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2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017

作者： Xue-Fen, Wan Xing-Jing, Du Yi, Yang Jing-Wen, Zhang Sardar, Muhammad Sohail Jian, Cui Hebei Engineering Technology Research Center for IoT Data Acquisition and Processing North China Institute of Science and Technology Hebei China College of Information Science and Technology Donghua University Shanghai China Engineering Training Center Beijing University of Aeronautics and Astronautics Beijing China

ISBN: (纸本)9781509050284

LoRa offers new communication solution for wireless underground sensor networks in soil. A smartphone based LoRa in-soil propagation measurement is proposed in this paper. The measurement system (named LoRa Wizard) consists of smartphones and testing nodes. The design of App in Android smartphone and the corresponding testing node is discussed in detail. The LoRa in-soil propagation characteristics in municipal garden area and farmland are experimentally measured with LoRa Wizard. The LoRa Wizard has shown some advantages of low cost, high reliability, high flexibility and ease of use. It can provide technical supports for design, installation and maintenance of LoRa wireless underground sensor networks in agriculture, accident prevention and other fields. © 2017 IEEE.

关键词： Soils

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Smartphone accessible agriculture iot node based on NFC and BLE 21

Smartphone accessible agriculture IoT node based on NFC and ...

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21st IEEE International Symposium on Consumer Electronics, ISCE 2017

作者： Xue-fen, Wan Xing-jing, Du Wen-qiang, Bao Le-han, Li Jian, Zhang Chang, Zu Ling-xuan, Zhang Yu-xiao, Yang Pan Yi, Yang Department of Computer Science and Technology Hebei Engineering Technology Research Center for IoT Data Acquisition and Processing North China Institute of Science and Technology Langfang China College of Information Science and Technology Donghua University Shanghai China

ISBN: (纸本)9781538654330

The smartphones play an important part in agriculture service today. A smartphone accessible agriculture iot node is presented in this paper. This node is designed for sightseeing agriculture and education agriculture services. Nodes can meet the needs of in-field farm services as well as the demand of centralized management. The hardware structure of the node and the design of the Android App are discussed. This node is expected to provide new technologies and business supports for smart agriculture. © 2017 IEEE.

关键词： Smartphones

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Fig fruit recognition method based on YOLO v4 deep learning 18

Fig fruit recognition method based on YOLO v4 deep learning

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18th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information technology, ECTI-CON 2021

作者： Yijing, Wu Yi, Yang Xue-Fen, Wang Jian, Cui Xinyun, Li Donghua University College of Information Science and Technology Shanghai China North China Institute of Science and Technology Hebei Engineering Technology Research Center for IoT Data Acquisition Processing/College of Computer Langfang China Beijing University of Aeronautics and Astronautics School of Cyber Science and Technology Beijing China

ISBN: (纸本)9780738111278

Image-based fig fruit recognition is a key technology to achieve smart fig planting management. However, compared with apples and mangoes, fig fruits are less different in color from the background and have more dense branches and leaves. This makes the detection of fig fruits more challenging. In this paper, we propose a fig recognition method based on YOLO v4 deep learning technique to achieve fast and accurate recognition and localization of fig fruits in complex environment images. This paper also compares the detection effect of YOLO v4 with Faster R-CNN and YOLO v3 algorithms, which were widely used in the field of fruit recognition in the past, on the same fig dataset. The experimental results show that the detection effect of the fig fruit recognition model constructed based on the YOLO v4 algorithm has improved to a certain extent in terms of average precision and other core metrics. It proves that YOLO v4 deep learning method has good detection effect on figs in complex environment and can provide technical support for intelligent fig planting management. © 2021 IEEE.

关键词： Fruits

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Hybrid Node Development for Distributed Agriculture Service System in Beijing-Tianjin-hebei Urbanization Region 21

Hybrid Node Development for Distributed Agriculture Service ...

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21st International Computer Science and engineering Conference, ICSEC 2017

作者： Xue-Fen, Wan Yi, Yang Tao, Zheng Jing-Wen, Zhang Sardar, Muhammad Sohail Department of Computer Science and Technology North China Institute of Science and Technology Langfang065201 China Hebei Engineering Technology Research Center for IoT Data Acquisition and Processing North China Institute of Science and Technology Hebei065201 China College of Information Science and Technology Donghua University Shanghai201620 China School of Economics and Management YanShan University Qinhuangdao066004 China

ISBN: (纸本)9781538607879

Aiming at the demand of distributed agriculture service in Beijing-Tianjin-hebei (BTH) urbanization region, a smartphone based hybrid wireless sensor network node is presented. The designs of node hardware and corresponding smartphone App are discussed. The node can support the function of the traditional agriculture monitoring and device control by terminal/host configuration. The tourists and farmer can also access in-field node directly for distributed services by. In the test, the node has shown high reliability. Through the distributed services provided by the nodes, the user experience can be improved effectively. The node is expected to be candidate to provide the corresponding technical support for the future distributed agricultural service in BTH new-style urbanization. © 2017 IEEE.

关键词： Smartphones

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Enhancing Accuracy of Flexible Piezoresistive Pressure Sensors by Suppressing Seebeck Effect

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Journal of Donghua University(English Edition) 2021年第6期38卷 498-503页

作者： SUI Jingliang DU Minzhi JING Yuanyuan YANG Xiaona WAN Xuefen YANG Yi ZHANG Kun Key Laboratory of Textile Science & Technology of Ministry of Education Donghua University Shanghai 201620 China College of Textiles Donghua University Shanghai 201620 China Hebei Engineering Technology Research Center for IoT Data Acquisition & Processing North China Institute of Science and Technology Langfang 065000 China College of Computer North China Institute of Science and Technology Langfang 065000 China College of Information Science and Technology Donghua University Shanghai 201620 China

Flexible piezoresistive pressure sensors can offer convenient detection of mechanical deformations for wearable *** studies of flexible piezoresistive pressure sensors focus on the sensitivity but the low-cost and self-powered sensors remain a challenge due to the deviation of resistance signal acquisition caused by thermoelectric ***,piezoresistive pressure sensors with ultralow Seebeck coefficient of-0.72μV/K based on carbon nanotubes(CNTs)/polyethyleneimine(PEI)/melamine(CPM)sponge are *** to the diminished Seebeck effect,the CPM sponge pressure sensors successfully reduce the deviation to 18.75%and can keep stable sensitivity and resistance change under a very low working voltage and change temperature *** stable properties of the sensors make them successful to work for real-time sensing in self-powered wearable electronics.

关键词： piezoresistive pressure sensor carbon nanotube(CNT) Seebeck effect deviation in resistance measurement thermoelectric voltage

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Using NSGA-Ⅲ for optimising biomedical ontology alignment

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CAAI Transactions on Intelligence technology 2019年第3期4卷 135-141页

作者： Xingsi Xue Jiawei Lu Junfeng Chen College of Information Science and Engineering Fujian University of TechnologyFuzhouFujianPeople’s Republic of China Intelligent Information Processing Research Center Fujian University of TechnologyFuzhouFujianPeople’s Republic of China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of TechnologyFuzhouFujianPeople’s Republic of China Fujian Key Laboratory for Automotive Electronics and Electric Drive Fujian University of TechnologyFuzhouFujianPeople’s Republic of China College of IOT Engineering Hohai UniversityChangzhouJiangsuPeople’s Republic of China

To support semantic inter-operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biomedical concepts are usually complex and ambiguous, which makes matching biomedical ontologies a challenge. Since none of the similarity measures can distinguish the heterogeneous biomedical concepts in any context independently, usually several similarity measures are applied together to determine the biomedical concepts mappings. However, the ignorance of the effects brought about by different biomedical concept mapping’s preference on the similarity measures significantly reduces the alignment’s quality. In this study, a non-dominated sorting genetic algorithm (NSGA)-III-based biomedical ontology matching technique is proposed to effectively match the biomedical ontologies, which first utilises an ontology partitioning technique to transform the large-scale biomedical ontology matching problem into several ontology segment-matching problems, and then uses NSGA-III to determine the optimal alignment without tuning the aggregating weights. The experiment is conducted on the anatomy track and large biomedic ontologies track which are provided by the Ontology Alignment Evaluation Initiative (OAEI), and the comparisons with OAEI’s participants show the effectiveness of the authors’ approach.

关键词： ontology ontologies transform together Ontology complex context effects

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A hybrid NSGA-II for matching biomedical ontology 14th

A hybrid NSGA-II for matching biomedical ontology

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14th International Conference on Intelligent Information Hiding and Multimedia Signal processing, IIH-MSP 2018

作者： Xue, Xingsi Chen, Jie Chen, Junfeng Chen, Dongxu College of Information Science and Engineering Fujian University of Technology FuzhouFujian350118 China Intelligent Information Processing Research Center Fujian University of Technology FuzhouFujian350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology FuzhouFujian350118 China Fujian Key Lab for Automotive Electronics and Electric Drive Fujian University of Technology FuzhouFujian350118 China College of IOT Engineering Hohai University ChangzhouJiangsu China Fujian Medical University Union Hospital FuzhouFujian350001 China

ISBN: (纸本)9783030037444

Over the recent years, ontologies are widely used in the biomedical domains. However, biomedical ontology heterogeneity problem hamper the cooperation between intelligent applications based on biomedical ontologies. It is crucial to establish correspondences between the heterogeneous biomedical concepts in different ontologies, which is so-called biomedical ontology matching. Approaches based on Multi-Objective Evolutionary Algorithm (MOEA), such as NSGA-II, are emerging as a new methodology to solve the ontology matching problem. In this paper, to further improve the quality of biomedical ontology alignments, a hybrid NSGA-II is proposed, which modifies the knee solutions in the Pareto front by using a local search method. Experiment utilizes two biomedical ontology matching tracks provided by Ontology Alignment Evaluation Initiative (OAEI 2017). The experimental results show that our approach outperforms the participants of OAEI 2017 and NSGA-II based ontology matching technique. © Springer Nature Switzerland AG 2019.

关键词： Ontology

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Interactive Ontology Matching Based on Evolutionary Algorithm

Interactive Ontology Matching Based on Evolutionary Algorith...

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International Conference on Computational Intelligence and Security

作者： Xingsi Xue Junfeng Chen Aihong Ren College of Information Science and Engineering Intelligent Information Processing Research Center Fujian Key Lab for Automotive Electronics and Electric Drive Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou China College of IOT Engineering Hohai University ChanZhou China School of Mathematics and Information Science Baoji University of Arts and Sciences Baoji China

ISBN: (数字)9781728160924

ISBN: (纸本)9781728160931

Since different ontologies are mostly developed independently, establishing meaningful links between their entities, so-called ontology matching, is critical to ensure their communication. Due to the complexity of the ontology matching problem, Evolutionary Algorithm (EA) can present a good methodology for determining ontology alignments. However, since none of the similarity measure can distinguish all the identical ontology entities in any context, ontology alignments generated by the automatic matching tools should be validated by the users to ensure their qualities. To improve the quality of the ontology alignment, in this work, a similarity measure is first proposed to calculate the similarity value of two ontology entities; then, an optimal model for ontology matching problem is constructed; after that, an EA-based automatic matcher is presented to solve the ontology matching problem, which can also adaptively determine the timing of getting user involved; and finally, the ontology concept hierarchy graph based reasoning approaches are proposed to tradeoff the user's workload and his work's effect. The experiment is conducted on the Interactive track provided by the Ontology Alignment Evaluation Initiative (OAEI), and the comparisons with OAEI's participants show the effectiveness of our proposal.

关键词： Ontologies Graph theory Pattern matching Evolutionary computation

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Discovery of Two-dimensional Hexagonal MBene HfBO and Exploration on its Potential for Lithium-Ion Storage

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Angewandte Chemie 2023年第36期135卷

作者： Nanxi Miao Prof. Yutong Gong Huaiyu Zhang Qing Shen Rui Yang Prof. Jianping Zhou Prof. Hideo Hosono Prof. Junjie Wang State Key Laboratory of Solidification Processing School of Materials Science and Engineering Department Northwestern Polytechnical University Xi'an Shaanxi 710072 P. R. China Contribution: Data curation (lead) Formal analysis (equal) Funding acquisition (equal) Software (lead) Writing - original draft (lead) Contribution: Data curation (equal) Formal analysis (equal) Funding acquisition (equal) Validation (equal) Writing - original draft (equal) Writing - review & editing (equal) Contribution: Formal analysis (equal) Software (equal) Contribution: Formal analysis (equal) Investigation (equal) Software (equal) Contribution: Investigation (equal) School of Physics & Information Technology Shaanxi Normal University Xi'an 710119 P. R. China Contribution: Formal analysis (equal) Investigation (equal) MDX Research Center for Element Strategy Tokyo Institute of Technology 4259 Nagatsuta-cho Midori-ku Yokohama Kanagawa 226-8503 Japan Contribution: Funding acquisition (equal) Investigation (equal) Writing - review & editing (equal) Contribution: Conceptualization (lead) Data curation (equal) Formal analysis (equal) Funding acquisition (equal) Supervision (lead) Writing - original draft (lead) Writing - review & editing (lead)

The practical applications of two-dimensional (2D) transition-metal borides (MBenes) have been severely hindered by the lack of accessible MBenes because of the difficulties in the selective etching of traditional ternary MAB phases with orthorhombic symmetry ( ort -MAB). Here, we discover a family of ternary hexagonal MAB ( h -MAB) phases and 2D hexagonal MBenes ( h -MBenes) by ab initio predictions and experiments. Calculations suggest that the ternary h -MAB phases are more suitable precursors for MBenes than the ort -MAB phases. Based on the prediction, we report the experimental synthesis of h -MBene HfBO by selective removal of In from h -MAB Hf 2 InB 2 . The synthesized 2D HfBO delivered a specific capacity of 420 mAh g −1 as an anode material in lithium-ion batteries, demonstrating the potential for energy-storage applications. The discovery of this h -MBene HfBO added a new member to the growing family of 2D materials and provided opportunities for a wide range of novel applications.

关键词： DFT Calculations High-Throughput Screening Lithium-Ion Batteries Two-Dimensional Materials h-MBenes

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High-Performance Thermoelectric α-Ag9Ga1−xTe6Compounds with Ultralow Lattice Thermal Conductivity Originating from Ag9Te2Motifs

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Angewandte Chemie 2022年第36期134卷

作者： Yingfei Tang Yimeng Yu Na Zhao Keke Liu Haijie Chen Constantinos C. Stoumpos Yixuan Shi Shuo Chen Lingxiao Yu Jinsong Wu Qingjie Zhang Xianli Su Xinfeng Tang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan 430070 China International School of Materials Science and Engineering Wuhan University of Technology Wuhan 430070 China Contribution: Conceptualization (equal) Data curation (lead) Formal analysis (lead) Investigation (equal) Methodology (equal) Visualization (equal) Writing - original draft (lead) Nanostructure Research Center Wuhan University of Technology Wuhan 430070 China Contribution: Data curation (equal) Software (equal) Visualization (supporting) Contribution: Investigation (equal) Methodology (equal) Contribution: Investigation (equal) Methodology (equal) Visualization (equal) State Key Laboratory for Modification of Chemical Fibers and Polymer Materials Institute of Functional Materials College of Materials Science and Engineering Donghua University Shanghai 201620 China Contribution: Methodology (equal) Visualization (equal) Writing - review & editing (equal) Department of Materials Science and Technology Voutes Campus University of Crete Iraklio Heraklion 70013 Greece Contribution: Methodology (equal) Visualization (equal) Contribution: Investigation (equal) Visualization (equal) Contribution: Conceptualization (equal) Investigation (equal) Contribution: Methodology (equal) Contribution: Conceptualization (equal) Methodology (equal) Contribution: Conceptualization (equal) Investigation (equal) Methodology (equal) Writing - review & editing (equal) Contribution: Conceptualization (equal) Funding acquisition (lead) Methodology (equal) Supervision (equal) Writing - review & editing (equal)

We have determined the complex atomic structure of high-temperature α-Ag 9 GaTe 6 phase with a hexagonal lattice ( P 6 3 mc space group, a = b =8.2766 Å, c =13.4349 Å). The structure has outer [GaTe 4 ] 5− tetrahedrons and inner [Ag 9 Te 2 ] 5+ clusters. All of the Ag ions are disorderly distributed in the lattice. Seven types of the Ag atoms constitute the cage-like [Ag 9 Te 2 ] 5+ clusters. The highly disordered Ag ions vibrate in-harmonically, producing strong coupling between low frequency optical phonons and acoustic phonons. This in conjunction with a low sound velocity of 1354 m s −1 leads to an ultralow thermal conductivity of 0.20 W m −1 K −1 at 673 K. Meanwhile, the deficiency of Ga in Ag 9 Ga 1− x Te 6 compounds effectively optimizes the electronic transport properties. Ag 9 Ga 0.91 Te 6 attains a highest power factor of 0.40 mW m −1 K −2 at 673 K. All these contribute to a much-improved ZT value of 1.13 at 623 K for Ag 9 Ga 0.95 Te 6 , which is 41 % higher than that of the pristine Ag 9 GaTe 6 sample.

关键词： α-Ag9GaTe6 Crystal Structure Ga Deficiency Thermoelectrics Ultralow Lattice Thermal Conductivity

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