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The Performance Analysis of Daffier-Hellman Key Exchange Algorithm for Secure Transmission of Data in Cryptography Networks 3

The Performance Analysis of Daffier-Hellman Key Exchange Alg...

引用

3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Ahmad, Arsalan Sakhare, Nitin N. Mondal, Dipannita Vigenesh, M. Indira, G. Futane, Pravin R. Mangalayatan University Department of Management Aligarh India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Dr. D.Y. Patil College of Engineering and Innovation Artificial Intelligence and Data Science Department Talegaon India Karpagam Academy of Higher Education Department of Computer Science Engineering Coimbatore India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electrical and Electronics Engineering Chennai India Vishwakarma Institute of Information Technology Department of Information Technology Pune India

ISBN: (纸本)9798350319125

This paper examines the overall performance of the Daffier-Hellman key trade algorithm for the relaxed transmission of data in cryptography networks. Two types of Daffier-Hellman key exchanges are considered: the traditional scheme without elliptic curves and the current model utilizing elliptic curves. The parameters and their respective performance of both schemes are compared. In addition, it is located that the elliptic curve-primarily based Daffier-Hellman set of rules offers better overall performance than the conventional one, with better security and a drastically shorter key-status quo time. An in-depth analysis of the velocity and protection of both algorithms is supplied. The consequences of the have look indicate that the elliptic curve model of DaffierHellman is the fine-acting set of rules for secure records switches in cryptography networks. Moreover, the paper additionally discusses the safety problems and challenges arising from implementing the Daffier-Hellman key trade algorithm and indicates some possible solutions. Ultimately, the paper also offers an end on the overall performance of DaffierHellman Key's alternate set of rules regarding pace, safety, and reliability. © 2023 IEEE.

关键词： algorithm consequences performance possible safety

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Spatiotemporal Control of Nonlinear Effects in Multimode Fibers for Two-Octave High-Peak-Power Femtosecond Tunable Source

Spatiotemporal Control of Nonlinear Effects in Multimode Fib...

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3D Image Acquisition and Display: Technology, Perception and Applications, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023 - Part of Imaging and Applied Optics Congress 2023

作者： Qiu, Tong Cao, Honghao Liu, Kunzan You, Sixian Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States

We developed a two-octave high-peak-power femtosecond tunable source by spatiotemporal control of nonlinear effects in a step-index MMF through a customer-designed fiber shaper. Its application to improve label-free i... 详细信息

ISBN: (纸本)9781957171289

关键词： High power fiber lasers Image quality Multimode fibers Nonlinear effects Optical computing Tissue imaging

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Introduction to ARM processors its types and Overview to Cortex M series with deep explanation of each of the processors in this Family 12

Introduction to ARM processors its types and Overview to Cor...

引用

12th International Conference on computer Communication and Informatics, ICCCI 2022

作者： Hemanthkumar, P.B. Anireddy, Shreekar Reddy Josh, F.T. Venkatesan, R. Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Coimbatore India Department of Electrical and Electronics Engineering Karunya Institute of Technology and Sciences Coimbatore India

ISBN: (纸本)9781665480352

ARM Cortex M series or family consists of 10 processors till date. In this paper, first we are going to discuss about ARM processors, how it can be classified, what these processors are meant for and how to select your right processor, followed by a basic idea about each of the processors in the M series. Along with the basic idea, we are going to share features of each of the processors, the available configuration options, works that were published on each of the processors with what was their idea on that particular processor and with the flow you will notice there will be some comparisons for the features and also configuration options available between the processors, at last there is a table that briefly gives the available configuration options with its features on each of the processor in this family. © 2022 IEEE.

关键词： ARM processors

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Real Time use of Automatic Voice Command Drug Dispenser (VCMD) 1

Real Time use of Automatic Voice Command Drug Dispenser (VCM...

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1st International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems, ICMACC 2022

作者： Akshaya Reddy, Vennapusa Chinni, Pathlavath Singh, Sugandha Hyderabad Institute of Technology and Management Department of Electronics and Communication Engineering Hyderabad India Department of Computer Science and Engineering Chaitanya Bharathi Institute of Technology Hyderabad India

ISBN: (纸本)9781665496049

Using ineffective medication will seriously harm your health. Our health may suffer long-term or short-term effects from taking the wrong medication or taking too much of it. Humans are inclined to take drugs because of marketing or because we know someone who has used. We have developed a state-of-the-art technological and scientific model called 'Automatic Voice Command Drug Dispenser' (VCMD) in order to get over this entire error. The automatic voice command medicine dispenser that is being suggested is a technical and pharmaceutical equipment that is intended to dispense medications when voice commands are supplied and the medications are collected by patients. When VCMD was not in use, there were several difficulties that could affect the people. The endeavour, the patient's temperature can be sensed, as well as the delivery of medications and monitoring of heart rate. To control all of these activities, we are using an Arduino Mega. VCMD employs a variety of strategies, including the military and nursing homes. The Arduino Mega board gathers data from sensors, checks the data it shows on LCD, and then continuously checks the VCMD status. This study uses Arduino to create an automated system to replace manual maintenance on the medication dispensing process. © 2022 IEEE.

关键词： Dispensers

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Digital Video Watermarking: Algorithmic Design and Performance Analysis 15

Digital Video Watermarking: Algorithmic Design and Performan...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Rampal, Sourav Umakanth, S. Gawali, Piyush P. Hemelatha, S. Aggarwal, Prateek Mahalakshmi, V. Chitkara Centre for Research and Development Chitkara University Himachal Pradesh 174103 India Karnataka Bangalore India Department of Computer Engineering Vishwakarma Institute of Technology Pune India Department of Computer Science Engineering Karpagam Academy of Higher Education Coimbatore641021 India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Electrical and Electronics Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai127 India

ISBN: (纸本)9798350370249

Virtual video watermarking is an emerging technique for defending the integrity and security of video content material. This paper offers a survey of the state of the art in algorithms and overall performance analysis for virtual video watermarking. The dialogue begins with a top-level view of digital video watermarking, which includes numerous definitions and targets. Then, a survey of diverse watermarking techniques and algorithms is offered, along with their blessings and downsides. Finally, the paper looks at the overall performance evaluation of virtual video watermarking techniques and discusses distinctive metrics and their programs. The paper concludes with some open demanding situations and capacity regions to take a look at. © 2024 IEEE.

关键词： Image watermarking

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Bandwidth-Engineered Ultra-Fast Time-Variant Metasurfaces

Bandwidth-Engineered Ultra-Fast Time-Variant Metasurfaces

引用

2023 Conference on Lasers and Electro-Optics Europe and European Quantum electronics Conference, CLEO/Europe-EQEC 2023

作者： Yang, Ziwei Liu, Mingkai Smirnova, Daria Komar, Andrei Shcherbakov, Maxim Neshev, Dragomir Dept. of Electronics Materials Engineering Research School of Physics Australian National University ACT2601 Australia Department of Electrical Engineering and Computer Science University of California IrvineCA92697 United States

ISBN: (纸本)9798350345995

Time-variant metasurfaces [1] have recently provided an ultra-fast approach to manipulating the optical response compared with conventional tunable approaches, like thermal and electric tuning. They allow for femtosecond scale switching by tuning under high-energy pumping sources. However, despite the recent advances in this field, the ability to precisely tailor the metasurface bandwidth with ultra-fast time response has not been carefully explored. © 2023 IEEE.

关键词： Bandwidth

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Comparative Study of Object Detection Models for Fresh and Rotten Apples and Tomatoes: Faster R-CNN, DETR, YOLOv8, and YOLOv12S

Comparative Study of Object Detection Models for Fresh and R...

引用

International Conference on Inventive Computation Technologies (ICICT)

作者： Prem Bahadur Rana Sangam Thapa Department of Electronics and Communication Engineering Khwopa Engineering College Bhaktapur Nepal Department of Computer Science Nepal Open University Lalitpur Nepal

ISBN: (数字)9798331512248

ISBN: (纸本)9798331512255

The scientific and technological principles applied in agrotechnology improve the effectiveness, productivity, and sustainability of the agricultural system. Four of the high-performance object detection models, namely You Only Look Once version 8 (YOLOv8), YOLOv12S, Detection Transformers (DETR), and Faster Region-based Convolutional Neural Network (R-CNN), were compared using key performance metrics including mean Average Precision (mAP) and F1-Score to classify rotten and fresh tomatoes and apples. YOLOv12S stands out among the four models on a custom dataset of size 11,675 with a mean Average Precision (mAP) score of 99.31% and F1-Score of 98.28%. YOLOv12S is well-suited for real-time applications as it optimizes the trade-off between computational cost and accuracy. The architectural analysis highlights YOLOv12S's CNN backbone for fast inference versus DETR's transformer-based global context modeling. Unlike past efforts focusing on single models, the comparison spans architectures, revealing their strengths, weaknesses, and practical roles in farming. Future work should address computational demands, hybrid models, and adaptability.

关键词： YOLO Productivity Adaptation models Accuracy Computational modeling Transformers Real-time systems Convolutional neural networks Sustainable development Sorting

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Urban Mobility Optimization with IoT and Deep Q Networks for Traffic Density Management 3

Urban Mobility Optimization with IoT and Deep Q Networks for...

引用

3rd International Conference for Innovation in Technology, INOCON 2024

作者： Ranganathan, Chitra Sabapathy Jayanthi, L.N. Babu, J. Jagan Manikandan, M. Sivakamy, N. Mphasis Corporation Tamil Nadu Chennai India Saveetha College of Liberal Arts and Sciences Department of Commerce Tamil Nadu Chennai India R.M.D Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Srm Institute of Science and Technology Faculty of Management Tamil Nadu Chennai India Panimalar Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350381931

Traffic density and mobility optimization in urban areas are becoming more difficult to manage to improve transportation efficiency. Urban traffic management is complicated, but this research provides a revolutionary technique using the Internet of Things (IoT) and Deep Q Networks (DQN). Traffic lights, sensors, and vehicles may be monitored in real-time using IoT technology to provide a complete picture of urban mobility. As an intelligent decision-making agent, the DQN uses reinforcement learning to adapt to changing traffic circumstances and optimize traffic density management. The model is educated on historical data and refines its tactics via environmental interaction, solving urban transportation problems. A complex data fusion mechanism processes data from different IoT devices. A reinforcement learning framework uses DQN for decision-making, and a feedback loop updates and optimizes traffic management tactics. The research uses simulations and urban case studies to prove that the technique works. The findings show improved traffic flow, congestion, and mobility efficiency. It uses IoT and DQN to develop intelligent urban transport systems that scale and respond to traffic density in complex and dynamic urban environments. © 2024 IEEE.

关键词： Traffic congestion

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Weight Aware Channel Assignment with Node Stability in Wireless Mesh Networks 13

Weight Aware Channel Assignment with Node Stability in Wirel...

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13th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2022

作者： David, D. Jasmine Jebaseeli, T. Jemima Venkatesan, R. Department of Electronics and Communication Engineering Kaurnya Institute of Technology and Sciences Coimbatore India Department of Computer Science and Engineering Kaurnya Institute of Technology and Sciences Coimbatore India

ISBN: (纸本)9781713857938

Wireless Mesh Network (WMN) is one of the next generation wireless networks' contemporary technologies. This study proposes a novel weight and node stability method for the channel assignment to enhance WMN. Node Stability (NS) is the major concern to support real-time transmissions in wireless networks. Given the enormous bandwidth demand and the dynamic change in traffic, most wireless network routes are unstable, resulting to storming, loosing and delaying processes. In this paper, stability problem in WMN is addressed. First the main factor that causes the instability is presented. In order to overcome these problems, a new method called WACA, which contains a weight aware channel allocation with node stability. © Grenze Scientific Society, 2022.

关键词： Mesh generation

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Medical Image Segmentation Using Deep Learning Techniques: Advancement and Challenges 3

Medical Image Segmentation Using Deep Learning Techniques: A...

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3rd International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Gopinath, B. Vinay Kumar, V. Kag, Hitesh Joshi, Kapil Rajput, Akshay Kapila, Dhiraj Kumaraguru College of Technology Department of Electronics and Communication Engineering Tamilnadu Coimbatore641049 India Anurag University Department of Ece Telangana Hyderabad India Marwadi University Department of CE-AI Rajkot India Uttaranchal University Uttaranchal Institute of Technology India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Lovely Professional University Department of Computer Science & Engineering Punjab Phagwara India

ISBN: (纸本)9798350399264

An abundance of articles documenting the efficacy of deep learning in the area of medical picture segmentation attest to its widespread adoption and application for this purpose. A comprehensive topical overview of deep learning algorithms for medical picture segmentation is provided. There are two novel additions to this study. As a first step, we classify the most popular literatures according to a multi-level structure that ranges from coarse to fine, in contrast to traditional questionnaires that straightforwardly divide literatures of deep learning on medical image segmentation into several groups and incorporate articles in depth for each group. Second, although unsupervised learning methods were introduced in many older surveys, they are not widely used now, therefore this work only covers supervised and poorly supervised methods. We provide a literature review of supervised learning strategies, focusing on three key areas: network block design, backbone network selection, and loss function optimization. We explore the literature on weakly supervised learning strategies in terms of data enhancement, transfer learning, and interactive categorization, each of which stands on its own. This study organizes the literatures in a totally different way from previous ones, making it easier for readers to comprehend the key logic and leading them to consider acceptable advances in medical picture segmentation utilizing deep learning methodologies. © 2023 IEEE.

关键词： Deep learning

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