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

共 9441 条记录，以下是731-740 订阅

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Anomaly Detection for sensor Manipulation in Matter Enabled-IoT Devices with Faulty Data Injection

Anomaly Detection for Sensor Manipulation in Matter Enabled-...

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Pervasive Computational technologies (ICPCT), international conference on

作者： Jahnvi Patel Kapil Sharma Department of Information Technology Delhi Technological University Delhi India

ISBN: (数字)9798331508685

ISBN: (纸本)9798331519476

The security of Internet of Things (IoT) devices in Matter-enabled networks is crucial, as attacks such as sensor spoofing and data injection can lead to significant disruptions. sensor manipulation attacks where the attackers manipulate the sensor inputs to create erroneous behavior in devices are issues of serious concern for anomaly detections. Faulty sensor data can cause devices to operate in unsafe or inefficient conditions across various applications, compromising system reliability and performance. The Isolation Forest algorithm is employed to isolate faulty data injections as outliers in sensor readings, offering a robust method for anomaly detection. The approach, therefore, focuses on the possibility of enhancing detection with greater reliability in IoT networks. The lightweight and extensible approach also assembles a process of strengthening Matter-based networks against vulnerabilities emanating from wrong control feedback.

关键词： Performance evaluation Protocols Process control Forestry Internet of Things Security Reliability Anomaly detection Interoperability

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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...

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IET international conference on Engineering technologies and applications (ICETA 2023)

作者： Y. -H. Chen W. -K. Kuo Department of Electro-optics Engineering National Formosa University Huwei Taiwan

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 1.4×10E-4 RIU under the TM polarized incident laser light.

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Towards Image-Grade LiDAR Odometry and Mapping 25

Towards Image-Grade LiDAR Odometry and Mapping

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IEEE 25th international conference on Intelligent Transportation Systems (ITSC)

作者： Wang, Yusheng Song, Weiwei Lou, Yidong Yu, Huan Wuhan Univ GNSS Res Ctr 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ Sch Geodesy & Geomat 129 Luoyu Rd Wuhan 430079 Peoples R China INDRIVING Co Ltd Cent China Intellectual Valley Wuhan 430076 Peoples R China

ISBN: (数字)9781665468800

ISBN: (纸本)9781665468800

The recent developments in LiDAR technologies has promoted several super high intensity image-grade LiDAR sensors, receiving great interest in the intelligent transportation applications. Although objects detection and high-resolution map construction can benefit from this characteristic, there are several underlying challenges arising from such LiDARs. In this contribution, we present a robust and accurate odometry and mapping scheme for image-grade LiDARs, which addresses many key issues including outliers rejection, moving vehicles filtering, feature extraction and selection. Results from extensive experiments performed in various environments, including feature-poor tunnels and busy urban roads, demonstrate the high accuracy and robustness of the proposed method for state estimation in the real applications.

关键词： Location awareness Visualization Laser radar Roads Transportation Object detection sensor phenomena and characterization

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Analysis of the Wireless Communication technologies Used in Livestock Monitoring 3

Analysis of the Wireless Communication Technologies Used in ...

引用

3rd international conference on Communications, Information, Electronic and Energy Systems, CIEES 2022

作者： Evstatiev, Boris Kadirova, Seher Valov, Nikolay University of Ruse Angel Kanchev Dept. of Electronics Ruse Bulgaria University of Ruse Angel Kanchev Dept. of Automation And Mechatronics Ruse Bulgaria

ISBN: (数字)9781665491495

ISBN: (纸本)9781665491495

In this paper is analyzed the application of wireless technologies in Internet of Things (IoT) livestock monitoring systems. Initially are initialized the most important factors of the wireless technologies and characteristics of the wireless sensor networks, which limit their application. Next, are reviewed numerous applications of LoRa, ZigBee, WiFi, BLE, GPRS/3G/4G as well as other communication technologies. Their main areas of application, commonly used data sources, as well as the acceptable frequency and data volume of the sensor readings are evaluated. The results of this study provide the necessary information for designing a wide range of IoT systems, used for monitoring of indoor and outdoor bread animals, of the parameters of their environment and of different technological processes in livestock farms. © 2022 IEEE.

关键词： Internet of things

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An Efficient and Secure Framework for Smart Healthcare Using IoT and Machine Learning

An Efficient and Secure Framework for Smart Healthcare Using...

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2024 international conference on Decision Aid Sciences and applications, DASA 2024

作者： Pandey, Vivek Kumar Prakash, Shiv Gupta, Tarun Kumar Rathore, Vandana Singh, Abhishek Yang, Tiansheng Rathore, Rajkumar Singh University of Allahabad Department of Electronics and Communication Prayagraj India University of Allahabad Department of Electronics and Communication Uttar Pradesh Prayagraj India Miranda House Department of Computer Science University of Delhi Delhi India Institute of Engineering & Technology Dr. A.P. J. Abdul Kalam Technical University Lucknow India University of South Wales Pontypridd United Kingdom Cardiff School of Technologies Cardiff Metropolitan University Cardiff United Kingdom

ISBN: (纸本)9798350369106

The healthcare systems worldwide are challenged with the increased demand for rapid and efficient patient care. In this context, an advanced solution is required to meet the growing needs. This paper presents an intelligent healthcare framework integrating IoT devices with machine learning algorithms to enable real-time predictive patient monitoring. It comprises a four-layer architecture: data acquisition from IoT sensors, data preprocessing, analytics for predictive modeling, and an application layer for user interactions. Validated with data from the MIMIC-III and PhysioNet datasets along with 12 months of IoT sensor data from a university medical center, the framework achieved 96% prediction accuracy with precision, recall, and ROC AUC scores of 0.95, 0.96, and 0.98, respectively. The system had a great response time of 200 milliseconds. It has greatly improved early detection by 36.9% and reduced false alarms by 68%. False alarms decreased from 25% to 8%, and response time was reduced from 45 to 12 minutes, or 73.3 %. Resource utilization analysis reflects optimal performance since the analytics layer hit a spike at 45% CPU utilization, thereby pointing out optimal load management. Patient satisfaction also rose to 22.7%, increasing from 75% to 92%, reflecting the framework's impact on care quality. All these results render the framework an effective and scalable solution that optimizes healthcare resources while improving care for the patient. © 2024 IEEE.

关键词： Adversarial machine learning

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Algorithm Research for Bubble Detection in Capacitive Liquid Level sensor of Fully Automated Immunoassay Analyzer 5

Algorithm Research for Bubble Detection in Capacitive Liquid...

引用

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

作者： Huang, Kai Zhang, Zhengyong Institute of Physical Science and Information Technology Anhui University Hefei China Institute of Intelligent Machines Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China

Fully automated immunoassay analyzers are integral to clinical testing, with liquid-level detection crucial to mitigate false measurements and cross-contamination. This study introduces a bubble detection algorithm based on the Random Forest machine learning model to address bubble detection in analyzers using capacitive sensors. The algorithm processes collected capacitance data, accurately identifying bubbles and ensuring sampling accuracy. Data preprocessing, feature extraction, and classification enable precise bubble detection. Compared to the traditional CART decision tree algorithm, this algorithm demonstrates superior bubble detection performance, indicating its significant research value and potential for liquid-level detection in fully automated immunoassay analyzers. © Published under licence by IOP Publishing Ltd.

关键词： Decision trees

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An investigation of sensing and technologies for supporting the intelligent transport management system in urban area

An investigation of sensing and technologies for supporting ...

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Smart Information Systems and technologies (SIST), IEEE international conference on

作者： D. Dung Nguyen Kinzhikeyev Sergey Faculty of Aerospace Engineering Le Quy Don Technical University Hanoi Vietnam Faculty of Security Astana IT University Astana Kazakhstan

ISBN: (数字)9798350374865

ISBN: (纸本)9798350374872

The process of urbanization has significantly contributed to economic growth, improved human capabilities, and enhanced living standards. However, it has also introduced challenges in managing transportation systems, including issues such as traffic congestion, safety concerns, and pollution. To address these challenges, there is a growing adoption of intelligent technologies across various transportation applications, leading to the emergence of innovative transportation methods. This paper aims to provide the following key contributions: i) Overview of the urban transport system: The paper presents a concise explanation of the urban transport system, highlighting its importance and the need for effective management; ii) Introduction of an intelligent total transport managing system: The paper proposes the implementation of an intelligent total transport managing system that utilizes a hierarchical concept to classify different segments of transportation; iii) Integration of sensor technologies: The paper explores the integration of sensor technologies into vehicles and infrastructure to enable durable and intelligent total transport management; iv) applications in safety, traffic management, and control: The paper discusses the potential applications of numerous sensors deployed within an intelligent transport management system, including areas such as safety, traffic management, and control. By addressing these research aspects, the paper aims to contribute to the understanding of intelligent transport management systems in urban areas. It emphasizes the significance of integrating sensor technologies and highlights their potential applications in enhancing safety, traffic management, and control. Ultimately, the findings of this research can inform the development of smarter and more efficient transportation systems in urban environments.

关键词： Pollution Smart cities Merging Transportation Machine learning Safety sensors

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Development of Correction Models for Three-Electrode NO2Electrochemical sensor 28

Development of Correction Models for Three-Electrode NO2Elec...

引用

28th international conference on Information, Communication and Automation technologies, ICAT 2022

作者： Panjevic, Adis Uzunovic, Tarik Can Ustundag, Baris University of Sarajevo Faculty of Electrical Engineering Sarajevo Bosnia and Herzegovina Istanbul Technical University Department of Computer Engineering Istanbul Turkey

ISBN: (纸本)9781665466929

Ambient conditions, especially temperature and humidity, have a huge impact on the performance of an air quality sensor. In this paper, four correction models were built to compensate the impact of ambient conditions. Linear regression and machine learning algorithms were used for building the models. Correction models were trained by using three types of measurement data. Raw measurement data was used in the first case. Secondly, measurement data was corrected and a significant improvement was shown. Lastly, measurements of various ambient conditions were used as well. Using corrected and extended measurement data brought a great improvement in accuracy of the models. A neural network correction model proved to be the most efficient in all cases. Compensating the impact of ambient conditions on the performance of an air quality sensor by using correction models was efficient and this method could be used in the air quality monitoring applications. This is of particular importance for usage of low-cost sensors in the air quality monitoring. © 2022 IEEE.

关键词： Air quality

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Coherent Radar waveform Generation and IF signal detection using single laser source for Multi band sensor Network applications

Coherent Radar waveform Generation and IF signal detection u...

引用

2022 IEEE international conference on Electronics, Computing and Communication technologies, CONECCT 2022

作者： Meena, D. Purohit, Saraswati Anil Kumar, Arjun Prusty, Gaurav Drdo Electronics and Radar Development Establishment Bengaluru India Cochin University of Science and Technology International School of Photonics Kochi India PES University Bengaluru India

ISBN: (数字)9781665497817

ISBN: (纸本)9781665497817

The presence of multiband sensors boosts the capabilities of a sensor network in multiple folds. In this kind of applications, the coherency between the sensors is mandatory for real time data fusion. Photonics based solutions are capable of generating coherent multiband Radio Frequency (RF) signals and detecting its Intermediate frequency (IF) signals using a single hardware configuration. This is possible due to the wide bandwidth capability of photonic components up to mmwave range of frequencies. This helps in reducing the hardware complexity of sensor network architecture in comparison with RF counterparts with the generation of coherent multiband signals. This work brings out an architecture of a sensor network consisting of radars operating in different frequency bands. These radars generate transmit signals from an Intermediate Frequency signal and retrieve the signal back using a photonics based coherent radar transmitter-receiver. Heterodyning of various frequency modes of a single laser source along with a photo detector results in the generation of multiband RF signals. Conventionally this is achieved with different hardware for different frequency signal generation and detection using respective mixers with local oscillator signals. The usage of coherent transmitter-receiver block enables the data fusion of receive echo signals from multiband radar systems efficiently in comparison with conventional systems. In addition, the usage of fiber links allows to carry both transmit and receive signals for longer distance with less attenuation. The work is supported with modeling and experimental results of multiband RF signal generation, both carrier and chirped signals with its IF signal detection. © 2022 IEEE.

关键词： sensor networks

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Control System for a Discrete Weight Meter

Control System for a Discrete Weight Meter

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2022 international conference on Industrial Engineering, applications and Manufacturing, ICIEAM 2022

作者： Smolyaninov, Andrey V. Pocebneva, Irina V. Deniskina, Antonina R. Voronezh State Technical University Dpt. of Control Systems and Information Technologies in Construction Voronezh Russia Department 104 'Technological Design and Quality Management' Moscow Russia

ISBN: (纸本)9781665483698

The paper deals with the synthesis of a control system for a discrete weight dispenser. To determine the law of regulation, his mathematical model was obtained on the channel 'voltage frequency on the stator of the electric motor of the feeder - the reading of the material mass sensor', which was subsequently linearized, which allowed, by the method of assigning poles, to synthesize the analog regulation system. The synthesized control algorithm was tested on a nonlinear model of the obj ect, taking into account the limitations imposed on the control effect. In addition, an algorithm for discrete control of the feeder drive was developed and a comparative analysis of analog and discrete control systems was carried out. As a result, it was found that with the required dosing accuracy not exceeding 1 %, it is most expedient to use a discrete control system. © 2022 IEEE.

关键词： Linearization

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