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4th International Computational Imaging Conference, CITA 2024

作者： Zhang, Ziyu Peng, Jiajun Lai, Yongli University of Central Lancashire Lancashire Preston United Kingdom School of Information and Electronics Beijing Institute of Technology Beijing100081 China National Engineering Research Center of Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781510688834

This paper reports for the first time a highly sensitive cavity-enhanced photoacoustic sensor constructed based on anti-resonant hollow-core fibre (AR-HCF) with acousto-optic transducer thin film, which shows great potential in photoacoustic sensing applications. In this design, the structure improves the reflectivity of the resonance cavity by introducing a resonance cavity enhancement mechanism that extends the time to capture light with a cavity fineness of 55, increasing the acoustic pressure sensitivity of the optical resonance cavity by more than an order of magnitude. The unique features of this all-fibre optic sensing architecture are its high sensitivity, low-loss characteristics, excellent stability, and the significant advantages of the sensor in terms of size and cost. This opens up new avenues for the development of photoacoustic sensing technology. © 2025 SPIE.

关键词： Fabry-Perot interferometers

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Mobile Generalized Category Discovery for Road Damage Detection

Mobile Generalized Category Discovery for Road Damage Detect...

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IEEE International Symposium on Intelligent Signal Processing and Communication systems (ISPACS)

作者： Akashi Rintaro Kousuke Matsushima Advanced Engineering Course National Institute of Technology Kurume College Kurume Japan Department of Control and Information Systems Engineering National Institute of Technology Kurume College Kurume Japan

ISBN: (数字)9798350389210

ISBN: (纸本)9798350389227

In recent years, there has been a considerable amount of research conducted on the topic of road damage detection using deep learning techniques, with the aim of supporting the safe driving of mobility vehicles. To date, convolutional neural networks and supervised learning with large datasets have been employed for road damage detection, demonstrating high classification accuracy. However, all images in the dataset must be manually labeled. Moreover, images cannot be classified into classes that are not included in the training dataset. The real world presents a vast array of damage types, and the unlabeled input images encompass both known and unknown classes. This renders the system unsuitable for use in providing safe driving support for mobility. Considering this background, Generalized Category Discovery (GCD) has been put forth as a potential solution, aiming to achieve accurate classification in a comprehensive setting where both known and unknown classes are present in unlabeled data. The purpose of this study is to propose a novel model for GCD with the aim of providing safe driving assistance for mobility. The model is based on the pre-trained MobileViT. To validate its performance, this paper examines its performance on the general CIFAR-10 and CIFAR-100 datasets and on a road damage-specific dataset, and discusses the challenges encountered.

关键词： Training Deep learning Accuracy Communication systems Roads Clustering methods Supervised learning Signal processing Convolutional neural networks

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Graphene MEMS and NEMS

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Microsystems & Nanoengineering 2024年第5期10卷 1-34页

作者： Kuge Fan Chang He Jie Ding Qiang Gao Hongliang Ma Max CLemme Wendong Zhang Advanced Research Institute of Multidisciplinary Sciences Beijing Institute of Technology100081 BeijingChina Center for Interdisciplinary Science of Optical Quantum and NEMS Integration School of PhysicsBeijing Institute of Technology100081 BeijingChina School of Integrated Circuits and Electronics Beijing Institute of Technology100081 BeijingChina Chair of Electronic Devices Faculty of Electrical Engineering and Information TechnologyRWTH Aachen UniversityOtto-Blumenthal-Str.2552074 AachenGermany AMO GmbH Otto-Blumenthal-Str.2552074 AachenGermany state Key Laboratory of Dynamic Measurement Technology North University of ChinaTaiyuan 030051China National Key Laboratory for Electronic Measurement Technology School of Instrument and ElectronicsNorth University of ChinaTaiyuan 030051China

Graphene is being increasingly used as an interesting transducer membrane in micro-and nanoelectromechanical systems(MEMS and NEMS,respectively)due to its atomical thickness,extremely high carrier mobility,high mechanical strength,and piezoresistive electromechanical *** devices based on graphene feature increased sensitivity,reduced size,and new *** this review,we discuss the merits of graphene as a functional material for MEMS and NEMS,the related properties of graphene,the transduction mechanisms of graphene MEMS and NEMS,typical transfer methods for integrating graphene with MEMS substrates,methods for fabricating suspended graphene,and graphene patterning and electrical ***,we provide an overview of devices based on suspended and nonsuspended graphene ***,we discuss the potential and challenges of applications of graphene in MEMS and *** to its unique features,graphene is a promising material for emerging MEMS,NEMS,and sensor applications.

关键词： integrating suspended electrical

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Multi-Lens Visual SLAM with Integrated Moving Object Removal using Unsupervised Models

Multi-Lens Visual SLAM with Integrated Moving Object Removal...

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Robotics, engineering, Science, and technology (RESTCON), International Conference on

作者： Ryoichirou Hara Kousuke Matsushima Advanced Engineering Course National Institute of Technology Kurume College Fukuoka Japan Department of Control and Information Systems Engineering National Institute of Technology Kurume College Fukuoka Japan

In advanced Driver-Assistance systems (ADAS), SLAM (Simultaneous Localization and Mapping) technology is required to accurately estimate the position and orientation of onboard cameras. Compared to LiDAR SLAM, Visual SLAM has the advantage of collecting rich environmental information at a lower cost. However, the accuracy of the estimated pose and map construction is greatly reduced by moving objects in the camera scene. To solve this problem, a multi-camera SLAM has been proposed, which works robustly in dynamic environments by using multiple cameras to acquire more feature points from omnidirectional environmental information. In this paper, we propose a robust SLAM system based on a multi-camera SLAM system combined with object detection and semantic segmentation networks. We then evaluate the robustness of the proposed method by comparing it to SLAM systems that do not remove moving objects. Experimental results showed that the Absolute Trajectory Error and the Relative Position Error performed better than conventional SLAM by masking moving objects. It also showed that more static objects were detected and constructed in the map.

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Voxelated opto-physically unclonable functions via irreplicable wrinkles

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Light(Science & Applications) 2023年第11期12卷 2378-2390页

作者： Kitae Kim Se-Um Kim Moon-Young Choi Mohsin Hassan Saeed Youngmin Kim Jun-Hee Na Department of Convergence System Engineering Chungnam National University99 Daehak-roYuseong-guDaejeon 34134Republic of Korea Department of Electrical and Information Engineering Seoul National University of Science&Technology232 Gongneung-roNowon-guSeoul 01811Republic of Korea Department of Electrical Electronicsand Communication Engineering EducationChungnam National University99 Daehak-roYuseong-guDaejeon 34134Republic of Korea Hologram Research Center Korea Electronics Technology InstituteWorld Cup buk-ro 54-gilMapo-guSeoul 03924Republic of Korea

The increased prevalence of the Internet of Things(IoT)and the integration of digital technology into our daily lives have given rise to heightened security risks and the need for more robust security *** response to these challenges,physical unclonable functions(PUFs)have emerged as promising solution,offering a highly secure method to generate unpredictable and unique random digital values by leveraging inherent physical ***,traditional PUFs implementations often require complex hardware and circuitry,which can add to the cost and complexity of the *** present a novel approach using a random wrinkles PUF(rw-PUF)based on an optically anisotropic,facile,simple,and cost-effective *** wrinkles contain randomly oriented liquid crystal molecules,resulting in a two-dimensional retardation map corresponding to a complex birefringence ***,our proposed technique allows for customization based on specific requirements using a spatial light modulator,enabling fast *** random wrinkles PUF has the capability to store multiple data sets within a single PUF without the need for physical ***,we introduce a concept called‘polyhedron authentication,’which utilizes three-dimensional information storage in a voxelated random wrinkles *** approach demonstrates the feasibility of implementing high-level security technology by leveraging the unique properties of the rw-PUF.

关键词： hardware functions utilize

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IoT Based Smart Irrigation system for Crops and Water Leakage Detection Using Image Processing

IoT Based Smart Irrigation System for Crops and Water Leakag...

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information Technologies and Communications (GCITC), Global Conference on

作者： Shubham. H. Ranpise Hritik Mandve Surya Charan Prashant Pal Shashank Kumar Singh Saurabh Bansod Yogesh Kumar National Institute of Electronics and Information Technology Aurangabad India Electronic System Engineering National Institute of Electronics and Information Technology Aurangabad India

This paper will provide an image-processing technique for locating a water leak in subterranean pipes. When intelligent cities started to appear, several countries began to address this problem by utilizing technologies like intelligent water networks. However, this idea seeks to contribute to the context of smart cities using less complex and non-destructive technology. This study also makes a case for replacing the pretreatment stage of image processing with deep learning or machine learning techniques. It will be shown that this feature helps emphasize interesting spots and boost contrast. Thermal images of the soil's surface collected with an underground water leak were used to test the hypothesis. These conditions were presented in a lab using a flawless sandy soil model. Three sensors—ultrasonic sensors, soil moisture sensors, and temperature sensors—that are connected to a Raspberry Pi are used in this project. The system will use the idea of image processing to collect data from the plants. Before the fertilizer provision procedure is continued, this data will be compared to the Leaf Color Chart (LCC) chart. The project aims to create an effective irrigation system based on IoT. Utilizing sensors and image processing to improve irrigation effectiveness and monitor the soil's humidity, moisture, and temperature levels year-round.

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Acceptor engineering Produces Ultrafast Nonradiative Decay in NIR-Ⅱ Aza-BODIPY Nanoparticles for Efficient Osteosarcoma Photothermal Therapy via Concurrent Apoptosis and Pyroptosis

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Research 2024年第1期2023卷 625-635页

作者： Zhenxiong Shi Hua Bai Jiaxing Wu Xiaofei Miao Jia Gao Xianning Xu Yi Liu Jiamin Jiang Jiaqi Yang Jiaxin Zhang Tao Shao Bo Peng Huili Ma Dan Zhu Guojing Chen Wenbo Hu Lin Li Wei Huang Frontiers Science Center for Flexible Electronics Xi’an Institute of Flexible Electronics(IFE)and Xi’an Institute of Biomedical Materials&EngineeringNorthwestern Polytechnical UniversityXi’an 710072China Key Laboratory for Organic Electronics and Information Displays&Institute of Advanced Materials(IAM) Nanjing University of Posts&TelecommunicationsNanjing 210023China Key Laboratory of Flexible Electronics(KLOFE)and IAM Nanjing Tech UniversityNanjing 211800China Britton Chance Center for Biomedical Photonics-MoE Key Laboratory for Biomedical Photonics Wuhan National Laboratory for Optoelectronics-Advanced Biomedical Imaging FacilityHuazhong University of Science and TechnologyWuhan 430074China Department of Orthopedics Xijing HospitalThe Fourth Military Medical UniversityXi’an 710032China The Institute of Flexible Electronics(IFE Future Technologies)Xiamen UniversityXiamen 361005China

Small-molecule photothermal agents(PTAs)with intense second near-infrared(NIR-Ⅱ,1,000 to 1,700 nm)absorption and high photothermal conversion efficiencies(PCEs)are promising candidates for treating deep-seated tumors such as *** date,the development of small-molecule NIR-Ⅱ PTAs has largely relied on fabricating donor–acceptor–donor(D–A–D/D′)structures and limited success has been ***,through acceptor engineering,a donor–acceptor–acceptor(D–A–A′)-structured NIR-Ⅱ aza-boron-dipyrromethene(aza-BODIPY)PTA(SW8)was readily developed for the 1,064-nm laser-mediated phototheranostic treatment of *** the donor groups to acceptor groups produced remarkable red-shifts of absorption maximums from first near-infrared(NIR-Ⅰ)regions(~808 nm)to NIR-Ⅱ ones(~1,064 nm)for aza-BODIPYs(SW1 to SW8).Furthermore,SW8 self-assembled into nanoparticles(SW8@NPs)with intense NIR-Ⅱ absorption and an ultrahigh PCE(75%,1,064 nm).This ultrahigh PCE primarily originated from an additional nonradiative decay pathway,which showed a 100-fold enhanced decay rate compared to that shown by conventional pathways such as internal conversion and vibrational ***,SW8@NPs performed highly efficient 1,064-nm laser-mediated NIR-Ⅱ photothermal therapy of osteosarcoma via concurrent apoptosis and *** work not only illustrates a remote approach for treating deep-seated tumors with high spatiotemporal control but also provides a new strategy for building high-performance small-molecule NIR-Ⅱ PTAs.

关键词： donor BODIPY intense

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A TRACK ASSOCIATION ALGORITHM BASED ON MOTION DYNAMICS FEATURES IN ENTOMOLOGICAL RADAR

A TRACK ASSOCIATION ALGORITHM BASED ON MOTION DYNAMICS FEATU...

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IET International Radar Conference 2023, IRC 2023

作者： Li, Biao Liu, Hanzhe Zhang, Tianran Cai, Jiong Wang, Rui The Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China The Advanced Technology Research Institute Beijing Institute of Technology Jinan250300 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China Beijing Institute of Electronic System Engineering Beijing100854 China

ISBN: (纸本)9781839539954

When tracking densely distributed targets such as insects, the traditional trajectory association algorithm exhibits poor correlation performance, leading to a decline in multi-target tracking efficiency. In this paper, based on the behavioral characteristics of insects gathering and co-orienting during aerial flight, a motion dynamic feature-assisted multi-target tracking method is proposed. Firstly, a three-dimensional biological distribution state matrix is constructed through spatial gridization. Then, a three-dimensional circular convolution is employed to estimate the target's motion dynamic feature, assisting in multi-target trajectory initialization. Finally, the improvement effect of the method on trajectory tracking accuracy is validated through simulations and migration insect data. © The Institution of engineering & technology 2023.

关键词： Radar tracking

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Behavior State Recognition of Complex Wingbeat Patterns Targets Based on Bi-LSTM

Behavior State Recognition of Complex Wingbeat Patterns Targ...

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IET International Radar Conference 2023, IRC 2023

作者： Wang, Lianjun Zhang, TianRan Li, Weidong Wang, Rui Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan250300 China Ministry of Education Beijing100081 China Beijing Institute of Electronic System Engineering Beijing100854 China

ISBN: (纸本)9781839539954

Radar serves as a crucial tool for observing airborne biological targets, with wingbeat frequency being a vital parameter for distinguishing between different species of organisms. The wingbeat patterns of airborne biological targets are diverse. To improve the extraction of wingbeat frequencies from radar signals, it is necessary to identify the behavioral states of different wingbeat patterns and eliminate signals that cannot be used for wingbeat extraction. This paper presents an intelligent recognition algorithm based on wingbeat pattern behavioral states. Firstly, Doppler frequency modeling is performed on wingbeat pattern targets, and then simulated data is input into a Bi-LSTM network for pattern recognition training. Finally, the algorithm's performance is validated using field radar measurements after performing short-time Fourier transformation on the measured data. The validation results based on radar experimental data indicate that this algorithm can effectively recognize wingbeat pattern behavioral states. © The Institution of engineering & technology 2023.

关键词： Radar target recognition

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Enhanced NO2 Sensitivity of Vertically Stacked van der Waals Heterostructure Gas Sensor and Its Remarkable Electric and Mechanical Tunability

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ACS Applied Materials and Interfaces 2024年第7期16卷 9495-9505页

作者： Cao, Ze Zhao, Yue Wu, Gang Cho, Jiung Abid, Mohamed Choi, Miri Coileáin, Cormac Ó. Hung, Kuan-Ming Chang, Ching-Ray Wu, Han-Chun Department of Electronics Engineering National Kaohsiung University of Science and Technology Kaohsiung807 Taiwan School of Physics Beijing Institute of Technology Beijing100081 China Western Seoul Center Korea Basic Science Institute Seoul03579 Korea Republic of Department of Advanced Materials Engineering Chung-Ang University Anseong-si Gyeonggi-do17546 Korea Republic of Chuncheon Center Korea Basic Science Institute Chuncheon24341 Korea Republic of Institute of Physics Faculty of Electrical Engineering and Information Technology University of the Bundeswehr Munich Neubiberg85577 Germany Quantum Information Center Chung Yuan Christian University Taoyuan32023 Taiwan Department of Physics National Taiwan University Taipei106 Taiwan

Nanodevices based on van der Waals heterostructures have been predicted, and shown, to have unprecedented operational principles and functionalities that hold promise for highly sensitive and selective gas sensors with rapid response times and minimal power consumption. In this study, we fabricated gas sensors based on vertical MoS2/WS2 van der Waals heterostructures and investigated their gas sensing capabilities. Compared with individual MoS2 or WS2 gas sensors, the MoS2/WS2 van der Waals heterostructure gas sensors are shown to have enhanced sensitivity, faster response times, rapid recovery, and a notable selectivity, especially toward NO2. In combination with a theoretical model, we show that it is important to take into account created trapped states (flat bands) induced by the adsorption of gas molecules, which capture charges and alter the inherent built-in potential of van der Waals heterostructure gas sensors. Additionally, we note that the performance of these MoS2/WS2 heterostructure gas sensors could be further enhanced using electrical gating and mechanical strain. Our findings highlight the importance of understanding the effects of altered built-in potentials arising from gas molecule adsorption induced flat bands, thus offering a way to enhance the gas sensing performance of van der Waals heterostructure gas sensors. © 2024 American Chemical Society.

关键词： Tungsten compounds

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