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检索条件"任意字段=1st International Conference on Intelligent Computing in Control and Communication, ICCC 2020"

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1st international conference on intelligent computing in control and communication, iccc 2020

1st International Conference on Intelligent Computing in Con...

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1st international conference on intelligent computing in control and communication, iccc 2020

ISBN: (纸本)9789811584381

The proceedings contain 53 papers. The special focus in this conference is on intelligent computing in control and communication. The topics include: A Comparative study of Unit Commitment Problem by Dynamic Programming and Genetic Algorithm;Robust Fuzzy Logic controller for DC Motor stability Enhancement Under Load Disturbances;optimal Scheduling for Delay Management in Railway Network Using Hybrid Bat Algorithm;optimal Rescheduling of Real Power to Mitigate Congestion Using Elephant Herd Optimization;preface;A Fuzzy-Based stATCOM controller for Grid Interconnection of Fuel System to Improve Power Quality;adiabatic Logic-Based Area- and Energy-Efficient Full Adder Design;Comparative Analysis of Rapid Single Flux Quantum (RSFQ) Circuit Technique Multipliers;techno-Economic Material Demand-Based Model in Plastic Waste Management Using Metaheuristic Algorithms;breaking Down and Reduplication of Information in Cloud for Best Overall Performance and Protection;A Novel Modulating PID controller for a Speed control of BLDC Motor Adopting Flower Pollination Algorithm;shaped Beams from Circular Aperture Antennas;A Simple and Low-Cost HIL Solution for control of Power Electronic Converters;improved Harmonic Profile of Multilevel Inverter Topology with Shifted Carrier Modulation Technique;artificial Intelligence Based control Methods for Speed control of Wind Turbine Energy System;recent Trends and Challenges in Blockchain Technology;Comparison of Uplink Spectral Efficiency in Massive MIMO Systems;a study on static Call Admission control Policies for Wireless Mobile Cellular Networks;Design of Low PDP Ternary Circuits Utilizing Carbon Nanotube Field-Effect Transistors;Detection and Estimation of Multiple Point Targets for LFM Echo Using Compressed Sensing;Design of Dumbbell-Shaped MIMO Antenna for Wearable Applications.

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1st international conference on Advanced Technologies in intelligent control, Environment, computing and communication Engineering, ICATIECE 2019

1st International Conference on Advanced Technologies in Int...

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1st international conference on Advanced Technologies in intelligent control, Environment, computing and communication Engineering, ICATIECE 2019

ISBN: (纸本)9781728104188

The proceedings contain 77 papers. The topics discussed include: a complete optimal solution for the wet garbage recycling plant in apartments cluster by radical multi-objective decision model;comparison of multilevel inverter using reverse voltage topology for multiple loads;intelligent error detection and advisory system for practitioners of music using audio signal processing and computing;fuzzified multi-objective transportation problem: a real coded genetic algorithm approach to the compromised near-to-optimal solution;energy efficient LED lighting design for horticulture;modified cluster based certificate blocking of misbehaving node in MANETs;and a collective study of data mining techniques for the big health data available from the electronic health records.

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Design of Orthogonal Polyphase Codes for MIMO Radar Using an Enhanced Salp Swarm Algorithm 1

Design of Orthogonal Polyphase Codes for MIMO Radar Using an...

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1st international conference on intelligent Manufacturing and Cloud computing, ICIMCC 2024

作者： Pang, Yu Zhao, Runhui Wen, Hong Wang, Yongfeng Feng, Xuewei Tang, Tao Zhao, Ziang Ma, Wendi School of Aeronautics and Astronautics University of Elec.Science and Tech. of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Lab. of Sichuan Province UESTC 611731 China Intelligent IoT Communication Technology Engineering Research Center of Sichuan Province UESTC 611731 China

ISBN: (纸本)9781643685779

This paper presents the design of highly orthogonal waveforms focusing on minimizing autocorrelation sidelobes and cross-correlation peaks. An enhanced Salp Swarm Algorithm is proposed to improve global search capabilities through refined population initialization and leader position updates. The feasibility and benefits of this approach are demonstrated through practical implementation. © 2025 The Authors.

关键词： MIMO radar

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Cloud Based Automated control System Workshops and Rooms for controlling Parameters 1

Cloud Based Automated Control System Workshops and Rooms for...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Kumar, Dinesh Kuntal, Ravinder Singh Deep, Pragya Chamoli, Anup Shekhar Singh, Pinki Mandal, Rishabh SRM Institute of Science & Technology Department of Computer Science and Engineering UP Ghaziabad India Nitte Meenakshi Institute of Technology Department of Mathematics Karnataka Bangalore India IIMT College of Engineering Department of AI & DS Greater Noida India Uttaranchal School of Computing Sciences Uttaranchal University Dehradun248001 India Accurate College of Engineering & Management Department of Computer Science and Engineering Greator Noida India Tula's Institute Department of Computer Science and Engineering UK Dehradun India

ISBN: (纸本)9798331518578

Across all industries, cloud-based automated control systems have completely changed how operational and environmental parameters are tracked and controlled. With cloud-integrated systems for real-time data collection, processing, and control, this concept presents intelligent, remote-controlled workshops and control rooms. To guarantee accurate control of crucial variables like temperature, humidity, pressure, and equipment efficiency, these systems make use of IoT devices, AI techniques, and big data analytics. Through sophisticated data perspectives, the cloud-based strategy enables predictive maintenance, improves flexibility, and lowers operating expenses. stakeholders may make prompt, data-driven choices from anywhere with remote access to control rooms. These seminars provide practical experience with cloud-controlled settings and function as training and development centres. The system's flexibility to meet a range of industrial demands is further enhanced by its compatibility with external tools and equipment. The design, deployment, and possible uses of cloud-based control systems are covered in this paper, with an emphasis on how they might promote operational excellence, energy efficiency, and smart manufacturing. © 2025 IEEE.

关键词： Smart manufacturing

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UAV control in Multi-access Edge computing Using Markov Decision Process 1st

UAV Control in Multi-access Edge Computing Using Markov Dec...

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1st international conference on intelligent Systems, Blockchain, and communication Technologies, ISBCom 2024

作者： Elghitani, Fadi Fayed, Ibraheem M. National Telecommunication Institute Cairo Egypt

ISBN: (纸本)9783031823763

Cloud computing is the pradigim where service providers carry-on computational tasks for their customers. Multi-access Edge computing (MEC) is a recent form of service where the computational tasks are carried in a distributed manner at the edge of the network to be as close to customer as possible. This new pradigim have the advantage of lowering the latency, making the pradigim suitable for real-time applications. One promising way to deploy MEC is to mount the servers over a UAV which can be moved dynamically to become closer to users. In this paper, we address the challenges associated with UAV-mounted servers like energy consumption and path routing. We propose a UAV control mechanism based on continuous-time Markov Decision Process (CT-MDP). We demonstrated the advantage of the proposed mechanism in terms of task-satisfaction rate and policy computational time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Markov processes

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Privacy Preserving Attribute based Access control with Data Deduplication using RSA-BLAKE3-OCO for Secure Cloud storage 1

Privacy Preserving Attribute based Access Control with Data ...

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1st international conference on intelligent Systems and Computational Networks, ICISCN 2025

作者： Gayathri, G.N. Channakrishnaraju Sri Siddhartha Academy of Higher Education Department of Computer Science and Engineering Tumkur India

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529246

Nowadays, cloud storage is one of the popular application models in various fields, where the security and access permission of storage data are widely considered. De-duplication algorithms are designed to mitigate redundant storage of data in the cloud. However, the main problem was data duplication which occupied the storage in many cloud storage systems that require an appropriate data security model. To overcome this problem, Rivest-Shamir-Adleman (RSA) - BLAKE3 based Optimal Cache Oblivious (OCO) demonstrates ensured access and privacy while removing the duplicates in cloud computing. The combination of RSA and BLAKE-3 is used to maintain efficient attribute exchange and prevent data leakage and privacy violations. In addition, the OCO technique is used to hide the access pattern in the cloud storage and copy the data by matching the random pattern. This process ensures data privacy and secure data sharing in cloud storage by avoiding data corruption. The result analysis clearly shows that the proposed RSA-BLAKE3-OCO attains a communication overhead of 11MB, a data integrity rate of 93% and a data confidentiality rate of 95% from 50 files which is better when compared with the existing methods. © 2025 IEEE.

关键词： Data integrity

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Adaptive Differentially Private Robust Federated Learning Against Backdoor Attacks 1

Adaptive Differentially Private Robust Federated Learning Ag...

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1st international conference on intelligent Manufacturing and Cloud computing, ICIMCC 2024

作者： Yao, Ruixiang Wen, Hong Hou, Wenjing Ma, Wendi Sun, Fan Zhao, Ziang School of Aeronautics and Astronautics University of Elec.Science and Tech. of China Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Lab. of Sichuan Province UESTC 611731 China Intelligent IoT Communication Technology Engineering Research Center of Sichuan Province UESTC 611731 China

ISBN: (纸本)9781643685779

In federated learning systems, malicious attackers can manipulate training datasets by injecting backdoor triggers to achieve data poisoning. Addressing this vulnerability, this paper proposes a new defense method, the adaptive differential privacy stochastic gradient descent (ADP-SGD) algorithm, which increases the Euclidean distance between malicious and benign updates to enhance aggregation efficiency. Experiments were conducted on typical datasets, and the results show that combining ADP-SGD with the m-Krum aggregation algorithm can effectively defend against backdoor attacks in complex attack environments. While ensuring the accuracy of the main task, it significantly reduces the success rate of backdoor attacks, especially under the condition of unknown proportions of malicious participants, proving to be effective and robust. © 2025 The Authors.

关键词： Federated learning

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intelligent Aircraft Antiskid Braking Systems – A Review 1st

Intelligent Aircraft Antiskid Braking Systems – A Review

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1st international conference on intelligent Systems in computing and communications, ISCComm 2023

作者： Sudheendra, P. Bhat, Vinayambika S. Aircraft Research and Design Centre Hindustan Aeronautics Limited Bengaluru India Department of Electronics and Communication Engineering Mangalore Institute of Technology and Engineering Moodabidri India

ISBN: (纸本)9783031756047

This paper presents the evolution of application of Artificial Intelligence (AI)techniques in the design of Aircraft Antiskid Braking Systems (AABS). AABS designs that are based on conventional heuristic algorithms fail to generate desired responses when exposed to unpredictable nonlinearities such as actuator and sensor faults and variations in aircraft dynamics. AI techniques such as Artificial Neural Networks (ANN), Fuzzy logic and Machine Learning (ML) can make control systems adapt in response to changes in both internal and external disturbances. This work begins with an introduction on evolution of AABS and limitations of conventional AABS designs. Then an adapted aircraft landing gear and ‘tyre-runway’ dynamic models are presented. This is followed by the review of AABS that are based on the three common AI techniques namely ANN, Fuzzy logic, and ML and intelligent PID controllers. A comparison of the AI based AABS is provided in the concluding section. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Landing gear (aircraft)

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Next-Gen Home Automation: Sensor-Based Connectivity and Appliance control 1st

Next-Gen Home Automation: Sensor-Based Connectivity and Appl...

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1st international Research conference on computing Technologies for Sustainable Development, IRCCTSD 2024

作者： Nithiyaraj, E. Emerson Srinivass, S. Mukilan, K. Muthukumar, M. Nanmaran, R. Srimathi, S. Department of Artificial Intelligence and Data Science Mepco Schlenk Engineering College Sivakasi India Department of ECE Ramco Institute of Technology Rajapalayam India Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Biotechnology Saveetha School of Engineering SIMATS Tamilnadu Chennai India

ISBN: (纸本)9783031823824

Internet of Things (IoT) integrated smart home automation systems use sensor networks and communication modules to extend home energy efficiency, security, and convenience. IoT transforms houses into intelligent environment that are remotely monitored and controlled from anywhere using communication technologies. In this paper, a NodeMCU microcontroller and a variety of sensors, such as a PIR for motion detection, a gas sensor for monitoring hazardous gases, a flame sensor for fire detection, a DHT11 for temperature and humidity sensing, as well as smart locks, lights and fans for environmental control, are used to develop and implement a smart home system. With a user-friendly smartphone interface, the suggested system enables residents to monitor and operate their home appliances remotely in real- time, improving security, comfort, and energy efficiency. This article intends to further the development of smart home technology by providing a thorough overview of system design, sensor integration, and functionality. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Smart homes

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Enhancing Industrial Automation Flexibility Through Neural Network-Empowered Machine Vision Applications 1st

Enhancing Industrial Automation Flexibility Through Neural N...

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1st international conference on Artificial Intelligence and its Applications, ICAIA 2023

作者： George, Navin M. Rosero, Evelyn Mayakannan, S. Shameem, A. Divya, S. Arul, N. Electronics and Communication Engineering Karunya Institute of Technology and Sciences Tamil Nadu Coimbatore641114 India Riobamba060155 Ecuador Department of Mechanical Engineering Vidya Vikas College of Engineering and Technology Namakkal Tamilnadu Tiruchengode India AMET Business School AMET University Tamilnadu Chennai India Erode Tamil Nadu Perundurai638057 India Department of Mechatronics Engineering Sona College of Technology Tamilnadu Salem India

ISBN: (纸本)9783031843969

Vision-based systems provide non-contact sensory input for processing and feedback, expanding the capabilities of industrial automation applications. Prediction using ANNs aids such conformities in navigating nonlinear computational landscapes. They map the plethora of potential outcomes or zones of uncertainty introduced by the system’s constituents onto a set of feasible options for action. A measure of intelligence is transferred to robotic systems through the use of trained networks. Two uses of machine vision are presented here. The 3 DOF robotic assembly enables precision cutting of fragile materials with the help of visual guiding and pixel elimination. The 6-degrees-of-freedom robot uses a combination of visual feedback from an onboard camera and supervision from an external camera to achieve its goals. Pick-and-place operations are executed with a switching control method. Both systems improved in terms of computing time and convergence once ANN was used to make the strategies intelligent. The retrieved scene image features are put to use by the networks in a variety of ways. The simulation and experimental results that back up the suggested approaches demonstrates the value of artificial neural network in machine vision applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Robotic assembly

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