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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

共 5113 条记录，以下是1491-1500 订阅

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Direction Finding Using Coprime Array with sensor Gain and Phase Errors 3

Direction Finding Using Coprime Array with Sensor Gain and P...

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3rd ieee international conference on Cloud computing and Internet of Things, CCIOT 2018

作者： Xu, Haiyun Zhang, Yankui Ba, Bin Institute of Information System Engineering Information Engineering University Zhengzhou China

ISBN: (纸本)9781538671412

This paper investigates the issue of direction finding of multiple signals using coprime array with sensor gain and phase errors. As the sensor errors decrease the performance of direction estimation, it proposes a calibration method with one signal, where one accurate direction signal enables to obtain high precise result. By building the rough direction signal in real system as usual, it introduces the gain self-calibration and iterative self-calibration to enhance the performance of error estimation, which is based on the rough error estimate by one signal calibration. Considering the analysis of computational complexity and performance simulation, the gain self-calibration improves the performance in low signal to noise ratio compared with no self-calibration and the iterative self-calibration gets the best performance with the most computational complexity. With known error values, it can be found more signals than the sensor number with coprime array. © 2018 ieee.

关键词： Computational complexity

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Topological Task of distributed Generation Placement Using a Pareto Optimization 3

Topological Task of Distributed Generation Placement Using a...

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3rd ieee international conference on Intelligent Energy and Power systems (IEPS)

作者： Bodunov, Vadim Kulko, Tetiana Prystupa, Anatoliy Gai, Alexander Chernihiv Natl Univ Technol Dept Elect Syst & Networks Chernihiv Ukraine Chernihiv Natl Univ Technol Dept Informat Measuring Technol Metrol & Phys Chernihiv Ukraine Natl Univ Life & Environm Sci Ukraine Dept Power Supply Kiev Ukraine

ISBN: (纸本)9781538695456

It is suggested to use the topological task (TT) for select the placement of distributed generation (DG). A TT can't be solved by methods of functional analysis, because it is a problem with variable parameters. The solution of the TT is suggested to represent in the form of the Pareto-optimal area. Nonlinearity of target functions of the TT of DG placement leads to the expansion of the Pareto-optimal solutions in the direction of the global extremums according to certain criteria. It is shown that TT can be described analytically, provided that the conduction cross sections are unchanged in the domain of admissible solutions. In this case, the polygon of the objective functions extremums sufficiently clearly describes the Pareto set. This situation will be observed with considerable resistance of the power electrical system source both at autonomous feeding of consumers from DG, and at work of DG in parallel with the power system. Changing the cross sections of conductors due to the implementation of technical limitations on emergency modes causes the first-order gap in the target functions. This leads to a significant expansion of the Pareto set. At the same time, the growth of the numerical values of individual criteria on the boundary of the Pareto set can be doubled in comparison with the minimum values. This should be taken into account when making a final decision on the placement of the DG.

关键词： distributed generation topology target functions Pareto optimality

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A Survey on Automatic Emotion Recognition Using Audio Big Data and Deep Learning Architectures 4

A Survey on Automatic Emotion Recognition Using Audio Big Da...

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4th ieee international conference on Big Data Security on Cloud (BigDataSecurity) / 4th ieee international conference on High Performance and Smart computing (HPSC) / 3rd ieee international conference on Intelligent Data and Security (IDS)

作者： Zhao, Huijuan Ye, Ning Wang, Ruchuan Nanjing Univ Posts & Telecommun Coll Internet Things Nanjing Jiangsu Peoples R China Nanjing Inst Ind Technol Coll Comp Sci & Software Nanjing Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Coll Comp Nanjing Jiangsu Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538643990

Traditional speech emotion recognition is based on the pipeline of pre-processing, feature extraction, dimensionality reduction and classification. Recognition performance such as the accuracy largely depends on the professional feature engineering and the classifier, which will be more difficult in the scenario of big data. Recently, many emotion researchers trend the direction to automatic emotion recognition from the raw signal, the motivation behind this is that neural network can learn representation and find the final result automatically. This work focuses on categorization and reviews on the current progress on end-to-end speech emotion recognition problems. In this survey, we discuss the requirement of the network model, process procedures and current achiements. We also explore some potential future issues in speech emotion recognition.

关键词： speech emotion recognition big data end-to-end raw data neural network

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Power Characterization of Raspberry Pi Agricultural sensor Nodes Using Arduino Based Voltmeter 3

Power Characterization of Raspberry Pi Agricultural Sensor N...

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3rd international conference on Computer and Communication systems (ICCCS)

作者： Cabaccan, Carlo N. Reidj, Febus Cruz, G. Mapua Univ Sch Grad Studies Intramuros Manila Philippines Mapua Univ Sch Elect Elect & Comp Engn Intramuros Manila Philippines

ISBN: (纸本)9781538663509

Power consumption as one of main problems in the development of efficient wireless sensor network, was assessed in this paper. The power consumption of Raspberry Pi based wireless sensor nodes was characterized at different states of operation, such as idling, sensing, processing, and transmitting. The power consumed was evaluated prior to deployment in agriculture field for environment monitoring. The shunt resistor was implied to calculate the power from the measured voltage drop using Arduino as voltmeter. The mathematical model of total power consumption was established to estimate the sensor node operational lifetime in network The power consumption model achieved a root mean square error of 9.02 hours, which obtained an accuracy of more than 80 %.

关键词： sensor nodes WSN raspberry Pi arduino power model

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A 0.8 V Low-Power 3rd order Sigma-Delta Modulator in 22 nm FDSOI CMOS Process for sensor Interfaces

A 0.8 V Low-Power 3rd order Sigma-Delta Modulator in 22 nm F...

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Annual ieee Northeast Workshop on Circuits and systems (NEWCAS)

作者： Pragoti Pran Bora David Borggreve Frank Vanselow Erkan Isa Linus Maurer Fraunhofer EMFT Munich Germany Universität der Bundeswehr München Neubiberg Germany

We present the design of a low-power 3rd order sigma-delta (ΣΔ) modulator targeted for sensor applications. The circuit is implemented in the 22 nm Fully Depleted Silicon on Insulator (FDSOI) CMOS process technology from GlobalFoundries. The modulator features a single-loop feedforward architecture. Low-voltage operation of the fully-differential switched-capacitor based modulator is achieved with enhanced bootstrapped switches for highly linear sampling., and operational transconductance amplifiers (OTAs) operating in weak inversion. The on-chip area of the modulator is 0.193 mm 2 . The measurement results show that operating over a signal bandwidth of 500 Hz at a nominal supply voltage of 0.8 V and a sampling rate of 512 kHz., the modulator achieves a peak signal-to-noise-and-distortion ratio (SNDR) of 89 dB and a dynamic range of 94 dB. The total average power consumption of the designed modulator, including that of the auxiliary circuits, is 170 μW.

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Non-Invasive Piezoelectric sensor for Detection of Lung Cancer 3

Non-Invasive Piezoelectric Sensor for Detection of Lung Canc...

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3rd ieee international conference on Communication and Electronics systems (ICCES)

作者： Bhattacharya, Diptarup Rathore, Pradeep Kumar Majumdar, Shubhankar Natl Inst Technol Meghalaya Dept Elect & Commun Engn Shillong 793003 Meghalaya India

ISBN: (纸本)9781538647653

Lung cancer is the leading cause of high mortality rates in human beings at present. The clinical techniques employed to detect such cancer are all invasive, less accurate and power in-efficient. Most of the people can't afford them. So this present work aims at developing a MEMS based sensor which is non-invasive, capable of detecting lung cancer at an early stage accurately with a good sensitivity and that too at a low cost. The sensor comprises a silicon square membrane that has clamped bridge-like structures on its sides. The suspended membrane has a layer of specific polymer coated which binds the particular Volatile Organic Compound (VOC) exhaled from the breath of a person. The proposed structure uses piezoelectric sensing with PZTs placed at the high stress region of the bridges. On exhalation, the membrane deflects due VOC binding onto the sensing layer, which in turn develops a potential on the PZTs. Finally a 2x3 array is designed to detect several such VOCs. The proposed sensor and the sensor array have been designed in the Intellisuite software version 8.9. Hence we can monitor the VOC concentration and differentiate between a healthy individual and a cancer patient.

关键词： MEMS membrane Piezoelectric VOCs cancer Intellisuite

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Proceedings - 3rd ieee international conference on Smart Cloud, SmartCloud 2018

Proceedings - 3rd IEEE International Conference on Smart Clo...

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3rd ieee international conference on Smart Cloud, SmartCloud 2018

ISBN: (纸本)9781538651827

The proceedings contain 37 papers. The topics discussed include: improving prediction accuracy in LSTM network model for aircraft testing flight data;application of transfer learning in continuous time series for anomaly detection in commercial aircraft flight data;serverless performance and optimization strategies;effectiveness analysis of web based simulation for computational science and engineering on improvement EDISON platform;a medical information service platform based on distributed cloud and blockchain;search over compute: solving multiplication-intensive computational problems over FHE data;a privacy-aware and user-centric approach for query processing in cloud;efficient expression recognition based on shape-indexed features;resource and service management for fog infrastructure as a service;and evaluating bio-inspired optimization techniques for utility price estimation in fog computing.

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3D Reconstructions with KinFu Using Different RGBD sensors 3

3D Reconstructions with KinFu Using Different RGBD Sensors

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3rd ieee international conference on Image Processing, Applications and systems, IPAS 2018

作者： Patiño Mejia, Isabel C. Zell, Andreas University of Tuebingen Tuebingen Germany

ISBN: (纸本)9781728102474

RGBD sensors are widely used in robotics and computer vision. Since the Microsoft Kinect was launched, various other sensors, such as the Asus Xtion PRO LIVE and the Intel R200, have been developed. Among other applications, these sensors are useful for 3D reconstruction, which can be achieved with KinFu (an open-source implementation of KinectFusion). Reconstructions of objects and people are useful in multiple fields such as computer graphics and ergonomics. In this paper, we analyze if the 3D reconstructions generated by KinFu depend on the sensor used to record its input. The analysis comprehends qualitative and quantitative evaluations of reconstructions created from point clouds recorded with six well-known sensors. The results suggest that the reconstruction is sensor dependent and the selection of a determined sensor is conditioned to the requirements of each application. © 2018 ieee.

关键词： Image reconstruction

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An Adaptive Scheme for Two-stage Multi-hypothesis Prediction 3

An Adaptive Scheme for Two-stage Multi-hypothesis Prediction

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ieee 3rd international conference on Signal and Image Processing (ICSIP)

作者： Chen, Can Hou, Shiming Zhou, Chao Ding, Fei Zhang, Dengyin Nanjing Univ Posts & Telecommun Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538663967

Existing two-stage multi-hypothesis reconstruction (2sMHR) schemes deploy a pixel-domain multi-hypothesis (MH) prediction after a measurement-domain recovery to break the limit of flexibility in reconstruction. However, these schemes for 2sMHR are sensitive to different types of videos because they select reference frames non-adaptively in pixel-domain recovery. To address this problem, we propose an adaptive scheme for 2sMHR in which we hold the assumption that the most accurate reference frame has the most significant weight. Specifically, we firstly integrate candidate reference frames into the same hypothesis set and utilize L1 norm to select the preferred frame as the reference to execute a secondary reconstruction. Simulation results demonstrate that the proposed scheme outperforms the state-of-the-art schemes in terms of stability.

关键词： distributed compressed video sensing (DCVS) multi-hypothesis (MH) prediction secondary reconstruction wireless video sensor networks (WVSN)

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Development of robotic arm for color based goods sorter in factory using TCS3200 sensor with a web-based monitoring system 3

Development of robotic arm for color based goods sorter in f...

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3rd international conference on Informatics and computing, ICIC 2018

作者： Panie, Gregorio Imanuel Efraim Mutiara, Achmad Benny Faculty of Computer Science and Information Technology Gunadarma University J1. Margonda Raya No.100 Depok16424 Indonesia

ISBN: (纸本)9781538669204

This system was made due to frequent errors in performing calculation of goods manufactured manually. The issues can be solved by using a TCS3200 sensor that can identifies the color of goods based on the color that has adjusted. The use of this sensor can be a solution that will help increase the productivity of companies. In this paper, it is described the development of color sensor that is used to sort items by color in the industrial world. Technology of this control system assist in making the Internet of Things products, as well as the mechanical systems in the form of a robot arm which consists of four micro servos are designed to pick up and put stuff in the container. The result of the arithmetic processing of goods displayed through a Web page that has been designed. The achievement is using a micro controller NodeMCU in programming sensor to sort items and adjust into the container. It is also included a solution to the color sensor to recognize colors using search algorithms. © 2018 ieee.

关键词： Color

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