127,533 Hits in 4.4 sec

A Hierarchical Clustering Algorithm Based Computer Aided Molecular Modeling with Haematoxylin & Eosin Images of Colon Cancer

K. Satish Reddy K. Satish Reddy
2013 IOSR Journal of Computer Engineering  
In this paper we present a novel algorithm for computer aided molecular modeling in MATLAB R2012, a real time simulation environment.  ...  This manuscript presents a novel algorithm for color image segmentation of Haematoxilin and Eosin images of colon cancer.  ...  INTRODUCTION In this manuscript we compare the existing k-means clustering based Computer Aided Molecular Modeling approach of H & E (Haematoxilin & Eosin) images of Colon Cancer as illustrated in [1]  ... 
doi:10.9790/0661-1157983 fatcat:fsh3vtb4v5e2nhft7f456euuke

Reverse engineering of CAD models via clustering and approximate implicitization

Andrea Raffo, Oliver J.D. Barrowclough, Georg Muntingh
2020 Computer Aided Geometric Design  
In applications like computer aided design, geometric models are often represented numerically as polynomial splines or NURBS, even when they originate from primitive geometry.  ...  For purposes such as redesign and isogeometric analysis, it is of interest to extract information about the underlying geometry through reverse engineering.  ...  Compute the number of iterations k i for an exact clustering of each D i , considering that the number of clusters for training sets is known. 3.  ... 
doi:10.1016/j.cagd.2020.101876 fatcat:peyovnnfczgslbi2s52peg5ll4

Fuzzy Clustering of Stability Diagrams for Vibration-Based Structural Health Monitoring

E. Peter Carden, James M. W. Brownjohn
2008 Computer-Aided Civil and Infrastructure Engineering  
Covariance-driven Stochastic Subspace Identification is applied to the data and a Fuzzy Clustering Algorithm is used to extract parameters indicative of the bridge's state.  ...  causes of structural change.  ...  engineering (Hartigan 1975) .  ... 
doi:10.1111/j.1467-8667.2008.00543.x fatcat:ebjgvkdp4rf4nbgkwthfhrdo7q

Reduction of discrete interval system using clustering of poles with Padé approximation: a computer-aided approach

VP Singh, D Chandra
2012 International Journal of Engineering, Science and Technology  
Inverse distance measure (IDM) criterion is used for clustering of poles of HOIS whereas the time moments of HOIS (or ROIM) are obtained without inverting the denominator of transfer function and presented  ...  This paper presents a method for the order reduction of discrete interval systems using pole-clustering method along with Padé approximation technique.  ...  Conclusions A computer-aided method is proposed for obtaining ROIM of a given discrete HOIS in which the denominator of the ROIM is obtained by pole-clustering method and the numerator is obtained by minimizing  ... 
doi:10.4314/ijest.v4i1.11s fatcat:tuvopbplqrc7ldzmqifnexszqe

A Hybrid Image Filtering Method for Computer-Aided Detection of Microcalcification Clusters in Mammograms

Xiaoyong Zhang, Noriyasu Homma, Shotaro Goto, Yosuke Kawasumi, Tadashi Ishibashi, Makoto Abe, Norihiro Sugita, Makoto Yoshizawa
2013 Journal of Medical Engineering  
The proposed method is capable of detecting 92.9% of true microcalcification clusters with an average of 0.08 false microcalcification clusters detected per image.  ...  The presence of microcalcification clusters (MCs) in mammogram is a major indicator of breast cancer. Detection of an MC is one of the key issues for breast cancer control.  ...  A computer-aided detection or diagnosis (CAD) system, which uses computer technologies to detect the typical signs of breast cancer, has been developed to provide a "second opinion" for radiologists and  ... 
doi:10.1155/2013/615254 pmid:27006921 pmcid:PMC4782620 fatcat:fmc7qrmbkrdfbcstrwvfbrbeya

A Fast SVM-Based Tongue's Colour Classification Aided by k-Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis

Nur Diyana Kamarudin, Chia Yee Ooi, Tadaaki Kawanabe, Hiroshi Odaguchi, Fuminori Kobayashi
2017 Journal of Healthcare Engineering  
In the first stage, k-means clustering is used to cluster a tongue image into four clusters of image background (black), deep red region, red/light red region, and transitional region.  ...  In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs.  ...  Acknowledgments This study was supported by the Japan Society for the Promotion of Science KAKENHI Grant no. 26860420 from the Ministry of Education, Culture, Sports, Science and Technology, Japan; Kitasato  ... 
doi:10.1155/2017/7460168 pmid:29065640 pmcid:PMC5416652 fatcat:hb6wbfx6fngjbiekfzqunpsvjy

Improvement of Computer-aided Diagnosis Scheme for Detection of Clustered Microcalcifications in Mammograms:

Yoshikazu UCHIYAMA, Ryohei NAKAYAMA, Satoshi KASAI, Koji YAMAMOTO, Takeshi HARA, Hiroshi FUJITA
2005 Transactions of Japanese Society for Medical and Biological Engineering  
We have developed a computer-aided diagnosis scheme for the detection of clustered microcalcifications in mammograms.  ...  This computerized method may be a useful tool to assist radiologists in the detection of clustered microcalcifications in mammograms.  ...  図 Schematic diagram of the computerized method for the detection of clustered microcalcifications ROI,スキンラインを含んだ ROI,背景の ROI の 3 種類に 分け,微小石灰化を含む ROI と識別する手法に改良した.  ... 
doi:10.11239/jsmbe.43.406 fatcat:j3vrfdzgtzgjjofaxvqb654slm

Machine Learning Aided Task Scheduling on Cloud Computing

2020 International Journal of Emerging Trends in Engineering Research  
The K-Means algorithm can create clusters of jobs and the resources available based on their operating characteristics and processing behavior.  ...  Cloud computing has been the trending technology in sync with the internet of things being explored to its fullest strength as the world tends to digitize each activity, be it professional or personal  ...  Figure 1: K-Means Aided Task Scheduling The clustered data of the tasks is provided as input to the FCFS module, where these are prioritized based on their arrival.  ... 
doi:10.30534/ijeter/2020/32892020 fatcat:2l2ds26cp5emrd2nkfko3vz5ye

Computer-aided design system aids mammography screening

Sun-Kan Lee
2009 SPIE Newsroom  
A computerized tool gives radiologists a second opinion for diagnosing breast cancer.  ...  He is currently pursuing his PhD in the School of Computer Science and Information Engineering from NCKU.  ...  Pau-Choo (Julia) Chung Institute of Computer and Communication Engineering National Cheng Kung University (NCKU) Tainan, Taiwan Pau-Choo (Julia) Chung is the director of the Institute of Computer and Communication  ... 
doi:10.1117/2.1200906.1634 fatcat:vqqqawrl7bfbzjcubhbt65myqe

CADS*: Computer-Aided Development of Self-* Systems [chapter]

Radu Calinescu, Marta Kwiatkowska
2009 Lecture Notes in Computer Science  
We present the prototype tool CADS* for the computer-aided development of an important class of self-* systems, namely systems whose components can be modelled as Markov chains.  ...  Given a Markov chain representation of the IT components to be included into a self-* system, CADS* automates or aids (a) the development of the artifacts necessary to build the self-* system; and (b)  ...  This work was partly supported by the UK Engineering and Physical Sciences Research Council grant EP/F001096/1.  ... 
doi:10.1007/978-3-642-00593-0_29 fatcat:dmk2cm3zlreqji7edfu263brxm

Principle of Computer-aided Diagnosis System for Mammography
マンモグラフィのためのコンピュータ支援診断システム マンモグラフィのコンピュータ支援診断装置の原理

Hiroshi Fujita
1996 Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening)  
N Principle of Computer-aid ed Diagnosis System for Mammography Hiroshi Fujita Department of Electronics and Computer Engineering,Faculty of Engineering, Gifu University  ...  Finally , the expected utilization of thismammogram CAD system is discussed. Key words : computer-aided diagnosis, breast cancer, mammogram, pattern recognition, image analysis  ... 
doi:10.3804/jjabcs.5.135 fatcat:33cq2qwklzc7pde27kpzbje2ou

Knowledge Representation Based On Interval Type-2 Cfcm Clustering

Myung-Won Lee, Keun-Chang Kwak
2015 Zenodo  
This paper is concerned with knowledge representation and extraction of fuzzy if-then rules using Interval Type-2 Context-based Fuzzy C-Means clustering (IT2-CFCM) with the aid of fuzzy granulation.  ...  This proposed clustering algorithm is based on information granulation in the form of IT2 based Fuzzy C-Means (IT2-FCM) clustering and estimates the cluster centers by preserving the homogeneity between  ...  We developed ANFN based on IT2-CFCM clustering with the aid of fuzzy granulation.  ... 
doi:10.5281/zenodo.1100748 fatcat:kmg36xrtrrhydkgzfztcty5tvu


Xinxin Wang, Zeshui Xu, Zijing Ge, Edmundas Kazimieras Zavadskas, Paulius Skačkauskas
2021 Transport  
Computer-Aided Civil And Infrastructure Engineering (CACAIE) is an international journal, and the first documents was published from 1980.  ...  In addition, publications in four fields – Construction & Building Technology; Engineering, Civil; Transportation Science & Technology; Computer Science, Interdisciplinary Applications – that CACAIE refers  ...  Acknowledgements The work was supported by: -the National Natural Science Foundation of China  ... 
doi:10.3846/transport.2020.14140 fatcat:5mqvtrngk5ehzd6ap3u76kjre4

Software Technology Track Introduction

Rick Kazman, Gul Agha
2007 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)  
The Software Technology Track consists of thirteen minitracks and one symposium, grouped into six clusters: Human-Computer Interaction, Security, Software Engineering Application Areas, Software Engineering  ...  Practices, and Software Engineering Tools and Techniques.  ...  These minitracks are exploring approaches, sensitive information, forensic techniques for aiding in investigations of criminal activity involving computers, techniques for highly quality architecture  ... 
doi:10.1109/hicss.2007.496 dblp:conf/hicss/KazmanA07 fatcat:nks2wvsob5eehjnzakckitnkry

Prognostics And Computer Aided Maintenance (PACMAN)

Jan Neužil, Lukáš Palaj, Vladimír Kotala, Michal Košík, David Chrápek
2019 Zenodo  
The key objective of PACMAN was to demonstrate the benefits of aircraft system prognostics and Computer Aided Maintenance solutions integrated into an airlines end-to-end maintenance context.  ...  The event disseminated results of a research cluster ADVANCE which was a cluster within the public-private partnership between the European Commission and the European aviation industry Clean Sky 2 LPA  ...  Number of failures is reduced Fleet manager receives predicted alerts to avoid disruptions. This is how the entire fleet looks like in the HDR (using predictive indicators)  ... 
doi:10.5281/zenodo.4471330 fatcat:fwr4gfgv4bbpbjdbhlntkbfiw4
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