of the proposed PV array configurations is analysed during the shadowing conditions. The performance evaluation of total-cross-tied (TCT) and symmetric matrix-total-cross-tied (SM-TCT) pattern based electrical connections are assessed according to distinguish shadow test cases. The PV system's non-linear conduct is noted in terms ofI-V and P-V curves. During partial shading conditions (PSCs), multiple power points (MPP) are observed such as local MPP and global MPP. Both TCT and SM-TCT configurations are compared in terms of parameters Global MPP, fill factor (FF) and performance enhancement (PE) under the three distinct shadow test cases as (i) lamp post (ii) three cornered shading or structure shadow (iii) single vertex shading respectively.
more »
Experimental Study of the Thermo-Mechanical Properties of Building Blocks Used in Hot Desert Arid Climate
Appears in:
ew 18: e40

Authors:
Miloud Hatia, Abdelouahed Kriker, Djamel Belatrache

Published:
27th Jul 2020

Abstract:
The desert areas in countries are characterized by their high heat, dry climate in summer and a very cold in winter. Currently, the building blocks used in the construction of slabs are found in concrete blocks, which are characterized by poor thermal performance. In the past, traditional gypsum …The desert areas in countries are characterized by their high heat, dry climate in summer and a very cold in winter.
Currently, the building blocks used in the construction of slabs are found in concrete blocks, which are characterized by
poor thermal performance. In the past, traditional gypsum was used to ensure that the stones used in the roof, which are
shaped as domes, gave a significant thermal performance. In recent years, with the development of construction, other
blocks have emerged in the market, such as scorched soil and polyester. The aim of this study is to determine the
mechanical and thermal properties of the tested brick by laboratory experiments, as well as to make recommendations in
line with the desert climatic conditions. The results show that the use of natural materials found in Sidi Khouield is highly
efficient in reducing the internal temperature of studied houses. A maximal difference in the temperature between the
inside and outside reaches 15 °C in P3.
more »
Method of Calculating the Main Parameters of the Generator in Various Modes of the Car Regenerative Braking
Appears in:
ew 18: e39

Authors:
V. Dvadnenko, Shch. Arhun, A. Bogajevskiy, S. Ponikarovska

Published:
27th Jul 2020

Abstract:
Improving the method of regenerative braking of a car with a start-stop system by installing an additional generator is offered. An option of the optimal control of the brake torque of an additional generator is offered. The regenerative braking under consideration required an appropriate method …Improving the method of regenerative braking of a car with a start-stop system by installing an additional generator is
offered. An option of the optimal control of the brake torque of an additional generator is offered. The regenerative
braking under consideration required an appropriate method of calculation. This technique makes possible to obtain the
dependence of the braking moment on the angular velocity of the generator in various modes, the dependence of the
allowable maximum generator power on the speed and load, the dependence of efficiency and the braking moment on the
speed. Redistribution of energy generated by an additional generator for charging the battery and heating the engine
coolant has been introduced. The brake torque of the electric machine G290 is calculated in the mode of regenerative
braking. The obtained results are of practical importance for the transport industry. Calculated N at which the current 150
А is reached. According to factory data the ultimate current is reached at 1450 rpm (discrepancy of less than 3%). So, there
is a good coincidence of calculated data. This method does not require a great number of experimental points. The
obtained results are of practical importance for the transport industry.
more »
A Hybrid Elephant Optimization Algorithm-based Cluster Head Selection to Extend Network Lifetime in Wireless Sensor Networks (WSNs)
Appears in:
ew 18: e38

Authors:
S. Prahadeeshwaran, G. Maria Priscilla

Published:
27th Jul 2020

Abstract:
Wireless Sensor Networks (WSNs) comprise of a number of sensor nodes that are capable of sensing and aggregating the data from the monitoring environment. However, the process of recharging the limited energy sensor node batteries are highly difficult during adverse situations. This limitation of…Wireless Sensor Networks (WSNs) comprise of a number of sensor nodes that are capable of sensing and aggregating the data
from the monitoring environment. However, the process of recharging the limited energy sensor node batteries are highly
difficult during adverse situations. This limitation of sensor nodes greatly crumbles the network lifetime to a maximum degree
and degrades the level of reliable data dissemination. In this paper, a Novel Individual Updating Strategies-based Hybrid
Elephant Herding Optimization Algorithm (NIUS-HEHOA) is planned for facilitating energy balanced cluster head selection
for the objective of extending the network lifetime. It included energy-aware optimization process during the clustering
schemes, since it is considered as a solution to the significant NP complete optimization problem. It is propounded as a swarm
intelligent algorithms are identified to be the most applicable candidate for energy optimization that leads to significant
improvement in network lifetime. It is contributed to maintain the deviation between exploitation and exploration such that
least potential sensor nodes are prevented from being chosen as cluster heads. The simulation experiments confirmed that the
proposed NIUS-HEHOA scheme is better than the benchmarked schemes in terms of alive nodes, dead nodes, residual energy,
network lifetime and throughput.
more »
Target Coverage and Network Connectivity Challenges in Wireless Sensor Networks
Appears in:
ew 18: e37

Authors:
Deepa R, Revathi Venkataraman

Published:
23rd Jul 2020

Abstract:
Target Coverage and Network Connectivity in Wireless Sensor Networks (WSNs) plays a momentous role in the field of monitoring environment, habitant observing, disaster recovery, surveillance, etc. Coverage and Network Connectivity collectively can be considered as a proportion of Quality of Servi…Target Coverage and Network Connectivity in Wireless Sensor Networks (WSNs) plays a momentous role in the field of
monitoring environment, habitant observing, disaster recovery, surveillance, etc. Coverage and Network Connectivity
collectively can be considered as a proportion of Quality of Service (QoS) in a sensor network. It implies the coverage of
each point in the detecting field while in the meantime fulfilling the measure that each node is surrounded by the
equivalent neighbourhood of at least one other node. Many primary issues influence the outline and performance of WSN.
A Comprehensive survey is made based on the scheduling algorithm and set cover approach, in which we analyze various
approaches and their algorithm complexity. Firstly, the scheduling algorithm intermittently provides the required data
service with guaranteed efficiency. This methodology can efficiently reduce the entire number of active nodes in the
network, resulting in maximizing the network lifetime. Secondly, the set cover approach plays a major role in solving
target coverage problem which group sensors into each cover set thereby, target coverage was achieved. Typical issues and
open research challenges are addressed by classifying the approaches available in literature into three broad categories
namely, adaptable coverage radius, coverage deployment strategy, and sleep scheduling. This survey aims to provide a
better perceptive of the existing open challenges and possible futuristic approaches for target coverage and network
connectivity in wireless sensor networks.
more »
A Genetic Programming Approach to Binary Classification Problem
Appears in:
ew 18: e36

Authors:
Leo Willyanto Santoso, Bhopendra Singh, S. Suman Rajest, R. Regin, Karrar Hameed Kadhim

Published:
17th Jul 2020

Abstract:
The Binary classification is the most challenging problem in machine learning. One of the most promising technique to solve this problem is by implementing genetic programming (GP). GP is one of Evolutionary Algorithm (EA) that used to solve problems that humans do not know how to solve it direct…The Binary classification is the most challenging problem in machine learning. One of the most promising technique to solve
this problem is by implementing genetic programming (GP). GP is one of Evolutionary Algorithm (EA) that used to solve
problems that humans do not know how to solve it directly. The objectives of this research is to demonstrate the use of
genetic programming in this type of problems; that is, other types of techniques are typically used, e.g., regression, artificial
neural networks. Genetic programming presents an advantage compared to those techniques, which is that it does not need
an a priori definition of its structure. The algorithm evolves automatically until finding a model that best fits a set of training
data. Feature engineering was considered to improve the accuracy. In this research, feature transformation and feature
creation were implemented. Thus, genetic programming can be considered as an alternative option for the development of
intelligent systems mainly in the pattern recognition field.
more »
Energy-aware and Bandwidth Allocation for Air Pollution Monitoring System using Data Analytics
Appears in:
ew 18: e35

Authors:
Murali Subramanian, Jaisankar Natarajan, Rajkumar Rajasekaran

Published:
17th Jul 2020

Abstract:
The most debated phenomena of the 21st century which might change the global landscape for living organisms. The same phenomena could even threaten climate pattern. Because of this, the earth may experience a highly unstable natural disaster like flooding, cyclone, earthquake, tsunami, severe dro…The most debated phenomena of the 21st century which might change the global landscape for living organisms. The same
phenomena could even threaten climate pattern. Because of this, the earth may experience a highly unstable natural disaster
like flooding, cyclone, earthquake, tsunami, severe drought and inhabitant environment like the highly polluted atmosphere,
intolerable rise in temperature, acid rain, etc, This issue is solved in this research work by the introduction of the technique
referred to as the Air pollution monitoring system with Swarm Intelligence (CASI-CSA-IAFSA) that will do the clustering
of sensor nodes and the assortment of sensor nodes. Then the aggregated data would transmit the optimal route to the base
station designated employing the artificial fish swarm technique. The proposed research technique by the introduction of the
strategy referred to as the bandwidth allocation aware Air pollution monitoring system with cuckoo and fish swarm approach
(BA-APMS-CSFSO).
more »
A Proposal on Techno-Financial Design aspects of Photovoltaic System for the Twin Districts of Rajouri and Poonch (Jammu & Kashmir)
Appears in:
ew 18: e34

Authors:
Shafqat Nabi Mughal, Yog Raj Sood, R.K. Jarial

Published:
17th Jul 2020

Abstract:
In this paper, a procedural analysis involved in the optimal design of the photovoltaic system (PV) is thoroughly described. The study has been carried out by following a proposed design procedure, involving different types of photovoltaic panels and their tracking mechanisms. The proposed method…In this paper, a procedural analysis involved in the optimal design of the photovoltaic system (PV) is thoroughly described.
The study has been carried out by following a proposed design procedure, involving different types of photovoltaic panels
and their tracking mechanisms. The proposed methodology is implemented in the twin districts of jammu & kashmir union
territory (rajouri & poonch). The feasibility of the photovoltaic system has been made based on power output and the cost
of generation. A detailed financial analysis is also carried out to find the levelised cost of electricity, amortisation time, and
internal rate of return. This study will help the power utilities to mitigate their energy issues, by installing a photovoltaic
system based on the proposed design methodology.
more »
Experimental analysis of solar water heater with compound parabolic concentrator
Appears in:
ew 18: e33

Authors:
Dikshita Nath, Danish Ansar, Biswajit Das, Shikha Bhuyan

Published:
8th Jul 2020

Abstract:
Among all the non-conventional energy sources, solar energy is one of the most promising and renewable alternative source. Solar water heater can be one of the medium to make best use of this renewable energy for human betterment. The current work is targeted to examine the performance of solar w…Among all the non-conventional energy sources, solar energy is one of the most promising and renewable alternative
source. Solar water heater can be one of the medium to make best use of this renewable energy for human betterment. The
current work is targeted to examine the performance of solar water heater with different absorber plates viz flat plate, VTrough and compound parabolic concentrator. The developed system is intended to supply hot water for a family at a low
cost. This is regional study and illustrates how selecting a proper concentrator can increase the thermal efficiency of this
solar based system. It was experimentally found that, the solar water heater with compound parabolic concentrator profile
as absorber outshines over other two models giving 20.58% more efficient results than V Trough whereas V Trough gives
us 20.37% more efficient results than Flat plate. Also, it is found that, less mass flow rate is required for obtaining higher
degree of temperature in case of solar water heater with compound parabolic concentrator.
more »
A Novel Hybrid Watermarking scheme with Image authentication based on frequency domain, 2- Level SVD using chaotic map
Appears in:
ew 18: e32

Authors:
Shahzad Alam, Tanvir Ahmad, M. N. Doja

Published:
7th Jul 2020

Abstract:
INTRODUCTION: In order to protect the owner’s visual multimedia data, various watermarking methods have introduced in the last few years. In image watermarking techniques, a secret watermark image inserted into another image. OBJECTIVES: The main aim of this paper is to implement an image waterma…INTRODUCTION: In order to protect the owner’s visual multimedia data, various watermarking methods have introduced
in the last few years. In image watermarking techniques, a secret watermark image inserted into another image.
OBJECTIVES: The main aim of this paper is to implement an image watermarking technique having high security from
stealing the information hidden in image and make the resultant image more robust against various attacks.
METHODS: In this paper, frequency domain based techniques like DWT, DCT has used with 2 Level SVD and a new 3D
discrete hyper chaotic map. The digital signature and other image parameters have appends in the watermark image to
ensure the security and copyright protection of the original image using RSA, Arnold transforms, and SHA-1, techniques.
At the receiver side, digital signature and information parameters have retrieved from the watermark image and identify to
detect whether an unauthorized person attacks the watermark image or not. To verify the originality of image, the extracted
information parameter, and the hash value of the extracted watermark have compared with the original value of the
parameters and source hash value of the watermark image, respectively. The secret key used in the proposed scheme that
makes the system more robust and adds security to the system. It helps to authenticate the originality of the received
image.
RESULTS: We compare the result with the present scheme proposed by Lin at el. The experiments have conducted to
check various standard image processing attacks, and the watermark extraction process generates a high-quality image
after different attacks. The primary purpose of the suggested watermarking scheme is to ensure reversibility and high
security.
CONCLUSION: The experimental outcomes confirmed that not only the recommended scheme attained higher robustness
and imperceptibility in comparison to our earlier scheme. The Watermark image also recovered successfully with the
known secret key.
more »
Priority-based Routing Framework for VANETs
Appears in:
ew 18: e31

Authors:
Emad Felemban, Atif Naseer, Adil Amjad

Published:
7th Jul 2020

Abstract:
Vehicular ad hoc Network (VANET) is a collection of vehicles and associated roadside infrastructure which provide mobile wireless communication services. One of the significant use-cases is to transmit the images using VANET during emergencies like road accidents, traffic congestion, fire, or tra…Vehicular ad hoc Network (VANET) is a collection of vehicles and associated roadside infrastructure which provide mobile
wireless communication services. One of the significant use-cases is to transmit the images using VANET during
emergencies like road accidents, traffic congestion, fire, or traffic hazards. Priority-based routing allows the network to
route critical data on priority. This paper proposes a Priority-based Routing Framework for Image Transmission (PRoFIT)
for VANETs. PRoFIT for VANETs delivers critical image features at high priority to the sink node for early processing.
Simulations were carried out that use PRoFIT for VANETs during the mobility of vehicles in emergency scenarios. The
detailed experiments show the impact of priority-based routing during the mobility of vehicles. Both grid topology and
vehicular topology were simulated. Packet end-to-end delay and delivery ratios were analyzed. A comparison of results of
critical image information delivery with PRoFIT and without PRoFIT shows the impact of using PRoFIT for VANETs.
more »
Novel Semantic Relatedness Computation for Multi-Domain Unstructured Data
Appears in:
ew 18: e30

Authors:
Rafeeq Ahmed, Pradeep Kumar Singh, Tanvir Ahmad

Published:
30th Jun 2020

Abstract:
Semantic Relatedness computation has been a fundamental as well as an essential step for domains like Information Retrieval, Natural Language Processing, Semantic Web, etc. Many techniques for Semantic Relatedness calculation in a single domain have been proposed. However, these techniques give i…Semantic Relatedness computation has been a fundamental as well as an essential step for domains like
Information Retrieval, Natural Language Processing, Semantic Web, etc. Many techniques for Semantic
Relatedness calculation in a single domain have been proposed. However, these techniques give inappropriate
results for the massive multidomain dataset because they provide a relation between concepts across different
domains, which are not related to each other. Their similarities should be minimized. In this paper, a
novel method, "modified Balanced Mutual Information(MBMI)," to calculate the semantic relatedness of
multidomain data has been proposed. In this proposed method, to get semantic relatedness, concepts are
extracted, followed by a fuzzy vector from a given corpus. A comparison of the proposed method with other
existing methods has been performed. We used medical and computer science articles as our dataset. The
proposed method shows better results for multidomain data.
more »
Analysis of approaches to modelling the fuzzy control systems with extension of their functional capabilities
Appears in:
ew 18: e29

Authors:
S.P. Cherniy, V.I. Susdorf, A.V. Buzikaeva, V.N. Khrulkov

Published:
19th Jun 2020

Abstract:
The research covers the issues of complexity in formalization of complex control objects using conventional methods and algorithms, considers different approaches to modeling of these objects, as well as reviews the features of different methods for synthesis of intelligent control systems using mu…The research covers the issues of complexity in formalization of complex control objects using conventional methods and algorithms, considers different approaches to modeling of these objects, as well as reviews the features of different methods for synthesis of intelligent control systems using multi-cascade fuzzy control. It also represents a tracking drive model based on two-stage system. The structural solution for such an intelligent system includes four fuzzy controllers, three of which use Mamdani inference algorithms, and the fourth one represents an intelligent switching device with Sugeno inference algorithm. The article demonstrates the use of multi-cascade control technology for implementation of spacial membership functions.
more »
Power System Flexibility Metrics Evaluation and Power Ramping Analysis for High Variable Renewable Generation Shares
Appears in:
ew 18: e28

Authors:
M. Saber Eltohamy, M. Said Abdel Moteleb, Hossam Talaat, S. Fouad Mekhemer, Walid Omran

Published:
16th Jun 2020

Abstract:
The increased penetrations from variable renewable generation (VRG), such as solar and wind, into power systems, growing the flexibility requirements for managing the uncertainty and variability of output power. These flexibility requirements can be achieved by many flexibility options. However, …The increased penetrations from variable renewable generation (VRG), such as solar and wind, into power systems,
growing the flexibility requirements for managing the uncertainty and variability of output power. These flexibility
requirements can be achieved by many flexibility options. However, quantifying the flexibility available and required in a
power system is a complicated problem. The paper reviews different flexibility metrics that measure the flexibility
available from each conventional generator and that measure the flexibility available and needed by a power system at
either planning and operational stages. Due to the dynamics of power systems, no flexibility metric has been taken as a
standard. Accordingly, for high variable renewable generation shares, it is necessary to have a deeper understanding of
power ramping scale as well as times when collective ramp events are most likely to occur. The paper introduces a
method for power ramping analysis that will be demonstrated by analysing the output power of aggregated Belgian
wind farms. In addition, the ramp characteristic indicators have been proposed for comparing the ramping behaviour of
VRG in different years or between different countries.
more »
Effort-based Least Cost Path Link State Scheme for Wireless Body Area Networks using MOD-LEACH Protocol
Appears in:
ew 18: e27

Authors:
A. Angel Cerli, K. Kalaiselvi

Published:
12th Jun 2020

Abstract:
WBAN (Wireless Body Area Network) is one of the prominent network models which can be either wearable or can be operated remotely. WSN (Wireless Sensor Network) are combined to form architecture in WBAN. WSN is made up of multiple sensors that are evenly dispersed. The lifetime of the sensor node…WBAN (Wireless Body Area Network) is one of the prominent network models which can be either wearable or can be
operated remotely. WSN (Wireless Sensor Network) are combined to form architecture in WBAN. WSN is made up of
multiple sensors that are evenly dispersed. The lifetime of the sensor node is determined by energy efficiency which is the
main design criticality. To receive data that are from Member Nodes (MNs), transmitters of Cluster Head (CH) must always
be kept in on position and Base Station (BS) loses energy, which is due to tasks between clusters. Besides this loss, BS
positioned near CHs is liable to lose additional energy owing to the above process which creates energy inconsistencies.
These issues are overcome by utilizing the proposed work with Effort-based Least Cost Path Link State Scheme (ELCPLS)
calculation with the vitality productive convention Modified Low Energy Adaptive Clustering Hierarchy (MOD-LEACH).
The simulation results are analyzed through parameters like the network throughput, end to end delay, and the residual
energy.
more »
Framework for Cross Layer Energy Optimization in Wireless Sensor Networks
Appears in:
ew 18: e25

Authors:
R Amutha, Sivasankari H, Venugopal K R

Published:
2nd Jun 2020

Abstract:
Cross-layer routing technique interacts among the various layers of the OSI model and exchanges information among them. It enhances the usage of network resources and achieves significant performance improvements in Quality of Service (QoS) parameters. The Low Energy Adaptive Clustering Hierarchy P…Cross-layer routing technique interacts among the various layers of the OSI model and exchanges information among them. It enhances the usage of network resources and achieves significant performance improvements in Quality of Service (QoS) parameters. The Low Energy Adaptive Clustering Hierarchy Protocol (LEACH) routing algorithm consumes higher energy due to communication overhead and thus, a hierarchical model-based routing protocol named Cross-Layer Energy Efficient Scalable-Low Energy Adaptive Clustering Hierarchy Protocol (CLEES-LEACH) is proposed. This increases scalability using the Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) protocol between the intermediary node and cluster head, with the overhead of latency. A Linear Programming model is used, which further makes use of scheduling to overcome latency. Energy efficiency and latency are addressed with the proposed cross-layer routing algorithm CLEESLEACH. The cross-layer design establishes Physical, Media Access Control (MAC), and Network layer interactions in the proposed algorithm. The present LEACH algorithm also increases the network overhead as there is no mechanism for communication among the network layer and consumes high energy. In the proposed algorithm CLEES-LEACH, latency is reduced to 25% and throughput is maximized to 20% compared to existing Energy-Efficient Distributed Schedule Based protocol (EEDS) and Integer Linear Programming (ILP) protocols. The energy consumption is also reduced to 20 % and the scalability is increased to 10 % compared to the existing LEACH and CL-LEACH protocols. These results are shown by using NS3 simulation.
more »
Improvised_XgBoost Machine learning Algorithm for Customer Churn Prediction
Appears in:
ew 18: e24

Authors:
Swetha P, Dayananda R B

Published:
2nd Jun 2020

Abstract:
The Customer retention has become one of the major issues for the service-based company such as telecom industry; where predictive model to observe customer, behavior is one of the efficient methods in the customer retention process. In this research work, Improvised_XGBoost churn prediction model …The Customer retention has become one of the major issues for the service-based company such as telecom industry; where predictive model to observe customer, behavior is one of the efficient methods in the customer retention process. In this research work, Improvised_XGBoost churn prediction model with feature functions is proposed, the main aim of this model is to predict the customer churn rate. Improvised_XGBoost algorithm is a feature-based machine learning classifier which can be used for the complex dataset. At first, feature function is introduced then loss function is formulated and minimized through iterative approach, later combined with XG_Boost approach it possesses better efficiency. The main feature of Improvised_XGBoost algorithm is that it handles the unstructured dataset attributes efficiently, further feature function combined with XG_Boost. Furthermore, the proposed model is evaluated through various performance metrics such as accuracy, precision and recall. Our model also throws light on identifying the correctly and incorrectly classified instances on South Asia GSM (Global System for Mobile Communication) service provider. The results through the comparative analysis, our model outperforms the other state-of-art technique.
more »
DCE-CT Perfusion Parametric Coloured Image Using Steepest Gradient Approach Based on Time Frame
Appears in:
ew 18: e23

Author:
Habib E. Ashoor

Published:
29th May 2020

Abstract:
Technological advances in medical imaging modality, counting higher special and temporal resolution, have been utilized to aid radiologist in diagnosing, prognostic and, hence, management of brain tumour. After tracer injection, CT scanning along with pharmacokinetic models are applied to measure s…Technological advances in medical imaging modality, counting higher special and temporal resolution, have been utilized to aid radiologist in diagnosing, prognostic and, hence, management of brain tumour. After tracer injection, CT scanning along with pharmacokinetic models are applied to measure several hemodynamic parameters used to describe microvasculature within a targeted region of interest (ROI). These parameters are a choice for diagnostic and prognostic and the likelihood of preferable treatment for brain tumour. The perfusion pixel-wise perfusion map image is a fingerprint of abnormality of ROI within brains that aid radiologist to separate between necrotic and neoplastic of tumour territory and to avoid arterial partial-volume averaging. This work aims to generate pixel-wise perfusion map colour image of brain by using the steepest gradient approach based on the time frame of tracer passage.
more »
A novel systematic and comprehensive method for identification of energy-saving measures
Appears in:
ew 18: e22

Authors:
K. Jemmad, A. Hmidat, A. Saad

Published:
29th May 2020

Abstract:
Energy savings are driven by technological solutions along with behavioural changes and managerial decisions. A systematic and comprehensive method of identification of energy-saving measures can be a powerful tool for that purpose. Within this context, we propose a simplified, systematic and compr…Energy savings are driven by technological solutions along with behavioural changes and managerial decisions. A systematic and comprehensive method of identification of energy-saving measures can be a powerful tool for that purpose. Within this context, we propose a simplified, systematic and comprehensive method to bridge gaps of usual approaches. It was built by combining consecutively 3 developed tools: an energy-saving model, a process-oriented decomposition approach and a multi-criteria decision-making analysis of alternative energy-saving solutions. The outcome is a matrix filled with energy saving measures by corresponding sub-processes in lines to energy parameters such as energy sufficiency or output losses in columns. A central sterile service department in a university hospital in Morocco was analysed at the operating phase. Via this method, we could systematically and fluently list all viable energy-saving features. Concretely, the modernity of the installation confined the margin of manoeuvre to managerial and behavioural measures. The multi-criteria decision-making analysis process applied on steam generator of autoclaves highlighted many instructive points on induction heating development potential despite of its qualitative character.
more »
ESAM - Energy Saving Slot Allocation Based Multicast Routing in Wireless Mesh Network
Appears in:
ew 18: e21

Authors:
S. Seetha, Sharmila Anand John Francis, E. Grace Mary Kanaga, Esther Daniel

Published:
27th May 2020

Abstract:
The wireless mesh network is an emerging technology, offering innovative and efﬁcient solutions typically used for last-mile broadband access. Multicasting is a mode of communication that delivers data from a sender to a set of receivers simultaneously in an effective way. This article deals with t…The wireless mesh network is an emerging technology, offering innovative and efﬁcient solutions typically used for last-mile broadband access. Multicasting is a mode of communication that delivers data from a sender to a set of receivers simultaneously in an effective way. This article deals with the problem of assigning synchronized time slots among the forwarded nodes in the multicast group of a wireless mesh network. To solve this problem, we propose a MAC layer solution that developed with snoozing and awaken slot durations for each node to pick the channel at a specific time and during the remaining period, the node will be in an idle state to listen for the packet arrival using Galois estimation. This mechanism divides the available time into slots depends on the demand of the node transmissions and channel availability. During transmission, each node comes to the awaken state and once the transmission completed the node goes to the snoozing state to preserve the energy. The slot allocation is assigned to each node based on the binary track of the span duration and transmission demands. The slot allocation based on multicast packet forwarding technique reduces the energy expense among nodes and supports to balance network communication duration. This shared slot allocation also minimizes the congestion on the network and creates healthier channel usage during communication. The Simulation results show that the proposed approach has achieved a better outcome than previous works in terms of minimum delay and high throughput.
more »
Gene Expression Analysis to Mine Highly Relevant Gene Data in Chronic Diseases and Annotating its GO Terms
Appears in:
ew 18: e20

Authors:
J. Briso Becky Bell, S. Maria Celestin Vigila

Published:
27th May 2020

Abstract:
Gene Expression Analysis seeks to find the highly expressive genes from a highly dimensional Microarray disease gene Database by using some statistical gene selection approaches based on supervised or unsupervised learning. Gene Ontology (GO) introduces a series of method for annotating gene functi…Gene Expression Analysis seeks to find the highly expressive genes from a highly dimensional Microarray disease gene Database by using some statistical gene selection approaches based on supervised or unsupervised learning. Gene Ontology (GO) introduces a series of method for annotating gene function that combines semantic similarity measures by taking account on the underlying topology of gene interaction networks for structuring the graphs of the gene ontology. Initially, the genes are identified by clustering microarray disease dataset giving gene id of most expressive genes and further the genes are associated based on their biological functionalities using the gene ontology annotations taken from bioinformatics database. Also, t-test is used for finding the up-regulated genes so it can be annotated to find the most significant gene terms in hierarchical graph structure. The proposed method uses term Similarity measures to compare two or more gene ontology terms. Finally, gene functional classification and gene term association is done by forming a graph structure to be readily analysed by medical practitioner intending the nature of disease-causing genes at deeper level of understanding in chronic disorder based health care environments.
more »
Mimicking Attack Detection at Hybrid Level
Appears in:
ew 18: e19

Authors:
V Rama Krishna, R Subhashini

Published:
20th May 2020

Abstract:
Botnets are becoming an easy way of creating multiple attacks. One of them was botnets simulate the behaviour that is very near to the legitimate users. Previous research found through semi-Markov model it was difficult to detect mimicking attack based on browsing statistics if attacking bots were …Botnets are becoming an easy way of creating multiple attacks. One of them was botnets simulate the behaviour that is very near to the legitimate users. Previous research found through semi-Markov model it was difficult to detect mimicking attack based on browsing statistics if attacking bots were sufficiently large in number [1]. By using Bots attackers will collect the user profiles from multiple systems. Bot master (attacker) will study statistics and Bot master will prepare a common profile (or) multiple profiles similar to the user activities. In the next phase, bot master injects profile into user systems through bots. If bot master injects common profile across all bot injected system then the attack was considered as a homogeneous mimicking attack. If bot master injects multiple profiles to the bot injected systems the attack was considered a heterogeneous mimicking attack. As part of our study, we simulated the mimicking attack and worked on detecting at multiple levels. We have developed algorithms of detecting at a server level [2] and the gateway level [3]. In this paper, we are going to discuss the merits and demerits of these two detection algorithms and proposing another architecture module hybrid level detection. Which will be spread across servers and gateway which will have the bird view of activities happening in the network. It collects the statistics from different network elements and based on the analysis of the trace of the bot activities will identify mimicking attack.
more »
Optimizing Hybrid Energy Harvesting Mechanisms for UAVs
Appears in:
ew 18: e18

Authors:
Toan V. Quyen, Cuong V. Nguyen, Anh M. Le, Minh T. Nguyen

Published:
20th May 2020

Abstract:
Drones or unmanned aerial vehicles (UAVs) are often limited in range and duration since they can carry limited fuel or small size batteries. While other technologies focusing on batteries, control algorithms, and devices, the immediate improvements could be energy harvesting in which the ambient re…Drones or unmanned aerial vehicles (UAVs) are often limited in range and duration since they can carry limited fuel or small size batteries. While other technologies focusing on batteries, control algorithms, and devices, the immediate improvements could be energy harvesting in which the ambient resources would provide suﬃcient power for UAVs. This proposed study aims to overcome the limitations in terms of energy and to optimize the energy harvested to prolong the ﬂight time. The proposed mechanism focuses on two resources as radio frequency (RF) and solar energy and optimizes the energy harvesting systems. Two standalone systems are used to extract electricity from surrounding environment sources. RF harvesting energy is supported by a multi-stage of the voltage multiplier. The solar energy is absorbed by solar panels with mounting more the boost converter and using the maximum power point tracking method to achieve better eﬃciency. The output values of the hybrid energy system will be adjusted by stabilizer and boost the current system to have proper voltage and current with the battery inputs. By adding the supported circuit and methods, the simulation results are suitable to charge electricity for the battery having the capacity 7660 mAh and show promise.
more »
IoT-Chain: Security of things for Pervasive, Sustainable and Efficient Computing using Blockchain
Appears in:
ew 18: e17

Authors:
Mohd Majid Akhtar, Danish Raza Rizvi

Published:
20th May 2020

Abstract:
This paper unfolds the infancy of the exquisite experience of the ‘Internet of Things’. It will address the thrilling potential of the looming opportunity of IoT & will echo the integration of things when harnessed with the bubble of internet. The topic is vulnerable due to handful factors but chie…This paper unfolds the infancy of the exquisite experience of the ‘Internet of Things’. It will address the thrilling potential of the looming opportunity of IoT & will echo the integration of things when harnessed with the bubble of internet. The topic is vulnerable due to handful factors but chiefly improves the insights and will observe exponential rise in the ‘Next generation’. The new rule enchanted for future will be “Anything that can be connected will be connected”. Moreover, cognitive consciousness of people will understand that IoT is the next big thing without procrastinating, in particular. This paradigm will review the implementation and challenges of several domotics technologies and others in general within the communication field and its contribution to the ‘Smart World’, exploring supplementary in fields of healthcare, living culture, transportation and furthermore that collectively rise for the world of Ubiquitous computing or Pervasive computing around us. Pervasive computing in short serves as a meaning where smart devices are connected as network and available all time. By scratching past, we have seen DDoS attack happening in 2016 via botnet attacks & malware from the devices such as IP security cameras, routers, printers. IoT as of now, have taken steps for the security but still lacks for the major part. Blockchain, the revolutionary technology behind the famous Bitcoin, which is cryptographically secured and decentralized, hence, can act as the liberator for the security of IoT devices. Blockchain in short are distributed immutable ledger that maintains the integrity of the network by achieving consensus algorithms like Proof of Work or Proof of Stake. Hence, an attacker won’t be able to take down the IoT devices as easy as it was taken down before and eventually, harder to attack or hack the network. This manuscript discusses the use of Blockchain technology implementation for the security of IoT devices along with the sustainable and energy efficient solution towards the problem stated and addresses the limitations, if any. We also discuss the future prospect for IoT, blockchain and other possible architectures.
more »
Extreme Gradient Boosting Algorithm for Energy Optimization in buildings pertaining to HVAC plants
Appears in:
ew 18: e26

Authors:
Monika Goyal, Mrinal Pandey

Published:
15th May 2020

Abstract:
With the recent advancements in technology, energy is being consumed at a great pace in almost every region. Buildings are the biggest consumer of energy, almost 40% of total energy is being consumed by the buildings. The purpose of this research is to investigate Ensemble Learning based optimal so…With the recent advancements in technology, energy is being consumed at a great pace in almost every region. Buildings are the biggest consumer of energy, almost 40% of total energy is being consumed by the buildings. The purpose of this research is to investigate Ensemble Learning based optimal solution for predicting energy consumption in Heating, Ventilation and Air Conditioning (HVAC) plants as the HVAC unit consumes a large percentage of energy in buildings. The study focuses on Cooling Tower data of HVAC plants as Cooling Tower carries a major responsibility for maintaining ambient within a building. In this paper, four Regression techniques namely Multiple Linear Regression, Random Forests, Gradient Boosting Machines and Extreme Gradient Boosting have been experimented. The findings reveal that Extreme Gradient Boosting Ensemble outperforms with higher accuracy and lower in overfitting.
more »
Predicting Instructor Performance in Higher Education Using Intelligent Agent Systems
Appears in:
ew 18: e16

Authors:
J. Sowmiya, K. Kalaiselvi

Published:
15th May 2020

Abstract:
The arrival of information and communication technology is increasing due to growth of World Wide Web. Predicting the instructor’s performance using the teaching style and their student’s profile is a challenging issue in the education field. Several studies have been conducted to improve the stude…The arrival of information and communication technology is increasing due to growth of World Wide Web. Predicting the instructor’s performance using the teaching style and their student’s profile is a challenging issue in the education field. Several studies have been conducted to improve the student’s quality by following dynamic contents. Ant Colony Optimization (ACO) is being widely studied by the researchers to optimize the quality of the educational content. This paper researches on predicting the performance of instructors using their teaching attributes. Initially, the profile of the student and the teaching attributes are designed to form the teaching route. Ants as intelligent agents such as filtering agent and a teaching path agent were designed. Experimental results have shown the efficiency of the proposed model. Finally, we discover that the certain set of knowledge like resource efficiency, updated knowledge, positive approach and well –planned teaching models plays a vital role to predict the instructor’s performance [RA-7] .
more »
Secure Smart and Remote Multipurpose Attendance Monitoring System
Appears in:
ew 18: e15

Authors:
Azeem Khan, NZ Jhanjhi, Mamoona Humayun

Published:
15th May 2020

Abstract:
Attendance monitoring system is an essential element in all organizations and is considered as an integral part of efficient organizational information systems. Most of the time it so happens that if any stakeholder wants to meet concerned in charge employees they need to take an appointment and th…Attendance monitoring system is an essential element in all organizations and is considered as an integral part of efficient organizational information systems. Most of the time it so happens that if any stakeholder wants to meet concerned in charge employees they need to take an appointment and then consult them. In situations where meeting becomes inevitable there is no system available to trace them with in the vicinity of the organization. The current research has been undertaken to address this issue, which is to know whereabouts of in charge employees during organizational timings. The proposed system works on RFID technology where in, as the concerned employees enters in the organization vicinity, his RFID will be validated with a check from the organizational database, if he/she is indeed an employee of the respective organization he/she will be allowed to enter into workspace and his attendance will be updated in the respective organizational database. Their status will be displayed on the screens available outside the workspace; apart from it the details will also be updated on cloud and the stakeholders willing to meet their respective personnel can easily see from the respective web-portal and can make an appointment based on their availability.
more »
Experimental study on electrical connections of PV system for improved performance under shadow test cases
Appears in:
ew 18: e14

Authors:
Arthur Bleicher, Rupendra Pachauri, Piyush Kuchhal, Kamal Bansal

Published:
15th May 2020

Abstract:
In this paper, an experimental study is carried out in order to compute the impacts of shading effect on photovoltaic (PV) system performance. Four numbers of 20W solar PV modules are considered and arrange in the 2x2 size of array for extensive analysis. Moreover, a performance comparison is carri…In this paper, an experimental study is carried out in order to compute the impacts of shading effect on photovoltaic (PV) system performance. Four numbers of 20W solar PV modules are considered and arrange in the 2x2 size of array for extensive analysis. Moreover, a performance comparison is carried out for all the four PV modules organized in seriesparallel (SP), Total cross-tied (TCT) and Latin Square puzzle based Latin Square-Total cross-tied (LS-TCT) electrical connections. In addition of this, three types of shadow test cases are taken to show the impact on behaviour of currentvoltage (I-V) and power-voltage (P-V) curves. Furthermore, the output power from PV array reduces as well as P-V curves exhibit multiple power maxima points such as local and global maximum power point (GMPP) due to shadow effect. The performance index parameters such as power at GMPP, minimum power losses, fill factor (FF) and efficiency are analysed experimentally under the distinguish shadow cases.
more »
Circular packing for support-free structures
Appears in:
ew 18: e13

Authors:
I. Yanchevskyi, R. Lachmayer, I. Mozgova, R-B. Lippert, G. Yaskov, T. Romanova, I. Litvinchev

Published:
15th May 2020

Abstract:
An approach for designing topologically optimized parts is proposed. It is used for manufacturing support-free structures by Direct Metal Laser Sintering (DMLS). This integral approach allows obtaining parts taking into account their strength properties. It combines weak sensitivity to the directio…An approach for designing topologically optimized parts is proposed. It is used for manufacturing support-free structures by Direct Metal Laser Sintering (DMLS). This integral approach allows obtaining parts taking into account their strength properties. It combines weak sensitivity to the direction of printing with the simplicity of the subsequent post-processing. A circular packing model is proposed to optimize the part geometry subject to the DMLS constraints. A fast heuristic algorithm is developed to solve the corresponding optimization problem. A prototype obtained by this optimized design approach is presented.
more »
Data Driven Prognosis of Cervical Cancer Using Class Balancing and Machine Learning Techniques
Appears in:
ew 18: e12

Authors:
Mamta Arora, Sanjeev Dhawan, Kulvinder Singh

Published:
7th May 2020

Abstract:
INTRODUCTION: With the progression of innovation and its joint effort with health care services, the world has achieved a lot of benefits. AI procedures and machine learning techniques are constantly improving existing statistical methods for better results in the medical field. These improved meth…INTRODUCTION: With the progression of innovation and its joint effort with health care services, the world has achieved a lot of benefits. AI procedures and machine learning techniques are constantly improving existing statistical methods for better results in the medical field. These improved methods will assist health care providers in providing intelligent medical services.

OBJECTIVES: This Cervical cancer is the fourth most common cancer among the other female cancers. This cancer is preventable with early diagnosis. This reason becomes the motivation of the research work. For efficiently and timely prognosis of cervical cancer require a computer-assisted algorithm.

METHODS: The work demonstrated in this paper contributes to the techniques of machine learning for diagnosing cervical cancer. The machine learning algorithms used in this research are K Nearest Neighbour, Support Vector Machine and Random Forest Tree. These classification algorithms are used with class balancing techniques including undersampling, Oversampling and SMOTE.

RESULTS: The evaluation metrics used for comparative analysis includes accuracy, sensitivity, specificity, negative predicted accuracy, and positive predictive accuracy. The results show the Random Forest algorithm with SMOTE technique delivered more promising results over SVM and KNN for four target variables Schiller, Biopsy, Hinselmann , and Cytology respectively.

CONCLUSION: It is concluded that with the limited amount of data which also suffers from the unbalancing problem the promising results drawn using the proposed model.
more »
An Energy Efficient Node Scheduling based Congestion Control Scheme for WSN Multicasting
Appears in:
ew 18: e11

Authors:
G. Raja Vikram, K. Shahu Chatrapati, A.V.N. Krishna

Published:
29th Apr 2020

Abstract:
Wireless Sensor Network (WSN) is the most preferred technology for communication in resource constrained environments. They offer high-quality data propagation with limited delay. Sensor Network can be established with the help of self-configurable nodes to monitor various physical phenomenon. Mult…Wireless Sensor Network (WSN) is the most preferred technology for communication in resource constrained environments. They offer high-quality data propagation with limited delay. Sensor Network can be established with the help of self-configurable nodes to monitor various physical phenomenon. Multicasting in WSN results in low communication control overhead but may lead to congestion, which results in data loss, redundant transmissions, poor throughput and reduced network lifetime. In this paper, we propose a protocol to estimate the Degree of Congestion (CD) at each node to ensure load balance and avoid further congestion within the network. It is demonstrated that the proposed scheme is better compared with existing congestion control schemes in terms of end-to-end delay and energy efficiency.
more »
Efficient Diagnosis of Liver Disease using Support Vector Machine Optimized with Crows Search Algorithm
Appears in:
ew 18: e10

Authors:
D. Devikanniga, Arulmurugan Ramu, Anandakumar Haldorai

Published:
29th Apr 2020

Abstract:
The early and accurate prediction of liver disease in patients is still a challenging task among medical practitioners even with latest advanced technologies. The support vector machines are widely used in medical domain. It has proved its efficiency on producing good diagnostic parameters. These r…The early and accurate prediction of liver disease in patients is still a challenging task among medical practitioners even with latest advanced technologies. The support vector machines are widely used in medical domain. It has proved its efficiency on producing good diagnostic parameters. These results can be further improved by optimizing the hyperparameters of support vector machines. The proposed work is based on optimizing support vector machines with crow search algorithm. This optimized support vector machine classifier (CSA-SVM) is used for accurate diagnosis of Indian liver disease data. The various similar state of art algorithms are taken for comparison with proposed approach to prove its efficient. The performance of CSA-SVM is found to be outstanding among all other approaches in terms of all metrics taken for comparison. It has yielded the classification accuracy of 99.49%.
more »
Level-6 Automated IoT integrated with Artificial Intelligence Based Big Data-Driven Dynamic Vehicular Traffic Control System
Appears in:
ew 18: e9

Authors:
Maria Michael Visuwasam L, Ashwin Balakrishna, Nikitha Keerthana S R, Kowsalyaa V

Published:
29th Apr 2020

Abstract:
The current traffic control system (TCS) is not the most efficient system present for regulating traffic. Hoping to solve this we come up with dynamic data recording systems which encompasses of RFID tag and reader. The traffic density at each lane is calculated based on count of RFID’s apprehended…The current traffic control system (TCS) is not the most efficient system present for regulating traffic. Hoping to solve this we come up with dynamic data recording systems which encompasses of RFID tag and reader. The traffic density at each lane is calculated based on count of RFID’s apprehended. Depending on the density, the TCS is assigned a value of 15 to 70 seconds in round robin method for control of vehicular congestion. This proposed model also uses image processing for the detection of ambulances and also an active RFID for tracking the real-time location of these assets or in high-speed environments such as that of tolling. This allows the passage of ambulances through dense traffic. This system hopes to achieve to reduce the needless wait of crowded side, to reduce the long traffic chains, and to allow emergencies (medical/ vigilante) quickly through the traffic. The major merits of the system are it prevents unnecessary waiting time when no cars are present at the opposite route, gives the commuting passengers a better and more comfortable driving experience through their journey.
more »
Trends in digitization of the supply chain: A brief literature review
Appears in:
ew 18: e8

Authors:
Jose Antonio Marmolejo-Saucedo, Scarlett Hartmann

Published:
27th Apr 2020

Abstract:
The latest advances in technology, reﬂected as the Industrial Revolution 4.0, have forced the digitization of supply chains and logistics in general. Only companies that can prepare for and embrace change will survive in the new business environment. Businesses in industries that do not adapt to th…The latest advances in technology, reﬂected as the Industrial Revolution 4.0, have forced the digitization of supply chains and logistics in general. Only companies that can prepare for and embrace change will survive in the new business environment. Businesses in industries that do not adapt to the new rules of the game will become obsolete in market share. The transformation of a supply and logistics chain, from an old model to a digital one, requires strict organization. It is a great eﬀort on a human level, with the ease of requiring low operating costs. The reward for achieving this change is openness to a global business, where the possibilities grow exponentially and proportionally with the capacity of the available work team. Big data emerges as the beginning of the digitization of supply chains and logistics in the global world. The new environment requires a permanent update of the services software based on market needs. Generally, this does not imply changing technology immediately. However, the goal is to be ready for evolution when a novelty means improvement. This paper brieﬂy presents the evolution of supply chains in the digital context of operational functions.
more »
A proposal for the supply chain design: A digitization approach
Appears in:
ew 18: e7

Authors:
Jose Antonio Marmolejo-Saucedo, Brenda Retana-Blanco, Roman Rodriguez-Aguilar, Erika Pedraza-Arroyo

Published:
27th Apr 2020

Abstract:
The logistics network of an automotive company in Mexico, was analyzed to propose a better logistics network in the country to improve delivery times to customers. The network design considers elements of digitization of Greenfield Analysis and Network Optimization processes. Taking into account …The logistics network of an automotive company in Mexico, was analyzed to propose a better logistics network
in the country to improve delivery times to customers. The network design considers elements of digitization
of Greenfield Analysis and Network Optimization processes. Taking into account the information given by the
company, it was possible to obtain optimal scenarios for better operation, which involved the construction of
distribution centers throughout Mexico.
more »
Determining the Quality of Electric Motors by Vibro-Diagnostic Characteristics
Appears in:
ew 18: e6

Authors:
Shch. Arhun, V. Migal, A. Hnatov, S. Ponikarovska, A. Hnatova, S. Novichonok

Published:
23rd Apr 2020

Abstract:
Experimental studies of vibrations of asynchronous electric motors (EMs) of the electric bus traction electric drive are carried out in the paper. The presented studies are based on generalization of the diagnostic features of vibration characteristics and statistics concerning the limiting value…Experimental studies of vibrations of asynchronous electric motors (EMs) of the electric bus traction electric drive are
carried out in the paper. The presented studies are based on generalization of the diagnostic features of vibration
characteristics and statistics concerning the limiting values of vibration parameters of EMs and their dependence on the
technical condition. The analysis of the obtained results allowed us to determine the permissible vibration levels of EMs in
the frequency range from 5 Hz to 10 kHz. The method of diagnosing EMs traction electric drive according to the
indicators of vibration levels is developed, which allows to evaluate their technical condition. The values of the
permissible vibrational accelerations of the electric bus EMs are determined, which enable to estimate their technical level.
This method allowed to develop classes of evaluation of the EMs technical condition by the level of their vibration, which
makes possible to predict their resource.
more »
An adaptive ensemble localization approach for sensor nodes in WSN-IoT
Appears in:
ew 18: e5

Authors:
Ravi Sharma, Shiva Prakash

Published:
23rd Apr 2020

Abstract:
Localization is an essential module for most protocols and applications in Wireless Sensor Networks - Internet of Things (WSN-IoT). Among the well-known approaches available for WSN-IoT localization, the algorithm requires at least one, two, or three beacon nodes-based localization approaches. Ma…Localization is an essential module for most protocols and applications in Wireless Sensor Networks - Internet of Things
(WSN-IoT). Among the well-known approaches available for WSN-IoT localization, the algorithm requires at least one,
two, or three beacon nodes-based localization approaches. Many other localization protocols use a small set of beacon nodes
for the localization of sensor nodes. However, still, the authors are not able to provide an accurate and reliable approach in
the field of WSN-IoT. Thus, this work provides an adaptive ensemble localization approach in WSN-IoT. The proposed
approach adaptively uses the concept of available single, two, and three beacons nodes-based localization approaches
according to the number of available beacon nodes. By comparing available single, two, or three beacons nodes-based
localization approaches the simulation results of the proposed work outperformed in terms of fast convergence rate, less
erroneous and higher accuracy with reducing the line of sight problem.
more »
A new heuristic with a multi-threaded implementation of a modified Firefly Algorithm
Appears in:
ew 18: e4

Authors:
Alfonso Murillo-Suarez, Felix Martinez-Rios

Published:
15th Apr 2020

Abstract:
In this article, we present a modified version of the Firefly Algorithm implemented in a multi-threaded model to improve the results obtained by the original algorithm significantly. This multi-threaded algorithm allows the threads to obtain different results by the independent execution of the h…In this article, we present a modified version of the Firefly Algorithm implemented in a multi-threaded model
to improve the results obtained by the original algorithm significantly. This multi-threaded algorithm allows
the threads to obtain different results by the independent execution of the heuristic method in each of them,
although for keeping all the threads with significant executions, the algorithm performs some crossover
techniques, explained in detail in this article, for the threads to learn between them while maintaining its
independence. For testing the new algorithm, we use the six benchmark functions used in the literature for
testing the original Firefly Algorithm, and to prove that the improved results are significant, we perform the
Wilcoxon test to the results obtained. The results obtained with this new heuristic proved to be significantly
better while taking advantage of today’s commercial processors.
more »
Rain-Fall Optimization Algorithm with new parallel implementations
Appears in:
ew 18: e3

Authors:
Juan Manuel Guerrero-Valadez, Felix Martínez-Rios

Published:
15th Apr 2020

Abstract:
Rainfall Optimization Algorithm (RFO) is a nature-inspired metaheuristic optimization algorithm. RFO mimics the movement of water drops generated during rainfall to optimize a function. The paper study new implementations for RFO to offer more reliable results. Moreover, it studies three restarti…Rainfall Optimization Algorithm (RFO) is a nature-inspired metaheuristic optimization algorithm. RFO
mimics the movement of water drops generated during rainfall to optimize a function. The paper study
new implementations for RFO to offer more reliable results. Moreover, it studies three restarting techniques
that can be applied to the algorithm with multithreading. The different implementations for the RFO are
benchmarked to test and verify the performance and accuracy of the solutions. The paper presents and
compares the results using several multidimensional testing functions, as well as the visual behavior of the
raindrops inside the benchmark functions. The results confirm that the movement of the artificial drops
corresponds to the natural behavior of raindrops. The results also show the effectiveness of this behavior to
minimize an optimization function and the advantages of parallel computing restarting techniques to improve
the quality of the solutions.
more »
An architectural framework of a Decision Support System (DSS) to increase the returns of small scale farmers in Kanchipuram District, India
Appears in:
ew 18: e2

Authors:
K. Sornalakshmi, S. Sindh, G. Sujatha, D. Hemavathi

Published:
14th Apr 2020

Abstract:
In India, 80% of farmers are small scale and marginal farmers. The sub section of these farmers who cultivate vegetables do not get considerable returns on their investment because their produce has to pass through various layers of agents or distributors before reaching the end users. This proce…In India, 80% of farmers are small scale and marginal farmers. The sub section of these farmers who cultivate
vegetables do not get considerable returns on their investment because their produce has to pass through various
layers of agents or distributors before reaching the end users. This process could be regulated to minimize round
trip transfer of vegetables for the sake of increased farmer returns. Also, many farmers cultivate the same crop
resulting in over production which in turn affects the returns of all farmers cultivating that crop. There are many
government schemes like FPOs (Farmer Producer Organizations), PPC (Primary Processing Centers), SFAC
(Small Farmers Agri Consortium) to cater this issue. This paper surveys all the existing schemes and mobile
platforms. We also propose a framework for a holistic mobile app based decision support system for small scale
farmers. This proposed application helps the farmers to increase the returns without middleman and promote
community farming.
more »
A Comparative study about Workload prediction from one time forecast with cyclic forecasts using ARIMA model for cloud environment
Appears in:
ew 18: e1

Authors:
Yuvha Secaran R, Sathiyamoorthy E

Published:
14th Apr 2020

Abstract:
Auto-scaling systems help provisioning resources on demand which helps tap into the elastic nature of the cloud. The applications hosted on the cloud tend to face workload surges which causes the response to be slow or denied. To tackle provisioning resources on demand there are reactive and proa…Auto-scaling systems help provisioning resources on demand which helps tap into the elastic nature of the cloud. The
applications hosted on the cloud tend to face workload surges which causes the response to be slow or denied. To tackle
provisioning resources on demand there are reactive and proactive strategies in place. The topic of interest is the proactive
strategies which uses a quantified metric as an input to provision resources before the demand arises. The quantified metric
is the prediction obtained as a result of analysing the historical data of a application. This paper focuses using historical
data of requests served by a web application to obtain a forecast value. The forecast value is the quantified metric which
influences the scaling decisions. Conclusions are drawn about the accuracy of the metric based on prediction intervals
along with the varied ways of forecast.
more »

Pitch Angle Control of Wind Turbine Using Adaptive Fuzzy-PID Controller
Appears in:
ew 20(28): e15

Authors:
Safwan A. Hamoodi, Farah I. Hameed, Ali N. Hamoodi

Published:
24th Jun 2020

Abstract:
The control strategy for wind turbine is very important an equipage that diverts the kinetic energy of the wind to electrical power. The rotation speed control of wind turbine is necessary for highest degree energy capture and pitch angle advanced control planning depending on traditional PID con…The control strategy for wind turbine is very important an equipage that diverts the kinetic energy of the wind to electrical
power. The rotation speed control of wind turbine is necessary for highest degree energy capture and pitch angle advanced
control planning depending on traditional PID controller and fuzzy logic adaptive PID controller. Input variables of fuzzy
logic controller (FLC) are selected to give smooth control of pitch angle which in turns will adjust the speed of wind turbine
at reference level. A very small adaptation in pitch angle has influence on the ancestry of obtainable energy, torque and output
power of the grid. A modeling of self-excitation induction generator (SEIG) 1KW wind turbine is achieved by
Matlab/Simulink package and all modeling equations are studied. The effect of pitch angle on speed of the wind turbine is
studied and a comparison between traditional PID controller and fuzzy logic adaptive PID controller was made.
more »
Modelling and Simulation for Efficiency Factor Evaluation of Maintenance Strategies in a Computer System
Appears in:
ew 20(28): e14

Authors:
R. Oudjedi Damerdji, M. Noureddine

Published:
29th Apr 2020

Abstract:
An efficient maintenance allows extension of operating life of system, thus contributing to increase system performance. Computer systems like other systems must operate without interruption and applied strategies of maintenance must be efficiency. This paper proposes to define a maintenance strat…An efficient maintenance allows extension of operating life of system, thus contributing to increase system performance. Computer systems like other systems must operate without interruption and applied strategies of maintenance must be efficiency. This paper proposes to define a maintenance strategy of computer system subjected both to corrective and preventive maintenance. These aspects are modelled by competing risks concept and the Alert-delay model, which are generally used in industrial systems. The approach is applied on real data from computer system, localized in an industrial company and different scenarios are generated following various maintenance strategies. These policies are evaluated through minimal, perfect and imperfect models of maintenance for corrective and preventive maintenance. Simulation results give failure intensity assessment and efficiency factor value. Final outcomes are validated by dependability measures to select best strategies of maintenance.
more »
Estimation of Distribution Algorithm for solving the Multi-mode Resource Constrained Project Scheduling Problem
Appears in:
ew 20(27): e6

Authors:
Gaafar Sadeq S. Mahdi, Julio Madera Quintana, Pedro Piñero Pérez, Salah Hassan Al-subhi

Published:
24th Apr 2020

Abstract:
The Multi-mode Resource Constrained Project Scheduling Problem is characterized by a set of tasks, resources and an objective function. All tasks of a project must be organized carefully taking into account precedence relations, the mode in which they are performed and availability of resources at …The Multi-mode Resource Constrained Project Scheduling Problem is characterized by a set of tasks, resources and an objective function. All tasks of a project must be organized carefully taking into account precedence relations, the mode in which they are performed and availability of resources at all times. At present, around 71% of the projects related to the software industry are renegotiated or canceled causing negative impacts on both, social and economic areas. Among the root causes of these failures, deficiencies in planning processes and a lack of tools to help generate quasi-optimal project schedules are found. This kind of problem can be presented as an optimization problem subjected to two groups of restrictions: precedence relations and resource constraints. This paper aims at proposing a new Estimation of Distribution Algorithm applied for the resolution of the Multi-mode Resource Constrained Project Scheduling Problem. In particular, this algorithm is based on Factorized Distribution Algorithm in which the precedence relations of the problem are represented by the factorization. A comprehensive computational experiment is described, performed on a set of benchmark instances of the well-known Project Scheduling Problem Library (PSPLIB) in its Multi-mode variant. The results show that the proposed algorithm can find similar or sometimes even shorter makespans than others reported in bibliography.
more »
Solution Strategy for One-to-One Pickup and Delivery Problem Using the Cyclic Transfer Approach
Appears in:
ew 20(27): e5

Authors:
R. Dupas, I. Grebennik, I. Litvinchev, T. Romanova, O. Chorna

Published:
24th Apr 2020

Abstract:
One-to-one Pickup and Delivery Problem (PDP) with loading constraints is studied. Mathematical model is presented using combinatorial configurations approach for pickup and delivery and the phi-function technique for loading constraints. Two-stage solution strategy is used. The first stage has two …One-to-one Pickup and Delivery Problem (PDP) with loading constraints is studied. Mathematical model is presented using combinatorial configurations approach for pickup and delivery and the phi-function technique for loading constraints. Two-stage solution strategy is used. The first stage has two levels: a) clustering the set of pickup and delivery points regarding to the set of vehicles and b) solving the PDP problem with 3D loading constraints for each vehicle within the appropriate cluster. The second stage improves the solution found at the previous stage and is based on the cyclic transfer approach and cyclic permutations. Computational results are presented to support efficiency of the approach.
more »
A Direct Speech-to-Speech Neural Network Methodology for Spanish-English Translation
Appears in:
ew 20(27): e4

Authors:
Manuel Quintana, Miguel Bernal

Published:
24th Apr 2020

Abstract:
In this work, a novel direct speech-to-speech methodology for translation is proposed; it is based on an LSTM neural network structure which has proven useful for translation in the classical way, i.e., the one consisting of three stages: speech-to-text conversion, text-to-text translation, and t…In this work, a novel direct speech-to-speech methodology for translation is proposed; it is based on an LSTM
neural network structure which has proven useful for translation in the classical way, i.e., the one consisting
of three stages: speech-to-text conversion, text-to-text translation, and text-to-speech synthesis. In contrast
with traditional approaches, the one in this work belongs to the recently appeared idea of direct translation
without text representation, as this sort of training better corresponds to the way oral language learning takes
place in humans. As a proof of concept digits are translated from an audio source in Spanish and pronounced
as an audio signal in English. Advantages and disadvantages of the proposal when compared with traditional
methodologies are discussed.
more »
Feasibility in the implementation of 4.0 technologies in the intralogistic activities of Logistic Operators of the Department of Atlántico, a look towards the organizational efficiency
Appears in:
ew 20(27): e3

Authors:
Jania Saucedo Martínez, Carlos Regalao Noriega

Published:
15th Apr 2020

Abstract:
The intralogistic activities of the logistics operators are defined in the grouping of all the processes linked to the reception, storage and distribution of raw materials and final products. Therefore, the study of intralogistic processes as an activity is part of the value chain of a company an…The intralogistic activities of the logistics operators are defined in the grouping of all the processes linked to the reception,
storage and distribution of raw materials and final products. Therefore, the study of intralogistic processes as an activity is
part of the value chain of a company and, through its management, the result of the operation and an adequate level of
customer service will depend on it. The project proposes to evaluate the feasibility of the use of technologies of the industry
4.0 in the intralogistic activities that allow the integration of processes of automation and control for the continuous
improvement of the decision making in the processes of storage, load and unload of the logistic operators of the department
of the Atlantic - Colombia for the improvement of the enterprise efficiency.
Therefore, a review of the literature is carried out framed in three categories: intralogistics, Industry and Technology 4.0,
and the application of an instrument to measure the absorption of technologies 4.0 in the company under study, which was
validated as a result the importance of Simulation, Automation and load sensing, Collaborative Robotics, Big Data powered
by M2M (Machine to Machine communication) and Predictive maintenance - predictive analysis and M2M communication
as a solution to the needs that are represented in the environment of the Logistics Operators of the Department of Atlántico
- Colombia, based on the challenges and projections imposed by the dynamics of the international market and especially the
free trade agreements that the New Granada nation has signed and framed in recent years with the intention of making its
economy and especially the organizations of its different regions more efficient.
more »
Over-sampling imbalanced datasets using the Covariance Matrix
Appears in:
ew 20(27): e2

Authors:
Ireimis Leguen-deVarona, Julio Madera, Yoan Martínez-López, José Carlos Hernández-Nieto

Published:
15th Apr 2020

Abstract:
INTRODUCTION: Nowadays, many machine learning tasks involve learning from imbalanced datasets, leading to the miss-classification of the minority class. One of the state-of-the-art approaches to ”solve” this problem at the data level is Synthetic Minority Over-sampling Technique (SMOTE) which in …INTRODUCTION: Nowadays, many machine learning tasks involve learning from imbalanced datasets,
leading to the miss-classification of the minority class. One of the state-of-the-art approaches to ”solve” this
problem at the data level is Synthetic Minority Over-sampling Technique (SMOTE) which in turn uses KNearest Neighbors (KNN) algorithm to select and generate new instances.

OBJECTIVES: This paper presents SMOTE-Cov, a modified SMOTE that use Covariance Matrix instead of
KNN to balance datasets, with continuous attributes and binary class.

METHODS: We implemented two variants SMOTE-CovI, which generates new values within the interval of
each attribute and SMOTE-CovO, which allows some values to be outside the interval of the attributes.

RESULTS: The results show that our approach has a similar performance as the state- of-the-art approaches.

CONCLUSION: In this paper, a new algorithm is proposed to generate synthetic instances of the minority
class, using the Covariance Matrix.
more »
Using Hadamard transform for cryptanalysis of pseudo-random generators in stream ciphers
Appears in:
ew 20(27): e1

Authors:
Guillermo Sosa-Gómez, Omar Rojas, Octavio Páez-Osuna

Published:
15th Apr 2020

Abstract:
In this work we discuss results obtained from an application of the Hadamard transform to cryptanalysis, and in particular, we determine the probability to decipher different pseudo-random number generators used as components of stream ciphers. Also, we found a relationship between entropy and Ha…In this work we discuss results obtained from an application of the Hadamard transform to cryptanalysis, and
in particular, we determine the probability to decipher different pseudo-random number generators used as
components of stream ciphers. Also, we found a relationship between entropy and Hadamard’s values.
more »
Performance Analysis of DCT Based Lossy Compression Method with Symmetrical Encryption Algorithms
Appears in:
ew 20(28): e13

Authors:
Neetu Gupta, Ritu Vijay, Hemant Kumar Gupta

Published:
14th Apr 2020

Abstract:
In the modern era, the issues pertaining with secured, fast and efficient image transmission with limited bandwidth are challenging task. This provides a platform to the researcher to work on image compression-encryption (CE) methodologies. To influence the degree of compression, this paper prese…In the modern era, the issues pertaining with secured, fast and efficient image transmission with limited bandwidth are
challenging task. This provides a platform to the researcher to work on image compression-encryption (CE)
methodologies. To influence the degree of compression, this paper presents a DCT based compression algorithm using
luminous quantization followed by advanced encryption standard (AES) and data encryption standard (DES) encryption
methods. In this paper, the effect of encryption over compressed image in terms of PSNR and SSIM is analysed.
Efficiency of the AES and DES encryption algorithms are compared based on key space, histogram and differential
analysis. The experiment is performed on five different test images. From the results, it is observed that DCT-AES
combination of compression-encryption algorithms gives higher resistance to redundant data and provides better security
to information during transmission.
more »
Hybrid Algorithm Based on Hyper Spectral Noise Removal for Satellite Image
Appears in:
ew 20(28): e12

Author:
N. Hema Rajini

Published:
26th Mar 2020

Abstract:
Usually the image obtained from a sensor is blurred by noise. Such noises are identified and eliminated by the procedure called denoising. The cross breed (Hybrid) algorithm is a popular technique that has been utilized recently. The Discrete Cosine Transformation (DCT) and Discrete Wave Transforma…Usually the image obtained from a sensor is blurred by noise. Such noises are identified and eliminated by the procedure called denoising. The cross breed (Hybrid) algorithm is a popular technique that has been utilized recently. The Discrete Cosine Transformation (DCT) and Discrete Wave Transformation (DWT) are the generally utilized transform in which discrete cosine transformation requires less energy and computation resource and discrete wavelet transformation has multiple transformations. This Hybrid Algorithm combines the twin benefits of both the transformation and thus eliminates the negative contour and blocks the traces completely. The effectiveness of the proposed hybrid Algorithm is verified with different pictures by finding the average Squared Blunder, PSNR, Variance, architectural resemblance Index and average architectural resemblance Index.
more »

Calculation of the Levelised Cost of Electrical Energy Storage for Short-Duration Application. LCOS Sensitivity Analysis
Appears in:
ew 19(21): e2

Authors:
Vikenty Melnikov, Gleb Nesterenko, Anton Potapenko, Dmitry Lebedev

Downloads:
1666

Abstract:
This paper research the issues of economic comparison of electrical energy storage systems based on the levelised cost of storage (LCOS). One of the proposed formulas for LCOS calculation was given, the parameters to be considered and the basic principles of their calculation were examined in detai…This paper research the issues of economic comparison of electrical energy storage systems based on the levelised cost of storage (LCOS). One of the proposed formulas for LCOS calculation was given, the parameters to be considered and the basic principles of their calculation were examined in detail. The LCOS was calculated for an electrical energy storage system, whose main function is to compensate for rapid changes in load power. LCOS sensitivity to changes in variables was analysed. The scope of potential application of the formula under consideration was specified, and the limitations preventing its wider use were indicated.
more »
Capacity Enhancement and Voltage Stability Improvement of Power Transmission Line by Series Compensation
Appears in:
ew 19(23): e3

Authors:
Md. Raihan-Al-Masud, Md. Minarul Islam, Md. Shahriar Hasan, Prajoy Podder

Downloads:
1401

Abstract:
To install a new infrastructure of a power transmission line is not only costly but also time-consuming, and it also have some harmful impact on our environment and therefore existing transmission infrastructure is important to use effectively. FACTS is a popular solution to utilize this existing p…To install a new infrastructure of a power transmission line is not only costly but also time-consuming, and it also have some harmful impact on our environment and therefore existing transmission infrastructure is important to use effectively. FACTS is a popular solution to utilize this existing power transmission system by using series compensation by means of the series capacitor to enhance the power transmission capacity as well as voltage stability. This paper explores the utilization of series capacitor applying to the power grid of Eastern part of Bangladesh. For doing this we have considered the analytical calculation of 10% to 85% compensation of that power line. As a result, we have observed that the power transfer capacity has been enhanced about 37 times and it also improve the voltage stability, when the compensation ration is 85%. We consider our calculation mathematically and represent the load curve and voltage profile by plotting in Matlab.
more »
Improved Prediction of Wind Speed using Machine Learning
Appears in:
ew 19(23): e2

Author:
Senthil Kumar P

Downloads:
1342

Abstract:
The prediction of wind speed plays a significant role in wind energy systems. An accurate prediction of wind speed is more important for wind energy systems, but it is difficult due to its uncertain nature. This paper presents three artificial neural networks namely, Back Propagation Network (BPN),…The prediction of wind speed plays a significant role in wind energy systems. An accurate prediction of wind speed is more important for wind energy systems, but it is difficult due to its uncertain nature. This paper presents three artificial neural networks namely, Back Propagation Network (BPN), Radial Basis Function (RBF) and Nonlinear AutoRegressive model process with eXogenous inputs (NARX) with Mutual Information (MI) feature selection for wind speed prediction. The MI feature selection identifies the significant features and reduces the complexity of wind speed prediction model without loss of information content. The performance of prediction model is evaluated in terms of Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The results show that the performance of all three neural network models are highly satisfied. Moreover, NARX model with mutual information feature selection is more accurate in dealing with wind speed prediction.
more »
Solar Tilt Angle Optimization of PV Systems for Different Case Studies
Appears in:
ew 19(23): e7

Author:
Hasan N. Muslim

Downloads:
1257

Abstract:
The evolution of solar photovoltaic systems (PV) in the last decade has been marvellous around the world. This growing in using of PV technique hinge on the electrical load profile that required to be covered and the rate of the electricity that can be generated from the areas where the solar cells…The evolution of solar photovoltaic systems (PV) in the last decade has been marvellous around the world. This growing in using of PV technique hinge on the electrical load profile that required to be covered and the rate of the electricity that can be generated from the areas where the solar cells to be installed. The production of PV systems is based on the fuel which is represented by the solar radiation. In this study, an algorithm has been proposed to optimize the solar tilt angle based on MATLAB software (m-file) in order to maximize the PV generation. Monthly and annually optimal tilt angles are suggested for different case studies those are: Najaf, California and New Delhi. Also, the estimation of solar radiation for each month is calculated according to their optimal tilt angles. The obtained results indicate that the yearly gain of solar radiation from orientation solar panels is approximately 18% for Najaf city and a high gain values for winter months with very small energy gains for summery months, and so on for other case studies. This proposed algorithm is general program and can be applied for any site on the earth by changing the latitude and longitude of the desired area.
more »
Classification of Vehicle Types in Car Parks using Computer Vision Techniques
Appears in:
ew 15(7): e5

Authors:
Chadly Marouane, Lorenz Schauer, Philipp Bauer

Downloads:
976

Abstract:
The growing population of big cities has led to certain issues, such as overloaded car parks. Ubiquitous systems can help to increase the capacity through an efficient usage of existing parking slots. In this case, cars are recognized during the entrance phases in order to guide them automatically …The growing population of big cities has led to certain issues, such as overloaded car parks. Ubiquitous systems can help to increase the capacity through an efficient usage of existing parking slots. In this case, cars are recognized during the entrance phases in order to guide them automatically to a proper slot for space-saving reasons. Prior to this step, it is necessary to determine the size of vehicles. In this work, we analyze different methods for vehicle classification and size measurement using the existing hardware of car parks. Computer vision techniques are applied for extracting information out of video streams of existing security cameras. For streams with lower resolution, a method is introduced figuring out width and height of a car with the help of reference objects. For streams with a higher resolution, a second approach is applied using face recognition algorithms and a training database in order to classify car types. Our evaluation of a real-life scenario at a major German airport showed a small error deviation of just a few centimeters for the fist method. For the type classification approach, an applicable accuracy of over 80 percent with up to 100 percent in certain cases have been achieved. Given these results, the performed methods show high potentials for a suitable determination of vehicles based on installed security cameras.
more »
Green Communications: Techniques and Challenges
Appears in:
ew 17(14): e4

Authors:
Nabeel Ahmed Malik, Masood Ur-Rehman

Downloads:
935

Abstract:
Green technology has drawn a huge amount of attention with the development of the modern world. Similarly with the development in communication technology the industries and researchers are focusing to make this communication as green as possible. In cellular technology the evolution of 5G is the n…Green technology has drawn a huge amount of attention with the development of the modern world. Similarly with the development in communication technology the industries and researchers are focusing to make this communication as green as possible. In cellular technology the evolution of 5G is the next step to fulfil the user demands and it will be available to the users in 2020. This will increase the energy consumption by which will result in excess emission of co2. In this paper different techniques for the green communication technology and some challenges are discussed. These techniques include device-to-device communication (D2D), massive Multiple-Input Multiple-Output (MIMO) systems, heterogeneous networks (HetNets) and Green Internet of Things (IoT).
more »
MAC Layer Design for Network-Enabled Visible Light Communication Systems Compliant with IEEE 802.15.7
Appears in:
ew 17(14): e5

Authors:
Trio Adiono, Syifaul Fuada, Muhamad Luthfi, Rosmianto Aji Saputro

Downloads:
901

Abstract:
The design and implementation of medium access control (MAC) layer for network-enabled visible light communication (VLC) system is presented in this paper. The point-to-point link was chosen because of its simple in configuration as well as implementation. Whereas the FPGA Zybo Zynq-7000 is employe…The design and implementation of medium access control (MAC) layer for network-enabled visible light communication (VLC) system is presented in this paper. The point-to-point link was chosen because of its simple in configuration as well as implementation. Whereas the FPGA Zybo Zynq-7000 is employed for prototyping the hardware of VLC system because of it serve a Linux operating system (OS), i.e. Xillinux. Our MAC layer has been realized in Python programming and running above the Zynq-7000 processor. The designed MAC Layer is adapted from IEEE 802.15.7 standard, specifically for delivering and receiving the MAC frames from the coordinator to the device or vice versa, wrapping the IP packets and unwrapping the MAC Frames with MAC headers and trailers, and performing the error detection in which the cyclic redundant check 16 (CRC-16) was selected. According to the functionality test, our proposed VLC system can perform to send the multimedia contents (video and image) as well as data packet for internet accessing purpose like a wireless fidelity (Wi-Fi) connectivity. Thus, it can be concluded that the implemented MAC layer has met the functionality specifications referred to the IEEE 802.15.7 standard. We also provide the Pseudo-code of designed MAC layer and its Python script (source-code) implementation that can be found in the Appendix section.
more »
Real-Time Simulation Technique of a Microgrid Model for DER Penetration
Appears in:
ew 14(2): e2

Authors:
Konstantina Mentesidi, Evangelos Rikos, Vasilis Kleftakis

Downloads:
868

Abstract:
Comprehensive analysis of Distributed Energy Resources (DER) integration requires tools that provide computational power and flexibility. In this context, throughout this paper PHIL simulations are performed to emulate the energy management system of a real microgrid including a diesel synchronous …Comprehensive analysis of Distributed Energy Resources (DER) integration requires tools that provide computational power and flexibility. In this context, throughout this paper PHIL simulations are performed to emulate the energy management system of a real microgrid including a diesel synchronous machine and inverter-based sources. Moreover, conventional frequency and voltage droops were incorporated into the respective inverters. The results were verified at the real microgrid installation in the Centre for Renewable Energy Sources (CRES) premises. This research work is divided into two steps: A) Real time in RSCAD/RTDS and Power Hardware-in-the-Loop (PHIL) simulations where the diesel generator´s active power droop control is evaluated, the battery inverter´s droop curves are simulated and the load sharing for parallel operation of the system´s generation units is examined. B) microgrid experiments during which various tests were executed concerning the diesel generator and the battery inverters in order to examine their dynamic operation within the LV islanded power system.
more »
Consensus-based distributed control for economic dispatch problem with comprehensive constraints in a smart grid
Appears in:
ew 14(2): e3

Authors:
J. Cao, M. Yu, J. Tung

Downloads:
787

Abstract:
Economic dispatch problem (EDP) has become more complex and challenging in power systems due to the introduction of smart grids. In a smart grid, it’s expensive and unreliable for the existing centralized controller to achieve a minimum cost when generating a certain amount of power. In this work…Economic dispatch problem (EDP) has become more complex and challenging in power systems due to the introduction of
smart grids. In a smart grid, it’s expensive and unreliable for the existing centralized controller to achieve a minimum cost
when generating a certain amount of power. In this work, we define a quadratic cost function and comprehensive
constraints to improve the consensus algorithm. We propose a distributed control approach based on the improved
consensus algorithm to solve the EDP in a smart grid. Different from the centralized approach, the proposed approach
enables each generator to collect the mismatch between power demands and generations in a distributed manner. The
mismatch in power is used as a feedback for each generator to adjust its power generation. The incremental cost of the
generator is selected as the consensus quantity that converges to a common value eventually. Simulation results of
different case studies are provided to demonstrate the effectiveness of the proposed algorithm. The comparisons between
the proposed approach and the existing ones are also presented.
more »
Complex Systems Engineering: designing in sociotechnical systems for the energy transition
Appears in:
ew 17(11): e1

Authors:
J. A. Moncada, E. H. Park Lee, G.D.C. Nava Guerrero, O. Okur, S.T. Chakraborty, Z. Lukszo

Downloads:
770

Abstract:
The EU has set ambitious targets for an energy transition. While research often focuses on technology, institutions or actors, a transition requires complex coordination and comprehensive analysis and design. We propose a framework accounting for technology, institutions and actors’ perspective to …The EU has set ambitious targets for an energy transition. While research often focuses on technology, institutions or actors, a transition requires complex coordination and comprehensive analysis and design. We propose a framework accounting for technology, institutions and actors’ perspective to design in socio-technical systems. We present its application, firstly, to biodiesel production in Germany; secondly, to vehicle-to-grid contracts in a Car as a Power Plant microgrid. We show how using the framework as the core in modelling can contribute to the performance improvement of these systems. Future work will elaborate on the next generation of thermal energy systems, coordination control of microgrids and implementing flexibility through demand response aggregation. Overall, designing solutions to the problems described calls for comprehensive engineers who look beyond the technical design and deal with multi actor socio-political processes including institutional consideration.
more »

Publisher: EAI
ISSN: 2032-944X
Number of Volumes: 7

Last Published: 2020-07-01

EAI Endorsed Transactions on Energy Web

Ghazanfar Safdar1

Iosif Breido2

Ghazanfar Safdar¹

Iosif Breido²