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2022 IEEE International Conference on Flexible and Printable sensors and Systems (FLEPS)

作者： Shakthivel, Dhayalan Christou, Adamos Dahiya, Abhishek Singh Dahiya, Ravinder Univ Glasgow Bendable Elect & Sensing Technol BEST Grp Glasgow G12 8QQ Lanark Scotland

ISBN: (纸本)9781665442732

Inorganic NWs in the sub-100 nm diameter range have shown great potential for flexible electronics. Research in this area is governed by the three distinct domains, (1) growth strategy of NWs, (2) NWs printing, (3) development of flexible devices. These three domains are interdependent and the current works aims to show the connectivity via a generalized vapor-liquid-solid (VLS) based high temperature bottom-up growth process, which serves a key role to produce high quality NWs of length similar to 10-50 mu m. These NWs are printed over a flexible substrates using contact or direct roll transfer printing techniques, eventually leading to flexible devices. The key requirement from the growth process is to obtain long NWs needed for effective printing. Here we discuss the growth of NWs suitable for printing via atomistic kinetic model. This is followed by contact printing of vertical grown NWs over flexible substrates to develop an array of flexible ZnO NWs FETs with uniform response.

关键词： Nanowires VLS method Growth Kinetics Contact printing Flexible FETs

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No-core fiber surface plasmon resonance dual-channel sensor for refractive index and temperature sensing with compact structure

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INFRARED PHYSICS & TECHNOLOGY 2023年第1期131卷

作者： Yin, Zhiyong Li, Kaifeng Jing, Xili Yanshan Univ State Key Lab Metastable Mat Sci & Technol Qinhuangdao 066004 Peoples R China Yanshan Univ Sch Sci Key Lab Microstruct Mat Phys Hebei Prov Qinhuangdao 066004 Peoples R China

To improve the integration of sensors and meet the trend of miniaturization of devices, we propose and demonstrate a compact dual-channel surface plasmon resonance (SPR) fiber sensor for detecting refractive index (RI) and temperature. In this sensor, we chose the simplest structure of optical fiber: no-core fiber (NCF), as the sensing probe. Then the silver film was deposited on the NCF surface using magnetron sputtering to excite the SPR effect. Two sensing channels were constructed on the NCF, one channel deposited with silver film for RI detection, and another channel deposited with PDMS and silver film for temperature detection. Such a con-struction makes the sensor compact and small. The performance of the proposed sensor is studied theoretically and experimentally. The experiment shows that the maximum sensitivity of the sensor is 3039 nm/RIU and 3.53 nm/degrees C when the RI ranges from 1.333 to 1.375 and the temperature ranges from 0 degrees C to 70 degrees C, respectively. The significant advantage of our proposed sensor is its simple, compact, and easy-to-prepare structure, which opens up a new direction for device miniaturization.

关键词： Dual-channel sensor Surface plasmon resonance Temperature sensing Refractive index sensing

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Ammonia & CO2Gas Detection of Poultry Farms and Compost Plants by Low-Cost Smart Sensing System 26

Ammonia & CO2Gas Detection of Poultry Farms and Compost Plan...

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26th International Conference on Computer and Information Technology, ICCIT 2023

作者： Rahman Alvi, Kazi Mushfiqur Mondal, Shuvra American International University-Bangladesh Dept. of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350359015

Poultry farming plays an essential role in the global food supply chain and is a major contributor to human protein needs. However, the use of intensive poultry production methods has been linked to the emission of a variety of pollutants into the atmosphere. These emissions can pose detrimental effects on air quality and public health and contribute to greenhouse gas concentrations. Compost plants play an essential role in the management of organic waste, converting organic matter into soil nutrients. The process of composting is associated with the emission of various pollutants into the atmosphere. In light of these considerations, a cost-effective CO2 and ammonia gas sensing device with IoT integration for poultry and compost plants has been proposed. The platform has been designed to be integrated and easy to monitor the gas level as well as temperature and humidity from cost-effective sensors and other components, making it suitable for developing countries such as Bangladesh. The proposed devices have the capability to automatically regulate the CO2 and Ammonia gas level when it reaches an alarming level. Moreover, the proposed system can be fully monitored and operated remotely in real-time from any location via a mobile application or the Internet. Furthermore, this modular and easily assessable device can be modified to facilitate in other industries such as dairy and processed food industries of developing countries. © 2023 IEEE.

关键词： CO2sensor Compost plant Gas Sensing IoT Device NH3sensor Poultry farms

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MOVIQ: AN END-TO-END APPROACH TO ENABLE HIGH-RESOLUTION HYPERSPECTRAL VISION INTELLIGENCE ON BOARD SATELLITES

MOVIQ: AN END-TO-END APPROACH TO ENABLE HIGH-RESOLUTION HYPE...

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2024 Small Satellites Systems and Services Symposium, 4S 2024

作者： Wouters, J. De Roose, J. Dekkers, G. Demeyer, P.-J. De Vos, L. Ivashkovych, X. Beusen, B. Luyts, A. Livens, S. Nuyts, D. Rajappa, A.J. Cassimon, T. Delauré, B. Geelen, B. Matthijs, P. Willems, R. Vanden Bussche, S. Cao, Y. Desoete, B. Van Achteren, T. Reiter, P. Tack, K. Ramos, J.P. Magics Technologies Cipalstraat 3 Geel2440 Belgium OIP Sensor Systems Westerring 21 Oudenaarde9700 Belgium Boeretang 200 Mol2400 Belgium imec Kapeldreef 75 Leuven3001 Belgium Redwire Space Hogenakkerhoekstraat 9 Kruibeke9150 Belgium

ISBN: (纸本)9781510688940

Recent advancements in technology have led to the development of smaller instruments, sensors, and electronics, enabling small satellite systems to collect vast amounts of data at a relatively low cost. This has sparked significant growth in the private Earth observation (EO) industry. Despite the deployment of satellite constellations with improved spectral, spatial, and temporal resolutions, there remains a bottleneck in data transmission and downlink capabilities, hindering efficient information extraction. Emerging technologies in artificial intelligence (AI), inter-satellite communication, and edge processing are promising to address these challenges, revolutionizing satellite missions and operations. The integration of intelligent payloads in various recent satellite demonstrators is marking progress towards autonomous satellite constellations. To meet the growing demand for autonomous and intelligent remote sensing, initiatives like the MOVIQ project are crucial. MOVIQ aims to enhance data processing efficiency and advance EO capabilities through agile satellite platforms, high-resolution optical payloads, fault-tolerant AI processors, advanced applications and streamlined integration and optimization frameworks. These efforts promise to deliver cost-effective, intelligent mission platforms capable of real-time situational awareness and application-specific insights to further drive innovation in the EO sector. © 2025 The Authors.

关键词： Small satellites

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PolyglotPiscis: A Multilingual Monitoring System for Enhanced Pisciculture 2

PolyglotPiscis: A Multilingual Monitoring System for Enhance...

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2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Perumal, B. Deny, J. Aravinth, T. Gowshigan, S. Nambi, E. Rajendra Prasath, V. Department of ECE Kalasalingam Academy of Research and Education Tamil Nadu Krishnankovil India

ISBN: (纸本)9798350340235

In this study, we introduce a cutting-edge approach to advancing sustainable piscicultures through the integration of a multilingual environmental monitoring system. The primary focus is on optimizing the management of critical environmental parameters in fish farming, utilizing sensors for Total Dissolved Solids (TDS), pH, temperature, turbidity, and dissolved oxygen. Central to this innovative system is the Raspberry Pi, which serves as a hub for real-time data collection and control. The collected data is processed and securely stored in a dedicated database, ensuring the availability of historical records for analysis. A mobile application complements this system, offering remote access to sensor data, and the mobile app is designed to support multiple languages, fostering widespread adoption and knowledge exchange on a global scale. Overall, this research emphasizes the potential of technology in pisciculture farming. Numerous challenges were faced by the farmers, with increasing fish mortality rates attributed to water quality issues being a prominent concern. The pivotal role of water quality in fish growth necessitates constant monitoring of various parameters such as pH, salt levels, and water cloudiness. The amalgamation of hazardous water with normal water exacerbates these challenges, demanding vigilant surveillance. Furthermore, the existing issue is compounded by inadequate data visualization tools, hindering effective monitoring. Addressing these critical concerns is paramount for optimizing fish health and yield in pisciculture operations. © 2023 IEEE.

关键词： Data Acquisition Environmental Parameters Fish Health Real-time Monitoring Remote Access sensor Network Sustainable Agriculture Water Quality

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超表面光学传感器设计与应用研究

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应用激光 2024年第11期44卷 149-157页

作者：吴鸯诸仲夏吴雪尘上海市激光技术研究所有限公司上海200233 上海激光医学设备工程技术研究中心上海200233

光学传感器在科研和社会生产生活中有广泛应用。传统光学传感器存在体积大、难集成等方面的不足,制约光学传感器向集成化和便携化的发展。尺寸小、易集成的微纳光学传感器可以有效解决传统光学传感器面临的问题,其中超表面光学传感器具... 详细信息

光学传感器在科研和社会生产生活中有广泛应用。传统光学传感器存在体积大、难集成等方面的不足,制约光学传感器向集成化和便携化的发展。尺寸小、易集成的微纳光学传感器可以有效解决传统光学传感器面临的问题,其中超表面光学传感器具有设计自由度高、检测灵敏、性能可靠、获取信息多样等优势,是实现传感器集成化和小型化的可行路径。超表面是一种有力的光场调控工具,通过对超表面单元结构的定向设计可实现超表面光学传感器的功能定制。在超表面结构的设计和优化过程中,人工智能算法和深度学习的应用能够显著提高超表面光学传感器设计的效率和准确度,降低设计所耗费的时间。得益于超表面光学传感器在设计、功能、便捷性上的优点,其在生物和医疗检测、光开关、光计算等领域有重要的应用价值和潜力。

关键词：超表面光学传感器算法和深度学习检测光计算

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Comparison of fiber interferometric sensor with a commercial interferometer for a Kibble balance velocity calibration

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MEASUREMENT SCIENCE AND TECHNOLOGY 2023年第12期34卷 125017-125017页

作者： Shmagun, Vitalii Vasilyan, Suren Rogge, Norbert Froehlich, Thomas Kissinger, Thomas Tech Univ Ilmenau Inst Proc Measurement & Sensor Technol Ehrenbergstr 29 D-98693 Ilmenau Germany

This article presents a fiber interferometric sensor (FIS) for measuring the velocity amplitude of an oscillatory vibrating object, with a focus on velocity mode measurement in applications using the Kibble balance principle. The sensor uses the range-resolved interferometry method to measure the displacement of the moving object and employs a multi-harmonic sine-fit algorithm to estimate the displacement amplitude and frequency, thereby determining the velocity amplitude. This article provides a comprehensive explanation of the experimental setup and the measurement techniques employed, as well as a detailed analysis of the uncertainty budget, with the performance validation of the FIS benchmarked against a commercial interferometer within a Kibble balance setup. The velocity amplitude of a coil of the Kibble balance, oscillating with an approx. amplitude of 20 mu m and a frequency of 0.25 Hz, was measured using the sensor and found to be 31.282 31 mu m s-1 with a relative deviation of -1.9 ppm compared to a commercial interferometer. The high performance of the FIS, especially with regard to non-linearity errors, and the small size of the measuring head enable universality of integration into a wide variety of measurement systems, also including the use as general-purpose vibration and displacement sensor.

关键词： interferometer fiber sensors Kibble balance range-resolved interferometry velocity measurement

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An Electrical and Ultrasonic Doppler System for Industrial Multiphase Flow Measurement

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2021年 70卷 1-13页

作者： Shi, Xuewei Tan, Chao Wu, Hao Dong, Feng Tianjin Univ Tianjin Key Lab Proc Measurement & Control Sch Elect & Informat Engn Tianjin 300072 Peoples R China Tianjin Univ Sch Civil Engn Tianjin 300072 Peoples R China

Accurate measurement of flow parameters of multiphase flow has great significance for safe, economic, and efficient operation of the industrial production process. To simultaneously measure the water holdup and velocity, a combined electrical and ultrasonic Doppler measurement system based on a compact peripheral component interconnect (CPU) bus is designed. The combined sensor consists of a six-ring conductance sensor, two pairs of capacitance plate sensors, and an ultrasonic Doppler sensor. The measurement system is cored with a field-programmable gate array (FPGA) and consists of a series of functional modules. Through flexible programming and interboard communication, the system can meet different measurement requirements. To meet industrial data transmission standards and increase system extensibility, the demodulated data are transmitted to a host computer through the CPCI bus for further data analysis. Dynamic experiments demonstrated that the multimodal system has stable and preferable performance in water holdup and velocity measurement under all flow patterns. The conductance and capacitance sensor could realize the water holdup measurement with the root-mean-square error (RMSE) of 3.02% and the overall superficial velocity estimation through cross correlation with the RMSE of 0.09 m/s. Resides, the pulse ultrasonic Doppler transducer could measure the overall superficial velocity through the area integration of the velocity profile with the RMSE of 0.08 m/s.

关键词： Capacitance sensor conductance sensor multiphase flow ultrasonic Doppler sensor velocity measurement water holdup measurement

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AI-IoT Low-Cost Pollution-Monitoring sensor Network to Assist Citizens with Respiratory Problems

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sensors 2023年第23期23卷 9585-9585页

作者： Felici-Castell, Santiago Segura-Garcia, Jaume Perez-Solano, Juan J. Fayos-Jordan, Rafael Soriano-Asensi, Antonio Alcaraz-Calero, Jose M. Univ Valencia Escola Tecn Super Engn Campus Burjassot Valencia 46100 Spain Univ West Scotland Sch Comp Engn & Phys Sci Storie St Paisley PA1 2HB Scotland

The proliferation and great variety of low-cost air quality (AQ) sensors, combined with their flexibility and energy efficiency, gives an opportunity to integrate them into Wireless sensor Networks (WSN). However, with these sensors, AQ monitoring poses a significant challenge, as the data collection and analysis process is complex and prone to errors. Although these sensors do not meet the performance requirements for reference regulatory-equivalent monitoring, they can provide informative measurements and more if we can adjust and add further processing to their raw measurements. Therefore, the integration of these sensors aims to facilitate real-time monitoring and achieve a higher spatial and temporal sampling density, particularly in urban areas, where there is a strong interest in providing AQ surveillance services since there is an increase in respiratory/allergic issues among the population. Leveraging a network of low-cost sensors, supported by 5G communications in combination with Artificial Intelligence (AI) techniques (using Convolutional and Deep Neural Networks (CNN and DNN)) to predict 24-h-ahead readings is the goal of this article in order to be able to provide early warnings to the populations of hazards areas. We have evaluated four different neural network architectures: Multi-Linear prediction (with a dense Multi-Linear Neural Network (NN)), Multi-Dense network prediction, Multi-Convolutional network prediction, and Multi-Long Short-Term Memory (LSTM) network prediction. To perform the training of the prediction of the readings, we have prepared a significant dataset that is analyzed and processed for training and testing, achieving an estimation error for most of the predicted parameters of around 7.2% on average, with the best option being the Multi-LSTM network in the forthcoming 24 h. It is worth mentioning that some pollutants achieved lower estimation errors, such as CO2 with 0.1%, PM10 with 2.4% (as well as PM2.5 and PM1.0), and NO2 with

关键词： air pollution neural networks low-cost sensors IoT WSN forecasting artificial intelligence LSTM

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Automated Generation of Clinical Reports Using Sensing Technologies with Deep Learning Techniques

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sensors 2024年第9期24卷 2751页

作者： Cabello-Collado, Celia Rodriguez-Juan, Javier Ortiz-Perez, David Garcia-Rodriguez, Jose Tomas, David Vizcaya-Moreno, Maria Flores Univ Alicante Dept Comp & Informat Technol Alicante 03080 Spain Univ Alicante Dept Comp Languages Alicante 03080 Spain Univ Alicante Fac Hlth Sci Unit Clin Nursing Res Alicante 03080 Spain

This study presents a pioneering approach that leverages advanced sensing technologies and data processing techniques to enhance the process of clinical documentation generation during medical consultations. By employing sophisticated sensors to capture and interpret various cues such as speech patterns, intonations, or pauses, the system aims to accurately perceive and understand patient-doctor interactions in real time. This sensing capability allows for the automation of transcription and summarization tasks, facilitating the creation of concise and informative clinical documents. Through the integration of automatic speech recognition sensors, spoken dialogue is seamlessly converted into text, enabling efficient data capture. Additionally, deep models such as Transformer models are utilized to extract and analyze crucial information from the dialogue, ensuring that the generated summaries encapsulate the essence of the consultations accurately. Despite encountering challenges during development, experimentation with these sensing technologies has yielded promising results. The system achieved a maximum ROUGE-1 metric score of 0.57, demonstrating its effectiveness in summarizing complex medical discussions. This sensor-based approach aims to alleviate the administrative burden on healthcare professionals by automating documentation tasks and safeguarding important patient information. Ultimately, by enhancing the efficiency and reliability of clinical documentation, this innovative method contributes to improving overall healthcare outcomes.

关键词： text summarization healthcare multimodal data audio sensors transformers

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