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检索条件"任意字段=17th International Conference on Distributed Computing and Intelligent Technology"

共 4256 条记录，以下是151-160 订阅

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Batterfly: Battery-Free Daily Living Activity Recognition System through distributed Execution over Energy Harvesting Analog PIR Sensors 17

Batterfly: Battery-Free Daily Living Activity Recognition Sy...

引用

17th Annual IEEE international conference on distributed computing in Sensor Systems (IEEE DCOSS)

作者： Stirapongsasuti, Sopicha Misaki, Shinya Matsui, Tomokazu Suwa, Hirohiko Yasumoto, Keiichi Nara Inst Sci & Technol Ikoma Nara 6300192 Japan

ISBN: (纸本)9781665439299

In recent years, the use of energy harvesting (EH) sensors has led to the proposal of activity sensing systems that are easy to install and do not require maintenance such as battery replacement. In this study, we aim to construct a system that can not only sense but also recognize activities of daily living (ADLs) using only power generated by EH sensors. To achieve this goal, in this paper, we propose a fully EH-based ADL recognition system called Batterfly, which consists of EH analog PIR sensor nodes that can operate with indoor light, continuously senses human movement, and recognizes daily activities through machine learning. We applied the distributed execution method of the activity recognition model with five sensor nodes to five types of activities by five participants, and found that the system could recognize them with an average accuracy of 63.59%, comparable to the performance of the centralized model running on a gateway.

关键词： wireless sensor network energy harvesting distributed computing

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Cloud Based Solution for Vital Signs Tracking 17

Cloud Based Solution for Vital Signs Tracking

引用

IEEE EUROCON -17th international conference on Smart Technologies

作者： Rakovic, Valentin Denkovski, Daniel Atanasovski, Vladimir Gavrilovska, Liljana op den Akker, Harm Bara, Cristian-Dan Ss Cyril & Methodius Univ Skopje Fac Elect Engn & Informat Technol Skopje Macedonia Univ Twente Roessingh Res & Dev Telemed Grp Enschede Netherlands

ISBN: (纸本)9781509038435

eHealth technology can bring a variety of benefits to patients, caregivers, and health institutions, by facilitating improved healthcare services through the utilization of Information and Communication Technologies (ICTs). the forthcoming generation of healthcare services will require advances in computing and Wireless Sensor Networks (WSNs) in order to leverage truly intelligent and adaptive features for smarter eHealth services. this paper proposes a multi-sensory cloud based system capable of monitoring and tracking the patient's behavior with respect to his vital signs. the paper also showcases the proposed system on a real testbed, performing real-time vital signs data acquisition, processing, and monitoring.

关键词： eHealth sensor network vital signs cloud computing eWALL

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A Novel Bipolar MCDM Model Using Rough Sets and three-Way Decisions for Decision Aids 8

A Novel Bipolar MCDM Model Using Rough Sets and Three-Way De...

引用

Joint 8th international conference on Soft computing and intelligent Systems (SCIS) / 17th international Symposium on Advanced intelligent Systems (ISIS)

作者： Shen, Kao-Yi Tzeng, Gwo-Hshiung Chinese Culture Univ SCE Dept Banking & Finance Taipei Taiwan Natl Taipei Univ Coll Publ Affairs Grad Inst Urban Planning New Taipei 23741 Taiwan

ISBN: (纸本)9781509026784

this study proposes a bipolar model for resolving multiple criteria decision-making (MCDM) problems, based on the integration of rough set theory and three-way decisions, for forming a hybrid bipolar model. It begins by dividing a decision space into three disjoint regions: negative, neutral, and positive states;in the next, a rough set theory based rule induction mechanism generates two sets of rules associated with the positive and the negative states respectively, termed as the positive and the negative rules. the two groups of rules are regarded the bipolar rough experience (knowledge) in the form of rules and granulized knowledge, and decision makers can then define a threshold to select the covered number of rules in the bipolar decision model. this novel approach not only supports decision makers to select or rank alternatives, but also identify rough knowledge for the addressed problem. As a result, this novel bipolar model transforms soft computing analytics into a comprehensible bipolar model for decision aids.

关键词： multiple criteria decision-making (MCDM) rough set theory (RST) dominance-based rough set approach (DRSA) soft computing bipolar decision model three-way decisions multiple rules-based decision-making (MRDM)

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Analysis of transition and reproducibility of spontaneous electrical activity pattern in a living neuronal network 17

Analysis of transition and reproducibility of spontaneous el...

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Joint 17th World Congress of international-Fuzzy-Systems-Association / 9th international conference on Soft computing and intelligent Systems (IFSA-SCIS)

作者： Okada, Takumi Minoshima, Wataru Kudoh, Suguru N. Kwansei Gakuin Univ Sch Sci & Tech Dept Human Syst Interact Lab Neuronal Intelligence Engn NI LAB Sanda City Hyougo Japan

ISBN: (纸本)9781509049172

the representations of outer world in the brain are considered to be undertaken by spatiotemporal activity patterns of neuronal circuits. In this study, we analyzed the transition of the internal states of the circuit of rat hippocampal neurons cultured on a multi-electrodes-array-dish. We analyzed transition of center of gravity and 64-dimensional feature-vectors of electrical activity patterns. Electrical activity pattern at a certain 5-ms-width-time-window was represented as a 64 dimensional "0-1" feature vector, and analyzed the stability. We confirmed that the reproducibility of the neuronal network activity increased during culture days. In addition, we applied similarity analysis to 64-dimensional feature vectors of neuronal activity. Using X-means algorithm, feature vectors were classified into "pattern repertories" based on the spatial distribution of activity.

关键词： feature vector rat hippocampal dissociated culture multi electrode array spontaneous activity neural network

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distributed Multi-Agent Empowered Resource Allocation in Deep Edge Networks 17

Distributed Multi-Agent Empowered Resource Allocation in Dee...

引用

17th IEEE international Wireless Communications and Mobile computing conference (IEEE IWCMC)

作者： Gong, Yongkang Wang, Jingjing Yao, Haipeng Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China Tsinghua Univ Dept Elect Engn Beijing Peoples R China

ISBN: (纸本)9781728186160

the sixth generation wireless communication networks (6G) are anticipated to bring a disruptive innovation on multiple scenarios, where deep edge networks (DENs) turn into a vital network structure on vertical industrial paradigms, including the combination of communication, computing and caching (3C). In this paper, we present the DENs scene to facilitate the deep convergence of computing and communication resources. More specifically, we formulate the optimization problem in terms of energy consumption and latency in order to minimize the total agents overhead. At the same time, for the sake of executing tasks and alleviating interference among different edge networks and high-dynamic network environments, we propose a CPU cycle frequency aided multi-agent deep deterministic policy gradient (C-MADDPG) algorithm framework to optimize the task scheduling, transmission power, CPU cycle frequency and mutual interference from multiple channels to obtain the optimal overhead. Finally, extensive simulation and experimental results demonstrate that our proposed C-MADDPG algorithm has better performance gain in term of execution overhead for different network parameters.

关键词： Deep edge networks (DENs) computation offloading interference management CPU aided multi-agent deep deterministic policy gradient (C-MADDPG)

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Evolutionary Fuzzy Control of Two Cooperative Object-Carrying Wheeled Robots for Wall Following through Multiobjective Continuous ACO 17

Evolutionary Fuzzy Control of Two Cooperative Object-Carryin...

引用

Joint 17th World Congress of international-Fuzzy-Systems-Association / 9th international conference on Soft computing and intelligent Systems (IFSA-SCIS)

作者： Huang, Chen-An Juang, Chia-Feng Natl Chung Hsing Univ Dept Elect Engn Taichung Taiwan

ISBN: (纸本)9781509049172

this paper considers the multiobjective orientation and velocity control of two robots cooperatively carrying an object in completing a convex wall-following task. Fuzzy controllers (FCs) found through a two-stage learning approach is used. the first stage finds FCs that control a single (leader) robot in executing the wall-following task with the two objectives of accurately moving along the wall boundary and moving with a high speed. Based on the FC in stage one, the second stage finds an auxiliary FC to control a follower robot so that the leader and follower robots can cooperatively carry an object in executing the wall-following task. the FC in each stage is optimized through the multiobjective front-guided continuous ant-colony optimization (MO-FCACO) algorithm. Simulations of evolutionary fuzzy control of a single robot and two cooperative robots for wall following are performed to show the control result.

关键词： fuzzy control ant colony optimization multiobjective optimization evolutionary robots wall-following control.

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Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine 17

Sharing non-reversible data statistics for fast and secure F...

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17th international conference on PErvasive Technologies Related to Assistive Environments (PETRA)

作者： Akusok, Anton Espinosa-Leal, Leonardo Bjork, Kaj-Mikael Arcada Univ Appl Sci Helsinki Finland Ctr Intelligent Comp CIC UTU FI Turku Finland

ISBN: (纸本)9798400717604

Extreme Learning Machine (ELM) is a fast and simple machine learning method with an exact solution. this work presents its integration into conventional federated learning frameworks that preserve the method's native property of a non-iterative and exact solution in data-distributed systems. Low computational complexity and data privacy features make federated ELM a good candidate for on-device computing in privacy-sensitive applications.

关键词： Federated learning One-shot learning Secure Federated Learning Extreme Learning Machine

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A self-configuration protocol for a cover made of smart tiles

A self-configuration protocol for a cover made of smart tile...

引用

17th IEEE international conference on Emerging Technologies and Factory Automation (ETFA)

作者： Benetti, Guido Facchinetti, Tullio Univ Pavia Dipartimento Ingn Ind & Informaz I-27100 Pavia Italy

ISBN: (纸本)9781467347372

Innovative building materials are behind the development of smart environments. Such environments include rooms, apartments, buildings, streets, squares, etc. the integration of embedded computing devices within traditional building materials is one of the most appealing direction to create next generation smart environments. this paper presents a distributed self-configuration protocol suitable for the automatic set up of a cover made by smart tiles. the smart tile is an advanced building material where a classical tile is integrated by an embedded device. the main goal of the proposed configuration protocol is to allow the installation of the cover without the need of specialized skills or configuration requirements.

关键词： embedded systems intelligent materials protocols structural engineering computing tiles

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Accumulative Energy-based Seam Carving for Image Resizing 17

Accumulative Energy-based Seam Carving for Image Resizing

引用

17th international conference on Parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Lin, Yuqing Niu, Yuzhen Lin, Jiawen Zhang, Haifeng Fuzhou Univ Coll Math & Comp Sci Fuzhou Fujian Peoples R China Fujian Prov Key Lab Network Comp & Intelligent In Fujian Peoples R China

ISBN: (纸本)9781509050819

With the diversified development of the digital devices, such as computer, mobile phone, pad and television, how to resize an image or video to adapt to different display screens has been attracting more and more peoples' attention. Seam carving has been an important method for image resizing. If multiple removed or inserted seams are located within a certain region, it can lead to discontinuity image content. Besides, the salient objects tend to be destroyed if the energy function only contains the gradient information. therefore, we propose an accumulative energy based seam carving method for image resizing. When removing a certain seam, we distribute the energy of each pixel on the seam to its adjacent 8-connected pixels in order to avoid the extreme concentration of seams, especially within a texture region. In addition, we add the image saliency and the edge information into the energy function to reduce the distortion. Since the computational complexity of seam carving method is very high, we use parallel computing environment to achieve efficient computation. Experimental results show that compared with the existing methods, our method can both avoid the discontinuity of image content and distortions as well as better maintain the shape of the salient objects.

关键词： Image resizing Seam carving Optimal seam Accumulative energy Saliency detection Edge detection

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Tomato Harvesting Robot Competiton 8

Tomato Harvesting Robot Competiton

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8th Joint international conference on Soft computing and intelligent Systems and 17th international Symposium on Advanced intelligent Systems, SCIS-ISIS 2016

作者： Ishii, Kazuo Takemura, Yasunori Matsuo, Takayuki Sonoda, Takashi Center for Socio-Robotic Synthesis Kyushu Institute of Technology 2-4 Hibikino Wakamatsu Kitakyushu Fukuoka Japan Department of Creative Engineering National Instiotute of Technology Kitakyushu College 5-20-1 Shii Kokuraminami Kitakyushu Fukuoka Japan Department of Engineering Nishinippon Institute of Techonology 1-11 Aratsu Kanda Miyako Fukuoka Japan

ISBN: (纸本)9781467390415

Tomato is one of important fruit vegetables and most tomatoes are produced in the greenhouses, or large-scale farms, where the high temperature and humidity, and long harvest age force the farmers heavy works. With an aim to promote the automation of tomato harvesting, we have organized the tomato harvesting robot competition. In this paper, we report on the results of tomato harvesting robot competition. © 2016 IEEE.

关键词： Fruits

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