检索结果-内蒙古大学图书馆

IEEE International Conference on Pervasive Computing and Communications (PerCom)

作者： Muhammad Moid Sandhu Kai Geissdoerfer Sara Khalifa Raja Jurdak Marius Portmann Brano Kusy School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia Networked Embedded Systems Lab TU Dresden Germany Data61 Commonwealth Scientific and Industrial Research Organization (CSIRO) Australia School of Electrical Engineering and Computer Science Queensland University of Technology Brisbane Australia

ISBN: (数字)9781728146577

ISBN: (纸本)9781728146584

Conventional systems for motion context detection rely on batteries to provide the energy required for sampling a motion sensor. Batteries, however, have limited capacity and, once depleted, have to be replaced or recharged. Kinetic Energy Harvesting (KEH) allows to convert ambient motion and vibration into usable electricity and can enable batteryless, maintenance free operation of motion sensors. The signal from a KEH transducer correlates with the underlying motion and may thus directly be used for context detection, saving space, cost and energy by omitting the accelerometer. Previous work uses the open circuit or the capacitor voltage for sensing without using the harvested energy to power a load. In this paper, we propose to use other sensing points in the KEH circuit that offer information-rich sensing signals while the energy from the harvester is used to power a load. We systematically analyze multiple sensing signals available in different KEH architectures and compare their performance in a transport mode detection case study. To this end, we develop four hardware prototypes, conduct an extensive measurement campaign and use the data to train and evaluate different classifiers. We show that sensing the harvesting current signal from a transducer can be energy positive, delivering up to ten times as much power as it consumes for signal acquisition, while offering comparable detection accuracy to the accelerometer signal for most of the considered transport modes.

关键词： Kinetic Energy Harvester Wearables IoT Context Detection Energy Positive Sensing Sensing Points Signals signals Energy sources Wearable Kinetics motion sensor capacitor voltage harvesters Batteries LOAD kinetic energy Transducers current signal signal acquisition

来源：评论

学校读者我要写书评

暂无评论

FLAG: A framework for FPGA-based LoAd generation in profinet communication

arXiv

引用

arXiv 2019年

作者： Khaliq, Ahmad Saha, Sangeet Bhatt, Bina Gu, Dongbing Howells, Gareth McDonald-Maier, Klaus Embedded and Intelligent System Lab School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom Secure Electronic Systems University of Kent United Kingdom

Like other automated system technologies, PROFINET, a real-time Industrial Ethernet Standard has shown increasing level of integration into the present IT Infrastructure. Such vast use of PROFINET can expose the controllers and I/O devices to operate in critical failures when traffic goes unexpectedly higher than normal. Rigorous testing of the running devices then becomes essential and therefore, in this paper, we prototype and design an FPGA based load Generating solution called FLAG (FPGA-based LoAd Generator) for PROFINET based traffic at the desired load configurations such as, bits per second, the number and size of the packets with their Ethertypes and MAC addresses. We have employed, a Zynq-7000 FPGA as our implementation platform for the proposed FLAG framework. The system can easily be deployed and accessed via the web or command line interface for successful load generation. Extensive experiments have been conducted to verify the effectiveness of our proposed solution and the results confirm that the proposed framework is capable to generate precise load at Fast/Gigabit line rate with a defined number of packets. Copyright © 2019, The Authors. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

来源：评论

学校读者我要写书评

暂无评论

Objective smoking: Towards smoking detection using smartwatch sensors 3rd

Objective smoking: Towards smoking detection using smartwatc...

引用

3rd International Conference on Biomedical and Health Informatics, ICBHI 2017

作者： Maramis, C. Kilintzis, V. Scholl, P. Chouvarda, I. Lab of Computing & Medical Informatics Department of Medicine Aristotle University of Thessaloniki KEDIP Building University Campus Thessaloniki Greece Embedded Systems Department of Computer Science University of Freiburg Freiburg Germany

ISBN: (纸本)9789811074189

Smoking is arguably one of the most harmful lifestyle behaviors with well-known relations to dozens of diseases. As a consequence, smoking monitoring and cessation support have been popular targets for the emerging field of Behavioral Informatics. Although smoking monitoring has been attempted in the past (e.g., self-reporting), the revolution of smart wearable devices has provided the necessary tools for developing truly objective and unobtrusive smoking detection methods applicable in real-life settings. This work takes the first step towards the development of such a method using smartwatch inertial sensory data, with the end-goal of integrating the proposed method in a novel just-in-time intervention for smoking cessation. The paper explores the detection of smoking instances and the constituting puffs from 3-axis gyroscope data that are routinely acquired by any Android Wear smartphone. The feasibility of the method is tested on actual real-life data, yielding very promising preliminary results. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Android (operating system)

来源：评论

学校读者我要写书评

暂无评论

Are state-of-the-art visual place recognition techniques any good for aerial robotics?

arXiv

引用

arXiv 2019年

作者： Zaffar, Mubariz Khaliq, Ahmad Ehsan, Shoaib Milford, Michael Alexis, Kostas McDonald-Maier, Klaus Embedded and Intelligent Systems Laboratory in Computer Science Electronic Engineering Department University of Essex Colchester United Kingdom Australian Centre for Robotic Vision and School of Electrical Engineering and Computer Science Queensland University of Technology BrisbaneQLD Australia Autonomous Robots Lab University of Nevada United States

Visual Place Recognition (VPR) has seen significant advances at the frontiers of matching performance and computational superiority over the past few years. However, these evaluations are performed for ground-based mobile platforms and cannot be generalized to aerial platforms. The degree of viewpoint variation experienced by aerial robots is complex, with their processing power and on-board memory limited by payload size and battery ratings. Therefore, in this paper, we collect 8 state-of-the-art VPR techniques that have been previously evaluated for ground-based platforms and compare them on 2 recently proposed aerial place recognition datasets with three prime focuses: a) Matching performance b) Processing power consumption c) Projected memory requirements. This gives a birds-eye view of the applicability of contemporary VPR research to aerial robotics and lays down the the nature of challenges for aerial-VPR. Copyright © 2019, The Authors. All rights reserved.

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

Achieving efficient realization of kalman filter on CGRA through algorithm-architecture co-design 14th

Achieving efficient realization of kalman filter on CGRA thr...

引用

14th International Symposium on Applied Reconfigurable Computing, ARC 2018

作者： Merchant, Farhad Vatwani, Tarun Chattopadhyay, Anupam Raha, Soumyendu Nandy, S.K. Narayan, Ranjani Institute for Communication Technologies and Embedded Systems RWTH Aachen University Aachen Germany Hardware and Embedded Systems Lab Nanyang Technological University Singapore Singapore Scientific Computation Laboratory Indian Institute of Science Bangalore India Computer Aided Design Laboratory Indian Institute of Science Bangalore India Morphing Machines Pvt. Ltd. Bangalore India

ISBN: (纸本)9783319788890

In this paper, we present efficient realization of Kalman Filter (KF) that can achieve up to 65% of the theoretical peak performance of underlying architecture platform. KF is realized using Modified Faddeeva Algorithm (MFA) as a basic building block due to its versatility and REDEFINE Coarse Grained Reconfigurable Architecture (CGRA) is used as a platform for experiments since REDEFINE is capable of supporting realization of a set algorithmic compute structures at run-time on a Reconfigurable Data-path (RDP). We perform several hardware and software based optimizations in the realization of KF to achieve 116% improvement in terms of Gflops over the first realization of KF. Overall, with the presented approach for KF, 4-105x performance improvement in terms of Gflops/watt over several academically and commercially available realizations of KF is attained. In REDEFINE, we show that our implementation is scalable and the performance attained is commensurate with the underlying hardware resources. © Springer International Publishing AG, part of Springer Nature 2018.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

PID2018 Benchmark Challenge: Model-based Feedforward Compensator with A Conditional Integrator

引用

IFAC-PapersOnLine 2018年第4期51卷 888-893页

作者： Yuan, Jie Ates, Abdullah Dehghan, Sina Zhao, Yang Fei, Shumin Chen, YangQuan School of Automation Southeast University Nanjing210096 China Engineering Faculty Computer Engineering Department Inonu University Malatya44280 Turkey Mechatronics Embedded Systems and Automation Lab University of California MercedCA95340 United States School of Science and Engineering Shandong University Jinan250061 China Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing210096 China

Since proportional-integral-derivative (PID) controllers absolutely dominate the control engineering, numbers of different control structures and theories have been developed to enhance the efficiency of PID controllers. Thus, it is essential and inspiring to operate different PID control strategies to the PID2018 Benchmark Challenge. In this paper, a novel control strategy is designed for this refrigeration system, where a feedforward compensator and a conditional integrator are utilized to compensate the disturbances and remove the steady-state error in the benchmark problem, respectively. The simulation results given in the benchmark problem show the straightforward effectiveness of the proposed control structure compared with the existing control methods. © 2018

关键词： Controllers Benchmarking Disturbance rejection Electric control equipment Proportional control systems Refrigeration Three term control systems Two term control systems Conditional integrators Feed forward compensation Model based method PID controllers Refrigeration system

来源：评论

学校读者我要写书评

暂无评论

Achieving efficient realization of kalman filter on CGRA through algorithm-architecture co-design

arXiv

引用

arXiv 2018年

作者： Merchant, Farhad Vatwani, Tarun Chattopadhyay, Anupam Raha, Soumyendu Nandy, S.K. Narayan, Ranjani Institute for Communication Technologies and Embedded Systems RWTH Aachen University Germany Hardware and Embedded Systems Lab Nanyang Technological University Singapore Scientific Computation Laboratory Indian Institute of Science Bangalore India Computer Aided Design Laboratory Indian Institute of Science Bangalore India Morphing Machines Pvt. Ltd

In this paper, we present efficient realization of Kalman Filter (KF) that can achieve up to 65% of the theoretical peak performance of underlying architecture platform. KF is realized using Modified Faddeeva Algorithm (MFA) as a basic building block due to its versatility and REDEFINE Coarse Grained Reconfigurable Architecture (CGRA) is used as a platform for experiments since REDEFINE is capable of supporting realization of a set algorithmic compute structures at run-time on a Reconfigurable Data-path (RDP). We perform several hardware and software based optimizations in the realization of KF to achieve 116% improvement in terms of Gflops over the first realization of KF. Overall, with the presented approach for KF, 4-105x performance improvement in terms of Gflops/watt over several academically and commercially available realizations of KF is attained. In REDEFINE, we show that our implementation is scalable and the performance attained is commensurate with the underlying hardware resources. Copyright © 2018, The Authors. All rights reserved.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Budget-feasible User Recruitment in Mobile Crowdsensing with User Mobility Prediction

Budget-feasible User Recruitment in Mobile Crowdsensing with...

引用

IEEE International Performance Computing and Communications Conference

作者： Wenjie Yang Guodong Sun Xingjian Ding Xiaoyue Zhang School of Information Science and Technology Beijing Forestry University Beijing China Embedded Networked Systems Lab Beijing Forestry University Beijing China Department of Computer Science Renmin University of China Beijing China

ISBN: (纸本)9781538668092;9781538668085

Mobile crowdsensing (MCS) is a new and promising tool in urban sensing. It exploits a crowd of smartphone-carried mobile users and transfers their sensory data to requesters who usually publish spatio-temporal tasks of sensing city area. In reality, mobile users can probabilistically move in the sensing region in their daily mobility and stay there for a period of time;and then these probabilistic users can be recruited to collaboratively perform MCS sensing tasks. Such an MCS depending on the probabilistic collaboration of mobile users is usually called non-deterministic MCS. In this paper, we focus on the budget-feasible user recruitment (BFUR) problem in non-deterministic MCS, which is the first work to maximize the requester's utility under a given budget constraint. Because of the NP-hardness of BFUR, we reformulate it as a monotone submodular maximization problem and propose a greedy algorithm (called uMax) with provable constant-factor competitiveness. Unlike previous works for non-deterministic MCS, however, this paper specially puts effort on predicting the mobility patterns of users, especially their stay time in requester's sensing region, and then designs an effective predictor based on bi-directional long short-term memory neural network. Such a prediction of user's stay time not only connects the BFUR problem modeling defined in this paper and the actual mobility uncertainty of users, but also can apply to any non-deterministic MCS campaign that depends on the knowledge of user's stay patterns. We finally validate the performance of the proposed predictor under a real-world dataset of wireless mobile networks, and evaluate algorithm uMax by comparing it with two other baseline algorithms.

关键词： Mobile crowdsensing User recruitment User mobility prediction LSTM neural network Submodular maximization

来源：评论

学校读者我要写书评

暂无评论

Analysis of the possibility of levitation of ferromagnetic bodies in a static magnetic field

引用

IOP Conference Series: Materials Science and Engineering 2019年第1期680卷

作者： M A Vernezi K I Goryanina O I Katin D Yu Donskoy A D Lukyanov A N Tooraj Laboratory of local automation and embedded systems Don State Technical University Gagarin Square 1 Rostov-on-Don 344000 Russia Federation Instrumentation Lab School of electrical and computer engineering University of Tehran Tehran Iran

The hypothesis of the existence of three-dimensional regions near the sources of the magnetic field, in which it is possible to obtain a stable position of the magnetic object in a stationary field. The hypothesis is based on the existence of two types of points: points with zero field level and points with local extremum of this field. The obtained distributions of magnetic forces act stabilizing on the object under study, in particular, create the effect of levitation of ferromagnetic bodies in the gravitational field of the Earth. Examples of configurations of the field sources that generate many such points. systems of current windings providing creation of one-and two-dimensional configurations of areas near sources within which magnetic levitation is possible are analyzed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Demo Abstract: Panoptes: A Cheap, Extensible, Open-Source Multi-camera Tracking System

Demo Abstract: Panoptes: A Cheap, Extensible, Open-Source Mu...

引用

International Symposium on Information Processing in Sensor Networks (IPSN)

作者： Manomit Bal Javier Yu Karthik Dantu Distributed Robotics and Networked Embedded Systems Lab (DRONES) Computer Science and Engineering University at Buffalo

ISBN: (纸本)9781467391474

We are developing an extensible, open-source framework that can localize and track rigid bodies using a network of cameras (both RGB and depth). This system is motivated by two design goals - (i) ease of setup, and (ii) ability to be agnostic of individual cameras and recognition algorithms. The goal of this implementation is to be a poor man's motion capture system that can be quickly set up for experimentation and provide accurate 3-D pose of the rigid body and scalable across cameras and the volume of coverage.

关键词： Cameras Robot sensing systems Three-dimensional displays Feature extraction Libraries Calibration Open source software

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：