Liang Kou¹, Yiqi Shi², Liguo Zhang¹, Duo Liu^1,*, Qing Yang³

CMC-Computers, Materials & Continua, Vol.58, No.2, pp. 545-565, 2019, DOI:10.32604/cmc.2019.03760

Abstract With the development of computer hardware technology and network technology, the Internet of Things as the extension and expansion of traditional computing network has played an increasingly important role in all professions and trades and has had a tremendous impact on people lifestyle. The information perception of the Internet of Things plays a key role as a link between the computer world and the real world. However, there are potential security threats in the Perceptual Layer Network applied for information perception because Perceptual Layer Network consists of a large number of sensor nodes with weak More >

Tao Liu, Gan Huang^*, Ping Zhang

Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 519-529, 2018, DOI:10.31209/2018.100000019

Abstract In this article, a new user authentication protocol using trust model, elliptic curve cryptography and biometrics for WSNs is submitted. The result of the trust model analysis indicates that the model can improve the model’s ability of withstanding attacks from the malicious nodes. The results of safety analysis and performance analysis for our proposed user authentication protocol demonstrate that this protocol can be flexible to all sorts of common known attacks and performs similarly or better compared with some active user authentication protocols. It is suitable for WSNs which have a prominent request for the More >

Carissa M. Baker-Smith¹, Karina Carlson², Jose Ettedgui³, Takeshi Tsuda⁴, K. Anitha Jayakumar⁵, Matthew Park⁶, Nikola Tede⁷, Karen Uzark⁸, Craig Fleishman⁹, David Connuck¹⁰, Maggie Likes¹¹, Daniel J. Penny¹²

Congenital Heart Disease, Vol.13, No.1, pp. 52-58, 2018, DOI:10.1111/chd.12540

Abstract Objective: To develop quality metrics (QMs) for the ambulatory care of patients with transposition of the great arteries following arterial switch operation (TGA/ASO).
Design: Under the auspices of the American College of Cardiology Adult Congenital and Pediatric Cardiology (ACPC) Steering committee, the TGA/ASO team generated candidate QMs related to TGA/ASO ambulatory care. Candidate QMs were submitted to the ACPC Steering Committee and were reviewed for validity and feasibility using individual expert panel member scoring according to the RAND-UCLA methodology. QMs were then made available for review by the entire ACC ACPC during an “open comment period.” Final… More >

Ling Zhang^{1, 2}, Xiaoyan Lei¹, Jian Jiang², Qingsong Feng¹

Sound & Vibration, Vol.52, No.5, pp. 22-27, 2018, DOI:10.32604/sv.2018.04058

Abstract Underground railway vibration source strength is one of the key values used for environmental impact assessment and the evaluation of mitigation measure’s performance. However, currently there is no international standard of measuring the underground railway vibration source strength for such purposes. The available local standards and industrial guidelines do not agree on measurement locations as well as the metrics for presenting the source strength. This has caused many confusions. This paper aims to study the suitable measurement location and metrics using the data from a large scale field-testing carried out at the Nanchang underground railway… More >

M. Rajalakshmi^*

CMES-Computer Modeling in Engineering & Sciences, Vol.114, No.2, pp. 209-220, 2018, DOI:10.3970/cmes.2018.114.209

Abstract Amongst several biometric traits, Vein pattern biometric has drawn much attention among researchers and diverse users. It gains its importance due to its difficulty in reproduction and inherent security advantages. Many research papers have dealt with the topic of new generation biometric solutions such as iris and vein biometrics. However, most implementations have been based on small datasets due to the difficulties in obtaining samples. In this paper, a deeper study has been conducted on previously suggested methods based on Convolutional Neural Networks (CNN) using a larger dataset. Also, modifications are suggested for implementation using More >

Juan Villafane¹, Thomas C. Edwards², Karim A. Diab³, Gary M. Satou⁴, Elizabeth Saarel⁵, Wyman W. Lai⁶, Gerald A. Serwer⁷, Peter P. Karpawich⁸, Russell Cross⁹, Russell Schiff¹⁰, Devyani Chowdhury¹¹, Thomas J. Hougen¹²

Congenital Heart Disease, Vol.12, No.6, pp. 762-767, 2017, DOI:10.1111/chd.12523

Abstract Objective: The objective of this study was to develop quality metrics (QMs) relating to the ambulatory care of children after complete repair of tetralogy of Fallot (TOF).
Design: A workgroup team (WT) of pediatric cardiologists with expertise in all aspects of ambulatory cardiac management was formed at the request of the American College of Cardiology (ACC) and the Adult Congenital and Pediatric Cardiology Council (ACPC), to review published guidelines and consensus data relating to the ambulatory care of repaired TOF patients under the age of 18 years. A set of quality metrics (QMs) was proposed by the… More >

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 >