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

共 9417 条记录，以下是271-280 订阅

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Wireless Monitoring System with Capability of RSS Data and Capture Data Synchronization

Wireless Monitoring System with Capability of RSS Data and C...

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2024 IEEE international conference on Consumer Electronics, ICCE 2024

作者： Tamai, Morihiko Hasegawa, Akio Yokoyama, Hiroyuki Adaptive Commun. Research Laboratories Advanced Telecommunications Research Institute International Kyoto619-0288 Japan

ISBN: (纸本)9798350324136

In wireless communication environments, network administrators must comprehend the situation of the wireless resource usage as detailed as possible to prevent deterioration of the communication quality. Both RSS data (i.e., a time series of received signal strengths) and capture data (i.e., a time series of header information extracted from each received frame) are useful for comprehending wireless resource usage. When obtaining these data using different sensor nodes, synchronizing the timestamps between both kinds of data is challenging. In this paper, we propose a synchronization algorithm between RSS and capture data and experimentally confirmed that it can achieve synchronization accuracy of less than 1 μs in just a few seconds of computation time. © 2024 IEEE.

关键词： monitoring synchronization wireless LAN

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IET international conference on Engineering technologies and applications, ICETA 2023

IET International Conference on Engineering Technologies and...

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

ISBN: (纸本)9781839539848

The proceedings contain 102 papers. The topics discussed include: research on bearing diagnosis with a smart gearbox using monitored vibration data;measured radiation power for 5G communication device;YOLOv7 algorithm and Winograd acceleration circuit for real-time road image recognition and reminder;grape farm pest bird sound detection system using embedded systems;a multi-stage dual mode digital LDO with fast transient response and adaptive frequency;optical dual sensor for the simultaneous detection of oxygen and nitric oxide based on electrospun fibers double-layer;an interactive English learning system with image and speech recognition;low-cost vibrotactile sensor using polyvinylidene fluoride film for use in virtual haptic data gathering;a robust model for the intelligent classification of uterine fibroid ultrasound images;and interworking between SNMP and OM2M supporting the bulk operation.

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Optimizing Behavior Classification Model Performance Through sensor Data Augmentation Using K-Equidistant Partitioning 15th

Optimizing Behavior Classification Model Performance Through...

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15th international conference on Computer Science and its applications, CSA 2023 and 17th KIPS international conference on Ubiquitous Information technologies and applications, CUTE 2023

作者： Park, Jeong Hyeon Moon, Nammee Department of Computer Science and Engineering Hoseo University 20 Hoseo-ro 79beon-gil Baebang-eup Chungcheongnam-do Asan-si Korea Republic of

ISBN: (纸本)9789819724468

In this study, we propose the K-EP (K-Equidistant Partitioning) Augmentation method to enhance the performance of a CNN-based model for classifying pet behaviors using sensor data. The the K-EP Augmentation method involves Partitioning even and odd rows of the time-series data matrix when assuming a binary split, thereby augmenting the data. This approach is based on the research finding that when the sensor data used in previous behavior classification studies satisfies a frequency range of 15 to 40 Hz, it provides sufficient performance for behavior classification models. Additionally, the research suggests that no further significant performance improvement occurs beyond 20 Hz. In our experiments, we aim to validate the performance improvement of the proposed augmentation method compared to various existing augmentation methods using diverse sensor data. The experimental results revealed that the model using only the original data attained an F1-score of 0.801. Models utilizing augmentation techniques demonstrated significant performance improvements K-EP reaching 0.855. Finally, by applying both Overlapping and K-EP techniques simultaneously, an F1-score of 0.903 was achieved. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Behavior Classification CNN Data Augmentation sensor Data

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Unleashing the Power of the Internet of Things: Enabling technologies, Protocols, and applications for a Connected World 3

Unleashing the Power of the Internet of Things: Enabling Tec...

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3rd international conference on Advancement in Electronics and Communication Engineering, AECE 2023

作者： Reddy, B. Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research for Business and Technology Punjab India

ISBN: (纸本)9798350330724

The Internet of Things, or IoT, has become a paradigm shift that unites the digital and physical worlds to create a world that is always linked. In order to fully realize the promise of the IoT, this article explores the fundamental technologies, protocols, and applications. We start by looking at the core technologies of the IoT, such as enhanced sensor technologies, low-power wide-area networks (LPWAN), and edge computing. We next go through the most recent protocols that guarantee effective, safe, and scalable IoT implementations, stressing the significance of standardization and interoperability. across addition, we showcase a variety of cutting-edge uses across a variety of industries, including smart cities, healthcare, agriculture, and industrial automation, to demonstrate the revolutionary potential of IoT. We hope that this thorough analysis will provide scholars, industry professionals, and decision-makers with a full knowledge of the state-of-the-art in IoT today, as well as the many potentials and challenges it brings for a connected future. © 2023 IEEE.

关键词： Internet of things

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THE APPLICATION OF BIONIC FISH ROBOTICS IN VARIOUS FIELDS 2

THE APPLICATION OF BIONIC FISH ROBOTICS IN VARIOUS FIELDS

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2nd international conference on Mechatronic Automation and Electrical Engineering, ICMAEE 2024

作者： Wang, Huaqun Leicester International School Dalian University of Technology Liaoning Panjin124200 China

ISBN: (纸本)9781837242672

Bionic fish technology refers to the research and design of mechanical or electronic systems that imitate the movement principle of natural fish, dolphins, or other Marine organisms. It is widely used in ocean observation, search and rescue, military reconnaissance as well as other fields. In the process of manufacturing bionic fish, key technologies of bionic fish robots are the most important. Such as mechanical structure design, fluid dynamics analysis, sensor integration, motion control algorithm, energy supply system, and underwater communication technology. Only through continuous innovation and optimization of these key technologies can high-performance and highly reliable bionic fish robots be achieved. This article mainly introduces the characteristics and applications of three typical bionic fish robots from a technical perspective. Based on this, the main features of the three bionic fish robots are summarized, and their motion efficiency and application fields are analyzed and compared. Finally, it points out some technical challenges that need to be addressed in the development of future underwater bionic robots and their broader application prospects. © The Institution of Engineering & Technology 2024.

关键词： Fish

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Design of Multi-Robotic System for Navigation in a Tomato Crop Field Using Human Robot Interaction, Robot Operating System and Gazebo

Design of Multi-Robotic System for Navigation in a Tomato Cr...

引用

2023 IEEE international conference on Electrical, Computer and Energy technologies, ICECET 2023

作者： Chandrasekaran, Balasubramaniyan Florida Polytechnic University Department of Electrical and Computer Engineering LakelandFL United States

ISBN: (纸本)9798350327816

Robotics is an emerging field and finds application in various areas. For applications such as navigation and collecting information in a large agricultural field, it is important to use more than one robot for timely and efficient information gathering. In this paper, an architecture for multi-robot navigation in an agricultural field is presented and the system uses Robot Operating System and Gazebo. This is a work in progress. © 2023 IEEE.

关键词： complementary sensors multi-robotics navigation sensor fusion sensors

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Mitigating Denial Based Service Attacks in Heterogeneous sensor Networks: Strategies and Solutions 11

Mitigating Denial Based Service Attacks in Heterogeneous Sen...

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11th international conference on Reliability, Infocom technologies and Optimization, ICRITO 2024

作者： Desai, Jaynesh H Bagle, Neha S Rami, Khyati Verma, Shanti Bhagwan Mahavir University Department of Computer Applications Gujarat Surat India Sal Institute of Technology & Engineering Research Department of Computer Science Gujarat India L J University Department of Computer Applications Gujarat Ahmedabad India

ISBN: (纸本)9798350350357

With the development of heterogeneous sensory networks in various applications of domains for ensuring the security against denial based service (DoS) attacks will become a paramount. In this research study, a proposal of a novel system named SecureSenseGuard(SSG) for effectively detecting DoS attacks in heterogeneous sensor networks. SecureSenseGuard(SSG) leveraging the Decision Tree (DT) algorithm augmented with Recursive type Features Elimination (RFE) for achievinga robust and efficient attack detection. The proposed system may operate by first Collection of data from diverged sensors within the network. The data, representing various network attributes, are then preprocessed and fed into the DT algorithm for classifications process. RFE will be employed as a feature selection techniques to enhance the performance of DT algorithm by iterative process for removing less relevant features, thus improving in detection accuracy and reducing computational overhead. The proposed system SecureSenseGuard(SSG) will offer several advantages over existing approaches. By employing DT, it will provide interpretable and transparent decision rules for facilitating understanding and trust in the detection process. Moreover, the integration of RFE will enhance the system's scalability and adaptability for dynamic network environments. To evaluate the effectiveness of SecureSenseGuard(SSG) an extensive experiment may be conducted by using various ranges of datasets and synthetic attack scenarios. The Results demonstrate that SecureSenseGuard(SSG) achieved high detection rates. while maintaining a low false alarm rate, outperforming traditional approaches. Overall, SecureSenseGuard(SSG) may present a promising solution in mitigating DoS attacks in heterogeneous sensory networks by offering a balance between detection accuracy, interpretability, and computational efficiency. © 2024 IEEE.

关键词： Heterogeneous networks

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Wearable Electrodermal Activity sensor for Real-Time Stress Detection Using Machine Learning

Wearable Electrodermal Activity Sensor for Real-Time Stress ...

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18th international Joint conference on Biomedical Engineering Systems and technologies, BIOSTEC 2025

作者： Santos, Salvador Sousa, Joana Ferreira, João NOS Inovação Rua Actor António Silva Lisbon Portugal

This paper discusses the design and implementation of a wearable electrodermal activity (EDA) sensor intended to detect subtle changes in skin conductivity, which are indicative of emotional states such as stress and anxiety, thus monitoring stress and arousal levels through advanced machine learning techniques. The device incorporates innovative conductive lycra combined with silver-silver chloride (Ag/AgCl) electrodes, enabling optimal skin contact and enhancing signal reliability. This integration allows for effective measurement of EDA. Utilizing the XGBoost algorithm, our machine learning model was trained on the ASCERTAIN dataset, achieving an overall accuracy of approximately 77% in predicting levels of arousal. While the model exhibited some challenges in predicting intermediate arousal states, it demonstrated strong precision and recall for extreme levels of arousal, underscoring its potential applications in mental health monitoring and human-computer interaction. The capabilities of this wearable technology for continuous and long-term health monitoring pave the way for further research into stress assessment and the understanding of emotional responses, emphasizing its relevance in enhancing psychological well-being. © 2025 by SCITEPRESS– Science and Technology Publications, Lda.

关键词： Silver halides

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A Novel Chaotic Quantum Grey Wolf Algorithm for Optimizing the Task Allocation of Water Quality Monitoring sensor Networks 9

A Novel Chaotic Quantum Grey Wolf Algorithm for Optimizing t...

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9th international conference on Automation, Control and Robotics Engineering (CACRE)

作者： Jia, Dingyi Zhu, Yuanjiao Wang, Mengfei Li, Jiahao Luo, Tao Wei, Jingyi Zhang, Baitao Zhou, Jie Shihezi Univ Coll Informat Sci & Technol Shihezi Peoples R China

ISBN: (纸本)9798350350319;9798350350302

Water quality monitoring sensor networks (WQMSNs) are crucial technological applications in environmental management, facilitating real-time monitoring and data collection of water quality. However, allocating tasks among sensor nodes in complex aquatic environments poses significant challenges to network efficiency. To tackle the task allocation problem in WQMSNs and enhance network performance, this paper introduces a novel Chaotic Quantum Grey Wolf Algorithm (CQGWA). This algorithm incorporates a new chaotic operator and a quantum operator to optimize the task allocation of sensor nodes. The chaotic operators introduce randomness, helping to avoid local optima and enhancing the global search capability. Meanwhile, the quantum operators utilize quantum bit representation and quantum rotation gates to refresh the evolutionary search. They select predefined candidate solutions from the candidate states and seek the globally optimal predicted solution for a given objective function. Extensive simulation experiments were conducted to validate the effectiveness of CQGWA. The results demonstrate that compared to the traditional Grey Wolf Algorithm (GWA) and Genetic Algorithm (GA), the task allocation efficiency in WQMSNs optimized using CQGWA increases by at least 8.46%. This significantly improves the effectiveness of water quality monitoring and enhances the network's performance and reliability.

关键词： Wireless sensor networks target allocation model Grey Wolf optimization algorithm

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Flexible Capacitive Pressure sensors and Their applications in Electronic Skin 3

Flexible Capacitive Pressure Sensors and Their Applications ...

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3rd international conference on Electronic Information Engineering and Computer Science, EIECS 2023

作者： Wang, Yuming Li, Yunzhou Song, Yuanheng Gao, Zhangwei Qingdao University Department of Automation Qingdao China Chongqing Depu Foreign Language School Chongqing China Wuhan Britain-China School Wuhan China

ISBN: (纸本)9798350316674

Pressure sensor is an important component of wearable devices, and flexible capacitive pressure sensors are the first choice because of the advantages of low impedance, low power, and high stability. The sensor that is in direct contact with the skin is called electronics skin, and its main purpose is to detect various indicators of the target group and provide feedback. To meet people's pursuit of comfortable and efficient electronic skin, new materials and technologies are adopted for flexible capacitive pressure sensors. In this paper, the function and improvement process of flexible capacitive pressure sensors and their specific application on electronic skin were reviewed. Firstly, this paper introduces the principle of flexible capacitance pressure sensor and the structure of a simple capacitive pressure sensor. Then, the preparation methods and technologies of flexible capacitive pressure sensors in recent years are summarized, mainly involving the popular three-dimensional (3D) printing technology and organic polymer materials. Finally, the application of the flexible capacitive pressure sensor in the skin is summarized, such as health inspection, environment inspection and human-computer interaction. © 2023 IEEE.

关键词： application capacitive pressure sensor electronic skin

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