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检索条件"任意字段=5th International Conference on Informational Processing in Sensor Networks"

共 8120 条记录，以下是161-170 订阅

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In-sensor Learning on Magnetic Tunnel Junction Devices Using the Forward-Forward Algorithm

In-Sensor Learning on Magnetic Tunnel Junction Devices Using...

引用

sensors and Information Technology (ICSI), international conference on

作者： Jiayuan Wang Minhui Ji Liyuan Yang Yueguo Hu Mengchun Pan Jiafei Hu Peisen Li College of Intelligence Science and Technology National University of Defense Technology Changsha China School of Stomatology The Fourth Military Medical University Xian China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Aiming at the real-time processing requirements in edge computing devices, we construct in-sensor computing units based on magnetic tunnel junction (MTJ) arrays, which realizes in-situ computation of vector-matrix multiplication with parameters dynamically programmed to adapt to different tasks. Different from the previously used back-propagation (BP) algorithm, we innovatively introduce the forward-forward (FF) algorithm, which utilizes the positive and negative samples “Goodness” optimization mechanism to reduce the computational complexity. In the noisy image classification task, the FF algorithm reduces the training time by more than 90% compared to the BP algorithm and significantly improves the convergence speed when perfect classification results are achieved.

关键词： Training Heuristic algorithms Real-time systems Classification algorithms Computational efficiency Noise measurement Junctions Magnetic tunneling Image classification Convergence

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An Efficient Urban Building Height Rover using Ultrasonic sensor

An Efficient Urban Building Height Rover using Ultrasonic Se...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： Jaladi Dhansukh Adnaan A D. Vijendra Babu School of Electronics Engineering Vellore Institute of Technology Vellore Tamil Nadu India Department of Embedded Technology School of Electronics Engineering Vellore Institute of Technology Vellore Tamil Nadu India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

A significant proportion of mobile surveying systems in the market are not economically viable due to their inconvenience in operation such as large size, complex data processing requirements and limited accessibility to areas without vehicle access. this paper proposes a model to deploy a rover-based system to address the challenges to measure the height of the building and object in urban environments using a low-cost, easy-to-assemble system comprising ultrasonic sensors, stepper motors and a laser system. Here, it integrates calibration mechanisms to be highly accurate, and the rover's modular architecture promotes robustness and easy replication for multiple scenarios. this advances the measurement of building heights in urban settings by enhancing users’ control of the process, and in delivering results that reflect local requirements.

关键词： Accuracy Ultrasonic variables measurement Web services Buildings Urban planning Motors Smart systems Acoustics sensor systems Intelligent sensors

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LabVIEW based Patient Monitoring System

LabVIEW based Patient Monitoring System

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： R.Kalaivani K.P.Sampooranam V M Balamurugan N.Chandru R.P.Cipiraj G.S Gokulakrishnan Electronics and Communication Engineering Erode Sengunthar Engineering College Erode India Electronics and Communication Engineering Bannari Amman Institute of Technology Erode India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

In modern healthcare, real-time patient monitoring is essential for timely diagnosis and intervention. this paper presents the development of a Patient Monitoring System using LabVIEW, integrating multiple sensors and wireless communication for efficient data acquisition and visualization. the system utilizes Arduino-based DHT11 and MAX30100 sensors to measure temperature, humidity, heart rate, and SpO₂ (oxygen saturation) levels. the acquired physiological data is interfaced with LabVIEW to provide real-time visualization and analysis. To enable wireless transmission, Amplitude Shift Keying (ASK) modulation is applied to the sensor data, which is then transmitted and received using a Universal Software Radio Peripheral (USRP). this system enhances remote patient monitoring by ensuring real-time, reliable, and secure data transmission, making it suitable for telemedicine and IoT-based healthcare applications.

关键词： Heart rate Wireless communication Temperature sensors Patient monitoring Wireless sensor networks Data visualization Medical services Real-time systems sensor systems sensors

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Research on Robot Collision Detection Method Based on Force Measuring Table Composed of Unidirectional Force sensor

Research on Robot Collision Detection Method Based on Force ...

引用

sensors and Information Technology (ICSI), international conference on

作者： Quan Li Feng Xie Xiaobao Lei Huawei Wei Anhui University School of Electrical Engineering and Automation Hefei Anhui China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Aiming at the collision detection problem of collaborative robots, a force measurement platform based on unidirectional force sensor for collision detection was designed. the platform was installed in series with the robot base, without changing the structure of the robot itself, which has the advantages of simple structure, low cost, and convenient measure. Using a combination of Adams and Matlab/Simulink simulation methods to model and simulate the collision process of the robot, the mapping relationship between the unidirectional force measured by the sensor in the force measurement platform and the collision force was derived. the force data of the three support points of the sensor in the force measurement platform before and after the collision was obtained, and the robot collision criteria analysis was carried out, which first performed difference processing on the force data of the three support points, then took the absolute values, and finally summarized them up. On the robot collision detection experimental platform, experiments were conducted on ROC6 robot to verify the feasibility of the proposed collision detection method. the experimental results showed that the proposed collision detection method had the characteristics of high sensitivity, small calculation volume, and easy of use.

关键词： Force measurement Sensitivity Force Collaborative robots Robot sensing systems Mathematical models Force sensors Collision avoidance MATLAB Robots

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A Survey on Intelligent Attack Mitigation and Latency Optimization in High-Speed Edge networks using Deep Learning and Bio-Inspired Algorithms

A Survey on Intelligent Attack Mitigation and Latency Optimi...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： Gandham Kiran Kumar M. thirumaran Department of Computer Science and Engineering Puducherry Technological University Puducherry India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

As the Internet connected devices and cyber– physical systems (CPS) are exponentially increasing, edge computing has become a crucial enabler to support real time processing in high-speed networks (HSNs). However, integrating edge computing into broadband infrastructure is a challenging problem and that includes mitigating security risks such as DDoS and time-delay attacks and keeping ultra-low latency. Explored for this survey are some recent technologies on how to detect attacks and optimize latency on the edge, focusing on forms of deep learning and bioinspired approaches. It analyzes the lack of effectiveness in traditional mitigation strategies and represents new means, based on the use of ensemble learning, dimensionality reduction and hybrid models. Distributed edge infrastructures are specially emphasized on real time implementation, computational overhead and security. this paper attempts to contribute valuable insight for researchers developing robust, scalable, and intelligent edge-based solutions in high-speed networking environments by consolidating recent methodologies and their outcomes.

关键词： Surveys Deep learning High-speed networks Image edge detection Prevention and mitigation Focusing Real-time systems Security Optimization Edge computing

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Design and Research of Wind Speed sensor Based on thin Film thermocouple Technology

Design and Research of Wind Speed Sensor Based on Thin Film ...

引用

sensors and Information Technology (ICSI), international conference on

作者： Yuhan Fang School of Physics and Electronic ScienceHubei normal University China Huangshi China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

this paper conducts an in - depth study on the application potential and challenges of thin - film thermocouples in the field of wind speed measurement. the thermocouple temperature - measurement method is characterized by a wide temperature - measurement range and high accuracy. Nevertheless, its application scope is restricted by a relatively long response time. thin - film thermocouples have garnered extensive attention due to their low thermal capacity and rapid response. However, the uncertainty inherent in thermocouple technology, particularly the confounding of thermoelectric potential with other interference signals, represents the primary challenge in current research. To surmount these challenges, this paper proposes a series of methods, including material optimization, structural design, signal processing, system integration, and testing. through the implementation of these methods, it is anticipated that the working principle and performance characteristics of thin - film thermocouples can be elucidated, thereby providing a more accurate and reliable means for wind speed measurement.

关键词： Temperature measurement Temperature distribution Accuracy Uncertainty Wind speed thermocouples System integration Signal processing Time factors Testing

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Forest Fire Prevention and Detection System

Forest Fire Prevention and Detection System

引用

Power Electronics, Computer Applications (ICPECA), IEEE international conference on

作者： Lasitha Jayakody Chamathka Edirisinghe tharush Senasinghe Shaminda Dissanayake Narmada Gamage Dinithi Pandithage Jaliya L. Wijayaraja Dept. of Computer Systems Engineering Sri Lanka Institute of Information Malabe Sri Lanka

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

Forest fires pose significant threats to both the environment and human life, necessitating the development of advanced detection and prevention systems. In this study, we propose an integrated IoT (Internet of things)-based system for early detection and management of forest fires. the system incorporates a range of sensors including heat, gas, and thermal imaging sensors, along with IoT technology for real-time monitoring and communication. Utilizing image processing techniques and (ML) Machine Learning algorithms, the system can accurately detect fires, predict their spreading patterns, and analyze environmental conditions. Key features include the deployment of disposable heat sensors for temperature monitoring, IoT sensors for gas detection and weather monitoring, and a centralized processing node for data analysis. Alerts are sent to nearby authorities and residents, while automated firefighting devices are activated to suppress fires until backup arrives. Experimental results demonstrate the effectiveness of the proposed system in early detection and prevention of forest fires.

关键词： Temperature sensors Technological innovation Wildfires Prevention and mitigation Forestry sensor phenomena and characterization sensor systems Real-time systems Gas detectors Resilience

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Design, Modelling and Optimization of Vibration based Energy Harvester for Battery Operated Applications

Design, Modelling and Optimization of Vibration based Energy...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： T. Vasudeva Reddy R. Anirudh Reddy G. Akshara B. Raghvendra A. Chandrika Ch. Vinay Dept. of ECE B V Raju Institute of Technology Narsapur Telangana

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

As the demand for energy conservation and power optimization increases, vibration-based piezoelectric energy harvesters have emerged as an effective solution. these harvesters utilize various cantilever beam configurations, including simple, tapered, L-shaped, and U-shaped designs with proof mass, commonly found in industrial machinery. For unimorph beam structures, the ratio of non-piezoelectric to piezoelectric material is set above unity, and a linear dynamic equation is formulated to model the system’s behavior. the electromechanical coupling characteristics—stress distribution, electric field, and electric potential—are analyzed and validated through COMSOL Multiphysics simulations. Among all studied configurations, the unimorph cantilever design generates the highest power and voltage output. this makes it ideal for optimizing energy harvesters in battery-operated applications. By converting ambient vibrations into usable electrical energy, these harvesters power wireless sensor networks, IoT devices, and battery-dependent systems. Additionally, they enhance the operational efficiency and range of electric vehicles by supplying supplementary energy for onboard electronics..

关键词： Vibrations Micromechanical devices Couplings Wireless sensor networks Mathematical models Internet of things Energy harvesting Resonators Optimization Load modeling

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Optimizing Training Hyperparameters for Multilayer Perceptrons in Deep Learning

Optimizing Training Hyperparameters for Multilayer Perceptro...

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Innovative Research in Applied Science, Engineering and Technology (IRASET),conference on

作者： Safaa Echamsi Essadik Belouafi Aziza El Bakali Kassimi Abdelhakim Alali Abdelaziz Bouroumi Asmae Guennoun Information Processing Laboratory Faculty of Sciences Ben M’Sick Hassan II University Casablanca Morocco

ISBN: (数字)9798331532970

ISBN: (纸本)9798331532987

Deep neural networks require an appropriate selection of hyperparameters for their operation. Among these, training hyperparameters, such as the learning rate, batch size, or the parameters of optimization algorithms, play an important role in the models’ convergence, accuracy, and generalization ability. this paper reviews the most influential training hyperparameters in the context of multilayer perceptrons (MLPs). An analysis of recent studies highlights the approaches used to optimize these hyperparameters and their impacts on model performance. Finally, this paper explores current challenges related to the optimization of training hyperparameters and suggests future research directions.

关键词： Training Deep learning Analytical models Accuracy Reviews Artificial neural networks Multilayer perceptrons Optimization Convergence

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Efficient Business Meeting Summarization: Leveraging Natural Language processing for Enhanced Productivity 5th

Efficient Business Meeting Summarization: Leveraging Natural...

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5th international conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, ICMISC 2024

作者： Shanthamalar, J. Jeslin Nithya, S. Kumar, Alle Nithin Chandra, Beraboina Jaya Nancy Noella, R.S. Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai 600119 India

ISBN: (纸本)9789819788644

In the contemporary corporate landscape, efficient utilization of time is paramount for organizational success. Business meetings, a fundamental component of decision-making processes, often result in copious amounts of information exchange. this project aims to streamline and enhance the post-meeting experience through the development of an Automated Business Meeting Summarization system. Additionally, the system employs sentiment analysis to gauge the overall tone and mood of the meeting, providing valuable insights into team dynamics and engagement levels. the project aims to empower organizations with an efficient tool that not only accelerates the decision-making process but also fosters better collaboration and understanding among team members. In contrast, zero-shot Whisper models demonstrate a robustness frontier that includes the 95% confidence interval for human performance. the BART-large-CNN-SAMSum model demonstrates promising performance on the SAMSum summarization dataset, achieving a ROGUE-1 score of 42.621. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Information extraction Language model Machine translation Named entity recognition Speech recognition Text summarization

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