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检索条件"任意字段=International Conference on Advanced Research on Computer Science and Information Engineering"

共 160594 条记录，以下是271-280 订阅

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Blockchain Governance Design a computer science Perspective 1st

Blockchain Governance Design a Computer Science Perspective

引用

35th international conference on advanced information Systems engineering (CAiSE)

作者： Wang, Yulu Kaya, Fadime Gordijn, Jaap Vrije Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9783031349843;9783031349850

Blockchain-based DAOs and governance frameworks have emerged, however limited research has been done on the governance foundations of blockchain networks. In blockchain networks decisions are made through a collaborative and consensus building design mechanism. Such a governance process is complex, dynamic, and challenging. This paper presents blockchain governance design from a computer science perspective. We do so by exploring concepts such as decentralization, blockchain governance, Decentralized Autonomous Organization (DAO) and a novel modeling approach on blockchain governance namely DECENT. In this paper, we presented why conceptual modeling is a design requirement for blockchain governance. researchers can use the DECENT modeling approach as a reference framework for blockchain governance design, such as empirical and comparative case studies.

关键词： Blockchain Governance DAO Digital Platform Governance Decentralized Governance Design

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AgileVision Academy: Indoor Drone Navigation and Obstacle Avoidance 14

AgileVision Academy: Indoor Drone Navigation and Obstacle Av...

引用

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

作者： Jiang, Haolong Gu, Lingdan Wang, Jiayu Lan, Xiao Liu, Qinyao Wang, Fanxin Xi'an Jiaotong Liverpool University University of Liverpool School of Advanced Technology Department of Electrical and Electronic Engineering Suzhou China Xi'an Jiaotong Liverpool University School of Robotics Department of Intelligence Robotics Engineering With Contemporary Entrepreneurialism Suzhou China Xi'an Jiaotong Liverpool University School of Advanced Technology Department of Information and Computer Science Suzhou China Xi'an Jiaotong Liverpool University School of Advanced Technology Department of Electrical and Electronic Engineering Suzhou China Xi'an Jiaotong Liverpool University School of Advanced Technology Department of Mechatronics and Robotics Suzhou China

ISBN: (纸本)9798350356670

Navigating cluttered indoor environments presents a significant challenge for aerial robots, requiring agility, speed, and a high level of reliability to avoid collisions. This project aims to address this challenge by developing advanced algorithms for lightweight drones, enabling them to reach target location and carrying out delivery efficiently and safely. Utilizing camera data to map and avoid obstacles, we create a system that not only maps and perceives the environment but also navigates its path to the destination. Included in the educational content, this project demonstrates the effectiveness of the technology through practical applications and real-world testing, helping the next generation of engineers accumulate technical experience and broaden their understanding of drone navigation algorithms and applications in system integration. It has a milestone impact on education and development of the drone field. © 2024 IEEE.

关键词： Drones

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research on power-assisted steering control system of steering wheel based on servo drive 6

Research on power-assisted steering control system of steeri...

引用

6th international conference on information science, Electrical, and Automation engineering, ISEAE 2024

作者： Yan, Tao Li, Shanshan Lei, Jianmei Tang, Chunpeng Yan, Hang China Automotive Engineering Research Institute Co. Ltd. Chongqing401122 China

ISBN: (纸本)9781510682924

A servo driven control system is proposed to assist the steering wheel In this paper. The hardware part controls the angle and torque of the motor based on PID algorithm to achieve full closed-loop control, and collects the angle and torque of the steering wheel regularly;The upper computer software is used for human-computer interaction, parameter setting, realtime display, data storage, etc. The stability and accuracy of the control system are proved by the real vehicle test. © 2024 SPIE.

关键词： Closed loop control systems

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The Activities and Procedures on Tactical-Level Command and Control with Targeting Mission and Dependence of Criteria of Relevant information 17

The Activities and Procedures on Tactical-Level Command and ...

引用

17th IEEE international conference on advanced Trends in Radioelectronics, Telecommunications and computer engineering, TCSET 2024

作者： Tymchuk, Volodymyr Lytvyn, Vasyl Mezhevikin, Yevhen Popov, Oleksandr Sashchuk, Igor Trysnyuk, Vasyl National Army Academy Scientific and organizational dept. Lviv Ukraine Lviv Polytechnic National University Information systems and networks Lviv Ukraine National Security and Defense Council of Ukraine Kyiv Ukraine Armed Forces of Ukraine Targeting dept. Kyiv Ukraine Ministry of Defense of Ukraine Educational and information dept. Kyiv Ukraine Institute of Telecommunications and Global Information Space of Ukraine Kyiv Ukraine

The paper is dedicated to data and information processing in tactical-level Command and Control systems with targeting mission and dependence of criteria of relevant information to ensure the potential possibilities d... 详细信息

ISBN: (纸本)9798331520564

关键词： C4ISR Command and Control data processing information consolidation intelligence reconnaissance

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Approach to Identifying Counterfeit Products with QR Codes and Computational Algorithms 5

Approach to Identifying Counterfeit Products with QR Codes a...

引用

5th international conference on Smart Electronics and Communication, ICOSEC 2024

作者： Prabhu Shankar, B. Rajkumar, N. Viji, C. Dinesh Kumar, K. Saravanakumar, S. Mohanraj, A. Vel Tech Rangarajan Dr.Sagunthala R & D Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu India Alliance University Department of Computer Science and Engineering Karnataka India Paavai Engineering College Department of Information Technology Tamil Nadu India Sri Eshwar College of Engineering Department of Computer science and engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798331504403

The biggest challenge in the global market is Counterfeiting, it has undesirably affected consumer perception and damaged the brand reputation of the product. Recently few techniques used in the identification of counterfeit products include block chaining, RFID tags, and unique code techniques among others but they do not entirely control the existence of counterfeits in the market as well as losing their dependability and scalability. Consequently, these techniques are expensive and technologically advanced. This research presents a new approach based on reliable product authentication using QR code technology powered by mathematical computational algorithms. Employing implementing this system;however, customers can recognize fake goods and sustain the brand's integrity. The proposed approach entails creating Unique QR codes for every product whose coded data contains the encrypted product information. These include product numbers, manufacturing dates as well as batch numbers of the products which are hashed and then encrypted with sophisticated computational algorithms;these two algorithms secure the product, one generating QR codes for a product containing information thereof and the other that confirms if the consumer is holding a genuine item using a mobile application. Through experimental results, it was evident that the system is highly accurate, reliable, and speedy since verification times averaged below 1 second. This research also outlines some of the strengths of the proposed system including enhanced product originality as well as potential limitations such as internet connectivity and initial set-up costs. In future work, we will optimize our encryption algorithm and expand to other products within the system's coverage area. © 2024 IEEE.

关键词： Commerce

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Prediction, Detection and Control of Insider Threats in Organizations 4th

Prediction, Detection and Control of Insider Threats in Orga...

引用

4th international conference on advanced research in Technologies information Innovation and Sustainability-ARTIIS-Annual

作者： Esparza, Esteban Dieguez, Mauricio Hochstetter, Jorge Univ La Frontera Temuco Chile Univ La Frontera Dept Comp Sci & Informat Temuco Chile

ISBN: (纸本)9783031840777;9783031840784

Insider attacks represent a significant threat in today's information security landscape, causing substantial financial and reputational damage to organizations. This article addresses the increasing need for effective strategies to predict, detect, and control insider threats. The primary motivation behind this research is the growing prevalence and cost of insider attacks, as highlighted by various reports. Our objective is to provide a systematic mapping of existing literature to evaluate the current state of insider threat management and identify gaps and opportunities for future research. To achieve this, we employed a systematic mapping methodology, analyzing literature from databases such as Web of science, Scopus, and IEEE Xplore. The key stages of our methodology included defining research questions, generating search strings, applying inclusion and exclusion criteria, and conducting detailed data extraction and analysis. The main result of our study reveals that while a significant portion of the literature focuses on detection measures, there is a notable gap in predictive and preventive strategies. Additionally, the majority of proposed solutions are models and frameworks, with fewer practical tools available for real-world implementation. This research provides a comprehensive overview of the current landscape of insider threat management, highlighting the critical need for enhanced predictive and preventive measures. Our findings suggest that future research should prioritize developing robust, adaptive solutions that integrate multiple methodologies to effectively mitigate insider threats.

关键词： information security Insider Cybersecurity Prediction

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GhostStereoNet: Stereo Matching from Cheap Operations 4

GhostStereoNet: Stereo Matching from Cheap Operations

引用

4th international conference on computer science, Electronic information engineering and Intelligent Control Technology, CEI 2024

作者： Zhang, Haohua Li, Yan College of Information Science and Technology Jinan University Guangzhou China

ISBN: (纸本)9798350378542

Deep convolutional neural networks show excellent performance in stereo vision tasks. However, most of current network architectures are complex and require high hardware resources. To handle this problem, we propose GhostStereoNet, a light weight end-to-end stereo matching network by applying Ghost modules in GwcNet. We extend the 2D Ghost bottleneck to 3$D$ Ghost bottleneck and then replace the convolution layers in GwcNet with 2$D$ and 3$D$ Ghost bottlenecks. Compared with GwcNet-g, the number of model parameters of our architecture is reduced about 4.3 times. The proposed GhostStereoNet's performance has been demonstrated to remain competitive with the most advanced models, as evidenced by experimental results. © 2024 IEEE.

关键词： Stereocenters

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A Metaverse Platform for Air Pollution Analysis in Supporting Smart and Sustainable City Development 11

A Metaverse Platform for Air Pollution Analysis in Supportin...

引用

IEEE 11th international conference on Data science and advanced Analytics (DSAA)

作者： Armijos, Juan C. Avagyan, Garik Leung, Carson K. Tabuzo, Jasmine J. Teodocio, Aivee F. Univ Manitoba Dept Comp Sci Winnipeg MB Canada

ISBN: (纸本)9798350364941;9798350364958

In today's data-centric world, analyzing vast volumes of diverse and complex information has paved the way for uncovering valuable insights. These extensive datasets are often known as big data. Big data find application in various fields such as healthcare, gaming, financial markets, and business intelligence. Additionally, analyzing big data can contribute to enhancing environmental sustainability, as well as city planning and development. On the one hand, air pollution in urban areas is frequently identified as a major factor negatively affecting human health, with vehicle emissions being a significant contributor to poor air quality. On the other hand, increased greenspace and vegetation positively contribute to better air quality. In this paper, we present a data science and advanced analytics solution-specifically, a metaverse platform-to examine the relationship between urban factors and air quality. Our solution leverages data mining and visualization techniques in a metaverse platform to extract meaningful insights. Moreover, we analyze real traffic data from a mid-size Canadian city to guide our study. The findings from this data science research can inform practical strategies-such as promoting green infrastructure and implementing zoning policies-towards building and development of smart and sustainable cities.

关键词： data science advanced analytics smart city data analytics metaverse air quality air pollution vehicle emissions traffic flow greenspace vegetation

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A Novel Key Generation Algorithm Utilizing Lattice-Based Cryptography Principles 3rd

A Novel Key Generation Algorithm Utilizing Lattice-Based Cry...

引用

3rd international conference on Computing and Communication Networks, ICCCN 2023

作者： Arul, Rajakumar Sivaselvam, B. Choudhary, Ankush Centre for Smart Grid Technologies Vellore Institute of Technology Chennai India Department of Computer Science and Engineering IIITDM Kancheepuram Chennai India School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9789819726707

Technology advancement is inevitable, and it has created a revolution in all the sectors creating huge opportunities. Artificial intelligence and machine learning have boosted the advancement of all the sectors making the life easier and comfortable. On the other hand, these advancements highly depend on the connectivity through which all the terminals are communicating. Thus, all the technology developments depend on the communication paradigm, particularly on the wireless medium. Securing the information and infrastructure is crucial, and it demands highly complex problems that cannot be breached with high computation machines like quantum computer. The emergence of quantum computer has made all the existing cryptographic algorithms vulnerable creating a space for advanced algorithms that are safe from quantum computer attacks. Key generation is the foundational process of any cryptographic algorithm, and in this research, we propose a novel key generation mechanism based on lattice using mathematical functions. The proposal is evaluated using theoretical assumptions, and it is found to be safe and secure. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Encryption algorithms

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Enhancing the Analysis of Interdisciplinary Learning Quality with GPT Models: Fine-Tuning and Knowledge-Empowered Approaches 25th

Enhancing the Analysis of Interdisciplinary Learning Quality...

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25th international conference on Artificial Intelligence in Education (AIED)

作者： Zhong, Tianlong Cai, Chang Zhu, Gaoxia Ma, Min Nanyang Technol Univ 50 Nanyang Ave Singapore 639798 Singapore

ISBN: (纸本)9783031643118;9783031643125

Assessing the interdisciplinary learning quality of student learning processes is significant but complex. While some research has experimented with ChatGPT for qualitative analysis of text data through crafting prompts for tasks, the in-depth consideration of task-specific knowledge, like context and rules, is still limited. The study examined whether considering such knowledge can improve ChatGPT's labeling accuracy for interdisciplinary learning quality. The data for this research consists of 252 online posts collected during class discussions. This study utilized prompt engineering, fine-tuning, and knowledge-empowered approaches to evaluate student interdisciplinary learning and compare their accuracy. The results indicated that unmodified GPT-3.5 lacks the capability for analyzing interdisciplinary learning. Fine-tuning significantly improved the models, doubling the accuracy compared to using GPT-3.5 with prompts alone. Knowledge-empowered approaches enhanced both the prompt-based and fine-tuned models, surpassing the researchers' inter-rater reliability in assessing all dimensions of student posts. This study showcased the effectiveness of combining fine-tuning and knowledge-empowered approaches with advanced language models in assessing interdisciplinary learning, indicating the potential of applying this method for qualitative analysis in educational settings.

关键词： GPT Prompt engineering Fine-tuning Interdisciplinary learning Qualitative coding

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