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International Conference on computer science and Information technology

作者： Obaidah A. Rawashdeh Hiba A. Muhareb Nedhal A. Al-Sayid MSc. Student Computer Science Dept. Faculty of Information Technology Applied Science University Amman Jordan MSc. Student Computing Science Dept. Faculty of Information Technology Princess Sumaya University of Technology. Amman Jordan Associate Professor Computer Science Dept. Faculty of Information Technology Applied Science University Amman Jordan

ISBN: (纸本)9781467356107

In this paper, we present an optimistic concurrency control solution. The proposed solution represents an excellent blossom in the concurrency control field. It deals with the concurrency control anomalies, and, simultaneously, assures the reliability of the data before read-write transactions and after successfully committed. It can be used within the distributed database to track data logs and roll back processes to overcome distributed database anomalies. The method is based on commit timestamps for validation and an integer flag that is incremented each time a successful update on the record is committed. We show that this method overcomes inefficient taken methods (i.e. unnecessary restarts) in order to improve the performance and to increase productivity. Moreover, the method includes information about the time-stamping of transactions and flagging successfully updated data in the main-memory as it is proposed. Finally, the implemented work finds a need for an adaptive and an integrated concurrency control method in distributed database systems. Thus, a new optimistic concurrency control method is presented in this paper where it is expected to produce correct and reliable results.

关键词： Concurrency Control Optimistic Distributed database Concurrency control distributed databases Control Methods Data logging timestamp reliability data

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2013年 7831 LNCS卷 V-VI页

作者： Krawiec, Krzysztof Moraglio, Alberto Hu, Ting Etaner-Uyar, A. Şima Hu, Bin Poznan University of Technology Institute of Computing Science Piotrowo 2 60-965 Poznań Poland University of Birmingham School of Computer Science Edgbaston Birmingham B15 2TT United Kingdom Dartmouth College Geisel School of Medicine Hanover NH 03755 United States Istanbul Technical University Department of Computer Engineering Masla 34469 Istanbul Turkey Vienna University of Technology Institute of Computer Graphics and Algorithms 1040 Vienna Austria

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A SVDD Method Based on Maximum Distance between Two Centers of Spheres

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电子学报(英文版) 2012年第1期21卷 107-111页

作者： FANG Jinglong WANG Wanliang WANG Xingqi LONG Zhe LIANG Dongsheng ZHOU Qili School of Computer Science and Technology Zhejiang University of Technology Hangzhou 310023 China Institute of Graphics and Image Hangzhou Dianzi University Hangzhou 310018 China

On the base of the method of Support vec- tor data description (SVDD), this paper proposes a SVDD method based on maximum distance between two centers of spheres. It applies two hyperspheres to separate two kinds of training instance and maximize distance between two centers of hyperspheres at the same time. Experimen- tal results show that the method is effective, especially for unbalance problem, our method can get better results than all other methods.

关键词：最大距离球体数据描述超球面最大化不平衡时间

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ITO-based evolutionary algorithm to solve traveling salesman problem

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Journal of Physics: Conference Series 2014年第1期490卷

作者： Wenyong Dong Kang Sheng Chuanhua Yang Yunfei Yi Computer School Wuhan University Wuhan China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark USA Changjiang Wuhan Waterway Bureau Wuhan China Department of Computer and Information Science Hechi University Yizhou China Yunfei Yi(1981-) male Ph.D. associate professor research interests include intelligent computing machine learning etc. This work was in part supported by the NSF of China under Grant Nos. 61170305 60873114 and the State Scholarship Fund (File No ***) of CSC

In this paper, a ITO algorithm inspired by ITO stochastic process is proposed for Traveling Salesmen Problems (TSP), so far, many meta-heuristic methods have been successfully applied to TSP, however, as a member of them, ITO needs further demonstration for TSP. So starting from designing the key operators, which include the move operator, wave operator, etc, the method based on ITO for TSP is presented, and moreover, the ITO algorithm performance under different parameter sets and the maintenance of population diversity information are also studied.

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An Efficient SVM based Tumor Classification with Symmetry Non-Negative Matrix Factorization Using Gene Expression Data

An Efficient SVM based Tumor Classification with Symmetry No...

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International Conference on Information Communication and Embedded Systems

作者： N. Yuvaraj P. Vivekanandan Lecturer Computer Science and Enginnering Park College of Engineering and Technology Coimbatore Professor Computer Science and Enginnering Park College of Engineering and Technology Coimbatore

ISBN: (纸本)9781467357869

A reliable and accurate identification of the type of tumors is crucial to the proper treatment of cancers. The classification of tumors was and is both a practical and theoretic necessity and requirement. DNA microarrays provide a new technique of measuring gene expression, which has attracted a lot of research interest in recent years. It was suggested that gene expression data from microarrays (biochips) can be employed in many biomedical areas, e.g., in cancer classification. Although several, new and existing, methods of classification were tested, a selection of proper (optimal) set of genes, the expressions of which can serve during classification, is still an open problem. This paper presents a new method for tumor classification using gene expression data. In the proposed method, we first select genes using Nonnegative Matrix Factorization (NMF). In order to improve the performance of classification, Symmetry NMF (SymNMF) is used in this approach. Then, features are extracted from the selected genes by virtue SymNMF. As a last step, an efficient machine learning approach is used to classify the tumor samples using the extracted features. In order for a better classification, Support Vector Machine with Weighted Kernel Width (WSVM) is used in this classification approach. The performance of the proposed approach is tested using colon cancer data set and the acute leukemia data set. It is observed from the experimental results that the proposed approach provides better performance when compared with the traditional approaches.

关键词： Nonnegative Matrix Factorization (NMF) Support Vector Machine with Weighted Kernel Width (WSVM) Symmetry NMF (SymNMF) DNA microarray

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Natural Economic Binding Agent Exploration for Effectual Pharmaceutical Formulation using CANAL Technique of Data mining

Natural Economic Binding Agent Exploration for Effectual Pha...

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IEEE International Conference on Smart Structures and Systems

作者： S Sasikumar M Dharmendirakumar Associate Professor Department of Computer Science and Engineering Saveetha Engineering College Chennai Tamilnadu-602105 India Senior lecturer Department of Applied Science and Technology A. C. Tech Anna University Chennai Tamilnadu-600025 India

ISBN: (纸本)9781467362429

Oral tablets have remained the most common dosage form by which drugs are usually administered to patients because of their advantages over the other dosage forms. The rate of release of drug from the tablet to know the drug availability is based on the process of disintegration and dissolution. In order to formulate orally fast disintegrating tablet (FDT), the usage of appropriate binder is also important which can drastically increase the rate of dissolution of oral dosage. In this study, Binders from different origins were used via wet granulation at concentrations ranging from 1.0 -5.0% w/w to make paracetamol tablets, The mechanical and release properties of paracetamol tablets formulated with Cashew gum (CAG), Povidone (PVP), Gelatin (GEL), Okra gum (OKG) and Hydroxypropylmethyl cellulose (HMPC) as binders were studied and compared. The CANAL technique of data mining is proposed to show that the BFI values of tablets formulated with OKG were the lowest at all binder concentrations and which can increase the rate of dissolution with moderate the disintegration time. For the CANAL technique, sample calculated data of the measured tensile strength (TS), brittle fracture index (BFI), friability (F), disintegration time (DT) and percentage of drug released (PDR) of different binder agent formulation were used. The drug release of the Paracetamol tablet from a particular formulation is taken on 15th min and compared with the other formulation. Finally the significant method of formulation with appropriate binder with the average concentration is identified and thus the fast dissolution rate of soluble drug was attained using CANAL technique of data mining. Microsoft Business Intelligence Analysis Service 2008 software is used to ensure the CANAL technique. Sample statistical data were passed as input to this analysis services tool to find a feasible formulation method using CANAL technique of data mining. The result shows that the tablets containing OKG as binder in

关键词： Drug Release Cluster Analysis FDT Dissolution rate Cashew gum Okra gum Povidone Gelatin HPMC BFI capping lamination binder CANAL Technique

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Research of colorde image digital watermark

Research of colorde image digital watermark

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computer science and Information Engineering, CSIE 2012

作者： Shang, Cun Yang, Peng Service Computer Technology and Graphics Lab. Department of Computer Science and Technology Xinyang Agricultural College Xinyang Henan 464000 China

ISBN: (纸本)9783642302220

Digital watermarking is one of the effective technology which can protect the copyright of digital product and data security. For the encoding technology of color image, this paper proposed a method for embedding the watermarking using HSI color model. this paper propose an algorithm based on wavelet analysis, a colored watermark is embedded in a carrier, It embedded the image, which is disordered through ARNOLD transformation into the I space of the carrier image transformed. The results indicate that the watermarking technology proposed by this paper is secure and robust at resistance to compression and resistance to filtering. © 2012 Springer-Verlag GmbH.

关键词： Digital watermarking

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Diagnosis and Layout Aware (DLA) scan chain stitching

Diagnosis and Layout Aware (DLA) scan chain stitching

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IEEE International Test Conference

作者： Jing Ye Yu Huang Yu Hu Wu-Tung Cheng Ruifeng Guo Liyang Lai Ting-Pu Tai Xiaowei Li Weipin Changchien Daw-Ming Lee Ji-Jan Chen Sandeep C. Eruvathi Kartik K. Kumara Charles Liu Sam Pan State Key Laboratory of Computer Architecture Institute of Computing Technology Beijing P. R. China Silicon Test Solutions Mentor Graphics Corp. Wilsonville OR USA Hsinchu Science Park Taiwan Semiconductor Manufacturing Company Hsinchu Taiwan

ISBN: (纸本)9781479908608

Without appropriate stitching of scan chains, even with good diagnosis algorithm and diagnostic pattern generation, it may still result in bad scan chain diagnostic resolution. To improve the diagnostic resolution, we propose a novel Diagnosis and Layout Aware (DLA) scan chain stitching method, which is pattern independent and supports embedded scan compaction. It is based on three ideas: (1) increasing the number of sensitive scan cells, which can capture useful diagnostic information; (2) properly distributing the sensitive scan cells along the scan chains to enhance the overall resolution; (3) stitching scan cells based on their placement at layout to preserve the chip performance. Experiments on ISCAS'89/ITC'99 benchmark circuits and a real industry circuit based on 20nm technology with silicon results show that, the proposed DLA scan chain stitching method effectively improves the resolution, with negligible impact on chip performance, embedded scan compaction, transition fault coverage, and test power dissipation. The silicon results even show 7X average resolution improvement comparing to without using the proposed method.

关键词： Circuit faults Layout Automatic test pattern generation Routing computer architecture Microprocessors Ant colony optimization

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A Hybrid k-DCI and Apriori Algorithm for Mining Frequent Itemsets

A Hybrid k-DCI and Apriori Algorithm for Mining Frequent Ite...

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International Conference on Circuits, Power and Computing Technologies

作者： S. Suriya S. P. Shantharajah Assistant Professor Department of Computer Science and Engineering Velammal College of Engineering and Technology Madurai Tamilnadu India. Professor Department of Master of Computer Applications Sona College of Technology Salem Tamilnadu India.

ISBN: (纸本)9781467349215

Data mining involves analysis, extraction, refining and representation of required data from large databases. kDCI (k Direct Count and Intersect) algorithm is one of the best scalable algorithms for identifying frequent items in huge repository of data. This algorithm uses a special kind of compressed data structure which helps in mining the datasets easily. Apriori algorithm, a realization of frequent pattern matching, is universally adopted for reliable mining. It is based on parameters namely support and confidence. kDCI algorithm is hybridized with Apriori algorithm for better performance than their individual contribution. The result proves scalability and mining speed effectively.

关键词： kDCI Apriori Scalability Support Confidence

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Edit propagation via edge-aware filtering

Edit propagation via edge-aware filtering

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作者： Hu, Wei Dong, Zhao Yuan, Guo-Dong Department of Computer Science and Technology Beijing University of Chemical Technology Beijing 100028 China Program of Computer Graphics Cornell University Ithaca 14853 United States Department of Computer Science and Technology Tsinghua University Beijing 100084 China

This paper presents a novel framework for efficiently propagating the stroke-based user edits to the regions with similar colors and locations in high resolution images and videos. Our framework is based on the key observation that the edit propagation intrinsically can also be achieved by utilizing recently proposed edge-preserving filters. Therefore, instead of adopting the traditional global optimization which may involve a time-consuming solution, our algorithm propagates edits with the aid of the edge-preserve filters. Such a propagation scheme has low computational complexity and supports multiple kinds of strokes for more flexible user interactions. Further, our method can be easily and efficiently implemented in GPU. The experimental results demonstrate the efficiency and user-friendliness of our approach. © 2012 Springer science+Business Media, LLC & science Press. China.

关键词： Global optimization

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