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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101-110 订阅

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Localization from activity sensor data: Poster abstract 20

Localization from activity sensor data: Poster abstract

引用

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

作者： Papst, Franz Stricker, Naomi Saukh, Olga Institute of Technical Informatics Tu Graz Csh Vienna Austria Eth Zürich Switzerland

ISBN: (纸本)9781450375900

In this work, we show that sensor data may leak a sensor's location even if the latter is not explicitly included in the data set. the sensors are localized by linking sensor data, in particular activity data, with publicly available environmental data such as weather data. We show that using a linkage attack a cow can be localized within an entire country with an average accuracy of up to 32.6 km solely from activity traces recorded with a tracker in the cow's stomach. © 2020 acm.

关键词： location privacy sensor data localization

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Channel Tracking for Future Powerline-based Full-Duplex Smart Grid Communication Networks 5

Channel Tracking for Future Powerline-based Full-Duplex Smar...

引用

5th IEEE International conference on Smart systems and Technologies, SST 2022

作者： Korzhun, Vitali Tonello, Andrea M. Institute of Networked and Embedded Systems University of Klagenfurt Austria

ISBN: (数字)9781665482158

ISBN: (纸本)9781665482158

Development trends in Smart Grids are focused on high-speed, reliable, secure, and bidirectional data communication. Power line communication (PLC), as a mature, low cost and reliable communication technology, has a great potential to be used in future Smart Grid networks. Recent research activity in In-band full-duplex (IBFD) for broadband PLC (BB-PLC) makes PLC even more attractive for Smart Grids. IBFD can improve spectral efficiency and data rates of a communication system. However, implementation of IBFD for BB-PLC is highly challenging due to the harsh nature of PLC channels. Besides the necessity of estimation and cancellation of self-interference (SI) signals, it is also essential to track channels and adapt to their changes. this paper compares two channel tracking algorithms suitable for implementing IBFD-enabled 2-by-2 multiple-input multiple-output (MIMO) BB-PLC with an analog interference cancellation (AIC) stage. We compare our approach, which is based on Linear Joint Estimation (LJE), with the classical Least Mean Square (LMS) algorithm. First, we define the optimal values (regions) for the parameters of two algorithms separately for five different channel sets. then, we choose optimized values for each algorithm and use them for further simulations. the tracking ability of the algorithms is evaluated using the average error vector magnitude (AEVM) and the power of the residual self-interference (RSI). Both algorithms show similar performance in the analyzed 2x2 MIMO channel sets;however, the LJE algorithm is less sensitive to the wrong selection of parameters with the respect to the optimal ones. © 2022 IEEE.

关键词： Smart power grids

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A sensor-based application for road conditions detection: Poster abstract 20

A sensor-based application for road conditions detection: Po...

引用

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

作者： Sitanayah, Lanny Angdresey, Apriandy Kristalino, Evander Dept. of Informatics Engineering Universitas Katolik de la Salle Manado Indonesia

ISBN: (纸本)9781450375900

Road conditions affect the safety of road users as potholes may cause traffic accidents. We design and implement a sensor-based application for road conditions detection. the sensor device includes a GPS NEO-6M module to get the pothole locations and an MPU-92/65 module as accelerometer and gyroscope sensor, which are attached to a NodeMCU ESP8266. We use REST API as the web service to connect the sensor device and users, who will access the information using the Android application on their smartphones. To cluster the acquired data, we use the k-means clustering algorithm. the algorithm clusters data into deep, medium and shallow potholes. © 2020 acm.

关键词： Roads and streets

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embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform

Embedded neuromorphic attention model leveraging a novel low...

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IEEE International conference on Artificial Intelligence Circuits and systems (AICAS)

作者： Amélie Gruel Alfio di Mauro Robin Hunziker Luca Benini Jean Martinet Michele Magno i3S / CNRS Université Côte d’Azur Sophia Antipolis France Department of Information Technology and Electrical Enginering ETH Zürich Zürich Switzerland

Neuromorphic computing has been identified as an ideal candidate to exploit the potential of event-based cameras, a promising sensor for embedded computer vision. However, state-of-the-art neuromorphic models try to maximize the model performance on large platforms rather than a trade-off between memory requirements and performance. We present the first deployment of an embedded neuromorphic algorithm on Kraken, a low-power RISC-V-based SoC prototype including a neuromorphic spiking neural network (SNN) accelerator. In addition, the model employed in this paper was designed to achieve visual attention detection on event data while minimizing the neuronal populations’ size and the inference latency. Experimental results show that it is possible to achieve saliency detection in event data with a delay of 32ms, maintains classification accuracy of 84.51% and consumes only 3.85mJ per second of processed input data, achieving all of this while processing input data 10 times faster than real-time. this trade-off between decision latency, power consumption, accuracy, and run time significantly outperforms those achieved by previous implementations on CPU and neuromorphic hardware.

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M5: Facilitating Multi-User Volumetric Content Delivery with Multi-Lobe Multicast over mmWave 22

M5: Facilitating Multi-User Volumetric Content Delivery with...

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

作者： Ding Zhang Puqi Zhou Bo Han Parth Pathak George Mason University

ISBN: (纸本)9781450398862

Multi-user volumetric content delivery can enable numerous appealing applications, such as online education, telehealth, multiuser AR/VR training, immersive collaborative analytics, etc. However, the bandwidth-intensive nature of volumetric video streaming makes existing systems for single-user experiences hard to scale to multi-user scenarios. To address this critical issue, in this paper, we first perform a scaling experiment on mmWave networks that offer the needed multi-Gbps throughput and identify two key challenges of streaming high-quality volumetric videos to multiple users: frequent blockages of mmWave links and high transmission redundancy among users. To solve these problems, we propose a first-of-its-kind, agile, and cross-layer system, dubbed M5, for improving the performance and quality of experience for multi-user volumetric video streaming. M5 utilizes the 6DoF motion prediction of users to proactively adapt mmWave beams and prefetch frames to mitigate the blockage effects. Furthermore, it takes advantage of the multicast transmission to deliver the overlapped common content within users' viewports to reduce the bandwidth requirement. Our extensive experiments on a real testbed and with a trace-driven simulator show that M5 can effectively improve the frame rate by 44.1% and volumetric video quality by 62.3% compared to the state-of-the-art system.

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Magnetic sensor based indoor positioning by multi-channel deep regression: Poster abstract 20

Magnetic sensor based indoor positioning by multi-channel de...

引用

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

作者： Antsfeld, Leonid Chidlovskii, Boris Borisov, Dmitrii Naver Labs Europe France Grenoble Alpes University France

ISBN: (纸本)9781450375900

Modern smartphones are equipped with built-in magnetometers that capture disturbances of the Earth's magnetic field induced by ferromagnetic objects. In indoor environment, using magnetic field data turns to be a strong alternative to conventional localization techniques as requiring no special infrastructure. We revise the state of the art methods based on landmark classification [5] and propose a novel approach. We represent magnetic data time series as image sequences and compose multi-channel input to a deep neural network. We use four methods, Recurrence plots, Gramian Angular Fields and Markov Transition Fields, to capture different patterns in magnetic data stream. We complete the landmark-based classification with deep regression on the user's position and combine convolutional and recurrent layers in the deep network. We evaluate our methods on the recently published MagPie dataset [3] and show that they outperform the state of the art methods. © 2020 acm.

关键词： Indoor positioning systems

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Real-time reassurance monitoring shopping basket in retail store: Poster abstract 20

Real-time reassurance monitoring shopping basket in retail s...

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

作者： Yamazaki, Azusa Akatsu, Ryo Okada, Yukihiko Zempo, Keiichi University of Tsukuba Tsukuba Japan

ISBN: (纸本)9781450375900

In this study, we propose a sensor network to estimate service reassurance in a store by estimating customer stress level based on a pulse wave. We developed a basket that can calculate an RR interval (RRI) with sufficient accuracy to estimate customer reassurance from the measured pulse wave under in-store conditions. Two processes were applied to the measurement values based on the assumption that certain circumstances may interfere with measuring pulse waves. Furthermore, the authors conducted pulse wave measurement experiments under simulated store conditions. the results showed RRIs' values with an error rate of 4.9% compared to the true value. © 2020 acm.

关键词： sensor networks

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From Participatory Sensing to Public-Private Partnership: the Development of AirBox Project in Taiwan 22

From Participatory Sensing to Public-Private Partnership: Th...

引用

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

作者： Ming-Kuang Chung Fu-Shiang Ching Ling-Jyh Chen Academia Sinica Taipei Taiwan

ISBN: (纸本)9781450398862

A complete sensor network should include sensors, data processing, and data services. However, to establish the legitimacy of sensor data for urban governance, sensor networks should go beyond simple deployment of sensors in the built environment and strive for deeper integration of data services within civil society. this paper presents the Taiwan AirBox Project as an exemplary case of practical deployment of a sensor network to discuss the topics of open data, value-added services, and joint calibration services; as well as how these services generate productive public-private *** AirBox project adopted a strategy of combining open-source hardware, flexible database API, multiple value-added data services, and open-joint calibration to gradually enhance the data quality. the results suggested that: 1. open hardware and open source software are keys to expanding the deployment of the sensor network; 2. open data and diverse value-added services enhance the public's environmental awareness and advocacy; 3. the open joint-calibration system helps connect government policy formulation with public environmental *** addition, the AirBox project demonstrates the feasibility of a democratized deployment strategy. "Openness" serves as the foundation for mutual trust, communication, cooperation, and co-creation among stakeholders involved in the deployment process.

关键词： open joint-calibration system AirBox sensor network deployment participatory sensing

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Visual and inertial sensor fusion for mobile X-ray detector tracking: Demo abstract 20

Visual and inertial sensor fusion for mobile X-ray detector ...

引用

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

作者： Zhao, Yang Tkaczyk, Eric Pan, Feng Ge Research NiskayunaNY United States Spark Insights BostonMA United States

ISBN: (纸本)9781450375900

Robust 3D pose tracking of an object is a critical technique for various mobile sensing applications. Computer vision-based pose tracking method provides a cost-effective solution, but it is sensitive to occlusion and illumination change issues. In this work, we propose a novel visual-inertial sensor fusion framework and demonstrate the real-time implementation of a tightly-coupled sensor fusion algorithm: inertial perspective-n-point (IPNP) algorithm. With measurements from an inertial measurement unit (IMU), the prototype system only needs to detect two keypoints to track all six degrees of freedom of a planar object, e.g., a mobile X-ray detector, a 50% reduction on required number of keypoints, compared with the vision-based perspective-n-point algorithm. © 2020 acm.

关键词： Cost effectiveness

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IoT-Assisted Gesture-to-Audio Conversion System for Enhancing Accessibility in Speech-Impaired Users

IoT-Assisted Gesture-to-Audio Conversion System for Enhancin...

引用

India Council International Subsections conference (INDISCON), IEEE

作者： Upasana Pandey Vanshika Kumar Shanu Kaushik Meena Kumari Department of CSE (AI/IoT) ABES Institute of Technology Ghaziabad India Department of CSE (IoT) ABES Institute of Technology Ghaziabad India

ISBN: (数字)9798350376753

ISBN: (纸本)9798350376760

In the realm of technology, understanding and catering to the needs of diverse user groups through empathy is paramount. People with speech impairments encounter significant communication hurdles daily, often finding it challenging to effectively express their thoughts and emotions. As a solution, this article presents a groundbreaking innovation: IoT-enabled intelligent gloves tailored specifically for individuals with speech impediments. these gloves make use of embedded systems and IoT technology to interpret hand movements and convert them into spoken words or text, thereby facilitating smooth communication. this is achieved through intuitive gesture recognition algorithms and customizable features that cater to individual preferences. By leveraging IoT connectivity, users can seamlessly interact with other smart devices, broadening the range of communication options available to them. this article delves into the technical aspects of the glove’s design, encompassing sensor integration, data processing algorithms, and connectivity protocols. Furthermore, it explores the potential impact of such technology on the lives of speech-impaired users, underscoring the significance of empathy in shaping inclusive technological solutions.

关键词： Technological innovation Protocols embedded systems Gesture recognition Converters Data processing Smart devices

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