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Membership Functions, Set-Theoretic Operations, Distance Measurement Methods Based on Ambiguous Set Theory: A Solution to a Decision-Making Problem in Selecting the Appropriate Colleges

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International Journal of Fuzzy systems 2023年第4期25卷 1311-1326页

作者： Singh, Pritpal Huang, Yo-Ping Deep Learning Lab Department of Data Science and Analytics Central University of Rajasthan Rajasthan Ajmer305817 India Department of Electrical Engineering National Penghu University of Science and Technology Penghu88046 Taiwan Department of Electrical Engineering National Taipei University of Technology Taipei10608 Taiwan Department of Information and Communication Engineering Chaoyang University of Technology Taichung41349 Taiwan

To deal with uncertainty in a very precise way, the ambiguous set theory has been proposed. This theory supports the representation of ambiguities in terms of four membership degrees, namely "true," "false," "true-ambiguous," and "false-ambiguous." These membership degrees are linearly dependent on each other, because they are defined over the same event. However, these four membership degrees have the difficulty of unclear margins that prevent them to be separated from each other in the ambiguities representation of an event. To address this problem of unclear margins in the ambiguous set, the membership degrees are defined using four different functions, and called ambiguous membership functions (AMFs). These membership degrees are defined in such a way that their sum should be less than or equal to 2, and the individual membership degree should be in the range [0, 1]. To visually represent the uncertain margins for the membership degrees, the concept of an ambiguous region (AR) is introduced. In this study, various set-theoretic operations, their properties, and methods for measuring distances in support of the ambiguous sets are discussed. Finally, we discuss a real-time application of the ambiguous set theory with respect to solving the decision-making problem of choosing the appropriate colleges for students. © 2023, The Author(s) under exclusive licence to Taiwan Fuzzy systems Association.

关键词： Membership functions

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Modeling of the resilient supply chain system from a perspective of production design changes

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Frontiers of engineering Management 2023年第1期10卷 96-106页

作者： Shuangshuang ZHANG Hongfeng WANG Guo LI Junwei WANG College of Information Science and Engineering Northeastern UniversityShenyang 110819China School of Management and Economics Beijing Institute of TechnologyBeijing 100081China Department of Industrial and Manufacturing System Engineering The University of Hong KongHong KongChina

Building an effective resilient supply chain system (RSCS) is critical and necessary to reduce the risk of supply chain disruptions in unexpected scenarios such as COVID-19 pandemic and trade wars. To overcome the impact of insufficient raw material supply on the supply chain in mass disruption scenarios, this study proposes a novel RSCS considering product design changes (PDC). An RSCS domain model is first developed from the perspective of PDC based on a general conceptual framework, i.e., function-context-behavior-principle-state-structure (FCBPSS), which can portray complex systems under unpredictable situations. Specifically, the interaction among the structure, state and behavior of the infrastructure system and substance system is captured, and then a quantitative analysis of the change impact process is presented to evaluate the resilience of both the product and supply chain. Next, a case study is conducted to demonstrate the PDC strategy and to validate the feasibility and effectiveness of the RSCS domain model. The results show that the restructured RSCS based on the proposed strategy and model can remedy the huge losses caused by the unavailability of raw materials.

关键词： resilient supply chain supply chain disruption domain modeling product design changes

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Vacancy-modified bimetallic FeMoS_(x)/CoNiP_(x) heterostructure array for efficient seawater splitting and Zn-air battery

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Journal of Energy Chemistry 2023年第6期81卷 533-542,I0012页

作者： Ansheng Wang Shan Gao Jiaguo Yan Chunning Zhao Meng Yu Weichao Wang Integrated Circuits and Smart System Lab(Shenzhen) Renewable Energy Conversion and Storage CenterTianjin Key Laboratory of Photo-Electronic Thin Film Device and TechnologyCollege of Electronic Information and Optical EngineeringNankai UniversityTianjin 300071China Department of Physical Science and Technology Ningbo UniversityNingbo 315211ZhejiangChina Division of Oilfield Chemicals China Oilfield Services LimitedTianjin 300452China

The development of highly efficient OER catalysts with superior durability for seawater electrolysis and Zn-air battery is important but ***,the vacancy-modified heterostructured bimetallic Fe Mo S_(x)/Co Ni P_(x)OER electrocatalyst is *** from the electron redistribution and reaction kinetics modulation resulting from vacancy introduction and heterojunction formation,it yields ultralow OER overpotentials of 196,276,303 m V in 1 M KOH and 197,318,348 m V in 1 M KOH+seawater at 10,500,1000 m A cm^(-2),respectively,surviving 600 h at 800 m A cm^(-2)without obvious ***,FeMoS_(x)/CoNiP_(x)-based Zn-air battery not only affords the high peak power density of 214.5 m W cm^(-2)but also exhibits the small voltage gap of 0.698 V and long lifetime of 500 h at 10 m A cm^(-2),overmatching overwhelming majority of reported advanced *** is revealed experimentally that the OER process on rationally designed Fe Mo S_(x)/Co Ni P_(x)follows the adsorbate evolution mechanism and the ratedetermining step shifts from^(*)OOH formation in individual building blocks to^(*)OOH deprotonation process in FeMoS_(x)/CoNiP_(x),providing the directly proof of how the vacancy introduction and heterojunction formation affect the reaction kinetics.

关键词： Vacancy Heterojunction Oxygen evolution reaction Seawater splitting Zn-air battery

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A versatile framework for analyzing galaxy image data by incorporating Human-in-the-loop in a large vision model

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Chinese Physics C 2024年第9期48卷 176-187页

作者： Ming-Xiang Fu Yu Song Jia-Meng Lv Liang Cao Peng Jia Nan Li Xiang-Ru Li Ji-Feng Liu A-Li Luo Bo Qiu Shi-Yin Shen Liang-Ping Tu Li-Li Wang Shou-Lin Wei Hai-Feng Yang Zhen-Ping Yi Zhi-Qiang Zou National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China College of Electronic Information and Optical Engineering Taiyuan University of TechnologyTaiyuan 030024China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 101408China Key lab of Space Astronomy and Technology National Astronomical ObservatoriesBeijing 100101China School of Computer Science South China Normal UniversityGuangzhou 510631China CAS Key Laboratory of Optical Astronomy National Astronomical ObservatoriesBeijing 100101China University of Chinese Academy of Sciences NanjingNanjing 211135China University of Science and Technology Beijing Beijing 100083China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China School of Computer and Information Dezhou UniversityDezhou 253023China Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming 650500China School of Computer Science and Technology Taiyuan University of Science and TechnologyTaiyuan 30024China School of Mechanical Electrical and Information EngineeringShandong UniversityWeihai 264209China Nanjing University of Posts&Telecommunications Nanjing 210023China School of Science University of Science and Technology LiaoningAnshan 114051China

The exponential growth of astronomical datasets provides an unprecedented opportunity for humans to gain insight into the ***,effectively analyzing this vast amount of data poses a significant *** response,astronomers are turning to deep learning techniques,but these methods are limited by their specific training sets,leading to considerable duplicate *** overcome this issue,we built a framework for the general analysis of galaxy images based on a large vision model(LVM)plus downstream tasks(DST),including galaxy morphological classification,image restoration object detection,parameter extraction,and *** the low signal-to-noise ratios of galaxy images and the imbalanced distribution of galaxy categories,we designed our LVM to incorporate a Human-in-the-loop(HITL)module,which leverages human knowledge to enhance the reliability and interpretability of processing galaxy images *** proposed framework exhibits notable fewshot learning capabilities and versatile adaptability for all the abovementioned tasks on galaxy images in the DESI Legacy Imaging *** particular,for the object detection task,which was trained using 1000 data points,our DST in the LVM achieved an accuracy of 96.7%,while ResNet50 plus Mask R-CNN reached an accuracy of 93.1%.For morphological classification,to obtain an area under the curve(AUC)of~0.9,LVM plus DST and HITL only requested 1/50 of the training sets that ResNet18 *** addition,multimodal data can be integrated,which creates possibilities for conducting joint analyses with datasets spanning diverse domains in the era of multi-messenger astronomy.

关键词： artificial intelligence large vision model human-in-the-loop astronomy galaxies

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Molecular-level proton acceptor boosts oxygen evolution catalysis to enable efficient industrial-scale water splitting

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Green Energy & Environment 2024年第2期9卷 344-355页

作者： Yaobin Wang Qian Lu Xinlei Ge Feng Li Le Chen Zhihui Zhang Zhengping Fu Yalin Lu Yang Song Yunfei Bu Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control(AEMPC)UNIST-NUIST Energy and Environment Jointed Lab(UNNU)School of Environmental Science and TechnologyNanjing University of Information Science and Technology(NUIST)219 NingliuNanjing210044China Laboratory of Advanced Materials Shanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsFudan University220 HandanShanghai200433China Jiangsu Key Laboratory of Advanced Materials and Technology School of Petrochemical EngineeringChangzhou University1 GehuChangzhou213164China Anhui Laboratory of Advanced Photon Science and Technology University of Science and Technology of China(USTC)96 JinzhaiHefeiAnhui 230026China School of Chemistry and Chemical Engineering Nanjing University of Science and Technology200 Xiaolingwei210094China

Industrial water splitting has long been suppressed by the sluggish kinetics of the oxygen evolution reaction(OER),which requires a catalyst to be ***,we propose a molecular-level proton acceptor strategy to produce an efficient OER catalyst that can boost industrial-scale water ***-level phosphate(-PO_(4))group is introduced to modify the surface of PrBa_(0.5)Ca_(0.5)Co_(2)O_(5)+δ(PBCC).The achieved catalyst(PO_(4)-PBCC)exhibits significantly enhanced catalytic performance in alkaline *** on the X-ray absorption spectroscopy results and density functional theory(DFT)calculations,the PO_(4)on the surface,which is regarded as the Lewis base,is the key factor to overcome the kinetic limitation of the proton transfer process during the *** use of the catalyst in a membrane electrode assembly(MEA)is further evaluated for industrial-scale water splitting,and it only needs a low voltage of 1.66 V to achieve a large current density of 1 A cm^(-2).This work provides a new molecular-level strategy to develop highly efficient OER electrocatalysts for industrial applications.

关键词： Oxygen evolution reaction Nanofiber Water splitting Proton acceptor Perovskite

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A Review Study of an Intelligent Strategy Towards Higher Education Examination Management Structure Based on Fog Computing 14

A Review Study of an Intelligent Strategy Towards Higher Edu...

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14th IEEE Control and system Graduate Research Colloquium, ICSGRC 2023

作者： Al-Hakimi, Asmaa Mahfoud Subbiah, Ahgalya Johar, Md Gapar Bin Md Jaharadak, Adam Amril Bin Management and Science University Faculty of Information Sciences and Engineering Shah Alam Malaysia Management and Science University Research Innovation Technology & System It and Innovation Centre Shah Alam Malaysia

ISBN: (纸本)9798350346237

Universities currently employ manual and partial digital methods for managing examinations, which involve extensive paperwork and consume significant time. This approach raises significant issues, such as time-consuming processes, errors, poor exam and result quality, submission delays, plagiarism, inaccurate grading, and a lack of security. Lecturers face challenges when creating exam questions for every subject every semester, often reusing previous questions without considering their quality, failing educational quality standards. The marking of exam scripts is often rushed to meet deadlines, leading to substandard grading, and the entire process is time-consuming and requires unnecessary effort. Un considerable amount of paper is utilized, and the storage of exam scripts occupies substantial physical space, posing the risk of damage or loss. A novel approach was proposed via Intelligent Green Examination Structure based on fog computing to address these issues. This innovative structure aims to transform traditional examination procedures into an automated, intelligent, and secure system that reduces human involvement and ensures high-quality outcomes. This research focuses on evaluating the effectiveness of an Artificial Intelligence (AI)-powered digital exam management structure based on Fog Computing in enhancing the efficiency and security of exam administration. The structure of this paper begins with a problem discussion, hypothesis, objectives, significance of the research, literature review, and research methodology. © 2023 IEEE.

关键词： Fog computing

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Polarization-induced photocurrent switching effect in heterojunction photodiodes

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Nano Research 2023年第4期16卷 5503-5510页

作者： Dingbo Chen Yu-Chang Chen Guang Zeng Yu-Chun Li Xiao-Xi Li Dong Li Chao Shen Nan Chi Boon S.Ooi David Wei Zhang Hong-Liang Lu State Key Laboratory of ASIC and System Shanghai Institute of Intelligent Electronics&SystemsSchool of MicroelectronicsFudan UniversityShanghai 200433China Key Laboratory for Information Science of Electromagnetic Waves Department of Communication Science and EngineeringFudan UniversityShanghai 200433China Photonics Laboratory Division of ComputerElectricaland Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia

The unipolar photocurrent in conventional photodiodes(PDs)based on photovoltaic effect limits the output modes and potential versatility of these devices in *** photodiodes with photocurrent switching are emerging as a promising solution for obtaining photoelectric devices with unique and attractive functions,such as optical logic ***,we design an all-solid-state chip-scale ultraviolet(UV)PD based on a hybrid GaN heterojunction with engineered bipolar polarized electric *** introducing the polarization-induced photocurrent switching effect,the photocurrent direction can be switched in response to the wavelength of incident light at 0 V *** particular,the photocurrent direction exhibits negative when the irradiation wavelength is less than 315 nm,but positive when the wavelength is longer than 315 *** device shows a responsivity of up to−6.7 mA/W at 300 nm and 5.3 mA/W at 340 nm,*** particular,three special logic gates in response to different dual UV light inputs are demonstrated via a single bipolar PD,which may be beneficial for future multifunctional UV photonic integrated devices and systems.

关键词： GaN heterostructure ultraviolet(UV)photodiodes bipolar photocurrent optical logic device

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A platform for integrated spectrometers based on solution-processable semiconductors

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Light(science & Applications) 2023年第9期12卷 1739-1748页

作者： Yanhao Li Xiong Jiang Yimu Chen Yuhan Wang Yunkai Wu De Yu Kaiyang Wang Sai Bai Shumin Xiao Qinghai Song Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic SystemsHarbin Institute of Technology(Shenzhen)ShenzhenGuangdong 518055China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengduSichuan 611731China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuanShan`xi 030006China

Acquiring real-time spectral information in point-of-care diagnosis,internet-of-thing,and other lab-on-chip applications require spectrometers with hetero-integration capability and miniaturized *** to conventional semiconductors integrated by heteroepitaxy,solution-processable semiconductors provide a much-flexible integration platform due to their solution-processability,and,therefore,more suitable for the multi-material integrated ***,solution-processable semiconductors are usually incompatible with the micro-fabrication *** work proposes a facile and universal platform to fabricate integrated spectrometers with semiconductor substitutability by unprecedently involving the conjugated mode of the bound states in the continuum(conjugated-BIC)***,exploiting the conjugated-BIC photonics,which remains unexplored in conventional lasing studies,renders the broadband photodiodes with ultra-narrowband detection ability,detection wavelength tunability,and on-chip integration ability while ensuring the device *** based on these ultra-narrowband photodiode arrays exhibit high spectral resolution and wide/tunable spectral *** fabrication processes are compatible with solution-processable semiconductors photodiodes like perovskites and quantum dots,which can be potentially extended to conventional *** from the spectrometers directly constitute the incident spectra without being computation-intensive,latency-sensitive,and *** an example,the integrated spectrometers based on perovskite photodiodes are capable of realizing narrowband/broadband light reconstruction and in-situ hyperspectral imaging.

关键词： semiconductors process integration

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GMBox: Box-Supervised Remote Sensing Images Instance Segmentation Based on Multi-Scale Gradient Prior Fusion and Mask Correction 11

GMBox: Box-Supervised Remote Sensing Images Instance Segment...

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11th International Conference on information systems and Computing technology, ISCTech 2023

作者： Qi, Ying Hou, Wei Yang, Liuqing Yan, Yiming Harbin Engineering University College of Information and Communication Engineering Harbin China Harbin Aerospace Star Data System Science and Technology Co. Ltd. Harbin China

ISBN: (纸本)9798350342406

In the field of remote sensing, instance segmentation of buildings helps to accurately extract their position, shape, and size information. However, instance segmentation requires pixel by pixel annotation, which consumes a lot of manpower and time. In order to avoid complex pixel level annotation work, this paper proposes a boundary box supervised instance segmentation network GMBox, which is composed of multi-scale gradient prior fusion and mask correction module, and can achieve instance segmentation of buildings using only the annotation of the target box. GMBox uses multi-scale prior fusion to replace pixel by pixel annotation information to guide mask segmentation. Furthermore, in order to avoid the issue of incomplete masks, we propose a mask correction module to supplement missing mask information. Our method achieved state-of-the-art segmentation performance on a multi-scale remote sensing building dataset, significantly outperforming previous weakly supervised methods. © 2023 IEEE.

关键词： Pixels

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A DVS signal recognition method with high generalization based on FrFT 28

A DVS signal recognition method with high generalization bas...

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28th International Conference on Optical Fiber Sensors, OFS 2023

作者： Ge, Zhao Zhao, Can Wu, Hao Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optics and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

We propose a DVS signal recognition method based on FrFT, which enhances the learning effectiveness of neural network by exploring more feature dimensions of the signal, achieving high recognition accuracy with good g... 详细信息

ISBN: (纸本)9781957171302

关键词： Signal processing

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