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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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Minimized Variance control of communication Delays for Markov Switching Channels in IIoT 28

Minimized Variance Control of Communication Delays for Marko...

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28th international conference on automation and computing, ICAC 2023

作者： Liu, Hui Dai, Xuewu Zhang, Qiwei Qin, Fei Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang China Northumbria University Faculty of Engineering and Environment Newcastle upon TyneNE1 8ST United Kingdom School of Electronics Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350335859

This paper mainly considers the wireless communication scenario where equipment in different working conditions switches its channel state in the actual industrial field. To address the problem of uncertain communication delays in wireless control systems, we model the randomness introduced by the inevitable multipath fading channels as a Markov process. The distribution of communication delays is controlled in a statistical sense, given the probability density function(PDF) of power gain under various channel states and the Markov transition matrix. Based on the principle of Shannon channel capacity, we propose an algorithm for controlling the shape of the PDF to find the optimal transmission power for each channel state in the sense of minimizing delay variance. Then the transmission power is adjusted according to the channel state in real-time, and the PDF shape of the communication delays is controlled to present a Gaussian distribution of minimized variance. Compared with the delay variance of 80 ms by using fixed transmission power, the simulation results show that the variance of the communication delays is reduced to 0.1 ms when the wireless channel states is known. © 2023 IEEE.

关键词： Markov processes

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Implementation of a Single Cycle Datapath for the Design of a Low-process control in XC3S500E 16

Implementation of a Single Cycle Datapath for the Design of ...

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16th international conference on Computer and automation Engineering (ICCAE)

作者： Lazaro, Jose B., Jr. Pabiania, Maribelle D. Bayonito, Cedric Lawrenze P. Cabit, Jhed Patrick M. Fernando, Kate Carolyn L. Jocson, John Rafael L. Park, Adrian Kuk Chong S. Pinera, Clarenzz Bryan S. Roll, Angelica C. Solis, Kim Kerwin L. Mapua Malayan Coll Laguna Cabuyao City Philippines

ISBN: (纸本)9798350370058;9798350370164

this paper outlines the design of a low-process control system for embedded systems applications, utilizing a RISC-V processor. The design incorporates functional units of a single-cycle Datapath and a control unit developed in Verilog HDL. Focus on testing RISC-V instructions to achieve low-process control in embedded systems applications by employing proper instruction mnemonics. The approach enhances the low-process control and efficiency in embedded systems applications and system design through single-cycle control. The designed low-process control proves valuable by computing the processor time (T) needed in instruction execution. Low-process control 1 exhibits an 88.21% improvement over an AVR processor control, and low-process control 2 demonstrates a 49.43% improvement, thereby ensuring efficient process control. The findings contribute to the understanding of RISC-V architecture implementation in an FPGA platform, featuring LED visualization to depict equivalent machine code generated in a single-cycle process. This study advances the theoretical framework of system optimization and control with the use of FPGA platforms.

关键词： risc-v single-cycle datapath spartan 3e xc3s500e fpga avr low-process control

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Optimizing Real-Time Process control through Cloud-Based automation and Big Data Analysis 15

Optimizing Real-Time Process Control through Cloud-Based Aut...

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

作者： Raghu, N. Mahajan, Rupali A. Sivanantham, A. Bareja, Lakshay Rayaguru, N.K. Ganesh, Reddy School of Engineering and Technology Electrical and Electronics Engineering Karnataka Bangalore India Vishwakarma Institute of Information Technology Department of COMP Pune India Karpagam Academy of Higher Education Department of Mechanical Engineering Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Prince Shri Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology Department of EEE Chennai India UTAS-IBRI Department of Engineering and Technology Oman

ISBN: (纸本)9798350370249

The complexity of absolute time process control in industries has increased. Despite this, these processes generally involve significant quantities of data that must be analyzed and controlled quickly to maintain the cadence necessary for sound decision-making. It will all intersect at a higher level when cloud-based automation meets extensive data analysis for an overall jump in real-time process control. With cloud-based automation, routines can be monitored and managed off-plot in real time changes the process to do optimization quickly. As the system is capable of automatically rectifying errors when those occur, a time intensive manual monitoring and intervention will be reduced drastically. Further, being a cloud-based platform, it can collect and store large data streams, allowing big-data analytics practices to be applied. Big data analysis will enable organizations to recognize patterns and trends in the process, which is a significant source of value for insights on optimizing it. In addition to this, proactive maintenance can done and costly down times that result due to breakdowns before they happen through predictive analysis as potential failures or anomalies are much smoother. This model means that data has cross-department function and usage through the cloud, leading to more excellent optimization and better decision-making. © 2024 IEEE.

关键词： Data Analytics

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Review of intermediate representations for quantum computing

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JOURNAL OF SUPERcomputing 2025年第2期81卷 1-21页

作者： Cardama, F. Javier Vazquez-Perez, Jorge Pineiro, Cesar Pichel, Juan C. Pena, Tomas F. Gomez, Andres Univ Santiago Compostela Ctr Singular Invest Tecnoloxias Intelixentes CiTIU Santiago De Compostela 15782 Galicia Spain Univ Santiago Compostela Dept Elect Comp Santiago De Compostela 15705 Galicia Spain Galicia Supercomp Ctr CESGA Santiago De Compostela 15705 Galicia Spain

Intermediate representations (IRs) are fundamental to classical and quantum computing, bridging high-level quantum programming languages and the hardware-specific instructions required for execution. This paper reviews the development of quantum IRs, focusing on their evolution and the need for abstraction layers that facilitate portability and optimization. Monolithic quantum IRs, such as QIR (Lubinski et al. in Front Phys 10:940293, 2022. https://***/10.3389/fphy.2022.940293), QSSA (Peduri et al. in Proceedings of the 31st ACM SIGPLAN international conference on compiler construction. CC 2022. Association for computing Machinery, New York, 2022), or Q-MLIR (McCaskey and Nguyen in Proceedings-2021 IEEE international conference on Quantum computing and Engineering, QCE, 2021), their effectiveness in handling abstractions, and their hybrid support between quantum-classical operations are evaluated. However, a key limitation is their inability to address qubit locality, an essential feature for distributed quantum computing (DQC). To overcome this, InQuIR (Nishio and Wakizaka in InQuIR: Intermediate Representation for Interconnected Quantum Computers, 2023. https://***/abs/2302.00267) was introduced as an IR specifically designed for distributed systems, providing explicit control over qubit locality and inter-node communication. While effective in managing qubit distribution, InQuIR's dependence on manual manipulation of communication protocols increases complexity for developers. NetQIR (V & aacute;zquez-P & eacute;rez et al. in NetQIR: An Extension of QIR for Distributed Quantum computing, 2024. https://***/abs/2408.03712), an extension of QIR for DQC, emerges as a solution to achieve the abstraction of quantum communications protocols. This review emphasizes the need for further advancements in IRs for distributed quantum systems, which will play a crucial role in the scalability and usability of future quantum networks.

关键词： Intermediate representation Quantum compiling Distributed quantum computing Compilers

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Low-Cost Speech to Text Translation Handwriting Robot using Arduino and Google API 14

Low-Cost Speech to Text Translation Handwriting Robot using ...

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14th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2023

作者： Ramya, M.V. Tippannavar, Sanjay S. Department of Robotics and Automation JSS Academy of Technical Education Bengaluru India Department of Electronics and Communication Engineering JSS Science and Technological University Mysuru India

Among all forms of communication, writing is the most popular and universally recognised. Writing proficiency is thus crucial for reaching professional and corporate objectives. Unfortunately, it could be difficult in unique situations involving persons with varied abilities. The solution is to carry out the writing job utilising a robotic arm (SCARA). Writing an alphabet in both English and a regional language will be made possible by automation. The hardware and software requirements for building a robot that can do a task that is typically completed by a portable pen are covered in this paper. © Grenze Scientific Society, 2023.

关键词： Speech recognition

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Unfolding Finance 4.0 through Digital Innovation and Financial automation 5

Unfolding Finance 4.0 through Digital Innovation and Financi...

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5th IEEE international conference on Advances in computing, communication control and Networking, ICAC3N 2023

作者： Singh, Ardhendu Shekhar Pillai, Deepa Doifode, Adesh Bhosale, Trupti Symbiosis School Of Banking And Finance Pune India

ISBN: (纸本)9798350330861

The financial services sector in India has leveraged the power of Industry 4.0 extensively on account of digital innovation and automation of financial processes. The rising competition in the financial services sector has compelled financial institutions to create value for their customers through new service offerings. To participate and prosper in the challenging business environment, traditional banks have to build new value propositions and business models for a leading edge. Digital technologies such as the cloud, the Internet of Things (IoT), analytics, automation, robotics, and artificial intelligence are the enablers of transformation in financial services. Fintech innovations coupled with mass personalisation and product customisation have led financial institutions to embark on the adoption of technology-led change. The paper aims to study the adoption of digital technologies by financial institutions to expand their scope and outreach of personalised services to enhance customer value. © 2023 IEEE.

关键词： Finance

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Conflict Management based on Deep Reinforcement Learning for Edge computing in Intent-Driven Networks 20

Conflict Management based on Deep Reinforcement Learning for...

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20th IEEE international Wireless communications and Mobile computing (IEEE IWCMC) - Green and Intelligent communications

作者： Li, Zhen Gong, Jialong Wang, Dong China Telecom Res Inst Beijing Peoples R China Beijing Univ Posts & Telecommun Beijing Peoples R China

ISBN: (纸本)9798350361261;9798350361278

In recent years, the Intent-driven Network (IBN) has been proposed to further enhance the intelligence of communication systems. In IBN, users can express their resource expectations through intents while the IBN performs resource scheduling to fulfill these intents. Many challenges of complex networks can be tackled by IBN such as the mobile edge computing (MEC) system. In a MEC system, limited computing resources are competed by the users which may cause the intent conflict. To solve this, in this paper, we introduce the IBN concept to the MEC system, where an intent conflict detection module is proposed. The proposed module is based on the Open Network automation Platform (ONAP) architecture. Moreover, by formulating the computing resource conflict problem as a Markov decision process (MDP) model, we employ an improved deep Qnetwork (DQN) algorithm to improve the efficiency of resource utilization. Simulation results demonstrate the completion time of intents is remarkably reduced in the proposed intent conflict resolution scheme.

关键词： Intent conflict MEC Reinforcement learning

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Research on Garbled Circuits-Based Identity Authentication and Ciphertext Hidden Access control in Vehicular Networks 24

Research on Garbled Circuits-Based Identity Authentication a...

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9th international conference on Cloud computing and Internet of Things, CCIOT 2024

作者： Jiao, Zhilong Bai, Fenhua Zhang, Chi Zhang, Xiaohui Gong, Bei Faculty of Information Engineering and Automation Kunming University of Science and Technology China Kunming China Department of Computing Beijing University of Technology China Beijing China

ISBN: (纸本)9798400717161

Since most communications in vehicular networks rely on wireless transmissions, information broadcast by vehicles is highly susceptible to interception and eavesdropping by third parties, making it vulnerable to various attacks. This can result in communication messages being tampered with and the leakage of vehicle locations and identity privacy. From a security perspective, this paper introduces Yao's garbled circuit mechanism, combining random bytes with the solutions of linear equations as identity information assigned to vehicle nodes. By employing dual authentication, the proposed approach addresses issues such as privacy protection, anonymity, replay attacks, and collusion attacks in vehicular networks, thereby enhancing security. Moreover, considering the post-authentication access control scenario, this paper proposes a novel LSSS matrix transformation algorithm for ciphertext hidden access control strategy. It realizes a partially hidden policy, which makes matrix generation more efficient by supporting both AND and OR gates, thus improving the access control efficiency while ensuring security. Performance analysis indicates that in terms of identity authentication, the scheme reduces computational costs by an average of 96.25%, and in access control, the scheme reduces key generation time by an average of 80%. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Ciphertext

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Optimized Coordinated Resource Allocation and Power control for Wireless communication Networks 7

Optimized Coordinated Resource Allocation and Power Control ...

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7th international conference on Artificial Intelligence, Big Data, computing and Data communication Systems (ICABCD)

作者： Daniel, Lucky Oghenechodja Singh, Ghanshyam Mashao, Daniel Olukanmi, Peter Univ Johannesburg Dept Elect & Elect Engn Sci Johannesburg South Africa

ISBN: (纸本)9798350387919;9798350387902

This paper investigates an optimized approach to coordinated resource allocation and power control for wireless communication networks. To address limitations in existing methods, such as scalability and fairness, a novel algorithm is implemented that leverages federated learning regression-based decision trees to achieve efficient resource allocation and improved network performance. The system model considers a dense communication network with different user equipment types and incorporates constraints like power limitations and quality of service requirements. Simulation results demonstrate that the implemented approach significantly outperforms existing techniques in terms of throughput, energy efficiency, and latency.

关键词： Resource Allocation Power control Decision Trees Federated Learning

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