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9th international conference on applied System Innovation, ICASI 2023

作者： Chen, Chao-Ho Chen, Tsong-Yi Lin, Chia-En Chen, Zheng-Ying Wang, Da-Jinn Wen, Cheng-Kang Chern, Johng-Chern National Kaohsiung University of Science and Technology Department of Electronic Engineering Taiwan National Kaohsiung University of Science and Technology Department of Business Computing Taiwan Tainan University of Technology Department of Information Management Taiwan Chicago State University Department of Computing Information Mathematical Sciences & Technology Chicago United States

ISBN: (纸本)9798350398380

This paper presents an effective deep learning network to achieve higher enhancement effect for the high-contrast low-light text & digit images. The originality of our work is to use the channel attention layer for finding more effective features to improve the enhancement effect and exploit the weighing feature map to substantially enhance the details of text & digit images. Experimental result shows that our work has a higher natural visual-comfortable effect and high-quality detail enhancement than other methods. © 2023 IEEE.

关键词： Image enhancement

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A Proactive Approach for Detecting SQL and XSS Injection Attacks 3

A Proactive Approach for Detecting SQL and XSS Injection Att...

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3rd international conference on applied Artificial Intelligence and computing, ICAAIC 2024

作者： Lakshmi, B. Siva Kovvuri, Divya Bolisetti, H N Valli Chikkala, Dhana Sree Karri, Sravanthi Yadlapalli, Geetha Vignan's Institute of Engineering for Women Department Information Technology Visakhapatnam India Vignan's Institute of Engineering for Women Information Technology Visakhapatnam India

ISBN: (纸本)9798350375190

As web applications increasingly become integral to everyday life, ensuring their security is paramount. The importance of his cannot be overstated, as web attacks have seen a dramatic increase, primarily due to insufficient input validation mechanisms. Specifically, focused on the threat posed by injection vulnerabilities, including both SQL injection and cross-site scripting (XSS) injections. Despite the widespread awareness of these vulnerabilities and the availability of methods to prevent them, a significant number of developers still lack the necessary security training and awareness. This leaves a vast number of websites vulnerable to attacks, compromising user data and integrity. In response to this challenge, introducing a novel approach: an automated vulnerability scanner designed to specifically target and identify these types of injection attacks. By focusing on SQL injection and XSS vulnerabilities, this system aims to enhance the security of the web landscape, which is continually expanding and evolving. The scanner works by automatically analyzing websites to detect potential exploitable vulnerabilities in their input validation processes. Beyond merely identifying these vulnerabilities, this system also suggests prevention methods. These strategies help the developers to mitigate and identify risks, thereby safe guarding websites against such attacks. Proposed solution contributes significantly to the field of web application security and protect countless cyberattacks. © 2024 IEEE.

关键词： Websites

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Design of a Demonstration System for Vehicular Edge computing Scheduling 14

Design of a Demonstration System for Vehicular Edge Computin...

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14th international conference on information technology in Medicine and Education, ITME 2024

作者： Sun, Ye Wu, Shuangnan Shen, Li Yan, Hao Sheng, Feng Vocational University Hunan Automotive Engineering Zhuzhou China

ISBN: (纸本)9798350356670

With the widespread adoption of intelligent in-vehicle devices, demands for server computing performance and network transmission speed have significantly increased, while resources in vehicle-edge computing remain limited. This paper presents a demonstration and learning platform for vehicular edge computing scheduling, employing Web3D technology to create a three-tier model of the architecture, vividly illustrating the resource allocation process. Addressing the dynamic complexity of in-vehicle network environments, this study abandons conventional scheduling methods, opting instead for deep learning algorithms to determine data offloading strategies that can adapt to changing conditions. Furthermore, the design incorporates a virtual academy where users can learn about edge computing, deep learning, and related subjects to gain a comprehensive understanding of the demo system. © 2024 IEEE.

关键词： Scheduling algorithms

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Big Data Analysis and Applications in international Trade: Decision Optimization Based on Intelligent Algorithms 3

Big Data Analysis and Applications in International Trade: D...

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3rd IEEE World conference on applied Intelligence and computing, AIC 2024

作者： Yang, Wenwen Jiangxi College of Foreign Studies Nanchang330096 China

ISBN: (纸本)9798350384598

In the field of international trade, due to its wide range and complex interest relations, it is necessary to synthesize various information for analysis and decision-making. However, traditional data processing methods have been unable to meet the needs of enterprise development. As a new, efficient, safe and reliable solution, large database technology has been widely used in various fields and achieved good results. The purpose of this paper is to discuss and study the cross-department collaboration problem driven by intelligent algorithm through application examples. This paper first introduces the basic concepts, characteristics and relevant theoretical basis of inter-departmental collaboration. By studying the application of intelligent algorithms in interdepartmental collaboration, effective decision support tools are provided to deal with the complex situations in international trade. After that, this paper conducts a simulation test on the intelligent algorithm-driven decision optimization model, and the test results show that the test range of this model for the risk-return rate in trade is 0.04-0.09. © 2024 IEEE.

关键词： big data analysis decision optimization intelligent algorithms international trade

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Application of BIM Algorithm and Block Chain technology in the Construction of Agricultural Safety Traceability System 2

Application of BIM Algorithm and Block Chain Technology in t...

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2nd international conference on Distributed computing and Optimization Techniques, ICDCOT 2024

作者： Wang, Xiaofeng Bi, Xiaoming Institute of Information Technology Wenzhou Vocational College of Science and Technology Wenzhou China Cangnan Industrial Research Institute of Modern Agriculture Wenzhou China

ISBN: (纸本)9798350382952

The agricultural safety traceability system is a system that tracks the various qualities of agricultural products in all aspects of supply and marketing. It has prospects in the field of agricultural production and operation activities, and its technical framework is also facing new breakthroughs. As a digital tool, BIM technology not only provides digital expression for projects, but also gives knowledge resource sharing. It can be considered that BIM algorithms and blockchain technology can be deeply applied to agricultural safety traceability systems. In this paper, a quality and safety traceability platform is constructed. The traceability system is constructed by BIM and described by a blockchain consensus algorithm. We showed the framework of the consensus mechanism, compared the throughput of different consensus mechanisms, and then analyzed the average response delay of concurrency of different sizes to test the target block time and compare data writing performance, and verified the feasibility of the system architecture and the optimization of experimental data retrieval. © 2024 IEEE.

关键词： Blockchain

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The Utilization of Geographic information System in Logistics Distribution 24

The Utilization of Geographic Information System in Logistic...

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2024 2nd international conference on Internet of Things and Cloud computing technology, IoTCCT 2024

作者： Wang, Lingfeng Hsu, Hsing-Hua School of Economics and Management Quanzhou University of Information Engineering Fujian Quanzhou China

ISBN: (纸本)9798400710148

The paper examines the application of Geographic information System (GIS) in the logistics and distribution industry, and presents a comprehensive discourse on specific applications of GIS in the domains of route planning and optimization, cargo tracking and monitoring, warehouse management and optimization, as well as risk assessment and early warning systems. Moreover, it examines the integration of GIS with logistics distribution for its impacts on data integration and information sharing capabilities along with real-time data analysis for decision support purposes. The paper then proposes relevant suggestions to foster sustainable and robust development within this industry. © 2024 Copyright held by the owner/author(s).

关键词： Application analysis

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Advances in Convolutional Neural Networks for Object Detection and Recognition

Advances in Convolutional Neural Networks for Object Detecti...

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2024 international conference on Optimization computing and Wireless Communication, ICOCWC 2024

作者： Yadav, Dhananjay Kumar Kumari, Neeraj Harron, Syed Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Teerthanker Mahaveer University Department of Computing Sciences and Information Technology Uttar Pradesh Moradabad India Department of Computer Science and Information Technology Bangalore India

ISBN: (纸本)9798350383348

Convolutional neural networks (CNNs) have emerged as a powerful tool for object detection and recognition. Recent advances in CNNs have improved their performance on object detection by incorporating innovative convolutional layers and architectures. These advances include the inception architecture, region proposal networks (RPNs), and fully convolutional networks (FCNs). Additionally, these architectures have enabled object detection and recognition with significant improvements in accuracy and speed. Furthermore, recent research has focused on applying deep transfer learning techniques to CNNs for object detection and recognition, which have shown promising results in terms of precision and accuracy. Overall, these ongoing advancements have further improved the state of the art in object detection and recognition tasks. © 2024 IEEE.

关键词： Additionally Architectures Convolutional Improvements Layers Promising Recognition

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Optimal Method Combining Blockchain and Multi-Agent System to Ensure Data Integrity and Deduplication in the Cloud Environment

International Journal of Interactive Mobile Technologies

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international Journal of Interactive Mobile Technologies 2024年第10期18卷 90-105页

作者： El Ghazouani, Mohamed Ikidid, Abdelouafi Zaouiat, Charafeddine Ait Aziz, Layla Ichahane, Moulay Youssef Er-Rajy, Latifa ESIM Polydisciplinary Faculty of Sidi Bennour Chouaîb Doukkali University El Jadida Morocco Laboratory of System Analysis Information Processing and Industrial Management EST Salé Mohammed V University Salé Morocco Information Technology Laboratory National School of Applied Sciences Chouaîb Doukkali University El Jadida Morocco Computer Science Department Laboratory of Information Systems Engineering Cadi Ayyad University Marrakesh Morocco

Cloud computing (CC) refers to the transmission, storage, and processing of any type of information at a location that is not owned or controlled by the information owner. This information can be stored and accessed anytime, from anywhere, and using any device. However, several challenges threaten the deployment of cloud computing technology within organizations, including user privacy, data integrity, and managing the retention of the vast amount of data that will be stored and analyzed in this environment. In recent years, various data integrity checking systems and data storage mechanisms have been proposed to address these diverse challenges. Nevertheless, some protocols do not guarantee data confidentiality against auditors during the auditing process, while others do not provide batch auditing. Additionally, the majority of these protocols do not support the deduplication technique. Therefore, in this research work, the security features of blockchain technology and those of multi-agent systems (MAS) have prompted us to propose models that enable both data deduplication, saving storage space, and data integrity auditing, efficiently verifying the accuracy of data outsourced to CC environments. Implementation findings indicate that the suggested system is highly feasible and applicable in real-world scenarios. © 2024 by the authors of this article.

关键词： Multi agent systems

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Research on cloud edge collaboration technology based on root cause analysis and predictive maintenance of communication station

Research on cloud edge collaboration technology based on roo...

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2024 international conference on Optics, Electronics, and Communication Engineering, OECE 2024

作者： Fu, Ting Cai, Yuxiang Sun, Haosong State Grid Fujian Electric Power Co. Ltd. Information & Telecommunication Branch Fujian Fuzhou350000 China

ISBN: (纸本)9781510685437

Cloud computing has problems such as untimeliness and poor network stability. In order to solve this problem, the predictive maintenance model of information and communication station owners based on edge computing is under in-depth research. On the basis of existing research literature and case description analysis, the technical principles, key technologies and application cases of this model are studied, and the relevant operation and maintenance costs are compared and analyzed. Specifically, through real-time information monitoring and fault prediction technology, it can detect faults at any time and carry out corresponding maintenance in a timely manner, thereby reducing the use of human resources and production downtime. The results show that the maintenance time of this method is about 5-12 minutes, and the predictive maintenance model of the information and communication station based on edge computing has obvious effects and great advantages. It can solve the current problems in cloud computing well and improve the accuracy and efficiency of cloud computing. © 2024 SPIE.

关键词： Predictive maintenance

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Some Results on Asymptotically Regular Self-Mappings 2

Some Results on Asymptotically Regular Self-Mappings

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2nd international conference on Statistics, applied Mathematics, and computing Science, CSAMCS 2022

作者： Wu, Yijun Li, Linxin Sichuan College of Architectural Technology Deyang618000 China Chengdu University of Information Technology Chengdu610225 China

ISBN: (纸本)9781510663183

In this paper, we get some new results on Asymptotically Regular mapping which meet some new certain conditions by introducing some new functions or extending some new mappings. First, we introduce Reich and Chatterjea type nonexpansive mappings. Because of the connection and difference between the two of them and the Asymptotically Regular mapping, we extend some results in [1,2] to Asymptotically Regular self-mappings which meet certain conditions. And then, on this basis, we extend the unary mapping to the binary mapping, and also get the same conclusion. Surprisingly, we prove that the fixed points are the same. Finally, we introduce the mapping which defined by Boyd and Wong[10] and prove the mapping more broadly. © 2023 SPIE.

关键词： Mapping

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