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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

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distributed Processing Middleware on Mesh Network for Connectivity Challenged Environments

Distributed Processing Middleware on Mesh Network for Connec...

引用

ieee international conference on Pervasive computing and Communications (PerCom)

作者： Talusan, Jose Paolo Nara Inst Sci & Technol Nara Japan

ISBN: (纸本)9781538691519

The growth of pervasive computing, such as Internet of Things, increase the number of devices and the amount of context information being generated. Existing frameworks such as Cloud computing simply utilize these IoT devices as end-to-end network gateways. Paradigms such as Edge and Fog computing while able to minimize latency by bringing computing devices nearer to the data source, fail to consider the utilization of computation resource of these IoT devices. For connectivity challenged environments such as rural or disaster areas, cloud and edge/fog systems are not as accessible and devices are limited to wireless sensor networks and cheap commodity computing nodes. The goal of our research is to deliver pervasive computing to these environments by developing a middleware for heterogeneous IoT devices. Utilizing the middleware enables IoT devices to perform distributed machine information processing on available sensor nodes, without Cloud-based computing resources.

关键词： Middleware Cloud computing Performance evaluation Wireless mesh networks Pervasive computing distributed processing distributed databases

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IoT Aroma sensor Module to Determine Beverage Alcohol Grade

IoT Aroma Sensor Module to Determine Beverage Alcohol Grade

引用

ieee international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications

作者： Jorge Javier Mendoza Montoya Germán Torregrosa Penalva Ernesto Àvila Navarro Kevin Huanca Zea Javier Alvaro Rivera Suaña José Chilo Universidad Tecnológica del Perú Arequipa Perú Miguel Hernández University Elche Spain Andina Néstor Cáceres Velásquez University Juliaca Perú University of Gävle Gävle Sweden

ISBN: (纸本)9781665426060

Industry 4.0 is the technology of the future, which is based, among other things, on the Internet of Things (IoT) and sensors that provide online information about the production processes. Electronic noses (E-noses) are gas sensor technologies expanding IoT, contributing to better alcohol production performance and providing important information about production process parameters. In this work, we have developed a low-cost, wireless, and compactness aroma sensor module applied to the alcohol industry. We use four metal oxide sensors, MQ-2, MQ-3, MQ-4, and MQ-135, embedded in the E-nose headspace and controlled by a 32-bit ESP32 WROOM microcontroller. The alcohol grade measurements were performed on beer and wine samples. MQ-3 sensor was stable till 20% alcohol grade, and MQ-2, MQ-4, and MQ-135 sensors were regular only until 5% alcohol. Our experiments let us determined alcohol grade with precision above 92%.

关键词： Wireless sensor networks Sensitivity Microcontrollers Production Alcoholic beverages Electronic noses sensors

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ieee international conference on Industrial Informatics (INDIN)

IEEE International Conference on Industrial Informatics (IND...

引用

18th ieee international conference on Industrial Informatics, INDIN 2020

ISBN: (纸本)9781728149646

The proceedings contain 141 papers. The topics discussed include: time triggered scheduling algorithm for real-time wireless systems;G-NOMA for energy efficient C-RAN;IoT- and blockchain-enabled credible scheduling in cloud manufacturing: a systemic framework;asphalt pavement segregation detection method based on LBP-GLCM;a distributed secondary-tertiary coordinated control framework for islanded microgrids;an automatic software behavior model generation method for industrial cyber-physical system;adversarial multi-domain adaptation for machine fault diagnosis with variable working conditions;a service-based architecture for the interaction of control and MES systems in industry 4.0 environment;an adaptive path planning scheme towards chargeable UAV-IWSNs to perform sustainable smart agricultural monitoring;performance analysis of in-vehicle distributed control systems applying a real-time jitter monitor;towards a systematic approach for smart grid hazard analysis and experiment specification;and task offloading based on edge computing considering overhead and load balancing in industrial Internet of Things.

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Neural Network Based Landing Assist Using Remote Sensing Data

Neural Network Based Landing Assist Using Remote Sensing Dat...

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international ieee conference on Signal-Image Technologies and Internet-Based System

作者： Dheeraj Bharti Mangal Kothari K S Venkatesh Electrical Department Indian Institute of Technology Kanpur Kanpur India Aerospace Department Indian Institute of Technology Kanpur Kanpur India

This paper presents the application of computer vision and artificial neural networks for autonomous approach and landing and taxiing for an aircraft. In civil aviation and unmanned aircraft system industry, safety has always been the prime concern. We present a system which uses modern pattern recognition algorithm to aid in the landing of all types of aerial vehicles. The auto-land systems used today in aviation sector utilize a radio waves-based system known as Instrument Landing System (ILS) which has been in operation since decades. Although, it is efficient but might sometime be intermittent and is vulnerable to ***, the auto-land system works in conjunction with different devices such as radio altimeter, ILS, Global Positioning System (GPS) and others. But, before reaching the Minimum Decision Altitude (MDA), pilots are expected to have the runway threshold marking, aiming point marking, displacement arrows and other touchdown markings/lights in-sight for landing. For this purpose, use of imaging sensors as an augmentation system for pilots during landing can improve the safety manifolds. Our method uses modern artificial neural networks to learn to recognize and localize important visual references during landing and taxiing useful for pilots by utilizing the satellite imagery dataset from Google Earth Engine (GEE) cloud computing.

关键词： Visualization Satellite broadcasting Artificial neural networks sensor systems Safety sensors Pattern recognition

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Privacy-Protected Denoising for Signals on Graphs from distributed systems

Privacy-Protected Denoising for Signals on Graphs from Distr...

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ieee international Symposium on Circuits and systems

作者： Zhaohong Wang Sen-ching S. Cheung Department of Electrical and Computer Engineering California State University Chico Chico California Department of ELectrical and Computer Engineering University of Kentucky Lexington Kentucky

The fast-growing networked computing devices create many distributed systems and generate new signals on a large scale. Typical applications include peer-to-peer streaming of multimedia data, crowd-sourcing, and measurement by sensor networks. Therefore, the massive amount of networked data is a form of big data, calling for new data structures and algorithms different from classical ones suitable for small data sizes. We consider a vital data format for recording information from networked distributed systems: signals on graphs. A significant concern is to protect the privacy of large scales of signals when processed at third parties, such as cloud data centers. A de-facto solution is to outsource encrypted data before they arrive at the third-parties. We propose a novel and efficient privacy-protected outsourced denoising algorithm based on the information-theoretic secure multi-party computation (secure MPC). Among the operations of signals on graphs, denoising is useful before further meaningful processing can occur. We experiment with our algorithms in a popular platform of secure MPC and compare it with Paillier's homomorphic encryption approach. The results demonstrate a better efficiency of our approach.

关键词： Cloud computing Noise reduction Signal processing algorithms distributed databases Encryption Computational efficiency Task analysis

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Development of a Data Analytics Platform for an Electrical/Water Microgrid

Development of a Data Analytics Platform for an Electrical/W...

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ieee international Symposium on Power Electronics for distributed Generation systems (PEDG)

作者： Garry Jean-Pierre Hadi Akbarihaghighat Tian Zhao Adam Berger Nabila Nafsin Fuad Bin Nasir Hector Bravo Jin Li Adel Nasiri Michael Nowak Center for Sustainable Electrical Energy Systems University of Wisconsin-Milwaukee (UWM) Eaton Corporation

Data enabled systems can offer multiple improvements over traditional systems, including higher efficiency, higher reliability, and lower maintenance cost. There has been a large growth in the development of data enabled systems in various industrial sectors, such as energy, manufacturing, and water distribution systems. In order to achieve a data enabled system, it is paramount to develop an analytical platform by collecting data, and formulating and monitoring key performance indicators (KPIs). This paper presents a multilayer structured communication and data analytic framework to collect real-time, high-fidelity data for a full scale electrical microgrid and water system testbed. The system has deployed various electrical and water sensors, communication interfaces, data streaming libraries, cloud programming and storage, data dashboards, and an HMI. Actual water and electrical test systems were built to test this replicable platform.

关键词： Cloud computing Analytical models Data analysis Tropical cyclones Microgrids Water quality sensor systems

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Collaborative Transmission over Intermediate Links in Duty-Cycle WSNs

Collaborative Transmission over Intermediate Links in Duty-C...

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international conference on Parallel and distributed systems (ICPADS)

作者： Qianwu Chen Xianjin Xia Zhigang Li Yuanqing Zheng Northwestern Polytechnical University Xi'an China The Hong Kong Polytechnic University Hong Kong China

ISBN: (纸本)9781665408790

This paper studies the performance bottleneck of tree-based wireless sensor networks. Based on our findings, we propose a collaborative transmission paradigm which opportunistically shifts some node traffics to intermediate links beyond the tree topology. We experimentally demonstrate that the quality of intermediate links can even out over multiple transmissions. Low-Power-Listening based MACs can increase the packet reception ratio of data delivery, but may also introduce asymmetry issues on intermediate link, leading to redundant packet transmissions. To overcome the problem, we select good-SINR links that ensure high reliability with at most $k$ retransmissions for communication. We compute the ratio of tree-link and intermediate long-link transmissions in a distributed way, aiming at minimizing the maximum load in the neighborhood. We implement the method in TinyOS as an independent component named LLC, and evaluate LLC via both simulation and testbed experiments. Results show that LLC can reduce the energy consumption by up to 50%, while retaining the high retransmission reliability.

关键词： Wireless communication Wireless sensor networks Energy consumption Technological innovation Network topology Collaboration Topology

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Multitaper Spectrogram for Classification of Speech and Music With Pretrained Audio Neural Networks

Multitaper Spectrogram for Classification of Speech and Musi...

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ieee distributed computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

作者： G.B Rakshith K.C Narendra Sanjeev Gurugopinath Advanced Video BU Ittiam Systems Pvt. Ltd Bengaluru India NMAM Institute of Technology Nitte Udupi India PES University Bengaluru India

ISBN: (纸本)9781665429528

In this paper, we demonstrate the viability of multitaper (MT) features for classification of s peech and music with pretrained audio neural networks (PANN). Among several well-known features for audio tagging, log-mel is widely-used. Therefore, log-mel has been used to train and establish a near-perfect accurate PANN for audio tagging. For the classification problem at hand, we study the performance of MT numerator group delay (MT-NGD) and MT magnitude (MT-Mag) spectral features and compare it with the log-mel feature. Our experimental results on the MARSYAS speech and music database shows that the accuracy of the PANN converges faster as opposed to other features, when trained with MT-NGD spectrogram. Further, the multitaper representations are observed to be robust to the presence of noise in both speech and music.

关键词： Databases conferences Neural networks Tagging Very large scale integration Delays distributed computing

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distributed Energy Storage Aggregator for Power System Frequency Control

Distributed Energy Storage Aggregator for Power System Frequ...

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2020 international conference on Intelligent computing, Automation and systems, ICICAS 2020

作者： Sun, Feng Li, Ping Liu, Siqi Hao, Jiancheng Yang, Hongyu Wang, Shiyuan Ye, Peng State Grid Liaoning Electric Power Co. Ltd. Electric Power Research Institue Shenyang110006 China Shenyang Institute of Engineering Shenyang110136 China

ISBN: (纸本)9781728191461

With the large amount configuration of distributed energy storage (DES), the randomness of its output and access point will challenge the traditional operation mode of power grid. If DES is connected to the power system in disorder as a random disturbance power source, it will have a negative impact on the power quality, and will cause the unreasonable utilization of energy storage resources. However, the economy of power system operation can be improved by regulating the idle DESs to provide auxiliary services for the demand of power system. In this paper, a control strategy of distributed energy storage aggregator (DESA) to participate in the power system frequency control is proposed. The aggregation of DESs is based on the analytic hierarchy process structure. By integrating the DES Aggregator into the power system load frequency control, the frequency regulation ability is improved. Case studies verify the effectiveness of the proposed control strategy. © 2020 ieee.

关键词： Electric power transmission networks

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Social Middleware for Civic Engagement 39

Social Middleware for Civic Engagement

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39th ieee international conference on distributed computing systems (ICDCS)

作者： Angarita, Rafael Georgantas, Nikolaos Issarny, Valerie ISEP Paris Paris France Inria Paris Paris France

ISBN: (纸本)9781728125190

Civic engagement refers to any collective action towards the identification and solving of public issues. Current civic technologies are traditional Web- or mobile-based platforms that make difficult, or just impossible, the participation of citizens via different communication technologies. Moreover, connected objects sensing physical-world data can nourish participatory processes by providing physical evidence to citizens;however, leveraging these data is not direct and still a time-consuming process for civic technologies developers. This paper introduces the concept of social middleware for civic engagement. Social middleware allows citizens to engage in participatory processes supported by civic technologies- via their favorite communication tools, and to interact not only with other citizens but also with relevant connected objects and software platforms. The mission of social middleware goes beyond the connection of all these heterogeneous entities. It aims at easing the implementation of distributed applications oriented toward civic engagement by featuring dedicated built-in services.

关键词： Citizen-sensor-networks Citizen empowerment Civic IoT Civic technology Middleware Cyber-Physical-Social systems

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