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检索条件"任意字段=International Conference on Sensor Technologies and Applications, SensorComm"

共 9418 条记录，以下是481-490 订阅

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An Effective Method for Distributing Workloads in Smart City using sensor Networks Enabled by Fog

An Effective Method for Distributing Workloads in Smart City...

引用

2024 IEEE international conference on Electronic Systems and Intelligent Computing, ICESIC 2024

作者： Nithiyanandam Velvizhi, R. Priyadharshini, S.P. Poongavanam, N. SRM Institute of Science and Technology Kattankulathur Campus Department of Computing Technologies Chengalpattu Kattankulathur India Sathyabama Institute of Science and Technology OMR Department of Computer Science and Engineering Chennai India St' Joseph College of Engineering OMR Department of Artificial Intelligence and Machine Learning Chennai India Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331522988

By linking sensor nodes to fog nodes in critical locations, the Distributing Workloads in Fog Enabled Smart City (DW-FESC) technique efficiently handles the problem of distribution of workloads in smart cities. To get over the processing limits of IoT devices, this setup makes sure that complicated tasks are sent off to neighbouring fog nodes. The plan uses a load balancer and an updated greedy algorithm to evenly distribute work, which speeds up execution and keeps loads from becoming too heavy. Additionally, it has a deadline-based task execution mechanism that makes sure the most important jobs are done on time. The simulation results show that DW-FESC keeps the variance from the mean execution times to a minimum while considerably improving task execution times in comparison to other methods. With the use of fog computing, DW-FESC improves the dependability, efficiency, and responsiveness of smart city applications, leading to greener city life. © 2024 IEEE.

关键词： Fog computing

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international conference on Innovative technologies in Intelligent Systems and Industrial applications, CITISIA 2022

International Conference on Innovative Technologies in Intel...

引用

international conference on Innovative technologies in Intelligent Systems and Industrial applications, CITISIA 2022

ISBN: (纸本)9783031290770

The proceedings contain 86 papers. The special focus in this conference is on international conference on Innovative technologies in Intelligent Systems and Industrial applications. The topics include: Analysing the Impact of Support Plans on Telehealth Services Users with Complex Needs;trend and Behaviour Changes in Young People Using the New Zealand Mental Health Services;securing Cloud Storage Data Using Audit-Based Blockchain Technology—A Review;Data Security in Hybrid Cloud Computing Using AES Encryption for Health Sector Organization;cyber Warfare: Challenges Posed in a Digitally Connected World: A Review;surveilling Systems Used to Detect Lingering Threats on Dark Web;early Attack Detection and Resolution in sensor Nodes to Improve IoT Security;exploring Cyber Security Challenges of Multi-cloud Environments in the Public Sector;Histogram of Oriented Gradients (HOG) and Haar Cascade with Convolutional Neural Network (CNN) Performance Comparison in the Application of Edge Home Security System;data Security Risk Mitigation in the Cloud Through Virtual Machine Monitoring;analysis of Knocking Potential Based on Vibration on a Gasoline Engine for Pertalite and Pertamax Turbo Using Signal Processing Methods;AI-Based Video Analysis for Driver Fatigue Detection: A Literature Review on Underlying Datasets, Labelling, and Alertness Level Classification;a Study of Information and Communications Technology Students e-Platform Choices as Technopreneur;occupational Safety and Health Training in Virtual Reality Considering Human Factors;block Chain Technology and Internet of Thing Model on Land Transportation to Reduce Traffic Jam in Big Cities;a Marketing Strategy for Architects Using a Virtual Tour Portfolio to Enhance Client Understanding.

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OPTICAL DUAL sensor FOR THE SIMULTANEOUS DETECTION OF OXYGEN AND NITRIC OXIDE BASED ON ELECTROSPUN FIBERS DOUBLE-LAYER

OPTICAL DUAL SENSOR FOR THE SIMULTANEOUS DETECTION OF OXYGEN...

引用

2023 IET international conference on Engineering technologies and applications, ICETA 2023

作者： Rispandi Chu, Cheng-Shane Department of Mechanical Engineering Ming Chi University of Technology New Taipei City Taiwan Research Center for Intelligent Medical Devices Ming Chi University of Technology New Taipei City Taiwan

ISBN: (纸本)9781839539848

This study introduces an innovative approach to achieving optical dual sensors capable of detecting oxygen and nitric oxide simultaneously. The key components employed in this system encompass platinum (II) meso-tetrakis (pentafluorophenyl) porphyrin (PtTFPP) and CsPbBr3 perovskite quantum dots incorporated within a cellulose acetate (CA) polymer matrix, the fabrication process centers around electrospinning. This method yields the desired double-layer electrospun fibers. The optical excitation for the fibers is facilitated by a 380 nm LED light source. The empirical outcomes of the optical dual sensor experimentation show that oxygen and nitric oxide fluorescence sensitivity are 7.6 and 4.2, respectively. Finally, The proposed optical dual sensor can simultaneously detect oxygen and nitric oxygen for practical applications. © The Institution of Engineering & Technology 2023.

关键词： Nitric oxide

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A PM2.5 Concentration Prediction in High-Cost and Low-Cost Wireless sensor Networks Using Neural Networks 16

A PM2.5 Concentration Prediction in High-Cost and Low-Cost W...

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16th international conference on Advanced technologies, Systems and Services in Telecommunications, TELSIKS 2023

作者： Markovic, Marko Z. Neskovic, Dorde A. Kasca, Lara A. Markovic, Goran B. Drajic, Dejan D. University of Belgrade The School of Electrical Engineering Belgrade11120 Serbia Vlatacom Institute Belgrade11070 Serbia University of Belgrade School of Electrical Engineering Belgrade11120 Serbia The Vlatacom Institute Belgrade11070 Serbia University of Belgrade School of Electrical Engineering Belgrade11200 Serbia University of Belgrade The Innovation Centre of School of Electrical Engineering Belgrade11120 Serbia

ISBN: (纸本)9798350347029

Due to its increasing impact on human health, air pollution is becoming a progressively important topic in modern society. Particulate matter with a diameter of 2.5 μm is cited as one of the main air pollutants. Thus, prediction of concentration of these particles presents a very important research topic. Therefore, in this paper, we observed a Deep Learning based spatial prediction of this concentration realized by using the installed high-cost sensors and/or low-cost sensors, which are simulated. Based on the obtained analysis results, a proposal was made to employ the low-cost sensors, completely or partially, with distributed Deep Learning Neural Networks, instead of the currently used high-cost sensors in the wireless sensor network for PM2.5 concentration measuring. It is shown that in this way we can lower complexity, datasets and time for training without the loss (or even with the gain) in the prediction quality. © 2023 IEEE.

关键词： Wireless sensor networks

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The Research on Controlling Virtual Reality by EEG sensor 20

The Research on Controlling Virtual Reality by EEG Sensor

引用

20th IEEE international conference on Emerging eLearning technologies and applications, ICETA 2022

作者： Suchalova, Silvia Benco, Miroslav Hudec, Robert University of Zilina Faculty of Electrical Engineering and Information Technology Department of Multimedia and Information-communication Technologies Slovakia

ISBN: (数字)9798350320336

ISBN: (纸本)9798350320336

In this paper, the research on the EEG sensor, which provides data sensing the human visual cortex is presented. We focused on various influences such as materials of objects, size of objects, etc. mainly from a time point of view. Thus, the reaction time of a person to process the visual object when he is focused on it. For these experiments, a virtual environment with a measurement system was created. It has several simple applications for controlling virtual reality objects by thought. For the experiments, the combination of Oculus Quest 2 and NextMind was used. © 2022 IEEE.

关键词： Virtual reality

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Simulation Studies on Force sensor Using PDMS Coated Fiber Bragg Grating for Robot-Assisted Surgery 4th

Simulation Studies on Force Sensor Using PDMS Coated Fiber B...

引用

4th international conference on Optical and Wireless technologies (OWT)

作者： Lakshmanan, Dinesh Kanakambaran, Srijith Indian Inst Informat Technol Dept Elect & Commun Engn Design & Mfg Kancheepuram Chennai 600127 Tamil Nadu India

ISBN: (纸本)9789811628184;9789811628177

We investigate the performance of a cantilever-type force sensor based on PDMS-coated fiber Bragg gratings for robot-assisted surgical applications. The cross section area of PDMS matrix and the location of the FBG sensor inside it are optimized through simulations. The sensitivity of the proposed sensor is obtained to be around 0.5 mN.

关键词： Force sensor Fiber Bragg grating PDMS

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Real-Time Air Pollution Monitoring System Employing IoT 2

Real-Time Air Pollution Monitoring System Employing IoT

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2nd international conference on Intelligent Data Communication technologies and Internet of Things, IDCIoT 2024

作者： Ghose, Banani Rehena, Zeenat Haldia Institute of Technology Dept. of Information Technology Haldia India Aliah University Dept. of Computer Science & Engg. Kolkata India

ISBN: (纸本)9798350327533

Modern livelihood is endangered by many challenges. Such a challenge is air pollution. To exterminate the lives of the residents from the ill effects of air pollution one has to gather the knowledge of air health of a place he/she is planning to go in. A timely response from a real-time air pollution monitoring system may be convenient in this regard. In this paper, an loT -enabled air pollution monitoring system is proposed, which is competent in collecting real-time data itself, and after data collection, it is proficient in analyzing and delivering the assessment of the enquired place's air quality with some suggestive measures to the users who place a query regarding that. Several air pollution-related sensors are deployed in this regard to capture the real-time pollutant concentrations and meteorological parameters, and the air health assessment work is accomplished using an efficient data fusion technique, which delivers the air health status of a place with the help of the current data only without using historical data. Finally, the air health status is communicated to the users via some web applications. The system is sound and smart enough to analyze the air health of a place with utmost accuracy and promptness. © 2024 IEEE.

关键词： Air pollution monitoring system Deep learning Multi-sensor data fusion Real-time

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Communication Scene Recognition Method Based on Multi Phone sensors and Deep Learning

Communication Scene Recognition Method Based on Multi Phone ...

引用

international conference on Future Communications and Networks (FCN)

作者： Feng, Yufei Zhong, Xiaofeng Zhou, Shidong Chen, Xinwei Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)9798350396041;9798350396034

Wireless channel quality is determined by the user's environment scene, such as indoor, corridor, elevator, subway station, walking outside, driving car and high-speed railway. Besides channel measurement at PHY layer, it is very important to recognize the communication scene for mobile user, to match the source coding scheme or transmitting resource allocation to dynamic channel characters. In this paper, we present a communication scene recognition framework based on deep learning methods, utilizing decision-level fusion of data from multiple Android phone sensors. Our approach utilizes the ResNet-34 model to process data from four sensor types: acceleration sensors, magnetic field intensity sensors, orientation sensors, and gyroscope sensors, resulting in high precision. The algorithm achieves an 8-scene recognition accuracy of 91.68% and operates at a recognition speed of 9.4 ms per recognition on a server platform equipped with a single RTX 3090 Ti graphics card.

关键词： Communication scene recognition Deep learning SHL Multi mobile phone sensor Smartphone-based applications

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Microfluidic refractive index sensor based on concave reflection grating 4

Microfluidic refractive index sensor based on concave reflec...

引用

4th Optics Frontier conference, OFS 2024

作者： Xu, Yingying Wu, Shaolong Wang, Meng Zhu, Weijian Cao, Kun Liang, Yu Qin, Linling School of Optoelectronic Science and Engineering Soochow University Suzhou215006 China Institute of Inspection and Testing for Industrial Products Jiangxi General Institute of Testing and Certification Nanchang330052 China Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province Soochow University Suzhou215006 China

ISBN: (纸本)9781510682269

In this work, we introduce a novel microfluidic refractive index (RI) sensor based on concave reflection grating. COMSOL Multiphysics is employed to perform simulation calculations. We analyzed the reflection spectra with different grating structural parameters and incidence angles, to evaluate its sensing performance. Additionally, sensitivity, full-width half maximum (FWHM) and figure of merit (FOM) were considered as performance parameters to evaluate the proposed optical sensor. The results demonstrate that the microfluidic channels increase the spatial overlap between the strong electric field and the analyte, ensuring the high sensitivity for refractive index sensing;the groove structure of the periodic concave reflection gratings enhances the grating's ability to confine the optical field, improving the FOM of the sensing. With the optimum structural parameters, the sensor demonstrates a high sensitivity of 1015 nm/RIU and a high FOM of 780.88. The sensor shows the advantages of high FOM while maintaining a high sensitivity, promising excellent prospects for practical applications. © 2024 SPIE.

关键词： Surface plasmon resonance

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Energy Efficient Data Collection Using Predefined Path Constrained Mobility for Mobile Sinks in Wireless sensor Networks 33

Energy Efficient Data Collection Using Predefined Path Const...

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33rd international Telecommunication Networks and applications conference, ITNAC 2023

作者： Suleiman, Mohammed F. Adeel, Usman School of Computing Engineering & Digital Technologies Teesside University MiddlesbroughTS1 3BX United Kingdom

ISBN: (纸本)9798350317138

Recently, the utilization of mobile sinks (MSs) has gained significant attention in wireless sensor networks (WSNs) research due to its potential for improving network lifetime compared to traditional static sinks. However, mobility in WSNs still presents challenges such as node failures in random mobility techniques and high computational and processing resources required in predicted mobility approaches, which can impact long-term stability and network lifetime. In this study, we propose a Predefined Path Constrained Mobility (PPCM) routing protocol utilizing multiple sinks stationed at different areas of the network. These sinks move in a fixed pattern to collect data from sensor nodes. Through evaluation, we demonstrate that the PPCM protocol outperforms existing routing protocols such as Random Multiple Mobile Sink (RMMS) and Multiple Random Mobile Sink Confined (MRMS-C) protocols in terms of overall network lifetime. The proposed protocol offers a potential solution to address routing challenges in WSNs with the use of mobile sinks. © 2023 IEEE.

关键词： Energy efficiency

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