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检索条件"任意字段=7th International Conference on Computing in Engineering and Technology, ICCET 2022"

共 11096 条记录，以下是1151-1160 订阅

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Floating Multiplier based Matrix Multiplication using PPI-MO Technique 7

Floating Multiplier based Matrix Multiplication using PPI-MO...

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7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Darshan, Asim Raghuwanshi, Ashish IES College of Technology Electronics and Communication Engineering Department Madhya Pradesh Bhopal India

ISBN: (纸本)9798350397253

DSP systems that are resource efficient, high throughput, and low power are in high demand right now due to the rapid growth of wireless communication, multimedia applications, robotics, and graphics. In almost all DSP systems, from audio/video signal processing to wireless sensor networks, the fundamental processing element that is utilized the most frequently is Floating Point (FP) Matrix Multiplication (MM). the hardware implementation of FP-MM necessitates a large number of arithmetic operations, which have an impact on speed but also take up more space and power. In order to cut down on area, DSP systems use parallel processing and pipelining. MM is the portion activity utilized in many change, picture and discrete sign handling application. New methods and algorithms for MM on configurable devices are developed by us. A proposed three MM design is present in this study. To accommodate various application requirements, these designs reduced input/output data format, throughput rate, and hardware complexity. the PPI-MO based MM is design Xilinx software and simulated number of slice, look up table and delay. © 2023 IEEE.

关键词： Wireless sensor networks

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Enhancing Global Security: A Robust CNN Model for Deepfake Video Detection 7

Enhancing Global Security: A Robust CNN Model for Deepfake V...

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7th international conference on Information and Computer Technologies, ICICT 2024

作者： Solaiman, Md Rana, Md Shohel Software Engineering Daffodil International University Dhaka Bangladesh Computing And Software Engineering Florida Gulf Coast University Fort Myers United States

ISBN: (纸本)9798350385625

In recent years, the rapid advancements in machine learning (ML), artificial intelligence (AI), and deep learning (DL) have ushered in a new era of sophistication in image and video manipulation techniques. Notably, the emergence of Deepfake technology, driven by AI, has garnered substantial attention. Deepfakes involve training DL models on extensive datasets of similar faces and subsequently mapping one person's expressions onto another's face, resulting in deceptively realistic fake videos that can be virtually indistinguishable from authentic ones. the proliferation of Deepfakes poses various threats, including the potential to incite political turmoil, coerce individuals, or fabricate false terrorist incidents. this trend undermines privacy, consent, and the trustworthiness of digital media. Consequently, there is a pressing need to continually advance Deepfake detection and prevention methodologies to safeguard against their malevolent use and uphold the integrity of digital content. this paper introduces a Convolutional Neural Network (CNN) based DL model specifically developed for the classification of Deepfake video frames. Our model exhibits impressive performance, as validated by a thorough analysis on the VDFD dataset, where it achieves an outstanding average precision, recall, and F1-score of 95%, 94%, and 94%, respectively. Moreover, our model showcases its efficacy across various widely recognized Deepfake datasets, including FF++, Celeb-DF, and DFDC, with frame detection average rates for precision, recall, and F1-score ranging from 80% to 85%. these compelling results signify that our proposed CNN-based frame detection technique is a powerful tool for Deepfake detection, emphasizing the critical significance of automated Deepfake detection with an exceptionally high detection rate. this technology represents a pivotal step toward protecting against the potential misuse of Deepfakes, reinforcing the security and integrity of digital content in our mo

关键词： Digital storage

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A Novel Architecture for Efficient Mobile Communication based on Scattered and Diverse Combination using Prioritize and Postoperative Soft Modulation 7

A Novel Architecture for Efficient Mobile Communication base...

引用

7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Sumithra, J. Mercy theresa, M. Geetha Priya, S. Jackson, Beulah Samuthira Pandi, V. Balamurugan, A. R. M. D Engineering College Department of Electronics and Communication Engineering Tamil Nadu India SRM Institute of Science and Technology Department of Data Science and Business Systems Tamil Nadu India R. M. D Engineering College Department of Computer Science and Engineering Tamil Nadu India Vel Tech Rangarajam Dr. Sagunthala R&D Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu India SRM Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu India Chennai Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu India

ISBN: (纸本)9798350397253

the proposed work suggests a novel approach for the cooperation of geographically scattered individuals and the blending of different points of view. this work ensures that the center on heterogeneous networks in which nodes support both long-range low-rate Radio Frequency (RF) interfaces (like cellular) and short-range high-rate RF interfaces (such as IEEE802.11) that communicate over urban Rayleigh fading channels. these interfaces are used to connect the devices. the interfaces are what are used to link the various gadgets. this research work proposes and evaluates a wide variety of hierarchically distributed cooperation strategies that can function despite resource restrictions such as limited short-range RF bandwidth. these strategies are contained within the confines of this paradigm, which serves as the framework for proposed work. Post Soft-Demodulation Combining, often referred to as PSDC, and Priority Maximum Ratio Combining are the two approaches that come highly recommended by our team (PMRC). this work provides evidence that using the offered methods increases throughput, reliability, and signal-to-noise ratio. Moreover, this study found that PMRC and PSDC have the ability to improve throughput performance by more than an order of magnitude across a wide range of communication circumstances. © 2023 IEEE.

关键词： Signal to noise ratio

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Exploration on the Development Path of Postdoctoral System in China Based on Text Analysis 7

Exploration on the Development Path of Postdoctoral System i...

引用

7th international conference on Cloud computing and Big Data Analytics, ICCCBDA 2022

作者： Wang, Wenhui Luo, Mengyuan Wuhan University of Technology Human Resource Department Wuhan China Wuhan University of Technology School of Safety Science and Emergency Management Wuhan China

ISBN: (纸本)9781665487115

As a group of young scientific research talents with the most innovative vitality and development potential, postdoctoral fellow has become a main force in scientific research at home and abroad. System construction is the foundation of cultivating postdoctoral fellows into high-level innovative talents. With the change of the times, the ways and methods of talent training must be changed, but the system has a certain path dependence and lag. Based on the trend analysis of postdoctoral scale, this paper carries out semantic analysis on several typical texts of postdoctoral development system to explore the path of postdoctoral system construction. © 2022 IEEE.

关键词： Training Cloud computing Text analysis Semantics Force Big Data IEEE Fellows

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Cloud computing Infrastructure in Smart Home Devices 7

Cloud Computing Infrastructure in Smart Home Devices

引用

7th international conference on Image Information Processing, ICIIP 2023

作者： Roy, Rajarshi Sharma, Nidhi Lovely Professional University Dept of Computer Science And Engineering Punjab India

ISBN: (纸本)9798350371406

Cloud computing has transformed how we engage with technology. Computer users now have easy access to computing resources via the internet. this inclination is not limited to smart home devices. Smart home devices have become more dominant by means and the use of technology. Internet of things (IoT) takes grown the popularity, makes our daily lives easier and more efficient. Cloud computing technology provides a chance to increase the performance, usefulness of smart home devices with integration in smart home gadgets. the author has worked and emphasizes the assistances of cloud computing, like as scalability, cost-efficiency, greater storage capacity, along with covering the drawbacks, such as security threats, data privacy concerns, and latency issues. Recent research studies imply that cloud computing can considerably progress the performance of smart home devices by providing greater storage, processing power, and data analytics capabilities. the possible risks associated with cloud computing must be carefully handled to maintain the security and privacy of users' data has discussed in the paper. © 2023 IEEE.

关键词： Internet of things

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Comparative Analysis of Various Techniques used for Selfish Node Detection in DTN 7

Comparative Analysis of Various Techniques used for Selfish ...

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7th international conference on Parallel, Distributed and Grid computing, PDGC 2022

作者： Sharma, Rakhi Dinkar, Shail Kumar Veer Madho Singh Bhandari Uttarakhand Technical University Uttarkhand Dehradun India Govind Ballabh Pant Institute of Engineering and Technology Department of Computer Science and Applications Uttarakhand Garhwal India

ISBN: (纸本)9781665454018

Delay Tolerant Network is a network which is wireless and which has no infrastructure. It is designed in a way that it can operate effectively even in extreme diverse conditions and can cover large distances, as in the case of space communications when there is not a single direct pathway between source and destination. Messages are delivered based on store, carry and forward Policy. Data is transmitted in DTN through the number of intermediate nodes but some of them are malicious that are called selfish nodes. A selfish node can be described as a node which do not responds to any of the received messages in order to save its energy. there are many terms coined for this such as selfish node attack, byzantine attack, black hole attack and denial of service attack. An analysis of the techniques proposed to detect selfish behavior in DTN in the perspective of simulation tools used has been presented in this paper. © 2022 IEEE.

关键词： Delay tolerant networks

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Wireless Wealth: Capitalizing on the 5G technology Frontier 7

Wireless Wealth: Capitalizing on the 5G Technology Frontier

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7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Gupta, Neha Arora, Kavita Batra, Mridula Manav Rachna International Institute of Research & Studies School of Computer Application Faridabad India

ISBN: (纸本)9798350372816

Heavy demand and reduced traditional revenue sources have made tremendous financial pressure on the telecommunication industry. the purpose of this study is to provide an understanding of strategic importance and monetization strategies of 5G using a case study approach. Secondary market research is carried out for the global and Indian telecom market, to find out the direction, forecast, and market readiness about 5G. the paper identified and studied different use cases and business models proposed by original equipment manufacturers (OEM), and research organizations. the paper discusses the new revenue streams that can be generated through new technologies in areas like managed services, IoT applications, partner ecosystems, etc. 5G support these new technologies and will help telecom service providers gain new revenue streams. Based on research output, the study proposed six different business models that will help CSPs to capitalize on their resources. © 2024 IEEE.

关键词： Market Research

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Product Negotiation in E-Commerce Website using Chatbot 7

Product Negotiation in E-Commerce Website using Chatbot

引用

7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Sree, Palleti Divya Kokkiligadda, Manohar Raj Teja, Jagannadham Sandeep, Yelisetti Department of Information Technology Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada India

ISBN: (纸本)9781665464086

Real-world transactions always include some amount of negotiation. the only goal of negotiations is to engage in bartering. Every important business deal, including buying food from a street vendor, requires it. this suggestion will be used for an e-commerce chatbot to assist in bargaining the cost of the merchandise. Consumer feedback and occasional reviews are the two most common techniques used to track customer satisfaction. the sellers found it difficult and practically impossible to conclude any bargaining process. A chatbot system is necessary to improve client satisfaction and negotiating effectiveness. In this research work, an intelligent chatbot system was used to generate responses based on the user's purpose. Here, the main objective is to increase the effectiveness of online shopping. therefore, to make purchasing easier, chatbots are used to communicate with sellers and negotiate prices. the chatbots will be preprogrammed with the possible questionnaire that could be possibly asked by a customer. Based on the intents that are expressed by the customer, the bot can classify them into entities. this approach includes Natural Language Processing (NLP) for the better understanding of chatbot framework. © 2023 IEEE.

关键词： Customer satisfaction

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Efficient Intensity Bedded Sonata Wiles System using IoT 7

Efficient Intensity Bedded Sonata Wiles System using IoT

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7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Kathiravan, M. Manohar, S. Jayanthi, R. Dheepthi, R. Sekhar, R. Vishnu Bharathiraja, N. Chennai India Computer Science and Engineering SRM Institute of Science and Technology Faculty of Engineering and Technology Vadapalani Campus Chennai India Department of Computer Science and Engineering JNN Institute of Science Engineering Chennai India Chennai India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9781665464086

the human face plays a significant role in interpreting emotional states. Most nonverbal communication between humans occurs through changes in facial expressions. People listen to music to lift their spirits, calm their nerves, and re-energize them. It also hints that hearing the right song at the right time can have a positive effect on one's mood. Now more than ever, thanks to the proliferation of mobile networks and digital multimedia, music is an integral part of many young people's daily lives. Conversely, music has been shown to significantly impact listeners' emotional states. People of all ages, nationalities, languages, economic standings, social standings, and demographic groups can find common ground via shared appreciation of music. Music players and streaming apps are in high demand since users may listen to their music whenever and wherever they like. the study proposes a mood-based music playback system that can identify the user's emotional state in real time and make song recommendations accordingly. It uses a webcam to record the human face in all its expressive glory. Using this information, a playlist of songs that are congruent with the "mood" determined from previous facial expressions can be built. Music players that analyse facial expressions use a set of criteria to scan the user's face and then play songs basedon what they see. © 2023 IEEE.

关键词： Emotion Recognition

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Classification of Alzheimer's Disease using Neuroimaging Techniques 7

Classification of Alzheimer's Disease using Neuroimaging Tec...

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7th international conference on Intelligent computing and Control Systems, ICICCS 2023

作者： Manochandar, T. Diderot, P. Kumaraguru Hindustan Institute of Technology and Science Department of Electronics and Communication Engineering Tamil Nadu India

ISBN: (纸本)9798350397253

Alzheimer's disease (AD) is a type of Dementia, which poses a significant challenge for identifying the number of people living and the rapid increase in the disease. Alzheimer's disease is incurable and it is difficult to find the bio psychosocial implications occurred on those who are infected. the abnormalities of the hippocampal region, amygdala, corpus callosum, grey matter, white matter, and ventricles lead to a memory disease called Alzheimer's. Neuroimaging techniques such as Computed Tomography, Magnetic Resonance Imaging, and Positron Emission tomography were used for the diagnosis of neuro disease and the range at which the parts get affected was hard to compute. this research discusses the key issues and findings in structural neuroimaging research of Alzheimer. the brain region affected by AD from various datasets was mentioned along with analysis in different papers. In this work, a detailed survey has been made for finding the ROI for early diagnosis of AD. Furthermore, the different features of brain images have been analyzed with different image processing methods. It is observed that the deep learning displays in obtaining data of the neuro-imaging to characterize the Alzheimer disease. © 2023 IEEE.

关键词： Neurodegenerative diseases

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