EAI Endorsed Transactions on Energy Web

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/ew/index

Editor(s)-in-Chief: Ghazanfar Safdar and Albert Lam

Aims & Scope
Indexing
Editorial Board

EAI Endorsed Transactions on Energy Web is an open access, peer-reviewed scholarly journal focused on cross-section topics related to IT and Energy. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a bi-monthly frequency (six issues per year). Authors are not charged for article submission and processing.

Editors-in-Chief
Ghazanfar Safdar, University of Bedfordshire, UK
Albert Lam, University of Hong Kong, HK
Area Editors
Mikhail Medvedev (Southern Federal University, Russia)
Vladimir Dyo (University of Bedfordshire, UK)Andrey Mazalov (South Federal University, Russia)
Elena Gebel (Omsk State Technical University, Russia)
Irina Semykina (T. F. Gorbachev Kuzbass State Technical University, Russia)
Vyacheslav Potekhin (Peter the Great St. Petersburg Polytechnic University, Russia)
Sabu Thampi (Indian Institute of Information Technology and Management-Kerala (IIITM-K), India)
Baozhi Chen (Rutgers University, USA)
Manik Sharma (DAV University, India)
Amando P. Singun JR. (University of Technology and Applied Sciences, Muscat, Oman)
Irina Semykina (Sevastopol State University, Russia)
Chi-Hua Chen (Fuzhou University, China)
Vitor Monteiro (University of Minho, Portugal)
Joao L. Afonso (University of Minho, Portugal)
Abdul Shabeer (IBM India Pvt Ltd, Chennai, India)
Anandakumar H (Sri Eshwar College of Engineering, India)
Marta Chinnici (ENEA, Italy)
Howard NJOKU (University of Nigeria, Nigeria)
José Gabriel Oliveira Pinto (University of Minho, Portugal)
P Krishna (VIT University, India)
Jacinth Poornima (Hindusthan College of Engineering and Technology, India)
Karthikumar S (Anna University)
Duckki Lee (Yonam Institute of Technology, South Korea)
A. Hnatov (Kharkiv National Automobile and Highway University, Ukraine)
Dr. P. Karthikeyan (Jain University, India)

Recently Published
Most Popular

A Hybrid Framework for Visual Positioning: Combining Convolutional Neural Networks with Ontologies
Appears in:
ew 22(40): e6

Authors:
Abdolreza Mosaddegh, Sérgio Lopes, Habib Rostami, Ahmad Keshavarz, Sara Paiva

Published:
29th Dec 2022

Abstract:
Visual positioning is a new generation positioning technique which has been developed rapidly during recent years for many applications such as robotics, self-driving vehicles and positioning for visually impaired people due to advent of powerful image processing methods, especially Convolutional N…Visual positioning is a new generation positioning technique which has been developed rapidly during recent years for many applications such as robotics, self-driving vehicles and positioning for visually impaired people due to advent of powerful image processing methods, especially Convolutional Neural Networks. Nowadays, deep Convolutional Neural Networks are capable of classifying images with high accuracy rates; however, comparing visual perception by a human being, pure Neural Networks lack background knowledge which is essential for estimating the position through a reasoning process. In this paper we present a hybrid framework for employing ontologies over Convolutional Neural Networks to integrate a knowledge-based reasoning with Neural Networks for taking advantages of capabilities similar to human brain’s functions. The proposed framework is generic so it can be applied to a wide variety of scenarios in smart cities where visual positioning represents added value.
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Static Voltage Stability Assessment of Ethiopian power System Using Normalized Active Power Margin Index
Appears in:
ew 22(40): e5

Authors:
Ahadu Hilawie, Fekadu Shewarega

Published:
15th Dec 2022

Abstract:
Voltage stability assessments, made so far on the Ethiopian electric power system (EEP), are limited both in number and in methodology. Here, in this paper the static voltage stability of the Ethiopian power system is investigated using an index called normalized active power margin. The methodolog…Voltage stability assessments, made so far on the Ethiopian electric power system (EEP), are limited both in number and in methodology. Here, in this paper the static voltage stability of the Ethiopian power system is investigated using an index called normalized active power margin. The methodology starts from determining Thevenin equivalent of a system as viewed from the load buses. The Thevenin equivalent parameters help to determine the load bus maximum active power transfer limit and to draw the PV relation curves. The approach avoids the time-consuming method of PV curve based maximum active power transfer determination, which requires large number of power flow computations. The resulting maximum active power transfer and current operating active power load are used for the index calculation. The index is tested using IEEE 30 bus system and produced results matching with other previously established indices. The index is capable of ranking vulnerability of load buses to voltage instability. Then, scenarios of heavy load and light load EEP cases, with and without system reactive power compensation, are investigated. Results reveal weakest buses are supplied from 66kV transmission lines, load bus 232 being the weakest of all. On the other hand, the most stable buses are supplied from 132 kV transmission lines, bus 149 being the most stable bus. PV curves drawn, also, reveal the improvement that come with reactive power compensation and with operating in light load condition.
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Adaptive FPA Algorithm based OPF with Unified Power Flow Controller
Appears in:
ew 22(40): e4

Authors:
Immanuel A., Challa Babu, Sudheer P., Pavan Kumar Naidu R., Nageswara Rao Atyam

Published:
12th Oct 2022

Abstract:
In this work a novel modified flower pollination algorithm has been developed to solve the problem of single and multi-objective Optimal Power Flow operations for Unified power Flow Controller in Flexible Alternating Current Transmission Systems. In the proposed Adaptive Flower Pollination Algorith…In this work a novel modified flower pollination algorithm has been developed to solve the problem of single and multi-objective Optimal Power Flow operations for Unified power Flow Controller in Flexible Alternating Current Transmission Systems. In the proposed Adaptive Flower Pollination Algorithm the best initial solution can be chosen from the fittest and also the weights are adaptively adjusted to get better convergence characteristics. The nature of the objective functions is non-linear and difficult to get best possible solutions within the boundary conditions of total power demand. The weak nodes are determined in the system to locate the UPFC with Fuzzy approach considering input parameters as L-Index and voltage magnitudes. The projected method is validated using IEEE-30 and IEEE-57 bus systems for three objective functions, namely, system real power loss minimization, fuel cost minimization and the combination of total generating cost and system real power loss. Results of Fuzzy- Adaptive Flower Pollination Algorithm based OPF optimization for UPFC produced optimum results for the considered objectives of total fuel cost, real power loss and for the multiobjective.
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A Sustainability-focused Project-based Learning Experience for Engineering Undergraduates: Case Study of a Smart Greenhouse Project
Appears in:
ew 22(40): e3

Authors:
Rick Todd Kaske Jr, Brady Connaher, Mohammad Upal Mahfuz

Published:
27th Jul 2022

Abstract:
In this paper, a smart greenhouse project has been presented as an example of a sustainability-focused project-based learning experience for undergraduates. While project-based instruction and learning experience has already gained enough momentum in several fields of education, the inclusion of su…In this paper, a smart greenhouse project has been presented as an example of a sustainability-focused project-based learning experience for undergraduates. While project-based instruction and learning experience has already gained enough momentum in several fields of education, the inclusion of sustainability perspectives from the science and engineering fields of studies is yet to make its room in the current course curricula as well as in the mindset of new generations of engineering undergraduates. This smart greenhouse project is an example of how sustainability can be brought into a classroom setting of engineering and technology programs as a project-based learning experience. The objective of this smart greenhouse project is to create an automated system capable of growing vegetation with little human input by utilizing electricity, computer programming, and a microcontroller operation. While this project was implemented by a group of two students with electrical engineering technology (EET) major as parts of their Introduction to Programming (ET 142) and Supervisory Control and Data Acquisition (ET 342) courses requirements at the University of Wisconsin-Green Bay, Wisconsin, USA, a similar sustainability-focused project-based learning approach can also be applied successfully in other courses at different levels of engineering and technology programs at other academic institutions.
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Power Quality Improvement using Parallel Connected FACTS Device with Simplified d-q Control
Appears in:
ew 22(40): e2

Authors:
N. Rajesh, M. Venu Gopala Rao, R. Srinivasa Rao

Published:
25th Jul 2022

Abstract:
INTRODUCTION: Distribution network is mainly affected by the end user load nature. Ruinous influence on power system operation based on the type of load used by the end user and due to the presence of non-linear loads causes Harmonics in power system. The concept of reducing the harmful effect of h…INTRODUCTION: Distribution network is mainly affected by the end user load nature. Ruinous influence on power system operation based on the type of load used by the end user and due to the presence of non-linear loads causes Harmonics in power system. The concept of reducing the harmful effect of harmonics on power system attracted the research attentiveness.
OBJECTIVES: To reduce these harmonics and reactive power problems FACTS devices are found reliable. Out of various FACTS devices, Active Power Filter (APF) is one FACTS device which identifies and controls the harmonic contamination in power system with non-linear loads. This work mainly presents a parallel APF concept for the compensation of harmonics to improve the reliability of the system.
METHODS: The main contribution of this work is proposal of single control strategy for compensation of Power quality. Corrective back currents (for parallel APF) to compensate the identified harmonics are generated using modified d-q reference-based control methodology.
RESULTS: The models are developed, and analysis is presented using MATLAB/SIMULINK software
CONCLUSION: d-q reference theory control strategy is explained in detail. Load current, Source Voltage and DC link voltage which are measured using various sensors and send to processor. modified d-q reference the signals to be measured are same
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Sensors and Simulations for Transport Resilience
Appears in:
ew 22(40): e1

Authors:
M. Lacinák, J. Ristvej, M. Jánošíková

Published:
13th Jul 2022

Abstract:
With the aim of enhancing resilience, the need for method of its measurement arises. To apply the method, resilience indicators must be identified and collected. In this paper we deal with questions of acquisition of indicators, needed to assess resilience of the transport system of the city. More …With the aim of enhancing resilience, the need for method of its measurement arises. To apply the method, resilience indicators must be identified and collected. In this paper we deal with questions of acquisition of indicators, needed to assess resilience of the transport system of the city. More specifically, we will look at the sensors and simulation and their possibilities in this task. That is why the first part of the paper will start with introduction of the Laboratory of Simulation and Modelling of Crisis Phenomena in Transport, and of the simulation program VR®Forces, that we plan to use for application of this paper´s outcomes and for further research of resilience. In second part of this article, we will briefly guide the reader through our view on resilience with focus on transport system of the city. Next, we will move to identification of transport resilience indicators, that could be obtained by the use of sensors within the traffic network and its vehicles or devices, and also indicators, that we can obtain by the use of simulation. Identification of sensors, usable for this task will follow. Finally, the possible use of modelling and simulation in collection of resilience indicators will be explained.
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Linking Sustainable Mobility Criteria to Policymaking: Results of Multi-Criteria Analysis
Appears in:
ew 22(39): e7

Authors:
Alina Safronova, Aiga Barisa, Vladimirs Kirsanovs

Published:
21st Jun 2022

Abstract:
With increasing emissions from the transport sector, the need to reduce emissions is becoming increasingly acute. The EC's Climate Law aims to re-duce emissions by 55% by 2030, while the growing transport sector is the slowest to meet these targets. Only a few European Union (EU) countries met the …With increasing emissions from the transport sector, the need to reduce emissions is becoming increasingly acute. The EC's Climate Law aims to re-duce emissions by 55% by 2030, while the growing transport sector is the slowest to meet these targets. Only a few European Union (EU) countries met the 2020 renewable energy source target in the transport sector, which indicates that major changes are needed to meet the new EU requirements. As each country has limited financial resources, it is necessary to assess the impact of the policy before its implementation. In this study, a survey of 19 industry experts was conducted to identify the most promising policy in-struments for reducing emissions in the road transport sector, as well as to identify the most promising fuels for which more resources should be devoted. In this publication, data analysis was performed by the combined Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodology. The obtained data can be further used for in-depth analysis such as cost-benefit analysis or complex system dynamics analysis for later use in sustainable policy formulation.
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Task Scheduling Techniques for Energy Efficiency in the Cloud
Appears in:
ew 22(39): e6

Authors:
Sanna Mehraj Kak, Parul Agarwal, M. Afshar Alam

Published:
20th Jun 2022

Abstract:
Energy efficiency is a key goal in cloud datacentre since it saves money and complies with green computing standards. When energy efficiency is taken into account, task scheduling becomes much more complicated and crucial. Execution overhead and scalability are major concerns in current research on…Energy efficiency is a key goal in cloud datacentre since it saves money and complies with green computing standards. When energy efficiency is taken into account, task scheduling becomes much more complicated and crucial. Execution overhead and scalability are major concerns in current research on energy-efficient task scheduling. Machine learning has been widely utilized to solve the problem of energy-efficient task scheduling, however, it is usually used to anticipate resource usage rather than selecting the schedule. The bulk of machine learning approaches are used to anticipate resource consumption, and heuristic or metaheuristic algorithms utilize these predictions to choose which computer resource should be assigned to a certain activity. As per the knowledge and research, none of the algorithms have independently used machine learning to make an energy-efficient scheduling decision. Heuristic or meta-heuristic approaches, as well as approximation algorithms, are frequently used to solve NP-complete problems. In this paper, we discuss various studies that have been used to solve the problem of task scheduling which belongs to a class of NP-hard. We have proposed a model to achieve the objective of reduced energy consumption and CO2 emission in a cloud environment. In the future, the model shall be implemented in MATLAB and would be assessed on various parameters like makespan, execution time, resource utilization, QoS, Energy utilization, etc.
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Performance Optimization of Solar PV System Utilized for Cooling System
Appears in:
ew 22(39): e5

Authors:
Omar Hazem Mohammed, Ziyad Tariq Al-Salmany

Published:
8th Jun 2022

Abstract:
This work investigates the performance and energy effectiveness of a solar photovoltaic (PV) system used to provide a cooling system for a building in Iraq. To achieve the goal, simulations and optimization are utilized to find the economic feasibility of the building in Iraq. In addition, a compar…This work investigates the performance and energy effectiveness of a solar photovoltaic (PV) system used to provide a cooling system for a building in Iraq. To achieve the goal, simulations and optimization are utilized to find the economic feasibility of the building in Iraq. In addition, a comparative study is conducted to compare the economic feasibility of PV cooling based on two options. The first option depends on the conventional electrical grid to offer cooling for the Iraqi building. The second option relies on a solar PV system to provide the electrical power for cooling the same building. The major numerical analysis results revealed that using a PV system can save roughly 45% electrical power compared to the option when the electrical power is drawn from the conventional grid. For this reason, it is predicted that the PV system can save a higher level of greenhouse gas (GHG) emissions compared to the first option. The results of this research revealed that the cooling load of the building in Samawah, Iraq equalled 600 kW. The PV system required to operate the cooling of the Samawah building during summer equals 18 kW peak. Using a solar PV system would be more economically feasible than the electrical power drawn from the electrical grid. Utilizing PV cooling is considered beneficial for the environment
as it can save GHG emissions that cause significant air quality problems and global warming.
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Design of a low-cost wireless emission monitoring system for solid-fuel heat sources
Appears in:
ew 22(39): e4

Authors:
M. Holubčík, Jozef Jandačka, M. Nicolanská

Published:
3rd Jun 2022

Abstract:
INTRODUCTION: The study presents a conceptual and detailed design methodology overview of a wireless sensor network (WSN) aimed to evaluate the SmartCity air quality in real-time. The aim of the article is to provide low-cost, reliable, and accurate emission data at remote locations, assisting the …INTRODUCTION: The study presents a conceptual and detailed design methodology overview of a wireless sensor network (WSN) aimed to evaluate the SmartCity air quality in real-time. The aim of the article is to provide low-cost, reliable, and accurate emission data at remote locations, assisting the 2050 Climate-Neutral target set by the European Commission. The sensor devices shall monitor emission parameters such as ozone, carbon dioxide concentration and particle concentrations, specifically concentrations PM2,5 and PM10.
OBJECTIVES: The overall objective of the article is to demonstrate the use of a modern home-made air quality device within the market of boilers, fireplaces or other heating devices.
METHODS: The methodology consists of reverse engineering of used professional portable emission analyzers, determining the detailed parts, building a model of how the device's internal systems operate. The paper later explains a series of future experiments including the setup, the necessary components and specific aim. Two numerical models shall be constructed in MATLAB Simscape and Simulink, specifically a telecommunication model, assisting the design of the telecommunication module, and thermal numerical model, that aids in verifying the system temperature and cooling.
RESULTS: The study presents a large potential in increasing the accuracy and spectrum of modern air quality data and decreasing emission levels.
CONCLUSION: In the conclusion of the paper, the functional requirements of the data processing are stated, along with schematic illustration of the user interface of measured emissions.
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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:
6729

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.
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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:
2777

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.
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Improved Prediction of Wind Speed using Machine Learning
Appears in:
ew 19(23): e2

Author:
Senthil Kumar P

Downloads:
2463

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.
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Solar Tilt Angle Optimization of PV Systems for Different Case Studies
Appears in:
ew 19(23): e7

Author:
Hasan N. Muslim

Downloads:
2278

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.
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Design, Simulation and Economic Analysis of A Rooftop Solar PV System in Vietnam
Appears in:
ew 21(35): e11

Authors:
Thanh Ba Nguyen, Phuong Hoang Van

Downloads:
1910

Abstract:
Installing a grid-connected rooftop solar system for a household is an important issue; therefore, there are many factors that need to be considered before the installation is decided. The main factors to be noted are the total cost of the installation, the amount of electricity generated as well a…Installing a grid-connected rooftop solar system for a household is an important issue; therefore, there are many factors that need to be considered before the installation is decided. The main factors to be noted are the total cost of the installation, the amount of electricity generated as well as the government's support policies for the development of solar energy. This article presents the design, simulation and economic analysis of an 8.36kWp grid-connected rooftop solar power project for a household in Thu Dau Mot City, Vietnam. The study calculates the generated electricity, the efficiency of the Photovoltaic(PV) power system, the ability to reduce the amount of CO2 emitted into the environment and the economic indicators of the project. This research is useful for stakeholders investing in residential rooftop solar PV systems and Vietnam’s energy policymakers as well.
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Incident Management of Information Technology in the Indonesia Higher Education based on COBIT Framework: A Review
Appears in:
ew 19(22): e3

Author:
Syifaul Fuada

Downloads:
1867

Abstract:
Nowadays, implementing the IT management in Indonesia Higher Education (HE) has been an integral part of institution management and all business functions, starting from teaching & learning, academic information system, administration & payment system, registration of student’s admission and so on.…Nowadays, implementing the IT management in Indonesia Higher Education (HE) has been an integral part of institution management and all business functions, starting from teaching & learning, academic information system, administration & payment system, registration of student’s admission and so on. Handling incident response is an IT management and evaluation activity that must be done by the HE in Indonesia. Because, this activity is used to control the business sustainability and help perform attempts of betterment. To this matter, a standardized guideline is required so that the management of handling incidents in the HE environment can be performed effectively and efficiently. COBIT framework version 4 has four domains with 34 processes, while the version 5 has five domains with 37 processes. The process of handling incidents in COBIT 5 is discussed in the DSS02 process, namely Manage Service Request, and Incident of DSS domain. Meanwhile, COBIT 4 is discussed in the DS8 process, namely Manage Service Desk and Incidents. This paper reviews the status of management of handling IT incidents in Indonesia HE limited from 2010 to 2016.
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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:
1776

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.
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The Impact of the Blockchain on Academic Certificate Verification System-Review
Appears in:
ew 21(36): e11

Authors:
Kumutha K, S. Jayalakshmi

Downloads:
1761

Abstract:
Blockchain innovation (BT) guarantees benefits in believe capacity, collaboration, organization, identifying proof, validity, and transparency. These solid suggestions for the long run of how to verify the authenticity of academic certificates because a paper-based …Blockchain innovation (BT) guarantees benefits in believe capacity, collaboration, organization, identifying proof, validity, and transparency. These solid suggestions for the long run of how to verify the authenticity of academic certificates because a paper-based certification is fallible to manipulation and susceptible to fraud. This literature review started by collecting a test of basically peer-reviewed sources, as well as an enlightening outline of articles from different other channels to analyse about approximately later approaches, techniques and later patterns on instruction which is being utilized in blockchain innovation on document verification from different sector such as banking , medical records and education system etc. This paper proposes a digital certificate verification blockchain based system employing anowner authentication scheme and time, space of the students are stored as blocks using blockchain technology. A distributed public record with tamper proof and immutable that preserves the state of the document, which creates security in the digital asset. This clearly stated that this technology is required to keep digital assets in secure and any one can access without loss of data and maintained it with minimum cost.
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A Three-Level Ransomware Detection and Prevention Mechanism
Appears in:
ew 20(26): e6

Authors:
Amos Loh Yee Ren, Chong Tze Liang, Im Jun Hyug, Sarfraz Nawaz Broh, NZ Jhanjhi

Downloads:
1622

Abstract:
Ransomware encrypts victim’s files or locks users out of the system. Victims will have to pay the attacker a ransom to decrypt and regain access to the user files. Petya targets individuals and companies through email attachments and download links. NotPetya has worm-like capabilities and exploits …Ransomware encrypts victim’s files or locks users out of the system. Victims will have to pay the attacker a ransom to decrypt and regain access to the user files. Petya targets individuals and companies through email attachments and download links. NotPetya has worm-like capabilities and exploits EternalBlue and EternalRomance vulnerabilities. Protection methods include vaccination, applying patches, et cetera. Challenges faced to combat ransomware include
social engineering, outdated infrastructures, technological advancements, backup issues, and conflicts of standards. ThreeLevel Security (3LS) is a solution to ransomware that utilizes virtual machines along with browser extensions to perform a
scan, on any files that the user wishes to download from the Internet. The downloaded files would be sent over a cloud server relay to a virtual machine by a browser extension. Any changes to the virtual machine after downloading the file would be observed, and if there were a malfunction in the virtual machine, the file would not be retrieved to the user’s system.
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Green Communications: Techniques and Challenges
Appears in:
ew 17(14): e4

Authors:
Nabeel Ahmed Malik, Masood Ur-Rehman

Downloads:
1585

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 »

Publisher: EAI
ISSN: 2032-944X
Number of Volumes: 9

Last Published: 2022-12-29