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

共 11091 条记录，以下是961-970 订阅

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Reserch on Multi-beam Sonar Imaging Based on Improved RLS Algorithm 24

Reserch on Multi-beam Sonar Imaging Based on Improved RLS Al...

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4th international conference on Artificial Intelligence, Big Data and Algorithms, CAIBDA 2024

作者： Zhang, Wennuo Xu, Xiaolong Zhang, Tilang Zhang, Yu Yang, Yajun Xu, Junsong School of Information Science and Engineering Hohai University Changzhou Jiangsu China The Second Construction Co. Ltd. CSCEC 7th Division Suzhou Jiangsu China

ISBN: (纸本)9798400710247

Multi beam imaging sonar has a wide range of applications in underwater target detection due to its high resolution and the ability to visually display targets in two-dimensional sector images. Among them, beamforming technology is the key technology for multi beam sonar imaging, and its performance directly affects the imaging resolution of multi beam sonar. However, traditional beamforming algorithms require pre generation of signals in each beam direction, resulting in substantial issues such as high computational complexity and low real-time imaging performance. therefore, this article proposes a multi beam sonar imaging technology that improves the RLS beamforming algorithm: based on the adaptive forgetting factor RLS algorithm, the parameters that determine the speed of step change are optimized, and the smoothing weights are estimated to update the exponential change curve, thereby achieving the optimization of beamforming technology. A series of simulation experiments are constructed to verify the performance of the proposed algorithm. the experimental results show that the improved RLS algorithm has a narrower main lobe compared to other open-loop adaptive beamforming algorithms;When facing multiple target echo signals, the error change is smaller, and the target position displayed in the imaging highlight map is clearer. © 2024 Copyright held by the owner/author(s).

关键词： Beamforming

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Deep Learning-based Early Parkinson's Disease Detection from Brain MRI Image 7

Deep Learning-based Early Parkinson's Disease Detection from...

引用

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

作者： Sangeetha, S. Baskar, K. Kalaivaani, P.C.D. Kumaravel, T. Department of Information Technology Kongunadu College Of Engineering and Technology TrichyTamil Nadu India Department of Artificial Intelligence and Data Science Kongunadu College Of Engineering and Technology TrichyTamil Nadu India Department of Computer Science and Engineering Kongu Engineering College PerunduraiTamil Nadu India

ISBN: (纸本)9798350397253

Recent decade, Parkinson's disease (PD),which impairs the life quality for millions of older people worldwide, has quickly emerged as a serious condition affecting the brain and spinal cord. Appropriate treatment and management of the disease depend on early discovery and an accurate diagnosis. Due to PD's close resemblance to other neurological disorders, the precise diagnosis of PD has until now been difficult. these same characteristics account for 25% of incorrect manual PD diagnosis. Brain MRI (Magnetic Resonance Imaging) has shown great potential in the detection and diagnosis of Parkinson's disease. Proposed study uses convolutional neural networks (CNN), a type of deep neural network architecture, to classify Parkinson disease in order to differentiate between PD patients and healthy controls. Parkinson Progression Markers Initiative (PPMI)dataset is used as input to classify the disease. Here, the median filtering technique is used to remove the noise from the images and preserve the edges which help to provide a letter image and able to predict it easily. the Parkinson disease recognition system is done by using CNN. Accuracy, sensitivity, specificity, and AUC (Area Under Curve) are used to assess the performance of the suggested approach. © 2023 IEEE.

关键词： Magnetic resonance imaging

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PowerGen: Resources Utilization and Power Consumption Data Generation Framework for Energy Prediction in Edge and Cloud computing 15

PowerGen: Resources Utilization and Power Consumption Data G...

引用

15th international conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / the 7th international conference on Emerging Data and Industry 4.0, EDI40 2024

作者： Ismail, Leila Materwala, Huned Lab Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University United Arab Emirates National Water and Energy Center United Arab Emirates University United Arab Emirates

the explosive adoption of IoT applications in different domains, such as healthcare, transportation, and smart home and industry, has led to the pervasive adoption of edge and cloud computing. Large-scale edge and cloud data centers, consisting of thousands of computing servers, are hungry-energy infrastructure exacerbating issues such as environmental carbon footprint and high electricity costs. Developing energy-efficient solutions for cloud infrastructure requires knowledge of the correlation between computing server resource utilization and power consumption. Power consumption modeling exhibits this relationship and is crucial for energy savings. In this paper, we propose PowerGen, a framework to generate server resources utilization and corresponding power consumption dataset. the proposed framework will aid academic researchers to formulate correlations between resources utilization and power consumption by using power prediction models, and evaluate energy-aware resource management approaches in an edge-cloud computing system. It will help edge and cloud administrators to evaluate the energy-efficiency of heterogenous severs architectures in a datacenter. We exemplify the applicability of the dataset, generated by our proposed framework, in power prediction modeling and energy-aware scheduling for green computing scenarios. © 2024 Elsevier B.V.. All rights reserved.

关键词： Internet of things

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TSITE IP: A Case Study of Intellectual Property Distributed Platform based on Cloud Services 23

TSITE IP: A Case Study of Intellectual Property Distributed ...

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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Wang, Yang School of Intellectual Property Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9781665494571

In recent years, the 'whole chain' development level of China's intellectual property creation, protection and application has been greatly improved. At the same time, cloud computing technology is booming, and intellectual property data distributed platforms based on cloud storage are emerging one after another. Firstly, this paper introduces the domestic intellectual property cloud platform services from the perspectives of government, state-owned enterprises and private enterprises;Secondly, four typical distributed platforms provided by commercial resources are selected to summarize the problems faced by the operation mode of domestic intellectual property services;then, it compares and discusses the functions and service modes of domestic intellectual property distributed platform, and takes TSITE IP as an example, puts forward the design and construction strategies of intellectual property protection, intellectual property operation service distributed platform and operation service mode under the background of information age. Finally, according to the development of contemporary information technology, this paper puts forward challenges and development direction for the future development of intellectual property platform. © 2021 IEEE.

关键词： Computers Cloud computing Government Distributed databases Intellectual property Market research Information age

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Indian Sign Language Classification using Advancement of CNN 7

Indian Sign Language Classification using Advancement of CNN

引用

7th international conference on Electronics, Materials engineering and Nano-technology, IEMENTech 2023

作者： Suvvari, Bhavishya Prathibhamol, C.P. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Enginering Amritapuri India

ISBN: (纸本)9798350305517

In our increasingly digital world, addressing the communication needs of Indian Sign Language (ISL) users is a pressing challenge. this research focuses on developing an advanced Convolutional Neural Network (CNN) model for real-time ISL gesture classification. the paper aims to design a CNN-based system capable of recognizing and classifying a wide range of ISL gestures, involving convolutional layers, pooling layers, and fully connected layers. the primary objective is to provide an innovative and efficient solution for real-time ISL gesture classification, empowering the hearing-impaired community. the novelty lies in leveraging CNNs to decode the complexity of ISL gestures in various media, a milestone in the field. Our analysis indicates that the proposed methodology outperforms existing techniques with an accuracy of 91%, a precision of 92%, a recall of 90%, and an F-measure of 91%, demonstrating the robustness and effectiveness of the CNN-based approach. In summary, this research presents a pioneering solution for real-time ISL gesture recognition, utilizing CNNs to offer efficient communication tools, enhancing accessibility and inclusivity for the hearing-impaired. © 2023 IEEE.

关键词： Image recognition

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Unveiling the World of Code Obfuscation: A Comprehensive Survey 7

Unveiling the World of Code Obfuscation: A Comprehensive Sur...

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7th IEEE international conference on Computational Systems and Information technology for Sustainable Solutions, CSITSS 2023

作者： Vishwas, Gade Nithin, Nayini Sai Varshith, Peddineni Belwal, Meena Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham Department of Computer Science & Engineering India

ISBN: (纸本)9798350343144

Obfuscating the source code is a good technique to prevent the false access and reverse engineering. For achieving obfuscation of the code structure and make it difficult for people to understand while preserving functionality, there are several methods that must be used. Code transformation, data obfuscation and control flow modification are the techniques used in code obfuscation. these operations are carried out by deploying techniques involving changing the variable names, useless code insertion as well as data encryption measures. We hope to give readers a good knowledge of code obfuscation methods with the help of this survey. Coders, developers, analysts, security specialists everyone will be good for understanding of the techniques, groups, and classes present in code obfuscation from this study. By classifying different code obfuscations into several categories based on their objectives and the modifications they make to the code, an organised system framework for analysing and using code obfuscation methods will be provided. © 2023 IEEE.

关键词： Data obfuscation

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Overview of Medical Data Privacy Protection based on Blockchain technology 7

Overview of Medical Data Privacy Protection based on Blockch...

引用

7th IEEE international conference on Smart Cloud, SmartCloud 2022

作者： Chen, Lin Yu, Qingchun Liang, Wei Cai, Jiahong Zhu, Hangyu Xie, Songyou Hunan University of Science and Technology Hunan Key Laboratory for Service computing and Novel Software Technology School of Computer Science and Engineering Xiangtan China Shenzhen Research Institute Sun Yat-sen University and Novel Software Technology ShenZhen China Hunan University College of Computer Science and Electronic Engineering Changsha China

ISBN: (数字)9781665451796

ISBN: (纸本)9781665451796

With the increasing growth of electronic medical data, the difficulties of data sharing among medical institutions and the leakage of data privacy have become the focus of the public and medical workers. the blockchain has the characteristics of decentralization, traceability, and immutability, which can provide new ideas for fine-grained secure access to medical research. this article first introduces blockchain and blockchain-based privacy protection technology;then analyzes the advantages and disadvantages of electronic medical records, and introduces the current development status of electronic medical records based on blockchain technology;then from data encryption, access the three aspects of control and transaction anonymity introduce the medical data privacy protection method based on blockchain technology;finally, the full text is summarized and prospected. © 2022 IEEE.

关键词： Blockchain

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Siamese tracker based on motion potential energy 7

Siamese tracker based on motion potential energy

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Tang, Zhao Liu, Mingyang Gao, Yun Yunnan University School of Information Science and Engineering Kunming China

ISBN: (纸本)9781665478571

Siamese trackers have been widely concerned recently. though many trackers have obtained better performance when the target encounter fast motion or changes the direction of motion, most trackers still utilize the previous frame's center to generate the center of the search box in the current frame, which may lead to loss of the tracked target. In this paper, we utilize the potential energy to the expended target detection region. Specially, we predict the search area of the current frame by analyzing the potential energy of the object's historical frame. Abundant experiments show that our tracker with better robustness than most trackers on tracking benchmarks. Especially, the compared results show our tracker has an excellent performance in the fast motion challenge. © 2022 IEEE.

关键词： Potential energy

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Comparative Analysis of Hardware and Software Utilization in the Implementation of Full Adder Using Vivado 7

Comparative Analysis of Hardware and Software Utilization in...

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2023 7th international conference On computing, Communication, Control And Automation, ICCUBEA 2023

作者： Shrivastava, Shishir Kaur, Amanpreet Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350304268

It's an issue for certain developing nations to get enough electricity. By researching and developing a powerful Full adder on the Vivado platform across multiple generations of FPGAs, we have made significant progress towards realising the goal of eco-friendly communication. A wide variety of FPGA families were studied to accomplish this. Several other FPGA families, including Genesys, Kintex, and Zed, are implemented using the Seven series boards. the goal of this study was to determine which FPGA family had the most efficient power usage overall. Each of Genesys, Kintex, and Zed consumes a different amount of energy: 1.08 W, 1.515 W, and 1.025 W, respectively. the temperature in Genesys is 53 degrees Celsius, in Kintex it's 71.1, and in Virtex it's 70.2. Power dissipation can be minimised by switching to the Genesys family of 7 series of components from the other two families, as explained in the manual. Among FPGA families, Zed's power efficiency is on par with the rest. When compared to competing boards, Zed Boards offer significant energy savings. © 2023 IEEE.

关键词： Energy FPGAs Full Adder Genesys Kintex Zed

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Application of Vulnerability Detection technology Based on Network Space Recognition 7th

Application of Vulnerability Detection Technology Based on N...

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7th international conference on Innovative computing, IC 2024

作者： Chen, Hongxi Lin, Fanfeng Macao Polytechnic University China Ulaanbaatar Erdem University Ulaanbaatar Mongolia Nan’an Branch Quanzhou Yixing Electrical Engineering Construction Co. Ltd. Quanzhou China Xiamen Taqu Network Technology Co. Ltd. Xiamen China

ISBN: (纸本)9789819741922

the rapid development of the Internet has brought great convenience to people, and the impact of network attacks caused by vulnerabilities has increased the impact on enterprises and people. However, the vulnerability scanner on the market has defects with insufficient performance and effect. In order to discover and repair loopholes, this article analyzes the principle of the scanner and proposes some improvement and optimization discussions, this application of vulnerability detection technology based on network space recognition, which can discover and repair vulnerabilities early to prevent safety risks. this method effectively improves the identification efficiency and accuracy of vulnerabilities, and can effectively improve the level of network security. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Network security

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