Determining Optimal Blocking Sizes for Large Exam Groups When Data Matching

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
George Anderson ◽  
Audrey N. Masizana ◽  
Dimane Mpoeleng
Keyword(s):  
Data Matching

Dielectric Breakdown in Printed Circuit Boards at Elevated Temperatures

1996 ◽  
Author(s):  
P. Singh ◽  
G.T. Galyon ◽  
J. Obrzut ◽  
W.A. Alpaugh
Keyword(s):  
Experimental Data ◽  
Thermal Degradation ◽  
Printed Circuit Boards ◽  
Printed Circuit Board ◽  
Elevated Temperatures ◽  
Dielectric Breakdown ◽  
Circuit Board ◽  
Circuit Boards ◽  
Printed Circuit ◽  
Data Matching

Abstract A time delayed dielectric breakdown in printed circuit boards, operating at temperatures below the epoxy resin insulation thermo-electrical limits, is reported. The safe temperature-voltage operating regime was estimated and related to the glass-rubber transition (To) of printed circuit board dielectric. The TG was measured using DSC and compared with that determined from electrical conductivity of the laminate in the glassy and rubbery state. A failure model was developed and fitted to the experimental data matching a localized thermal degradation of the dielectric and time dependency. The model is based on localized heating of an insulation resistance defect that under certain voltage bias can exceed the TG, thus, initiating thermal degradation of the resin. The model agrees well with the experimental data and indicates that the failure rate and truncation time beyond which the probability of failure becomes insignificant, decreases with increasing glass-rubber transition temperature.

A Research of Matching Algorithm and Strategy on Entity with Complex Area

2012 ◽  
Vol 209-211 ◽  
pp. 252-255
Author(s):  
Li Guo ◽  
Hai Ying Zheng ◽  
Yong Hong Wang ◽  
Bin Zhang
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Data Matching ◽  
Large Scale Data ◽  
Polygon Area ◽  
Spatial Data Integration ◽  
One And Many ◽  
Complex Polygon ◽  
Scale Data ◽  
Matching Relation

Data matching technology is a key technology for spatial data integration and fusion. This paper represents a solution to the complex polygon area, defines the area overlapped rate in the aspect of geometric measure, presents the data matching idea based on area overlapped rate .Then, this paper discusses and realizes the data matching relation of area elements including one to one , many to one and many to many. At last, region targets are set as the study object, large scale data are taken for example. We draw the conclusion: this algorithm is efficient.

System Identification of TEG Themostatic System

2014 ◽  
Vol 551 ◽  
pp. 384-388 ◽  
Author(s):  
Dong Jing Yang ◽  
Jin Wu Gao ◽  
Le Lun Jiang ◽  
Tan Xiao
Keyword(s):  
System Identification ◽  
Control Strategy ◽  
Measuring Instrument ◽  
Analysis Method ◽  
Simulation Data ◽  
Arx Model ◽  
Data Matching ◽  
New Type ◽  
Matching Degree ◽  
Lower Temperature

Thrombelastograph device (TEG) is a measuring instrument of blood viscoelastic properties during coagulation. The measuring temperature of TEG is fixed at 37oC while in some surgery cases, lower temperature surroundings may be adopted. Therefore a new type of TEG with a controllable themostatic system has been designed to mimic various temperature surroundings in surgery. In this paper, a small-sized high accuracy thermostatic system for TEG was designed and its system identification was built to facilitate the development of control strategy. ARX model was supposed to analyze the system identification of the thermostatic system by Matlab System Identification Toolbox. Residual analysis method was adopted to verify the identified model. The results showed that the simulation data of ARX model was consistence with the measured data (matching degree was about 93%). Transfer function of the system can be applied to develop its control strategy.

Local Modeling Algorithm Based on Similarity of Vector

2012 ◽  
Vol 182-183 ◽  
pp. 1060-1064
Author(s):  
Jing Zeng ◽  
Jun Wang ◽  
Jin Yu Guo
Keyword(s):  
Local Model ◽  
Local Models ◽  
Local Polynomial Fitting ◽  
Local Polynomial ◽  
Data Matching ◽  
Local Modeling ◽  
Fitting Algorithm ◽  
System Input ◽  
Simulation Results ◽  
Historical System

A mutli-model modeling method based on local model is given. The modeling idea is firstly to find some data matching with the current working point from vast historical system input-output datasets, and in this paper, we give a new method of choose data information based on similarity of vector which improve the accuracy of data greatly. Secondly to choose the weight and optimum bandwidth then develop a local model using local polynomial fitting algorithm. With the change of working points, multiple local models are built. The effectiveness of the proposed method is demonstrated by simulation results.

scholarly journals Determinant Factors of Working Children based on Conditional Logistics Regression for Matched Pairs Data

2021 ◽  
Vol 5 (1) ◽  
pp. 161-172
Author(s):  
Rizky Zulkarnain ◽  
Tri Listianingrum ◽  
Khairil Anwar Notodiputro
Keyword(s):  
Regression Model ◽  
Household Head ◽  
Matched Pairs ◽  
Confounding Factors ◽  
Human Right ◽  
Determinant Factors ◽  
Working Children ◽  
Logistics Regression ◽  
Head Of Household ◽  
Data Matching

Working children may create problem since it relates to human right as well as to the development of children especially in getting sufficient education. This paper discusses determinant factors of working children by using conditional logistics regression for matched pairs data. Matching is employed to adjust confounding factors and to avoid bias. In this paper there are three confounding factors that have been considered, i.e. residential area, gender, and income of household head. The results showed that the conditional regression model outperformed the standard regression model. The number of household members, whether the head of household was married or single, age of the head of household, educational attainment of the head of household, as well as the work status of the head of household were the determinant factors of the working children.

scholarly journals A Privacy-Preserving Fully Homomorphic Encryption and Parallel Computation Based Biometric Data Matching

2020 ◽  
Author(s):  
Ferhat Ozgur Catak ◽  
Sule Yildirim Yayilgan ◽  
Mohamed Abomhara
Keyword(s):  
Privacy Preservation ◽  
Homomorphic Encryption ◽  
Practical Implementation ◽  
Fully Homomorphic Encryption ◽  
Biometric Data ◽  
General Data Protection Regulation ◽  
Data Matching ◽  
General Data ◽  
Encryption Method ◽  
Border Controls

One of the most reliable methods of authentication used today is biometric matching. This authentication process, which is done by using biometrics information such as fingerprint, iris, face, etc. is used in many application areas. Authentication at border gates is one of these areas. However, some restrictions have been introduced to storing and using such data, especially with the General Data Protection Regulation (GDPR). The main goal of this work is to find the practical implementation of fully homomorphic encryption-based biometric matching in border controls. In this paper, we propose a biometric authentication system based on hash expansion and fully homomorphic encryption features, considering these restrictions. One of the most significant drawbacks of the homomorphic encryption method is the long execution time. We solved this problem by executing the matching algorithm in parallel manner. The proposed scheme is implemented as proof-of-concept in the SMILE, and its advantages in privacy preservation has been demonstrated.

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