Search

  • Select Article Type
  • Abstract Supplements
  • Blood Group Review
  • Call to Arms
  • Hypothesis
  • In Memoriam
  • Interview
  • Introduction
  • Letter to the Editor
  • Short Report
  • abstract
  • Abstracts
  • Article
  • book-review
  • case-report
  • case-study
  • Clinical Practice
  • Commentary
  • Conference Presentation
  • conference-report
  • congress-report
  • Correction
  • critical-appraisal
  • Editorial
  • Editorial Comment
  • Erratum
  • Events
  • Letter
  • Letter to Editor
  • mini-review
  • minireview
  • News
  • non-scientific
  • Obituary
  • original-paper
  • original-report
  • Original Research
  • Pictorial Review
  • Position Paper
  • Practice Report
  • Preface
  • Preliminary report
  • Product Review
  • rapid-communication
  • Report
  • research-article
  • Research Communicate
  • research-paper
  • Research Report
  • Review
  • review -article
  • review-article
  • review-paper
  • Review Paper
  • Sampling Methods
  • Scientific Commentary
  • short-communication
  • short-report
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • In Jour Smart Sensing And Intelligent Systems
  • International Journal Advanced Network Monitoring Controls
  • Statistics In Transition

 

Research paper | 20-February-2013

DATA FUSION ALGORITHM OF FAULT DIAGNOSIS CONSIDERING SENSOR MEASUREMENT UNCERTAINTY

This paper presents data fusion algorithm of fault diagnosis considering sensor measurement uncertainty. Random-fuzzy variables (RFV) are used to model testing patterns (TPs) and fault template patterns (FTPs) respectively according to on-line sensor monitoring data and typical historical sensor data reflecting every fault mode. A similarity measure is given to calculate matching degree between a TP and each FTP in fault database such that Basic Probability Assignment (BPA) can be obtained by

Xu Xiaobin, Zhou Zhe, Wen Chenglin

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 171–190

Article | 02-April-2020

Research on House Price Prediction Based on Multi-Dimensional Data Fusion

circle, the dimension of the house, and the longitude of the house. This paper will build a data fusion model. The input information of this model is the seven factors that affect house prices, and the output information is the price of commercial housing. After the data fusion model has been established, only the attributes that affect house prices are entered into the data fusion model, and the price of the commercial house can be obtained. A. Research Background and Significance With the

Yonghui Yang

International Journal of Advanced Network, Monitoring and Controls, Volume 5 , ISSUE 1, 1–8

Article | 01-December-2012

A MODEL FOR FUZZY DATA CORREALATION OF AIS AND RADAR

With the development of Automatic Identification System (AIS), more and more vessels are equipped with AIS device, which is a new tool for vessel monitoring and marine safety. In this paper, we compared the function of AIS and radar, the traditional tool for Vessel Traffic Service (VTS). And then we discussed the necessity of data fusion of the same target from the two sensors of AIS and radar. According to the characteristic and the difference of tracking performance of AIS and radar we

Liu Chang, Cao Ming-zhi, Han Feng, Shi Gui-ming, Liu Ren-jie

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 843–858

Article | 01-December-2014

RESEARCH ON UNDERWATER TARGET SIGNAL DETECTION AND RECOGNITION PROCESSING ALGORITHM

Practical application of underwater target echo signal usually get disturbed a Gaussian noise and non-Gaussian noise, in view of the signal recognition problem, this paper proposes a double spectrum analysis based on wavelet transform domain method of weak signal and D-S data fusion algorithm. Through the study of double spectrum of the wavelet transform domain analysis to the signal processing algorithm, the characteristics of the target signal and noise source signal, a processing method of

Lijuan Wang, Xiaojing Liu

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1753–1772

Article | 15-September-2020

Model selection in radon data fusion

Xuze Zhang, Saumyadipta Pyne, Benjamin Kedem

Statistics in Transition New Series, Volume 21 , ISSUE 4, 159–165

Article | 01-December-2015

FAST RCS MODELING FOR DYNAMIC TARGET TRACKING

Xiang Hua, Wuwei Yuan, Bin Lei

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 4, 1956–1976

Article | 23-April-2018

Research on Balanced Energy Consumption of Wireless Sensor Network Nodes Based on Clustering Algorithm

Jie Huang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 15–19

Research Article | 20-February-2013

Traffic Signal Control for Urban Trunk Road Based on Wireless Sensor Network and Intelligent Algorithm

Based on the analysis for the present research on controlling urban trunk road, a intelligent control method for urban trunk road based on wireless sensor and fuzzy neural network was proposed. In this method, we took two layers of WSN structure. The first one was data collecting layer, which consisted of traffic information collecting nodes and sink nodes. Data collecting layer was responsible for collecting vehicle information at single crossing, transmitted to the second layer after data

Peng Xiaohong, Mo Zhi, Liao Riyao

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 352–367

Research Article | 02-November-2017

MULTI-TARGET, MULTI-SENSOR TRACKING BASED ON QUALITY-OF-INFORMATION AND FORMAL BAYESIAN FRAMEWORKS

We consider a multi-target tracking problem that aims to simultaneously determine the number and state of mobile targets in the field. Conventional paradigms tend to report only the existence and state of targets according to centralized detection and data fusion. On the contrary, we investigate a multi-target, multi-sensor scenario in which (a) both the number and the state of the targets are unknown a priori; and (b) the detection with respect to targets is employed in a distributed manner

Juo-Yu Lee, Kung Yao

International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 4, 842–857

No Record Found..
Page Actions