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

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Investigation of Highly Sensitive and Linearly Responsive SAW Based Gas sensor for Better N2 Detection 4th

Investigation of Highly Sensitive and Linearly Responsive SA...

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4th EAI International conference on Cognitive Computing and Cyber Physical systems, IC4S 2023

作者： Harathi, Nimmala Pasuluri, Binduswetha Sarkar, Argha Maurya, Naveen Kumar Department of Electronics and Instrumentation Engineering Sree Vidyanikethan Engineering College Andhra Pradesh Tirupati517102 India Department of Electronics and Communication Engineering Vardhaman College of Engineering Telengana Shamshabad501218 India School of Computer Science and Engineering REVA University Karnataka Bangalore560064 India Department of Electronics and Communication Engineering Vishnu Institute of Technology Andhra Pradesh Bhimavaram534202 India

ISBN: (纸本)9783031488900

Surface acoustic wave sensors are becoming more and more essential in research. The research has advanced in such a way that SAW sensors are now used in many different fields. The application areas of SAW sensor include gas sensing, biosensor, measurement of many physical parameters like humidity, pressure, temperature and torque. In this study, the SAW sensor is presented as a nitrogen gas sensor. Nanomaterials are introduced to a conventional SAW sensor to strengthen the sensor's performance. The most frequently used nano - materials for applications in gas detection is ZnO. Comsol Multiphysics is used to design a 2D SAW-based gas sensor using ZnO as the sensing material. Finite element analysis (FEA) is used in sensor characterization. Testing is done to determine whether nitrogen gas is present or not in the sensor. The sensor's sensitivity varies depending on whether there is gas present or not while operating at the same frequency. The sensor's frequency range is 3 MHz. Nitrogen gas is present in concentrations varying from 10 ppm to hundreds of ppm. With a rise in concentration, the sensor showed excellent linearity. © 2024, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Zinc oxide

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2 μm self-sweeping fiber laser oscillator for LIDAR applications 12

2 μm self-sweeping fiber laser oscillator for LIDAR applica...

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conference on advanced sensor systems and applications XII

作者： Budarnykh, A. E. Lobach, I. A. Kablukov, S., I Inst Automat & Electrometry SB RAS 1 Ac Koptyuga Ave Novosibirsk 630090 Russia Novosibirsk State Univ 1 Pirogova Str Novosibirsk 630090 Russia

ISBN: (纸本)9781510657090;9781510657083

We report on a Tm-doped self-sweeping fiber laser operating at 2 mu m spectral range with a stabilized pulse repetition rate. Lasers with self-induced wavelength sweeping are bright alternative to narrow-band tunable laser sources. One disadvantage of self-sweeping lasers is fluctuations in the pulse repetition rate. In this paper for the purpose of optimization of intensity dynamics, the technique for pulse train shaping with acousto-optical modulator synchronized with laser pulses is proposed and demonstrated. Synchronization of the AOM frequency with the laser pulses allowed us to improve pulse train stability and reduce relative stability error down to 1%. The developed self-sweeping laser brings up new possibilities for remote gas analysis and LIDAR applications.

关键词： lidar self-sweeping stabilization pulse repetition rate remote measurements

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RGB Illuminant Compensation Using Spectral Super-resolution and Weighted Spectral Color Correction 31

RGB Illuminant Compensation Using Spectral Super-resolution ...

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31st Color and Imaging conference - Color Science and Engineering systems, Technologies, and applications, CIC 2023

作者： Buzzelli, Marco Tchobanou, Mikhail K. Schettini, Raimondo Bianco, Simone Department of Informatics Systems and Communication University of Milano - Bicocca Milan20126 Italy Moscow Research Center Huawei Technologies Co. Ltd. Russia

ISBN: (纸本)9780892083640

This paper presents a novel approach for spectral illuminant correction in smartphone imaging systems, aiming to improve color accuracy and enhance image quality. The methods introduced include Spectral Super Resolution and Weighted Spectral Color Correction (W-SCC). These techniques leverage the spectral information of both the image and the illuminant to perform effective color correction. Experimental evaluations were conducted using a dataset of 100 synthetic images, whose acquisition is simulated using the transmittance information of a Huawei P50 smartphone camera sensor and an Ambient light Multispectral sensor (AMS). The results demonstrate the superiority of the proposed methods compared to traditional trichromatic pipelines, achieving significant reductions in colorimetric errors measured in terms of ∆E94 units. The W-SCC technique, in particular, incorporates per-wavelength weight optimization, further enhancing the accuracy of spectral illuminant correction. The presented approaches have valuable applications in various fields, including color analysis, computer vision, and image processing. Future research directions may involve exploring additional optimization techniques and incorporating advanced machine learning algorithms to further advance spectral illuminant correction in smartphone imaging systems. © 2023 Society for Imaging Science and Technology.

关键词： Smartphones

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

International Conference on Advanced Intelligent Systems for...

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

ISBN: (纸本)9783031263835

The proceedings contain 250 papers. The special focus in this conference is on advanced Intelligent systems for Sustainable Development. The topics include: Artificial Intelligence for Stroke Prediction;the Role of Uncertainty Avoidance, Trust, and Land Tenure in Predicting the Adoption of Green IoT Irrigation systems in Morocco: An Improved Model;the Complete Mitochondrial Genome of Agapornis roseicollis;cross-Talk Between Intramolecular and Intermolecular Amino Acid Networks Orchestrates the Assembly of the Cholera Toxin B Pentamer via the Residue His94;identification of Responsibilities for the Use of Devices Incorporating Artificial Intelligence in Health: Systemic Review;artificial Intelligence Recognition of Human Body Actions for Bionic applications (New Combination of Indicator Parameters);parkinson’s Disease Recognition from Speech Signal Using Discrete Wavelet Transform, Delta, Delta-Delta, and K-Nearest Neighbor;triple Negative Breast Cancer and Non-Triple Negative Breast Cancer Recurrence Prediction Using Boosting Models;classifiers-Based Personality Disorders Detection;A Word-Based Moroccan Sign Language Dataset for Emergency Situations: Use Case COVID-19;The Use of ISFET for the Measurement of Phosphorus in Moroccan Soils;Exploring the Performance of Traditional Word Embeddings and Contextual Embedding Models for COVID-19 Sentiment Analysis;mycoflora of Dormant Crocus Sativus Corms in Morocco;Optimized DL-Based Model for Hypertrophic Cardiomyopathy CMR Images;low-Cost Water Conductivity sensor Based on a Parallel Plate Capacitor for Precision Agriculture;literature Review of Deep Learning for Tuberculosis Based on Chest Imaging;inventory of Corticolous Lichens and Argan Wood Fungi;detection of Alpha-Cypermethrin in Food Using a sensor Array Coupled to Machine Learning Algorithms: The Case of the Wild Edible Swiss Chard;artificial Intelligence at the Service of Precision Medicine;foreword.

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

International Conference on Advanced Intelligent Systems for...

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

ISBN: (纸本)9783031352508

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Plasmon-based SMSMS optical fiber sensor structure for creatinine detection in aquaculture industry 12

Plasmon-based SMSMS optical fiber sensor structure for creat...

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conference on advanced sensor systems and applications XII

作者： Liu, Xuecheng Li, Muyang Singh, Ragini Zhang, Bingyuan Kumar, Santosh Liaocheng Univ Sch Phys Sci & Informat Technol Shandong Key Lab Opt Commun Sci & Technol Liaocheng 252059 Shandong Peoples R China Liaocheng Univ Coll Agron Liaocheng 252059 Shandong Peoples R China

ISBN: (纸本)9781510657090;9781510657083

In this study, a plasmon sensor based on a core mismatch optical fiber structure is proposed for measuring various creatinine concentrations. Creatinine is an important clinical biomarker for diabetes, kidney disease, renal failure, and muscle atrophy. The single-mode fiber (SMF) and multi-mode fiber (MMF) are used to fabricate the SMF-MMF-SMF-MMF-SMF (SMSMS) structure. Further, SMSMS fiber structure is etched with hydrofluoric (HF) acid, that results in more evanescent fields at the core-cladding interface. Gold nanoparticles (AuNPs) are immobilized on the surface of the optical fiber structure to activate the LSPR phenomenon. To validate the sensor's performance, the sensor's sensitivity, reusability, reproducibility, and selectivity are tested. The experimental results demonstrate that the fiber-optic sensor based on the SMSMS structure is capable of measuring creatinine concentrations over a wide range in aquaculture industry. This provides an excellent opportunity for the sensor to be used in biomedicine.

关键词： Aquaculture industry creatinine gold nanoparticles optical fiber biosensor SMSMS structure

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

International Conference on Advanced Intelligent Systems for...

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

ISBN: (纸本)9783031352478

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

International Conference on Advanced Intelligent Systems for...

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2022

ISBN: (纸本)9783031352447

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Improving Coastal and Port Management in Smart Cities with UAVs and Deep Learning 1

Improving Coastal and Port Management in Smart Cities with U...

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1st Mediterranean Smart Cities conference, MSCC 2024

作者： Bakirci, Murat Bayraktar, Irem Unmanned/Intelligent Systems Lab Faculty of Aeronautics and Astronautics Tarsus University Mersin Turkey

ISBN: (纸本)9798350374001

Efficient coast and harbor management is integral to the vitality, sustainability, and resilience of smart cities. With bustling harbors serving as vital hubs of commerce, trade, and tourism, optimizing port operations is paramount for economic growth and prosperity. Smart technologies play a pivotal role in this optimization, leveraging advanced sensor networks, real-time monitoring systems, and predictive analytics to enhance safety, mitigate environmental risks, and improve overall efficiency. Additionally, smart coastal management strategies focus on preserving ecosystems, mitigating climate change impacts, and safeguarding against natural disasters. Aerial imagery, facilitated by Unmanned Aerial Vehicles (UAVs) equipped with high-resolution cameras and sensors, provides comprehensive insights into coastal dynamics, harbor operations, and environmental conditions. These images enable efficient monitoring of coastal areas, ports, and harbors, capturing crucial information for informed decision-making in coastal management and port operations. Object detection, particularly in ship detection, stands as a transformative technology for enhancing coastal and harbor management within smart cities. Leveraging advanced algorithms and high-resolution aerial imagery, ship detection systems offer real-time monitoring crucial for optimizing maritime operations and ensuring port security. Object detection algorithms, particularly Faster R-CNN, have shown promise in accurately detecting ships in aerial imagery, offering valuable insights for harbor planning and infrastructure development. This study focuses on utilizing the Faster R-CNN detection algorithm for ship detection in coastal and harbor environments, highlighting its potential to bolster security applications and contribute to the resilience of smart city infrastructure. Through rigorous evaluation and optimization, this research aims to enhance the effectiveness of ship detection systems in safeguarding coastal and

关键词： Predictive analytics

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SMO Based sensorless Direct Torque Sliding Mode Control of IM for EV applications 3

SMO Based Sensorless Direct Torque Sliding Mode Control of I...

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3rd International conference on advanced Electrical Engineering, ICAEE 2024

作者： Ghezouani, Abdelkader Bousmaha, Imen Souhila Ghouili, Jemal University of Bechar Electrical Engineering Department B.P 417 Bechar08000 Algeria Ecole Supérieure en Sciences Appliquées de Tlemcen ESSAT- Tlemcen BP 165 RP Bel Horizon Tlemcen13000 Algeria Djillali Liabes University of Sidi-Bel-Abbes Intelligent Control and Electrical Power Systems Laboratory Algeria University of Moncton Electrical Engineering Department 18 Avenue Antonine-Maillet Moncton Canada

ISBN: (纸本)9798350349351

This paper presents a study and analysis of a direct torque control strategy associated with a sliding mode control (DTC-SMC) without a speed sensor to control the four induction motors used for the propulsion of a four-wheel drive electric vehicle 4WDEV. The estimation of the rotor speed of each motor is obtained by a sliding mode observer SMO. The main objective of this control method is to increase the robustness and reduce torque and stator flux oscillations. The model is made using the Matlab / Simulink environment. The simulation results obtained show the effectiveness of the control strategy in terms of driving cycle trajectory tracking and disturbance rejection. © 2024 IEEE.

关键词： Disturbance rejection

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