Centric Analysis Research Articles

Correction: Ultra High-Resolution Gene Centric Genomic Structural Analysis of a Non-Syndromic Congenital Heart Defect, Tetralogy of Fallot

Correction: Ultra High-Resolution Gene Centric Genomic Structural Analysis of a Non-Syndromic Congenital Heart Defect, Tetralogy of Fallot

슈퍼컴퓨팅 기반의 공학해석 서비스 제공을 위한 멀티 뷰 지원 VR/AR 가시화 시스템 개발

The requirement for high performance visualization of engineering analysis of digital products is increasing since the size of the current analysis problems is more and more complex, which needs high-performance codes as well as high performance computing systems. On the other hand, different companies or customers do not have all the facilities or have difficulties in accessing those computing resources. In this paper, we present a multi-view supporting VR/AR system for providing supercomputing-based engineering analysis services. The proposed system is designed to provide different views supporting VR/AR visualization services depending on the requirement of the customers. It provides a sophisticated VR rendering directly dependent on a supercomputing resource as well as a remotely accessible AR visualization. By providing multi-view centric analysis services, the proposed system can be more easily applied to various customers requiring different levels of high performance computing resources. We will show the scalability and vision of the proposed approach by demonstrating illustrative examples with different levels of complexity.

Design of RNA splicing analysis null models for post hoc filtering of Drosophila head RNA-Seq data with the splicing analysis kit (Spanki)

BackgroundThe production of multiple transcript isoforms from one gene is a major source of transcriptome complexity. RNA-Seq experiments, in which transcripts are converted to cDNA and sequenced, allow the resolution and quantification of alternative transcript isoforms. However, methods to analyze splicing are underdeveloped and errors resulting in incorrect splicing calls occur in every experiment.ResultsWe used RNA-Seq data to develop sequencing and aligner error models. By applying these error models to known input from simulations, we found that errors result from false alignment to minor splice motifs and antisense stands, shifted junction positions, paralog joining, and repeat induced gaps. By using a series of quantitative and qualitative filters, we eliminated diagnosed errors in the simulation, and applied this to RNA-Seq data from Drosophila melanogaster heads. We used high-confidence junction detections to specifically interrogate local splicing differences between transcripts. This method out-performed commonly used RNA-seq methods to identify known alternative splicing events in the Drosophila sex determination pathway. We describe a flexible software package to perform these tasks called Splicing Analysis Kit (Spanki), available at http://www.cbcb.umd.edu/software/spanki.ConclusionsSplice-junction centric analysis of RNA-Seq data provides advantages in specificity for detection of alternative splicing. Our software provides tools to better understand error profiles in RNA-Seq data and improve inference from this new technology. The splice-junction centric approach that this software enables will provide more accurate estimates of differentially regulated splicing than current tools.

Software techniques for negating skid and approximating cache miss measurements

Data centric analysis using direct measurements has been established as a successful performance analysis technique. Information gathered with this technique can map cache misses to program variables. These mappings can then be used to address data locality problems and other issues. Existing approaches rely on special hardware support which is needed to negate a 'skid' factor. Our approach is viable when the special hardware support is not present, but where skid is still an issue. Prior methods also rely on maintaining runtime information about memory allocation addresses for variables, which may lead to program perturbation. Our approach uses software analysis to eliminate the need for maintaining allocation and free records. We show that by using heuristics our technique can attribute cache misses to program variables while maintaining the approximate rank-order found by using traditional techniques. We also show that there exists a high correlation between the misses attributed by our approximation and the misses assigned by examining direct measurements.

Multiple interpretations of child art–the importance of context and perspective.

Research mapping out children’s artistic development has largely followed what Wilson (1997a) has termed a modernist framework in which standardized rating scales are used to uncover universal laws of drawing development. This article researches the interpretation of children’s artwork from a postmodern framework and addresses how aesthetic values shape the way art is conceptualized. A viewer centric analysis focuses on case studies of masks created by 10–11-year-old children in an English Year 6 art lesson. A qualitative thematic analysis is utilized to examine the interpretation of the masks from the perspective of the child who created the mask, the teacher who took the art lesson, the researcher, and a professional artist. An exploration of multiple perspectives presents the interpretation of children’s art as socially constructed concept; that is, an active, context dependent activity which raises questions for the use of objective rating scales in this area.

Service quality in online marketing: Customers centric analysis

In this ICT age, we have witnessed a substantial growth of internet based services. One of the key challenges of the online as a service delivery channel is how they manage service quality, which holds a significant importance to customer satisfaction. The purpose of this study was to gain a better understanding of the service quality dimensions that affect customer satisfaction in online marketing from a customer perspective. The data were collected through a questionnaire with 127 online shoppers. Exploratory factor analysis was conducted to narrate the important service quality factors in online marketing. This study identifies seven service quality dimensions having a strong impact on customer satisfaction.

Collider physics based on e-Science paradigm of experiment–computing–theory

Researches in the 21st century are characterized by e-Science paradigm, which is the data centric analysis as a unified concept of experiment–computing–theory. In this paper the e-Science paradigm has been realized in collider physics by constructing the unified research environment of experiment–theory and theory–computing as well as that of computing–experiment performed at KISTI (Korea Institute of Science and Technology Information). In other words, the fusion concept of collider physics of experiment, computing and theory has been applied. The goal of this approach is to study collider physics anytime, anywhere for more efficient research process. The construction of e-Science paradigm of experiment, computing and theory in collider physics provides us with new research methodology in computational physics.

A NOVEL APPROACH OF REQUIREMENT GATHERING AND ANALYSIS FOR AGENT ORIENTED SOFTWARE ENGINEERING (AOSE)

In this paper, an agent-based open and adaptive system development process has been proposed which continuously change and evolve to meet new requirements. The proposed methodology is based on a model-based technique that provides a specific model for the type of information to be gathered and uses this model to drive the domain specific analysis process. The focus is on a clear separtion between the requirement gathering and analysis phases. The analysis methodology further splits the analysis phase into the user_centric analysis and the system_centric analysis phases. Optimization of the system performance has also been proposed by exploiting the relationships and dependencies among roles and mapping criteria between roles to agents. The Gaia and ROADMAP models have been used as a basis to the proposed agent-based modeling method.

3.1.2 Human Performance Modeling for Enterprise Transformation

AbstractSatisfaction of current demands for increased efficiency in the use of human resources requires nothing less than a revolutionary transformation in how we structure complex socio‐technical systems. Human systems issues related to transformation of complex socio‐technical systems pose substantive design challenges that must be addressed with human–centric analysis followed by human‐centric design. In this paper, I integrate a cognitive work analysis strategy with a human performance modeling strategy which, when combined, constitutes a systematic, human–centric analysis‐to‐prototype design framework. I have described the cognitive work analysis strategy elsewhere and in this paper focus my discussion on cognitive workflow modeling. I illustrate the requirements of human performance modeling and methods of satisfying them with reference to a Brahms workflow model of time sensitive targeting based in part on a functional abstraction space developed within a cognitive work analysis and use that workflow model to motivate discussion of issues related to human‐centric design for enterprise transformation.

A hybrid model for agent based system requirements analysis

Many well known agent-oriented software analysis method have been proposed such as GAIA, ROADMAP, PROMETHUS and TROPOS methodology. Out of the numerous proposed methods, selecting a particular analysis method is again a problem, as every method has its own advantages and disadvantages. There is an ongoing effort to find such a comprehensive agent oriented analysis method, which addresses most of the parameters of software analysis and also satisfies most of the existing methodology properties. In our previous work, we presented a methodology for open and adaptive system to provide a clear separation between requirement gathering and analysis phases. In this paper, we propose a new analysis method based on the methodology proposed by us in our previous work. An agent-based system is a complex software system with functional and non-functional attributes. Non-functional requirements (NFRs) are crucial software requirements that have been specified early in the software development process while eliciting the functional requirements (FRs) in agent oriented software development. Some of the functional and non-functional attributes are of a crosscutting nature i.e. it is difficult to represent clearly how an attribute may effect several other requirements simultaneously. This new analysis methodology splits the analysis phase into the System User centric Analysis and the System centric Analysis phases. This refinement is achieved by identification and separation of all requirements into three types of requirements i.e. Functional, Non-Functional and Crosscutting requirements.