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A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset 15th

A Preliminary Study for Automatic Activity Labelling on an E...

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15th international conference on Soft Computing Models in Industrial and environmental Applications, SOCO 2020

作者： de la Cal, Enrique Fáñez, Mirko DaSilva, Alvaro Villar, Jose Ramón Sedano, Javier Suárez, Victor Computer Science Department University of Oviedo Oviedo Spain Instituto Tecnológico de Castilla y León Pol. Ind. Villalonquejar Burgos09001 Spain Control and Automatica Department EPI University of Oviedo Gijón Spain

ISBN: (纸本)9783030578015

One consequence of the aging population is an increase in life expectancy implying greater healthcare needs as well as a serious healthy aging program. So healthy aging is one of the main challenges in the first world nowadays, and as much as possible devices, software and technological solutions applied to measure and improve the quality of life of the elder people are necessary. Recently, we presented a first prototype of an activity monitoring kit, and this study includes the analysis of the dataset gathered after six months of use. Since the wearable devices employed in this monitoring kit have not the automatic activity recognition service available, current work proposes several techniques to label automatically the Time Series (TS) obtained in the experiment. Thus, a new device with the same sensors as the old one plus the automatic activity recognition service available will be used to obtain a new labelled dataset, that will be used to learn a new model using semi-supervised learning to tag the not-labelled dataset. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fall detection

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IoT Solution for intelligent Pond monitoring 3

IoT Solution for Intelligent Pond Monitoring

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3rd international conference on Eco Engineering Development, ICEED 2019

作者： Darmalim, Usin Darmalim, Ferdinan Darmalim, Sutristo Hidayat, Alam Ahmad Budiarto, Arif Mahesworo, Bharuno Pardamean, Bens Mega Medica Pharmaceuticals Jakarta11840 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Channa striata or the striped snakehead fish is one of snakehead fish species which inhabits all types of freshwater bodies distributed across Asian countries. Because this fish is known to have higher albumin fraction (64.61%) of protein and other economic values, domestication, and cultivation of this fish has been done in many Asian countries such as Indonesia, China, Malaysia, Thailand, Bangladesh, and India. environmental factors such as temperature, water pH, dissolved oxygen, total dissolved solids, and turbidity are important parameters must be considered inbreeding and growing this type of fish. The aim of this paper is to propose an IoT solution to automatically monitor these environmental factors. It is designed with affordable and open-source electrical components to provide a cost-efficient solution for farmers. Five sensors are used to measure each parameter. A web application prototype is also presented as a companion application for the users to get useful information from the IoT device. It is developed using a Pythonframework. By accessing this web application, the users can immediately detect any abnormal conditions of the pond. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Fish

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intelligent Exhaust System of Cross-Linked Workshop

Intelligent Exhaust System of Cross-Linked Workshop

引用

international conference on Artificial Intelligence in China, ChinaAI 2019

作者： Xu, Yan-ting Yang, Yongjie School of Information Science and Technology Nan-tong University Nan-tongJiang-su226019 China

ISBN: (纸本)9789811501869

An intelligent exhaust system has been designed based on the characteristics of practical and efficient. The system takes STM32F103C8T6 single-chip microcomputer as the control core and consists of four parts: acquisition terminal nodes, routing nodes, master node, and monitoring management software. Use SHT20 sensors to collect environmental data. To realize the function of the system’s data transceiver and the exhaust fan control, data exchange between STM32 and the wireless transmission module LORA has been adopted. The upper computer not only contains PC monitoring management software, but also contains WeChat small program, which makes the fan control more simple and convenient. The system has been applied in a cross-linked workshop. The practical application shows that the system is stable, accurate, and easy to operate. © Springer Nature Singapore Pte Ltd 2020.

关键词： Ad hoc networks

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Cloud computing methods for leaking detection of halogen pipeline based on distributed terminals

Cloud computing methods for leaking detection of halogen pip...

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2020 international conference on Robots and intelligent Systems, ICRIS 2020

作者： Xu, Min Zhao, Jianyang Ye, Qiwei Ding, Weihong Zhu, Xiaoqi Zhang, Qin Huaiyin Institute of Technology Huaian Faculty of Automation China Huaiyin Institute of Technology Huaian Faculty of Computer and Software Engineering China

ISBN: (纸本)9780738124070

In order to ensure the safe transmission of the brine pipeline, this paper designs a leakage detection terminal based on STM32F7. This terminal uses GPS to added time stamps to the collected data. And each distributed terminal uses second pulse signal of GPS to realize the function of synchronously collecting signals. Finally, the data is transmitted to the cloud computing platform through the 4G wireless transmission module system. This paper uses the S transform algorithm to analyze the characteristics of these transmitted data. S transform algorithm fully extracts the characteristics of the data in the time-frequency-mode domain. The simulation results show that the data generates high-frequency signals at default point. Through the whole system, it can effectively realize real-time monitoring. © 2020 IEEE.

关键词： Pipelines

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control and Remote Sensing of an Irrigation System Using ZigBee Wireless Network 1st

Control and Remote Sensing of an Irrigation System Using Zig...

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1st international conference on intelligent Computing Techniques for Smart Energy Systems (ICTSES)

作者： Chheda, Jay Praful Boradak, Vikash Kumar Manipal Univ Jaipur Dept Elect Engn Jaipur Rajasthan India

ISBN: (纸本)9789811502149;9789811502132

Cropping systems concerns are increasing significantly in semi-arid and arid areas. In order to maximize the productivity while saving water, the barrier of site-specific irrigation management can be solved. This is done by using in-field distributed sensor-based irrigation system. The main aim of this paper is to highlight the details and instrumentation of various controls. They are variable rate irrigation, wireless sensor network. For monitoring the real-time in-field sensing and control of a site-specific precision linear-move irrigation system a software is used. According to the soil property map, six in-field sensor stations are used to monitor the field conditions. The report of thesemonitoring data is periodically sampled and transmitted to base station. Geo-referenced location of sprinklers is updated timely with the help of logic programmable controllers [1]. ZigBee communication enables the interfacing of communication signals from sensor network and irrigation controller to the base station. Stable remote access to field conditions and monitoring and real-time control of variable rate irrigation controller is achieved. A graphic user interface-based software is used for this.

关键词： WPAN-Wireless Personal Area Network Personal computer (PC) ZDO-ZigBee Device Object Wireless sensor network (WSN) Simple mail transfer protocol (SMTP) Automation control systems Measurement Portable radio communication Sensors Water resources SHT71 ADC CMOS LM35

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Air Quality Sensor Data Collection and Analytics With IoT for an Apartment With Mechanical Ventilation

Air Quality Sensor Data Collection and Analytics With IoT fo...

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IEEE international Workshop on intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Lukasz Scislo Nina Szczepanik-Scislo Faculty of Electrical and Computer Engineering Cracow University of Technology Cracow Faculty of Environmental and Power Engineering Cracow University of Technology Cracow

ISBN: (纸本)9781665426060

The aim of the research was to develop a concept of a remote measurement system for air quality management using IoT for an apartment with a mechanical exhaust system. The constant monitoring system with the possibility of manual control by the occupants allows teaching the occupants how to chose optimal settings with the biggest impact on the air quality. Additionally, using cloud data analysis, the measurements can be compared with simulations performed before the building construction. This allows choosing the proper apartment depending on the foreseen occupancy schedule and the family size.

关键词： Cloud computing Schedules Data analysis Memory Air quality Ventilation Mechanical variables measurement

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Generic Architecture for Ubiquitous IoT Applications 1

引用

2nd international conference on Computing, Communications and Data Engineering (CCODE)

作者： Shivani Srivastava, Satyam Babu, M. Rajasekhara Vellore Inst Technol Vellore Tamil Nadu India

ISBN: (数字)9789811501357

ISBN: (纸本)9789811501357;9789811501340

In this research work, we study the ubiquitous IoT-based applications, systems and technology amongst areas like healthcare, personal assistance, social interactions, agriculture, environmental conditions, traffic management and home control. We further explore to seek out the common trends, framework and design methodology followed in these systems in order to propose an omnipresent generic architecture which can be used unanimously across all these domains along with their respective plug-ins to achieve their specific functionalities. We go further and verify our proposed architecture against the functionalities of various IoT applications. Hence, the final output of this research is a Generic Architecture for Ubiquitous IoT Applications, which can be used as a base architecture to build upon by specifying domain-oriented functions.

关键词： IoT Ubiquitous Application Framework Architecture Generic Healthcare Agriculture Transportation Climate Traffic management Environment monitoring

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Urban Fatigue Driving Prediction With Federated Learning

Urban Fatigue Driving Prediction With Federated Learning

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IEEE international conference on Cloud Computing and Intelligence Systems (CCIS)

作者： Yongqiang Ma Yingxia Shao Zhe Xue Ziqiang Yu School of Computer and Control Engineering Yantai University Yantai Shandong China School of Computer Science Beijing University of Posts and Telecommunications Beijing

ISBN: (纸本)9781665441506

Fatigue driving results in a great damage to road safety. Therefore, monitoring the fatigue driving is essential to protect the traffic participants. In reality, fatigue driving behavior on highways is simply defined by driving time, while the measurement of fatigue driving in cities is not clear. It is difficult to monitor fatigue driving in urban areas in real time. In this paper, we propose a clear criterion for determining urban fatigue driving behavior. The criterion integrates the driver’s current driving status and objective factors on the road. To process a large number of continuous vehicle trajectories in real time, we propose a distributed paradigm based on a cluster of servers. In addition, we use federal learning in our experiments for fatigue driving prediction while protecting user privacy. Finally, we confirm the performance of our proposal in real data published by DiDi.

关键词： Privacy Storms Urban areas Fatigue Real-time systems Time measurement Road safety

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Research on multistage forwarding of media stream 8th

Research on multistage forwarding of media stream

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8th international conference on computer Engineering and Networks, CENet 2018

作者： Zhao, Meili Xiong, Guoquan Fu, Jianghui Jiang, Meizhu Wang, Hongling East China University of Technology Nan Chang330013 China

ISBN: (纸本)9783030146795

InÂ order to make full use of existing video monitoring systems, one urgent task of the network operation and management is to establish the provincial networking video monitoring system currently. According to the actual demand of the expressway management project in Sichuan Province as the background, basedÂ onÂ the VideoÂ network monitoring platform, we design a parallel to the administrative structure of the media flow in multistage forwarding mechanism, multi-level and multi-domain resource access, and design the media stream and control flow between stages. With the design idea to realize the centralized monitoring, distributed management, realize the sharing of video resources in different jurisdictions. The results of this research have been successfully applied in Sichuan Province, and have achieved remarkable results. © Springer Nature Switzerland AG 2020.

关键词： monitoring

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2nd international conference on Urban Intelligence and Applications, ICUIA 2020

2nd International Conference on Urban Intelligence and Appli...

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2nd international conference on Urban Intelligence and Applications, ICUIA 2020

ISBN: (纸本)9789813346000

The proceedings contain 26 papers. The special focus in this conference is on Urban Intelligence and Applications. The topics include: Time-Delay Rotor control via Linear Quadratic Regulator;target Track Recognition from Few-Labeled Radar Data with Outliers;Sentiment Analysis of Chinese Agricultural News Based on the JST Model;semi-global Alignment of Range Videos;recent Advances of Generic Object Detection with Deep Learning: A Review;boundary Enhanced Network for Improved Semantic Segmentation;measurement and Empirical Analysis of Hangzhou Smart City Development Index;highway Network Traffic Survey Point Layout Planning Method Based on Machine Learning-Optimization Hybrid Algorithm;Simulation of Ship Path Prediction and Remote control Based on UE4 Next Generation Rendering;urban Scene Recognition via Deep Network Integration;classroom Engagement Evaluation Using Multi-sensor Fusion with a 180 ∘ Camera View;planning and Design of distributed Power Grid Based on Weed Algorithm;brain Tumor Segmentation Algorithm Based on Attention Mechanism and Hybrid Cascaded Network;model-Based intelligent Non-linear Signal Recognition for Gearbox Condition monitoring;multi-scale Graph Convolutional Neural Network for Object Recognition from Point Cloud Data;point Set Registration of Large Deformation Using Auxiliary Landmarks;preface;recommendation Based on Attention Degree and Entropy;An EEMD-IVA Approach to Removing Muscle Artifacts from the Electroencephalogram;data Mining Technology in Detection and Identification of Bad Data in Power System;a Task-Aware Network for Multi-task Learning;an Improved Local Binary Descriptor Based Polar Gridding for Rotation Change;label Distribution Learning-Based Semantic Retrieval Model on Knowledge Graph;environmental monitoring of Communication Base Station Based on Zigbee.

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