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2nd IEEE KhPI Week on Advanced Technology, KhPI Week 2021

作者： Zakovorotniy, Alexander Kharchenko, Artem National Technical University Kharkiv Polytechnic Institute Computer Engineering and Programming Department Kharkiv Ukraine

ISBN: (纸本)9781665412056

Interval type-2 fuzzy sets are often used in the designing of fuzzy systems associated with the speed control under uncertainty. In this paper, we consider the possibilities of using interval type-2 fuzzy sets to describing the uncertainties that arise when defining input variables. These uncertainties can be presented as the different meanings on the same dynamic system or changes in the technical parameters that occur due to external factors. We also present complex interval type-2 fuzzy sets and give the examples of their use to reduce the number of fuzzy sets and rules in a fuzzy knowledge base. The necessary conditions for the construction of complex interval type-2 fuzzy sets and methods for determining lower and upper membership functions in them are also given. The footprint of uncertainty for the complex interval type-2 fuzzy set is presented with upper and lower membership functions of different fuzzy sets. All methods which are described in this work can be used in decision support systems design, to select the optimal parameters of a nonlinear system, or in fuzzy speed controller design. © 2021 IEEE.

关键词： Fuzzy control

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Design of Intelligent Decision Support System With Ensembled Machine Learning to Predict Students' Performance

Design of Intelligent Decision Support System With Ensembled...

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2024 International Conference on Communication, computer Sciences and engineering, IC3SE 2024

作者： Deepan, S. Rajendran, Dineshkumar Dhaliwal, Navdeep Praveena, K. Lourens, Melanie Anandhi, R.J. School Of Cs & Ai Sr University Telangana Warangal India School Of Computing And Innovative Technologies British University Computer Games Design And Programming Viet Nam Lovely Professional University Phagwara India Institute Of Aeronautical Engineering Dundigal Hyderabad India Durban University Of Technology Faculty Of Management Sciences South Africa New Horizon College Of Engineering Department Of Information Science Engineering Bangalore India

ISBN: (纸本)9798350366846

Evaluating student performance is important for universities and institutions in the current student education landscape because it helps them create models that work better for students. The automation of various features related to fundamental student traits and behaviours that manage massive amounts of data efficiently processes these. To handle student records that included information about students' behaviour and how it related to their academic performance, the companies employed models of classification with mining concepts. Additionally, the quality of result classification can be substantially improved by using learning analytics and Educational Data Mining (EDM). The educational establishments are making an effort to lower the low student performance. To address this issue, numerous methods for assessing student performance have been devised, allowing the relevant faculties to intervene and enhance the final product. Three classes - Low Performance Student, Average Student, and Smart Student - were created using the K-Mean Clustering methodology for classifying student records. Features including grade point, number of deficits, student attendance, medium of education, and board of education are taken into account when classifying the data. In this case, the WEKA tool is also utilized for implementing the model and outcome assessments. © 2024 IEEE.

关键词： Decision support systems

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An Experiment to Evaluate IoT Application Security Scheme (IoTGazePass)

An Experiment to Evaluate IoT Application Security Scheme (I...

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2022 International Conference on engineering and MIS, ICEMIS 2022

作者： Keshlaf, Ayad A. Alfard, Faheemah M. Bouzid, Omar M. Sabratha University Faculty of Engineering Computer Eng. and It Department Sabratha Libya Libyan Center for Electronic Systems Programming and Aviation Research University of Zawia Computer Department Faculty of Engineering Zawia Libya University of Gharyan Faculty of Engineering Elec. and Electronic Eng. Dept Gharyan Libya

ISBN: (数字)9781665454360

ISBN: (纸本)9781665454360

IoTGazePass is a new password scheme that has been designed to tackle the weaknesses of existing types of passwords. It is intended to be suitable for IoT applications. An experiment was conducted to evaluate the strengths and weaknesses of the IoTGazePass scheme (e.g., security, usability and memorability). The evaluation aspects include a comparison with traditional textual and graphical based passwords in terms of memorability and security of the passwords. The results of the evaluation indicate that the IoTGazePass scheme is easy to use, memorable and flexible, as it can generate strong, secure and scalable passwords. The experiment results have also showed that the IoTGazePass scheme have good ability to deal with shoulder surfing attacks. In fact, the experiment results lead to some recommendations and suggestions to improve the planned performance. © 2022 IEEE.

关键词： Authentication

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Design of a Stereo Camera-based Perception System: A Comparative Analysis

Design of a Stereo Camera-based Perception System: A Compara...

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International Workshop on Research and Education in Mechatronics (REM)

作者： Kaushiknarayanan Chandrasekaran Samer Telawi Josef Börscök Masters student in Functional Safety Engineering University of Kassel Kassel Germany Institute for Computer Architecture and System Programming University of Kassel Kassel Germany

ISBN: (数字)9798331505974

ISBN: (纸本)9798331505981

The Formula Student Driverless discipline is a race car competition for university students competing with self-constructed autonomous vehicle to race in the tracks without the help of human race car drivers. This paper aims to investigate the development of the perception system using computer vision technique in different frameworks for the Herkules Racing Team (HRT) which is the Formula Student team of the University of Kassel.

关键词： Surveys computer vision Mechatronics Software packages Education Full stack Automobiles MATLAB Python Vehicles

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Migrating Birds Optimization-Based Feature Selection for Text Classification

arXiv

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arXiv 2024年

作者： Kaya, Cem Kilimci, Zeynep Hilal Uysal, Mitat Kaya, Murat Dogus University Turkey Department of Information Systems Engineering Kocaeli University Turkey Department of Software Engineering Dogus University Turkey Department of Computer Programming Acibadem University Turkey

This research introduces a novel approach, MBO-NB, that leverages Migrating Birds Optimization (MBO) coupled with Naive Bayes as an internal classifier to address feature selection challenges in text classification having large number of features. Focusing on computational efficiency, we preprocess raw data using the Information Gain algorithm, strategically reducing the feature count from an average of 62221 to 2089. Our experiments demonstrate MBO-NB's superior effectiveness in feature reduction compared to other existing techniques, emphasizing an increased classification accuracy. The successful integration of Naive Bayes within MBO presents a well-rounded solution. In individual comparisons with Particle Swarm Optimization (PSO), MBO-NB consistently outperforms by an average of 6.9% across four setups. This research offers valuable insights into enhancing feature selection methods, providing a scalable and effective solution for text classification. © 2024, CC BY-NC-ND.

关键词： Feature Selection

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Simulation Model of Data Consistency Protocol for Multicloud Systems 3

Simulation Model of Data Consistency Protocol for Multicloud...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Kozina, Olha Kozin, Mykyta National Technical University 'Kharkiv Polytechnic Institute' Department of Computer Engineering and Programming Kharkiv Ukraine Kharkiv Nation University of Radio Electronics Department of Information Control System Kharkiv Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

The development of multi-cloud systems with an acceptable level of service delays that significantly affect the quality of the end-users experience is an open research problem, for which simulation is successfully used. This paper proposes a simulation model in Matlab for estimating the time to write data updates initiated by the end-users to the databases of all cloud service providers for a multi-cloud system with a geo-distributed middleware that implements, as an example, the VIP-grab data consistency protocol. The simulation results indicate that our model can be useful in choosing a data consistency protocol that influences the architecture of a multicloud system. © 2022 IEEE.

关键词： MATLAB

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Features of the distribution of computing resources in cloud systems 3

Features of the distribution of computing resources in cloud...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Petrovska, Inna Kuchuk, Heorhii Mozhaiev, Mykhailo National Technical University 'Kharkiv Polytechnic Institute' Department of Computer Engineering and Programming Kharkiv Ukraine Computer Technology and Telecommunications Researches Sector National Scientific Center «hon. Prof Bokarius Forensic Science Institute» Kharkiv Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

The report considers the peculiarities of the distribution of computing resources in cloud systems. The most used classification of existing technologies of cloud services is considered. The advantages and disadvantages of such technologies are analyzed. The characteristic features of cloud computing that will need to be taken into account when allocating resources have been identified. IAAS technology has been shown to be most vulnerable to suboptimal resource allocation or reallocation. An expanded set of indicators for IAAS technology has been identified, including time-varying ones that need to be considered in resource allocation. Solving this problem will increase the efficiency of the use of cloud computing resources in general, increase application productivity and reduce the cost of infrastructure and its maintenance. © 2022 IEEE.

关键词： Resource allocation

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Design and Implementation of an EMG-based System for Monitoring and Help Request

Design and Implementation of an EMG-based System for Monitor...

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2022 International Conference on Smart Systems and Power Management, IC2SPM 2022

作者： Zeine, Carla Daou, Roy Abi Zeid Telawi, Samer Boercsoek, Josef Hayek, Ali Haidar, Gaby Abou University of Kassel Faculty of Electrical Engineering /Computer Science Department of Computer Architecture and System Programming Kassel Germany Lebanese German University Faculty of Public Health Jounieh Department of Computer Architecture and System Programming Biomedical Technologies Department Jounieh Lebanon Université la Sagesse Faculty of Engineering Furn El Chebbak Mechatronics Department Beirut Lebanon University of Applied Science Hamm-Lippstadt Department Lippstadt 2 Hardware Engineering Marker Allee 76-78 Hamm59063 Germany American University of Science and Technology Faculty of Engineering Zahle Lebanon

ISBN: (数字)9781665452915

ISBN: (纸本)9781665452915

Integrating electrophysiological signals in larger systems is getting wider due to the fact that such modalities facilitate the daily tasks of users. However, the high cost of monitoring systems (e.g., oscilloscopes) limits the testing and analysis of the acquired signal from such noisy systems (i. e., electrophysiological devices). The proposed system is a part of a larger proj ect that deals with the identification of sign language movements through the use of Muscle-computer Interfaces. On one hand, the user is able to display the signal acquired by the electrodes on an LCD screen. On the other hand, the system helps a mute patient to issue a special message to his surrounding environment that does not know the sign language to ask for help. The second feature is not unique, as it can be replaced by any other application based on the user's needs. The system was tested on several persons, and the results are promising. © 2022 IEEE.

关键词： Liquid crystal displays

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Advanced IOT Traffic Light Control System 5

Advanced IOT Traffic Light Control System

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5th International Conference on Advances in Computational Tools for engineering Applications, ACTEA 2023

作者： Hamad, Martin Abou El Hajj, Antonio Daou, Roy Abi Zeid Hayek, Ali Haidar, Gaby Abou Lebanese German University Faculty of Public Health Biomedical Technologies Department Lebanon MART Learning Education and Research Center Lebanon University of Kassel Department of Computer Architecture and System Programming Kassel Germany American University of Science and Technology Engineering Faculty Zahle Lebanon

ISBN: (纸本)9798350309959

For several years, traffic congestion has been a major problem in big cities where the number of cars and different means of transportation has been increasing significantly. The problem of congestion is becoming more and more critical, and if not treated smartly this issue will negatively affect drivers by wasting time and fuel gas while waiting for hours in lanes. This paper presents a new and smart way to mitigate this issue in an affordable cost, minimum processing power, and low power consumption. This concept takes into consideration the majority of the cases that may cause congestion and presents a smart and accurate outputs to ease traffic flow leading to the prediction of the peak hours of traffic congestion for smarter control. A model is designed to study the case of a four lanes crossroad with two traffic lights and two LCD monitors. The strategy in reading data is divided into two parts: real data from sensors and pre collected data from google maps to create a kind of a predicted pattern over a certain time interval. The responsiveness of the system is analyzed thoroughly, and the accuracy of all possible cases is carefully considered and evaluated. Each part of the system was tested alone, and the overall system is still in an ongoing testing phase. The results have shown minimum faulty errors and accepted outputs that can lead to safe traffic control decisions. Finally, integrating more IoT devices and sensors between V2V, V2P, V2I with the help of artificial intelligence will definitely optimize this system with higher accuracy. © 2023 IEEE.

关键词： Traffic congestion

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Statistical Analysis of Capacity Loss for Stored Batteries 15

Statistical Analysis of Capacity Loss for Stored Batteries

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15th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2023

作者： Constantinescu, Luminita-Mirela Enache, Bogdan-Adrian Dogaru, Violeta-Georgiana Voicila, Teodor Iulian Vilciu, Irina Vasile, Silvia-Carmen University of Pitesti Electronics Computer and Electrical Engineering Department Pitesti Romania University Politehnica of Bucharest Measurements Electrical Apparatus and Static Converters Department Bucharest Romania University Politehnica of Bucharest Electrical Engineering Faculty Bucharest Romania Bucharest Transelectrica S.A Programming and Planning Department for the Teritorial Dispatch Center Bucharest Romania

ISBN: (纸本)9798350321388

Lithium-ion battery production is generally geared towards current demand from the main sectors: electric vehicles, consumer electronics, and energy storage. These sectors typically require the batteries to be as fresh as possible to ensure maximum lifespan and performance. Still, sometimes manufacturers work with buffer stocks and deliver batteries from different production series. In this context, the present paper examines stored batteries' capacity loss, employing an exhaustive statistical study. This study aims to establish if the capacity loss is statistically significant and can lead to battery pack unbalances. © 2023 IEEE.

关键词： Battery Pack

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