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检索条件"任意字段=2nd International Conference on Computer Science and Software Engineering, CSASE 2022"

共 8424 条记录，以下是171-180 订阅

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Intelligent Network Load Balancing System with Geographic Routing and SDN Multi-Controller Architecture 2

Intelligent Network Load Balancing System with Geographic Ro...

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2nd international conference on Smart Technologies for Smart Nation, SmartTechCon 2023

作者： Badotra, Sumit Sundas, Amit Ganguli, Isha Verma, Amit Singh, Gurpreet School of Computer Science Engineering and Technology Bennett University Uttar Pradesh Greater Noida India University Centre for Research and Development Department of Computer Science and engineering Chandigarh University Gharuan Mohali India School of Computer Science and Engineering Lovely Professional University Punjab Phagwara India

ISBN: (纸本)9798350305418

software-defined networking (SDN) is a network architecture that allows for greater control and programmability of network traffic. SDN load balancing can be implemented using various techniques, such as round-robin, IP-hash, and least connections. SDN load balancing can be done using a single controller or multiple controllers. "Intelligent Network Load Balancing System with Geographic Routing and Multi-Controller Architecture" is a comprehensive solution that addresses network performance optimization and downtime reduction. The system's components work collaboratively to distribute network traffic intelligently, minimize latency, and enhance user experience. The incorporation of machine learning techniques ensures continuous improvement and adaptability to evolving network conditions. Overall, this system provides a promising approach to improving network performance and user satisfaction in modern network environments. © 2023 IEEE.

关键词： control plane data plane loadbalancing machine learning multicontroller sdn

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Design of an Intelligent System for Sports Motion Recognition Based on Data Analysis Algorithms 2

Design of an Intelligent System for Sports Motion Recognitio...

引用

2nd IEEE international conference on Image Processing and computer Applications, ICIPCA 2024

作者： Wu, Qiuling Guangdong University of Science and Technology Department of Physical Education Guangdong Dongguan China Physical Education Research Center Guangdong University of Science and Technology Guangdong Dongguan China

ISBN: (纸本)9798350360240

This study is dedicated to the design and implementation of an intelligent sports motion recognition system based on data analysis algorithms, aiming to enhance the efficiency and safety of sports training and competitions. By collecting and analyzing athletes' motion data, the system is capable of recognizing and classifying various sports movements in real-time, providing coaches and athletes with immediate feedback and suggestions for improvement. The paper begins by reviewing related research in the field of sports motion recognition, particularly the application of machine learning and deep learning methods in motion recognition. Subsequently, we introduce the methodology of the system, including the detailed process of data collection, preprocessing, and algorithm selection. The system design section elaborately describes the architecture of the intelligent system, comprising hardware components and software implementation, as well as user interface design. A series of experiments were conducted to validate the effectiveness of the proposed system, indicating its high accuracy in recognizing a variety of sports movements. Moreover, we discuss the challenges and limitations encountered during the system implementation and propose potential directions for improvement. The results of this research are anticipated to significantly contribute to the scientific level of sports training and the performance of athletes. © 2024 IEEE.

关键词： Motion estimation

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Internet of Things (IoT) in Smart Cities: A Statistical Survey 2

Internet of Things (IoT) in Smart Cities: A Statistical Surv...

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2nd international conference on Business Analytics for Technology and Security, ICBATS 2023

作者： Iqbal, Muhammad Waseem Khaliq, Khowla Al-Dmour, Nidal A. Aqeel, Muhammad Ali, Nasir Hamid, K. Superior University Department of Software Engineering Lahore54000 Pakistan Superior University Department of Computer Sciecnce Lahore54000 Pakistan Mutah University College of Engineering Department of Computer Engineering Jordan NCBA&E School of Computer Science Lahore Pakistan Applied Science Private University Applied Science Research Center Amman11937 Jordan

ISBN: (纸本)9798350335644

Internet of things is progressing very rapidly and involving multiple domains of everyday life including environment, governance, healthcare system, transportation system, energy management system, etc. smart city is a platform for collecting and storing the information that is accessed through various sensor-based IoT devices and make their information available in required and authorized domains. This interoperability can be achieved by semantic web technology. In this paper, I have reviewed multiple papers related to IoT in Smart Cities and presented a comparison among the semantic parameters. Moreover, I've presented my future domain of research which is about delivering the COVID-19 patients report to the concerned domains by the healthcare system domain. © 2023 IEEE.

关键词： Internet of things

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Development of an Optimization Framework Marketing Strategies and Charging Station Facilities to Accelerate the adoption of Electric Vehicles 2

Development of an Optimization Framework Marketing Strategie...

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2nd international conference on software engineering and Information Technology, ICoSEIT 2024

作者： Stefani, Yulia Komsiyah, Siti Mauritsius, Tuga Bina Nusantara University School of Computer Science Mathematics Department Jakarta11480 Indonesia Bina Nusantara University Master of Information Systems Management Jakarta11480 Indonesia

ISBN: (纸本)9798350317503

This research investigates the optimal placement of charging stations (SPKLU) and battery swapping stations (SPBKLU) for public electric vehicles in Jakarta, in response to the urgent need for environmental sustainability amidst global warming and escalating air pollution. The study, underlining the Indonesian government's initiative (Presidential Regulation No. 55 of 2019) for electric vehicle adoption, employs Particle Swarm optimization (PSO) alongside mathematical models to minimize costs related to construction, operation, and user access. Focusing on PSO for its efficacy in nonlinear problem-solving, the research incorporates data from 320 potential SPKLU locations, emphasizing accessibility to key urban amenities. The method aims to reduce cumulative costs while ensuring optimal distribution of charging facilities across Jakarta's regencies. The results reveal the successful identification of fifty-eight potential SPKLU locations, proving the effectiveness of PSO in cost reduction and accessibility enhancement for electric vehicle users. This study not only provides insights into the strategic placement of EV infrastructure in urban settings but also sets a foundation for future advancements in this field, highlighting the growing need for eco-friendly transportation solutions in metropolitan areas like Jakarta. © 2024 IEEE.

关键词： Cost reduction

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Consensus control and network communication for MAS 2

Consensus control and network communication for MAS

引用

2nd international conference on computer science, Electronic Information engineering and Intelligent Control Technology, CEI 2022

作者： Wu, Hao Henan University of Engineering Dept. of Software Zhengzhou China

ISBN: (数字)9781665476164

ISBN: (纸本)9781665476164

In this paper, the User Datagram Protocol (UDP) is used for network communication between MAS, and an applicable consensus control algorithm is derived. Using the consensus control algorithm, the velocities of MAS including two real robots and three virtual robots tend to have consensus. The proposed algorithm is verified by simulation and experimental results, it proves that the deduced algorithm has more effective improvements than other algorithms. © 2022 IEEE.

关键词： computer science Consensus control Consensus protocol Robots Intelligent control

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Cyber-Attacks and Anomaly Detection in Networking Based on Deep Learning—A Survey 1

引用

2nd international conference on Computational Intelligence in Machine Learning, ICCIML 2022

作者： Swathi, K. Narsimha, G. Department of Computer Science and Engineering CVR College of Engineering Jawaharlal Nehru Technological University Hyderabad India Department of Computer Science and Engineering Jawaharlal Nehru Technological University Hyderabad India

ISBN: (数字)9789819979547

ISBN: (纸本)9789819979530

The rapid development in Internet has brought great convenience in our daily life, as well as cyber criminals focus shifted from real to virtual life as well. These security problems threaten user’s privacy and also increasing prominently because hackers launch attacks by injecting malicious software in to the network and disturbs normal flow of network activities. Traditional Artificial Intelligence specifically Machine Learning Algorithms is no longer effective in detecting new attack patterns and unknown abnormal behavior in the network traffic. The anomaly detection process helps in providing the report of malicious activities and gives better results. To detect abnormal traffic in network, we need a strong robust deep learning abnormal traffic detection framework. In this paper, different machine learning algorithms were studied in detecting the anomalies and cyber-attacks in network and to identify the problem in existing solutions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Anomaly detection

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Machine Learning-Based Approach for Detecting DDoS Attack in SDN 2

Machine Learning-Based Approach for Detecting DDoS Attack in...

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2nd international engineering conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Alnatsheh, Athari Alsarhan, Ayoub Aljaidi, Mohammad Rafiq, Husnain Mansour, Khalid Samara, Ghassan Igried, Bashar Al Gumaei, Yousef Ali The Hashemite University Dept. of Computer Science Zarqa13116 Jordan The Hashemite University Dept. of Information Technology Zarqa13116 Jordan Zarqa University Dept. of Computer Science Zarqa Jordan Edge Hill University United Kingdom College of It Kingdom University Riffa Bahrain The Hashemite University Computer Science and Applications Zarqa Jordan Global College Heriot Watt University United Kingdom

ISBN: (纸本)9798350373363

With the great widespread networking and software-Defined Network (SDN) solutions, software-defined networks have become the target of many different attacks and security threats. software-defined networks are frequently exposed to denial-of-service attacks and distributed denial-of-service (DDoS), which may harm the controller or switch of SDN.. Consequently, the services offered by this network can be negatively *** this research, an experimental work was conducted to detect a DDoS Flooding attack. The features were extracted from a dataset to understand the behavior of the SDN and measure its performance in case of normally operating or when it is subjected to a DDoS *** performance of SDN was evaluated using several machine learning classifiers. Three classifiers are used in our experiments: Random forest (RF), Support vector machine (SVM), and Naive Bayes (NB).The results showed the superiority of the RF classifier over other classifiers with a detection accuracy of 98.89%. © 2023 IEEE.

关键词： Denial-of-service attack

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Search-Based Prediction of software Functional Fault Slip-Through 2

Search-Based Prediction of Software Functional Fault Slip-Th...

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2nd international conference on Multidisciplinary engineering and Applied science, ICMEAS 2023

作者： Abba, Fatuhu Habib Umar, Kabir Ibrahim, Umar Adam Dalhatu, Abubakar Ibrahim Bayero University Computer Science Kano Nigeria Nile University of Nigeria Sofware Engineering Abuja Nigeria Nile University of Nigeria Computer Science Abuja Nigeria

ISBN: (纸本)9798350358834

pressure to improve software development processes is not new, but today 's competitive environment places even greater emphasis on delivering better services at lower costs. Research and development of technologies to simplify and accelerate software development has been conducted since the existence of software. Never the less, projects typically spend at least 50 percent of their development work on rework that could have been avoided, or at least fixed in a more cost-effective manner. By finding more defects early in the software testing process, much of the rework cost can be avoided. One of the main reasons for high rework costs is that defects leak from early stages, when it is cheaper to find and eliminate them. Fault slip-Through(FST) metrics are used to determine whether a fault has passed through the phrase in which it should be discovered. Defects can occur during unit testing, functional testing, integration testing, and system testing stages of a software project. The purpose of this study is to investigate the performance of the Cat Swarm optimization algorithm in predicting the drift of functional bugs during the software testing stage. The results obtained in this work show that the accuracy, precision, recall, f1: of the Cat Swarm optimization algorithm for the functional metric number of fault slip-Through are 92%, 83%, 91% and 87%, respectively is show that. © 2023 IEEE.

关键词： Cost effectiveness

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Comparison of Conventional and Modified Ant Colony Approaches for Path Planning of Robot in an Indoor Environment 2

Comparison of Conventional and Modified Ant Colony Approache...

引用

2nd international conference on Disruptive Technologies, ICDT 2024

作者： Sharan, Sudeep Ngoc Minh, Anh Tong Nguyen, Duc Thuan Dominguez-Jimenez, Juan Jose Nauth, Peter Frankfurt University of Applied Sciences Computer Science and Engineering Frankfurt am Main Germany Ucase Software Engineering Group School of Engineering University of Cádiz Cádiz Spain

ISBN: (纸本)9798350371055

The optimal path for autonomous robots is highly needed, particularly in the industrial communities, manufacturing and social support industries. The meta-heuristic methods are strong and adaptable, and their employment in autonomous problems is taken into consideration. One of the methods used by the researchers is Ant Colony Optimization (ACO). However, this approach is less effective due to a few limitations. Thus, in order to mitigate its shortcomings and enhance the robustness of path planning, this paper aims to compare the different standard ACO algorithm with the new modified built algorithm, which is developed by taking the concept of ACO and extending it by condition-based rules, named as condition based-ant colony concept (CB-ACC), to solve path planning. The theoretical foundation of ACO with modification as another approach are used in this study to illustrate the ACO methods in the path planning, particularly in the static-complex environment. Simulation results show the comparison of the ACO approaches, including the Ant System (AS), the Ant Colony System (ACS) and the modified condition based-ant colony concept (CB-ACC), and how they are effective for static-complex environments compared to conventional ACO algorithms. Moreover, this paper presents the comparison results of the three approaches. © 2024 IEEE.

关键词： Ant Colony Optimization Ant Colony System Ant System Condition/rule-based System Modified ACO Path Planning

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Beidou Positioning Antenna PCB Board and software Design 2

Beidou Positioning Antenna PCB Board and Software Design

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2nd international conference on Automation, Robotics and computer engineering, ICARCE 2023

作者： Li, Chengyong Dong, Gang Chongqing College of Finance and Economics School of Artificial Intelligence and Big Data Chongqing China Chongqing Engineering College School of Electronic Information Chongqing China

ISBN: (纸本)9798350308341

Short-range wireless transmission has the advantages of strong anti-interference performance, high reliability, good security, limited by geographical conditions, flexible installation, etc., and has a wide application prospect in many fields. Low power consumption and miniaturization are the actual needs of users for current wireless communication products, especially portable products. Short-range wireless communication has gradually attracted wide attention. Common short-range wireless communication has 802.11-based wireless LAN WLAN, blueTooth, HomeRF and HiperLAN (high performance wireless LAN) in Europe, but its hardware design, interface mode, communication protocol and software stack are complex, requiring a special development system, high development cost and long cycle. The end product costs are also high. Therefore, these technologies are not widely used in embedded systems. Common RF products do not have these problems, and short-range wireless data transmission technology is mature, simple function, easy to carry, so that it has been widely used in embedded short-range wireless products. © 2023 IEEE.

关键词： software design

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