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17th International Conference on Photonics and Imaging in Biology and Medicine, PIBM 2024

作者： Zou, Peiwen Wei, Chengpu Hu, Ting Li, Zhe Sun, Zhonghua Jia, Kebin Feng, Jinchao Beijing Key Laboratory of Computational Intelligence and Intelligent System School of Information Science and Technology Beijing University of Technology Beijing100124 China Beijing Laboratory of Advanced Information Networks Beijing100124 China

ISBN: (数字)9781510688070

ISBN: (纸本)9781510688063

Diffuse optical tomography (DOT) is a non-invasive, label-free imaging technique widely used in applications such as breast cancer diagnosis and brain imaging. It allows for the quantitative measurement of tissue functional parameters, including the concentrations of oxyhemoglobin, deoxyhemoglobin, and water. However, the quality of reconstructed images is poor due to light scattering. To address this challenge, one effective strategy is to incorporate anatomical information from high-resolution imaging to guide DOT reconstruction. In this study, a new approach (GRI) is developed to leverage MRI images based on graph structure for DOT reconstruction. And its feasibility and effectiveness were evaluated with numerical simulations. The results indicate that GRI significantly improves the structural similarity index (SSIM) of reconstructed total hemoglobin (HbT) images, outperforming conventional Tikhonov regularization and direct regularization imaging (DRI) method by more than 63% and 82%, respectively. These findings are further supported by experiments using real patient data, which demonstrate GRI's potential in breast cancer diagnosis. © 2025 SPIE.

关键词： Optical tomography

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Signal integrity analysis of chip package based on machine learning 5

Signal integrity analysis of chip package based on machine l...

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5th International Conference on Mechanical Engineering, Intelligent Manufacturing, and Mechatronics, MEIMM 2024

作者： Wu, Xiaobang Geng, Daoshuang Liu, Yang Huang, Chi Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology Guilin University of Electronic Technology Guilin541004 China School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Guilin541004 China

ISBN: (数字)9781510686786

ISBN: (纸本)9781510686779

A machine learning approach to chip package signal integrity analysis is proposed. Combining the active learning model and the migrate learning model, the paper improves the performance of the simulation algorithm by fine-tuning the pretraining model, analyzes the convergent speed of the different scale models and the epoch needed before and after the freezing of the different learning rates, it is concluded that the convergence rate is the fastest when the labeled data is 80%, and the period of the unfrozen model is shorter than that of the frozen model. © 2024 SPIE.

关键词： Active learning

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Development of L-Band FMCW Radar on SDR using GNU RADIO 2

Development of L-Band FMCW Radar on SDR using GNU RADIO

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2nd International Conference on Emerging Trends in Information technology and Engineering, ic-ETITE 2024

作者： Wankhede, Animesh De, Sampurna Electronics and Telecommunications Pimpri Chinchwad College of Engineering Pune India Electronics Engineering Radar System Laboratory Defence Institute of Advanced Technology Pune India

ISBN: (纸本)9798350328202

Ground Penetrating Radar (GPR) is a versatile technology widely employed for subsurface imaging and non-destructive testing in various applications. This research presents the design and implementation of a Frequency-Modulated Continuous-Wave (FMCW) L-Band Radar using Software-Defined Radio (SDR) and the GNU Radio framework. The proposed radar system operates within the L-Band frequency range, offering improved penetration depth and resolution for accurate subsurface mapping. Leveraging SDR with GNU Radio allows for the realtime adaptability of the radar parameters, enabling customized waveform generation and agile signal processing techniques. The hardware design encompasses the selection and optimization of L- Band RF components, including antennas, mixers, and power amplifiers, to meet the specific radar requirements. GNU Radio serves as a flexible platform for integrating and controlling the SDR transceiver, ensuring seamless communication between the software and hardware components. The research focuses on implementing advanced signal processing algorithms, such as fast Fourier transforms (FFT), to enhance the radar's target detection capabilities and imaging resolution. Moreover, the software-defined nature of the system allows for multi-channel operation and synchronized data acquisition, enabling coherent processing for increased detection sensitivity. Experiments are conducted to evaluate the performance of the FMCW L-Band radar in various subsurface environments. Results demonstrate the radar's effectiveness in detecting and imaging subsurface objects and structures with high accuracy and resolution. The proposed design presents a cost-effective and versatile solution, empowering researchers and practitioners with an open-source radar platform for customizing and optimizing radar parameters to specific applications. Additionally, the integration of GNU Radio and SDR in the FMCW L-Band radar holds great potential for advancing the state-of-the-art in GPR.

关键词： Ground penetrating radar systems

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Effect of suction leading edge vortex generator on characteristics of compressor cascade

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Hangkong Dongli Xuebao/Journal of Aerospace Power 2025年第5期40卷

作者： Xu, Wenfeng Zou, Shilong Sun, Dan Lu, Wenxin Ren, Guozhe Zhao, Huan Liaoning Key Laboratory of Advanced Measurement and Test Technology for Aviation Propulsion System School of Aero-engine Shenyang Aerospace University Shenyang110136 China

A compressor linear cascade was studied，and vortex generators were arranged near the suction leading edge of the end wall to improve the stator aerodynamic characteristic and control the corner separation. The effects of the vortex generators with different heights，lengths，and pitch positions on the corner separation flow and aerodynamic characteristics were studied by numerical simulation. The results showed that the suction leading edge vortex generator can generate the induced vortex near the end wall of the passage inlet， which inhibited the accumulation of low-energy fluids in the corner region，shifted the separation starting point backward，and narrowed the corner region along the pitch direction，thereby reducing the flow loss. The vortex generator should be arranged at the starting position of the corner separation. The control effect of the corner separation first increased and then decreased with the increase of the height of the vortex generator. With the increase of the chord of the vortex generator，it gradually decreased. As the arrangement position was far away from the suction，it first increased and then decreased. When the vortex generator was arranged at the boundary between the end wall recirculation region and the mainstream region，the chord was equal to 25% of the blade chord，and the height was equal to 2% of the blade height，the flow loss can be reduced by 10.3%. © 2025 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.

关键词： Airships

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Configuration Synthesis and Lightweight Networking of Deployable Mechanism Based on a Novel Pyramid Module

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Chinese Journal of Mechanical Engineering 2023年第4期36卷 294-310页

作者： Jinwei Guo Jianliang He Guoxing Zhang Yongsheng Zhao Yundou Xu School of Mechanical Engineering Jiangsu University of Science and TechnologyZhenjiang 212100China Parallel Robot and Mechatronic System Laboratory of Hebei Province Yanshan UniversityQinhuangdao 066004China Key Laboratory of Advanced Forging and Stamping Technology and Science of Ministry of National Education Yanshan UniversityQinhuangdao 066004China

Deployable mechanism with preferable deployable performance,strong expansibility,and lightweight has attracted much attention because of their potential in aerospace.A basic deployable pyramid unit with good deployability and expandability is proposed to construct a sizeable deployable ***,the basic unit folding principle and expansion method is *** configuration synthesis method of adding constraint chains of spatial closed-loop mechanism is used to synthesize the basic ***,the degree of freedom of the basic unit is analyzed using the screw theory and the link dismantling ***,the three-dimensional models of the pyramid unit,expansion unit,and array unit are established,and the folding motion simulation analysis is carried *** on the number of components,weight reduction rate,and deployable rate,the performance characteristics of the three types of mechanisms are described in ***,prototypes of the pyramid unit,combination unit,and expansion unit are developed to verify further the correctness of the configuration synthesis based on the *** proposed deployable mechanism provides aference for the design and application of antennas with a large aperture,high deployable rate,and *** has a good application prospect in the aerospace field.

关键词： Pyramid unit Deployable mechanism Configuration synthesis Structural design Lightweight networking

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Transfer force perception skills to robot‐assisted laminectomy via imitation learning from human demonstrations

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CAAI Transactions on Intelligence technology 2024年第4期9卷 903-916页

作者： Meng Li Xiaozhi Qi Xiaoguang Han Ying Hu Bing Li Yu Zhao Jianwei Zhang Harbin Institute of Technology ShenzhenChina Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhenChina Shenzhen Key Laboratory of Minimally Invasive Surgical Robotics and System Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenChina Beijing Jishuitan Hospital Capital Medical UniversityBeijingChina Department of Orthopedics Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina University of Hamburg Hamburg22527Germany

A comparative study of two force perception skill learning approaches for robot‐assisted spinal surgery,the impedance model method and the imitation learning(IL)method,is *** impedance model method develops separate models for the surgeon and patient,incorporating spring‐damper and bone‐grinding *** surgeons'feature parameters are collected and mapped using support vector regression and image navi-gation *** imitation learning approach utilises long short‐term memory networks(LSTM)and addresses accurate data labelling challenges with custom *** results demonstrate skill recognition rates of 63.61%-74.62%for the impedance model approach,relying on manual feature ***,the imitation learning approach achieves a force perception recognition rate of 91.06%,outperforming the impedance model on curved bone *** findings demonstrate the potential of imitation learning to enhance skill acquisition in robot‐assisted spinal surgery by eliminating the laborious process of manual feature extraction.

关键词： learning(artificial intelligence) medical applications medical signal processing robotics

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Electron emission characteristics of nc-Si based planar-type electron emission devices 30

Electron emission characteristics of nc-Si based planar-type...

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30th International Symposium on Discharges and Electrical Insulation in Vacuum, ISDEIV 2023

作者： Shimawaki, H. Nagao, M. Murakami, K. Hachinohe Institute of Technology Department of System and Information Engineering Hachinohe Japan National Institute of Advanced Industrial Science and Technology Device Technology Research Institute Tsukuba Japan

Planar-type electron emission devices based on nanocrystalline silicon (nc-Si) with graphene as the gate electrode were fabricated and the electron emission properties were investigated. In addition, the current condu... 详细信息

ISBN: (纸本)9784886864369

关键词： Electron emission

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Main Protection Optimization Scheme for Generator Parallel Operation of Rotating Asynchronous Machine in Nuclear Power Plants

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IEEE Transactions on Power Delivery 2025年第3期40卷 1480-1492页

作者： Wang, Yikai Xu, Chaozheng Qiao, Jian Dai, Zhihui Tan, Liming Yin, Xianggen State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Baoding071003 China State Grid Hunan Electric Power Company Limited Research Institute Changsha410208 China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Technology Wuhan430074 China

The Rotating Asynchronous Machine (RAM) system of a nuclear power plant provides a stable and reliable power supply for the control rod drive mechanism (CRDM) through two parallel generators. At present, the main protection of the generators in the RAM system is only configured with longitudinal differential protection, which cannot reflect the interturn short circuit fault and interbranch short circuit fault of the stator winding. Based on the characteristics of parallel connection of RAM generators in nuclear power plants, this article proposes a dual-generator split phase transverse differential protection and a dual-generator incomplete longitudinal differential protection. Through the internal fault set of the generator and the internal fault potential splitting model of the generator, the quantitative analysis of different main protection configuration schemes is carried out. It is concluded that the existing longitudinal differential protection and the incomplete longitudinal differential protection of two parallel generators can correctly reflect the vast majority of internal short-circuit faults. Finally, the dynamic experiment is carried out to prove the feasibility of the protection method in the actual unit operation. © 1986-2012 IEEE.

关键词： Nuclear power plants

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Swarming magnetic photonic-crystal microrobots withon-the-fly visual pH detection and self-regulated drug delivery

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InfoMat 2023年第10期5卷 64-79页

作者： Zheng Yu Luolin Li Fangzhi Mou Shimin Yu Di Zhang Manyi Yang Qing Zhao Huiru Ma Wei Luo Tianlong Li Jianguo Guan State Key Laboratory of Advanced Technology for Materials Synthesis and Processing International School of Materials Science and Engineering Wuhan University of TechnologyWuhanthe People's Republic of China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbinthe People's Republic of China Wuhan Institute of Photochemistry and Technology Wuhanthe People's Republic of China

Swarming magnetic micro/nanorobots hold great promise for biomedical applications,but at present suffer from inferior capabilities to perceive and respond to chemical signals in local *** we demonstrate swarming magnetic photonic crystal microrobots(PC-bots)capable of sponta-neously performing on-the-fly visual pH detection and self regulated drug delivery by perceiving local pH *** magnetic PC-bots consist of pH-responsive hydrogel microspheres with encapsulated one-dimensional periodic assemblies of Fe3O4 *** programming extemnal rotating magnetic fields,they can self-organize into large swarms with much-enhanced collective velocity to actively find targets while shining bright“blinking”structural *** approaching the target with abnormal pH conditions(*** ulcerated superficial tumor lesion),the PC-bots can visualize local pH changes on the fly via pH-responsive structural colors,and realize self-regulated release of the loaded drugs by recognizing local *** work facilita tes the develop-ment of intelligent micro/nanorobots for active“motile-targeting”tumor diag-nosis and treatment.

关键词： collective behaviors drug delivery micro/nanorobots on-the-fly sensing responsivephotonic crystals

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MACLSTM: A Weather Attributes Enabled Recurrent Approach to Appliance-Level Energy Consumption Forecasting

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Computers, Materials & Continua 2025年第2期82卷 2969-2984页

作者： Ruoxin Li Shaoxiong Wu Fengping Deng Zhongli Tian Hua Cai Xiang Li Xu Xu Qi Liu NARI-TECH Nanjing Control System Co. Ltd.Nanjing211106China School of Software Nanjing University of Information Science&TechnologyNanjing210044China Jiangsu Province Engineering Research Center of Advanced Computing and Intelligent Services Nanjing210044China

Studies to enhance the management of electrical energy have gained considerable momentum in recent years. The question of how much energy will be needed in households is a pressing issue as it allows the management plan of the available resources at the power grids and consumer levels. A non-intrusive inference process can be adopted to predict the amount of energy required by appliances. In this study, an inference process of appliance consumption based on temporal and environmental factors used as a soft sensor is proposed. First, a study of the correlation between the electrical and environmental variables is presented. Then, a resampling process is applied to the initial data set to generate three other subsets of data. All the subsets were evaluated to deduce the adequate granularity for the prediction of the energy demand. Then, a cloud-assisted deep neural network model is designed to forecast short-term energy consumption in a residential area while preserving user privacy. The solution is applied to the consumption data of four appliances elected from a set of real household power data. The experiment results show that the proposed framework is effective for estimating consumption with convincing accuracy.

关键词： Electrical load forecasting cloud computing smart grid weather attributes energy consumption time-series analysis

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