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A Solution for conference Room Cluster Audio System Based on Distributed Architecture 27

A Solution for Conference Room Cluster Audio System Based on...

引用

27th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed computing (SNPD)

作者： Xu, Xiaoyi Zhang, Xin Wei, Zenglai Commun Univ China Sch Mus & Recording Arts Beijing Peoples R China Commun Univ China Sch Comp & Cyber Sci Beijing Peoples R China

ISBN: (纸本)9798350391961;9798350391954

With the rapid development of information technology, people have put forward higher requirements for the audio-visual experience and usage functions of conference spaces. The traditional, single-function conference room configuration can no longer adapt to the diverse needs of modern work and interactive activities. How to achieve efficient management and control, seamless interconnection, and resource sharing of audio systems across spaces, while ensuring the acoustic characteristics and flexibility of each independent space, has become a core issue that needs to be urgently resolved in building a multi-hall, multi-functional conference room cluster. Based on the audio system project of the Academic Center of the communication University of China, this paper proposes a solution for a conference room cluster audio system based on a distributed architecture. This solution not only overcomes the limitations of traditional systems in terms of scalability, collaborative work, and resource scheduling but also promotes lossless transmission, real-time processing, and adaptive configuration of audio signals. Thus, it ensures the consistency and high quality of the audio experience within the entire cluster, providing practical guidance for the design and optimization of future conference room audio systems.

关键词： AoIP distributed architecture conference space cluster audio system

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A Load-balancing method for high performance cluster computing system 3

A Load-balancing method for high performance cluster computi...

引用

3rd IEEE international conference on Electronic Technology, communication and Information, ICETCI 2023

作者： Xu, Zhenpeng Yin, Jinyong Li, Weiwei Automation Research Institute Department of Computer Jiangsu Lianyungang China

ISBN: (纸本)9798350398410

Load-balancing is an important technology in high-performance cluster system, and the performance of the system can be improved by adjusting the task load of cluster nodes. Considering the factors of the computer itself and the current load status of the computer, a dynamic Load-balancing method based on capacity evaluation is designed. Through decentralized collection and centralized management of load status information, cluster nodes collect load information when their status changes and report it to the control node. The control node obtains a computer capacity evaluation according to the difference between the maximum processing capacity of the computer itself and the current load capacity of the computer, and forms a capacity evaluation vector table. Finally, this vector table is used as the basis of Load-balancing algorithm. In addition, in order to balance the system load more effectively, service scheduling is used to realize the initial distribution balance of system services. Using task migration to realize the dynamic adjustment of system load. Compared with other existing Load-balancing methods, the proposed dynamic Load-balancing method shortens the service response time, reduces the extra overhead caused by system Load-balancing, and can improve the performance of the cluster. © 2023 IEEE.

关键词： Cluster computing

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A Framework for Smart City Implementation using IoT-Cloud Based System Architecture 2

A Framework for Smart City Implementation using IoT-Cloud Ba...

引用

2nd IEEE international conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Dankan Gowda, V. Prasad, K.D.V. De, Tanmoy Srinivas, Ved Anil Kumar, N. Tejpal Moharekar, Tejashree Bms Institute of Technology and Management Department of Electronics and Communication Engineering Bangalore India Hyderabad India Symbiosis Institute of Business Management Hyderabad Pune India Public Policy Thiagarajar School of Management Madurai India School of Engineering and Technology Department of Electronics and Communication Engneering Tirupati India Yashwantrao Chavan School of Rural Development Shivaji University Computer Department Maharashtra Kolhapur India

ISBN: (纸本)9798350347456

The Internet, a key participant (world wide web) in worldwide information exchange and media sharing, has experienced cumulative upgrades, developments, and given up consequent product IOT, making technology affordable and practical for all uses. Research development includes smart sensors, a communication channel and protocols for exchanging data, and peripherals like an Arduino, a Texas Instruments MSP430G2553, a Weather-proof Tx. Rx. Kit (for exchanging data), a Data Receptor and Decoder Shield for Lab View Kit (for exchanging data), an addressing and de-addressing data module, a communication shield, etc. It is now possible to communicate from a desktop computer or an Android smartphone to a portable device that has an embedded device, such as a microcontroller, a microprocessor, or a sensor. In other words, IOT combines always-on networking, always-on computation, and always-on intelligence. The Internet of Things facilitates communication between the central hub (fitted with a Lab-View interface) and the distributed modules (found in places like parks, subways, and highways) that control the lights. The Internet of Things is also useful for keeping the overall cost of setup and maintenance within reasonable economic bounds. The planned development takes into account IoT on two main scales: city-wide automation (also known as smart city) and home-level automation (also known as covering up). © 2023 IEEE.

关键词： Smart city

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Autonomous robot control using hardware accelerated implementation of fuzzy interpolation 24

Autonomous robot control using hardware accelerated implemen...

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24th international Carpathian control conference, ICCC 2023

作者： Bartok, Roland Vasarhelyi, Jozsef Institute of Automation and Info-Communication University of Miskolc Miskolc Hungary

ISBN: (纸本)9798350310221

The FIVE (Fuzzy Interpolation in Vague Environment) is a possible method for behavior based control. Mobile robots can be also controlled by a behavior based controller. In addition to software implementations, FIVE also has a hardware implementation, which was implemented in FPGA (Field-Programmable Gate Array) using Verilog hardware description *** hardware implemented behavior control using the FIVE method was demonstrated on a line follower robot application, which is presented in this paper. © 2023 IEEE.

关键词： Mobile robots

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IoT based malaria website model using Digital Binary Code : A Mathematical Study 2

IoT based malaria website model using Digital Binary Code : ...

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2nd IEEE international conference on IoT, communication and automation Technology, ICICAT 2024

作者： Tripathi, Padmaja Chandra, Harish Keval, Ram Kesarvani, Atul Singh, Kundan Madan Mohan Malviya University of Technology Department of Mathematics and Scientific Computing Gorakhpur India MJP Rohilkhnad University Department of Applied Mathematics Bareily India Rajkiya Engineering College Department of Electronic Engineering India Rajkiya Engineering College Department of Electronics Engineering 231206 India

ISBN: (纸本)9798350368109

There has been a major increase in research on digitizing the disease's tracking systems. In the scientific community, automated screening for malaria is one of the detection methods that is becoming very common. Although the Fourth Industrial Revolution (4IR) has gained widespread acceptance, the treatment for malaria, one of the deadliest and most enduring diseases, has not evolved. Contextualization of malaria monitoring systems must be established at the national or regional level, and this requires process integration with other protocols. This study suggests a digital malaria monitoring system for a country or region in Africa. The development of a distinctive model for forecasting disease spread, grounded in the dynamics of various types of malaria, represents a significant benefit of this digital system. We analyze the SITRR (susceptible-infected-treated resistant-recovered) epidemic model of the illness's spread to produce a mathematical forecast and to define the design of the diagnosis system. © 2024 IEEE.

关键词： Diseases

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automation Industry control Strategy Implementation through Intelligent automation System 4

Automation Industry Control Strategy Implementation through ...

引用

4th IEEE international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Khurana, Meenu Alsalami, Zaid Deorari, Maha Medha Maheswari, G. Soujanya, K. Arunprasath, R. Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India The Islamic University Najaf Iraq Uttaranchal Institute of Pharmaceutical Sciences Uttaranchal University Dehradun India Hindustan Institute of Technology and Science Department of Information Technology Chennai603103 India Cmr College of Engineering & Technology Department of Eee India Sri Krishna College of Engg Eee Dept Tamilnadu Arakkonam India

ISBN: (纸本)9798350360165

The mobile network evolution of this century faces an unprecedented challenge upon the advent of 5G (fifth-generation) networks and beyond to cater to different demands on automation and digitization. Indeed, one expects that these networks will have to support a very heterogeneous set of services and devices with peculiar demands in terms of speed, reliability and latency. It is required to solve these issues with advanced technologies in radio transmission, resource allocation, and network creation, which in turn raises the complexity and heterogeneity of the network infrastructure. One promising approach is to integrate automation and digitization based on artificial intelligence technologies. In particular, AI has shown great potential in solving various network-related problems such as predicting channel conditions, optimizing resource allocations, autonomously managing networks, and enhancing security. However, the current efforts to integrate AI into wireless networks often result in using specific AI algorithms to solve specific problems, since there is a lack of an integral framework to fully exploit the capability of AI for various network missions. This work builds upon the concept of intelligence slicing and proposes an absolutely new way of slicing the intelligence module to cater to the solution of different network problems in an automated and digitized way. Different AI algorithms can, therefore, be applied to the best extent required by the context in a way that provides flexibility and scalability in network management and optimization. By means of intelligence slicing, the network operator is going to utilize AI functions to achieve performance, reliability, and security in 5G mobile networks and beyond. Two representative examples are introduced to illustrate the effectiveness of intelligence slicing: the neural network-dependent medium prediction mechanism and anomaly ascertainment from the perspective of industrial network security. The concept

关键词： 5G mobile communication systems

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Optimizing Robot Path Planning through Weighted Shortest Path based Djikstra's Algorithm: Navigating from Source to Goal in 2D Environment on Land 15

Optimizing Robot Path Planning through Weighted Shortest Pat...

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15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Saha, Shubhangi Rodrigues, Sharon B. Singh, Vipul Singh, Siddhant Verdhan, Geetansh Soni Pavithra, G. Manjunath, T.C. VII Sem Electronics & Communication Engineering Dayananda Sagar College of Engineering Karnataka Bangalore India Dept. of Electronics & Communication Engineering Dayananda Sagar College of Engineering Karnataka Bangalore India

ISBN: (纸本)9798331300579

The research introduces an advanced approach to robot path planning by incorporating Dijkstra's algorithm along with the inclusion of path weighting. The integration of path weights is designed to improve navigation efficiency from the starting point to the destination across diverse environments. This optimization aims to refine trajectory decisions and enhance overall performance, particularly in intricate and challenging scenarios. © Grenze Scientific Society, 2024.

关键词： Robot programming

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Distributed Tracking control and Obstacle Avoidance of Mobile Robots over Event-Triggered communication 6

Distributed Tracking Control and Obstacle Avoidance of Mobil...

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6th international conference on Robotics, control and automation Engineering, RCAE 2023

作者： Liu, Guoyong Qian, Moshu Bo, Cuimei Gao, Zhifeng College of Electrical Engineering and Control Science Nanjing Tech University NanJing China College of Automation and College of Artificial Intelligence NanJing University of Posts and Telecommunications NanJing China

ISBN: (纸本)9798350315301

This article studies the cooperative tracking control and obstacle avoidance problem for wheeled mobile robots (WMRs) under event-Triggered communication. The dynamics of WMRs are considered first. To handle the constraint that only part of the robots can access the leader, the distributed state estimators are designed. Then, an event-Triggered based tracking control and obstacle avoidance scheme is developed by utilizing a backstepping control technique and artificial potential field (APF). The stability of the closed-loop system is proved and Zeno behaviors are excluded. Finally, the simulation of three robots is implemented to illustrate the superiority of the presented scheme. © 2023 IEEE.

关键词： Mobile robots

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2024 IEEE 3rd international conference on control, Instrumentation, Energy and communication, CIEC 2024 - Proceedings

2024 IEEE 3rd International Conference on Control, Instrumen...

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3rd IEEE international conference on control, Instrumentation, Energy and communication, CIEC 2024

ISBN: (纸本)9798350313703

The proceedings contain 75 papers. The topics discussed include: design of a weather adoptive and traffic adoptive wireless LED street light control scheme;impedance measurement technique for vehicle battery health assessment using on-board CAN signals;a proficient cascaded filter design for image denoising by arithmetic optimization algorithm;classroom automation & protection;determining maximum rooftop solar penetration to mitigate voltage swelling in small-scale distribution systems;MicroNET: microarray image orientation predictor and automated data extraction;different cascaded modified forms of fractional order compensation for unstable non-minimum phase systems and plants with transport delay;realization of space vector pulse width modulation scheme for a quasi Z-source inverter in FPGA;and a comparative analysis on application of pi and LQR based control for speed tracking of a DC motor.

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Research on Fine Water Injection Flow Field Regulation Technology of Reservoir Based on Computer Neural Network Simulation

Research on Fine Water Injection Flow Field Regulation Techn...

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

作者： Geng, Ruijie Li, Minglin Wei, Yaqiong Li, Mingzhu Li, Guoyong Yu, Chenglin Jidong Oilfield Company PetroChina Hebei Province Tangshan City063000 China

ISBN: (纸本)9798350383348

The role of technical evaluation in the fine water injection flow field control technology of reservoirs is very important, but there is a problem of inaccurate evaluation of results. The traditional control technology cannot solve the technical evaluation problem in the fine water injection flow field control technology of reservoirs, and the evaluation is unreasonable. Therefore, this paper proposes a BP neural network algorithm for innovative technical evaluation and analysis. Firstly, the control theory is used to evaluate the technical personnel, and the indicators are divided according to the technical evaluation requirements to reduce the interference factors in the technical evaluation. Then, the control theory evaluates the technology of fine water injection flow field regulation of the reservoir, forms a technical evaluation scheme, and comprehensively analyzes the technical evaluation results. MATLAB simulation shows that under certain evaluation criteria, the technical evaluation accuracy and oil recovery of the fine water injection flow field control method of the reservoir by the BP neural network algorithm are better than those of the traditional control technology. © 2024 IEEE.

关键词： BP neural network algorithm control theory regulation technology water injection flow field

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