نتایج جستجو برای: yi

تعداد نتایج: 5209  

2013
Vivek Srikumar

Here Y is the feasible region for the structures. We use the standard approach to break the structure into a collection of parts and extract features from them. Let each yi ∈ y correspond to a part in the structure. That is the inference variable yi is an indicator for the existence of the i th part in the structure. Let the feature function Φ decompose into a sum of features for each part. Tha...

2004
Mark Alber Maria Kiskowski Yi Jiang Stuart Newman

Mark Alber ∗, Maria Kiskowski ∗, Yi Jiang †, and Stuart Newman + ∗ Department of Mathematics, 255 Hurley Building, University of Notre Dame, Notre Dame, IN 46556-4618, USA E-mail: [email protected] † Theoretical Division, Los Alamos National Laboratory Los Alamos, NM 87545, USA E-mail: [email protected] + Department of Cell Biology & Anatomy, Basic Science Building New York Medical College, Valhalla, ...

2016
Chi-Chia Sun Bor-Shing Lin Jheng-Yi Lin

VLSI Design of a RSA Encryption/Decryption Chip using Systolic Array based Architecture Chi-Chia Sun, Bor-Shing Lin, Gene Eu Jan & Jheng-Yi Lin To cite this article: Chi-Chia Sun, Bor-Shing Lin, Gene Eu Jan & Jheng-Yi Lin (2016): VLSI Design of a RSA Encryption/Decryption Chip using Systolic Array based Architecture, International Journal of Electronics, DOI: 10.1080/00207217.2016.1138511 To li...

2007
Jin-Chuan Yan Yi Liang Gen-Shan Ma Jian Zhu Yi Feng Dan Luo Zong-Gui Wu Xian-Tao Kong Ren-Qian Zong

Jin-Chuan Yan1†, Yi Liang1, Gen-Shan Ma2, Jian Zhu2, Yi Feng2, Dan Luo2, Zong-Gui Wu3, Xian-Tao Kong3, Ren-Qian Zong3 & Lin-Zen Zhan3 †Author for correspondence 1Department of Cardiology, Affiliated Hospital of JiangSu University, China Tel.: + 86 511 502 6169; E-mail: yanjinchuan@ hotmail.com 2Zhong Da Hospital, Southeast University, Nanjing 210009, China 3Chang Zheng Hospital, Second Military...

2007
Kuei-Hsiang Chao Sheng-Han Ho Meng-Hui Wang

Modeling and fault diagnosis of a photovoltaic system Kuei-Hsiang Chao a,∗, Sheng-Han Ho b, Meng-Hui Wang a a Department of Electrical Engineering, National Chin-Yi University of Technology, 35, Lane 215, Section 1, Chung-Shan Road, Taiping City 411, Taichung County, Taiwan, ROC b Institute of Information and Electrical Energy, National Chin-Yi University of Technology, 35, Lane 215, Section 1,...

2004
Chiranjib Bhattacharyya Pannagadatta K. Shivaswamy Alexander J. Smola

We propose a convex optimization based strategy to deal with uncertainty in the observations of a classification problem. We assume that instead of a sample (xi, yi) a distribution over (xi, yi) is specified. In particular, we derive a robust formulation when the distribution is given by a normal distribution. It leads to Second Order Cone Programming formulation. Our method is applied to the p...

2010
Kuo-Ti Peng Liang-Tseng Kuo Wei-Hsiu Hsu Tsan-Wen Huang

Wei-Hsiu Hsu, MD 14 Division of Sports Medicine 15 Department of Orthopedic Surgery 16 Chang Gung Memorial Hospital at Chia Yi 17 Address: No 6, West section, Chia Pu Road 18 Puzih, Chia Yi Hsien 613 19 Taiwan 20 Tel 886-5-3621000 ext 2855 21 E mail: [email protected] 22 23 Kuo-Ti Peng: [email protected] 24 Liang-Tseng Kuo: [email protected] 25 Wei-Hsiu Hsu: [email protected] 26 Tsan-Wen Huang...

2016

In [Paper, Algorithms 1 and 2] we need the gradient of the residuals dg(Y(ri),Yi) (here, Y(ri) is equal to X1(ri)) with respect to the base point Y(ri) in order to compute the jump conditions for the adjoint variable λ1. The residual measures the squared geodesic distance between the point Y(ri) on the fitted curve and the corresponding measurement Yi. To derive this gradient, we consider the c...

Journal: :Combinatorics, Probability & Computing 2006
Paul Wollan

Let P1, . . . , Pk be k vertex disjoint paths in a graph G where the ends of Pi are xi, and yi. Let H be the subgraph induced by the vertex sets of the paths. We find edge bounds E1(n), E2(n) such that, 1. If e(H) ≥ E1(|V (H)|), then there exist disjoint paths P ′ 1, . . . , P ′ k where the ends of P ′ i are xi and yi such that | S

2007
Ken R. Duffy Artem Sapozhnikov

The averages {nSn = n −1 ∑n i=1 Yi} of many real-valued processes are known to satisfy the LDP, including {Yi} being i.i.d. random variables or satisfying mixing conditions that are broad enough to encompass Doeblin recurrent Markov chains (e.g. Bryc and Dembo [1]). If the tail of the distribution of Y1 decays no slower than an exponential, then the scale for the LDP is the number of summands, ...

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