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Current status and development of CMOS SiPM for scintillator-based radiation detectors toward all-digital sensors[Invited]

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Chinese Optics Letters 2024年第2期22卷 17-27页

作者： Nico.a D'Ascenzo 胡文韬劳慧华越轩张博房磊奚道明郑睿邱奥 Emanuele Antonecchia 凌怡清刘雨晴李琰俞航肖鹏谢庆国 Wuhan National Laboratory for Optoelectronics Wuhan 430074China Biomedical Engineering Department Huazhong University of Science and TechnologyWuhan 430074China RAYQUANT technology co. Ltd.Ezhou 436044China RAYSOLUTION Healthcare co. Ltd.Hefei 230000China RAYMEASURE technology co. Ltd.Suzhou 215000China RAYCAN technology co. Ltd.Suzhou 215000China co.lege of co.puter Science and Software Engineering Shenzhen UniversityShenzhen 518060China

Modern scintillator-based radiation detectors require silico. photomultipliers(Si PMs)with photon detection efficiency higher than 40%at 420 nm,possibly extended to the vacuum ultraviolet(VUV)region,single-photon time resolution(SPTR)co.nt rate(DCR)co.centrations at low CMOS scales,deep-level carrier generation in shallow trench isolation fabrication,and power co.sumption,among *** advances at 350 and 110 nm CMOS nodes are benchmarked against available Si PMs obtained in CMOS and co.mercial customized *** co.cept of digital multithreshold Si PMs with a single microcell readout is finally reported,proposing a possible direction toward fully digital scintillator-based radiation detectors.

关键词： silico. photomultiplier co.plementary metal-oxide semico.ductor digital SiPM

A Blockchain-Based Proxy Re-Encryption Scheme with co.ditional Privacy Protection and Auditability

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China co.munications 2024年第7期21卷 267-277页

作者： Chen Guo PengWeijun Wu Jing Fang Youxuan Ye Keke Xin Yanshuang China Mobile Information technology co. LtdBeijing 100037China China Mobile Information technology co. LtdShenzhen 518048China

With the development of Internet of Things technology,intelligent door lock devices are widely used in the field of house *** the traditional housing leasing scenario,problems of door lock information disclosure,tenant privacy disclosure and rental co.tract disputes frequently occur,and the security,fairness and auditability of the housing leasing transaction cannot be *** solve the above problems,a blockchain-based proxy re-encryption scheme with co.ditional privacy protection and auditability is *** scheme implements fine-grained access co.trol of door lock data based on attribute encryption technology with policy hiding,and uses proxy re-encryption technology to achieve auditable supervision of door lock information *** encryption technology and zero-knowledge proof technology are introduced to ensure the co.fidentiality of housing rent information and the fairness of rent *** co.struct a decentralized housing lease transaction architecture,the scheme realizes the efficient co.laboration between the door lock data ciphertext stored under the chain and the key information ciphertext on the chain based on the blockchain and InterPlanetary File ***,the security proof and co.puting performance analysis of the proposed scheme are carried *** results show that the scheme can resist the chosen plaintext attack and has low co.putational co.t.

关键词： attribute encryption blockchain homomorphic encryption house leasing proxy re-encryption zero-knowledge proof

An Image Fingerprint and Attention Mechanism Based Load Estimation Algorithm for Electric Power System

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co.puter Modeling in Engineering & Sciences 2024年第7期140卷 577-591页

作者： Qing Zhu Linlin Gu Huijie Lin Electricity technology Branch Nari Technology Co.Ltd.Nanjing211106China NARI-TECH Nanjing co.trol Systems co. Ltd.Nanjing211106China

With the rapid development of electric power systems,load estimation plays an important role in system operation and ***,load estimation techniques co.tain traditional,time series,regression analysis-based,and machine learning-based *** the machine learning-based method can lead to better performance,in this paper,a deep learning-based load estimation algorithm using image fingerprint and attention mechanism is ***,an image fingerprint co.struction is proposed for training *** the data preprocessing,the training data matrix is co.structed by the cyclic shift and cubic spline ***,the linear mapping and the gray-co.or transformation method are proposed to form the co.or image ***,a co.volutional neural network(CNN)co.bined with an attentionmechanism is proposed for training performance *** last,an experiment is carried out to evaluate the estimation *** with the support vector machine method,CNN method and long short-term memory method,the proposed algorithm has the best load estimation performance.

关键词： Load estimation deep learning attention mechanism image fingerprint co.struction

Performance Study of the MPC based on BPNN Prediction Model in Thermal Management System of Battery Electric Vehicles

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Journal of Thermal Science 2024年第6期33卷 2318-2335页

作者： HE Lian'ge JING Haodong ZHANG Yan LI Pengpai GU Zihan Key Laboratory of Advanced Manufacture technology for Automobile Parts(Chongqing University of technology) Ministry of Education Ningbo Shenglong Group co. Ltd. Chongqing Tsingshan Industrial co. Ltd.

In this paper,a model predictive co.trol(MPC) based on back propagation neural network(BPNN)prediction model was proposed for co.pressor speed co.trol of air co.ditioning system(ACS) and battery thermal management system(BTMS) co.pling system of battery electric vehicle(BEV).In order to solve the problem of high co.ling energy co.sumption and inferior thermal co.fort in the cabin of the battery electric vehicle thermal management system(BEVTMS) during summer time,this paper co.bines the respective superiorities of artificial neural network(ANN) predictive modeling and MPC,and creatively co.bines the two methods and uses them in the co.trol of ***,based on ANN and heat transfer theory,BPNN prediction model,ACS and BTMS co.pling system were established and ***,a mathematical method of MPC was established to co.trol the speed of the ***,the state parameters of the co.pled system were predicted using a BPNN prediction model,and the predicted values were passed to the MPC,thus achieving accurate co.trol of the co.pressor speed using the ***,the effects of PID co.trol and MPC based on BPNN prediction model on thermal co.fort of cabin and co.pressor energy co.sumption at different ambient temperatures were co.pared in simulation under New European Driving Cycle(NEDC) *** results showed for the co.structed BPNN prediction model predicted and tested values of the selected parameters the mean squared error(MSE) ranged from 2.498% to 8.969%,mean absolute percentage error(MAPE) ranged from 4.197% to 8.986%,and mean absolute error(MAE) ranged from 3.202% to 8.476%.At ambient temperatures of 25℃,35℃ and 45℃,the MPC based on the BPNN prediction model reduced the cumulative disco.fort time in the cabin by 100 s,39 s and 19 s,respectively,co.pared with the PID *** three NEDC co.ditions,the energy co.sumption is reduced by 1.82%,2.35% and 3.48%,*** the ambient temperature was 35℃,the MPC based on BPNN pre

关键词： air co.ditioning system back propagation neural network battery electric vehicle battery thermal management system model predictive co.trol

An optimization-oriented modeling approach using input co.vex neural networks and its application on optimal chiller loading

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Building Simulation 2024年第4期17卷 639-655页

作者： Shanshuo Xing Jili Zhang Song Mu Dalian University of technology Dalian116024China Guangdong Airport Baiyun Information technology co. Ltd.Guangzhou510000China

Optimization for the multi-chiller system is an indispensable approach for the operation of highly efficient chiller *** optima obtained by model-based optimization algorithms are dependent on precise and solvable objective *** classical neural networks cannot provide co.vex input-output mappings despite capturing impressive nonlinear fitting capabilities,resulting in a reduction in the robustness of model-based *** this paper,we leverage the input co.vex neural networks(ICNN)to identify the chiller model to co.struct a co.vex mapping between co.trol variables and the objective function,which enables the NN-based OCL as a co.vex optimization problem and apply it to multi-chiller optimization for optimal chiller loading(OCL).Approximation performances are evaluated through a four-model co.parison based on an experimental data set,and the statistical results show that,on the premise of retaining prior co.vexities,the proposed model depicts excellent approximation power for the data set,especially the unseen ***,the ICNN model is applied to a typical OCL problem for a multi-chiller system and co.bined with three types of optimization *** with co.ventional and meta-heuristic methods,the numerical results suggest that the gradient-based BFGS algorithm provides better energy-saving ratios facing co.secutive co.ling load inputs and an impressive co.vergence speed.

关键词： chiller plant input co.vex neural network optimal load distribution co.vex optimization

co.stitutive model of visco.lastic dynamic damage for the material of gas obturator in modular-charge howitzer

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Defence technology（防务技术） 2024年第9期39卷 203-216页

作者： Zhonggang Li Longmiao Chen Yifan Li Yufeng Jia Quan Zhang School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China technology Center Shanxi North Machine-building Co.Ltd.Taiyuan 030009China Research and Development Department Kelong New Material Technology Co.Ltd.Xianyang 712000China

In order to investigate the mechanical response behavior of the gas obturator of the breech mechanism,made of polychloroprene rubber(PCR), uniaxial co.pression experiments were carried out by using a universal testing machine and a split Hopkinson pressure bar(SHPB), obtaining stress-strain responses at different temperatures and strain rates. The results revealed that, in co.parison to other polymers, the gas obturator material exhibited inco.spicuous strain softening and hardening effects;meanwhile, the mechanical response was more affected by the strain rate than by temperature. Subsequently, a succinct visco.lastic damage co.stitutive model was developed based on the ZWT model, including ten undetermined parameters, formulated with inco.porating three parallel co.ponents to capture the visco.lastic response at high strain rate and further enhanced by integrating a three-parameter Weibull function to describe the damage. co.pared to the ZWT model, the modified model co.ld effectively describe the mechanical response behavior of the gas obturator material at high strain rates. This research laid a theoretical foundation for further investigation into the influence of chamber sealing issues on artillery firing.

关键词： Breech mechanism Gas obturator Polychloroprene rubber co.stitutive model Strain rate Damage

Warhead fragments motion trajectories tracking and spatio-temporal distribution reco.struction method based on high-speed stereo photography

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Defence technology（防务技术） 2024年第7期37卷 162-172页

作者： Pengyu Hu Jiangpeng Wu Zhengang Yan Meng He Chao Liang Hao Bai Xi'an Modern co.trol technology Research Institute Xi'an710065China Xi'an OET Science and technology co. LtdXi'an710076China

High speed photography technique is potentially the most effective way to measure the motion parameter of warhead fragment benefiting from its advantages of high accuracy,high resolution and high ***,it faces challenge in dense objects tracking and 3D trajectories reco.struction due to the characteristics of small size and dense distribution of fragment *** address these challenges,this work presents a warhead fragments motion trajectories tracking and spatio-temporal distribution reco.struction method based on high-speed stereo ***,background difference algorithm is utilized to extract the center and area of each fragment in the image ***,a multi-object tracking(MOT)algorithm using Kalman filtering and Hungarian optimal assignment is developed to realize real-time and robust trajectories tracking of fragment *** reco.struct 3D motion trajectories,a global stereo trajectories matching strategy is presented,which takes advantages of epipolar co.straint and co.tinuity co.straint to co.rectly retrieve stereo co.respondence followed by 3D trajectories refinement using polynomial ***,the simulation and experimental results demonstrate that the proposed method can accurately track the motion trajectories and reco.struct the spatio-temporal distribution of 1.0×10^(3)fragments in a field of view(FOV)of 3.2 m×2.5 m,and the accuracy of the velocity estimation can achieve 98.6%.

关键词： Warhead fragment measurement High speed photography Stereo vision Multi-object tracking Spatio-temporal reco.struction

Cyber-Physical Resilience Enhancement for Power Transmission Systems with Energy Storage Systems

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 844-855页

作者： Wenhao Zhang Dongyang Rui Weihong Wang Yang Guo Zhaoxia Jing Wenhu Tang School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China Guangzhou Zhiguang Electric co. Ltd and Zhiguang Research Institute(Guangzhou)Co.LtdGuangzhou 510765China

In a power system, when extreme events occur, such as ice storm, large scale blackouts may be unavoidable. Such small probability but high risk events have huge impact on power systems. Most resilience research in power systems only co.siders faults on the physical side, which would lead to overly idealistic results. This paper proposes a two-stage cyber-physical resilience enhancement method co.sidering energy storage (ES) systems. The first stage calculates optimal planning of ES systems, and the seco.d stage assesses resilience and enhancement of ES systems during the disaster. In the proposed model, cyber faults indirectly damage the system by disabling monitoring and co.trol function of co.trol center. As a result, when detection and response process of physical faults are blocked by cyber failures, serious load shedding occurs. Such a cyber-physical co.pling mechanism of fault, response, restoration process is demonstrated in the modified IEEE Reliable Test System-79 (RTS-79). Simulation results show co.pared with the physical-only system, the cyber-physical system has a more accurate but degraded resilient performance. Besides, ES systems setting at proper place effectively enhance resilience of the cyber-physical transmission system with less load Shedding.

关键词： Cyber-physical faults energy storage systems resilience enhancement transmission systems

FSS: algorithm and neural network accelerator for style transfer

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Science China(Information Sciences) 2024年第2期67卷 253-266页

作者： Yi LING Yujie HUANG Yujie CAI Zhaojie LI Mingyu WANG Wenhong LI Xiaoyang ZENG State Key Laboratory of ASIC & System Fudan University Shanghai Explore X technology co. Ltd.

Neural networks(NNs), owing to their impressive performance, have gradually begun to dominate multimedia processing. For resource-co.strained and energy-sensitive mobile devices, an efficient NN accelerator is necessary. Style transfer is an important multimedia application. However, existing arbitrary style transfer networks are co.plex and not well supported by current NN accelerators, limiting their application on mobile devices. Moreover, the quality of style transfer needs improvement. Thus, we design the Fast Style system(FSS), where a novel algorithm and an NN accelerator are proposed for style transfer. In FSS, we first propose a novel arbitrary style transfer algorithm, Fast Style. We propose a light network that co.tributes to high quality and low co.putational co.plexity and a prior mechanism to avoid retraining when the style changes. Then, we redesign an NN accelerator for Fast Style by applying two improvements to the basic NVIDIA deep learning accelerator(NVDLA) architecture. First, a flexible dat FSM and wt FSM are redesigned to enable the original data path to perform other operations(including the GRAM operation)by software programming. Moreover, statistics and judgment logic are designed to utilize the co.tinuity of a video stream and remove the data dependency in the instance normalization, which improves the accelerator performance by 18.6%. The experimental results demonstrate that the proposed Fast Style can achieve higher quality with a lower co.putational co.t, making it more suitable for mobile devices. The proposed NN accelerator is implemented on the Xilinx VCU118 FPGA under a 180-MHz clock. Experimental results show that the accelerator can stylize 512×512-pixel video with 20 FPS, and the measured performance reaches up to 306.07 GOPS. The ASIC implementation in TSMC 28 nm achieves about 22 FPS in the case of a 720-p video.

关键词： neural network accelerator style transfer neural network deep learning