scholarly journals K-Means Clustering-Based Electrical Equipment Identification for Smart Building Application

Information ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 27 ◽  
Author(s):  
Guiqing Zhang ◽  
Yong Li ◽  
Xiaoping Deng
Keyword(s):  
Euclidean Distance ◽  
Electrical Equipment ◽  
Equipment Management ◽  
Electrical Characteristics ◽  
Cluster Centroid ◽  
Distance Threshold ◽  
Smart Building ◽  
Load Characteristics ◽  
Biot System ◽  
Identification Model

With the development and popular application of Building Internet of Things (BIoT) systems, numerous types of equipment are connected, and a large volume of equipment data is collected. For convenient equipment management, the equipment should be identified and labeled. Traditionally, this process is performed manually, which not only is time consuming but also causes unavoidable omissions. In this paper, we propose a k-means clustering-based electrical equipment identification toward smart building application that can automatically identify the unknown equipment connected to BIoT systems. First, load characteristics are analyzed and electrical features for equipment identification are extracted from the collected data. Second, k-means clustering is used twice to construct the identification model. Preliminary clustering adopts traditional k-means algorithm to the total harmonic current distortion data and separates equipment data into two to three clusters on the basis of their electrical characteristics. Later clustering uses an improved k-means algorithm, which weighs Euclidean distance and uses the elbow method to determine the number of clusters and analyze the results of preliminary clustering. Then, the equipment identification model is constructed by selecting the cluster centroid vector and distance threshold. Finally, identification results are obtained online on the basis of the model outputs by using the newly collected data. Successful applications to BIoT system verify the validity of the proposed identification method.

The Influence on Electrical Characteristics of Contact WCu and Ti3SiC2 Material

2012 ◽  
Vol 427 ◽  
pp. 185-190 ◽  
Author(s):  
Zhan Kai Li ◽  
Jing Qin Wang ◽  
Fu Min Zhang ◽  
Meng Yu Li ◽  
Hao Hua Li ◽  
...  
Keyword(s):  
High Voltage ◽  
Low Voltage ◽  
Electrical Equipment ◽  
Small Scale ◽  
Electrical Characteristics ◽  
High Melting Point ◽  
Vacuum Switch ◽  
New Material ◽  
Switching Equipment ◽  
Better Than

Electrical contractor affects reliability and working life of switches and electrical equipment directly, which is the key component of high-voltage and low-voltage apparatus. Nowadays, all fields of mid-voltage and above are occupied by vacuum switch. The invention of contactor material CuCr promotes the development of electrical contractor material and vacuum switch though the weakness can not be ignored. This paper makes a study and analysis about the performance of traditional electrical contractor material WCu. Its believed that alloy WCu has the high conductivity and high thermal conductivity of W, and the ability to improve applying condition and reduce electrical corrosion of Cu. So the experiment is made to test electrical characteristics of material WCu which is doping with different element. The performance of a new electrical contractor material, named Ti3SiC2, which is better than alloy WCu is put forward. This material meets the requirement, including high voltage, huge capacity, small scale, for switching equipment to develop grid, as the new material has advantage of low density, high modulus, high melting point, and antioxidant and so on. The successful application improves its superiority in the field of electrical contractor material.

Comparative Study of ECG Based Identification

2015 ◽  
Vol 713-715 ◽  
pp. 700-703
Author(s):  
Gang Zheng ◽  
Ya Rong Wang ◽  
Qin Qin ◽  
Yang Li ◽  
Zhong Yi Li
Keyword(s):  
Hausdorff Distance ◽  
Euclidean Distance ◽  
Analysis Data ◽  
Acceptance Rate ◽  
Support Vector ◽  
Threshold Method ◽  
Person Identification ◽  
Identification Procedure ◽  
Distance Threshold ◽  
Linear Distance

ECG waveform has becoming a new kind of Biometric signal for person identification recently. The identification procedure was based on the establishment of person's own ECG waveform template, one beat of ECG waveform was used as analysis data, 15 persons were involved in the study. In the paper, several algorithms are compared for their ability to identify person. The algorithms are coefficient threshold method and Euclidean distance threshold method, their measurement was based on linear distance. Hausdorff distance threshold method as a non linear distance was also compared. Except this, SWM(support vector machine) was also introduced to do the identification work. From the experimental results, Euclidean distance threshold method and the Hausdorff distance threshold method reached same level of identification, the acceptance rate is around 76.0%, the correlation coefficient threshold method reached 86.0%. As to the SVM, its acceptance rate near 96.0%. Although the amount of experiment data was relatively small, but the result give the researching in good promising and better prospecting.

scholarly journals Plane and planarity thresholds for random geometric graphs

2019 ◽  
Vol 12 (01) ◽  
pp. 2050005
Author(s):  
Ahmad Biniaz ◽  
Evangelos Kranakis ◽  
Anil Maheshwari ◽  
Michiel Smid
Keyword(s):  
Euclidean Distance ◽  
Independent Set ◽  
Geometric Graph ◽  
Threshold Function ◽  
Geometric Graphs ◽  
Connected Subgraph ◽  
Random Geometric Graph ◽  
Distance Threshold ◽  
Random Geometric Graphs ◽  
Straight Line

A random geometric graph, [Formula: see text], is formed by choosing [Formula: see text] points independently and uniformly at random in a unit square; two points are connected by a straight-line edge if they are at Euclidean distance at most [Formula: see text]. For a given constant [Formula: see text], we show that [Formula: see text] is a distance threshold function for [Formula: see text] to have a connected subgraph on [Formula: see text] points. Based on this, we show that [Formula: see text] is a distance threshold for [Formula: see text] to be plane, and [Formula: see text] is a distance threshold to be planar. We also investigate distance thresholds for [Formula: see text] to have a non-crossing edge, a clique of a given size, and an independent set of a given size.

Mechanical & Electrical Equipment Management Mode Control Computer-Based Network (Wireless)

2013 ◽  
Vol 321-324 ◽  
pp. 2191-2194
Author(s):  
Jin Rong Wang
Keyword(s):  
Objective Function ◽  
Contact Area ◽  
Electrical Equipment ◽  
Feasible Region ◽  
Equipment Management ◽  
Forming Simulation ◽  
Automatic Mode ◽  
Control Computer ◽  
Computer Based ◽  
The Right

The right management managing direction is an important prerequisite for generating qualified parts, an important step before the management forming simulation is to determine the reasonable direction of the managing. Manually adjust parts in order to overcome rely on experience, the drawbacks to the managing direction, the direction of the managing tool and forming the contact area of the sheet as the goal of automatic determination mode. Objective function of the direction of the managing for the variable contact area in the managing direction of the feasible region, the use of heritage modes to optimize the objective function of the contact area and, ultimately feasible within the contact area corresponding to the managing direction, that is the best managing direction. The measured results show that the direction of the managing based on genetic mode, the automatic mode can fast and accurate to obtain the optimal direction of managing.

scholarly journals Non-intrusive load monitoring and decomposition method based on decision tree

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jiang Lin ◽  
Xianfeng Ding ◽  
Dan Qu ◽  
Hongyan Li
Keyword(s):  
Decision Tree ◽  
Programming Model ◽  
Electrical Equipment ◽  
Decision Tree Algorithm ◽  
State Recognition ◽  
Partial Data ◽  
Load Monitoring ◽  
Load Characteristics ◽  
Equipment State ◽  
Load Decomposition

AbstractIn order to realize the problems of non-intrusive load monitoring and decomposition (NILMD) from two aspects of load identification and load decomposition, based on the load characteristics of the database, this paper firstly analyzes and identifies the equipment composition of mixed electrical equipment group by using the load decision tree algorithm. Then, a 0–1 programming model for the equipment status identification is established, and the Particle Swarm Optimization (PSO) is used to solve the model for equipment state recognition, and the equipment operating state in the equipment group is identified. Finally, a simulation experiment is carried out for the partial data of Question A in the 6th “teddy cup” data mining challenge competition.

Intelligent Control System Design for Electrical Equipment Management

2016 ◽  
Vol 851 ◽  
pp. 521-525
Author(s):  
Yu Qiao Meng
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Signal Transmission ◽  
Electrical Equipment ◽  
Control System Design ◽  
Equipment Management ◽  
Intelligent Control System ◽  
Network Controller ◽  
Data Signal ◽  
Terminal Equipment

The article design a kind of intelligent control system with the function that can synthesize data, signal transmission and power control at the same time that it includes six components such as terminal equipment, network, controller, circuit, intelligent socket, electrical equipment. This article introduces the three detailed system implementation case with electrical equipment management mode of supply, working mode and working state of intelligent control is realized through the design of the system and improve the applicability of the system.

In situ TEM measurements of the electrical properties of interface dislocations

1992 ◽  
Vol 50 (2) ◽  
pp. 1338-1339
Author(s):  
F. M. Ross ◽  
R. Hull ◽  
D. Bahnck ◽  
J. C. Bean ◽  
L. J. Peticolas ◽  
...  
Keyword(s):  
Electrical Properties ◽  
Electronic Device ◽  
In Situ Tem ◽  
Device Performance ◽  
Misfit Dislocations ◽  
Electrical Characteristics ◽  
Strained Layer ◽  
Transmission Electron ◽  
Interfacial Dislocations

We describe an investigation of the electrical properties of interfacial dislocations in strained layer heterostructures. We have been measuring both the structural and electrical characteristics of strained layer p-n junction diodes simultaneously in a transmission electron microscope, enabling us to correlate changes in the electrical characteristics of a device with the formation of dislocations.The presence of dislocations within an electronic device is known to degrade the device performance. This degradation is of increasing significance in the design and processing of novel strained layer devices which may require layer thicknesses above the critical thickness (hc), where it is energetically favourable for the layers to relax by the formation of misfit dislocations at the strained interfaces. In order to quantify how device performance is affected when relaxation occurs we have therefore been investigating the electrical properties of dislocations at the p-n junction in Si/GeSi diodes.

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