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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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Human Activity Recognition using Smartphone sensors and Beacon-based Indoor Localization for Ambient Assisted Living systems 16

Human Activity Recognition using Smartphone Sensors and Beac...

引用

ieee 16th international conference on Intelligent Computer Communication and Processing (ICCP)

作者： Vesa, Andreea Valeria Vlad, Simion Rus, Renato Antal, Marcel Pop, Claudia Anghel, Ionut Cioara, Tudor Salomie, Ioan Tech Univ Cluj Napoca Dept Comp Sci Distributed Syst Res Lab Cluj Napoca Romania

ISBN: (纸本)9781728190808

The aim of this paper is to present a novel indoor human activity recognition system designated for ambient. assisted living environments. To overcome the drawbacks of current solutions in terms of equipment costs and computational complexity, we propose a simple yet robust activity recognition system that combines the output of an activity classification algorithm using smartphone sensors such as accelerometer and gyroscope with a Beacon-based indoor localization predictor to detect more complex activities based on a decision rule system. For the multiclass classification algorithm we employ a ConvL-STM algorithm, while for the positioning system we propose an ensemble based solution combining Multilayer Perceptron with Gradient Boosted Regression and k Nearest Neighbors. Our solution has been tested in a controlled home environment setup achieving an average localization error of 0.4m while for the final activity recognition system we report an accuracy of 91.0% concluding that the proposed solution is accurate enough to be integrated as a monitoring tool facility within ambient assisted living systems.

关键词： human activity recognition ambient assisted living indoor localization machine learning deep learning smartphone sensors Beacon sensor ensemble learning

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An Efficient Data Aggregation Approach for Prolonging Lifetime of Wireless sensor Network 2nd

An Efficient Data Aggregation Approach for Prolonging Lifeti...

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2nd international conference on Innovative computing and Communication, ICICC 2019

作者： Gupta, Bhupesh Rana, Sanjeev Sharma, Avinash Mullana India

ISBN: (纸本)9789811503238

In today’s environment the aim of wireless sensor network is not restricted to data gathering. But also focus on extraction of useful information. Data aggregation is the term used for extraction of useful information. Data aggregation helps in gathering and aggregating data in energy-efficient way so that network lifetime is heightened. This paper presents a data aggregation approach Mutual Exclusive Sleep Awake distributed Data Aggregation (MESA2DA). This approach merges with our previous work Mutual Exclusive Sleep Awake distributed Clustering (MESADC). MESA2DA approach selects cluster head on the basis of MESADC protocol. After that, data aggregation is done by cluster head on its cluster members to remove redundancy, so that the packets delivered to base station are reduced which helps in prolonging lifetime of wireless sensor network. The results obtained with MESA2DA approach are compared with HEED protocols in terms of average energy, delay, throughput, and packet delivery ratio and one finds that the proposed approach is efficient in prolonging lifetime of wireless sensor network. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Wireless sensor networks

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The Wavelet Filtration Denoising in the Raman distributed Temperature Sensing 14

The Wavelet Filtration Denoising in the Raman Distributed Te...

引用

14th ieee international Scientific and Technical conference on Dynamics of systems, Mechanisms and Machines (Dynamics)

作者： Ershov, Ivan A. Stukach, Oleg, V Sychev, Igor, V Tsydenzhapov, Igor B. Novosibirsk State Tech Univ Novosibirsk Russia Natl Res Univ Higher Sch Econ Moscow Russia KEEPLINE R&D Novosibirsk Russia

ISBN: (纸本)9781728180960

Up to now a distributed optical fiber Temperature sensor (DTS) based on the Raman scattering exhibits a relatively low characteristic causes sharp temperature changes to be improved. Modeling metrological characteristics has a long history but essential progress did not achieved. This paper presents a novel technique of the extremal filtration developed to improve the DTS temperature and partially spatial resolution. The algorithm is based on wavelet transformation of backscattered anti-Stokes and Stokes signals and deconvolution on high-frequency components with total regularization of variations. Experimental results correctly agree with real modeling values with denoising ones. The advantage is the ability to reconstruct temperature with 0.01 degree accuracy at fixed spatial resolution. We present a lot of simulations and figures demonstrated the efficacy of the proposed technique.

关键词： fiber optical temperature sensor DTS spatial resolution measurement accuracy EMD data processing Raman scattering observation of unsafe production

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Design and Calibration of a Digital Thermal sensor

Design and Calibration of a Digital Thermal Sensor

引用

international conference on Intelligent computing and Control systems (ICICCS)

作者： Sharma, Vikas Mittal, Vikas Kumar, Prashanth NIT Kurukshetra Sch VLSI & Embedded Syst Kurukshetra Haryana India NIT Kurukshetra Dept Elect & Commun Engn Kurukshetra Haryana India Intel Corp FAO MIG Dept Bengaluru Karnataka India

ISBN: (纸本)9781728148762

In this paper, architecture of a digital thermal sensor has been analyzed and developed using 10nm Complementary Metal-Oxide Semiconductor (CMOS) technology. This work proposed to integrate the bandgap-based voltage reference with Analog-to-Digital-Converter (ADC) to realize a digital thermal sensor with improved accuracy. The voltage reference is designed with. 1% inaccuracy from -40 degrees C to 130 degrees C, with a temperature coefficient of 0.64 ppm/degrees Celsius, Power supply rejection ratio (PSRR) of -40 dB at 10 GHz and a line regulation of 0.12 %/V. Analog voltages generated by Bandgap Reference (BGR) are fed to the ADC having two inputs from a voltage reference for further processing. One is bandgap voltage that is the reference voltage, and the other one is Emitter-Base voltage of a pnp transistor that, is a Complementary to absolute temperature (CTAT) voltage. With These two input voltages, the 8-bit ADC, generates unique raw code at respective temperatures varying from -40 degrees C to 130 degrees C with 10 degrees C step size. Calibration is done then to convert the respective raw codes into the equivalent temperature values. The contribution of this work is to present a design of the bandgap voltage reference and its integration into an ADC, which serves as a temperature measurement device using Cadence Virtuoso tool.

关键词： ADC BGR CTAT DEM PTAT PVT ZTAT

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PulSync: The Heart Rate Variability as a Unique Fingerprint for the Alignment of sensor Data Across Multiple Wearable Devices

PulSync: The Heart Rate Variability as a Unique Fingerprint ...

引用

ieee Annual conference on Pervasive computing and Communications Workshops (PerCom)

作者： Florian Wolling Kristof van Laerhoven Pekka Siirtola Juha Röning Ubiquitous Computing University of Siegen Siegen Germany Biomimetics and Intelligent Systems Group University of Oulu Oulu Finland

ISBN: (纸本)9781665404242;9781665447249

Most off-the-shelf wearable devices do not provide reliable synchronization interfaces, causing multi-device sensing and machine learning approaches, e.g. for activity recognition, still to suffer from inaccurate clock sources and unmatched time. Instead of using active online synchronization techniques, such as those based on bidirectional wireless communication, we propose in this work to use the human heartbeat as a reference signal that is continuously and ubiquitously available throughout the entire body surface. We introduce PulSync, a novel approach that enables the alignment of sensor data across multiple devices utilizing the unique fingerprint-like character of the heart rate variability interval function. In an evaluation on a dataset from 25 subjects, we demonstrate the reliable alignment of independent ECG recordings with a mean accuracy of -0.71±3.44 samples, respectively -2.86±11.43 ms at 250 Hz sampling rate.

关键词： Wireless communication Wireless sensor networks Tracking Wearable computers conferences Fingerprint recognition Electrocardiography

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distributed Collection of Environmental Data Using IoT Technology

Distributed Collection of Environmental Data Using IoT Techn...

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international Mechatronics conference

作者： Dudak, Juraj Fabo, Peter Gaspar, Gabriel Kuba, Michal Buchholcerova, Anna Slovak Univ Technol Bratislava Fac Mat Sci & Technol Trnava Trnava Slovakia Univ Zilina Res Ctr Zilina Slovakia Univ Zilina Fac Elect Engn & Informat Technol Zilina Slovakia TNtech Sro Bytca Slovakia

ISBN: (纸本)9783030299934;9783030299927

The paper deals with the use of IoT technology for distributed collection of environmental data, focused mainly on local meteorology in urbanized environment. The requirements for a reliable and long-term use of IoT sensor network and the communication platform between nodes are summarized, with an emphasis placed on (data) reliability and long-term exterior use. Discussed is used technology, solution of data collection using IoT technologies, energy management of measuring nodes and network structure. Procedures for time series resampling with pseudorandom sampling are described for data processing.

关键词： Internet of Things sensors Data collection Data processing Resampling Time series Pandas

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distributed Energy Resources Based EV Charging Station with Seamless Connection to Grid

Distributed Energy Resources Based EV Charging Station with ...

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international conference on computing, Communication & Automation (ICCCA)

作者： Pavitra Shukl Bhim Singh Indian Institute of Technology Delhi New Delhi India

ISBN: (纸本)9781665447539

The work implements the common DC bus electric vehicles (EVs) charging infrastructure based on hybrid renewable energy sources such as solar photovoltaic (PV) and fuel cell. The requisite to incorporate distributed energy resources (DERs) is attributed to the escalating concern for decarbonisation with improved power quality requirements. Furthermore, the bidirectional flow of power enables the transition between modes of grid presence/absence. The utilization of an adaptive comb filter is achieved for satisfactory operation during mode with synchronization ability along with power transfer proficiency and improved power quality requirements. The utilization of common DC bus charging mechanism for EVs, facilitates fast charging capability at higher voltage levels. Thus, for validation and corroboration of the system behavior, its performance is authenticated during weak grid conditions in conjunction with grid connected/islanded modes of operation.

关键词： Photovoltaic systems Renewable energy sources Power quality Fuel cells Microgrids Comb filters Electric vehicle charging

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Bus voltage estimation of ieee-12 bus radial structured microgrid feeder: A regression-based approach

Bus voltage estimation of ieee-12 bus radial structured micr...

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2020 ieee international conference on computing, Power and Communication Technologies, GUCON 2020

作者： Soni, Yuvraj Praveen Fernandez, Eugene IIT Roorkee Electrical Engineering Department Roorkee Uttarakhand India

ISBN: (纸本)9781728150703

Increasing air pollution and depletion of fossil fuels are pushing the world towards renewable energy implementation. Renewable sources such as Solar Photovoltaics (PV) and Wind power are stochastic, and implementation of such distributed generators in a rural distribution system gives rise to many problems such as voltage stability problem, load control, power quality and converter control. Evaluation of these quantities is done in the planning phase of the microgrid, but due to intermittency in power, these parameters have to be monitored throughout the operation of the system. One of the main parameters to be checked is the voltage at individual buses which has to be observed and controlled to operate the system in stable condition. While several methods are available in the literature to model the load flow of distributed systems, the use of regression modelling has not been examined much. In this paper, linear regression modelling has been proposed for ieee - 12 bus feeder, which can be a part of a rural microgrid, to estimate the bus voltage at a given bus considering five input parameters, namely, section resistance, reactance, bus active and reactive powers and voltage at the previous bus. The above analysis has been applied to the case of the 12 bus ieee feeder and the results show that regression modelling can serve as an analytical tool for distribution feeder bus voltage estimation with variable loadings at the buses. © 2020 ieee.

关键词： Quality control

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7-GHz Measurement System for in-situ Space/Material Channel Characterisation

7-GHz Measurement System for in-situ Space/Material Channel ...

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

作者： Tanbir Bakth Nabil Per Ängskog José Chilo University of Gävle Gävle Sweden

ISBN: (纸本)9781665426060

The fifth generation (5G) mobile communication system will change the world through intelligent mobile devices and flexible networks to offer a new wide range of applications. mmWave radio propagation combined with a variety of new frequencies and bandwidth creates new radio measurement challenges. There are major limitations when it comes to mmWave components and measuring instruments. In this work we have designed and built a 7-GHz measuring system intended for in-situ channel characterization in environments where transmitters and receivers are located at different heights, like e.g. wireless sensor network installations. Such configurations are likely to be commonplace with the advent of e.g. Industry 4.0. The system has been tested in space experiments, where the distance and height between transmitter and receiver were changed. In addition, wave propagation behavior was studied through different materials placed between transmitter and receiver. The measurement system presented in this paper will provide an insight into the design of similar 5G test systems.

关键词： Antenna measurements Wireless sensor networks 5G mobile communication Radio transmitters Transmitting antennas Signal generators Time measurement

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BSDP: A Novel Balanced Spark Data Partitioner

BSDP: A Novel Balanced Spark Data Partitioner

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international conference on Parallel and distributed systems (ICPADS)

作者： Aibo Song Bowen Peng Jingyi Qiu Yingying Xue Mingyang Du School of Computer Science and Engineering Southeast University Nanjing China Nanjing Foreign Language School Nanjing China

ISBN: (纸本)9781665408790

As a memory-based distributed big data computing framework, Spark has been widely used in big data processing systems. However, during the execution of Spark, due to the imbalance of input data distribution and the shortage of existing data partitioners in Spark, it is easy to cause partition skew problem and reduce the execution efficiency of Spark. Aiming at this problem, this paper proposes a balanced Spark data partitioner called BSDP (Balanced Spark Data Partitioner). By deeply analyzing the partitioning characteristics of Shuffle intermediate data, the Spark Shuffle intermediate data equalization partitioning model is established. The model aims to minimize the partition skew and find a Shuffle intermediate data equalization partitioning strategy. Based on the model, this paper designs and implements a data equalization partitioning algorithm of BSDP. This algorithm transforms the Shuffle intermediate data equalization partitioning problem into a classic List-Scheduling task scheduling problem, effectively realizes the balanced partitioning of Shuffle intermediate data. The experiment verifies that the BSDP can effectively realize the balanced partitioning of the Shuffle intermediate data and improve the execution efficiency of Spark.

关键词： Analytical models Computational modeling distributed databases Transforms Big Data Data models Scheduling

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