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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications X"

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Fabrication and Characterization of Nano Structured ZnO Thin Films For Gas Sensing applications

Fabrication and Characterization of Nano Structured ZnO Thin...

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2023 International conference on Smart systems for applications in Electrical Sciences, ICSSES 2023

作者： Sthuthi, A. Kumar, K Naveen Rutikesh, A. Prasanna Kumar, R. Sagar, V. Nitheesh, P. Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Bengaluru560064 India Nitte Meenakshi Institute of Technology Center for Nanomaterials and Mems Bengaluru560064 India

ISBN: (纸本)9798350347296

Over the last few decades, the rapid growth of industrialization has led to a significant increase in atmospheric pollution and a decline in air quality, resulting in various respiratory illnesses. Currently, thin film gas sensors are becoming increasingly important in the detection of harmful gases. The sensitivity of the sensor relies on the materials, morphology, and techniques used to create the thin film, with a thickness ranging in nm. These metal semiconductor sensors are manufactured by depositing a thin film on different materials using the physical vapour deposition technique or Hydrothermal Method. In this proposed work, we fabricated 1D,2D,3D nanostructured zinc oxide thin films on a glass substrate as a sensitive layer by varying temperature and chemical composition, with silver (Ag) as a metal contact. The fabricated layers were characterized by Scanning Electron Microscopy (SEM) which reviled nano flower, nanorod & nanowires like structure, layer composition of Zn and O elements wear got from Energy Dispersive x-ray Analysis (EDAx) and crystalline nature of the grown ZnO is characterized by x-ray diffraction (xRD) it revealed a Hexagonal Crystal structured ZnO nanoparticle with Alpha (°): 90, Beta (°): 90, Gamma (°): 120 and IV Characteristics were obtained from fabricated device are in resistive nature. Furthermore, the device is characterized for gas sensing application to sense the acetone vapour. © 2023 IEEE.

关键词： Scanning electron microscopy

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5th EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2024

5th EAI International Conference on Cognitive Computing and ...

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5th EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2024

ISBN: (纸本)9783031770777

The proceedings contain 102 papers. The special focus in this conference is on Cognitive Computing and Cyber Physical systems. The topics include: Comparative Analysis Between Fuzzy Theorem and KNN Methodology for Fault and Anomaly Detection;Production Classification in E-Commerce Based on Product Descriptions with Natural Language Processing (NLP) and Machine Learning Models;defense Strategy Security Mechanism for sensor Networks;an Efficient Approach for Food Demand Forecasting Using an Ensemble Technique and Statistical Analysis;identification of Different Medicinal Plants Using Machine Learning and Image Processing;Leveraging the Power of MRMR in Machine Learning Models for Multi Class Classification of Rice to Promote Sustainable and Efficient Smart Farming;performance Analysis of Word Recognition System Using Tensor Flow;A Distinct Artificial Feed Forward Neural Network (AF2NN) Model for Predicting Compressive Strength of Geo-Polymer Concrete;Performance Assessment of Deep Learning-Models for Kidney Tumor Segmentation using CT Images;investigation of Quantum Machine Learning for Smart Eco System Focusing on Energy Optimization;Classification of Skin Cancer Using CNN with Transformer Layer;a Unified Approach to Smart Coconut Farming with IoT and Deep Learning for Recommendation of Pesticides and Fertilizers;classifying the Severity of Diabetic Retinopathy Using Deep Learning;Exploring Prominent Convolutional Neural Network Frameworks to Identify COVID-19 Deceases by Using Medical Images;non-invasive Technique for Detecting Glycosuria Through Image Processing and Deep Learning Approaches;deep Learning Strategies for Multiclass Skin Disease Classification;AI-Driven Glaucoma Susceptibility Assessment and Lifestyle Guidance;Deep Learning in Cartoon Moderation: Distinguishing Child-Friendly Content with CNN Architectures;THz Wideband Metamaterial Absorber for Different applications.

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SF6 mixed in N2 gas sensing responses from CMOS compatible AlN and ScAlN pyroelectric detectors 23

SF6 mixed in N2 gas sensing responses from CMOS compatible A...

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conference on MOEMS and Miniaturized systems xxIII

作者： Ng, Doris K. T. Chen, Weiguo xu, Linfang Lau, Harmony J. E. Tobing, Landobasa Y. M. Ho, Chong Pei Chung, Wing Wai Jaafar, Norhanani Fu, Hanfeng Zhang, Qingxin ASTAR Inst Microelect IME 2 Fusionopolis WayInnovis 08-02 Singapore 138634 Singapore

ISBN: (纸本)9781510670594;9781510670587

SF6 gas sensor is developed to measure SF6 gas at different concentrations mixed with N-2 based on mid-IR absorption of SF6 at a wavelength of similar to 10.6 mu m. An optical bandpass filter of similar to 10.6 mu m is put in front of a thermal emitter source to allow light of this wavelength to pass through. A CMOS compatible pyroelectric detector is put on the other end of the gas channel to measure the voltage change due to presence of SF6 gas. Here, we use AlN-based and 12% ScAlN-based pyroelectric detectors respectively. The results show for 100% SF6 gas sensing, 12% ScAlN-based pyroelectric detector gives similar to 73% higher response compared to when using AlN-based pyroelectric detector. The voltage drop between reference N-2 gas and different SF6 gas concentrations is also higher (up to 2x) when using 12% ScAlN-based pyroelectric detector. Based on the measured SF6 gas responses, we try to estimate the lower limit of detection of our gas sensors when using AlN- and ScAlN- based pyroelectric detectors respectively. Response times taken for both detectors to detect SF6 concentrations are measured to be similar to 6.26 s for AlN-based pyroelectric detector and similar to 1.99 s for 12% ScAlN-based pyroelectric detector. Finally, both pyroelectric detectors' electrical responses across different frequencies are measured and their 3-dB frequency cutoffs are extracted to be similar to 13.5 Hz and similar to 12.6 Hz for AlN- and 12% ScAlN- based pyroelectric detector respectively. The results provide more understanding on characteristics of pyroelectric detectors in SF6 greenhouse gas sensing based on mid-IR absorption.

关键词： greenhouse gases SF6 gas sensor pyroelectric detector scandium aluminum nitride aluminum nitride CMOS compatible non-dispersive infrared

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Maintenance-Free Wireless sensor Networks for Infrastructure Monitoring

Maintenance-Free Wireless Sensor Networks for Infrastructure...

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International conference on Electromagnetics in advanced applications (ICEAA)

作者： Thomas Ussmueller Djordje Gunjic Moritz Fischer Michael Renzler Dominik Mair Microelectronics and Implantable Systems University of Innsbruck Innsbruck Austria

This paper proposes a solution for wireless monitoring of concrete structures using batteryless wireless sensor nodes based on UHF RFID technology. The system comprises a reader device and one or more wireless sensor nodes, which are connected to various sensors. The wireless sensor nodes are powered by the reader, and the communication protocol is based on ISO 18000-63. An external chloride sensor is used to gauge the concentration of chloride ions, which indicate the degree of corrosion of the concrete structure. The proposed system eliminates the need for cables or batteries and allows for data collection in hard-to-reach areas. To ensure reliable operation of the system, an automated antenna design methodology has been proposed that utilizes a pixelated structure based on a cross-shaped pattern. The methodology employs an evolutionary algorithm to generate an initial population of antenna designs, which are subjected to electromagnetic simulation using a commercial simulation tool. The performance of the sensor platform was evaluated in concrete blocks, and the results demonstrate the effectiveness of the proposed approach for monitoring concrete structures.

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Research on the development and application of highway intelligent information services based on vehicle road collaboration

Research on the development and application of highway intel...

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2024 International conference on Electronics, Electrical and Information Engineering, ICEEIE 2024

作者： Zhang, Sheng Shen, Zhigang Chen, xiangming Shi, Zhuofan Lv, Fen Qujing China Construction Qukun Expressway Investment and Development Co. Ltd. Yunnan 655099 China Resource Center China Academy of Transportation Sciences Beijing100029 China Investment and Development Co. Ltd. Yunnan 650299 China

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

Effectively integrating advanced information methods to promote the digital transformation of highways, improving their management efficiency and service level, is an important way to enhance the high-quality development of highway networks. Through the collection and integration of dynamic traffic information in the whole space and time, vehicle-road collaboration can provide accurate, real-time and personalized travel information services. The multiple rounds of policy, technology, and market promotion have led to the rapid development of vehicle-road collaboration on intelligent highways, but the construction and application process is generally faced with the weak ability to reach the information, the sense of user experience is not strong and other issues. The coverage rate of roadside equipment and the penetration rate of vehicle end are increasing, laying the foundation for the construction of an integrated and refined travel information service model. This paper analyzes the key technologies and research status of information exchange and information services in vehicle road collaboration, looks forward to a new model of integrated travel services, and relies on the digital foundation of intelligent highways to create a highway information service model based on vehicle road collaboration technology. This provides a reference for expanding innovative applications of vehicle-road collaboration and enhancing the construction and operation efficiency of intelligent highways. © 2024 SPIE.

关键词： advanced traveler information systems

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Deep Learning-based 3D Object Detection Using LiDAR and Image Data Fusion 19

Deep Learning-based 3D Object Detection Using LiDAR and Imag...

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19th IEEE-India-Council International conference (INDICON)

作者： Bharadhwaj, Bizzam Murali Nair, Binoy B. Amrita Vishwa Vidyapeetham Amrita Sch Engn Dept Elect & Commun Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9781665473507

Robust environmental perception systems are key to implementing advanced driver assistance features in modern vehicles. To acquire knowledge of the environment, vehicles employ sensors like LiDAR, Camera and Radar for object detection and tracking. For autonomous driving applications (SAE J3016 Level 3 and above), LiDAR and camera-based systems are most common. Camera-based systems have difficulty in operating under low-visibility conditions while LiDAR-based systems do not perform well in detecting objects at farther distances due to sparse point clouds. This work presents an approach to improving the shortcomings of the LiDAR-based detection systems by upsampling sparse LiDAR point clouds and then fusing the camera data to it to improve the quality of the point clouds generated that can be then used for object detection and identification. The proposed technique has been validated on the KITTI vision benchmark dataset. Results indicate that the proposed system is able to outperform standalone LiDAR-based 3D Object detection.

关键词： advanced Driver Assistance systems Sparsely Embedded Convolutional Detection Average Precision

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A Composite Right/Left-Handed Transmission Line-Based Reconfigurable Antenna for UHF RFID applications 12

A Composite Right/Left-Handed Transmission Line-Based Reconf...

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12th IEEE-APS Topical conference on Antennas and Propagation in Wireless Communications, APWC 2023

作者： Song, C. Qin, Y. Liang, x. Wang, Z. Ye, S. Zhang, Q. Fang, G. Aerospace Information Research Institute Chinese Academy of Science Beijing100190 China Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9798350320602

Recently, internet of things (IoT) has caused revolution in almost all walks of life. As a critical object detection, identification, and sensing technology of IoT, radio frequency identification (RFID) has been treasured as the interface between the digital and physical world [1]. As the key component of RFID, RFID reader antenna is facing many challenges which restricts the development of RFID and IoT. First, the small and single coverage zone limit the application scenarios of RFID [2]-[3]. Moreover, there is a research blank of frequency reconfigurable RFID reader antenna, which is treasured because it can free the frequency band limit of RFID reader without violating different countries' RF policies and increase the information diversity in RFID sensing systems. © 2023 IEEE.

关键词： Internet of things

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Feasibility assessment of an optical sensor for long-term electrocardiogram monitoring 11

Feasibility assessment of an optical sensor for long-term el...

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conference on advanced sensor systems and applications xI

作者： Zhao, Jing Li, Mingwei Wang, Qi Zhang, Hongxia Liu, Tiegen Jia, Dagong Tianjin Univ Coll Precis Instrument & Optoelect Engn Key Lab Optoelect Informat Technol Minist Educ Tianjin 300072 Peoples R China

ISBN: (数字)9781510646520

ISBN: (纸本)9781510646520;9781510646513

Cardiovascular disease is a major risk to human health, which needs long-term monitoring for prevention and early diagnosis. Optical sensors present the advantage of immunity to electromagnetic field and high sensitivity, and have been growing in a variety of emerging medical applications to monitor human cardiac parameters. Most of the current optical sensors can only measure limited cardiovascular information such as the heart rate, therefore, the optics-based approach for cardiac electrophysiology has attracted the attention of more researchers. In this paper, we developed a method to evaluate the availability of our proposed anti-EMI optical sensor. The sensitivity of optical sensor based on electro-optic modulation can achieve 266.4 mu W/V and detect the electrocardiogram (ECG) by attached to the chest and edge of clavicle. A series of ECG signals over 1 hour were analyzed using proposed method, which is driven by the optimization of R-peak location, Lorenz plot and statistical correlation. ECG monitoring results of the optical sensors are in accordance with a standard clinical device (SOMNOtouch (TM) RESP) among different subjects. Moreover, both the sensors are tested in daily electromagnetic conditions, and it causes some obvious signal artifacts to the SOMNO system, but almost no effect on the optical sensors during the long-term test. We provide further grounds for such clinical applications by demonstrating, for the first time to our knowledge, optics-based device used in long-term ECG monitoring, an essential tool in modern cardiac monitoring applications.

关键词： Optical sensors Electro-optic modulation Long-term ECG Monitoring

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5th EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2024

5th EAI International Conference on Cognitive Computing and ...

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5th EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2024

ISBN: (纸本)9783031770807

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ADL-VTON: advanced Deep Learning Virtual Try-On Technique 7

ADL-VTON: Advanced Deep Learning Virtual Try-On Technique

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7th International conference on Image Information Processing, ICIIP 2023

作者： Tajinder Sharma, Sahil International Institute of Information Technology Bangalore India Ulster University School of Computing Engineering And Intelligent Systems Londonderry United Kingdom

ISBN: (数字)9798350371406

ISBN: (纸本)9798350371406

The objective of Image-based Virtual Try-On (VTO) is to effectively superimpose retail clothing items onto a specific individual, creating a seamless integration between the garments and the person. Despite significant advancements in VTO (Virtual Try-On) technology, numerous techniques struggle to maintain semantic integrity, particularly when faced with difficult inputs like complicated human poses and complex clothing designs. The presence of these discrepancies undermines the overall quality of the final visual outputs, hence reducing both the user experience and the effectiveness of the Virtual Try-On (VTO) system. This study provides an in-depth investigation into the enduring problem by utilizing advanced deep learning techniques. In addition to just recognizing the obstacles, this study emphasizes a thorough comprehension derived from extensive literature reviews and practical code experiments. We aim to tackle the significant issue of preserving semantic detail in VTO applications by implementing cutting-edge techniques. This article adopts a future-oriented approach to not only illuminate current constraints but also provide a trajectory for forthcoming initiatives that seek to enhance the virtual retail domain and fully actualize the capabilities of AI-driven fashion technology. © 2023 IEEE.

关键词： Computer vision

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