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

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A review on recent techniques developed for energy conservation in Wireless sensor Networks

A review on recent techniques developed for energy conservat...

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2023 International conference on Intelligent systems, advanced Computing and Communication, ISACC 2023

作者： Basumatary, Habila Chowdhuri, Rajib Deb Barma, Mrinal Kanti Tezpur University Department of Computer Science and Engineering Assam India National Institute of Technology Department of Computer Science and Engineering Agartala India

ISBN: (纸本)9798350399387

In modern days, with the fastest growing technology trends, the benefits of Wireless sensor Networks (WSNs) are also increasing rapidly. In these networks, very small-sized wireless sensor nodes are used widely which are capable of sensing and doing computations. These sensor nodes are resource-limited in nature i.e., they have limited storage capacity, power supply, computation capability, bandwidth, etc. WSNs are mostly used in outdoor application areas like environmental monitoring, land mines detections or different military applications where the power supply to the sensor nodes does the major role. In these applications, without any external power supply, the sensor nodes run the whole network by collecting data from its surroundings and also communicate these data to the end-user. Hence, conserving energy for the sensor nodes is one of the most challenging tasks in WSNs. In this paper, we have done detailed study on the existing literature which are proposed with the objective to improve the energy efficiency issue in WSNs. Here, we have selectively highlighted some of the recently proposed methodologies to understand the present research scenario. We have also shown comparative analysis on the techniques and tools which are used to propose these works and their variation of the results are discussed accordingly. © 2023 IEEE.

关键词： Energy efficiency

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BIBLIOMETRIC REVIEW OF SMART sensor FOR HEALTH MONITORING

BIBLIOMETRIC REVIEW OF SMART SENSOR FOR HEALTH MONITORING

引用

International conference on Green Energy, Computing and Intelligent Technology 2024, GEn-CITy 2024

作者： Halim, Christian V. Marinah, Murti Shafira, Dinda A.I. Dwiyantara, Muhammad Y. Abadi, Imam Department of Physics Engineering Faculty of Industrial Technology and Systems Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781837242689

Smart sensors and medical health technologies are becoming increasingly popular due to their potential for real-time, noninvasive health monitoring and diagnostics. With the integration of Artificial Intelligence (AI), these devices can track vital signs and important biomarkers, supporting the management of chronic diseases. This study employs bibliometric analysis using tools like VOSviewer to map research trends in this domain, identifying collaborations, emerging keywords, and contributions from institutions and countries. Findings indicate a significant increase in publications and citations, especially after 2010, highlighting influential journals such as IEEE sensors Journal. The primary focus is on health monitoring applications and advancements in sensor technology, with an increasing use of terms like "machine learning" and "data analytics." These findings provide insights into future research directions and technological innovations that impact medical health applications. It is recommended that future development integrate advanced data processing techniques and apply sensors in infrastructure and smart city environments, aiming to create systems that are more responsive, efficient, and sustainable. © The Institution of Engineering & Technology 2024.

关键词： Electronic health record

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Sun-Powered Tactical Uniforms for Soliders in Military applications 10

Sun-Powered Tactical Uniforms for Soliders in Military Appli...

引用

10th International conference on advanced Computing and Communication systems, ICACCS 2024

作者： Anila, Chowdam Ashokkumar, N. Vittan, Eduru Joel Chowdary, Bheemaneni Uma Maheswara Subramani, Dhanya Sree Bala Balamanikandan, A. Electronics and Communication Engineering Andra Pradesh Tirupati517102 India

ISBN: (纸本)9798350384369

This endeavor presents an innovative Solar-Powered Tactical Uniform for Military use, incorporating Arduino technology along with an array of sensors and communication modules. The configuration includes an Arduino ATmega16a microcontroller, LCD display, a 70x70 solar panel, a 12V battery, a heart rate sensor, a temperature sensor, dual relays, a CPU fan, a Peltier module, a DHT11 humidity and temperature sensor, GPS, a GSM module, and push-button switches. The renewable energy captured by the solar panel is utilized to recharge the 12V battery, ensuring a constant power supply for the electronic components of the uniform. Real-time data on the LCD display is derived from the soldier's vital signs, which are monitored by the heart rate and temperature sensors. To improve soldier comfort, the Peltier module actively regulates temperature. During crucial scenarios, the system initiates the cooling process by activating the CPU fan and engages the GPS and GSM modules for both location tracking and communication purposes. Manual control is facilitated through push-button switches. This intelligent E-uniform seamlessly integrates energy-efficient features, health monitoring, and communication capabilities, showcasing its ability to improve soldier well-being and enhance situational awareness in field operations. © 2024 IEEE.

关键词： Liquid crystal displays

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Machine Learning for sensor-Based Handwritten Character Recognition: A Brief Survey 21st

Machine Learning for Sensor-Based Handwritten Character Reco...

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21st International conference on Distributed Computing and Intelligent Technology

作者： Singh, Shashank Kumar Chaturvedi, Amrita IIT BHU Dept Comp Sci & Engn Varanasi 221005 Uttar Pradesh India

ISBN: (纸本)9783031814037;9783031814044

Handwriting recognition technologies have evolved significantly, with recent advancements incorporating wearable devices such as smartpens, smartwatches, and smartphones to capture motion and gesture data. This paper reviews various efficient handwriting recognition models that utilize inertial sensors, visual sensors, EMG sensors, and acoustic and Wi-Fi signals. Inertial sensor-based approaches often use accelerometers and gyroscopes to collect three-dimensional data during handwriting, with models achieving high accuracy in recognizing digits and alphabets. Visual sensor-based techniques, leveraging cameras and image processing, have been fundamental in developing Optical Character Recognition (OCR), further enhanced by deep learning algorithms. EMG sensors have been explored for their potential to capture muscle activity for gesture recognition. At the same time, acoustic and WiFi signal-based methods offer innovative ways to recognize handwriting through sound and signal variation. Despite the progress, challenges such as sensor drift, data generalization, and computational requirements persist. Integrating multi-modal sensors and advanced machine learning techniques holds promise for overcoming these limitations and improving the accuracy and usability of handwriting recognition systems across diverse applications.

关键词： Inertial sensor Machine Learning Visual sensors

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Application of big data analysis in improving the efficiency of sensor reliability testing

Application of big data analysis in improving the efficiency...

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2024 International conference on Physics, Photonics, and Optical Engineering, ICPPOE 2024

作者： Wan, Wangjun Zhao, Minghua Song, Weijie Dong, Chunfa Ling, Zhixiang State Grid Jinan Power Supply Company Shandong Jinan250000 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

In modern technological applications, the reliability of sensors plays a crucial role in ensuring the proper functioning of systems. Therefore, sensor reliability testing has become an important aspect of quality control and system maintenance. However, traditional testing methods often face challenges in terms of efficiency and accuracy, especially when dealing with large-scale sensor data. In order to address these challenges, this paper proposes an innovative approach to improving sensor reliability testing efficiency by leveraging big data analytics, particularly through the application of neural networks. The method involves extracting features from different scales and abstraction levels using a multi-scale neural network architecture. Subsequently, the extracted detailed information is fused with high-level semantic features to minimize information loss, enhance feature utilization, and obtain advanced features, thereby improving the performance of the network. Additionally, a spatial attention module is introduced into the network to extract critical information and enhance overall network performance, effectively detecting sensor faults. Through comprehensive experiments conducted on real-world sensor data, the effectiveness and efficiency of the proposed method have been demonstrated, highlighting its significant potential in enhancing sensor reliability testing processes. This research not only contributes to the advancement of sensor reliability testing but also underscores the broader potential of big data analytics in improving the performance and reliability of complex technological systems. © 2025 SPIE.

关键词： Data reliability

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Salp Swarm Algorithm for Drift Compensation in E-nose 15

Salp Swarm Algorithm for Drift Compensation in E-nose

引用

15th International conference on advanced Computational Intelligence (ICACI)

作者： Rehman, Atiq Ur Kabir, Md Alamgir Ijaz, Muhammad Al-Mohsin, Hanadi M. Bermak, Amine Malardalen Univ Sch Innovat Design & Engn Hogskoleplan 1 S-72220 Vasteras Sweden Hamad Bin Khalifa Univ Coll Sci & Engn Doha Qatar

ISBN: (纸本)9798350321456

E-nose technology relies on the proper functioning of sensors to identify and discriminate between different chemicals and odors. The long-term reliability of e-nose technology is hindered by the phenomenon of sensor drift. The effect of sensor drift is seen as a random and unpredictable shift in the data domain. This random shift in data deteriorates the performance of machine learning algorithms used in e-nose technology. Swarm intelligence based optimization has been successfully applied in different domains to deal with NP-hard optimization problems. In this paper, a swarm intelligence-based metaheuristic is proposed to deal with the sensors drift issue in e-nose technology. The proposed framework is validated using a benchmark dataset of sensor drift, and a significant improvement is observed in terms of the classification accuracy of different industrial gases. The proposed framework has the following benefits over conventional approaches: (i) there is no need for sensor re-calibration;(ii) there is no need for sensor replacement;(iii) there is no need for target domain data;and (iv) there is no need for domain transformation. Instead, the proposed work relies only on the source domain data and optimizes the feature space to deal with sensor drift. This makes the proposed framework more suitable for real applications of E-nose technology.

关键词： E-nose technology Heuristic optimization Salp swarm optimization sensor drift swarm intelligence

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Real-Time Indoor Target Tracking Using IoT and Wireless sensor Networks 4

Real-Time Indoor Target Tracking Using IoT and Wireless Sens...

引用

4th International conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Katakwar, Sachin R. Jajulwar, Kapil K. Tadas, Surekha M. Tech Communication Engineering G H Raisoni College of Engineering Nagpur India G H Raisoni College of Engineering Department of Electronics and Telecommunication Engineering Nagpur India

ISBN: (纸本)9798331523923

Indoor target tracking presents significant challenges across various fields such as security surveillance, industrial automation, and healthcare. This research paper outlines the design and implementation of a reliable direction monitoring system aimed at achieving accurate indoor target tracking using IoT and wireless sensor networks. By utilizing advanced sensor technologies and sophisticated data processing algorithms, the proposed system enables real-time monitoring and precise localization of targets within indoor spaces. The combination of IoT devices and wireless sensor networks facilitates effective data collection, analysis, and visualization, thereby improving the overall performance of the monitoring system. The results indicate that the developed system is effective in accurately tracking and localizing targets, fulfilling the essential requirement for efficient indoor direction monitoring solutions. The paper concludes with a discussion on the practical implications and potential applications of this system, emphasizing its importance in enhancing indoor target localization across diverse sectors. © 2025 IEEE.

关键词： Indoor positioning systems

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Energy Efficiency Optimization of Wireless sensor Networks with K-Means Integration 7

Energy Efficiency Optimization of Wireless Sensor Networks w...

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7th International conference on advanced Communication Technologies and Networking, CommNet 2024

作者： Hilmani, Adil Sabri, Yassine Maizate, Abderrahim Aouad, Siham Koundi, Mohammed Ayoub, Fouad Mohammed v University LASTIMI High School of Technology Salé Rabat Morocco FacuIty of Sciences Agadir Morocco University Hassan II RITM ESTC/CED-ENSEM Casablanca Morocco Mohamed v University Smart Systems Laboratory ENSIAS Rabat Morocco Ibn Tofail University ASE-Lab ENSA Kenitra Morocco ERATIC Team LaREAMI Lab CRMEF-K Kenitra Morocco

ISBN: (纸本)9798350367027

In wireless sensor networks (WSNs), optimizing energy consumption and ensuring efficient data transmission are crucial for network longevity and performance. This paper introduces an enhanced clustering technique for wireless sensor networks that aims to extend network lifetime and ensure reliable data delivery. Instead of regular K-Means clustering, we integrate the Silhouette score method to evaluate cluster quality and decide the optimal number of clusters. This improves how nodes are grouped together in the network. Additionally, we strategically select routing paths from cluster heads to the base station that minimize energy drainage. Comprehensive simulations show our dual optimization approach outperforms standard K-Means in terms of energy efficiency, stable network organization and effective data transmission and overall, the proposed improvements to clustering and routing significantly advance energy-constrained wireless sensor networks toward more sustainable and dependable real-world applications. © 2024 IEEE.

关键词： Energy efficiency K-Means clustering Power consumption Routing protocol Silhouette Score Wireless sensor network

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Optimized Routing protocol for Enhanced Quality of Service in 6G Wireless sensor Networks 2

Optimized Routing protocol for Enhanced Quality of Service i...

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2nd IEEE International conference on Networking and Communications, ICNWC 2024

作者： Shanmathi, S. Kumar, S. Praveen Lingaraja, D. Aravind, T. Ramya, S. Ram, G. Dinesh Saveetha Engineering College Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350365269

In order to increase Quality of Service (QoS) in 6G Wireless sensor Networks (WSNs), QoS-aware routing protocols have been proposed as a solution in the study. Existing systems have limitations such as inadequate performance and insufficient support for the different requirements of upcoming 6G applications. To overcome these restrictions, the proposed system employs novel routing protocols designed specifically for 6G WSNs. The protocols efficiently manage network resource use, minimize latency, and improve reliability by utilizing advanced algorithms and adaptive mechanisms. The outcomes of comprehensive experimental research show considerable increases in QoS measures including throughput, packet delivery ratio (PDR), and end-to-end latency (ETL). The results illustrate the usefulness of the proposed QoS-aware routing protocols, establishing them as critical enablers for the smooth integration of 6G WSNs into a variety of applications encompassing from smart cities to industrial automation. © 2024 IEEE.

关键词： Wireless sensor networks

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Design & Development of an Automatic Defense System for Warfare applications 15

Design & Development of an Automatic Defense System for Warf...

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15th International conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Tejas, R. Venkatesh, L. Shivamadu, D.N. Ravishankar, K. Ninawe, Swapnil S. Gunjal, Samyama G.H. Pavithra, G. Manjunath, T.C. Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Bangalore India Department of Computer Science & Engineering University Visvesvaraya College of Engineering Bangalore University Karnataka Bengaluru India

ISBN: (纸本)9798331300579

This paper presents the design and implementation of an automated defence system interface leveraging Arduino *** an era of evolving security threats, the development of automatic defense systems has become increasingly *** abstract provides a concise overview of automatic defense systems, focusing on their technologies and *** defense systems encompass a wide range of technologies, including sensors, artificial intelligence, robotics, and communication *** systems are designed to detect, analyze, and respond to potential threats in real-time, minimizing human intervention and response *** components of automatic defense systems include sensor arrays for threat detection, data processing algorithms for threat analysis, and autonomous or semi-autonomous response *** core typically involves sensors (radar, lidar), a command-and-control system for threat evaluation, and countermeasures (missiles, lasers, guns).applications of automatic defense systems span various domains, including military, homeland security, critical infrastructure protection, and public *** systems offer enhanced situational awareness, rapid threat response, and scalability to adapt to evolving security *** technology continues to advance, the integration of emerging technologies such as machine learning, drones, and IoT further enhances the capabilities of automatic defense *** project "Design & Development of an Automatic Defense System for Warfare applications" focuses on creating a sophisticated, autonomous defense mechanism aimed at enhancing security and operational efficiency in military *** system integrates advanced sensor technologies, real-time data processing, and artificial intelligence to detect, identify, and neutralize potential threats with minimal human *** features include robust target recognition algorithms, adaptive threat response capabilities, and seamless in

关键词： Optical radar

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