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检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

共 1532 条记录，以下是151-160 订阅

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chatGPT vs Mentor : Programming Language Learning Assistance System for Beginners

chatGPT vs Mentor : Programming Language Learning Assistance...

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international conference on software engineering and computer systems (icsecs)

作者： JunSeong Moon RaeEun Yang SoMin Cha Seong Baeg Kim Computer Education Graduate School Jeju National University Jeju South Korea Computer Education Jeju National University Jeju South Korea

With the recent rise of large language models, learning assistance systems that utilize natural language processing capabilities are gaining attention. However, existing learning assistance systems mainly aim to provide answers to learners' questions, and have limitations in accurately identifying individuallearning needs and analyzing questions to provide customized answers. therefore, in this study, we compare chatGPT and mentor responses in the process of learning a programming language and find out the limitations of each and develop a system to assist programming language learning using chatGPT. the developed system allows learners to get realtime answers from chatGPT immediately, and can also provide additional personalized guidance and answers based on the mentor's judgment. In addition, through the analysis of learners' responses and chatGPT's answers, we aim to evaluate the appropriateness and accuracy of the answers and explore and suggest technical limitations and improvement measures of chatGPT. By analyzing and discussing the differences between the traditional mentoring method and the learning assist method using chatGPT, we aim to diagnose the limitations of chatGPT in programming language learning. through this study, we expect to develop an effective programming language learning assistance system by integrating the advantages of chatGPT and mentoring to improve learners' understanding and learning efficiency.

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Development of an Automated Tool to download Youtube Audio/Video using Artificial Intelligence Techniques 8

Development of an Automated Tool to download Youtube Audio/V...

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Elizabeth Rani, G. Sakthimohan, M. Amuthaguka, D. Sanjeevi Kumar, V. Gobala Krishnan, B. Arvind, M. KGiSL Institute of Technology Department of Csbs Tamilnadu Coimbatore India KGiSL Institute of Technology Department of Ece Coimbatore India Kalasalingam Academy of Research and Education Department of Computer Applications Krishnan Koil India

ISBN: (纸本)9798350396638

the aim of this research study is to present a new YouTube downloader software tool that leverages the power of both artificial intelligence and the Python programming language. this innovative solution combines cutting-edge AI algorithms with the versatility of Python to offer a highly efficient and automated solution for downloading videos from YouTube. the software utilizes AI algorithms to analyze the YouTube video and determine the best possible download format and resolution. the user-friendly interface, built using Python, allows even novice users to easily search, select, and download videos from YouTube. the tool also supports batch downloading, enabling users to download multiple videos at once. Furthermore, the software employs AI-powered optimization techniques to enhance the speed and quality of the downloaded videos. the results of our experiments show that this software offers a faster and more efficient solution for downloading YouTube videos compared to traditional YouTube downloader tools. In conclusion, the developed YouTube downloader using Python and AI is a valuable tool for individuals and businesses who require a fast and reliable way to download and save YouTube videos for offline viewing. © 2023 ieee.

关键词： Python

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Network Intrusion Detection Using CNN-based Classification Method 8

Network Intrusion Detection Using CNN-based Classification M...

引用

8th ieee/ACIS international conference on Big Data, Cloud Computing, and Data Science, BCD 2023

作者： Peng, Tzu-En Liu, I-Hsien Li, Jung-Shian Liu, Chuan-Kang National Cheng Kung University Institute of Computer and Communication Engineering Department of Electrical Engineering Tainan Taiwan National Chin-Yi University of Technology Department of Artificial Intelligence and Computer Engineering Taichung Taiwan

ISBN: (纸本)9798350373615

With the rapid advancement of Artificial Intelligence (AI) in recent years, there has been a growing body of AI-related research in the field of Network Intrusion Detection systems (NIDSs). In this paper, a network intrusion detection method based on Convolutional Neural Network (CNN) was tested using the KDD Cup 99 dataset. Along with Sigmoid-weighted Linear Unit (SiLU) as the activation function and Stochastic Gradient Descent (SGD) as the optimizer, Batch Normalization (BN) was applied to mitigate internal covariate shift. the evaluation was carried out using performance metrics for the attack classes, which yielded good results for intrusion detection and demonstrated an impressive average accuracy rate of 99.26% after ten epochs, showcasing its promising results in intrusion detection. © 2023 ieee.

关键词： Intrusion detection

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Uniform Resource Clustering for Service Function Chaining in NFV-based Cloud Environment 8

Uniform Resource Clustering for Service Function Chaining in...

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8th ieee international conference for Convergence in Technology, I2CT 2023

作者： Mishra, Anshul Ayachit, Amruta Halemani, Shivani Shetty, Sparsha Narayan, D.G. Patil, Somashekar KLE Technological University School of Computer Science and Engineering Hubballi India

ISBN: (纸本)9798350334012

Network function virtualization (NFV) and software-defined networking (SDN) have had a significant positive influence on the development of technology that mostly resolves the problems with conventional network management systems. Hypervisors enable the virtualization of numerous network functions and services. Virtualized network services such as firewall, load balancer, and network address translator (NAT) along with others can be chained together to form a service chain. A data packet can go through the service chain as per its defined policy and not every available service. Such service function chaining (SFC) policies can be hosted at end devices to conserve a significant amount of energy and time. In this work, we have proposed an approach in which the SFC policies use an adequate amount of network parameters and a technique that uses uniform resource clustering (URC). Two Parameters namely bandwidth and CPU utilization are considered. Our findings indicate that the URC approach saves energy and time significantly. the average network service time with our approach is 9% less than the default approach. © 2023 ieee.

关键词： Network function virtualization

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Smart Attendance System - CountMe 8

Smart Attendance System - CountMe

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8th international conference on Big Data, Knowledge and Control systems engineering, BdKCSE 2023

作者： Stoyanova-Doycheva, Asya Doychev, Emil Totev, Daniel Department of Computer Systems University of Plovdiv Plovdiv Bulgaria

ISBN: (纸本)9798350313246

this article discusses the development of a system for facilitating the registration of student attendance in lectures, exercises, and laboratory sessions - CountMe, which has been tested in the 'Java Programming' courses at the Faculty of Mathematics and Informatics at Plovdiv University. the system implements a quick way to register attendance by shifting the time-consuming manual tasks from the instructor to the students. this is made possible through the widespread use of mobile smart devices, which, using QR codes, reduce the registration process to a few seconds. the system also provides attendance statistics for individual events as well as for groups of events, making it a convenient tool for instructors. the architecture and implementation of the system are briefly outline. © 2023 ieee.

关键词： computer programming

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A Nerve-Like Systolic Message Bus System 8

A Nerve-Like Systolic Message Bus System

引用

8th international conference on computer and Communication systems, ICCCS 2023

作者： Wang, Guokang Chen, Xiangning He, Tianchen School of Electronic Science and Engineering Nanjing University Nanjing China

ISBN: (纸本)9781665456128

With the development of humanoid robot and unmanned driving technology, the communication network with similar functions of neural system that connects the control center and various sensors and actuators becomes more and more important. However, the transmission systems currently used to connect many sensors are difficult to meet the actual needs in terms of scheduling capacity, data processing capacity and transmission capacity when faced with a large number of sensor connections. this paper proposes a new nerve-like systolic message bus (NSMB) system based on the investigation of the existing bus technology to meet the interconnection requirements of similar neural systems. We introduced the principle of NSMB from three aspects: metrization, multimedia parallel processing and pulse pipeline operation, and propoesed a reference model for its implementation and the model was validated at the end. © 2023 ieee.

关键词： Buses

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Design and Research of the Whole Process Non-blocking Technology in High Concurrency Scenario 8

Design and Research of the Whole Process Non-blocking Techno...

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8th international conference on computer and Communication systems, ICCCS 2023

作者： Liao, Xuehua Luo, Chunqi Lu, Peng Xiao, Pengcheng Zhu, Zhousen Lei, Meng College of Computer Science Sichuan Normal University Chengdu610101 China College of Physics and Electronic Engineering Sichuan Normal University Chengdu610101 China

ISBN: (纸本)9781665456128

Under high concurrency scenarios, software applications can suffer from low access efficiency and high exception rate due to I/O bottlenecks and database connection number limitations. Without changing the hardware conditions, a fullprocess non-blocking technology is employed to alleviate the performance bottleneck of software applications under high concurrency scenarios from the perspective of optimizing access request reception and data read/write rates. Firstly, to mitigate the huge concurrency pressure on database caused by a large number of non-essential operations, a Bloom filter is selected to filter invalid access requests. then, a concurrent data processing caching strategy is applied to hand with the performance bottleneck problem caused by the limitation of database connections in the high-concurrency scenario. Furthermore, to address the issue that synchronous I/O cannot take advantage of the responsive framework and combine with the new achievements in database technology development, an asynchronous non-blocking database access middleware is designed and developed to achieve a completely asynchronous non-blocking and streaming data processing mode. After testing and application practice, the effectiveness and efficiency of the proposed methods are confirmed, and it also has certain wide applicability. © 2023 ieee.

关键词： Database systems

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A review of recommendation systems based on the fusion of new technologies 8

A review of recommendation systems based on the fusion of ne...

引用

8th international conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2023

作者： Gao, Meizhu Yu, Wanjun Shanghai Institute of Technology Computer Science and Information Engineering Shanghai China

ISBN: (纸本)9798350369564

the huge amount of data has grown exponentially with the development of Internet technology, and we have thus entered the era of information explosion. It is very difficult to get the target information that users are interested in or need in the huge amount of data. To solve the problem of information overload, recommendation systems play an important role. At present, recommendation systems have become a popular research area and have received a lot of attention with many application areas. However, recommendation systems suffer from the problems of cold start, data sparsity and poor interpretability, and many researches have been conducted to alleviate these problems. In this paper, we first give a brief overview of recommendation systems and traditional recommendation algorithms, then summarize the improvements made by recommendation systems with the introduction of auxiliary information, and finally summarize the challenges faced by recommendation systems and give the future development hotspots. © 2023 ieee.

关键词： Collaborative filtering

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Real-Time Intelligent Information Protection Using AI and Machine Learning Model 8

Real-Time Intelligent Information Protection Using AI and Ma...

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8th ieee international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2023

作者： Anusha, P. Beatrice Dorothy, A. Kamalraj, N. Pundir, Sumit Verma, Shanti Jakka, Geethamanikanta R.M.K. Engineering College Department of Electronics and Communication Engineering Tamilnadu India Department of Data Science Tiruchirappalli620002 India Suguna College of Arts and Science Department of Computer Science Tamilnadu Coimbatore India Graphic Era Deemed to Be University Department of Computer Science Engineering Uttrakhand Dehradun India Lj University Department of Computer Applications Gujarat Ahmedabad India University of the Cumberlands Department of Information Technology FremontCA United States

ISBN: (纸本)9798350347791

Machine learning (ML) and Artificial intelligence (AI) are crucial components in the field of information security due to their capacity for rapid analysis of millions of events and identification of a wide variety of threats. Malware that takes use of zero-day vulnerabilities is just one type of cyber threat;others include detecting potentially dangerous behavior before it results in a phishing attempt or the download of malicious *** and ML are indispensable because of their capacity for rapid analysis of millions of even. through time and experience, these systems have the ability to recognize previously unseen threats. Users, assets, and networks may all be profiled based on their behavior histories, giving AI the ability to spot and react to outliers. © 2023 ieee.

关键词： HTTP

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Multi-Camera Object Fusion Tracking Model for Autonomous Driving 8

Multi-Camera Object Fusion Tracking Model for Autonomous Dri...

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8th ieee international conference on Smart Cloud, SmartCloud 2023

作者： Wang, Jue Gao, Xiaodi Wang, Ping School of Software and Microelectronics Peking University China Co. Ltd. China National Engineering Research Center for Software Engineering Peking University China Ministry of Education China

ISBN: (纸本)9798350313505

In order to solve the problems such as vehicle trajectory interruption and frequent ID switches caused by the limited perception range of a single camera in autonomous driving, a real-time multi-camera object fusion tracking algorithm is proposed, which combines multiple cameras’ detected objects, and automatically extends the autonomous vehicle’s perception range to 230 meters, providing a larger perception range and more stable and continuous historical trajectory input of surrounding vehicles for the downstream trajectory prediction module in autonomous driving. the experimental results on the public and real-vehicle datasets show that our method can effectively realize the real-time fusion tracking of multiple cameras’ multiple objects under the perspective of the autonomous driving vehicle, and achieve high accuracy and robustness under the premise of satisfying the real-time requirements of autonomous driving. ©2023 ieee.

关键词： Object detection

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