检索结果-内蒙古大学图书馆

Highly accelerated multi-shot intravoxel incoherent motion diffusion-weighted imaging in brain enabled by parametric POCS-based multiplexed sensitivity encoding

引用

NMR in Biomedicine 2024年第3期37卷 e5063-e5063页

作者： Chen, Shihui Chu, Mei-Lan Liang, Liyuan Liu, Yi-Jui Chen, Nan-Kuei Wang, He Juan, Chun-Jung Chang, Hing-Chiu Department of Biomedical Engineering The Chinese University of Hong Kong Shatin Hong Kong Department of Diagnostic Radiology Li Ka Shing Faculty of Medicine The University of Hong Kong Pokfulam Hong Kong Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Biomedical Engineering University of Arizona TucsonAZ United States Brain Imaging and Analysis Center Duke University Medical Center DurhamNC United States Institute of Science and Technology for Brain-Inspired Intelligence Fudan University Shanghai China Ministry of Education Shanghai China Human Phenome Institute Fudan University Shanghai China Department of Medical Imaging China Medical University Hsinchu Hospital Hsinchu Taiwan Department of Radiology School of Medicine College of Medicine China Medical University Taichung Taiwan Department of Medical Imaging China Medical University Hospital Taichung Taiwan Multi-Scale Medical Robotics Center Shatin Hong Kong

Recently, intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) has also been demonstrated as an imaging tool for applications in neurological and neurovascular diseases. However, the use of single-shot diffusion-weighted echo-planar imaging for IVIM DWI acquisition leads to suboptimal data quality: for instance, geometric distortion and deteriorated image quality at high spatial resolution. Although the recently commercialized multi-shot acquisition methods, such as multiplexed sensitivity encoding (MUSE), can attain high-resolution and high-quality DWI with signal-to-noise ratio (SNR) performance superior to that of the conventional parallel imaging method, the prolonged scan time associated with multi-shot acquisition is impractical for routine IVIM DWI. This study proposes an acquisition and reconstruction framework based on parametric-POCSMUSE to accelerate the four-shot IVIM DWI with 70% reduction of total scan time (13 min 8 s versus 4 min 8 s). First, the four-shot IVIM DWI scan with 17 b values was accelerated by acquiring only one segment per b value except for b values of 0 and 600 s/mm2. Second, an IVIM-estimation scheme was integrated into the parametric-POCSMUSE to enable joint reconstruction of multi-b images from under-sampled four-shot IVIM DWI data. In vivo experiments on both healthy subjects and patients show that the proposed framework successfully produced multi-b DW images with significantly higher SNRs and lower reconstruction errors than did the conventional acceleration method based on parallel imaging. In addition, the IVIM quantitative maps estimated from the data produced by the proposed framework showed quality comparable to that of fully sampled MUSE-reconstructed images, suggesting that the proposed framework can enable highly accelerated multi-shot IVIM DWI without sacrificing data quality. In summary, the proposed framework can make multi-shot IVIM DWI feasible in a routine MRI examination, with reasonable scan time a

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Digital twin in advanced training of engineering specialists

arXiv

引用

arXiv 2024年

作者： Masaev, Sergey Minkin, Andrey Troyak, Evgeniy Khrulkevich, Andrey Siberian Federal University pr. Svobodnyj 79 Krasnoyarsk660041 Russia Department of System Analysis and Operations Research Reshetnev Siberian State University of Science and Technology 31 Krasnoyarsky Rabochy Av. Krasnoyarsk660037 Russia Control Systems LLC 86 Pavlova Street Krasnoyarsk660122 Russia FSBEI HE Siberian Fire and Rescue Academy EMERCOM of Russia 1 Severnaya Street Zheleznogorsk662972 Russia The Main Directorate of EMERCOM of Russia for Krasnoyarsk Territory Mira Ave. 68 Krasnoyarsk660122 Russia

A review of scientific literature showed the relevance of the issue of assessing the training of an engineering specialist. Engineering includes a variety of works that relate to production issues. To assess the training of an engineering specialist, the digital twin of the enterprise is used. The digital twin of an enterprise includes all major pre-production, production and production support processes. A method for assessing the competencies received by an engineering specialist has been selected. The set of competencies is associated with the ongoing processes of the digital twin of an industrial enterprise. The normal mode of execution of the enterprise production processes is measured. The mode of operation of the processes was measured taking into account the new competencies of an engineering specialist. The study proposes a methodology for assessing the competence of an engineering specialist. The assessment of the effectiveness of the training passed by *** Codes H.1 © 2024, CC BY.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Reinforcement Learning with Large Language Model for Hybrid Disassembly Lines in Remanufacturing Contexts

Reinforcement Learning with Large Language Model for Hybrid ...

引用

IEEE International Conference on Automation Science and Engineering (CASE)

作者： Peng Ji Xi Wang Guo Jiacun Wang Weitian Wang Shu Jin Qin Ying Tang Qi Kang College of Information and Control Engineering Liaoning Petrochemical University Fushun China Dept of Comp. Sci. and Soft. Eng. Monmouth University W. Long Branch NJ USA Collaborative Robotics and Smart Systems Laboratory (CRoSS Lab) Montclair State University Montclair NJ USA College of Economics and Management Shangqiu Normal University Shangqiu China Electrical and Computer Engineering Rowan University Glassboro New Jersey USA Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Large language models (LLM), ChatGPT is making substantial impact across various fields. This study for the first time presents a novel approach to the hybrid disassembly line balancing problem using LLM and reinforcement learning algorithms in remanufacturing contexts. The problem is divided into two sub-stages. LLM is innovatively used to capture a disassembly sequence well in the first stage, while reinforcement learning is utilized to address the problem in the second stage. Upon comparing the performance with and without LLM, the proposed approach significantly reduces the trial-and-error space and achieves faster convergence to achieve the desired solution. Future work of this study is also discussed.

关键词： Computer aided software engineering Automation Large language models Reinforcement learning Chatbots Convergence

来源：评论

学校读者我要写书评

暂无评论

Multi-channel Environmental sound segmentation

Multi-channel Environmental sound segmentation

引用

IEEE/SICE International Symposium on System Integration

作者： Yui Sudo Katsutoshi Itoyama Kenji Nishida Kazuhiro Nakadai Department of Systems and Control Engineering Tokyo Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo Japan

ISBN: (数字)9781728166674

ISBN: (纸本)9781728166681

This paper addresses multi-channel environmental sound segmentation. Unlike traditional sound source separation using spatial information, environmental sound segmentation is a technique that simultaneously detects, separates, and identifies sections based on the properties of previously learned sound sources. One such method, U-Net-based method, proposed for image semantic segmentation, has been proposed for environmental sound segmentation. However, since this method does not use spatial information, performance degrades with overlapping sound sources. Deeplabv3+, which is one of the state-of-the-art methods has been proposed for image semantic segmentation, however, few studies apply these methods to the sound domain. In this study, we applied Deeplabv3+ to environmental sound segmentation. In addition, the input features are expanded to multi-channel to improve the performance of the overlapping sound. We evaluated the effects of Deeplabv3+ and multi-channel expansion using multiple datasets which contains 3 or 75 classes and diffuse noise. Experimental results show that Deeplabv3+ performed better than the previous model, but the effect of multi-channel expansion was limited to certain datasets.

关键词： Spectrogram Image segmentation Convolution Microphone arrays Feature extraction Semantics

来源：评论

学校读者我要写书评

暂无评论

EEG-fMRI-Based Multimodal Fusion System for Analyzing Human Somatosensory Network

EEG-fMRI-Based Multimodal Fusion System for Analyzing Human ...

引用

International Conference on System Science and Engineering (ICSSE)

作者： Syuan-Yi Chu Congying He Cheng-Hua Su Hao-Yuan Lin Li-Ling Hope Pan Shuu-Jiun Wang Li-Wei Ko Institute of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu Taiwan Brain Research Center National Yang Ming Chiao Tung University Taipei Taiwan Department of Neurology Neurological Institute Taipei Veterans General Hospital Taipei Taiwan College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan Electrical and Control Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

ISBN: (数字)9798350359886

ISBN: (纸本)9798350359893

Pain perception in the brain is inherently subjective, with the existing quantitative measures of somatosensory sensitivity in healthy adults largely confined to results from subjective behavioral surveys. In this study, we used an unsupervised K-mean algorithm to cluster the somatosensory sensitivities of healthy adults to different stimuli, and the Gaussian classifier and K-nearest neighbor classifier for 75 participants achieved peak accuracy of 0.982 and 0.924 for K-means with ${k}={4}$ . Using Multidimensional scaling (MDS) to perform confirmation of the cluster distribution relationships for the four types of generally hypersensitive (HS), generally non-sensitive (NS), predominantly thermally sensitive (TS), and predominantly mechanically sensitive (MS). The investigation and quantification of somatosensory stimulus types in healthy adults will bring a deeper understanding of the breadth and applicability of cognitive neuroscience. The effect of data fusion benefits was achieved by using the EEG and the precise spatial localization of MRI to investigate the connectivity coherence of functional brain networks across different somatosensory phenotypes. We found that the number of brain regions activated in the TS type has a maximum of 43 brain regions and NS type has a minimum of 31 brain regions.

关键词： Somatosensory Temperature sensors Surveys Sensitivity Phenotypes Pain Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

OWA operators in the calculation of the average green-house gases emissions

OWA operators in the calculation of the average green-house ...

引用

作者： Amirbagheri, Keivan Merigó, José M. Guitart-Tarrés, Laura Nuñez-Carballosa, Ana Department of Industrial Organization - Academic Area Escola Universitària Salesiana de Sarrià Paseo Sant Joan Bosco Barcelona Spain Department of Management Control and Information Systems School of Economics and Business University of Chile Santiago Chile School of Systems Management and Leadership Faculty of Engineering and Information Technology University of Technology Sydney NSW Australia Department of Economics and Business Faculty of Economics and Business University of Barcelona Barcelona Spain

This study proposes, through weighted averages and ordered weighted averaging operators, a new aggregation system for the investigation of average gases emissions. We present the ordered weighted averaging operators gases emissions, the induced ordered weighted averaging operators gases emissions, the weighted ordered weighted averaging operators gases emissions and the induced probabilistic weighted ordered weighted averaging operators gases emissions. These operators represent a new way of analyzing the average gases emissions of different variables like countries or regions. The work presents further generalizations by using generalized and quasi-arithmetic means. The article also presents an illustrative example with respect to the calculations of the average gases emissions in the European region. © 2020 - IOS Press and the authors. All rights reserved.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Detecting quantum entanglement with unsupervised learning

arXiv

引用

arXiv 2021年

作者： Chen, Yiwei Pan, Yu Zhang, Guofeng Cheng, Shuming Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University Hangzhou310027 China Department of Applied Mathematics The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen518057 China The Department of Control Science and Engineering Tongji University Shanghai201804 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai201804 China Institute for Advanced Study Tongji University Shanghai200092 China

Quantum properties, such as entanglement and coherence, are indispensable resources in various quantum information processing tasks. However, there still lacks an efficient and scalable way to detecting these useful features especially for high-dimensional and multipartite quantum systems. In this work, we exploit the convexity of samples without the desired quantum features and design an unsupervised machine learning method to detect the presence of such features as anomalies. Particularly, in the context of entanglement detection, we propose a complex-valued neural network composed of pseudo-siamese network and generative adversarial net, and then train it with only separable states to construct non-linear witnesses for entanglement. It is shown via numerical examples, ranging from 2-qubit to 10-qubit systems, that our network is able to achieve high detection accuracy which is above 97.5% on average. Moreover, it is capable of revealing rich structures of entanglement, such as partial entanglement among subsystems. Our results are readily applicable to the detection of other quantum resources such as Bell nonlocality and steerability, and thus our work could provide a powerful tool to extract quantum features hidden in multipartite quantum data. © 2021, CC BY.

关键词： Quantum entanglement

来源：评论

学校读者我要写书评

暂无评论

A trajectory-based approach to discrete-time flatness

arXiv

引用

arXiv 2020年

作者： Diwold, Johannes Kolar, Bernd Schöberl, Markus Institute of Automatic Control and Control Systems Technology Johannes Kepler University Linz Altenbergerstraße 66 Linz4040 Austria Magna Powertrain Engineering Center Steyr GmbH & Co KG Steyrer Str. 32 St. Valentin4300 Austria

For discrete-time systems, flatness is usually defined by replacing the time-derivatives of the well-known continuous-time definition by forward-shifts. With this definition, the class of flat systems corresponds exactly to the class of systems which can be linearized by a discrete-time endogenous dynamic feedback as it is proposed in the literature. Recently, verifiable necessary and sufficient differential-geometric conditions for this property have been derived. In the present contribution, we make an attempt to take into account also backward-shifts. This extended approach is motivated by the one-to-one correspondence of solutions of flat systems to solutions of a trivial system as it is known from the continuous-time case. If we transfer this idea to the discrete-time case, this leads to an approach which also allows backward-shifts. To distinguish the classical definition with forward-shifts and the approach of the present paper, we refer to the former as forward-flatness. We show that flat systems (in the extended sense with backward-shifts) still share many beneficial properties of forward-flat systems. In particular, they still are reachable/controllable, allow a straightforward planning of trajectories and can be linearized by a certain subclass of dynamic feedbacks. © 2020, CC BY.

关键词： Continuous time systems

来源：评论

学校读者我要写书评

暂无评论

Optimization of Robot End-Effector Load Gravity Compensation for Unmanned Live Work in Electric Power Distribution Networks Based on Improved PSO Algorithm

Optimization of Robot End-Effector Load Gravity Compensation...

引用

Chinese Automation Congress (CAC)

作者： Jinge Chen Xin Chen Chenyu Hu Guangxian Huang Shu Sun Xu Jian School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering-Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Distribution Department State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Xianning China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan China

In the field of electric power distribution network operation, most tasks involve contact operations. A key technology to enable the flexible operation of robots in live distribution network tasks is the installation of six-dimensional force sensors on the robot's end flange. These sensors allow the robot to perceive external environmental contact forces. However, the presence of the end load interferes with the accurate perception of external forces. Aiming at the gravity compensation of robot end load, an optimization algorithm of gravity compensation based on particle swarm optimization is proposed. In this method, the optimal solution model is established with the objective of minimum sum of squared errors, and the particle swarm optimization algorithm is used to estimate the mounting declination angle of the force sensor and improve the precision of gravity compensation. The experiments show that the proposed method can effectively reduce the maximum gravity compensation error and the average gravity compensation error in each direction after optimization, in which the maximum gravity compensation error of the resultant force is reduced by 9.11% and the average gravity compensation error of the resultant force is reduced by 12.34%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Effective Throughput Optimization of SAG Milling Process Based on BPNN and Genetic Algorithm

Effective Throughput Optimization of SAG Milling Process Bas...

引用

Industrial Cyber-Physical systems (ICPS)

作者： Zhenhong Liao Ce Xu Wen Chen Qifu Chen Feng Wang Jinhua She School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Department of Mineral Resources Development and Utilization Changsha Research Institute of Mining and Metallurgy CO. LTD. Chagnsha China Hunan Valin Lianyuan Iron And Steel Co. Ltd. Loudi China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan

Grinding is an energy-consuming process in mineral processing industry. Improving grinding processing capacity per unit power consumption is an effective means to reduce grinding production cost. In this paper, a new index for evaluating the effective processing throughput of SAG milling is proposed. The production process model is established by BP neural network (BPNN). Through combining the process mechanism and production constraints, the genetic algorithm is adopted to optimize the operating parameters of the SAG milling process to maximize the effective throughput, thus improving the grinding efficiency. The experimental results showed that through optimization of effective throughput function proposed in this paper, the SAG mill processing capacity has been increased by 4% and the operating power drawn reduced by 1.12%. It has important guiding significance for the actual production process.

关键词： Industries Power demand Neural networks Milling Throughput Minerals Materials processing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：