Jonathan N. Johnson^1,2, Cindy S. Barrett³, Wayne H. Franklin⁴, Eric M. Graham⁵, Nancy J. Halnon⁶, Brandy A. Hattendorf⁷, Catherine D. Krawczeski⁸, James J. McGovern⁹, Matthew J. O’Connor¹⁰, Amy H. Schultz¹¹, Jeffrey M. Vinocur¹², Devyani Chowdhury¹³, Jeffrey B. Anderson¹⁴

Congenital Heart Disease, Vol.12, No.6, pp. 756-761, 2017, DOI:10.1111/chd.12519

Abstract Introduction: In 2012, the American College of Cardiology’s (ACC) Adult Congenital and Pediatric Cardiology Council established a program to develop quality metrics to guide ambulatory practices for pediatric cardiology. The council chose five areas on which to focus their efforts; chest pain, Kawasaki Disease, tetralogy of Fallot, transposition of the great arteries after arterial switch, and infection prevention. Here, we sought to describe the process, evaluation, and results of the Infection Prevention Committee’s metric design process.
Methods: The infection prevention metrics team consisted of 12 members from 11 institutions in North America. The group agreed to work… More >

Jimmy C. Lu¹, Manish Bansal², Sarina K. Behera³, Jeffrey R. Boris⁴, Brian Cardis⁵, John S. Hokanson⁶, Bahram Kakavand⁷, Roy Jedeikin⁸

Congenital Heart Disease, Vol.12, No.6, pp. 751-755, 2017, DOI:10.1111/chd.12509

Abstract Objective: As part of the American College of Cardiology Adult Congenital and Pediatric Cardiology Section effort to develop quality metrics (QMs) for ambulatory pediatric practice, the chest pain subcommittee aimed to develop QMs for evaluation of chest pain.
Design: A group of 8 pediatric cardiologists formulated candidate QMs in the areas of history, physical examination, and testing. Consensus candidate QMs were submitted to an expert panel for scoring by the RAND-UCLA modified Delphi process. Recommended QMs were then available for open comments from all members.
Patients: These QMs are intended for use in patients 5–18 years old, referred… More >

Shang Yang, Sun Xiangyi, Yang Xia, Wang Xi, Yu Qifeng

The International Conference on Computational & Experimental Engineering and Sciences, Vol.17, No.4, pp. 117-118, 2011, DOI:10.3970/icces.2011.017.117

Abstract A new method of camera calibration is presented for exact videometrics in large field. The camera to be calibrated and the control points used in the new method are both close to the ground. In the condition that the control points and the camera are approximately coplanar, the main point position, focus length, lens distortion coefficients and the camera's position and attitude parameters are calibrated precisely by the method. Two calibration images are taken by the camera to be calibrated in measurement state and vertical rotation state respectively. If the vertical tangent lens distortion can More >

Chowhan S.S.¹, G.N. Shinde²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.1, pp. 67-74, 2009, DOI:10.3970/icces.2009.009.067

Abstract Feature selection, often used as a pre-processing step to machine learning, is designed to reduce dimensionality, eliminate irrelevant data and improve accuracy. Iris Basis is our first attempt to reduce the dimensionality of the problem while focusing only on parts of the scene that effectively identify the individual. Independent Component Analysis (ICA) is to extract iris feature to recognize iris pattern. Principal Component Analysis (PCA) is a dimension-reduction tool that can be used to reduce a large set of variables to a small set that still contains most of the information in the large set. More >

S.S. Chowhan¹, G.N. Shinde²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.6, No.1, pp. 1-12, 2008, DOI:10.3970/icces.2008.006.001

Abstract Authentication plays a very critical role in security-related applications like e-commerce. There are a number of methods and techniques for accomplishing this key process. Biometrics is gaining increasing attention in these days. Security systems, having realized the value of biometrics, use biometrics for two basic purposes: to verify or identify users. The use of fingerprints, facial characteristics and other biometrics for identification is becoming more common. This paper overview best of Biometric application for security management. The acquisition of biometric data introduces human research and privacy concerns that must be addressed by the organizations. This More >