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

Analysis of Artificial Intelligence Design Incorporated into Design of Street Space in Small Cities
Appears in:
ew 23(1):

Author:
Lei Song

Published:
24th Oct 2024

Abstract:
INTRODUCTION: At present, China's urbanization continues to develop, but the level of urban planning and design has not kept pace with the progress of development, especially the creation of street space in small cities, which is still not able to adapt to the current needs of people's cultural lif…INTRODUCTION: At present, China's urbanization continues to develop, but the level of urban planning and design has not kept pace with the progress of development, especially the creation of street space in small cities, which is still not able to adapt to the current needs of people's cultural life. With the development of the economy and science and technology, artificial intelligence and other information technologies are constantly integrated into daily life. Therefore, utilizing artificial intelligence for street space design research is significant.
OBJECTIVES: To improve the development level of artificial intelligence, information technology, and the application level of artificial intelligence in China; to solve the problem of the relatively low level of street space design in the current city, especially in small towns, to meet the needs of people's cultural life; to promote the improvement of the level of artificial intelligence in China for the convenience of civil life, and to further improve the level of street space design in China.
METHODS: Firstly discusses the theories, such as the principles of street space design in small cities, to illustrate the necessity of integrating AI into street space design in small towns; secondly, the model established by AI is used to optimize the street space in small cities; finally, the feasibility of integrating AI design into street space design in small towns is illustrated through cases and examples.
RESULTS: Street space design in small cities in China needs more design aesthetics, and artificial intelligence needs to be integrated into street space design. Artificial intelligence has a noticeable optimization effect on street space design, and using artificial intelligence can improve the design level of limited space. Also illustrates that artificial intelligence can be better integrated into the street space design of small cities through cases.
CONCLUSION: In the context of the digital era, the street space design of small cities needs to apply artificial intelligence. In modernization-oriented urban construction, the street space design level of small towns should be further strengthened to improve the modernization level of cities.
more »
A Short Literature on Linear Programming Problem
Appears in:
ew 23(1):

Authors:
Shubham Kumar Tripathi, R. Kumar

Published:
30th Nov 2023

Abstract:
Researchers and scientists have developed various approaches and methodologies over time to model and analyze different types of linear programming problems, such as assignment problems and parametric programming problems. This paper provides a critical review and classification of existing modelli…Researchers and scientists have developed various approaches and methodologies over time to model and analyze different types of linear programming problems, such as assignment problems and parametric programming problems. This paper provides a critical review and classification of existing modelling approaches and solution methods related to linear programming problems. Moreover, the simplex method is discussed in detail through a comprehensive literature review. The paper concludes by presenting an integrated research framework that is directly applicable to the present context, along with suggestions for future research directions.
more »
Assessment of Road Condition: Traffic Safety Requirement
Appears in:
ew 23(1):

Authors:
D. Sanjeeva Rao, M. Srinivasa Rao, V.V.S. Kesava Rao

Published:
24th Nov 2023

Abstract:
Road deaths and injuries highly affect the lives of people worldwide. road injuries and deaths happen due to improper driving, unfit motor vehicles, traffic laws disobeying persons and poor road condition. An effort is made here to assess the factors of poor road conditions which can be improved by…Road deaths and injuries highly affect the lives of people worldwide. road injuries and deaths happen due to improper driving, unfit motor vehicles, traffic laws disobeying persons and poor road condition. An effort is made here to assess the factors of poor road conditions which can be improved by prioritizing. Multi criteria technique is applied to prioritize the factors. Ann technique is adopted to assess the road condition. The methodology suggested can be used to determine the level of contribution of parameters towards safety hazard. Accordingly, appropriate mitigation measures may be adopted. A further detailed study needs to be conducted on a large scale by carrying out sensitivity analysis to test the stability of the ranking obtained by the suggested methods.
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Automated System for forecasting and capacity management in BPO
Appears in:
ew 23(1):

Authors:
Anuraag Anand, JB Simha, Shinu Abhi

Published:
23rd Nov 2023

Abstract:
In the virtual world, every decision made by executives today need forecasting. Sound forecasting of demand and variations are no longer an extravagance but a necessity, since Operations in the organizations have to deal with the seasonality, sudden changes in capacity management, cost-cutting stra…In the virtual world, every decision made by executives today need forecasting. Sound forecasting of demand and variations are no longer an extravagance but a necessity, since Operations in the organizations have to deal with the seasonality, sudden changes in capacity management, cost-cutting strategies of the competition, and enormous dynamics of the economy.
This paper details the development of a Forecasting and Capacity Planning model to empower operations to consistently forecast incoming volume for scheduling/rostering. A combination of past process-specific data, algorithmic forecasting, Subject Matter Expert (SME) inputs, and modelling results in a forecast with a daily accuracy of up to 85% per month out and approximately 95%-98% per week. The tool leverages the generated forecast to envisage capacity and resource planning. This Capacity Planning tool gives the capacity requirement for the forecasted volume, scheduling, and staffing. The tool has been deployed across 150+ client area. POC (Proof of Concepts) was done across all domains to test the tool and as expected the tools is generating the forecast and schedule with the accuracy of 96.77%.
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Monitoring and analysis of carbon monoxide and methane using Sensors and Remotely Piloted Aircraft Systems
Appears in:
ew 23(1):

Authors:
Luis Alberto Holgado-Apaza, Edgar Julian-Laime, Justo Bautista Baca, Ralph Miranda Castillo, Jaime Cesar Prieto-Luna, Pedro Córdova-Mendoza, Norberto Sixto Miranda Zea, Miguel Valles-Coral

Published:
22nd Nov 2023

Abstract:
INTRODUCTION: Air pollution in urban areas becomes a severe challenge to global health; exposure to polluting gases can lead to different diseases and even human mortality. In this sense, monitoring the concentration of polluting gases such as carbon monoxide and methane is important. OBJECTIVES: …INTRODUCTION: Air pollution in urban areas becomes a severe challenge to global health; exposure to polluting gases can lead to different diseases and even human mortality. In this sense, monitoring the concentration of polluting gases such as carbon monoxide and methane is important.
OBJECTIVES: This document focuses on developing a Remotely Piloted Aircraft System (RPAS) to monitor the concentration of carbon monoxide and methane at different altitudes.
METHODS: This includes a Parrot AR Drone 2.0, where the measurement prototype was mounted. The data was transmitted and reception at a ground control station through an application programmed in LabVIEW 15.0.
RESULTS: The experimental measurements showed that the concentration of carbon monoxide remains almost unchanged regardless of variations in altitude. In contrast, methane concentration reduces linearly with the increase in height with respect to ground level in Puerto Maldonado.
CONCLUSION: We implemented an RPAS to monitor in real time, record data in a control station and analyze the concentration of carbon monoxide and methane in the South Eastern Peruvian Amazon.
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Informational Interventions in Environmental Behavior of Rural Residents: Example of Waste Separation and Water Quality Enhancement
Appears in:
ew 23(1):

Authors:
Jianming Cai, Hong Ling, Chao Yang, Jianfeng Gu

Published:
22nd Nov 2023

Abstract:
INTRODUCTION: The ongoing progress in China's rural revitalization and precision poverty alleviation has led to the gradual implementation of environmental improvement initiatives for rural residents. As a result, rural residents' environmental behavior is now being influenced by informatization in…INTRODUCTION: The ongoing progress in China's rural revitalization and precision poverty alleviation has led to the gradual implementation of environmental improvement initiatives for rural residents. As a result, rural residents' environmental behavior is now being influenced by informatization interventions. With the deepening of these interventions, various environmental behaviors have emerged. Therefore, it is crucial to study the impact of informatization interventions on rural residents' ecological behavior, focusing specifically on garbage classification and water quality enhancement.
OBJECTIVES: To improve the level of China's rural habitat improvement, to improve the mechanism of informatization intervention in the environmental behavior of rural residents; to solve the problem of garbage classification and water quality improvement in the environment of rural residents under the background of informatization intervention, and to improve the level of modernization of China's agriculture and rural areas.
METHODS: First, using the theory of informatization intervention to establish a model of informatization intervention in the environmental behavior of rural residents; secondly, using the questionnaire method to investigate and analyze the ecological behavior of rural residents under the background of informatization intervention in the case townships; finally, using the model to analyze the results of the survey and establish the relevant principles of environmental improvement under the background of informatization intervention.
RESULTS: Under the background of informatization intervention, there is a significant improvement in the environmental behavior of rural residents, and the efficiency of garbage classification is significantly improved compared with the traditional model; the application of informatization intervention has dramatically improved the efficiency of environmental remediation in the case townships, and the informatization intervention can also play a significant role in the improvement of water quality.
CONCLUSION: In the continuous process of rural revitalization and precise poverty alleviation work, to strengthen the informatization intervention of rural residents' environment and comprehensively improve the quality level of rural habitat environment, it is crucial to carry out from various aspects and construct informatization.
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Analysis of Factors Influencing Successful Implementation of ODA Projects for Rural Development: The Case of Kyrgyzstan
Appears in:
ew 23(1):

Authors:
Young-Chool Choi, Yanghoon Song, Ki Seo Kong, Ahyoun Lee

Published:
14th Nov 2023

Abstract:
This paper aims to identify factors that influence the successful implementation of ODA rural development projects for developing countries. To this end, it has analysed the implementation process of a project, ‘The Integrated Rural Development Project in Kyrgyz Republic’, currently being carried o…This paper aims to identify factors that influence the successful implementation of ODA rural development projects for developing countries. To this end, it has analysed the implementation process of a project, ‘The Integrated Rural Development Project in Kyrgyz Republic’, currently being carried out in Kyrgyzstan via Good Neighbors International (GNI) with support from KOICA (Korean International Cooperation Agency). The analysis method employed in this study is decision tree analysis. By means of a review of previous studies on the implementation of ODA projects, variables that are believed to have an impact on the successful implementation of ODA rural development projects were derived. The values of each variable for thirty villages in Kyrgyzstan were derived and used as independent variables, and decision tree analysis was performed using the overall execution performance score for each village as the dependent variable. As a result, it was found that co-operation between field managers active at the project site and village residents was the most important determining factor of success.
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Empirical Study on Influencing Factors of Rural Environmental Behavior in Informatization
Appears in:
ew 23(1):

Authors:
Jianming Cai, Hong Ling, Chao Yang, Jianfeng Gu

Published:
31st Oct 2023

Abstract:
INTRODUCTION: With the advent of the information technology era, rural areas face new environmental protection challenges and opportunities. The rapid development of information technology provides new possibilities for changes in rural ecological behavior. However, understanding the influencing fa…INTRODUCTION: With the advent of the information technology era, rural areas face new environmental protection challenges and opportunities. The rapid development of information technology provides new possibilities for changes in rural ecological behavior. However, understanding the influencing factors of rural environmental behavior in the context of information technology remains an important research topic.
OBJECTIVES: This study aims to reveal the influencing factors of rural environmental behavior in the context of information technology to help governments and policymakers develop effective environmental protection strategies. Specifically, the researchers will focus on the extent to which factors such as education level, ecological awareness, economic status, and social participation influence the environmental behavior of rural residents.
METHODS: A questionnaire survey was used in this study, and residents of a particular rural area were selected as the research subjects. A questionnaire containing questions on education level, environmental awareness, economic status, social participation, and environmental behavior was designed, and a large amount of data was collected through random sampling. Statistical analysis methods, such as regression and correlation analyses, were used to process and interpret the data.
RESULTS: The study's results showed that the education level significantly affected the environmental behavior of rural residents. Residents with higher levels of education were more inclined to take positive ecological protection actions such as waste separation and energy conservation. In addition, environmental awareness was also found to be closely related to environmental behavior, with residents with higher ecological awareness being more concerned about environmental protection and taking action accordingly. Economic status and social participation affected rural residents' environmental behavior to a certain extent but to a lesser extent than education level and ecological awareness.
CONCLUSION: Rural environmental behavior in the context of informatization is affected by a combination of factors. To promote rural ecological protection, the government should strengthen investment in education and improve rural residents' education level and environmental awareness. In addition, social organizations and public participation should also be supported to encourage rural residents to actively participate in environmental protection actions. These measures will help to promote a change in ecological behavior in rural areas and achieve the goal of sustainable development.
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Classification and Analysis of Soil Types using Bayesian Models for the Crop Agronomy
Appears in:
ew 23(1):

Authors:
A. Zakiuddin Ahmed, T. Abdul Razak

Published:
30th Oct 2023

Abstract:
The core objective of this research paper is to classify soil a particular region and also perform the scientific study for the prediction of suitable crops, which will yield more profit to the agronomist. The production of agriculture is mainly depends on soil type, cultivation seasons (climate),…The core objective of this research paper is to classify soil a particular region and also perform the scientific study for the prediction of suitable crops, which will yield more profit to the agronomist. The production of agriculture is mainly depends on soil type, cultivation seasons (climate), irrigation method (such as surface, sprinkler, drip/trickle, subsurface etc) and fertilizers (to increase the crop productivity). Soil is classified based on its physical properties (color, texture, structure, porosity, density etc) and chemical properties (phosphorous, nitrogen, carbon, calcium, magnesium, sodium, pH, potassium, sulfur etc). In this research paper soil types are classified by applying Bayesian models to decision tree algorithm and performed various analysis to verify that soil types are correctly classified and as wells to predict suitable crop cultivation during Kharif (monsoon), Rabi (winter) and Zaid (summer) seasons along with suitable irrigation methods and proper use of fertilizers to increase the crop productivity. The proposed algorithm offers unique features by adopting other tree inducers which produce optimum results even though the conditions are leads to chaotic behavior. The final results obtained are presented which illustrates optimum results and generates best decision tree for classification of soil type from the soil dataset. The Bayesian approach guarantees that the classifications of soil types are more accurate than the existing Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Decision Tree (DT) algorithms.
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Perception on Investing in Stocks With ESG Relevance: A Descriptive View on Influence of Key Demographic Variables and Risk Profiling of Investors
Appears in:
ew 23(1):

Authors:
R Satish, S Saravanan, N. V. Ramachandran

Published:
30th Oct 2023

Abstract:
INTRODUCTION: To be purposeful beyond the return consideration by the way of giving importance to environment, society and governance of company through investing in companies that give priority to aforementioned factors by investors and their perception towards ESG is the crux of this research pap…INTRODUCTION: To be purposeful beyond the return consideration by the way of giving importance to environment, society and governance of company through investing in companies that give priority to aforementioned factors by investors and their perception towards ESG is the crux of this research paper. For this several factors that measures the environment, social and governance are itemized and considered as the dependent variable.
OBJECTIVES: To know whether the influences of the three risk-acceptance levels on environment, social and governance factors were different based on selected demographic variables
METHODS: Some of the key demographic variables like Age range, Annual income and Employment status are taken as independent variables with another key variable the tolerance towards risk of the investors. The individual and interactive effect of the demographic variable along with the key variable (risk tolerance) in manipulating the effects over the dependent variables (ESG) in the key concept of discussion in this research. The research was conducted through a structured questionnaire among the investors in Chennai region of Tamilnadu (India). Data was analyzed through SPSS and the tool used to explain the purpose of the research was MANOVA.
RESULTS: All the three demographic variables considered in the research had a significant influence over the risk tolerance of the investors in manipulating the considerations over the ESG factors.
CONCLUSION: All the three demographic variables considered in the research had a significant influence over the risk tolerance of the investors in manipulating the considerations over the ESG factors.
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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:
9079

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:
3315

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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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:
2940

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

Authors:
Kumutha K, S. Jayalakshmi

Downloads:
2711

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

Author:
Senthil Kumar P

Downloads:
2674

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:
2557

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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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:
2385

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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Mathematical Modeling and Kinematic analysis of 3-RRR Planar Parallel Manipulator
Appears in:
ew 21(35): e9

Authors:
Shaik Himam Saheb, G. Satish Babu

Downloads:
2304

Abstract:
Parallel mechanisms are found as positioning platforms in several robot manipulator applications tool manufacturing applications. Today, various types of these mechanisms are classified based on the structure, type of joints, and degree of freedom. An important and basic planar …Parallel mechanisms are found as positioning platforms in several robot manipulator applications tool manufacturing applications. Today, various types of these mechanisms are classified based on the structure, type of joints, and degree of freedom. An important and basic planar mechanism providing three degrees of freedom at the end-effector (movable platform) is a 3-RRR linkage. The forward kinematics in parallel mechanisms is a multi-solution problem and involves cumbersome calculations compared to inverse kinematics. With forward kinematics, the input kinematic parameters for any manipulator are known, and the end effector coordinate must be determined. The kinematic equations are generated with mechanics principles, and Jacobian matrices are formulated, With the Jacobian matrix, the regular workspace and dexterous workspace analysis calculated. The main objective is to fabricate a model of this planar manipulation mechanism with calculated dimensions and observe the practical workspace and dexterous workspace available at the end effector. The practical workspace and calculated workspace is presented in this paper. This final output data is useful for manipulator designers to design manipulators for different applications. In addition to this, the stress analysis is performed with Ansys software’s help to estimate the moving platform’s failure zone.
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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:
2252

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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Detection of Potholes on Roads using a Drone
Appears in:
ew 22(38): e4

Authors:
HemaMalini B.H, Akshay Padesur, Manoj Kumar V, Atish Shet

Downloads:
2195

Abstract:
Locating potholes and repairing them is essential, but it has always been a time consuming task for the authorities. This paper presents a way that can help the authorities speed up the pothole detection process by the use of a camera-enabled Unmanned Aerial Veh…Locating potholes and repairing them is essential, but it has always been a time consuming task for the authorities. This paper presents a way that can help the authorities speed up the pothole detection process by the use of a camera-enabled Unmanned Aerial Vehicle drone. The system is further enabled with a geo-tag and reports the presence of a pothole to the central database which is accessible by the relevant authorities and the common road users. The potholes are located on an
open-source map, through which the users using the road can take caution. This increases public safety and helps the concerned authorities take action faster. The model is trained with YOLOv3 algorithm to even detect potholes filled with water, and distinguish potholes from dark road patches, and etc. The results show good accuracy of 85% in detecting the potholes with a low false-negative and false-positive rate.
more »

Publisher: EAI
ISSN: 2032-944X
Number of Volumes: 10

Last Published: 2023-06-22