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

共 10988 条记录，以下是171-180 订阅

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Conservative Periodic Reallocation Framework: Deciding research resources for research projects based on network DEA 7

Conservative Periodic Reallocation Framework: Deciding resea...

引用

7th international conference on Communication engineering and technology, iccet 2024

作者： Miao, Yuqing Liu, Feixue Guan, Keqin Xiu, Yuxuan Chen, Bokui Chan, Wai Kin Victor Tsinghua-Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Institute Of Data And Information Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Department Of Network Intelligence Peng Cheng Laboratory Shenzhen518055 China International Science And Technology Information Center Shenzhen518055 China

ISBN: (纸本)9798350373271

Research resource allocation is a significant undertaking for scientific research project management. the data envelopment analysis (DEA) method offers central decision-makers a novel performance-based solution for resource allocation problems. this paper introduces a network DEA-based approach, utilizing the temporal relation to reallocate the total inputs among all decision-making units (DMUs). Specifically, We employ an adaptive framework for iteratively solving the lower bounds of input resource changes and present a centralized allocation strategy that comprehensively considers the capabilities of all DMUs. Finally, we apply this framework on two-period research projects sponsored by a public fund in B city to get a reallocation plan. © 2024 IEEE.

关键词： Data envelopment analysis

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Small Signal Model Design of Full Bridge LC-LC Series Parallel Resonant Inverter 7

Small Signal Model Design of Full Bridge LC-LC Series Parall...

引用

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

作者： Zhang, Bin Hei, Guoyu Chongqing Aerospace Polytechnic School of Electronic Information and Communication Engineering Chongqing400021 China

ISBN: (纸本)9781665478571

this paper mainly studies the dynamic performance of constant frequency phase-shift controlled full bridge LC-LC series parallel resonant inverter, analyzes its small signal model by phasor domain modeling, and obtains the large signal model in phasor domain of resonant inverter by transforming the time domain into phasor domain. then, after adding small signal disturbance, the small signal model in phasor domain can be obtained. On this basis, the loop compensation design is carried out for the large signal and small signal models established by phasor modeling method. Finally, an experimental prototype with an output power of 200W is built. the simulation results verify the correctness of the theoretical analysis and design. © 2022 IEEE.

关键词： Electric inverters

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Space time smoothing algorithm for DOA estimation of coherent signals 7

Space time smoothing algorithm for DOA estimation of coheren...

引用

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

作者： Ding, Zhoupeng Li, Hongtao Kuang, Qi Xu, Chunbao Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing China

ISBN: (纸本)9781665478571

When the coherent signal received by the array is in low signal-to-noise ratio (SNR), the DOA estimation performance is greatly descended. To solve this problem, a method of reconstructing the received data matrix by using the subarray space-time correlation matrix is proposed (STSS). By making full use of the strong correlation of signal in time domain and space domain, a subarray space time correlation matrix is constructed to suppress noise. theoretical analysis and statistical results show that the proposed method improves the estimation performance of DOA under low SNR. the proposed method has lower SNR;Even when the number of snapshots is small and the angle between coherent sources is close, it has better estimation performance than other classic methods. © 2022 IEEE.

关键词： Direction of arrival

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QHSL image encryption scheme based on a logistic chaotic system 23

QHSL image encryption scheme based on a logistic chaotic sys...

引用

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： Yan, Fei Li, Mao Li, Nianqiao Iliyasu, Abdullah M. School of Computer Science and Technology Changchun University of Science and Technology Changchun130022 China College of Engineering Prince Sattam Bin Abdulaziz University Al-Kharj11942 Saudi Arabia School of Computing Tokyo Institute of Technology Yokohama226-8502 Japan

ISBN: (纸本)9781665494571

On digital computers, the hue, saturation, and lightness (HSL) image model is especially useful in feature detection, image segmentation, and other operations in robot vision, object recognition, etc. On the quantum computing paradigm, such a model was only recently formulated and many new inroads with it are just beginning. Our study proposes a scheme to secure quantum images encoded using the quantum HSL (QHSL) image model. the proposed QHSL encryption scheme (or simply QHES) utilises logistic mapping to induce the chaotic system at the heart of the QHES strategy. the scheme consists of a quantum logistic chaos unit composed of quantum arithmetic modules to generate chaotic sequences. this is followed by a quantum logistic key generation that is subsequently used to encrypt the HSL components of QHSL images. the proposed scheme exploits quantum parallelism to execute its encryption procedure which leads to significant reduction in computational resources. Results of simulation-based experiments reported suggest potentials of the proposed QHES as an efficient cryptosystem on quantum computers. © 2021 IEEE.

关键词： Heart Image segmentation Quantum computing Computational modeling Feature detection Robot vision systems Parallel processing

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Research Convey on Text Classification Method based on Deep Learning 7

Research Convey on Text Classification Method based on Deep ...

引用

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

作者： Wang, Zhizhi Zhang, Zhonglin Lanzhou Jiaotong University School of Electronic and Information Engineering Lanzhou China

ISBN: (纸本)9781665478571

Deep learning technology has been rapidly developed in recent years and has been increasingly applied in the field of text classification, and many effective and novel classification methods have emerged. the development history of text classification is introduced, the text classification problem based on deep neural networks is analyzed, the characteristics and performance of various classical classification methods are compared and summarized, and it is shown that deep neural networks are more advantageous than traditional machine learning methods in the field of text classification on the whole. the shortcomings of current deep text classification models are pointed out and future research directions prospect. © 2022 IEEE.

关键词： Recurrent neural networks

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Application of Consistent Hash Based on Virtual Node in Traffic Big Data 7

Application of Consistent Hash Based on Virtual Node in Traf...

引用

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

作者： Wang, Miao Sun, Quanling Anhui Jianzhu University School of Electronic and Information Engineering Anhui Hefei China

ISBN: (纸本)9781665478571

With the development of internet and artificial intelligence, the data volume of all industries has increased exponentially. How to store these massive data has become the core problem at this stage. Taking traffic big data as an example, this paper introduces the framework of distributed storage and consistent hashing technology. At the same time, an improved consistent hashing algorithm based on virtual node is proposed. It solves the hot spot problem in network storage and the problem of data skew caused by uneven node distribution. Experimental results show that this adaptive consistent hashing algorithm based on virtual node can provide better node allocation efficiency and better adaptability. © 2022 IEEE.

关键词： Big data

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Cloud-edge collaborative data processing architecture for state assessment of transmission equipments 7

Cloud-edge collaborative data processing architecture for st...

引用

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

作者： Chen, Honghu Zhou, Te Yang, Chao Li, Qiang Peng, Bo Cheng, Qing Southwest University of Science and Technology School of Information Engineering Mianyang China Tsinghua University Sichuan Energy Internet Research Institute Chengdu China

ISBN: (纸本)9781665478571

In the process of asset status assessment, the power transmission intelligent Internet of things (IoT) with smart towers as the core IoT nodes faces many problems such as large workload of physical information, poor data quality, large data processing delay and heavy cloud computing pressure. At the same time, traditional front-end sensing equipment is limited by the actual hardware computing power level and low power consumption requirements, which makes the front-end algorithm low in intelligence and consumes a lot of manual data verification. In view of the above problems, this paper proposes a cloud-edge collaborative data processing architecture suitable for transmission asset status assessment by combining big data framework, deep learning and edge computing technology. the architecture clearly divides the functions of the cloud, edge and data terminals based on the status assessment requirements of power transmission assets, and then divides a part of the data processing and analysis operations in the cloud to the edge, which reduces the computing pressure on the cloud and enhances resources utilization rate. © 2022 IEEE.

关键词： Edge computing

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Construction and optimization of heterogeneous memory system based on NUMA architecture 7

Construction and optimization of heterogeneous memory system...

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

作者： Jing, Xiaojuan Li, Haixiang Xi'an Institute of Traffic Engineering Faculty of Humanities and Management Shaanxi China

ISBN: (纸本)9781665478571

With the rapid development of computer software and hardware technology, dynamic random access memory (Dynamic Random Access Memory) is limited by the defects of process and energy consumption, and can no longer meet the requirements of non-uniform memory access (Non Uniform Memory Access, NUMA) systems. Requirements for memory capacity and power consumption. Although the emergence of a new type of non-volatile memory (NVM) can avoid this defect, its read and write is not balanced and cannot be directly used as system memory. this paper first sorts out the development status of heterogeneous memory, and then establishes three heterogeneous schemes, namely hierarchical architecture, parallel architecture and hybrid architecture, and optimizes the three schemes from the aspects of memory management, page migration and hardware level. DRAM and NVM are efficiently integrated and managed to meet the needs of the current rapid development of memory. © 2022 IEEE.

关键词： Dynamic random access storage

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Safe and Economic Dispatching Model of Distribution Network Based on Cloud Particle Swarm Optimization Algorithm 7

Safe and Economic Dispatching Model of Distribution Network ...

引用

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

作者： Han, Aoyang Zhou, Shengqi Jian, Xuehui Li, Zhengjie Qingdao Electric Power Company Qingdao266002 China Qingdao University School of Electrical Engineering Qingdao266071 China

ISBN: (纸本)9781665478571

the economic and safe dispatching of distribution network is the basis of the operation of distribution network. the safe and economic dispatching model of distribution network based on cloud particle swarm optimization algorithm is proposed. the safe and economic dispatching model of distribution network mainly considers the two objectives of distribution network operation cost and voltage stability index, and the constraints mainly consider power balance condition and operation conditions of each distributed generation. the cloud particle swarm optimization algorithm is used to solve the safe and economic dispatching model. the simulation results show that the scheduling effect is satisfactory. © 2022 IEEE.

关键词： Particle swarm optimization (PSO)

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Detection of Traffic Sign Based on Improved YOLOv4 7

Detection of Traffic Sign Based on Improved YOLOv4

引用

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

作者： Liu, Zeliang Musha, Yasenjiang Wu, Huawen Xinjiang University School of Mechanical Engineering Urumqi China Xinjiang Institute of Technology Experimental Training Center Aksu China

ISBN: (纸本)9781665478571

To improve safe driving and reduce the mental fatigue of drivers, accurate and fast access to traffic sign guidance information in road scenes is needed. this work proposes a traffic sign detection method based on improved YOLOv4. First, the MLP architecture is combined with a convolutional neural network to enhance the network's ability to detect objects. Second, the same-level connection is added within PANet to enhance the feature information extracted by the network. Experiments show that the improved YOLOv4 algorithm can improve the detection accuracy of 416×416 sample images from 72.95% to 78.84%, and still meet the real-time detection requirements. After comparing our method with similar algorithms, the experimental results show that our algorithm has certain advantages. © 2022 IEEE.

关键词： Traffic signs

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