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An improved KPLS-KELM method for breast cancer detection 9

An improved KPLS-KELM method for breast cancer detection

9th IEEE International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT 2022

作者： Bacha, Sawssen Taouali, Okba Liouane, Noureddine National Engineering School of Monastir Research Laboratory of Automation Signal Processing and Image Monastir5019 Tunisia University of Tabuk Faculty of Computers and Information Technology Department of Computer Engineering Tabuk Saudi Arabia

ISBN: (数字)9781728184425

ISBN: (纸本)9781728184425

The conception of a computer-Aided Diagnosis system (CAD) using Artificial Intelligence (AI) is a hot topic in the domain of medical diagnosis. Recently, many approaches have been developed. In the proposed work, a novel classification technique from mammograms based on Kernel Extreme Learning Machine (KELM) and Kernel Partial Least Square (KPLS) method is introduced. The suggested algorithm first used the KPLS algorithm to extract features from the images. The extracted characteristics were then sent to the KELM classifier. In order to improve the generalization of the proposed approach, the cross-validation strategy was used. The simulation results were tested on the Mammographic Image Analysis Society (MIAS) dataset and measured using accuracy, F score, sensitivity, and specificity analysis. These results were compared to existing approaches tested on the same dataset and it was observed that the proposed work is the most efficient. © 2022 IEEE.

关键词： Mammography

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Automatic Relay Protection Calibration Device and System Design for New Intelligent Power Grid

Automatic Relay Protection Calibration Device and System Des...

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2023 Asia-Pacific Conference on Image Processing, Electronics and computers, IPEC 2023

作者： Dai, Yang Li, Dongmei Chen, Yuxin Tang, Mengqin Department of Electric Power Engineering North China Electric Power University Hebei Baoding071000 China Department of Computer Science North China Electric Power University Hebei Baoding071000 China Department of Automation North China Electric Power University Hebei Baoding071000 China

Maintaining the protection device and eliminating the abnormal and fault defects of the device are important tasks for the maintenance of the power system. In general, relay protection equipment managers need to regularly check the relay protection device. According to the usual practice, relay protection professionals use the relay protection tester to manually connect. The traditional relay protection verification method has complicated operation, high professional requirements for testers. In this paper, a set of intelligent relay protection verification device with high degree of automation and harmonious human-computer interaction is developed to realize the communication between the host computer and the protection device and the tester. The host computer software and database were developed. The thermal overload protection in the SPAM150C motor protection device of ABB company is verified, and the reliability of the device is verified. The device can improve the efficiency of relay protection equipment inspection, reduce the technical threshold of operators, and reduce the probability of human error. It realizes the process and standardized control of the operation process of relay protection verification which has strong practical application value. © Published under licence by IOP Publishing Ltd.

关键词： Calibration

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PCIe P2P Communication for the High Performance Heterogeneous Computing System

PCIe P2P Communication for the High Performance Heterogeneou...

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2021 IEEE International Conference on Artificial Intelligence and computer Applications, ICAICA 2021

作者： Xu, Zhenpeng Liu, Hongwei Liu, Yu Jiangsu Automation Research Institute Department of Computer Lianyungang China School of Computer Engineering Weifang University Weifang China

ISBN: (纸本)9781665418676

PCIe's point-to-point transmissions provides a low data latency in a computer host. To eliminate the TCP/IP stack bottleneck and improve the service performance in data center, a PCIe P2P transmission for the high-performance heterogeneous computing system is addressed. Based on basic elements including the specific PCIe adapter and PCIe switch, a PCIe P2P data transfers mechanism among the heterogeneous service nodes had been proposed. To implement the point-to-point data transfers mechanism, the related functions and interfaces in the portable software stack had been designed based on the fast-remote memory access network. It does not introduce extra processing overheads to the data transmission process among multiple service hosts, and simplifies the function calling of the related P2P data transfer mechanism. The performance analysis shows that the proposed data transfers mechanism is able to achieve a low latency, high-throughput distributed computing solutions, and can provide a kind of peer-to-peer transmission solution with low-latency and high-bandwidth to improve the processing for the computing cluster and high-performance data center. © 2021 IEEE.

关键词： Data transfer

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Multiobjective adaptive car-following control of an intelligent vehicle based on receding horizon optimization

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Science China(Information Sciences) 2023年第4期66卷 301-302页

作者： Hongbo GAO Juping ZHU Fei ZHANG Ruidong YAN Junjie ZHOU Lei JIANG Jianqiang WANG Keqiang LI Department of Automation University of Science and Technology of China Institute of Advanced Technology University of Science and Technology of China Department of Computational Mathematics School of Mathematical Sciences Anhui University School of Traffic and Transportation Beijing Jiaotong University Autonomous Driving Business Unit Chery Automobile School of College of Computer Science and Technology Zhejiang University China North Vehicle Research Institute School of Automotive Engineering Tsinghua University

Dear editor, Vehicle control is one of the key steps of intelligent driving [1]. Algorithms based on receding horizon optimization(RHO) can predict future trajectories and handle multiobjective constraint conditions; therefore, RHO-based methods have attracted considerable attention in the field of vehicle control. Although existing methods use RHO to design controllers, they do not simultaneously meet the multiobjective optimal control performance requirements on tracking, fuel economy, and ride comfort.

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Grouping visual enhancements for Picviz logging visualisation

Grouping visual enhancements for Picviz logging visualisatio...

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作者： Yang, Yue Sen, Shraddha Xiao, Yang Li, Tieshan Navigation College Dalian Maritime University Dalian China Department of Computer Science The University of Alabama TuscaloosaAL35487-0290 United States School of Automation Engineering University of Electronic Science and Technology of China Chengdu610054 China

The logs generated during various processes, such as networking and web surfing, can be voluminous. These logs need to be processed and analysed to enhance the system's quality and performance and facilitate proactive fault detection and handling. Log analysis software such as Picviz, which was built to show huge volumes of data for the sake of security, is one example. The parallel coordinate system in Picviz allows data to be presented in multiple dimensions. Its main aim is to simplify data analysis and identify correlations among variables. However, representing a large amount of data all at once in the software can lead to congested and clustered lines, making it challenging to distinguish and extract information. To address this issue, we propose two improved methods: 'grouping based on comparison of data' and 'grouping of consecutive data'. In order to simplify the reading experience, these plug-ins collect related lines into sets and present them all at once, making the image more readable and comprehensible. This paper outlines four cases to highlight these plug-ins' significance and potential application scenarios for each case. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Data visualization

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MSIsensor-RNA:Microsatellite Instability Detection for Bulk and Single-cell Gene Expression Data

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Genomics, Proteomics & Bioinformatics 2024年第3期22卷 85-90页

作者： Peng Jia Xuanhao Yang Xiaofei Yang Tingjie Wang Yu Xu Kai Ye Department of Gynecology and Obstetrics Center for Mathematical MedicalThe First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061China MOE Key Lab for Intelligent Networks&Networks Security Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China School of Automation Science and Engineering Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China School of Computer Science and Technology Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China Genome Institute The First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061China School of Life Science and Technology Xi’an Jiaotong UniversityXi’an 710049China

Microsatellite instability(MSI)is an indispensable biomarker in cancer ***,MSI scoring methods by high-throughput omics methods have gained popularity and demonstrated better performance than the gold standard method for MSI ***,the MSI detection method on expression data,especially single-cell expression data,is still lacking,limiting the scope of clinical application and prohibiting the investigation of MSI at a single-cell ***,we developed MSIsensor-RNA,an accurate,robust,adaptable,and standalone software to detect MSI status based on expression values of MSI-associated *** demonstrated the favorable performance and promise of MSIsensor-RNA in both bulk and single-cell gene expression data in multiplatform technologies including RNA sequencing(RNA-seq),microarray,and single-cell ***-RNA is a versatile,efficient,and robust method for MSI status detection from both bulk and single-cell gene expression data in clinical studies and ***-RNA is available at https://***/xjtu-omics/msisensor-rna.

关键词： Microsatellite instability Gene expression Single-cell RNA-seq RNA-seq Microarray

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Attention Predictions Related to Cinematic Montage Using Biometric Markers with Application in ADHD Disorder 10

Attention Predictions Related to Cinematic Montage Using Bio...

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10th E-Health and Bioengineering Conference, EHB 2022

作者： Motrescu, Emanuela Geman, Oana "Babes Bolyai" University Cluj Romania "Stefan cel Mare" University Faculty of Electric Engineering and Computer Science Department of Electronic Computers and Automation NeuroaestheticsLab Suceava Romania

ISBN: (纸本)9781665485579

The following case study targets the live deconstruction of a visual experience correlating attention-related body sensations that emerge with external visual stimuli resulting the improvement of attention. The attention deficit and hyperactivity disorder (ADHD) is one of the most common mental health disorders among children. It includes symptoms such as difficulty paying attention, hyperactivity and impulsive behavior. The disease appears before age of seven and lasts till adulthood. In contrast with traditional treatment (medication) our work focuses on the usage of biometric marker such as heart rate variability, applied in recovery through other treatments such as art therapy based on cinematic language techniques. We will be able to create a database that can be used to forecast pathologies within the autism spectrum and ADHD using various machine learning algorithm, by expanding the pilot project and including more participants. © 2022 IEEE.

关键词： Biometrics

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A Hardware-Efficient Vector Limiter Algorithm and Its Programmable Logic Realization

A Hardware-Efficient Vector Limiter Algorithm and Its Progra...

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China International Electrical and Energy Conference (CIEEC)

作者： Zhao Song Yiyan Wang Tianyi Xiong Computer and Electronics System and Engineering Department AVIC Xi'an Flight Automation Control Research Institute (FACRI) Xi'an Shanxi Province China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

Vector limiter is a computationally complex component of vector control, but its hardware-friendly algorithm is rarely discussed. This paper presents an efficient solution with pure shift-and-add operations, namely the dual vector rotation algorithm (DVRA). Its programmable logic realization is also provided. The DVRA is then simulated in a motor driving system, and physical validation is made on a Xilinx FPGA. Furthermore, performance comparison is conducted between the DVRA and four control groups (conventional algorithms). All control groups are built by Xilinx IPs under diversified configurations, thus human bias can be minimized. Post-implementation results evince that the DVRA exhibits significantly less resource expenditure and better timing, with power consumption and accuracy comparable to the control groups.

关键词： Power demand Accuracy Motors Vectors Hardware Timing System-on-chip

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Analysis and control of complex cyber-physical networks

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Asian Journal of Control 2022年第2期24卷 495-497页

作者： Wen, Guanghui Jalili, Mahdi Ren, Wei Cao, Yongcan Du, Haibo Chen, Guanrong Research Center for Complex Systems and Network Sciences School of Mathematics Southeast University Nanjing China School of Engineering RMIT University MelbourneVIC Australia Department of Electrical Engineering University of California RiversideCA United States Department of Electrical and Computer Engineering University of Texas at San Antonio San AntonioTX United States School of Electrical Engineering and Automation Hefei University of Technology Hefei China Department of Electrical Engineering City University of Hong Kong Hong Kong

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Algorithmization of designing gas-hydrodynamic measuring transducers using structural and parametric optimization 8

Algorithmization of designing gas-hydrodynamic measuring tra...

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8th IEEE International Conference on Energy Smart Systems, ESS 2022

作者： Pistun, Yevhen Matiko, Halyna Krykh, Hanna Lviv Polytechnic National University Department of Automation and Computer-Integrated Technologies Lviv Ukraine Lviv Polytechnic National University Department of Heat Engineering and Thermal and Nuclear Power Plants Lviv Ukraine

ISBN: (数字)9798350334418

ISBN: (纸本)9798350399202

The paper presents an algorithm for designing gas-hydrodynamic measuring transducers of physical and mechanical parameters of fluids. It starts by synthesizing and choosing the structural diagrams and integrating the mathematical modeling of transducers into the optimization process of its design and mode parameters. Then, the optimization results analysis and a final variant of the transducer with the specified technical characteristics are carried out. An example of the application of the developed algorithm for designing a diagram of measuring transducer of the combined parameter depending on kinematic viscosity and density of petroleum product is presented. © 2022 IEEE.

关键词： Hydrodynamics

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