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检索条件"任意字段=International Conference on Automation and Computing"

共 27732 条记录，以下是141-150 订阅

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Research on the Application of Cloud-Edge Collaborative computing Model in IoT Scenarios 2

Research on the Application of Cloud-Edge Collaborative Comp...

引用

2nd IEEE international conference on Electrical, automation and Computer Engineering, ICEACE 2024

作者： Ma, Shuo Shandong University of Political Science and Law Business School Jinan China

ISBN: (纸本)9798350368208

This project studies the cloud-edge collaboration model for typical IoT scenarios such as smart homes. First, this paper intends to combine cloud computing technology with the low-latency characteristics of edge computing to improve real-time performance and data processing efficiency. Then a cloud computing-edge collaboration framework suitable for IoT applications is proposed. After the initial data processing is completed at the border node, the data that needs to be deeply analyzed is uploaded to the cloud to achieve higher efficiency. Finally, the effectiveness of the proposed algorithm is verified through simulation experiments. Experiments have shown that compared with traditional cloud computing models, the data processing speed, latency and bandwidth utilization of cloud-edge collaborative computing have been significantly improved. Especially in smart home systems, this model can effectively interact between devices and meet real-time needs. After precise data analysis and simulation calculations, it is proved that this method is effective and feasible. © 2024 IEEE.

关键词： Cloud-edge collaboration edge computing Internet of Things real-time data processing smart home

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Automatic Tool for Translating Sum-of-Product Expressions into Behavior-Level CIM Circuits 11

Automatic Tool for Translating Sum-of-Product Expressions in...

引用

11th IEEE international conference on Consumer Electronics - Taiwan (ICCE-Taiwan) - Empower of Innovative Consumer Technology

作者： Chen, Ting-Hao Huang, Shih-Hsu Cheng, Chuan-Han Jeng, Li-Der Chung Yuan Christian Univ Dept Elect Engn Taoyuan Taiwan

ISBN: (纸本)9798350386851;9798350386844

In the current design of SRAM-based computing-in-memories (CIMs), each CIM unit can typically only perform low-precision multiplications. Accomplishing higher-precision sum-of-product (SOP) operations requires multiple CIM units coupled with peripheral circuits like adders. This paper presents an automatic tool capable of translating SOP expressions into corresponding CIM circuits in behavior-level descriptions. Consequently, the CIM circuits can be integrated with other circuits for behavior-level simulation. Experimental results demonstrate that our tool can successfully perform the translation.

关键词： behavior simulation design automation in-memory computing logic design multiply accumulate

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On Software Security of Building automation Systems

On Software Security of Building Automation Systems

引用

2025 international conference on computing, Networking and Communications, ICNC 2025

作者： Morales-Gonzalez, Christopher Harper, Matthew Yuan, Boya Fu, Xinwen University of Massachusetts Lowell United States

ISBN: (纸本)9798331520960

Building automation systems (BASs) provide convenience and comforts to building occupants, may optimize building management and energy consumption, and is part of the critical civil infrastructure - building. However, real-world attacks have been deployed against BASs. Our survey has identified software security is least studied. Our preliminary study has discovered tens of vulnerabilities in BAS devices and management software. This paper tries to gives a big picture of approaching BAS software security. We will focus on fuzzing, a natural way of identifying vulnerabilities of BAS device firmware and management software. We will introduce the fuzzing concepts and fuzzing tools. A case study of fuzzing a BACnet Secure Connect testbed is presented to demonstrate how to approach BAS fuzzing. © 2025 IEEE.

关键词： Firmware

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2025 international conference on automation and Computation, AUTOCOM 2025

2025 International Conference on Automation and Computation,...

引用

3rd IEEE international conference on automation and Computation, AUTOCOM 2025

ISBN: (纸本)9798331542375

The proceedings contain 296 papers. The topics discussed include: integrating automation and sustainability: Arduino-based solar panel cleaning system for renewable energy optimization;utilizing transforming portfolio management through automation using advanced deep reinforcement learning algorithms for optimized investment strategies;leveraging quantum computing for multi-criteria decision analysis in strategic business planning;secure multi-party computation for privacy preservation in collaborative networks;integration of continuous improvement approach in sustainable e-government services towards citizen satisfaction in health sector development of conceptual model;unlocking scholarly insights using deep learning-based evaluation method for research impact assessment in academic institutions;balancing technology with pedagogy in smart classrooms for English language;empirical study to select a place to stay in NCR area using data mining and machine learning;and the impact of ultra-wideband sensors in industrial automation and robotics applications.

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Deploying Reinforcement Learning Approaches for Smart Home automation 15

Deploying Reinforcement Learning Approaches for Smart Home A...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Sen, Amit Prakash Goyal, Manish Kumar Shalini Arka Jain University Department of Electrical & Electronics Engineering Jharkhand Jamshedpur India Vivekananda Global University Department of Computer Science & Application Jaipur India Department of Management School of Mangement - Pg Karnataka Bangalore India

ISBN: (纸本)9798350370249

Reinforcement mastering is an area of synthetic intelligence that enables machines to adopt actions that optimize their environment or maximize a pre-defined reward. This paper investigates the potential makes use of reinforcement studying for clever domestic automation. Some of distinctive algorithms had been advanced that leverage reinforcement getting to know strategies for clever houses. The paper discusses the advantages of using reinforcement learning for optimizing electricity consumption, increasing comfort, and presenting protection as well as the potential challenges of such deployment. The paper also evaluations several present reinforcement studying-based totally methods applicable for smart domestic automation and highlights ability studies possibilities to address present methodological gaps in an effort to enable the reliable deployment of reinforcement getting to know for clever domestic automation. © 2024 IEEE.

关键词： Deployment Distinctive Domestic Methodological Potential Protection Reinforcement

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AUTONODE: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI automation 29

AUTONODE: A Neuro-Graphic Self-Learnable Engine for Cognitiv...

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29th international conference on automation and computing (ICAC)

作者： Datta, Arkajit Verma, Tushar Chawla, Rajat Mukunda, N. S. Bhola, Ishaan SuperAGI Res Palo Alto CA 94306 USA

ISBN: (纸本)9798350360882;9798350360899

In recent advancements within the domain of Large Language Models (LLMs), there has been a notable emergence of agents capable of addressing Robotic Process automation (RPA) challenges through enhanced cognitive capabilities and sophisticated reasoning. This development heralds a new era of scalability and human-like adaptability in goal attainment. In this context, we introduce AUTONODE (Autonomous User-interface Transformation through Online Neuro-graphic Operations and Deep Exploration). AUTONODE employs advanced neuro-graphical techniques to facilitate autonomous navigation and task execution on web interfaces, thereby obviating the necessity for predefined scripts or manual intervention. Our engine empowers agents to comprehend and implement complex workflows, adapting to dynamic web environments with unparalleled efficiency. Our methodology synergizes cognitive functionalities with robotic automation, endowing AUTONODE with the ability to learn from experience. We have integrated an exploratory module, DoRA (Discovery and mapping Operation for graph Retrieval Agent), which is instrumental in constructing a knowledge graph that the engine utilizes to optimize its actions and achieve objectives with minimal supervision. The versatility and efficacy of AUTONODE are demonstrated through a series of experiments, highlighting its proficiency in managing a diverse array of web-based tasks, ranging from data extraction to transaction processing. The implementation of our paper can be accessed at :https://***/TransformerOptimus/AutoNode

关键词： Self-Operating Computer Generative AI LLMs Transformers Vision-Transformers Graphs Reinforcement Learning

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Smart Home automation Using AI and IoT with High Security 2

Smart Home Automation Using AI and IoT with High Security

引用

2nd international conference on Advancements in Smart, Secure and Intelligent computing, ASSIC 2024

作者： Rani, K. Pushpa Sreedevi, Pogula Veeranjaneyulu, P. Kanth, M. Ravi Allam, Sangeetha Mohanty, Jnyana Ranjan Mlr Institute of Technology Department of Computer Science Engineering Hyderabad500043 India G.Pulla Reddy Engineering College Department of Computer Science and Engineering Kurnool518007 India and Ai&ds Hyderabad India Vnr Vignana Jyothi Institute of Engineering and Technology Department of Cse Hyderabad India Mlr Institute of Technology Department of Computer Science & Engineering Hyderabad India Kalinga Institute of Industrial Technology University India

ISBN: (纸本)9798350370188

A well-known and widely utilized technology is smart home automation. The project's primary goal is to create an android-based, Wi-Fi enabled home automation which makes our daily life simpler and easier. in every automation technology which uses internet of things which is a developing network of common items that can share information and carry out tasks while you are occupied with other activities, from industrial machinery to consumer goods. A system known as a Wireless Home automation System (WHAS) integrating AI & IOT allows users to remotely control common home features and operations using PCs or mobile devices. Both human and electric energy are to be conserved. Because it permits, there is a difference between other systems and home automation systems. © 2024 IEEE.

关键词： automation

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Investigating the Effects of AI-Driven Systems on Data Science automation 15

Investigating the Effects of AI-Driven Systems on Data Scien...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Senthilkumar, K.K. Mehta, Pradnya S. Pandey, Megha Rao, Panduranga M.V. Singh, Baldev Khurana, Saniya Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai127 India Department of Computer Engineering Vishwakarma Institute of Information Technology Pune India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Karnataka Bangalore India Department of Computer Science & Engineering Vivekananda Global University Jaipur India Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and technology Chitkara University Punjab India

ISBN: (纸本)9798350370249

This article investigates the effect of AI-driven structures on the automation of information science. AI-pushed structures and automation of records technology have ended up an increasing number of essential because of the growing complexity of information and the numerous and ever-increasing data resources in today's digital international. This text explores the approaches in which AI-driven structures have converted how records technology is being computerized and the way it has impacted the method. Moreover, the article looks at the benefits and shortcomings of AI-driven structures in terms of automation of data science as well as the various regions which are still open for research that allows you to, in addition, improve the automation of information technology. Finally, the article proposes future study guidelines in this field, allowing the continued development of AI-driven records science automation. ©2024 IEEE.

关键词： automated information proposes shortcomings transformed

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Robotic Process automation: In-Depth Analysis of Advanced automation Techniques and Technologies 2

Robotic Process Automation: In-Depth Analysis of Advanced Au...

引用

2nd IEEE international conference on Contemporary computing and Communications, InC4 2024

作者： Jyothi, A.P. Shankar, Anirudh Narayan, Ashwath Maniyar, Humayun Nagavi, N. Ambarkhane, Shreeganesh Ramaiah University of Applied Sciences Faculty of Engineering &Technology Dept. of CSE Karnataka Bengaluru India

ISBN: (纸本)9798350383652

Robotic Process automation (RPA) is a revolutionary technology that has swiftly transformed the landscape of modern business operations. RPA leverages software robots to automate repetitive, rule-based tasks, offering organizations the potential to enhance efficiency, reduce operational costs, and liberate human workers from mundane chores. This comprehensive research paper delves into the multifaceted realm of RPA, providing an extensive examination of its definition, applications across diverse industries, and its multitude of benefits and challenges. The paper also scrutinizes the prospects of RPA, emphasizing the integration of cognitive and artificial intelligence, the concept of hyper-automation, and its role in Industry 4.0 and the Internet of Things. Moreover, it addresses the ethical considerations surrounding RPA adoption, focusing on job displacement, data privacy, bias, transparency, and accountability. As businesses navigate the path to automation, this paper offers invaluable insights into RPA's transformative potential and its implications for the future of work and industry. © 2024 IEEE.

关键词： Ethical technology

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automation Design and Application of Electrical Control Systems in Industrial Production 6

Automation Design and Application of Electrical Control Syst...

引用

6th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2024

作者： Yu, Wenduo Guo, Zongjin Suo, Pengxiang Sang, Maolin Pan, Huiyang Song, Ziyi State Grid Yingkou Power Supply Company Yingkou China

ISBN: (数字)9798350374315

ISBN: (纸本)9798350374315

This research aims to explore the automation design principles, technical architecture and application process of electrical control systems in industrial production. This paper evaluates the impact of automation design on production efficiency and safety through detailed analysis of system planning and demand analysis, integration and programming, debugging and trial operation, and maintenance and optimization. The results show that system optimization significantly improves the average utilization rate and output of the production line, and reduces the incidence of equipment failures and accidents. It is concluded that the automated design and application of electrical control systems can effectively improve production efficiency and safety, and provide reliable technical support for efficient operation and resource optimization of industrial production. © 2024 IEEE.

关键词： Electrical efficiency

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