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

共 9412 条记录，以下是331-340 订阅

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QoS Based Efficient Link and Consistent Routing in Wireless sensor Network

QoS Based Efficient Link and Consistent Routing in Wireless ...

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2023 IEEE international conference on Intelligent and Innovative technologies in Computing, Electrical and Electronics, ICIITCEE 2023

作者： Sivakumar, S. Anusuya, R. Nagaraju, V. Narendruni, Lakshmi Priya Thamizhamuthu, R. Department of Computer Science Tamil Nadu Perambalur India Modern Institute of Technology and Research Centre Department of Computer Science Engineering Rajasthan Alwar India Department of Computer Science Engineering Tamil Nadu Chennai India Nalla Malla Reddy Engineering College Department of Computer Science Engineering Telangana Hyderabad India SRM Institute of Science and Technology Department of Computing Technologies Tamil Nadu Chennai India

ISBN: (纸本)9781665462631

Wireless sensor networks, also known as WSN s, are an essential component for a wide variety of applications, particularly those in which a sizeable number of nodes are scattered all over the region being watched. Evaluation of the accuracy and quality of each connection is necessary for WSN s. When the mapping models between the physical layer and link quality characteristics are used, it is possible to forecast the outcomes, which comes with the advantages of greater vigilance and lower overhead. Traditional link quality estimator parameters, on the other hand, are unable to capitalize on connection quality information and instead deliver inconsistent routing. Simultaneously, the shortest data packet routing action is considered the most energy utilization, and it creates inconsistent routing. QoS-based Efficient Link and Consistent Routing (QLCR) in WSN are proposed to solve these issues. Here, the node Received Signal Strength Indication, Consistency Achievement, Forecasted Consistency, Communication Rate, and Left-over Energy parameters are used to measure the prediction of the link QoS factor. The forward nodes are chosen from the nodes with the greatest QF score. A thorough evaluation of the link's quality may guarantee that data will be sent, improve network performance, and extend the lifespan of the network. The Wireless sensor Network, often known as WSN, is an important component for a variety of applications in which a sizeable number of nodes are spread out throughout the region being monitored. © 2023 IEEE.

关键词： sensor nodes

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Image-Based Detection System of Guided-Mode Resonance sensor Using 3D Printed Components

Image-Based Detection System of Guided-Mode Resonance Sensor...

引用

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

作者： Chen, Yu-Hsiang Kuo, Wen-Kai Department of Electro-optics Engineering National Formosa University Huwei Taiwan

ISBN: (纸本)9781839539848

We report an image-based detection system of a guided-mode resonance (GMR) sensor using 3D-printed component. A cylindrical lens is used to includes a range of incident angles of the laser launched into the GMR sensor. The image sensor can detect the reflected light corresponding to the resonance angle having the highest intensity. The shift of the highest-intensity position can be used to determine the liquid refractive index on the GMR sensor surface. The measurement result shows that the detection limit can achieve 1.4u10E-4 RIU under the TM polarized incident laser light. © The Institution of Engineering & Technology 2023.

关键词： Refractive index

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Regional Link Routing Algorithm for Wireless sensor Networks based on Improved Grey Wolf Optimization Algorithm 5

Regional Link Routing Algorithm for Wireless Sensor Networks...

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2023 5th international conference on Artificial Intelligence technologies and applications, ICAITA 2023

作者： Ding, Jiaqian Jia, Xinyong Chen, Jiaqi Changchun University of Science and Technology Changchun China

In order to improve the survival time, connectivity and the active number of nodes in the wireless sensor network, this paper proposes a regional chain wireless sensor network routing algorithm (RWA) based on improved grey Wolf optimization algorithm. The algorithm uses the method of dividing regions into chains, and in each region, chains are formed to select cluster heads before communication. The simulation results show that RWA has an improvement in avoiding too long chain, balancing energy consumption and prolonging the network life cycle. © Published under licence by IOP Publishing Ltd.

关键词： Routing algorithms

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Advanced 6D sensor Development to Support Utilization of Cobot in High-Accuracy Inspection 19

Advanced 6D Sensor Development to Support Utilization of Cob...

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19th IEEE international conference on Automation Science and Engineering, CASE 2023

作者： Qiao, Guixiu The National Institute of Standards and Technology GaithersburgMD20899 United States

ISBN: (纸本)9798350320695

Collaborative robots, also called Cobots, with the advantages of being safer and more cost-effective, are playing an important role in Industry 4.0. Being more flexible, cobots have been deployed in a wide variety of domains, for example, machine tending, material handling, packaging, assembly, drilling, riveting, welding, inspection, and three-dimensional (3D) printing. However, cobots have their challenges in accuracy and rigidity compared with traditional industrial robots. These challenges have become obstacles when implementing cobots in high-accuracy applications. Thus, developing technologies to support cobots to overcome the accuracy challenges is critical to the success of utilizing cobots in these applications. This paper presents an advanced sensor development project at the National Institute of Standards and Technology (NIST) to support using a Universal Robot (UR) in high-accuracy inspection via accuracy enhancement. The smart target is designed as a motorized target working with a vision-based system to acquire six-dimensional (6D) information (x, y, z, roll, pitch, and yaw) of a robot. Methodologies were developed to support the cobot's accuracy enhancement. A use case was built at the NIST's prognostics and health management lab using real-time sensor feedback and closed-loop control to improve the robot's performance. © 2023 IEEE.

关键词： Inspection

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Outlier Detection in Wireless sensor Networks Based on Machine Learning: Review 16

Outlier Detection in Wireless Sensor Networks Based on Machi...

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16th IEEE international conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Baykal, Burak Saoud, Bilal Shayea, Ibraheem Leila, Rzayeva Faculty of Electrical and Electronics Engineering Dept. Electronics & Communications Engineering Istanbul34469 Turkey University of Bouira Faculty of Sciences and Applied Sciences Lisea Laboratory Dept. Electrical Engineering Bouira10000 Algeria Astana It University Dept. Intelligent Systems and Cybersecurity Astana Kazakhstan

ISBN: (纸本)9798331505264

Due to their deployment in harsh situations with hundreds to thousands of nodes, wireless sensor networks, or WSNs, have proven vital in a variety of applications, from military monitoring to healthcare. But these networks have a lot of security issues, such outlier identification, which makes it difficult to find nodes that behave abnormally. With an emphasis on the benefits of Bayesian Networks in precisely identifying outlier nodes and calculating missing data values, this study explores machine learning-based outlier identification techniques. Furthermore, a viable answer in face of security issues is the proposal of the Bayesian classification method for assessing the conditional reliance of nodes in WSNs. This survey article also examines several machine learning algorithms used for outlier detection in WSN data, highlighting requirement for accurate anomaly identification without sacrificing data quality in the face of issues like energy efficiency and data integrity. The goal of the study is to give an overview of methods that provide better performance while using less network resources, with a focus on offline and online detection modes. Using expertise obtained from the development of Internet of Things (IoT) systems, this paper underlines significance of anomaly detection in WSNs for industries such as industry, healthcare, and agriculture. It explores MLA-based methods, showing how well they work to precisely detect abnormalities and improve data integrity in Internet of Things applications. © 2024 IEEE.

关键词： sensor nodes

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Methods of Frequency Estimation Applied in Internet of Things technologies

Methods of Frequency Estimation Applied in Internet of Thing...

引用

2024 international conference on Industrial Engineering, applications and Manufacturing, ICIEAM 2024

作者： Kolosova, Zoya A. Abdullin, Vildan V. Shnayder, Dmitry A. South Ural State University Dept. Of Autimatics And Control Chelyabinsk Russia South Ural State University The Industrial Automation Systems And IoT Laboratory Chelyabinsk Russia

ISBN: (纸本)9798350395013

In the rapidly evolving realm of technology, the Industrial Internet of Things (IIoT) has gained prominence, including vibrodiagnostics and industrial equipment health monitoring. Integrating wireless networks within IIoT introduces challenges, notably in a balance between the desired amount of data transmitted and the technical limitations dictated by the issue of autonomy of IIoT devices. When implementing vibration signal-based equipment monitoring, a critical decision arises: transmitting the entire signal for cloud computation or conducting local computations on the sensor for selective data transmission. This paper explores three frequency estimation methods - parabolic interpolation, demodulation, and the harmonic series - in the context of IIoT technologies. Demonstrating their efficacy on synthetic signals, we highlight their suitability for vibrodiagnostics, considering the computational constraints of decentralized IIoT systems. Parabolic interpolation offers efficiency, demodulation excels in real-time processing, and the harmonic series method proves robust in scenarios with limited resolution. The comparative analysis showcases their strengths and limitations, emphasizing the importance of informed decision-making in choosing a frequency estimation method tailored to the specific constraints of the evolving IIoT environment. This study empowers practitioners to enhance the reliability and performance of IIoT-enabled devices and systems through efficient frequency estimation methods. © 2024 IEEE.

关键词： Frequency estimation

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IoT and BSN applications for Real Time Monitoring and Disease Prediction

IoT and BSN Applications for Real Time Monitoring and Diseas...

引用

2024 OPJU international Technology conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Meena, Jaishree Shukla, Vivek Jain, Amit Gupta, Vishan Kumar Jain, Paras Amity University Punjab Amity School of Biological Science Mohali India Amity University Punjab Amity Law School Mohali India Op Jindal University Department of Cse Raigarh India Amity University Punjab Amity School of Engineering and Technology Mohali India Vit Bhopal University School of Computing Science and Engineering Madhya Pradesh Sehore India

ISBN: (纸本)9798350373783

IoT applications have been applied to health areas, so in the most advanced healthcare application environment, using them makes medical professionals and patients' lives easier. BSN (Body sensor Network) technology is essential to the Internet of Things (IoT) in the healthcare system because it allows for the use of low-power, lightweight wireless sensor nodes to monitor patients. Healthcare systems utilizing BSN and IoT technologies are the subject of this paper. There are several sensors in this system, including blood pressure, temperature, and pulse rate sensors. The controller receives the data from these sensors after they have detected the parameters. When the temperature rises above the specified range, the buzzer will sound, per the conditions. For display on the LCD, it transports the sensed data. Doctors receive data via the internet at the same time, enabling them to provide prompt, appropriate solutions in real time. Many patients endure suffering because of not receiving prompt, appropriate assistance and solutions to their problems. Thus, the suggested system aids in an emergency and a real-time solution. Because this system is portable, it can be carried around by an individual. As a result, ongoing health monitoring is feasible. Moreover, the system uses a variety of supervised learning algorithms to forecast the illness for a specific patient based on their current reading. © 2024 IEEE.

关键词： Body sensor networks

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Stabilizing a SiGe BiCMOS Transmitter on a Molecular Absorption Line 48

Stabilizing a SiGe BiCMOS Transmitter on a Molecular Absorpt...

引用

48th international conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

作者： Gluck, Alexandra Rothbart, Nick Hubers, Heinz-Wilhelm German Aerosp Ctr DLR Inst Opt Sensor Syst D-12489 Berlin Germany Humboldt Univ Dept Phys D-12489 Berlin Germany

ISBN: (纸本)9798350336603

In many applications, highly stable frequency references are desired which at the same time take up little volume and consume little power. Transmitters and receivers in SiGe BiCMOS technology can be realized on chip-scale, working at in the THz/Millimeter-wave range where many molecules have strong rotational transitions. We stabilized a SiGe BiCMOS transmitter on a rotational transition of carbon monoxide, reaching stabilities of <10(-10) at 100 s integration.

关键词： Si-Ge alloys

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Invisible Presence Control System Through IoT Devices Network 16th

Invisible Presence Control System Through IoT Devices Networ...

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16th international conference on Ubiquitous Computing and Ambient Intelligence

作者： Mora, Higinio Ramirez, Tamai Pujol, Francisco Llamas, Alejandro Sirvent Univ Alicante Dept Comp Sci & Technol Alicante Spain

ISBN: (纸本)9783031775703;9783031775710

This proposal consists of a system and a method of presence control without the need for any action on the part of the user. The system is able of detecting and registering users in an area. This action is performed transparently to the users so that the system does not require interaction by the users or any other operator to be detected. This system is ideal for time-stamping in an organization. This system has significant advantages over current systems, because the presence control does not require the intervention or the performance of specific actions of the agents involved to carry out the process of presence detection and registration. The system can be applied in work environments of any type and size, regardless of the number of workers to be registered and supervised. It provides up-to-date information on the real-time registration of the organization's workers. It is compatible with existing systems and can be deployed to complement or replace them.

关键词： presence control IoE application and services IoE enabling technologies applications of hybrid sensor networks

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Additive manufacturing and characterization of hollow core metal and topas waveguides for Terahertz sensor systems 48

Additive manufacturing and characterization of hollow core m...

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48th international conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

作者： Shrotril, Abhijeet Mukherjee, Amlan Kusum Lohoefener, Sven Springer, Andre Stuebbe, Oliver Preu, Sascha Tech Hsch Ostwestfalen Lippe Inst Energieforschung Campusallee 12 D-32657 Lemgo Germany Tech Univ Darmstadt Merckstr 25 D-64283 Darmstadt Germany Tech Hsch Ostwestfalen Lippe Campusallee 12 Lemgo Germany

ISBN: (纸本)9798350336603

Additive manufacturing provides a lucrative alternative for manufacturing of functional prototypes. This paper demonstrates the manufacturing and characterization of hollow core waveguide prototypes with circular cross section using suitable metal and polymers for Terahertz sensing applications. These additively manufactured waveguide prototypes are characterized from 0.1 to 1.25 THz to evaluate the attenuation and coupling losses.

关键词： 3D printing

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