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2024 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2024

作者： Su, Te-Jen Cheng, Jui-Chuan Lin, Wei-Hong Zhuang, Qian-Yi Huang, Yao-Tzeng Wang, Shih-Ming Horng, Mong-Fong Department of Electronic Engineering National Kaohsiung University of Sciences and Technology Kaohsiung Taiwan Department of Computer Science and Information Engineering Cheng Shiu University Kaohsiung Taiwan

ISBN: (纸本)9798350389210

With the development and application of internet and information communication technology, countries around the world have invested heavily in the space industry in recent years, with particular emphasis on the deployment of satellite communication systems. However, the complexity of satellite communication and the uncertainty of environmental changes often affect communication quality. In order to enhance the fault diagnosis and maintenance capabilities of technicians for satellite communication systems, this study applies fuzzy theory to fault diagnosis in satellite communication ground station. The research work introduces the basic architecture and equipment functions of satellite communication systems and combines the years of maintenance experience of experienced personnel to analyze possible types of faults and their impact on system performance. It proposes a fault diagnosis method based on fuzzy theory and establishes a database of possible fault causes. After maintenance or operation personnel input the quality parameters of satellite modem Eb/No(energy per bit to noise power spectral density ratio) and RSL (Received Signal Level) into the system, fuzzy logic inference and data analysis comparison are used to quickly and accurately determine possible fault causes and improvement methods in satellite communication ground station. Finally, through simulation experiments and actual maintenance, the accuracy and reliability of this system are verified. Both maintenance and operation personnel can use this diagnostic method to clarify possible fault causes in satellite communication systems. New staff can quickly enter the independent working stage, thereby effectively improving the work efficiency of the entire maintenance team, reducing time costs, and ensuring the reliability and stability of satellite communication systems. © 2024 IEEE.

关键词： Satellite communication systems

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A Robotic-based Remote Control Painting System for Exterior Walls of High-Rise Buildings

A Robotic-based Remote Control Painting System for Exterior ...

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2024 IEEE International Conference on Computing, Applications and Systems, COMPAS 2024

作者： Das, Diganta Kundu, Dipanjali Rahman, Anichur Rahman, Muaz Sazzad, Sadia Jahangirnagar University Department of Statistics Dhaka1342 Bangladesh Department of Computer Science Engineering Dhaka1350 Bangladesh Department of Electrical and Electronic Engineering Dhaka1350 Bangladesh

ISBN: (纸本)9798331529765

Exterior painting of high-rise buildings is a challenging task. In our country, as well as in other countries of the world, this task is accomplished manually, which is risky and life-threatening for the workers. Researchers and industry experts are trying to find an automatic and robotic solution for the exterior painting of high-rise building walls. In this paper, we propose a solution to this problem. We design and implement a prototype for automatically painting the building walls' exteriors. A spray mechanism was introduced in the prototype that can move in four different directions (up-down and left-right). All the movements are achieved by using microcontroller-operated servo motors. Further, these components create a scope to upgrade the proposed remote-controlled system to a robotic system in the future. In the presented system, all the operations are controlled remotely from a smartphone interface. Bluetooth technology is used for remote communications. The suggested system is expected to improve productivity with better workplace safety. © 2024 IEEE.

关键词： Tall buildings

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Domain-Adaptive Clustered Federated Transfer Learning for EV Charging Demand Forecasting

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IEEE Transactions on Power Systems 2025年第2期40卷 1241-1254页

作者： Wang, Tianjing Ren, Chao Dong, Zhao Yang Yip, Christine Nanyang Technological University School of Electrical and Electronic Engineering 639798 Singapore KTH Royal Institute of Technology Wallenberg-NTU Presidential Researcher School of Electrical Engineering and Computer Science StockholmSE-100 44 Sweden City University of Hong Kong Department of Electrical Engineering Hong Kong999077 Hong Kong The University of Sydney CAFEA Smart City Limited Hong Kong and School of Civil Engineering SydneyNSW2006 Australia

To address the privacy concerns for state-of-the-art cutting-edge centralized machine learning in electric vehicle (EV) charging demand forecasting applications, federated learning (FL) has been employed to transfer training processes from the cloud server to edge devices. Nevertheless, traditional FL still grapples with several challenges in terms of personalization, transferability, feature extraction, and data security. This study proposes a domain-adaptive clustered federated transfer learning (FTL) scheme for EV charging demand forecasting. This scheme combines the principles of transfer learning (TL) with FL by utilizing maximum mean discrepancy to measure the differences between local features and cluster them, weight local model parameters in the global model aggregation, and realize domain adaptation for projecting local data and new data to the trained FL model. A multi-head attention-based transformer is leveraged to construct a forecasting model to focus on the most relevant spatio-temporal features. Under multi-stage differential privacy protections, Laplace noise is injected into the local feature, model update and local model during the clustering, FL and TL processes, respectively. The case study demonstrates that the proposed domain-adaptive clustered FTL outperforms the conventional FTL and FL, local training, and other domain shift handling techniques in predictive accuracy and operational risk. © 1969-2012 IEEE.

关键词： Federated learning

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Interactive Blood Bank Repository: Django AWS Approach 5

Interactive Blood Bank Repository: Django AWS Approach

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5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024

作者： Sujatha, E. Manickavasagan, V. Lakshminarayanan, S. Ani Minisha, R. Rekha, K.S. Loganathan, V. Department of Computer Science and Engineering Saveetha Engineering College Tamil Nadu India Department of Computer Science and Business Systems Sri Sairam Engineering College Tamil Nadu India Department of Computer Science and Engineering Sri Sairam Engineering College Tamil Nadu India Department of Information Technology Saveetha Engineering College Tamil Nadu India Department of Artificial Intelligence and Data Science Vel Tech Multi Tech Dr Rr and Dr Sr Engineering College Tamil Nadu India

ISBN: (纸本)9798350385649

Everyday, there are a growing number of people who require blood transfusions and there is no substitute for human blood. The secure blood donors are voluntary non-remunerated blood donors from risk populations. Donors in India and across the globe are three types namely, Voluntary donors, Professional donors and replacement donors. The deadline-driven web framework that supports Django's clean, practical design and speedy development. The existing system has a manual work restriction. This has restrictions on securely controlling the task for timely results declaration, and has a significant resource consumption. Web-based blood donation is the coordination of the supply and demand of blood through an online portal. The main goal of this research study is to give blood donors and blood searchers an online platform and to develop an engaging method of connecting the two groups. The suggested system provides a great deal of information regarding blood types, blood supply, and blood donation specifics to raise awareness among the public. Additionally, other system features like password-based security protection, report generation, chat functionality, and stock shortages can even improve the management tasks by streamlining them. © 2024 IEEE.

关键词： Economics

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A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing

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computers, Materials & Continua 2023年第5期75卷 2741-2757页

作者： Muhammad Usman Sana Zhanli Li Tayybah Kiren Hannan Bin Liaqat Shahid Naseem Atif Saeed College of Computer Science and Technology Xi’an University of Science and TechnologyXi’anShaanxi710054China Department of Computer Science(RCET Campus) University of Engineering and TechnologyLahore39161Pakistan Department of Information Sciences Division of Science&TechnologyUniversity of EducationLahore54700Pakistan Department of Computer Science COMSATS UniversityIslamabadLahore54700Pakistan

Cloud computing is a technology that provides secure storage space for the customer’s massive data and gives them the facility to retrieve and transmit their data efficiently through a secure network in which encryption and decryption algorithms are being *** cloud computation,data processing,storage,and transmission can be done through laptops andmobile *** Storing in cloud facilities is expanding each day and data is the most significant asset of *** important concern with the transmission of information to the cloud is security because there is no perceivability of the client’s *** have to be dependent on cloud service providers for assurance of the platform’s *** security and privacy issues reduce the progression of cloud computing and add ***;most of the data that is stored on cloud servers is in the form of images and photographs,which is a very confidential form of data that requires secured *** this research work,a public key cryptosystem is being implemented to store,retrieve and transmit information in cloud computation through a modified Rivest-Shamir-Adleman(RSA)algorithm for the encryption and decryption of *** implementation of a modified RSA algorithm results guaranteed the security of data in the cloud *** enhance the user data security level,a neural network is used for user authentication and ***;the proposed technique develops the performance of detection as a loss function of the bounding *** Faster Region-Based Convolutional Neural Network(Faster R-CNN)gets trained on images to identify authorized users with an accuracy of 99.9%on training.

关键词： Cloud computing data security RSA algorithm Faster R-CNN

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Enhancing ChatGPT’s Querying Capability with Voice-Based Interaction and CNN-Based Impair Vision Detection Model

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computers, Materials & Continua 2024年第3期78卷 3129-3150页

作者： Awais Ahmad Sohail Jabbar Sheeraz Akram Anand Paul Umar Raza Nuha Mohammed Alshuqayran College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudia Arabia 2 School of Computer Science and EngineeringKyungpook National UniversityDaegu41566South Korea 3 Department of EngineeringManchester Metropolitan UniversityManchesterM156BHUK

This paper presents an innovative approach to enhance the querying capability of ChatGPT,a conversational artificial intelligence model,by incorporating voice-based interaction and a convolutional neural network(CNN)-based impaired vision detection *** proposed system aims to improve user experience and accessibility by allowing users to interact with ChatGPT using voice ***,a CNN-based model is employed to detect impairments in user vision,enabling the system to adapt its responses and provide appropriate *** research tackles head-on the challenges of user experience and inclusivity in artificial intelligence(AI).It underscores our commitment to overcoming these obstacles,making ChatGPT more accessible and valuable for a broader *** integration of voice-based interaction and impaired vision detection represents a novel approach to conversational ***,this innovation transcends novelty;it carries the potential to profoundly impact the lives of users,particularly those with visual *** modular approach to system design ensures adaptability and scalability,critical for the practical implementation of these ***,the solution places the user at its *** responses for those with visual impairments demonstrates AI’s potential to not only understand but also accommodate individual needs and preferences.

关键词： Accessibility in conversational AI CNN-based impair vision detection ChatGPT voice-based interaction recommender system

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Predicting Software Errors Using Neural Networks 12

Predicting Software Errors Using Neural Networks

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12th International Conference on System Modeling and Advancement in Research Trends, SMART 2023

作者： Pandey, Ratnesh Kumar Chand, Jay Srivastava, Ashish Kumar Singh, Narendra Pal Gautam, Rakesh Kumar Invertis University Department of Computer Science & Engineering UP Bareilly India Kamla Nehru Institute of Physical and Social Sciences Department of Computer Science & Engineering UP Sultanpur India Madyanchal Professional University Department of Computer Science & Engineering MP Bhopal India Iimt College of Engineering Department of Computer Science & Engineering UP Greater Noida India Iet Department of Computer Science & Engineering Department of Information Technology UP Lucknow India

ISBN: (纸本)9798350369861

The growing call for online technology software has additionally elevated the call for great and occasional-cost merchandise. Predicting software vulnerabilities is one of the most essential obligations of a very good security gadget. Growth nice at low cost by decreasing ordinary testing and preservation efforts. Early detection of defects in the software program improvement existence Cycle (SDLC) leads to early improvement and transport in the closing period of software program control, which leads to consumer delight and gives self assurance to the development group. in the beyond decade, many machine learning-primarily based blunders prediction software program were proposed to attain excessive accuracy. synthetic Neural Networks (ANN) are considered one of the system gaining knowledge of techniques and encompass maximum of the prediction schemes and models. ∗ This examine provides a vital analysis of the modern facts published due to the fact that 20152018. On the usage of neural networks for software program prediction. This take a look at is based totally on the studies system information from 3 widely used digital libraries (which include IEEE, Elsevier and Springer) and then conducted the subsequent take a look at. 8 most crucial articles were selected in the course of the entire method. studies courses are examined meticulously. ∗ This paintings will help researchers look into the modern-day country of software disorder prediction through focusing on neural networks and provide benchmarks for destiny trends. This white paper uses device getting to know and deep learning to find out the quality device gaining knowledge of algorithms for software defect prediction (SEP). This have a look at uses the NASA Metric statistics program (MDP) dataset to evaluate and predict the overall performance and accuracy of deep getting to know and machine getting to know fashions. the 2 mastering algorithms used are help vector machine (SVM) and logistic regression. Two deep

关键词： Forecasting

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Sustainable-Security Assessment Through a Multi Perspective Benchmarking Framework

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computers, Materials & Continua 2022年第6期71卷 6011-6037页

作者： Ahmed Saeed Alfakeeh Abdulmohsen Almalawi Fawaz Jaber Alsolami Yoosef B.Abushark Asif Irshad Khan Adel Aboud SBahaddad Md Mottahir Alam Alka Agrawal Rajeev Kumar Raees Ahmad Khan Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical and Computer Engineering Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow-226025Uttar PradeshIndia Department of Computer Science and Engineering Babu Banarasi Das UniversityLucknow-226028Uttar PradeshIndia

The current cyber-attack environment has put even the most protected systems at risk as the hackers are nowmodifying technologies to exploit even the tiniest of weaknesses and infiltrate *** this situation,it’s critical to design and construct software that is both secure and *** security is the most well-defined aspect of health information software systems,it is equally significant to prioritise sustainability because any health information software system will be more effective if it provides both security and sustainability to the customers at the same *** this league,it is crucial to determine those characteristics in the systems that can help in the accurate assessment of the sustainable-security of the health information software during the development *** research work employed the Fuzzy Analytic Network Process(Fuzzy ANP)to estimate the impact of the overall sustainable-security of health information software systems and their characteristics in order to achieve a high level of ***,the study validates the efficacy of the Fuzzy ANP procedure by testing it on five different versions of a health information software system through Fuzzy Technique for Order of Preference by Similarity to Ideal Solutions(Fuzzy TOPSIS).Despite the sensitivity of the health information software systems,this study employedmultiple versions of health information software *** compared with the existing procedures for testing the sustainable-security of health information software systems,the outcomes were conclusive and significantly more *** saving time and resources,the mechanism suggested in this research work aims to establish an outline that software practitioners can follow to enhance the sustainablesecurity of health information software systems.

关键词： Sustainable-security sustainable health information software systems analytic network process fuzzy logic

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Analysis of Advanced Persistent Threat Attacks, Lifecycle, and Counter Measures: A Comprehensive Review 6th

Analysis of Advanced Persistent Threat Attacks, Lifecycle, a...

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6th International Conference on Recent Innovations in Computing, ICRIC 2023

作者： Bhardwaj, Rohit Kumar, Neerendra Kour, Harnain Verma, Narinder Ashish, Ankit Department of Computer Science and Information Technology Central University of Jammu Samba181143 India Department of Computer Science and Engineering Central University of Jammu Samba181143 India

ISBN: (纸本)9789819778614

Large organizations including big IT firms and military organizations are interconnected through a large cyber network and these organizations are prone to highly sophisticated forms of cyber-attacks like Advanced Persistent Threats. Advanced Persistent Threats are highly sophisticated and formidable form of attacks that are characterized by their stealthy, prolonged, and meticulously planned operations. This paper explores the nature of Advanced Persistent Threats and talks about the stages of its lifecycle and the mitigation strategies. It examines the different stages of APTs beginning from reconnaissance to setting up a command-and-control centre and exfiltrating the data without getting detected. Further, based on the existing studies, various existing APT attack detection techniques are identified. In response to the challenges, a framework is proposed for detection of APT attacks. Furthermore, this paper also discussed the countermeasure methodologies such as pattern-based detection, the cyber kill chain framework, and artificial intelligence-based approaches to underscore the importance of proactive and multilayered defence mechanisms. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Cyber attacks

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Joint Resource Allocation and Trajectory Design for UAV-Assisted Covert Coverage Maximization

Joint Resource Allocation and Trajectory Design for UAV-Assi...

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2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Mao, Haobin Liu, Yanming Yang, Junyi Xiao, Zhenyu Han, Zhu Xia, Xiang-Gen School of Electronic and Information Engineering Beihang University Beijing100191 China University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of University of Delaware Department of Electrical and Computer Engineering NewarkDE19716 United States

ISBN: (纸本)9798350370218

The successful and complete downlink transmission of critical data from an unmanned aerial vehicle (UAV) base station, such as control command and intelligence information, is essential for ground users to perform specific tasks in adversarial scenarios. In this paper, we propose to employ a UAV to disseminate data to ground users aiming at meeting their data demand, where a warden attempts to detect the transmission. To maximize the covert coverage, we formulate an optimization problem to maximize the number of served users through joint resource allocation and UAV trajectory design. To solve the formulated mixed-integer non-convex problem, we first relax the original problem and then propose a penalty-based two-loop iterative algorithm. Specifically, the resource allocation and the UAV trajectory are alternatively optimized by employing the block successive convex approximation (BSCA) method in the inner loop, while the Lagrangian penalty multipliers are updated in the outer loop. Simulation results have validated the fast convergence and performance superiority of our proposed method compared to the benchmarks in the literature. © 2023 IEEE.

关键词： convex optimization resource allocation trajectory design UAV covert communications

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