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Analysis of DC-DC Buck Converter using Hysteresis control 15

Analysis of DC-DC Buck Converter using Hysteresis Control

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

作者： Selvaraj, Senthilkumar Laxmi, Adepu Sangeetha Ketan, C. Avaneesh Department of Electronics and Instrumentation Engineering VNR Vignana Jyothi Institute of Engineering & Technology Hyderabad India Department of Electronics and Communication Engineering VNR Vignana Jyothi Institute of Engineering & Technology Hyderabad India

ISBN: (纸本)9798331300579

This paper examines the use of hysteresis control in a buck DC DC converter. It is highly responsive to momentary outages and variations in load, resulting in exceptional performance. Not requiring a closed loop payment system, the program is much less complex and requires fewer components. Results indicate that the hysteresis control converter responds rapidly and its design and use is straightforward. Thus, compared to other linear controllers or sliding mode controllers, the hysteresis control method is the most uncomplicated and swiftest form of program control. © Grenze Scientific Society, 2024.

关键词： DC-DC buck converter hysteresis control SM controller

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Exploring the Power of Software-Defined networking in Mobile Networks 15

Exploring the Power of Software-Defined Networking in Mobile...

引用

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

作者： Dhingra, Lovish Vinithra Banu, T. Goyal, Shobhit Hannah Jessie Rani, R. Suruchi, G. Hemelatha, S. Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Mechanical Engineering Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Electrical and Electronics Engineering Karnataka Bangalore India Vishwakarma Institute of Information Technology Department of Information Technology Pune India Karpagam Academy of Higher Education Department of Computer Science Engineering Coimbatore641021 India

ISBN: (纸本)9798350370249

software program-described networking (SDN) is an emerging technology that promises to revolutionize the manner networks are controlled, controlled and monitored. SDN lets in for the integration of various network elements and enables to automatism the community control system, resulting in an agile and flexible community. This paper explores the capability of SDN in cell networks, highlighting the advantages of SDN, in addition to the demanding situations that want to be addressed. We gift effects from our cell network experiments which illustrate the electricity of SDN in mobile networks;in particular, it's potential to streamline the network configuration method. Finally, we speak the results of enforcing SDN in cell networks, as well as destiny research instructions in this region. © 2024 IEEE.

关键词： Community Configuration Elements Enforcing Explores Method Networks Speak Various

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Towards Distributed control Under Deficient communication with Multi-agent Reinforcement Learning 20th

Towards Distributed Control Under Deficient Communication wi...

引用

20th EAI international conference on Mobile and Ubiquitous Systems - computing networking and Services (EAI MobiQuitous)

作者： Kummerow, Arne Weis, Torben Univ Duisburg Essen Bismarckstr 90 D-47057 Duisburg Germany

ISBN: (纸本)9783031639913;9783031639920

Multi-agent reinforcement learning solves optimization problems in sequential decision-making and enables controlling spatially distributed actuators. We consider a cooperative setting where agents can exchange information via a central controller, e.g. a cloud-based service. In real world applications however, communication channels are often error-prone and agents may become disconnected and can neither send its observation nor receive observations from other agents. We formalize this problem as a subclass of decentralized Markov decision processes and discuss the complexity of the problem. We then propose several solution concepts that involve breaking down the complexity by considering only a subset of failure scenarios, learning independent policies for each failure scenario, reconstructing missing information and learning policies that incorporate the state uncertainty in the training process.

关键词： MARL Dec-MDP Dec-POMDP communication Failure

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Enhancing Home Appliance Service by Improving Appliance control Unit Diagnostics Capability 15

Enhancing Home Appliance Service by Improving Appliance Cont...

引用

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

作者： Akotkar, Ankit Ashokrao Tare, Arti V. Bagam, Venkat COEP Technological University Department of Electrical Engineering Pune India Whirlpool of India Limited EESI Pune India

ISBN: (纸本)9798350370249

This paper presents an approach to increase the field service ability of home appliances by integrating advanced diagnostic capabilities into the Appliance control Unit (ACU). Traditional maintenance practices often face challenges like complexity of appliance system, unable to identify exact root cause, access to components individually and simply identifying and rectifying faults in home appliances, leading to increased prolonged downtime and increased service cost and customer dissatisfaction. To address these issues, this paper proposes the integration of current sensing and voltage sensing circuit within the feedback loop of the ACU, enabling real- time monitoring of electrical parameters during operation. So that it will make it easier for service engineers to identify the correct component of malfunctioning and their data. ACU interprets these sensor circuit data to diagnose various operational irregularities, including motor strain, pump blockages, and voltage fluctuations, short circuit, and open circuit. The data obtained from the current and voltage sensing circuit is fed into the microcontroller. Subsequently, establishing a connection with the service module through the wire port connector, a connection with phone through bluetooth, facilitating seamless communication between devices. The validity of the proposed method was verified by analyzing the simulation and experimental results. © 2024 IEEE.

关键词： Integrating circuits

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Exploring the Impact of Advanced Algorithmic Solutions on Quality control Practices of MNCs 15

Exploring the Impact of Advanced Algorithmic Solutions on Qu...

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

作者： Seth, Jyoti Kiran, K.S. Kumari, Sweta Vivekananda Global University Department of Computer Science & Engineering Jaipur India School of Engineering and Technology Department of Physics Karnataka Bangalore India Arka Jain University Department of Law Jharkhand Jamshedpur India

ISBN: (纸本)9798350370249

The fast evolution of technology and the availability of huge datasets have enabled the improvement of extra sophisticated algorithms and equipment to improve the efficacy of best management practices amongst multinational corporations (MNCs). Advanced algorithms, which include system getting-to-know and synthetic Intelligence (AI), have been used to improve the effectiveness of first-class manipulation within MNCs by automating techniques, detecting anomalies, optimizing useful resource allocation, and more. This paper explores the impact of advanced algorithmic answers on best management practices within MNCs. The research objectives are to have a look at the consequences of the usage of superior algorithms on the processes and practice of best control within MNCs. A case study method changed into follows that specializes in 3 big MNCs. A survey was carried out with first-class manage employees at every organization to determine their perceptions of advanced algorithms' impact. © 2024 IEEE.

关键词： Algorithms Management Manipulation Organization Perceptions Synthetic

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Managing Cloud Networks: A Classification of SDN-Enabled Clouds

Managing Cloud Networks: A Classification of SDN-Enabled Clo...

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2023 international conference on advances in Computation, communication and Information Technology, ICAICCIT 2023

作者： Singh, Vaishali Kehkeshan Jallal, S. Das, Sunanda Maharishi University of Information Technology Maharishi School of Engineering & Technology Uttar Pradesh India Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Faculty of Engineering and Technology Department of Computer Science Engineering Karnataka Bangalore India

ISBN: (纸本)9798350344387

The idea of separating the management plane from the data-forwarding gear was first introduced by Software-Defined networking (SDN), which has brought about a revolutionary new age in networking. This innovation makes networks programmable, flexible, and dynamically reconfigurable. These characteristics have great potential for the field of computer science in the cloud, where dynamic adjustments and reconfiguration are essential owing to on-demand consumption patterns. The many simulation and empirical assessment techniques that have been created expressly for SDN-enabled cloud settings are also highlighted by us. Finally, study conducted perform a critical review of the state of the research, highlighting gaps and suggesting possibilities for further study. © 2023 IEEE.

关键词： application framework cloud computing hardware resources programmable controller resource provisioning simulation and energy modeling Software-Defined networking (SDN)

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Enhancing Prosthetic Precision: Advanced Computer Vision Integration for Intuitive control of Artificial Limbs 15

Enhancing Prosthetic Precision: Advanced Computer Vision Int...

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

作者： Menon, Arjun Tumpudi, Hitesh Chaudhary, Gaurang Khanna, Manju Narayan, Mudragiri Nitish Department of Computer Science and Engineeing Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350370249

The field of rehabilitation and assistive devices is currently experiencing a shift, as prosthetic limbs, Internet of Things (IoT) and Artificial Intelligence (AI) technologies come together. This combination allows for real time communication enabling limbs to learn from movements thereby enhancing their functionality and usefulness. This innovative approach brings about a revolution in rehabilitation and personalized healthcare providing mobility and freedom. It clearly highlights the importance of our project. Our project is centered around advancing hand technology by incorporating cutting edge computer vision capabilities. This integration empowers users to grip and manipulate objects with precision addressing a requirement for individuals who have undergone amputation. Our primary objective is to restore a sense of normalcy and independence in their lives. By utilizing real time object detection and recognition we aim to establish an interface, between users and their prosthetic hands. The ultimate goal is to develop a user friendly system that significantly improves the functionality and versatility of prosthetic hands. Through this initiative we strive to enhance the quality of life for amputees by offering a solution that surpasses traditional assistive technologies. ©2024 IEEE.

关键词： Assistive technology

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Growing Agriculture: An All-encompassing Structure for Crop Disease Prediction and Ecological Handling 15

Growing Agriculture: An All-encompassing Structure for Crop ...

引用

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

作者： Mishra, Anand Kunal Kirar, Prithvi Singh Prabakeran, S. Abinaya, M. Srm Institute of Science and Technology Dept of Networking and Communication Tamilnadu Kattankulathur India

ISBN: (纸本)9798350370249

Agriculture is profoundly affected by crop diseases on a global scale, which endangers food security. It is vital to detect and control these diseases as soon as possible in order to protect crop yields. This research paper presents an allencompassing framework for the detection and management of crop diseases, which integrates sophisticated image analysis, machine learning, and conventional agricultural methods. Its principal emphasis is on the timely detection and efficient control of diseases. By employing a variety of data sources, including field surveys, remote sensing, and mobile applications, the methodology detects symptoms of diseases, evaluates their severity, and proposes effective management approaches. Case studies examining a range of commodities serve to illustrate the potential of the framework in terms of enhancing global food security, promoting agricultural sustainability, and improving crop health. In brief, this research article introduces an allencompassing structure for the identification and control of crop diseases, which incorporates sophisticated image analysis, machine learning, and conventional agricultural methods. It tackles the critical matter of early disease detection and effective management through the utilization of a wide range of data sources. Case studies serve as evidence of the potential of this technology to improve agricultural sustainability, worldwide food security, and crop health through the provision of individualized disease management approaches that decrease dependence on broad-spectrum pesticides. This endeavor represents a substantial stride in the direction of transforming agriculture in order to ensure a more sustainable future for food production. © 2024 IEEE.

关键词： Flask based detection Image analysis Machine Learning R-CNN Yolo

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A mathematical model for optimal scheduling of classes in a higher education institution 15

A mathematical model for optimal scheduling of classes in a ...

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

作者： Rashidova, Fatme Rashidov, Aldeniz Technical University of Gabrovo Department of Automation Information and Control Systems Gabrovo Bulgaria

ISBN: (纸本)9798350370249

Timetabling is essential for the organization and functioning of higher education institutions (HEIs). This complex task requires balancing various factors such as availability of teachers, availability of halls, huge number of students in each specialty and course, preferences and satisfaction of students and teachers (agents). Although it may seem like a routine administrative activity, the compilation of a timetabling is indeed a multi-criteria task and requires the use of algorithms and optimization methods. The aim of the timetabling is to ensure the optimal distribution of learning activities in time and space, ensuring efficient use of resources, priorities and meeting the needs of all participants in the learning process, namely the agents. A properly designed timetabling not only contributes to improving the academic success of the students but also facilitates the work of the teachers and administration of the university. In this context, the development of mathematical models and computer systems for the automated compilation of timetabling is crucial for the modern management of the educational process. These tools not only optimize the process of composing timetabling, but also provide opportunities for adaptation to changing needs and conditions in HEIs. © 2024 IEEE.

关键词： Students

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Second international conference on Informatics, networking, and computing, ICINC 2023

Second International Conference on Informatics, Networking, ...

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2nd international conference on Informatics, networking, and computing, ICINC 2023

ISBN: (纸本)9781510674745

The proceedings contain 42 papers. The topics discussed include: a lightweight image super-resolution network based on large receptive field information distillation;a classification model for signals of seismic events based on vision transformer;improved UNILM model based on keyword technique;a hospital positioning system based on BLE beacons;personalized differential privacy approach in the federated learning scenario;a power communication scheme integrating 5G network and SD-WAN;research on dynamic robust visual SLAM method based on deep learning;position control of mobile robot based on deep reinforcement learning;multi-modal deep feature fusion for superheat identification in aluminum electrolysis;and joint decision-making of communication waveform and power based on Q-Learning.

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