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检索条件"任意字段=13th International Conference on Computer Technologies and Development, TechDev 2024"

共 1540 条记录，以下是21-30 订阅

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development Trend of Code Defect Detection Technology Based on Natural Language Processing 13

Development Trend of Code Defect Detection Technology Based ...

引用

13th IEEE international conference on Communication Systems and Network technologies, CSNT 2024

作者： Wang, Jingdong Ta, Guiwen Meng, Fanqi School of Computer Science Northeast Electric Power University Jilin China

ISBN: (纸本)9798350305463

Traditional defect detection research is based on program analysis, and when dealing with large-scale programs, the detection speed is usually slow, resulting in limited detection performance. Moreover, because traditional defect detection can only extract basic semantic information, the detection accuracy is not high, which makes it difficult to play a role in practical applications. In recent years, with the progress of artificial intelligence technology, natural language processing technology has also been rapidly developed. through natural language processing technology, more complex, highdimensional and multi-level semantic features can be extracted from the code, so that the code defect detection has a higher accuracy, and the detection speed has been significantly improved. In this paper, the author mainly collects the relevant literature of code defect detection based on CNN, RNN, LSTM and Transformer, which belongs to natural language processing technology, discusses the difficulties and challenges still existing in defect detection, and finally makes a summary and outlook for the future. © 2024 IEEE.

关键词： Defects

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Application of Data Mining Method based on Deep Learning in Power System 13

Application of Data Mining Method based on Deep Learning in ...

引用

13th IEEE international conference on Communication Systems and Network technologies, CSNT 2024

作者： Wang, Jingdong Wang, Peng Meng, Fanqi Qu, Guangqiang School of Computer Science Northeast Electric Power University Jilin China

ISBN: (纸本)9798350305463

As new energy continues to become an important part of the power system, it constitutes a new type of power system with great progress and advantages in power generation and energy consumption. However, due to the uncertainty of new energy, there are many problems in the operation of the new power system. the emergence of data mining technology is able to mine the unknown and hidden information and relationship in the data generated and accumulated by the power system, and achieve the prediction and solution of the problems. In this paper, we will describe the application of data mining technology in the power system, focus on analyzing the application of neural network technology in data mining in the diagnosis of power equipment and new energy output prediction in the new type of power system, and finally summarize the application of data mining technology in the new type of power system and make a future outlook. © 2024 IEEE.

关键词： Data mining

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Review of Regional Photovoltaic Power Dispatching Based on Artificial Intelligence 13

Review of Regional Photovoltaic Power Dispatching Based on A...

引用

13th IEEE international conference on Communication Systems and Network technologies, CSNT 2024

作者： Wang, Jingdong Cheng, Zhu Qu, Guangqiang School of Computer Science Northeast Electric Power University Jilin China Northeast Electric Power University Jilin China

ISBN: (纸本)9798350305463

the stable operation of the power system is crucial for ensuring smooth social production. However, the regional photovoltaic power dispatching faces various challenges, including limited intelligence, unstable power generation, and unpredictable power loads. this paper aims to provide a comprehensive overview of the research conducted in this field. It begins by analyzing the research background of regional photovoltaic power dispatching. Subsequently, it introduces algorithm models and typical applications of artificial intelligence technology in regional photovoltaic power generation forecasting, regional power load forecasting, and regional power automatic dispatching systems. Furthermore, the paper highlights the current challenges faced in this field and presents its future prospects. By reading this paper, readers will gain a quick and systematic understanding of the regional photovoltaic power dispatching technology based on artificial intelligence. © 2024 IEEE.

关键词： Artificial intelligence

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Electronic Commerce in Tourism Industry under computer Technology 13

Electronic Commerce in Tourism Industry under Computer Techn...

引用

13th international conference on Logistics and Systems Engineering

作者： Song, Zheng Jing, Zhao Deqiang, Song Panjin Vocational and Technical College Panjin City China

ISBN: (纸本)9781713896708

With the prosperity of tourism-related industries and the wide application of computer technology and the Internet, the emergence and development of e-commerce tourism has a good social environment and technical support. Firstly, the development status of tourism e-commerce is analyzed, combined with the blank of local tourism e-commerce, the motivation and purpose of developing this system are put forward. the requirements of the tourism e-commerce website system are analyzed, and the design goals, methods, basic principles and operating environment are expounded. Developed on Microsoft *** platform, the system has a powerful database, the most important thing is to realize online query and transaction functions, and to carry out experimental evaluation on the usability of travel e-commerce websites. the experimental results show that the annual downtime of the system is expected to be four minutes, with extremely high availability, which greatly promotes the rapid development of the tourism industry, which will surely become the mainstream model in the development of the tourism industry in the future. © 2024 Proceedings of the 13th international conference on Logistics and Systems Engineering. All rights reserved.

关键词： Electronic commerce

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A Taxonomy of Factors that Influence the Multiple-Cloud Computing Utilization

A Taxonomy of Factors that Influence the Multiple-Cloud Comp...

引用

computer technologies and development (techdev), international conference on

作者： Hassan Saad Al-Qahtani Department of Information Technology College of Computing and Informatics Saudi Electronic University Kingdom of Saudi Arabia

ISBN: (数字)9798331539771

ISBN: (纸本)9798331539788

there are various factors that associated with the architecture of Multiple-Cloud Computing, which have negative impact that reduce the utilization of MCC. Our study is proposing a comprehensive taxonomy of these factors. the proposed classification will help to apply efficient solutions/approaches that prevent, avoid, or reduce the negative impact of these factors; and enhance dealing with these factors. this study identifies and categorize the factors into five primary dimensions: operational factors, data privacy and integrity factors, performance factors, and law and legislations factors.

关键词： Data privacy Cloud computing Taxonomy Legislation computer architecture

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Design of an Intelligent computer Room Equipment Safety Monitoring System Based on computer Vision 13

Design of an Intelligent Computer Room Equipment Safety Moni...

引用

13th IEEE international conference on Communication Systems and Network technologies, CSNT 2024

作者： Qiao, Yuya Fujian Normal University Fuqing Branch Fuqing Fujian350300 China

ISBN: (纸本)9798350305463

this article used OpenCV (Open Source computer Vision Library) to preprocess images, and then used positioning methods and horizontal and vertical projection methods to accurately locate the key information to be recognized. then, convolutional neural networks were utilized to recognize and analyze the segmented images. Based on the characteristics of the layout and dynamic environmental monitoring of the computer room, the computer room equipment safety monitoring system designed in this article includes an environmental monitoring module, a power monitoring module, a security access control monitoring module, and an abnormal alarm module. the average current intensity in the sleep state was 2μA, 10 mA in the wake state, 110 mA in the send state, and 15 mA in the receive state. the computer room equipment safety monitoring system has increased the efficiency and quality of computer room operation and maintenance, improved the intelligence level of power communication room monitoring, and provided a reference for technical solutions for real-time monitoring of other power communication rooms. © 2024 IEEE.

关键词： Access control

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Blockchain and Machine Learning for Data-Driven Insights in Consumer Behavior Analytics 13

Blockchain and Machine Learning for Data-Driven Insights in ...

引用

13th IEEE international conference on Communication Systems and Network technologies, CSNT 2024

作者： Rawat, Bhupender Singh thapliyal, Nitin Pal, Sunil Kumar Mishra, Nikhil Verma, Rohan College of Smart Computing Coer University Roorkee India Graphic Era Hill University Department of Computer Science & Engineering Dehradun India Axis Colleges Department of Computer Science & Application Kanpur India Department of Computer Science & Engineering Dehradun India

ISBN: (纸本)9798350305463

Comparing with neural network method to more known methods, this article assesses their simplicity and effectiveness. Our approach uses new network pruning, interpretability-based regularization, and gradient-based sensitivity analysis. Numerous dataset trials show that the suggested method is more accurate, faster, and more durable than others. Also easier to understand. It turns out that small neural networks may simplify models without compromising accuracy. this comparative study shows how neural networks can handle complex data and make good predictions. these networks will be increasingly accessible in daily life. © 2024 IEEE.

关键词： Sensitivity analysis

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Harnessing Security Improvements Using FaceNet Approach for Face Recognition System 13

Harnessing Security Improvements Using FaceNet Approach for ...

引用

13th IEEE international conference on Communication Systems and Network technologies, CSNT 2024

作者： Bhavya Sri, Pilli Navya, Kurella Saiteja, Kalla Keerthi, P. Hariharan, Shanmugasundaram Kukreja, Vinay Vardhaman College of Engineering Department of Computer Science and Engineering Hyderabad India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350305463

In the realm of education technology, the integration of biometric authentication has garnered significant attention for its potential to streamline and enhance traditional attendance management systems. this research explores the development and implementation of a Face Recognition-Based Attendance System (FRBAS) using the state-of-the-art FaceNet technology. FaceNet, renowned for its accuracy and efficiency in facial recognition, serves as the backbone for the proposed system. the Face Recognition-Based Attendance System (FRBAS) leverages FaceNet technology to not only provide a seamless and secure method for recording attendance but also offers a robust solution for identity verification. By harnessing the power of deep learning, the system ensures high accuracy and reliability in recognizing facial features, reducing the chances of errors associated with traditional methods. Additionally, the integration of biometric authentication not only enhances security but also facilitates a more efficient and timely attendance tracking process, promoting a technologically advanced and streamlined educational environment. © 2024 IEEE.

关键词： Face recognition

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AI-Driven Virtual Mock Interview development 13

AI-Driven Virtual Mock Interview Development

引用

Joint 13th international conference on Soft Computing and Intelligent Systems and 25th international Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024

作者： Mishra, Prabhat Kumar Arulappan, Arun Kumar Ra, In-Ho thanga Mariappan, L. Gina Rose, G. Lee, Young-Seok School of Computer Science Engineering and Information Systems Vit University Vellore India School of Computer and Software Kunsan National University Gunsan Korea Republic of Anna University Department of Computer Technology Chennai India

ISBN: (纸本)9798350373332

the integration of Artificial Intelligence (AI) into educational technologies marks a significant shift in learning methodologies and operational dynamics within educational institutions. At the forefront is an AI-driven virtual mock interview platform designed to address the high Customer Acquisition Costs (CAC) in the edtech sector, especially for interview preparation services. this initiative harnesses a blend of AI technologies, including ADA 2 for creating context-aware embeddings and Machine Learning (ML), to transform the traditional mock interview process into a dynamic, cost-effective system. Central to the platform is its use of advanced Natural Language Processing (NLP) techniques and GPT-4 Large Language Model (LLM), automating the process of mock interviews and providing personalized feedback, ensuring a preparation journey that meets specific candidate needs and mirrors real interview scenarios. A key evaluation among 100 students from a cohort of 1800 demonstrated a 90% cost reduction for three mock interviews, reducing expenses from 3000 to just 300 per candidate. this cost efficiency significantly enhances access to quality interview preparation, improving student satisfaction and accessibility. Moreover, the platform provides valuable insights into student performance, setting a new standard in educational technology by offering an effective, personalized interview preparation experience. this project reflects a holistic approach to student development and the critical role of technology in addressing the evolving needs of learners. © 2024 IEEE.

关键词： Cost reduction

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the Research of Intelligent Vehicle Dispatching technologies Based on Informatization System in Mine Mountains 13

The Research of Intelligent Vehicle Dispatching Technologies...

引用

13th international conference on Logistics and Systems Engineering

作者： Tao, Chen Xudong, Liao Zengyan, Li North-West Institute of Nuclear Technology Xi’an China

ISBN: (纸本)9781713896708

the narrowness of mine tunnels makes it difficult for vehicles from opposite directions to pass each other side by side. this paper lays its foundation on the information-based system of vehicle location and the voice-controlled vehicle dispatching platform. Firstly, this paper is a study of the intelligent vehicle dispatching technologies, which depend on the information about vehicle positions and spare the vehicles from the trouble of having to pass the narrow tunnels side by side. A set of priority policies for vehicle dispatching, which is applicable to the narrow tunnels in mine mountains, was put forward. Secondly, this paper expounded the design of some functional models for the priority policies and the algorithms for intelligent vehicle dispatching, which rely on the real-time analysis of vehicle positions. Finally, this paper discussed the development of an intelligent system for staggering the arrival of vehicles, which would otherwise have blocked each other’ s way in the narrow mine tunnels. Such system proved highly effective in test and in practice. © 2024 Proceedings of the 13th international conference on Logistics and Systems Engineering. All rights reserved.

关键词： Informatization

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