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

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The Fundamentals of WLAN sensors Systems applications

The Fundamentals of WLAN Sensors Systems Applications

引用

Communication, Computing and Energy Efficient technologies (I3CEET), international conference on

作者： Ruchi Ramanuj Tewari Mohammed Al-Farouni N. Esanmurodova Yogendra Kumar Alankrita Joshi Department of Computer Application Chandigarh Engineering College Chandigarh Group of Colleges Mohali Punjab India School of Management Graphic Era Hill University Bhimtal Uttarakhand India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq Department of Physics and Chemistry Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University Tashkent Uzbekistan Scientific Researcher Western Caspian University Baku Azerbaijan Department of Electrical Engineering GLA University Mathura India Department of Electronics & Comm. Engineering Graphic Era Deemed to be University Dehradun India

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

Wireless sensor networks are developing quickly, which has several benefits and is advancing this sector of technology. As a result, wireless sensor network applications have grown dramatically over time. With the goal of promoting a better knowledge of this developing topic and emphasizing new applications, this article attempts to provide readers with a current overview of the most common and conventional uses of wireless sensor *** main application groups for mobile networked sensors are determined in order to accomplish this aim, and sample examples are investigated within each category. A thorough analysis of their unique qualities is given, as well as an extensive list of benefits and drawbacks. Each primary category's subcategories are also taken into account, and their distinct qualities are covered in detail. An insightful assessment of exemplary cases in each subcategory clarifies their benefits and drawbacks in more *** next section explores in detail the particular characteristics belonging to each group and division. A thorough examination clarifies the unique characteristics of these applications. After that, elements relevant to each particular group are examined. With a few final thoughts, the paper offers a thorough examination of the many uses and aspects of wireless networks of sensors.

关键词： Wireless sensor networks Wireless LAN Service robots Wireless networks Surveillance Traffic control Robot sensing systems sensor systems Telecommunication computing Traffic congestion

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Human Activity Sensing from Low-rate Samples under Integrated Networking

Human Activity Sensing from Low-rate Samples under Integrate...

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IEEE international conference on Connected Health: applications, Systems and Engineering technologies (CHASE)

作者： Moh Sabbir Saadat Sanjib Sur Computer Science and Engineerng University of South Carolina Columbia SC USA

ISBN: (数字)9798350345018

ISBN: (纸本)9798350345025

Indoor sensing of human activity with wireless signal has long been identified as a potential tool for privacy-aware continuous health diagnosis in all lighting conditions. The introduction of high-frequency and large bandwidth millimeter-wave (mmWave) signal has given more fuel than ever to this idea. However, there are limited efforts to truly integrate sensing on networking systems. In this work, we explore an opportunistic activity sensing scheme within a networking system.

关键词： Wireless communication Wireless sensor networks Neural networks Millimeter wave technology Lighting Bandwidth sensors

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Reinforcement Learning based Hybrid Optimum Route Identification Scheme in WSN

Reinforcement Learning based Hybrid Optimum Route Identifica...

引用

Intelligent technologies (CONIT), international conference on

作者： Basavaraj M. Angadi Mahabaleshwar S. Kakkasageri Electronics and Communication Engineering Department Basaveshwar Engineering College Bagalkote INDIA

ISBN: (数字)9798350349900

ISBN: (纸本)9798350349917

Wireless sensor Networks (WSNs) has gained lot of interest for researchers especially in monitoring and surveillance applications. Due to limited energy in sensor nodes has created challenge in transmitting the sensed data to base station by developing appropriate routing scheme. Considering the major issues of minimizing energy consumption and maximizing network lifetime, this work proposes a hybrid energy efficient Reinforcement Learning (RL) based optimal route identification scheme for WSN. RL based Q-learning algorithm is used to determine the probable next hop in the route considering degree of connectivity, link quality and available bandwidth. Gravitational Search Algorithm is applied to fine tune the routing choices using fitness function. Q value, residual energy and distance from base station to cluster head are used to derive the fitness function for GSA. Performance effectiveness of the proposed work is validated through simulation results.

关键词： Wireless communication Wireless sensor networks Base stations Q-learning Surveillance Simulation Clustering algorithms

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A 0.61 nJ/bit Scheduled Wake-Up Transmitter for Wireless Body Area Networks Application

A 0.61 nJ/bit Scheduled Wake-Up Transmitter for Wireless Bod...

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IEEE international conference on Integrated Circuits, technologies and applications (ICTA)

作者： Yaoyu Li Yanshu Guo Nan Wu Tian Tian Zhihua Wang Hanjun Jiang School of Integrated Circuits Tsinghua University Beijing China Nanyang Technological University Singapore Singapore Research Institute of Tsinghua University in Shenzhen Guangdong China

ISBN: (数字)9798331530723

ISBN: (纸本)9798331530730

This paper proposes a D8PSK quadrature scheduled wake-up transmitter for video/image transmission in typical wireless body area network medical applications. This design includes a scheduled sleep/wake-up controller and a charge pump based high-efficiency power management unit (PMU), and a quadrature up-conversion transmitter. The scheduled sleep/wakeup scheme and power management technique contribute to reduce the power consumption and extend the life-time of a battery-supplied wireless sensor. This design is fabricated in 65 nm CMOS technology, with a maximum output power of $\mathbf{- 0. 5}$ dBm and an average power consumption of 57.7 uW. The data rate for wake-up mode is 9 Mbps in D8PSK modulation scheme. The achieved EVM is $2.81 \% \mathrm{rms}$ with an energy efficiency of $0.61 \mathrm{~nJ} / \mathrm{bit}$.

关键词： Wireless communication Wireless sensor networks Power demand Transmitters Power system management Modulation Body area networks Phasor measurement units Energy efficiency Power generation

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Advancements in Human Activity Recognition: A comprehensive Review of Smartphone and Wearable sensor Integration

Advancements in Human Activity Recognition: A comprehensive ...

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international conference on Inventive Computation technologies (ICICT)

作者： Cheruku Dhohada Konatham Sumalatha Computer Science and Engineering Vellore Institute of Technology Vellore Department of Database Systems Vellore Institute of Technology Vellore

ISBN: (数字)9798350359299

ISBN: (纸本)9798350359305

In recent years, deep learning and machine learning methods have been extensively employed in almost every field due to their capability of data processing and analysis. These are the subdomains of Artificial intelligence that gather information in different formats and from different sources. Human Activity Recognition using smartphones and wearable sensors has evolved into a dynamic field with numerous applications and challenges. Ongoing research efforts continue to refine methodologies, address challenges, and expand the scope of Human activity recognition, making it an exciting area with significant potential. Nowadays everyone is using smartphones, so it is easy to find their applications in health monitoring, fitness tracking, context-aware computing, and security. The ability to automatically detect activities such as walking, running, and sleeping opens avenues for personalized services and interventions that help in people’s daily lives. While traditional machine learning and deep learning models offer valuable insights individually, ensemble learning presents an opportunity to further enhance accuracy and robustness. This research work aims to give a concise overview of the various deep learning and machine learning approaches, their convergence, and an analysis of the applications of these algorithms in the field of smartphone sensor-based human activity recognition.

关键词： Deep learning Technological innovation Reviews Human activity recognition Ensemble learning Security Smart phones

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VisBLE: Vision-Enhanced BLE Device Tracking 19

VisBLE: Vision-Enhanced BLE Device Tracking

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19th Annual IEEE international conference on Sensing, Communication, and Networking (IEEE SECON)

作者： Jiang, Wenchao Li, Feng Mei, Luoyu Liu, Ruofeng Wang, Shuai Singapore Univ Technol & Design Singapore Singapore Southeast Univ Nanjing Peoples R China Univ Minnesota Minneapolis MN USA

ISBN: (数字)9781665486439

ISBN: (纸本)9781665486439

IoT devices have evolved from providing remote connection to being an essential component of the Metaverse. The integration of IoT and vision technologies has been incubating emerging applications such as vision-enhanced device tracking and remote education/medicine/maintenance. Despite the exciting vision, practical challenges include coordinate transformation, angle estimation, target mapping, and personal error. Instead of proposing yet-another localization approach, we propose a novel vision-enhanced device tracking system, called VisBLE. VisBLE takes advantage of the new localization capability introduced in BLE 5.1 and advances in vision technologies for high accuracy, robust, and intuitive BLE device tracking. There are two novel technical mechanisms: i) a rotation-based wireless localization mechanism that accurately and robustly locates the BLE transmitter in the camera coordinate and ii) a homography-based matching mechanism that identifies target BLE devices with high accuracy on the camera screen. We prototype VisBLE and deploy it on the smartphone (i.e., Nexus 5X) and development board (i.e., CC26X2 + BOOSTXL-AOA). Our results show that VisBLE outperforms the state of the art in both angular accuracy and position accuracy.

关键词： Location awareness Wireless communication Wireless sensor networks Visualization Target tracking Bluetooth Transmitters

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Reinforcement Learning for Mobile Robot's Environment Exploration

Reinforcement Learning for Mobile Robot's Environment Explor...

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Robotics and technologies for Industrial Automation (ROBOTHIA), IEEE international conference on

作者： Saif Alahdal Nasr Abdalmanan Kamarulzaman Kamarudin Muhammad Aizat Abu Bakar Mohd Rizal Manan Ahmad Shakaff Ali Yeon Syed Muhammad Mamduh Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Arau Malaysia Center of Excellence for Advanced Sensor Technology Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Arau Malaysia Faculty of Electrical Engineering & Technology Universiti Malaysia Perlis Perlis Malaysia Center of Excellence for Advanced Sensor Technology Universiti Malaysia Perlis Arau Malaysia

ISBN: (数字)9798350356755

ISBN: (纸本)9798350356762

The field of mobile robotics has become increasingly significant in today's technology-driven world, with applications ranging from autonomous vehicles to automated delivery systems. This project aims to enhance the capabilities of mobile robots in navigating and exploring unfamiliar environments by developing and implementing a Reinforcement Learning (RL) model. The core objective is to enable these robots to autonomously explore, navigate, and adapt to new surroundings efficiently. By integrating the RL model into a mobile robot using the Robot Operating System (ROS), the project evaluates the system's efficiency through comprehensive ground experiments. The research compares the RL-based approach with established exploration methods, emphasizing the effectiveness of the Value Iteration algorithm, a dynamic programming algorithm for Markov Decision Processes (MDPs). Controlled experiments conducted in a 6×3 meter flat space with static obstacles and a 2D lidar sensor provide valuable insights into the RL model's performance and potential real-world applications. The findings highlight the advantages of the Value Iteration algorithm over traditional exploration methods, demonstrating its potential for improving autonomous robotic navigation and exploration.

关键词： Adaptation models Accuracy Service robots Heuristic algorithms Reinforcement learning Robot sensing systems Robustness Dynamic programming Mobile robots Robots

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Sensitivity Enhancement of a Complementary Split-Ring Resonator as a Dielectric sensor Using Nonzero-Offset Coupling 6

Sensitivity Enhancement of a Complementary Split-Ring Resona...

引用

6th international conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022

作者： Albishi, Ali M. College of Engineering King Saud University Electrical Engineering Department Riyadh11421 Saudi Arabia

ISBN: (纸本)9798350399615

In this paper, a novel technique based on nonzero-offset coupling for sensitivity enhancement of a complementary split-ring resonator as a dielectric sensor is proposed. Changing the offset between the central island of CSRR and the microstrip line makes the overall system sensitive to changes near the sensor, which adds a new degree of freedom for sensitivity enhancement since the sensitivity of such a system is related to the coupling capacitance and inductance. The resonator is designed by etching out a ring with a split in the ground plane and then inductively excited by connecting the resonator's island to TL using a plated via. As a dielectric sensor, the sensing mechanism is based on measuring the relative changes in the resonance frequency in respect of a reference case. The sensor is used to detect a dielectric slab with a thickness of 3 mm and width and length of 22.5 mm, where the relative permittivity of the slab is varied from 1 to 11 with a variation of 0.5. The proposed sensor is evaluated using a numerical simulation (HFSS). Based on the numerical results, the enhanced sensitivity is 44.38%, 15.45%, and 6.54 % when detecting the slab with the dielectric constant of 1.5, 2, and 10, respectively. Since the sensor has many features such as high sensitivity, simplicity in the sensing mechanism, and low-cost fabrication using printed circuit board technology, the sensor can be attractive for sensing-system designers, making it an ideal candidate for biomedical and industrial applications. © 2022 IEEE.

关键词： Complementary split-ring resonators inductive and capacitive coupling near-field sensors RF and microwave resonators split-ring resonators

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Real Time Motion Capture for Physical Rehabilitation Using Kinect

Real Time Motion Capture for Physical Rehabilitation Using K...

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Smart Systems for applications in Electrical Sciences (ICSSES), international conference on

作者： Singireddy Srijay Reddy Nagumalla Yasash P. Rama V. Angayarkanni J. Kalaivani Faculty of Engineering and Technology Computing Technologies College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur TN India Department of Computing Technologies School of Computing College of Engineering and Technology SRM Institute of Science and Technology Chennai Department of Computing Technologies Faculty of Engineering and Technology SRMIST Kattankulathur

ISBN: (数字)9798331507671

ISBN: (纸本)9798331507688

This Project is a Kinect-based rehabilitation system designed to assist patients with movement disorders by performing targeted physical exercises at home. This system enables the evaluation of whether patients are correctly executing the prescribed rehabilitation exercises. By utilizing the skeletal tracking capabilities of the Microsoft Kinect sensor, each movement of the patient during the exercises is recognized and *** research introduces a real-time motion capture system designed for physical rehabilitation using Microsoft's Kinect sensor. The system addresses the growing demand for remote, data-driven healthcare solutions that assist in rehabilitation exercises by tracking and analysing skeletal movements. The Kinect's ability to track 25 joints in real time provides a unique opportunity to offer non-intrusive monitoring, real-time feedback, and data collection for therapists and patients. While Kinect offers several advantages, including cost-effectiveness and ease of use, our study identifies several limitations in precision, especially for complex movements and occlusion scenarios. This paper details the system's design, testing, and evaluation, highlighting areas where future improvements are necessary.

关键词： Accuracy Target tracking Tracking Smart systems Motors Real-time systems Motion capture Monitoring System analysis and design Testing

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A Review on Electrospun PVDF-Doped Metal Oxide Nanoparticles for sensor applications 1

A Review on Electrospun PVDF-Doped Metal Oxide Nanoparticles...

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1st international conference on technologies for Smart Green Connected Society 2021, ICTSGS 2021

作者： Malini, V. Hema Indumathy, B. Gunasekhar, R. Prabu, A. Anand Department of Chemistry School of Advanced Sciences Vellore Institute of Technology Vellore632014 India

ISBN: (纸本)9781607685395

Among the many fluoropolymers, polyvinylidiene fluoride (PVDF) has been well-known since 1960s and is preferred for various electronic applications owing to its lower cost, inordinate mechanical properties and tunable polymorphism. It is well known that PVDF exhibits five different crystalline polymorphs (α, β, γ, δ and Ε). Among all, β-crystalline phase is the most important with excellent piezoelectric, ferroelectric and pyroelectric properties. Metal oxide nanoparticles (MO-NPs) are used in diverse applications, aided by their unique electrical, optical, magnetic, and catalytic properties. Many reports are available with a focus on the synthesis of Fe, Co and Ni oxide magnetic NPs for data storage and sensor applications. More importantly, transition metal cations can exist in several different valence states and their crystallite size increased with increasing addition of metal doping. Incorporation of MO and doped MO with PVDF plays pivotal a role in improving the sensitivity of the piezoelectric sensor. This review covers the doping of PVDF with MO-NPs and their effectiveness towards in applications. © The Electrochemical Society

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