Resource Type

Journal Article 11

Year

2021 1

2019 3

2016 4

2013 2

2007 1

Keywords

Neighbor discovery 2

k-nearest neighbor (k-NN) 1

k-nearest neighbor algorithm (k-NN) 1

Address resolution 1

Anonymous 1

Approximate nearest neighbor search 1

Docking applications 1

Image analysis 1

Image coding 1

Image pre-processing 1

Leakage detection and localization 1

Mobility-assisted slot index synchronization 1

Network security 1

Principle component analysis 1

Slot index synchronization 1

Vector quantization 1

active vibration control (AVC) 1

close contour 1

contour tree 1

open ︾

Search scope:

排序： Display mode:

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 299-310 doi: 10.1007/s11783-015-0825-7

Abstract: The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualitiesThe search range and approach for determining the number of nearest neighbors (NNs) under dry and wetOverall, the k-NN method was verified to be useful for predicting WWTP influent characteristics.

Keywords： influent wastewater     prediction     data-driven model     k-nearest neighbor method (k-NN)    

HTML PDF Collect

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm(k-NN) for equipment under test status identification was proposed after using feature matchingthe unknown class sample Sr was classified by the k-NN

Keywords： multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

HTML PDF Collect

Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 81-84

Abstract:

  Slurry is widely used in construction projects, and it is important to control the slurry's physical characteristic properly. The acoustic method is used,  which can effectively monitor the physical parameters of slurry,  such as concentration. Data processing affects directly the precision in the measurement of slurry concentration by the sound attenuation and velocity. Based on the fuzzy pattern recognition, data are sorted and further classified, with cooperative clustering algorithm.

Keywords： fuzzy pattern recognition     nearest neighbor(NN)     cooperative clustering algorithm(CCA)     slurry concentration    

HTML PDF Collect

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer electrical appliances classification

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 386-398 doi: 10.1007/s11708-017-0497-z

Abstract: trajectory plot template images before utilizing the principal component analysis (PCA) and the -nearestneighbor ( -NN) algorithm.contribution of this paper is in utilizing the “ -value,” the number of closest data points to the nearestneighbor, in the -NN algorithm to be effective in classification of electrical appliances.

Keywords： >I) trajectory     multi-stage classification algorithm     principal component analysis (PCA)     k-nearestneighbor (k-NN)    

HTML PDF Collect

Vector quantization: a review Regular Papers

Ze-bin WU, Jun-qing YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 507-524 doi: 10.1631/FITEE.1700833

Abstract: Over the past decade, quantization-based approximate nearest neighbor (ANN) search has been developing

Keywords： Approximate nearest neighbor search     Image coding     Vector quantization    

HTML PDF Collect

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques Reiew

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Engineering 2021, Volume 7, Issue 6,   Pages 758-776 doi: 10.1016/j.eng.2020.08.026

Abstract: The k-nearest neighbor algorithm is used to classify the blocks as normal (without leakage)

Keywords： Leakage detection and localization     Image analysis     Image pre-processing     Principle component analysis     k-nearestneighbor classification    

HTML PDF Collect

A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Frontiers in Energy 2016, Volume 10, Issue 4,   Pages 382-392 doi: 10.1007/s11708-016-0421-y

Abstract: To address these problems, an offline trained NN with data incorporating stator resistance variationof the voltage model to form a new scheme named as “NN-FLUX-MRAS.”The NN-FLUX-MRAS uses two neural networks, namely, offline trained NN as the reference model and onlinetrained NN as the adaptive model.The proposed NN-FLUX-MRAS is shown to overcome the low speed problems in Matlab simulation.
HTML PDF Collect

An algorithm of neighbor relationship oriented contour tree building

Guo Peipei,Li Chengming,Yin Yong

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 42-46

Abstract:

A contour tree has been found many important applications in extraction of terrain structure lines, terrain analysis, etc. A regular contour tree expressing the spatial relationship of contours is difficult to build, even with data of high quality. A new method is proposed in this paper： classify contours into close group and open group; build contour tree for each group respectively; finally amalgamate these two contour trees into one. With the elevation values, spatial relationship of contours is of easy accessibility. The result shows that the above mentioned method is correct and effective.

Keywords： contour tree     neighbor relationship     elevation value     close contour     unclosed contour    

HTML PDF Collect

Reducing neighbor discovery latency in docking applications Research Articles

Shuai-zhao JIN, Zi-xiao WANG, Ya-bo DONG, Dong-ming LU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1147-1164 doi: 10.1631/FITEE.1800412

Abstract: Neighbor discovery is important for docking applications, where mobile nodes communicate with staticAmong the existing neighbor discovery protocols, the probabilistic methods perform well in average caseswhich is a new synchronization technique that can improve the average-case performance of deterministic neighborWe show that MASS can reduce the average discovery latency of state-of-the-art deterministic neighbor

Keywords： Neighbor discovery     Docking applications     Slot index synchronization     Mobility-assisted slot index synchronization    

HTML PDF Collect

Anonymous-address-resolution model Article

Guang-jia SONG,Zhen-zhou JI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 10,   Pages 1044-1055 doi: 10.1631/FITEE.1500382

Abstract: Traditional ARPs (address-resolution and neighbor-discovery protocols) do not consider the existenceexperiments show that AS-AR has a higher security level than existing security methods, such as secure-neighbor

Keywords： Network security     Address resolution     Neighbor discovery     Anonymous    

HTML PDF Collect

Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 109-117 doi: 10.1007/s11465-013-0252-z

Abstract:

A neural-network (NN)-based active control system was proposed to reduce the low frequency noise radiationMulti-frequency control in frequency domain was achieved by simulation through the NN-based control systemsThe NN-based control algorithm was shown to perform effectively.

Keywords： active vibration control (AVC)     neural network (NN)     low frequency noise     frequency domain control     multi-frequency    

HTML PDF Collect

Title Author Date Type Operation

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Journal Article

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Journal Article

Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Journal Article

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer electrical appliances classification

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Journal Article

Vector quantization: a review

Ze-bin WU, Jun-qing YU

Journal Article

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Journal Article

A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector

Venkadesan ARUNACHALAM,Himavathi SRINIVASAN,A. MUTHURAMALINGAM

Journal Article

An algorithm of neighbor relationship oriented contour tree building

Guo Peipei,Li Chengming,Yin Yong

Journal Article

Reducing neighbor discovery latency in docking applications

Shuai-zhao JIN, Zi-xiao WANG, Ya-bo DONG, Dong-ming LU

Journal Article

Anonymous-address-resolution model

Guang-jia SONG,Zhen-zhou JI

Journal Article

Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Journal Article