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检索条件"任意字段=5th ACM Conference on Embedded Networked Sensor Systems"

共 1274 条记录，以下是121-130 订阅

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Fall Detection Technique for Older Individuals based on Deep Layered Neural Networks embedded with Transfer Learning

Fall Detection Technique for Older Individuals based on Deep...

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International conference on Smart systems and Inventive Technology (ICSSIT)

作者： J. Deepika J. Akilandeswari Department of Information Technology Sona College of Technology

the vital priority of the society is to render helping hand to most fragile category of people such as older individuals, neurogenerative disease affected patients, etc. to lead their normal routine social life being physically active without lowering their quality of life and not losing their autonomy. As ageing progress, the elderly adults experience falls and those consequences lead to lesser quality of life due to the injuries occurred L this further adds to the fear of falling and reduced physical activity. the first solution of protection against the negative effects of falling is to identify fragility and high fall risk at an early stage. the development of novel techniques to identify potential fallers before any fall occurs would be the second solution of protection. the Artificial lntelligence (AD technique is used to examine and prevent falls from the signal-hised image gathered from the gyroscope or the accelerometer sensor information. the several layers of convolutional neural network are used with different dilation rates for extracting different categories of feature selection. the performance evaluation hised on the experimental results on the signal image dataset proves higher accuracy of classification rate.

关键词： Accelerometers Training Time-frequency analysis Computational modeling Transfer learning Wavelet analysis Feature extraction

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Exploring effectiveness of a predictive light control mechanism for wireless sensor networks: Poster abstract 20

Exploring effectiveness of a predictive light control mechan...

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18th acm conference on embedded networked sensor systems, SenSys 2020

作者： Takayama, Yuki Yokota, Yusuke Japan Women's University Graduate School of Science Tokyo Japan Japan Women's University Faculty of Science Tokyo Japan

ISBN: (纸本)9781450375900

Light management for buildings or streets is important for safety, security and comfort. However, it is not economical to keep the lights on in places without people. Although there is a lighting system with power-saving feature that lights up automatically when it detects moving objects, it has a problem that it does not light up unless the objects approach the immediate vicinity of the lights. In this work, we aim to realize the system that collects motion detection data of objects using a wireless sensor network, predicts the approach of a person from a position farther than before, and appropriately controls lighting on / off. In this system, data is exchanged between neighboring nodes, and each node autonomously judges lighting control. We discussed a predictive control method and made experiments for an adequacy confirmation. First, we constructed a system to verify the predictive control method and made a data acquisition experiment using PIR motion sensors. Next, we examined methods for a movement prediction and lighting control based on the acquired data, and confirmed that control results provide sufficient utility. © 2020 acm.

关键词： sensor nodes

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Development of a Solar-Powered embedded System for Waste Management In Rural Communities

Development of a Solar-Powered Embedded System for Waste Man...

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IEEE International conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Funsho Michael Martins Jonathan Gana Kolo Michael Olaitan Ibitoye Paul Oritseweyimi Omagbemi Electrical and Electronics Engineering Department Federal University of Technology Minna Niger State Nigeria Computer Engineering Department Federal University of Technology Minna Niger State Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Waste disposal remains a significant challenge globally, with most smart waste management systems focusing on urban areas. However, rural communities have been largely overlooked in these innovations, necessitating targeted solutions for effective waste management in these underserved regions. this research presents a smart waste management embedded system designed for rural communities. the system uses an Arduino Nano development board integrated with sensors, actuators, and a communication module within a waste bin. Ultrasonic sensors detect object proximity and content levels in the bin. A servo motor opens or closes the lid based on object distance and fullness. A SIM800L GSM module, operating on a 2G network, sends text messages to the waste management organization when the bin is full. the system was powered by a 12V solar panel and a 9V Lithium-Ion battery, ensuring reliable operation in areas with unstable electricity. To address delayed pickups, two bins were stationed at the exact location. the system was tested in Gidan Kwano Village of Niger State, Nigeria, where it showed response times of 5.67 seconds in areas with strong signal strength, 14.87 seconds with average network strength, and 83.47 seconds with poor signal strength. the results indicate that the system is effective and sustainable for rural communities, improving waste disposal and supporting economic growth.

关键词： GSM Economics embedded systems Electricity Web and internet services Urban areas sensor systems Time factors Waste disposal Intelligent sensors

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Multi-Task Learning Based Blind Calibration for Low-Cost Air Quality sensor Deployments 22

Multi-Task Learning Based Blind Calibration for Low-Cost Air...

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Proceedings of the 20th acm conference on embedded networked sensor systems

作者： Guodong Li Zhiyuan Wu Xinyu Liu Yue Wang Lin Zhang Tsinghua University

ISBN: (纸本)9781450398862

Air pollution problem has caught much attention globally. In addition to the national air quality monitoring stations deployed by the government, the number of low-cost air quality sensors increases rapidly as a supplement to support fine-grained monitoring. In-field calibration methods are necessary for these low-cost sensor nodes to assure the data quality. However, it is costly to collect enough reference data after deployment to train the in-field calibration model and many sensors even have no synchronized reference in the real application scenarios. To address the above challenge, we propose a multi-task learning based blind calibraiton method for air quality sensors after deployments. Our method introduces not only the reference data of the target location to formulate calibration task, but also reference measurements collected from highly accurate stations already deployed by the government in other geographical locations to formulate prediction task. To utilize the reference measurements which are not in the same location with our target sensors, e.g., in other cities, we combine the proposed calibration task and prediction task under a multi-task learning scheme. the introduced references in other locations alleviate our few-reference challenge. Furthermore, we elaborate on the choices of different tasks to have better effect of the target calibraiton task. Evaluations on the real-world collected datasets show that our proposed algorithm has better calibraiton effect.

关键词： multi-task learning air quality blind calibration

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Fishing activity sensing and visualization system using sensor-equipped fishing rod: Demo abstract 20

Fishing activity sensing and visualization system using sens...

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18th acm conference on embedded networked sensor systems, SenSys 2020

作者： Fukuda, Shuichi Choi, Hyuckjin Matsuda, Yuki Yasumoto, Keiichi Nara Institute of Science and Technology Ikoma Nara Japan

ISBN: (纸本)9781450375900

In recent years, many studies and development of Cyber Physical systems (CPS) have been carried out to feed back analysis results to human users in a physical space by using machine learning, aiming to analyze a huge amount of information obtained from physical space in a cyber space. To apply CPS to sports, a lot of studies have been conducted on sensing and recognizing actions and movements of athletes using machine learning. In this study, we focus on fishing as a sport, and propose a fishing CPS that recognizes anglers' actions in real-time and provides information on the past useful actions that are linked to fishing results depending on time and place as a decision support when the anglers do not make catch. In addition, this paper reports on the development of an IoT (Internet of things) device that acquires positional information, acceleration and gyroscope information, and a web system that displays results of real-time activity recognition along with the place and time by animation for realizing the fishing CPS. We have evaluated the developed IoT device and web system from the viewpoint of practical use. As a result, we have confirmed that the GPS and acceleration sensors, in the actual breakwater environment, were constantly transmitting data to a server via UDP communication for 4 hours and 40 minutes. © 2020 acm.

关键词： Internet of things

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Stochastic model of a sensor node 5th

Stochastic model of a sensor node

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5th International conference on Computing in Engineering and Technology, ICCET 2020

作者： Kallimani, Rakhee Pai, Krishna Rasane, Krupa KLE Dr. M.S. Sheshgiri College of Engineering and Technology Belagavi India Jain College of Engineering and Technology Belagavi India

ISBN: (纸本)9789811548505

the emerging area for researchers in the field of power concern embedded system is wireless sensor network (WSN) to develop a platform capable of analyzing and controlling the power behavior of low power embedded system and achieve high performance in terms of battery life. In recent days, the embedded systems use ultra-low powered hardware components at the node level, yet there is a need to analyze the consumption of power in sensor node and performance of the complete network. this motivates us to provide a power analyzer unit on the wireless sensor node based on stochastic process that can be used to monitor, analyze and control the node energy by switching to low power down modes or turn off other peripherals and improve the lifetime of a node. the mathematical model for power consumption and lifetime is developed to observe the effect of proposed system using stochastic approach. this paper presents simulation results that are evident to improve the battery lifetime of a node by operating the node at low power states using dynamic power management schemes. © Springer Nature Singapore Pte Ltd 2021.

关键词： Electric power utilization

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Smart Temperature Monitoring System with GPS Integration for Pharmaceutical Safety

Smart Temperature Monitoring System with GPS Integration for...

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

作者： Sujan S Naveen N Anuprabha S S Vijendra Babu D School of Electronics Engineering Vellore Institute of Technology Vellore Tamil Nadu India Dept. of Embedded Technology School of Electronics Engineering Vellore Institute of Technology Vellore Tamil Nadu India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

the Temperature monitoring procedure relies on an Arduino Uno Microcontroller to perform accurate real-time temperature monitoring operations. It is paired with a temperature sensor which operates as a low-cost solution for different environments. the device shows real-time temperature data on an OLED screen that delivers easily read able critical temperature readings through high-contrast display while consuming minimal power. this paper proposes a system which allows users to set custom temperature threshold levels that automatically activate warning alerts when measurements reach those preselected values to boost security applications. A Bluetooth module was integrated into the system to enable smartphone-based data transmission which allows users to monitor temperatures from their mobile phones through an application. this paper demonstrates how Arduino-based systems handle real-time temperature monitoring by providing dependable affordable solutions for temperature monitoring control and remote function control.

关键词： Temperature sensors Temperature measurement Temperature distribution Temperature dependence Bluetooth Real-time systems Temperature control Security Monitoring Pharmaceuticals

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LidarPhone: Acoustic eavesdropping using a lidar sensor: Poster abstract 20

LidarPhone: Acoustic eavesdropping using a lidar sensor: Pos...

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18th acm conference on embedded networked sensor systems, SenSys 2020

作者： Sami, Sriram Tan, Sean Rui Xiang Dai, Yimin Roy, Nirupam Han, Jun National University of Singapore Singapore University of Maryland College Park United States

ISBN: (纸本)9781450375900

Private conversations are an attractive target for malicious actors intending to conduct audio eavesdropping attacks. Previous works discovered unexpected vectors for these attacks, such as analyzing high-speed video of objects adjacent to sound sources, or using WiFi signal information. We propose LidarPhone, a novel side-channel attack that exploits the lidar sensors in commodity robot vacuum cleaners to perform acoustic eavesdropping attacks. LidarPhone is able to detect the minute vibrations induced on objects that are near audio sources, and extract meaningful signals from inherently noisy raw lidar returns. We evaluate a realistic scenario for potential victims: recovering privacy-sensitive digits (e.g., credit card numbers, social security numbers) emitted by computer speakers during teleconferencing calls. We implement LidarPhone on a Xiaomi Roborock vacuum cleaning robot and perform a comprehensive series of real-world experiments to determine its performance. LidarPhone achieves up to 91% accuracy for digit classification. © 2020 acm.

关键词： Security systems

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Vision-based fall detection and prevention for the elderly people: A review ongoing research 5

Vision-based fall detection and prevention for the elderly p...

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5th International conference on Intelligent Computing in Data Sciences, ICDS 2021

作者： Guendoul, Oumaima Hamd, Ait Abdelali Youness, Tabii Rachid, Oulad Haj thami Omar, Bourja Mohammed v University ADMIR Lab National School of Computer Science and Systems Analysis ENSIAS Rabat10000 Morocco MAScIR Embedded Systems and Artificial Intelligence Department Rabat10000 Morocco

ISBN: (纸本)9781665442381

Falls are the most leading cause of accidental injury deaths worldwide, therefore, it poses a real challenge for the prevention of life-threatening conditions in geriatrics. the most damaged community is the ever-growing aging population. For this reason, there are considerable demands to distinguish a dangerous posture such as fall in real-time. Here we provide a literature review of conducted work on elderly fall detection and prediction mentioning the main methods to recognize human posture including computer vision-based and wearable sensor-based. We approached these perspectives: sensor fusion, Datasets, approaches proposition. In conclusion, our survey summarizes the progress achieved in the five past years to help the researchers in this field to spot areas where further effort would be beneficial and innovative. © 2021 IEEE.

关键词： Computer vision

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Integrating a GIS Enhanced Security System in Wireless sensor Networks (WSN): A Geospatial Deployment Approach 5th

Integrating a GIS Enhanced Security System in Wireless Senso...

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5th Latin American conference on Geographical Information systems, GIS-LATAM 2024

作者： Aguilar-Cristo, Alfredo Antonio Martínez-Ramírez, Daniel Sergio Makita-Balcorta, Tanya Gabriela Toral-Cruz, Homero Troncoso-Romero, David Ernesto León-Borges, José Antonio Universidad Autónoma del Estado de Quintana Roo Campus Cancún Av. Chetumal SM 260 Cancún Mexico

ISBN: (纸本)9783031800160

Nowadays, the gathered information from in-situ Wireless sensor Networks (WSNs) over embedded systems is a crucial issue because WSNs offer details on the variables of interest for field researchers. these WSNs have been integrated into a Geographic Information System (GIS) to measure PH, temperature, light, and ultraviolet rays inside the cavern and the water in urban Cenotes in Cancun, Quintana Roo. It is important to consider the integrity of the information obtained from WSNs, and the security and protection of the WSN system. As mentioned, any WSN connects to different networking devices such as mobile users, central computers, remote database servers, and the Cloud. WSN uses the mobile technology GSM/GPRS to send information about research variables of interest to these devices. Because of the WSN connectivity to the Internet is possible by a mobile telephony module to send data sensor data into a remote database manager server, typically based on a Raspberry Pi 3 computer. this experimental embedded Network Security System (ENSS) offers a cybersecurity solution to protect mobile users, central computers, remote database servers, and the Cloud from any direct attack against the WSN, especially the Rasp-berry Pi 3 computer. therefore, as a scope, we present the deployment of a real-time ENSS on a Raspberry Pi 3 computer using security protocols through a Virtual Private Network (VPN), Secure Shell (SSH), and a Firewall as well to protect in-situ data from potential cybernetic attacks. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Computer system firewalls

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