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检索条件"任意字段=2nd International Conference on Data Engineering and Communication Technology, ICDECT 2017"

共 10483 条记录，以下是61-70 订阅

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Development of a Grid-Connected Microinverter Based on the Integration of the CUK Converter with a Switchgear Structure 2

Development of a Grid-Connected Microinverter Based on the I...

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2nd international conference on Intelligent data communication Technologies and Internet of Things, IDCIoT 2024

作者： Subhamathi, A.S.F. Anuradha, T. Suganya, A.V. Shanthi, K. Umamaheswari, P. Jose Anand, A. Department of Electrical and Electronics Engineering Karpagam Academy of Higher Education Tamilnadu Coimbatore641021 Department of Electrical and Electronics Engineering KCG College of Technology Tamil Nadu Chennai600097 India Department of Electrical and Electronics Engineering Sri Muthukumaran Institute of Technology Kanchipuram Chennai600069 Department of Computer Science and Business Systems Veltechmultech Dr Rangarajan Dr Sakunthala Engineering College Tamil Nadu Chennai600062 India Department of Electronics and Communication Engineering KCG College of Technology Karapakkam Chennai600 097

ISBN: (纸本)9798350327533

The main focus of this research work is on designing the dimensions of the proposed DC-DC and DC-AC converters. Since it is an unprecedented DC-DC converter, it is important to enable the DC-DC converter to enable simulations in PSIM software. In addition, the size of the proposed DC-AC converter was provided for the purpose of making simulations and specifying the actual components for implementing the 180 W prototype, with the current flowing into the phase. In addition, simulation results are obtained, which show that it is possible to find the maximum power point of the PV module by implementing the MPPT algorithm without having to measure the current of the PV module. © 2024 IEEE.

关键词： Cuk converter

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data Security in communication using Blockchain and Key Based Protocols 2

Data Security in Communication using Blockchain and Key Base...

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2nd IEEE international conference on IoT, communication and Automation technology, ICICAT 2024

作者： Prabakaran, S. Harinivaash, K. Prasad, R. Kaviyan, J. Rabin, D. V.S.B. Engineering College Department of Computer Science and Engineering Karur India

ISBN: (纸本)9798350368109

The development of global communication networks depends on satellite communication. Due to its lower stability and reach, satellite communication networks have garnered a lot of attention recently as a means of reducing the limitations of terrestrial networks. Numerous inconveniences exist, including inadequate storage space, security, and data processing capacity. Illegal entry turned out to be the difficult one. Satellite physical limitations in terms of available power and area result in limited data processing capability, storage and security limitations, and the data may be exposed to alteration or contamination by intruders. Since satellite communication has become more crucial in the development of global communication networks, there have been worries regarding its security. This project proposes to use the QKD protocol, which relies on identification and privacy protection, along with blockchain technology to create A network of satellite communication. To accomplish this, an architecture that consists of conventional and constrained devices connected to the blockchain via a wireless heterogeneous network has been developed. The communication is conducted by registration, authentication, and revocation. After receiving the data from the satellite, the terrestrial base station will log all important parameters on the distributed blockchain and remove any certificates belonging to rogue nodes. The proposed Chain and QKD system, which is based on satellites, offers a high degree of security for rapidly growing applications such as self-driving cars, future 6G and larger networks, and the Internet of Things. © 2024 IEEE.

关键词： Satellite communication systems

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A Secure Encryption Method for Computer Network communication data based on Improved Ant Colony Optimization Algorithm 2

A Secure Encryption Method for Computer Network Communicatio...

引用

2nd IEEE international conference on Integrated Intelligence and communication Systems, ICIICS 2024

作者： Xiao, Dongsheng Department of Network Technology Software Engineering Institute of Guangzhou Guangdong Guangzhou China

ISBN: (纸本)9798331504960

At present, ant colony algorithm is widely used in computer network communication data security encryption methods, but traditional ant colony algorithm is limited by update mechanism and heuristic function, resulting in insufficient encryption security. Heuristic functions optimize network data features by using packet size and sensitivity as parameters to improve the targeting and efficiency of search strategies. Then, the improved ant colony algorithm is integrated with the traditional AES (Advanced Encryption Standard) encryption technology. The keys generated through algorithms not only have higher randomness, but also adjust the length and complexity of the keys according to changes in the network environment, thereby enhancing the security and adaptability of the encryption process. The randomness of the key gradually increases as the number of iterations increases, from 0.82 in 50 iterations to 0.93 in 200 iterations. The computer network communication data security encryption method based on improved ant colony optimization algorithm effectively improves the efficiency and security of the encryption algorithm, and is suitable for use in high security network communication. © 2024 IEEE.

关键词： Ant colony optimization

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Smart Trap Detecting the Whitefly Pest using Deep Neural Networks 2

Smart Trap Detecting the Whitefly Pest using Deep Neural Net...

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2nd international conference on Intelligent data communication Technologies and Internet of Things, IDCIoT 2024

作者： Deepika, Manenalli Kavitha, P. Zareen, Afshan Parikh, Swapnil Patil, Harshal Natravan, L. Potti Sreeramulu Chalavadhi Mallikarjuna Rao College of Engineering and Technology Department of Computer Science and Engineering Andhra Pradesh Vijayawada520012 India CMR Institute of Technology Department of Computer Science and Engineering Karnataka Bengaluru560037 India BGS Institute of Technology Department of Computer Science and Engineering Karnataka 571418 India Parul Institute of Engineering and Technology Department of Computer Science and Engineering Parul University Gujarat 391760 India Maharashtra Pune412115 India Saveetha School of Engineering Department of Mechanical Engrineering SIMATS Tamil Nadu Chennai602105 India

ISBN: (纸本)9798350327533

This study analyzes the suitability of using convolutional neural network designs for detecting the whitefly pest in different agricultural contexts. The goal of this research work is to develop a smart trap suitable for field use. As an initial step, the existing state-of-The-Art whitefly detection and counting techniques are reviewed. Then, the datasets related to whitefly infestations in diverse environments, encompassing both laboratory and field conditions are collected. The proposed approach involves training with various algorithms tailored for object detection with the collected datasets. Subsequently, the results are evaluated and compared to identify the most effective architectures. © 2024 IEEE.

关键词： Agricultural Context Counting Deep Neural Networks Whitefly Detection

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Reducing the communication Overhead in Novel data Sharing Algorithm in Cloud data Storage over Triple data Encryption Standard Algorithm 2

Reducing the Communication Overhead in Novel Data Sharing Al...

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2nd IEEE international conference on Advances in Information technology, ICAIT 2024

作者： Kalyani, Kanaparthi Thangaraj, S. John Justin Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India

ISBN: (纸本)9798350383867

While storing data in the cloud using the Triple data Encryption Standard Algorithm, we can cut down on communication overhead by using the Novel data Sharing *** order to test the algorithms, we import the data and then run Triple DES and Novel data Sharing. There are two sets of algorithms, with 240 and 120 samples *** is maintained that the G-power for Independent T-Test samples is 80%, the threshold is less than 0.05%, and the confidence interval is 95%. Result of the work is done by the IBM SPSS software. Research shows that the Novel data Sharing Algorithm' s communication overhead differs from the state-of-the-art by 83.5% to 81.5%. More exact than the value is the Triple DES Algorithm. The independent sample T-Test was employed to ascertain the mean, standard deviation, and standard error. Statistical significance between groups. The value of p, which is greater than 0.05, is 0.003. In terms of statistical significance, the two algorithms are identical. The results show that compared to the data Encryption Standard, the Novel data Sharing Algorithm performed better in this investigation. © 2024 IEEE.

关键词： data consistency

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Energy-efficient edge based intrusion detection system using machine learning 2

Energy-efficient edge based intrusion detection system using...

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2nd international conference on Computational Intelligence, communication technology and Networking, CICTN 2025

作者： Sonker, Sanjay Kumar Kumar, Ashish Kumar, Manoj Kamini Agrawal, Prem Prakash Devi, Poonam Dept. CSA School of Engineering and Technology Sharda University Greater Noida India Dept. CSE School of Engineering and Technology Sharda University Greater Noida India Dept. CSE Government Girls Polytechnic Tilhar Shahjahanpur India

ISBN: (纸本)9798331530389

Edge based computing's primary goal is to enhance network performance by storing and processing data in proximity to the end user. However, the rapid development of edge computing often overlooks security risks in powerful applications and large-scale computer systems. Security and privacy are essential prerequisites for both edge computing and the ecosystems built around it. Additionally, intrusion detection systems (IDS) are used to detect and analyze network traffic, identify anomalies, trigger alarms, and automatically block the traffic according to the sets of rules design in IDS. This paper discusses the Edge based IDS designed specifically for edge computing with accuracy 99.77% to detect the attacks with 30% of malicious electric vehicle include in the simulation focusing on its relevant processes, features, and procedures. © 2025 IEEE.

关键词： Network intrusion

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Adaptable Machine Learning Methods for a Twitter Followee Recommendation System 2

Adaptable Machine Learning Methods for a Twitter Followee Re...

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2nd IEEE international conference on IoT, communication and Automation technology, ICICAT 2024

作者： Yadav, Sandeep Srivastav, Shashank Buddha Institute of Technology Computer Science and Engineering Department Gorakhpur India

ISBN: (纸本)9798350368109

Recommender systems for social networking have recently used machine learning (ML) methods. This paper describes a multi-agent system that simulates a Twitter recommender system to give users a list of helpful suggestions, i.e., a list of users who are followed, or they want to follow. When processing data in parallel on multi-node distributed systems, a machine learning technique (such as a neural network or multilayer perceptron) is evaluated for scalability using a simulator. A multi-agent modelling simulates the dispersed environment. The quantity of nodes, the method used within the model recommender framework, and the real followers and followees data are the first parameters that need to be configured on the simulator. The experimental findings were acquired on three different datasets to evaluate the speed and precision of a simulated recommender system when evaluating the machine learning method under various conditions. © 2024 IEEE.

关键词： Tweets

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Implementation of Artificial Intelligence in Medical Electronic communication technology 2

Implementation of Artificial Intelligence in Medical Electro...

引用

2nd international conference Computational and Characterization Techniques in engineering and Sciences, IC3TES 2024

作者： Sravanthi, Gurram Kumar, Chinthapula Vinay Sampoorna, Bandi Lavanya, Ryakam Kumari, Mulakala Sirin Imtyaz Ahmed, Mohammed Cmr Technical Campus Department of Ece Hyderabad India Telangana Hyderabad India Cmr College of Engineering & Technology Department of Ece Telangana Hyderabad India Technical Test Lead Infosys Department of Ece Canada Technical Test Lead Infosys Department of Ece India

ISBN: (纸本)9798350364699

Artificial intelligence techniques in communications engineering to address the issue of high frame error rate is suggested in this research. An attempt to improve the safety of the Internet of Things' wireless communication system is made, using Low Power Wide Area Network (LPWAN) technology in AI as an example, using a novel design. The business, terminal access, data processing, and communication technology layers make up the bulk of the architecture. The experimental results demonstrate that the system configuration transmits four types of data every 30 seconds: "light, air pressure, humidity, and temperature."The receiving port records this data continuously for four hours. This configuration significantly improves the system's throughput and processing effectiveness compared to the conventional design (15.7%), with a packet loss rate of only 5%. Wireless communication is improved by the stable, low-bit-error architecture. The evidence suggests that the new design, which takes LPWAN technologies as an example, provides a large total size in addition to a suitable commercial electronic communication interface. This enhancement significantly reduces the frame-number error rate and provides a more precise signal-to-frame-number conversion. © 2024 IEEE.

关键词： Packet loss

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Enhanced Security Measures for Image Privacy: Encryption Perspectives 2

Enhanced Security Measures for Image Privacy: Encryption Per...

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2nd international conference on Intelligent data communication Technologies and Internet of Things, IDCIoT 2024

作者： Omshith, R. Balaji, Vemisetti Pavan Rahul, Rayapudi Venkata Kumaran, U. Amrita School of Computing Dept. of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350327533

A key technology in information security, picture encryption is intended to safeguard the integrity and confidentiality of digital photographs. Using a variety of cryptographic techniques and algorithms, the original image is transformed into an encrypted format throughout this process, making it more difficult for unauthorized users to view or understand the content. Secure communication, picture sharing, medical imaging, and many more fields requiring the protection of sensitive visual data find widespread use in image encryption. A key technology in information security, picture encryption is intended to safeguard the integrity and confidentiality of digital photographs. It also discusses the difficulties and potential paths for picture encryption, highlighting the rising demand for reliable, effective, and secure image encryption solutions in a world that is becoming more and more networked and data-driven. Advanced Encryption Standard (AES) is more secure than (Exclusive OR) XOR, Fernet. © 2024 IEEE.

关键词： Advanced Encryption Standard Confidentiality Encryption Exclusive OR (XOR) Fernet Integrity

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IoT Based Speed Control and Accident Avoidance Using Black Box 2

IoT Based Speed Control and Accident Avoidance Using Black B...

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2nd IEEE international conference on IoT, communication and Automation technology, ICICAT 2024

作者： Suganya, R. Sindhu, K. Varshini, V. Nidharshana, B. Siva Prabha, S. V.S.B. Engineering College Department of Computer Science and Engineering Karur India

ISBN: (纸本)9798350368109

The system employs various sensors and advanced algorithms to lessen traffic hazards. Onboard sensors like GPS, accelerometers, gyroscopes, and proximity sensors track vehicle data in real-time. This data is analyzed locally or sent to a central unit for further processing. Sophisticated computers assess the data to anticipate collision risks, predict dangers, and recommend safe speeds. Proactive measures, like automated speed adjustments and collision avoidance, are taken when hazards are detected. communication technologies such as V2X facilitate real-time data sharing between infrastructure and vehicles, enhancing situational awareness and collaborative decision-making. A black box records crucial data for accident investigation and performance analysis. Machine learning algorithms continuously improve system functionality based on real-world data. Due to the usage of black box, the data which has been collected will sent to nearly located base station, police station, hospital, or home along with latitude and longitude of the vehicle's location. © 2024 IEEE.

关键词： Proximity sensors

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