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research on Off-design Performance Prediction Method of diagonal Compressor With Adjustable Guide Vane

Kung Cheng Je Wu Li Hsueh Pao/Journal of engineering Thermophysics 2025年第3期46卷 777-789页

作者： Zhang, Yuxin Zuo, Zhitao Guo, Wenbin Li, Jingxin Chen, Haisheng Qin, Wei Institute of Engineering Thermophysics Chinese Academy of Science Beijing100190 China University of Chinese Academy of Science Beijing100049 China National Energy Large-scale Physical Energy Storage Technology R&D Center of Bijie High-Tech Industrial Development Zone Bijie551712 China Nanjing Institute of Future Energy System Institute of Engineering Thermophysics Chinese Academy of Science Nanjing211135 China

The diagonal compressor is one of the important types of combined compressors for large-scale compressed air energy storage system (CAES). The off-design performance prediction is crucial in the research and development of the diagonal compressor. It can not only quickly evaluate the initial design parameters, but also select the overall optimal parameters according to the characteristics of the off-design operation of the compressor in CAES. The accuracy of the performance prediction model is essential. In this paper, a one dimensional performance prediction program for the diagonal compressor of the developing large-scale CAES is established by programming, and the optimal selection result of the loss model combination of the program is given through the design point parameters. Then, the off-design loss model is modified by using the flow coefficient, and the results are verified by CFd. The results show that this method can effectively predict the off-design performance of the diagonal compressor under different guide vane openings. © 2025 Science Press. All rights reserved.

关键词： Compressed air energy storage

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A Multi-Variant Voting Algorithm Based on dynamic Feedback

A Multi-Variant Voting Algorithm Based on Dynamic Feedback

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Computer Communication and Network Security (CCNS), International Conference on

作者： Shao Yuwen Zhang Zheng Li Bingzheng Ji Xinsheng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China R&D Center National Digital Switching System Engineering & Technological Zhengzhou China

Multi-variant execution framework can protect software security. For the problem of performance loss caused by too many voting times in the existing multi-variant execution framework, this paper proposes a multi-variant voting algorithm based on dynamic feedback, which can make the multi-variant continuously improve its corresponding voting strategy at runtime. Using this algorithm, the multi-variant can get a stable voting range, reduce the number of voting, and effectively improve the performance of multi-variant.

关键词： runtime Heuristic algorithms Software algorithms Network security Software Computer security

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Fluorine-Free Paraffin Binder-Based dry Thick Electrodes Toward Sustainable and Efficient Battery Manufacturing

SSRN

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SSrN 2024年

作者： Kim, Min Kyung Yu, Taegyun Jang, Sungbin Lee, Juho Jang, Min Oh, Hyeseong Cha, Hyungyeon Lee, Huiyeol Kang, Joonhee Lee, Seung Min Shim, Hyeongseok Lee, Kwon-Hyung Song, Gyujin Jin, Wooyoung Kim, Tae-Hee Jeong, Kyeong-Min Han, Joong Tark Yoo, Jung-Keun Song, Sanghyun Park, Myoungkeon Seong, Jinwoo Kim, dongoh Choi, Hyunwoo Seong, Minjong Lim, Min Jin Hwang, Wook ryol Nam, Jieun Jo, Sanghoon Kim, Jinsoo Ulsan Advanced Energy Technology R&D Center Korea Institute of Energy Research Ulsan Korea Republic of Department of Nano Fusion Technology Pusan National University Busan Korea Republic of Department of Organic Material Science and Engineering Pusan National University Busan Korea Republic of Ulsan Korea Republic of Changwon Korea Republic of Changwon Korea Republic of Seoul Korea Republic of R&D Center Rechargeable Battery Division Hanwha Momentum Seongnam Korea Republic of School of Mechanical Engineering Gyeongsang National University Jinju Korea Republic of R&D Center Yunsung F&C Co. Ltd. Anseong Korea Republic of Multiphysics Digital Twin Lab Trinity Engineering Seoul Korea Republic of

dry electrodes are being actively developed for sustainable and efficient battery manufacturing. Currently, polytetrafluoroethylene (PTFE) binders dominate dry processes, yet their production contributes to significant CO2 emissions, and concerns persist regarding their high fluorine content, especially considering evolving per- and polyfluorinated substances (PFAS) restrictions. Moreover, the poor adhesion of bare current collectors necessitates a wet coating-based primer layer with this binder. In this study, we introduce an alternative dry processing concept based on a thermoplastic fluorine-free binder with low environmental impact and high productivity. Paraffin, a short-chain family of saturated hydrocarbons known as an n-alkane, is the most stable chemical species owing to its C-H covalent bonds and the wide gap between highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energies. It also has a low melting temperature, allowing facile cohesion of the active materials to be interconnected by mild pressing activation. This novel dry electrode binder provides substantial electrochemical properties based on both NCM811 cathodes over 5 mAh cm−2 for 500 cycles. Furthermore, it implements true solvent-free adhesion without the wet-coating of primers on the current collector. This unique characteristic of paraffin can enable a powder-to-electrode manufacturing strategy with pattern coating, which alters the well-known PTFE-based freestanding electrode concept. This integrated approach bridges the gap between materials and processes, paving the way for sustainable advancements in battery electrode technology. © 2024, The Authors. All rights reserved.

关键词： Binders

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research on Network Application of Intelligent Campus Based on SdN technology

Research on Network Application of Intelligent Campus Based ...

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Image Processing and Computer Applications (ICIPCA), IEEE International Conference on

作者： Yunyi Mei Qi Shao Qingzhong Gao Tong Zhao Yanlong Zhang Lingzhi Jing Yang Yu CNPC Engineering Technology R&D Company Limited Beijing China National Engineering Research Center of Oil & Gas Drilling and Completion Technology Beijing China Kunlun Digital Technology Co. Ltd. Beijing China CNPC Great Wall Drilling Company Beijing China

There are some problems in traditional network architecture, such as traffic can not be real-time scheduling, business information can not be visualized, operation and maintenance is complex, and fault location efficiency is low. In order to meet the needs of “digital Petroleum” network infrastructure construction, a company introduced SdN technology into the campus office network, and carried out network optimization management and innovation practice, this paper puts forward a network transformation scheme based on SdN “The network follows the people”, through deploying SdN control server and adjusting the network equipment configuration, the office network can be expanded flexibly and maintained efficiently, to meet the needs of different types of application traffic classification management and intelligent precision scheduling, effectively improve the level of intelligent network management.

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An Ultra-compact Broadband Filter with Controllable Bandwidth Using the Quad-mode resonator

An Ultra-compact Broadband Filter with Controllable Bandwidt...

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International Conference on Communication technology (ICCT)

作者： Junjie Zhang Qing Liu Xian Wang Yufan Fu dewei Zhang China National Digital Switching System Engineering and Technology R&D Center Zhengzhou China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

In this paper, a novel quad-mode resonator based on stub-loaded stepped impedance resonator with self-coupled structure is proposed and utilized to realize ultra-compact wideband bandpass filter with controllable bandwidth. By introducing the self-coupled structure, more compact size with 7.32 mm×7.60 mm and more design freedoms have been realized. Then, a wideband filter covering the lower UWB band (BW: 2.06-6.18 GHz, FBW: 102%) is designed to validate the proposed design procedure. The filter was then simulated, fabricated and measured to compare with the theoretical predictions. A good agreement between the simulated and measured results validates the effectiveness of the proposed novel resonator and corresponding filter design technique.

关键词： Band-pass filters resonant frequency resonator filters Wideband Broadband communication Passband Low-pass filters

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Negative Feedback dynamic Scheduling Algorithm based on Mimic defense in Cloud Environment 6

Negative Feedback Dynamic Scheduling Algorithm based on Mimi...

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6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Zhou, Mengli Chen, Fucai Liu, Wenyan Liang, Hao Zhongyuan Network Security Research Institute Zhengzhou University Zhengzhou China National Digital Switching System Engineering Technological R D Center Zhengzhou China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186351

The virtualization technology in cloud environment brings some data and privacy security issues to users. Aiming at the problems of virtual machines singleness, homogeneity and static state in cloud environment, a negative feedback dynamic scheduling algorithm is proposed. This algorithm is based on mimic defense and creates multiple virtual machines to complete user request services together through negative feedback control mechanism which can achieve real-time monitor of the running state of virtual machines. When virtual machines state is found to be inconsistent, this algorithm will dynamically change its execution environment, resulting in the attacker's information collection and vulnerability exploitation process being disrupting. Experiments show that the algorithm can better solve security threats caused by the singleness, homogeneity and static state of virtual machines in the cloud, and improve security and reliability of cloud users. © 2020 IEEE.

关键词： Feedback control

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Improvement of Face detection Algorithm Based on Lightweight Convolutional Neural Network 6

Improvement of Face Detection Algorithm Based on Lightweight...

引用

6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Zhu, Lingling Chen, Fucai Gao, Chao Zhongyuan Network Security Research Institute Zhengzhou University Zhengzhou China National Digital Switching System Engineering Technological R D Center Zhengzhou China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186351

In recent years, the application of visual processing algorithm based on deep network on mobile terminal has become a popular research problem. In this paper, a new face loss function is designed to solve the problems of limited computing power and storage resource of mobile devices when face detection is applied to mobile terminal. The face detection algorithm based on SSH (single stage headless face detector) is improved in two aspects: firstly, the feature of sample data is extracted by using the lightweight convolutional neural network based on MobileNet, which can effectively reduce the amount of parameters and calculation of the model;Secondly, the deformable convolution layer is introduced into the detection module of SSH network to improve the modeling ability of face deformation. At the same time, the method of knowledge distillation is introduced. The high-precision large network model is used as the teacher network, and the small network model of the improved SSH algorithm is used as the student network to further improve performance of the detection model. Experimental results on the wider face dataset show that the proposed method can significantly reduce the complexity of the model, effectively reduce the size of the face detection model and improve the speed of model detection, while ensuring the detection accuracy. Therefore, the proposed method is expected to be better applied to face detection equipment in mobile terminals. © 2020 IEEE.

关键词： Convolution

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Minimally buffered router and deflection routing algorithm for 3d mesh NoC

Minimally buffered router and deflection routing algorithm f...

引用

International Conference on Intelligent Computing, Communication and devices, ICCd 2017

作者： Sun, Meidong Liu, Qinrang Yan, Binghao Wang, Xiaolong National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

ISBN: (纸本)9789811089435

The 3d NoC, which blends 3d IC with NoC, overcomes the performance bottleneck of 2d NoC. However, the conventional buffered routers in 3d NoC have the problem of consuming a large amount of resources. In this paper, we propose 3d minimally buffered router using priority deflection (3d MinBPd). This router is the 3d extension of MinBWd and introduces TSV Buffers at the same time. Then, a priority-based deflection routing algorithm is proposed, which only needs local information to compute the priority of flit. The experimental results show that the performance of the 3d MinBPd is better than the reference objects’ under the network of 8 × 8 × 4, which is similar to the traditional buffered routers’ in the low and medium packet injection rate. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Network-on-chip

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A dual-band Bandpass Filter with The Second Passband Independently Tunable

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Journal of Physics: Conference Series 2022年第1期2187卷

作者： Hong Yang dewei Zhang Yi Zhang Chenge Bian Guanghui Sun China National Digital Switching System Engineering and Technology R&D Center Zhengzhou Henan 450001 China

This article proposes a dual-band bandpass filter (BPF) based on stub-loaded resonator (SLr) with the second passband independently tunable. Varactors loaded on the end of the central stub are employed to independently tune the second passband. Two shunt quarter-wavelength open stubs and source-load (S-L) coupling are applied to generate transmission zeros (TZs) to enhance the selectivity and improve the out-band rejection. For verification, a tunable dual-band BPF is designed, fabricated and tested, which realizes frequency tuning range (FTr) of the second passband from 2.24 to 2.71 GHz with constant fractional bandwidth (CFBW) of 1.5±0.4%. The simulated and measured results are in good accordance.

关键词：

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Cloud-magnetic resonance imaging system:In the era of 6G and artificial intelligence

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Magnetic resonance Letters 2025年第1期5卷 52-63页

作者： Yirong Zhou Yanhuang Wu Yuhan Su Jing Li Jianyu Cai Yongfu You Jianjun Zhou di Guo Xiaobo Qu Department of Electronic Science Intelligent Medical Imaging R&D CenterFujian Provincial Key Laboratory of Plasma and Magnetic ResonanceNational Institute for Data Science in Health and MedicineXiamen UniversityXiamen361104China Department of Electronic Science Key Laboratory of Digital Fujian on IoT CommunicationXiamen UniversityXiamen361104China Shanghai Electric Group Co. LtdShanghai200002China China Telecom Group Quanzhou362018China China Mobile Group Xiamen361009China Department of Radiology Zhongshan Hospital(Xiamen)Fudan UniversityXiamen Municipal Clinical Research Center for Medical ImagingFujian Province Key Clinical Specialty Construction Project(Medical Imaging Department)Xiamen Key Laboratory of Clinical Transformation of Imaging Big Data and Artificial IntelligenceXiamen361006China School of Computer and Information Engineering Xiamen University of TechnologyXiamen361024China

Magnetic resonance imaging(MrI)plays an important role in medical diagnosis,generating petabytes of image data annually in large *** voluminous data stream requires a significant amount of network bandwidth and extensive storage ***,local data processing demands substantial manpower and hardware *** isolation across different healthcare institutions hinders crossinstitutional collaboration in clinics and *** this work,we anticipate an innovative MrI system and its four generations that integrate emerging distributed cloud computing,6G bandwidth,edge computing,federated learning,and blockchain *** system is called Cloud-MrI,aiming at solving the problems of MrI data storage security,transmission speed,artificial intelligence(AI)algorithm maintenance,hardware upgrading,and collaborative *** workflow commences with the transformation of k-space raw data into the standardized Imaging Society for Magnetic resonance in Medicine raw data(ISMrMrd)***,the data are uploaded to the cloud or edge nodes for fast image reconstruction,neural network training,and automatic ***,the outcomes are seamlessly transmitted to clinics or research institutes for diagnosis and other *** Cloud-MrI system will save the raw imaging data,reduce the risk of data loss,facilitate inter-institutional medical collaboration,and finally improve diagnostic accuracy and work efficiency.

关键词： Magnetic resonance imaging Cloud computing 6G bandwidth Artificial intelligence Edge computing Federated learning Blockchain

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