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检索条件"任意字段=Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems"

共 791 条记录，以下是101-110 订阅

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SmrtFridge: IoT-based, User Interaction-Driven Food Item & Quantity Sensing 19

SmrtFridge: IoT-based, User Interaction-Driven Food Item & Q...

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17th acm conference on embedded networked sensor systems (SenSys)

作者： Sharma, Amit Misra, Archan Subramaniam, Vengateswaran Lee, Youngki Singapore Management Univ Singapore Singapore Seoul Natl Univ Seoul South Korea

ISBN: (纸本)9781450369503

We present SmrtFridge, a consumer-grade smart fridge prototype that demonstrates two key capabilities: (a) identify the individual food items that users place in or remove from a fridge, and (b) estimate the residual quantity of food items inside a refrigerated container (opaque or transparent). Notably, both of these inferences are performed unobtrusively, without requiring any explicit user action or tagging of food objects. To achieve these capabilities, SmrtFridge uses a novel interaction-driven, multi-modal sensing pipeline, where Infrared (IR) and RGB video sensing, triggered whenever a user interacts naturally with the fridge, is used to extract a foreground visual image of the food item, which is then processed by a state-of-the-art DNN classifier. Concurrently, the residual food quantity is estimated by exploiting slight thermal differences, between the empty and filled portions of the container. Experimental studies, involving 12 users interacting naturally with 19 common food items and a commodity fridge, show that SmrtFridge is able to (a) extract at least 75% of a food item's image in over 97% of interaction episodes, and consequently identify the individual food items with precision/recall values of similar to 85%, and (b) perform robust coarse-grained (3 level) classification of the residual food quantity with an accuracy of similar to 75%.

关键词： Internet of things (IoT) smart fridge IR sensor food recognition

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proceedings of the 14th acm conference on embedded networked sensor systems, SenSys 2016

Proceedings of the 14th ACM Conference on Embedded Networked...

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14th acm conference on embedded networked sensor systems, SenSys 2016

ISBN: (纸本)9781450342636

the proceedings contain 69 papers. the topics discussed include: robust, low-cost, auditable random number generation for embedded system security;from physical to cyber: escalating protection for personalized auto insurance;Staffetta: smart duty-cycling for opportunistic data collection;empirical validation of commodity spectrum monitoring;battery-free identification token for touch sensing devices;Nutrilyzer: a mobile system for characterizing liquid food with photoacoustic effect;SurePoint: exploiting ultra wideband flooding and diversity to provide robust, scalable, high-fidelity indoor localization;tackling the redundancy and sparsity in crowd sensing applications;sparsification and separation of deep learning layers for constrained resource inference on wearables;Monoxalyze: verifying smoking cessation with a keychain-sized carbon monoxide breathalyzer;tooth brushing monitoring using wrist watch;amulet: an energy-efficient, multi-application wearable platform;CScrypt - a compressive-sensing-based encryption engine for the internet of things;rocketlogger - mobile power logger for prototyping IoT devices;the amulet wearable platform;visible light localization using incumbent light fixtures;and Talos a platform for processing encrypted IoT data.

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SenseHAR: A Robust Virtual Activity sensor for Smartphones and Wearables 19

SenseHAR: A Robust Virtual Activity Sensor for Smartphones a...

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17th acm conference on embedded networked sensor systems (SenSys)

作者： Jeyakumar, Jeya Vikranth Lai, Liangzhen Suda, Naveen Srivastava, Mani Univ Calif Los Angeles Los Angeles CA 90095 USA Arm Inc San Jose CA USA

ISBN: (纸本)9781450369503

Modern smartphones and smartwatches are equipped with inertial sensors (accelerometer, gyroscope, and magnetometer) that can be used for Human Activity Recognition (HAR) to infer tasks such as daily activities, transportation modes and, gestures. HAR requires collecting raw inertial sensor values and training a machine learning model on the collected data. the challenge in this approach is that the models are trained for specific devices and device configurations whereas, in reality, the set of devices carried by a person may vary over time. Ideally, one would like activity inferencing to be robust of this variation and provide accurate predictions by making opportunistic use of information from available devices. Moreover, the devices may be located at different parts of the body (e.g. pocket, left and right wrist), may have different sets of sensors (e.g. a smartwatch may not have gyroscope while a smartphone might), and may differ in sampling frequencies. In this paper, we provide a solution which makes use of the information from available devices while being robust to their variations. Instead of training an end-to-end model for every permutation of device combinations and configurations, we propose a scalable deep learning based solution in which each device learns its own sensor fusion model that maps the raw sensor values to a shared low dimensional latent space which we call the 'SenseHAR'-a virtual activity sensor. the virtual sensor has the same format and similar behavior regardless of the subset of devices, sensor's availability, sampling rate, or a device's location. this would help machine learning engineers to develop their application specific (e.g., from gesture recognition to activities of daily life) models in a hardware-agnostic manner based on this virtual activity sensor. Our evaluations show that an application model trained on SenseHAR achieves the state of the art accuracies of 95.32%, 74.22% and 93.13% on PAMAP2, Opportunity(gestures) and

关键词： Human Activity Recognition sensor Fusion Deep Learning

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Age-of-Information vs. Value-of-Information Scheduling for Cellular networked Control systems 19

Age-of-Information vs. Value-of-Information Scheduling for C...

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10th acm/IEEE International conference on Cyber-Physical systems (ICCPS)

作者： Ayan, Onur Vilgelm, Mikhail Kluegel, Markus Hirche, Sandra Kellerer, Wolfgang Tech Univ Munich Chair Commun Networks Munich Germany Tech Univ Munich Chair Informat Oriented Control Munich Germany

ISBN: (纸本)9781450362856

Age-of-Information (AoI) is a recently introduced metric for network operation with sensor applications which quantifies the freshness of data. In the context of networked control systems (NCSs), we compare the worth of the AoI metric with the value-of-information (VoI) metric, which is related to the uncertainty reduction in stochastic processes. First, we show that the uncertainty propagates non-linearly over time depending on system dynamics. Next, we define the value of a new update of the process of interest as a function of AoI and system parameters of the NCSs. We use the aggregated update value as a utility for the centralized scheduling problem in a cellular NCS composed of multiple heterogeneous control loops. By conducting a simulative analysis, we show that prioritizing transmissions with higher VoI improves performance of the NCSs compared with providing fair data freshness to all sub-systems equally.

关键词： networked Control systems Cyber-Physical Networking Age-of-Information Value-of-Information

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HiPR: High-Precision UWB Ranging for sensor Networks 19

HiPR: High-Precision UWB Ranging for Sensor Networks

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22nd acm International conference on Modeling, Analysis and Simulation of Wireless and Mobile systems (acm MSWiM)

作者： Neuhold, Daniel Bettstetter, Christian Molisch, Andreas F. Univ Klagenfurt Inst Networked & Embedded Syst Klagenfurt Austria Univ Southern Calif Viterbi Sch Engn Los Angeles CA 90007 USA

We present a distance estimation technique based on ultra-wideband time-of-arrival measurements and assess it with IEEE 802.15.4-2011 devices by Decawave. Experiments show that our technique is about 30 times faster t... 详细信息

ISBN: (纸本)9781450369046

关键词： ultra-wideband UWB ranging localization

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Detailed recording and emulation of spatiooral energy environments with shepherd: Demo abstract 17

Detailed recording and emulation of spatiooral energy enviro...

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17th acm conference on embedded networked sensor systems, SenSys 2019

作者： Geissdoerfer, Kai Chwalisz, Mikolaj Zimmerling, Marco TU Dresden Networked Embedded Systems Lab Germany TU Berlin Telecommunication Networks Group Germany

ISBN: (纸本)9781450369503

Collaboration of batteryless nodes is essential to their success in replacing traditional battery-based systems. this abstract describes a demonstration of the recently proposed Shepherd testbed that allows to record and reproduce spatiooral characteristics of real energy environments. It consists of a number of spatially distributed Shepherd nodes that are tightly time-synchronized with each other and record synchronized energy traces with a resolution of 3 µA and 50 µV at a rate of 100 kHz. Additionally, Shepherd can faithfully replay these traces to any number of nodes to study their behavior, both individually and as an ensemble. Shepherd works with various sources of energy harvesting, such as kinetic or solar, is based on a modular design and provides a generic interface for sensor nodes allowing users to experiment with new platforms. © 2019 Authors.

关键词： Energy harvesting

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SenSys-ML 2019 - proceedings of the 1st Workshop on Machine Learning on Edge in sensor systems, Part of SenSys 2019

SenSys-ML 2019 - Proceedings of the 1st Workshop on Machine ...

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1st acm/IEEE International Workshop on Machine Learning on Edge in sensor systems, SenSys-ML 2019, held in conjunction with the 17th acm conference on embedded networked sensor systems, SenSys 2019

ISBN: (纸本)9781450370110

the proceedings contain 7 papers. the topics discussed include: emotion filtering at the edge;kingfisher: an industrial security framework based on variational autoencoders;GazeFCW: filter collision warning triggers by detecting driver's gaze area;efficient sparse processing in smart home applications;embedded deep inference in practice: case for model partitioning;skipping RNN state updates without retraining the original model;and finding dory in the crowd: detecting social interactions using multi-modal mobile sensing.

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Getting More Out of Energy-harvesting systems: Energy Management under Time-varying Utility with PREACT 18

Getting More Out of Energy-harvesting Systems: Energy Manage...

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18th acm/IEEE International conference on Information Processing in sensor Networks (IPSN)

作者： Geissdoerfer, Kai Jurdak, Raja Kusy, Brano Zimmerling, Marco Tech Univ Dresden Networked Embedded Syst Lab Dresden Germany CSIRO Distributed Sensing Syst Grp Canberra ACT Australia

ISBN: (纸本)9781450362849

Careful energy management is a prerequisite for long-term, unattended operation of solar-harvesting sensing systems. We observe that in many applications the utility of sensed data varies over time, but current energy-management algorithms do not exploit prior knowledge of these variations for making better decisions. this paper presents PREACT, the first energy-management algorithm that exploits time-varying utility to optimize application performance. PREACT's design combines strategic long-term planning of future energy utilization with feedback control to compensate for deviations from the expected conditions. We implement PREACT on a low-power microcontroller and compare it against the state of the art on multiple years of real-world data. Our results demonstrate that PREACT is up to 53 % more effective in utilizing harvested solar energy and significantly more robust to uncertainties and inefficiencies of practical systems. these gains translate into an improvement of 28 % in the end-to-end performance of a real-world application we investigate when using PREACT.

关键词： Energy management Energy allocation Energy harvesting Dynamic power management Solar power Energy prediction

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Reducing synchronization error in wireless sensor nodes by using previous timing information as training data: Poster abstract 19

Reducing synchronization error in wireless sensor nodes by u...

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17th acm conference on embedded networked sensor systems, SenSys 2019

作者： Asgarian, Farzad Najafi, Khalil University of Michigan Ann Arbor United States

ISBN: (纸本)9781450369503

Many wireless sensor networks benefit from one type of time synchronization protocols. However, due to different crystal oscillators and clock sources in the nodes, even with drift-management techniques, synchronization error starts increasing fast after a few to tens of seconds. To keep the error low in minute-long sessions, typically the master transmits packets periodically to reset the error. these extra packets increase power consumption of all nodes especially in long sessions. Here, we propose AdaptSync that uses the timing/error information of a short period of time at the beginning of a session to reduce the error in the rest of the session independent of the master. Implementation steps are discussed and tested on sensor nodes that use Bluetooth as the wireless link. Experimental results show that in 10-minute long sessions, average synchronization error is reduced 7x compared to normal synchronization. © 2019 Authors.

关键词： Synchronization

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Two-phase dissemination scheme for CoAP-based firmware-over-the-air update of wireless sensor networks: Demo abstract 19

Two-phase dissemination scheme for CoAP-based firmware-over-...

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17th acm conference on embedded networked sensor systems, SenSys 2019

作者： Park, Huiung Kim, Haeyong Kim, Seon-Tae Mah, Pyeongsoo Lim, Chaedeok UST ETRI School Daejeon Korea Republic of ETRI Future Computing Research Division Daejeon Korea Republic of

ISBN: (纸本)9781450369503

Firmware Over-the-Air (FOTA) update technology is required to keep the software of the massively deployed Wireless sensor Network (WSN) devices up to date. However, when there are many nodes in a WSN and the cellular network connects the server and the WSN, the traditional method of transferring data directly from the server to the end node can be costly. We propose a Two-Phase FOTA Dissemination Scheme to address the communication cost problem by reducing traffic between WSN and external networks. this demonstration shows that the two-phase update reduces traffic between the external network and the WSN. © 2019 Authors.

关键词： Internet of things

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