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Discerning Weld Seam Pro les from Strong Arc Background for the Robotic Automated Welding Process via Visual Attention Features

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Chinese Journal of Mechanical Engineering 2020年第1期33卷 170-181页

作者： Yinshui He Zhuohua Yu Jian Li Lesheng Yu Guohong Ma School of Environment and Chemical Engineering Nanchang UniversityNanchang 330031China School of Mechanical Engineering Key Laboratory of Lightweight and High Strength Structural Materials of Jiangxi ProvinceNanchang UniversityNanchang 330031China Institute of Technology.East China Jiao Tong University Nanchang 330100China

In the robotic welding process with thick steel plates,laser vision sensors are widely used to profile the weld seam to implement automatic seam *** weld seam profile extraction(WSPE)result is a crucial step for identifying the feature points of the extracted profile to guide the welding torch in real *** visual information processing system may collapse when interference data points in the image survive during the phase of feature point identification,which results in low tracking accuracy and poor welding *** paper presents a visual attention featurebased method to extract the weld seam profile(WSP)from the strong arc background using clustering ***,a binary image is obtained through the preprocessing ***,all data points with a gray value 255 are clustered with the nearest neighborhood clustering ***,a strategy is developed to discern one cluster belonging to the WSP from the appointed candidate clusters in each loop,and a scheme is proposed to extract the entire WSP using visual *** with the previous methods the proposed method in this paper can extract more useful details of the WSP and has better stability in terms of removing the interference *** WSPE tests with butt joints and T-joints show the anti-interference ability of the proposed method,which contributes to smoothing the welding process and shows its practical value in robotic automated welding with thick steel plates.

关键词： Weld seam profile extraction Visual attention features Clustering Robotic welding

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Guest editorial: special issue on high mobility wireless communications

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Journal of Modern Transportation 2012年第4期20卷 197-198页

作者： Pingzhi FAN Erdal PANAYIRCI Ping LI Chengxiang WANG Vahid TAROKH School of Information science and Technology Southwest Jiaotong University Dept of Electrical and Electronics Engineering Kadir Has University Dept of Electronic Engineering City University of Hongkong School of Engineering & Physical sciences Heriot-Watt University School of Engineering and Applied sciences Harvard University

The high-speed railway and high-way networks are now expanding at a phenomenal speed in Chinaand in many other parts of the world. The related broadband wireless communication over high-speed trains and highway vehicles is a very challenging task due to hostile transmission channel conditions. The demand for such services is growing rapidly, following the proliferation of laptop/tablet computers and smart phones. This motivates the research on wireless communications in the high mobility environments.

关键词： high mobility wireless communications high speed trains (HSTs)

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Automated integration of real-time and non-real-time defense systems

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Defence Technology（防务技术） 2021年第2期17卷 657-670页

作者： Emre Dalkıran Tolga Onel Okan Topçu Kadir Alpaslan Demir Barbaros Naval science and Engineering Institute Turkish Naval AcademyNational Defense UniversityTuzlaIstanbul34942Turkey Department of Computer Engineering Turkish Naval AcademyNational Defense UniversityTuzlaIstanbul34942Turkey Department of Computer Engineering Middle East Technical University Northern Cyprus CampusKalkanliGuzelyurtMersin 1099738Turkey Institute of Social sciences Gebze Technical UniversityGebzeKocaeli41400Turkey

Various application domains require the integration of distributed real-time or near-real-time systems with non-real-time *** cities,smart homes,ambient intelligent systems,or network-centric defense systems are among these application *** Distribution Service(DDS)is a communication mechanism based on Data-Centric Publish-Subscribe(DCPS)*** is used for distributed systems with real-time operational *** Message Service(JMS)is a messaging standard for enterprise systems using Service Oriented Architecture(SOA)for non-real-time *** allows Java programs to exchange messages in a loosely coupled *** also supports sending and receiving messages using a messaging queue and a publish-subscribe *** this article,we propose an architecture enabling the automated integration of distributed real-time and non-real-time *** test our proposed architecture using a distributed Command,Control,Communications,Computers,and Intelligence(C4I)*** system has DDS-based real-time Combat Management System components deployed to naval warships,and SOA-based non-real-time Command and Control components used at *** proposed solution enables the exchange of data between these two systems *** compare the proposed solution with a similar *** solution is superior in terms of automation support,ease of implementation,scalability,and performance.

关键词： Systems integration System of systems Systems engineering Software engineering C4I systems Defense systems Data distribution service DDS integration Java message service JMS

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Construction of a Three-frame Yeast Two-hybrid cDNA Library of Fusarium oxysporum

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Journal of Northeast Agricultural University(English Edition) 2019年第2期26卷 25-32页

作者： Luan Fei-shi Li Xiao-mei Zhu Zi-cheng Wang Xue-zheng Key laboratory of biology and Genetic Improvement Horticultural Crops(Northeast Region) Ministry of AgricultureHarbin 150030China College of Horticulture and Landscape Architecture Northeast Agricultural UniversityHarbin 150030China

A specialized test of two-hybrid library type three-frame cDNA yeast for Muskmelon Fusarium oxysporum using the switching mechanism at the 5'end of RNA template(smart)technology was constructed to screen for interaction protein genes for wilt disease and to further research the molecular mechanisms of Fusarium oxysporum pathogenesis to explain the interactions between plant and pathogen.A 500-bp cDNA was purified and extracted using smart and LD-PCR technology to synthesize ds cDNA and was then homogenized and purified to remove the *** processing,the ds cDNA was connected to three types of reading frame pGADT7-SfiI carriers,and the three connection products in *** Electrocell were used to build the primary cDNA *** titer of three ORF cDNA primary library storage capacities was 2.6×10^6,1.8×10^6 and 3×10^6 cfu;the PCR identification of the ORF 1 and 2 gene recombination rate was 94%,the ORF 3 gene recombination rate was 100%,and the insert length distribution was 0.5-4.0 kb as a single *** reach the quality requirements for library construction,three kinds of reading frame cDNA primary libraries were mixed and amplified,and the plasmid was transformed into the Y187 yeast *** titer of the Y187 yeast library was determined to be 3.5×107 cfu?mL-1,and the base of the yeast library was approximately 1 600 000 *** results showed that the construction of muskmelon Fusarium-specific two-hybrid library type three-frame cDNA yeast had a higher reservoir capacity and recombination rate and met the yeast two-hybrid screening requirements.

关键词： melon Fusarium oxysporum yeast two-hybrid cDNA library normalization

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Street Object Detection Based on Faster R-CNN

Street Object Detection Based on Faster R-CNN

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第37届中国控制会议

作者： Wendi Cai Jiadie Li Zhongzhao Xie Tao Zhao Kang Lu School of Automation China University of Geosciences Hubei Key laboratory of Advanced Control and Intelligent Automation for Complex Systems The Library of Wuhan University of Technology

With the increased number of traffic accidents, the research and development of smart cars have been *** detection of street objects has become one of the important research topics. Generic Model detection algorithm based on Convolution Neural Network（CNN） need to design the training model, while the training and testing of the model will take a lot of time. Transfer Learning is used to fine-tune the pre-trained models, using the Image task datasets of COCO, transferring a generic deep learning model to specific one with different weights and outputs. Furthermore, the CNN structure is adjusted to improve overall performance, and the street environment is trained to the special scene. We compare the results of experiments,and the results showed that the network which is fine-tuned is effective.

关键词： Transfer Learning Faster R-CNN Inception-ResNet-v2 Object Detection

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Modeling and Control of a V2G Charging Station Based on Synchronverter Technology

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CSEE Journal of Power and Energy Systems 2018年第3期4卷 326-338页

作者： Dongqi Liu Qingchang Zhong Yaonan Wang Guorong Liu School of Electrical and Information Engineering Changsha University of Science and TechnologyChangsha 410114China Electrical and Computer Engineering Department Illinois Institute of TechnologyChicagoIL 60616 USA College of Electrical and Information Engineering Hunan UniversityChangsha 410082China School of Computer and Communication Hunan Institute of EngineeringXiangtan 411104China

This paper proposes an idea for modeling and con-trol of a V2G charging station(CS)for electric vehicles(EVs)by using synchronverter ***,the architecture of the CS is ***,a T-S fuzzy controller is designed to decide the reference real power of the synchronverter by considering the grid *** to the inner frequency-and voltage-drooping mechanisms of the synchronverter,the input and output real and reactive power of the CS will be automatically adjusted on the basis of the reference value according to the degree of deviation from the nominal value of the grid frequency and *** ensure the safety of this operation,an adaptive frequency droop coefficient mechanism is designed to adapt the change of the total energy storage of a CS unit by changing the slope of the P-f control characteristic of the *** performance of the CS with the proposed control strategy is investigated with EVs of different battery states,different users’sets and under different grid *** results demonstrate that the proposed strategy can not only effectively perform controlled charging/discharging of each single electric vehicle inside the CS,but also improve the performance of the electricity grid in terms of efficiency,stability and reliability.

关键词： Electric vehicle(EV) synchronverter smart grid vehicle-to-grid(V2G) virtualsynchronousmachines(VSM)

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Functional-Material-Based Touch interfaces for Multidimensional Sensing for Interactive Displays:A Review

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Semiconductor science and Information Devices 2019年第1期1卷 15-28页

作者： Shuo Gao Hetero-Genesys laboratory Department of EngineeringUniversity of CambridgeCambridge CB30FAU.K School of Instrumentation and Optoelectronic Engineering Beihang UniversityBeijing100083China

Multidimensional sensing is a highly desired attribute for allowing human-machine interfaces(HMIs)to perceive various types of information from both users and the environment,thus enabling the advancement of various smart electronics/applications,e.g.,smartphones and smart *** multidimensional sensing is achieved through the integration of multiple discrete sensors,which introduces issues such as high energy consumption and high circuit *** disadvantages have motivated the widespread use of functional materials for detecting various stimuli at low cost with low power *** work presents an overview of simply structured touch interfaces for multidimensional(x-y location,force and temperature)sensing enabled by piezoelectric,piezoresistive,triboelectric,pyroelectric and thermoelectric *** each technology,the mechanism of operation,state-of-the-art designs,merits,and drawbacks are *** the end of the article,the author discusses the challenges limiting the successful applications of functional materials in commercial touch interfaces and corresponding development trends.

关键词： Touch interfaces Functional materials Multidimensional sensing Interactive displays

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smart gas sensor arrays powered by artificial intelligence

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Journal of Semiconductors 2019年第11期40卷 3-12页

作者： Zhesi Chen Zhuo Chen Zhilong Song Wenhao Ye Zhiyong Fan HKUST-Shenzhen Research Institute Shenzhen 518057China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology(HKUST)Hong KongChina

Mobile robots behaving as humans should possess multifunctional flexible sensing systems including vision,hearing,touch,smell,and taste.A gas sensor array(GSA),also known as electronic nose,is a possible solution for a robotic olfactory system that can detect and discriminate a wide variety of gas *** intelligence(AI)applied to an electronic nose involves a diverse set of machine learning algorithms which can generate a smell print by analyzing the signal pattern from the GSA.A combination of GSA and AI algorithms can empower intelligent robots with great capabilities in many areas such as environmental monitoring,gas leakage detection,food and beverage production and storage,and especially disease diagnosis through detection of different types and concentrations of target gases with the advantages of portability,low-powerconsumption and *** is exciting to envisage robots equipped with a"nose"acting as family doctor who will guard every family member's health and keep their home *** this review,we give a summary of the state-of the-art research progress in the fabrication techniques for GSAs and typical algorithms employed in artificial olfactory systems,exploring their potential applications in disease diagnosis,environmental monitoring,and explosive *** also discuss the key limitations of gas sensor units and their possible ***,we present the outlook of GSAs over the horizon of smart homes and cities.

关键词： mobile robots gas sensor array electronic nose artificial intelligence environmental monitoring disease diagnosis

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Towards smart rail mobility at the mmWave and THz bands:Challenges, solutions, and future directions

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science Foundation in China 2020年第1期28卷 56-80页

作者： GUAN Ke AI Bo HE DanPing ZHONG ZhangDui State Key laboratory of Rail Traffic Control and Safety Beijing Jiaotong Universityand Beijing Engineering Research Center of High-speed Railway Broadband Mobile CommunicationsBeijing100044China

In the vision of"smart rail mobility",a seamless high-data-rate wireless connectivity with up to dozens of GHz bandwidth will be *** forms a strong motivation for exploring the underutilized millimeter wave(mmWave)and Terahertz(THz)*** this paper,we identify the main challenges and present the state-of-the-art solutions towards the realization of smart rail *** order to cope with the challenge of involving the railway features in the channel models,we define and reconstruct the complete version and the concise version of the reference scenario modules for mmWave and THz railway *** in the complete version of the scenarios reflect the influence of railway objects in detail;based on raytracing simulations in the concise version of the scenarios,two mmWave railway channel models are established and validated by ***,in order to tackle the challenge of heavy computing workload,we develop an open-access high performance ray-tracing platform—*** but not least,the challenges raised by the mmWave directional network under high mobility are overcome by our solutions concerning the handover scheme,random access procedure,and beamforming *** integrating the key enabling technologies presented in this paper,we prototype the mobile hotspot network(MHN)system which realizes 1.25 Gbps downlink data throughput in a subway line with the train speed of 80 km/*** directions towards the full version of the smart rail mobility are pointed out as well.

关键词： Channel modeling Millimeter wave Railway communications Ray-tracing THz communications

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Design of Machine Learning Based smart Irrigation System for Precision Agriculture

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Computers, Materials & Continua 2022年第7期72卷 109-124页

作者： Khalil Ibrahim Mohammad Abuzanouneh Fahd N.Al-Wesabi Amani Abdulrahman Albraikan Mesfer Al Duhayyim M.Al-Shabi Anwer Mustafa Hilal Manar Ahmed Hamza Abu Sarwar Zamani K.Muthulakshmi Department of Information Technology College of ComputerQassim UniversityAl-Bukairiyah52571Saudi Arabia Department of Computer science King Khalid UniversityMuhayel Aseer62529Saudi Arabia&Faculty of Computer and ITSana’a UniversitySana’a61101Yemen Department of Computer science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Natural and Applied sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Management Information System College of Business and AdministrativeTaibah UniversityMedina42353Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Electronics and Communication Engineering Dr.N.G.P Institute of TechnologyCoimbatore641048India

Agriculture 4.0,as the future of farming technology,comprises numerous key enabling technologies towards sustainable *** use of state-of-the-art technologies,such as the Internet of Things,transform traditional cultivation practices,like irrigation,to modern solutions of precision *** achieve effectivewater resource usage and automated irrigation in precision agriculture,recent technologies like machine learning(ML)can be *** this motivation,this paper design an IoT andML enabled smart irrigation system(IoTML-SIS)for precision *** proposed IoTML-SIS technique allows to sense the parameters of the farmland and make appropriate decisions for *** proposed IoTML-SIS model involves different IoT based sensors for soil moisture,humidity,temperature sensor,and ***,the sensed data are transmitted to the cloud server for processing and decision ***,artificial algae algorithm(AAA)with least squares-support vector machine(LS-SVM)model is employed for the classification process to determine the need for ***,the AAA is applied to optimally tune the parameters involved in the LS-SVM model,and thereby the classification efficiency is significantly *** performance validation of the proposed IoTML-SIS technique ensured better performance over the compared methods with the maximum accuracy of 0.975.

关键词： Automatic irrigation precision agriculture smart farming machine learning cloud computing decision making internet of things

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