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Evolution of web applications with aspect-oriented design patterns

Evolution of web applications with aspect-oriented design pa...

引用

2nd International Workshop on Adaptation and Evolution in Web Systems engineering, AEWSE 2007

作者： Bebjak, Michal Vranić, Valentino Dolog, Peter Institute of Informatics and Software Engineering Faculty of Informatics and Information Technology Slovak University of Technology Ilkovičova 3 84216 Bratislava 4 Slovakia Department of Computer Science Aalborg University Fredrik Bajers Vej 7 DK-9220 Aalborg EAST Denmark

It is more convenient to talk about changes in a domainspecific way than to formulate them at the programming construct level or-even worse-purely lexical level. Using aspect-oriented programming, changes can be modularized and made reapplicable. In this paper, selected change types in web applications are analyzed. They are expressed in terms of general change types which, in turn, are implemented using aspect-oriented programming. Some of general change types match aspect-oriented design patterns or their combinations.

关键词： Aspect oriented programming

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Introduction to Mini-track: Advanced data management tools for biomedical informatics

Introduction to Mini-track: Advanced data management tools f...

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40th Annual Hawaii International Conference on System sciences 2007, HICSS'07

作者： Ali, Hesham H. Sherman, Simon Department of Computer Science College of Information Science and Technology University of Nebraska at Omaha Omaha NE 68182 United States Eppley Cancer Institute Nebraska Informatics Center for Life Sciences University of Nebraska Medical Center Omaha NE 68198 United States

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Pattern recognition of EEG signals during motor imagery ~based on directed information analysis~

Pattern recognition of EEG signals during motor imagery ~bas...

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SICE Annual Conference

作者： Miyo Taniguchi Makoto Mihara Tomonari Yamagutchi Junpei Kaminaka Katsuhiro Inoue Gert Pfurtscheller Department of Systems Innovation and Informatics Factory of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan Department of Medical Informatics Institute of Biomedical Engineering Graz University of Technology Graz Austria

ISBN: (纸本)4907764278

Electroencephalograph (EEG) recordings during the right and the left hand motor imagery can be used to move a cursor to a target on a computer screen. Such an EEG-based brain-computer interface (BCI) can provide a new communication channel to replace an impaired motor function. It can be used by e.g., handicap users with amyotrophic lateral sclerosis (ALS). The conventional method purposes the recognition of the right hand and the left hand motor imagery. In this sturdy, feature extraction based on Directed information analysis is introduced to discriminate the EEG signals recorded during the right hand, the left hand and the right foot motor imagery. The effectiveness of our method is confirmed through the experimental studies.

关键词： Pattern recognition Electroencephalography information analysis Foot Feedback Brain computer interfaces Monitoring Biomedical informatics Biomedical engineering Image recognition

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A systematic approach to quantifying evolutionary functional trends across the universal tree of life

A systematic approach to quantifying evolutionary functional...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Alterovitz, Gil Muso, Taro Malalur, Paresh Ramoni, Marco F. Division of Health Sciences and Technology Harvard Medical School Massachusetts Institute of Technology Boston MA United States Children's Hospital Informatics Program Boston MA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Harvard Partners Center for Genetics and Genomics Harvard Medical School Boston MA United States

ISBN: (纸本)1424415098

The accumulation of genomic and proteomic data of many organisms presents an opportunity to analyze entire phylogenetic trees in a systematic, quantified manner. The universal tree of life, constructed by genomic data, provides an evolutionary context for proteomic data of individual organisms. Using proteomic information mapped to biological functions, we survey the tree of life for evolutionary trends, where trends are low p-value linear regressions of relative protein diversity against an evolutionary timeline. These trends provide quantified perspectives across evolution that would be otherwise difficult to discern from the large amount of available bioinformatic data. We analyzed 22,762 functions across 167 proteomes for approximately 3.8 million information content calculations. Of particular interest is the rise of protein-protein interactions along the path of mammalian evolution. Of general interest are the numerous uncovered trends that open the door to future queries of focused scope. ©2007 IEEE.

关键词： information theory

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Linking protein mass with function via organismal massome networks

Linking protein mass with function via organismal massome ne...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Alterovitz, Gil Lyashenko, Eugenia Xiang, Michael Ramoni, Marco F. Division of Health Sciences and Technology Harvard Medical School Massachusetts Institute of Technology Boston MA United States Children's Hospital Informatics Program at Health Sciences and Technology Harvard Medical School Boston MA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Harvard Partners Center for Genetics and Genomics Harvard Medical School Boston MA United States Department of Biomedical Informatics Columbia University New York NY United States

ISBN: (纸本)1424415098

With the human genome sequenced, attention has been shifting to proteins and their function. Several technologies including mass spectrometry and gel electrophoresis have traditionally been used to study proteins. These technologies rely on proteins' masses to characterize and/or identify them. Once identified, the discovered proteins' are often analyzed for their functional relevance. In this paper, we present an alternative approach to studying protein function directly, based on protein mass. By analyzing proteins with similar mass ranges (bins), we discovered that certain biological functions are associated with specific mass bins more frequently than would be expected by chance. Biological functional classes found in this manner could be seen across the three examined organisms: human, worm and fly. We found no sequence-based homology across significant mass-function proteins in the three different organisms. This investigation leads to useful property that the mass-based biological functional classes are preserved across the organisms. Thus, this paper describes a potential constraint for evolution of similar function based on mass constraints. Finally, this work yields a roadmap for experimental design for functional exploration of proteomes in mass-based technologies such as gel electrophoresis and mass spectrometry. ©2007 IEEE.

关键词： Proteins

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A connection degree-based rough sets model and its application to knowledge reduction

A connection degree-based rough sets model and its applicati...

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SNPD 2007: 8th ACIS International Conference on Software engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

作者： Liuling, Dai Bing, Huang Dongxiao, Yang School of Software Beijing Institute of Technology Beijing 100081 China School of Computer Science and Technology Nanjing Audit University Nanjing 210029 China School of Management and Engineering Nanjing University Nanjing 210093 China Dept. of Information Science and Technology Jining Medical College Jining 272013 China

ISBN: (纸本)0769529097

Knowledge reduction is one of the most important issues in rough sets theory. Many works are related to connection-degree-based rough sets model to treat incomplete information systems. However, the model is not used to knowledge reduction. In this paper, a connection-degree-based rough sets model is proposed and used to knowledge reduction. Two ways for knowledge reduction are proposed and the relationships between them are shown. A knowledge reduction algorithm is also shown for incomplete information systems. The algorithm is based on elementary discernibility matrix and the significance degree of an attribute. Examples are used to show that the validity of the algorithm. © 2007 IEEE.

关键词： Learning algorithms

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An information theoretic framework for ontology-based bioinformatics

An information theoretic framework for ontology-based bioinf...

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2007 information Theory and Applications Workshop, ITA

作者： Alterovitz, Gil Xiang, Michael Ramoni, Marco F. Division of Health Sciences and Technology Harvard Medical School Massachusetts Institute of Technology Boston MA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Children's Hospital Informatics Program Boston MA United States Harvard Partners Center for Genetics and Genomics Harvard Medical School Boston MA United States Department of Biology Massachusetts Institute of Technology Cambridge MA United States

ISBN: (纸本)9780615153148

With myriad information being generated from high-throughput experiments such as microarrays and sequencing technologies, an ever-increasing amount of data is being recorded and analyzed with the help of hierarchical ontologies, such as the Gene Ontology (GO). We have developed a novel framework-based on the well established foundations of information theory - that allows for the evaluation of new types of hypotheses. The framework, encapsulated in Open Biomedical Ontology-Based Exploration and Search (OBOES), has already been applied in the investigation of different kinds of questions. The resulting framework enables the new field of information theoretic ontology-based analysis. We have applied this framework to create methods to re-engineer ontologies, explore fundamental questions on the evolution of biological complexity, determine optimal ontology terms for bioinformatics analysis, and quantify the usefulness of biofluids as proxies for tissues/diseases. In each case, we found that our methods provide novel, significant findings. An open source Java implementation of OBOES is available at: http://***. net.

关键词： information theory

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Software documents: Comparison and measurement

Software documents: Comparison and measurement

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19th International Conference on Software engineering and Knowledge engineering, SEKE 2007

作者： Arbuckle, Tom Balaban, Adam Peters, Dennis K. Lawford, Mark Department of Computer Science and Information Systems CSIS Building University of Limerick Plassey Park Limerick Ireland Institute of Informatics Warsaw University Banacha 2 02-097 Warsaw Poland Electrical and Computer Engineering Faculty of Engineering and Applied Science Memorial University of Newfoundland St. John's NL A1B 3X5 Canada Department of Computing and Software Faculty of Engineering McMaster University Hamilton ON L8S 4K1 Canada

ISBN: (纸本)9781627486613

For some time now, researchers have been seeking to place software measurement on a more firmly grounded footing by establishing a theoretical basis for software comparison. Although there has been some work on trying to employ information theoretic concepts for the quantification of code documents, particularly on employing entropy and entropy-like measurements, we propose that employing the Similarity Metric of Li, Vit´anyi, and coworkers for the comparison of software documents will lead to the establishment of a theoretically justifiable means of comparing and evaluating software artifacts. In this paper, we review previous work on software measurement with a particular emphasis on information theoretic aspects, we examine the body of work on Kolmogorov complexity (upon which the Similarity Metric is based), and we report on some experiments that lend credence to our proposals. Finally, we discuss the potential advantages derived from the application of this theory to areas in the of software engineering. Copyright © (2007) by Knowledge Systems institute (KSI).

关键词： Entropy

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Fast Semi-Supervised Discriminative Component Analysis

Fast Semi-Supervised Discriminative Component Analysis

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IEEE Workshop on Machine Learning for Signal Processing

作者： Jaakko Peltonen Jacob Goldberger Samuel Kaski Laboratory of Computer and Information Science Helsinki Institute for Information Technology and Adaptive Informatics Research Centre Helsinki University of Technology Finland School of Engineering Bar-llan University Ramat-Gan Israel

We introduce a method that learns a class-discriminative subspace or discriminative components of data. Such a sub- space is useful for visualization, dimensionality reduction, feature extraction, and for learning a regularized distance metric. We learn the subspace by optimizing a probabilistic semiparametric model, a mixture of Gaussians, of classes in the subspace. The semiparametric modeling leads to fast computation (O(N) for N samples) in each iteration of optimization, in contrast to recent nonparametric methods that take O(N 2 ) time, but with equal accuracy. Moreover, we learn the subspace in a semi-supervised manner from three kinds of data: labeled and unlabeled samples, and unlabeled samples with pairwise constraints, with a unified objective.

关键词： Gaussian processes Linear discriminant analysis Semisupervised learning Robustness Computational complexity information analysis Jacobian matrices Laboratories information science information technology

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Reliable Model-based Kinematics Analysis System for Articulated Fingers

Reliable Model-based Kinematics Analysis System for Articula...

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29th Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBS 2007), vol.12

作者： Cheung-Wen Chang Lie-Chieh Kuo Y. T. Cheng Fong-Chin Su I-Ming Jou Yung-Nien Sun National Cheng Kung University Tainan TW Institute of Biomedical Engineering China Department of Computer Science & Information Engineering National Cheng Kung University Tainan Taiwan ROC Medical College in National Cheng Kung University Tainan Taiwan Department of Computer Science & Information Engineering Taiwan

The kinematical measurement is regarded as the major indicator of the kinetic functions. In this study, we focused on developing a novel measurement method for kinematics of articulated finger in motion by using biomechanical model prediction and real-time video-based image analysis technique. In contrast to the marker-based system, the proposed 3D model provides more information, appearing on multiple projected 2D images, to estimate more reliable finger kinematics. The proposed method is compact, fast, and can be operated with X-ray fluoroscopy simultaneously. It means that the system provides the capability of synchronous validation between motion video and X-ray fluoroscopy. The proposed system was implemented on a personal computer and can be a new tool in diagnosis and rehabilitation for hand diseases.

关键词： Kinematics Fingers X-ray imaging Kinetic theory Motion measurement Motion analysis Predictive models Image motion analysis Microcomputers Diseases

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