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第42届中国控制会议

作者： Li Wang Yuntao Yu Dasong Zhang Hui Yang National Computer System Engineering Research Institute of China

In self-organized aggregation,that no specific aggregated sites are known makes it intractable for powerless *** this paper,we formulate the aggregation problem as a shape construction process in which agent's behavior is determined by the positional relationship with its *** paper presents a novel self-organizing strategy to gather a swarm of homogeneous robots into rectangular clusters without any prior target ***,the robots are unable to communicate with each other and have a minimal range of perception,which is the smallest value to avoid collision between *** the definition of semi-stable/stable states,we design a distributed probabilistic aggregation algorithm that takes advantage of the temporal and spatial perception of robots.A new metric is introduced to measure the similarity of aggregated clusters and *** algorithm is evaluated via a series of simulation experiments running on a group of up to 1000 agents,showing that it allows robot swarms to obtain the desired aggregation.

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Stress Analysis and Care Prediction for Hostellers

Stress Analysis and Care Prediction for Hostellers

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International Conference on Communication, Computing and Internet of Things (IC3IoT)

作者： A. Vishnukumar A. Kavitha G. Akshaya Computer Science and Business System Rajalakshmi Engineering College Rajalakshmi Nagar Chennai

ISBN: (数字)9798350352689

ISBN: (纸本)9798350352696

Stress is one of the major concerns for students in recent days. The rapid changes in the environment, lack of adoptability, life style habits, social media interactions, education, finance in all means, students build a resilient stress thinking about various issues. The proposed study considers the specific concern on hostel students and their impact of stress due to various reasons. Students staying away from the parents initially have certain level of stress and emotional imbalance. The presented study considers the measures taken so far to analyse the human stress level in changing environment, using various existing tools and techniques etc. the role of technology and recent developments impact the analysis pattern of these problems are discussed. The study considers the benefits of internet of things (IoT), Embedded systems and devices enabled to detect the stress levels. The system considerations, challenges in stress analysis models are explored.

关键词： Analytical models Technological innovation Social networking (online) Reviews Anxiety disorders Finance Telecommunication computing

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Optimizing Broadcast Utilization for Efficient Disaster Management Using Wireless Ad Hoc Networks and Novel Energy-Saving Algorithms

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2024年第20期18卷 142-156页

作者： Alzyoud, Faisal Y. Tarawneh, Monther Almaghthawi, Ahmed Altalidi, Askar Asiri, Layla Alrehaili, Meaad Department of Computer Science Faculty of Information Technology Isra University Amman Jordan Department of Information Technology College of Information Technology and Communications Tafila TechnicaUniversity Tafila Jordan Department of Computer Science College of Science & Art at Mahayil King Khalid University Abha Saudi Arabia Department of Information Science College of Science & Art at Mahayil King Khalid University Abha Saudi Arabia Departement of Computer Information System Applied college at Mahayil King Khalid University Abha Saudi Arabia Department of Computer Sciences and Artificial Intelligence Collège of Computer Science and Engineering University of Jeddah Jeddah Saudi Arabia

Globalization, industry, and population growth is considered the main reasons for climate change, so when some natural calamity or disaster occurs in any area, it leads to isolating this area from the rest of the region. Wireless ad hoc networks are important in disaster management to reduce losses and costs as they reduce the response, aiding time to save lives. However, they suffer from limited energy, which controls the lifetime of the sensor. Different methods are applied to save energy and increase battery life, such as sleep-awake schedules which assume similar initial energy for all nodes. Domestic partition in a unit disk graph is the production of the maximum possible number of such disjoint dominants. However, it assumes different initial energy levels for all nodes, which is another problem. In this paper, a new broadcast approach based on minimum set data broadcasting is proposed to mini-mize the number of broadcasting messages to increase the battery life during disasters and enhance rescue operations. The proposed minimum rebroadcast algorithm (MSRA) method balances coverage and utilization efficiency by dynamically adjusting node selection based on network conditions. The results show that MSRA significantly reduces power consumption and transmission latency, opening the way to find a new solution for disaster management using wireless ad hoc networks. © 2024 by the authors of this article.

关键词： Mobile ad hoc networks

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Honeypot Comparison of Attack Detection and Mitigation of SSH Attack 3

Honeypot Comparison of Attack Detection and Mitigation of SS...

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3rd IEEE Delhi Section Flagship Conference, DELCON 2024

作者： Ali, Wasif Sajid, Ahthasham Ghodke, Tanvi Ajit Malik, Rida Malik, Neeru Kaushik, Keshav Riphah Institute of System Engineering Riphah International University Department of Cyber Security Islamabad Pakistan Pimpri Chinchwad University Department of Computer Science and Engineering Maharashtra India School of Engineering & Technology Pimpri Chinchwad University Maharashtra Pune India Amity School of Engineering and Technology Amity University Mohali India

ISBN: (纸本)9798331518592

This research study addresses the importance of honeypots at multiple levels, which includes but not limited to placement in network or group of networks working alongside in an organization. This paper talks about the usage of multiple honeypots working alongside to log useful data for the mitigation of ongoing bot or actual attack this approach helps the organization better understand the threat they are dealing and the techniques which they can use to overcome the gap of the unseen security risks. The comparison will shed better light to the working and attack patterns of the ongoing attacks, gaining more confidence on using the honeypot for better protection. This allows strategic, optimized and critical insight to the evolving attack patterns. © 2024 IEEE.

关键词： Network intrusion

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Evaluation of IT Governance with BAI Domain at Senior High School Using Cobit 5 8

Evaluation of IT Governance with BAI Domain at Senior High S...

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8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Prabowo, Yulius Denny Fernando, Erick Gate, Jullend Binus Online Learning Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Universitas Multimedia Nusantara Faculty of Engineering and Informatics Department of Information System Tangerang Indonesia Institut Teknologi Dan Bisnis Kalbis Faculty of Computer Science and Design Department of Information System Jakarta Indonesia

ISBN: (纸本)9798350326093

This study's objective is to evaluate the system's level of maturity by adopting the COBIT Framework 5. The COBIT Framework is one of the ISACA-issued frameworks that defines the concept of information technology governance. The BAI (Build, Acquire, and Implement) domain is the subject of this investigation. The BAI domain is one of the COBIT 5 Framework domains responsible for program and project management, description of needs, identification of solutions, building change availability and capacity, change acceptance and transition, knowledge, assets, and configuration. This study employs qualitative methods to perform literature reviews and question-and-answer sessions, and then collects quantitative analytical data through the formulation of statements or inquiries. There were 5 respondents who responded to the statement, and they implemented the system. The BAI domain of the CBT Examination system in Jakarta's Senior High School XYZ has been calculated and determined to be at level 4, indicating that the system is functioning appropriately. There are subdomains with a lower maturity level in BAI01, BAI02, BAI03, BAI04, BAI06, BAI07, and BAI08, specifically at a rate between 3.8 and 3.96. Additionally, BAI05, BAI09, and BAI10 contain subdomains with a higher level of maturity, with a value range of 4.07 to 4.15. All BAI subdomains culminate at level 4, the system's maturity level, with a value of 3.93. Level 4 indicates that the level of development for Managed and Measurable is fairly good. It can also provide recommendations for improvements, such as paying attention to project management methods before beginning implementation, being able to estimate the time required for the implementation process, and paying attention to the role of trained stakeholders. © 2023 IEEE.

关键词： Project management

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Robust Spectral Efficiency Maximization in 5G Networks Using Non-Linear Stochastic Precoding 2

Robust Spectral Efficiency Maximization in 5G Networks Using...

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2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Ponnaian, Geetha Jayanthi, N. Sarasu, R. Sajitha, L.P. Ramalakshmi, R. Manimegalai, L. Department of Computer Science and Engineering Thandalam Chennai India Pallavaram Tamil Nadu Chennai600117 India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences India R. M. K Engineering College Department of Computer Science and Business System Tamilnadu Kavaraipettai India Ramco Institute of Technology Department of Electronics and Communication Engineering Rajapalayam India R.M.K. College of Engineering and Technology Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350371055

This research focuses on enhancing the spectral efficiency of 5G networks through the utilization of nonlinear stochastic precoding techniques. The proposed approach aims to mitigate the detrimental effects of channel impairments and noise by employing advanced precoding schemes that exploit the statistical properties of the wireless channel. By incorporating nonlinear precoding algorithms and stochastic optimization methods, the system can dynamically adapt to varying channel conditions, resulting in improved data transmission rates and overall spectral efficiency. Through extensive simulations and analysis, the effectiveness of the proposed method is demonstrated, showcasing its potential to significantly enhance the performance of 5G networks in real-world scenarios. © 2024 IEEE.

关键词： 5G networks channel impairments nonlinear stochastic precoding spectral efficiency stochastic optimization

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Skin Cancer Detection Using Deep Machine Learning Techniques

SSRN

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SSRN 2024年

作者： Akinrinade, Olusoji Du, Chunglin Computer System Engineering Department Tshwane University of Technology Soshanguve South Africa

Technological advancements have allowed people to have unfettered access to the internet from anywhere in the world. This study describes skin cancer and the difficulties in diagnosing and identifying it. It also reviews several machine learning (ML) approaches—deep learning and few-shot learning in particular—that have been suggested to deal with these difficulties. To increase detection accuracy, the study also emphasizes the significance of early skin cancer identification and the possible advantages of utilizing techniques based on artificial intelligence. The authors also suggest using deep learning and few-shot learning when using machine learning techniques for skin cancer diagnosis. This study utilized a novel approach: the use of raw images for training and test images for test data. These input images were then pre-processed using a deep model to identify and predict subsequent outputs using the model. In addition, the Convolutional Neural Network (CNN) effect in predicting accuracy using a skin lesion's texture to differentiate between benign and malignant lesions in the body was also examined using retrieved image elements from skin photos that were significant to skin cancer identification. The study focuses on using deep learning techniques to improve the detection of skin cancer from dermoscopic images. A variety of deep learning backbones were utilized, addressing the challenge of class imbalance in large datasets and seeking ways to boost performance even when only small datasets are available. To overcome these obstacles, the research leveraged transfer learning, data augmentation, and Generative Adversarial Networks (GANs). The study also involved a comparison between ensemble models and hybrid models to determine which was more effective for the early detection of skin cancer. The paper concluded with a discussion of the challenges faced in the early detection of skin cancer, suggesting that while progress has been made, there are still significa

关键词： Adversarial machine learning

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Chatbots4Mobile: Feature-oriented Knowledge Base Generation Using Natural Language

Chatbots4Mobile: Feature-oriented Knowledge Base Generation ...

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Joint of REFSQ-2023 Workshops, Doctoral Symposium, Posters and Tools Track and Journal Early Feedback, REFSQ-JP 2023

作者： Motger, Quim Franch, Xavier Marco, Jordi Department of Service and Information System Engineering Universitat Politècnica de Catalunya Spain Department of Computer Science Universitat Politècnica de Catalunya Spain

Chatbots4Mobile is a research project from the GESSI research group (UPC-BarcelonaTech) which aims at designing and developing a task oriented, knowledge based conversational agent to support mobile users in the process of managing and integrating the functionalities exposed by their own application portfolio. To support the design of the required knowledge base, the project focuses on the application of Natural Language Processing (NLP) techniques to infer extended knowledge about the features exposed by a subset of mobile applications, including feature extraction from app-related documents, syntactic and semantic similarity analysis between features, and intent/entity classification focused on functionality identification from user requests. As next steps, we are focusing on the evaluation of embedded linguistic knowledge in large language models, as well as the application of granular sentiment analysis techniques to discern biased documents and process sentiment-based user feedback. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Sentiment analysis

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Automated User Experience (UX) Testing for Mobile Application: Strengths and Limitations

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第4期16卷 30-45页

作者： Abuaddous, Hayfa. Y. Saleh, Ashraf Mousa Enaizan, Odai Ghabban, Fahad Al-Badareen, Anas Bassam Faculty of Computer Sciences and Informatics Amman Arab University Amman Jordan Department of Management Information System University of Tabuk Tabuk Saudi Arabia College of Computer Science and Engineering Taibah University Medina Saudi Arabia Department of Software Engineering Aqaba University of Technology Aqaba Jordan

User Experience (UX) evaluation has a significant importance for any interactive application. Mobile device applications have additional limitations to convey good user experiences (UX) due to the usage and features of mobile devices in ubiquitous computing contexts. There are a lot of automated tools available for evaluating, such applications particularly developed for Android and iOS. Automated UX evaluation provides a number of strengths which are able to overcome the limitations of non-automated (moderated) counterparts. Automated UX evaluation is regarded as unexplored field, especially when it is adopted for the UX evaluation of complex mobile application. Despite these, automated UX evaluation tools are unexplored and should only be used in coupling with traditional UX evaluation techniques. Hence, this study aims to discuss the literature in automated UX evaluation and to highlight the UX measurements that merit further investigation. This paper presents the most fre-quently used automated UX evaluation tools for mobile applications. Therefore, the study analyzes existing automated UX tools and frameworks and identifies which UX attributes and measurements of automated UX evaluation are likely to be of use in future research. Moreover, we discuss the strengths and limitations of automated UX evaluation methods for mobile applications. Finally, the paper provides an overview of automated UX evaluation techniques and tools. It also presents the strengths and limitations for comparing various evaluation methods. © 2022,International Journal of Interactive Mobile Technologies. All Rights Reserved.

关键词： Automation

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Design and Implementation of a Multiport system for Solar EV Applications

Design and Implementation of a Multiport System for Solar EV...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Rezaii, Reza Nilian, Mohammad Ghosh, Sumana Batarseh, Issa Safayatullah, Md University of Central Florida Department of Electrical and Computer Engineering Orlando United States Ford Motor Company Electric Drive System DearbornMI United States

ISBN: (纸本)9798350316445

This paper presents a multiport converter for solar electric vehicles (SEVs) that integrates multiple power sources, such as photovoltaic (PV) panels, batteries, supercapacitors, and a DC-link. The primary objective of this design is to address two critical challenges faced by SEVs: 1) the impact of partial shading on different parts of the vehicle, and 2) the power demands during acceleration and deceleration operations. To tackle these issues, the proposed solution utilizes a quad-input LLC (QLLC) converter, which facilitates independent maximum power point (MPP) tracking for each PV panel by dynamically adjusting the switching frequency and phase shifts. Moreover, a bidirectional hybrid DC-DC converter serves as an interface between the storage sources and DC-link. The inclusion of a supercapacitor enhances the battery's longevity by optimizing mutual power flows. The multiport converter design offers several advantages, including a wide voltage gain range, reduced voltage stress on power switches, a common ground for low and high voltage ports, and zero voltage switching (ZVS) characteristics. These features make the proposed multiport converter an efficient and robust solution for SEVs. © 2023 IEEE.

关键词： LLC converter multiport converter photovoltaic solar electric vehicles

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