Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure

Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies. However, its nature and fundamental challenge have not been recognized, and its own methodology has not been formed. This paper explores and answers the following questions: What is big data? What are the basic methods for representing, managing and analyzing big data? What is the relationship between big data and knowledge? Can we find a mapping from big data into knowledge space? What kind of infrastructure is required to support not only big data management and analysis but also knowledge discovery, sharing and management? What is the relationship between big data and science paradigm? What is the nature and fundamental challenge of big data computing? A multi-dimensional perspective is presented toward a methodology of big data computing.Comment: 59 page

Data management of nanometre­ scale CMOS device simulations

In this paper we discuss the problems arising in managing and curating the data generated by simulations of nanometre scale CMOS (Complementary Metal–Oxide Semiconductor) transistors, circuits and systems and describe the software and operational techniques we have adopted to address them. Such simulations pose a number of challenges including, inter alia, multi­TByte data volumes, complex datasets with complex inter-relations between datasets, multi­-institutional collaborations including multiple specialisms and a mixture of academic and industrial partners, and demanding security requirements driven by commercial imperatives. This work was undertaken as part of the NanoCMOS project. However, the problems, solutions and experience seem likely to be of wider relevance, both within the CMOS design community and more generally in other disciplines

Grid-enabled SIMAP utility: Motivation, integration technology and performance results

A biological system comprises large numbers of functionally diverse and frequently multifunctional sets of elements that interact selectively and nonlinearly to produce coherent behaviours. Such a system can be anything from an intracellular biological process (such as a biochemical reaction cycle, gene regulatory network or signal transduction pathway) to a cell, tissue, entire organism, or even an ecological web. Biochemical systems are responsible for processing environmental signals, inducing the appropriate cellular responses and sequence of internal events. However, such systems are not fully or even poorly understood. Systems biology is a scientific field that is concerned with the systematic study of biological and biochemical systems in terms of complex interactions rather than their individual molecular components. At the core of systems biology is computational modelling (also called mathematical modelling), which is the process of constructing and simulating an abstract model of a biological system for subsequent analysis. This methodology can be used to test hypotheses via insilico experiments, providing predictions that can be tested by in-vitro and in-vivo studies. For example, the ERbB1-4 receptor tyrosine kinases (RTKs) and the signalling pathways they activate, govern most core cellular processes such as cell division, motility and survival (Citri and Yarden, 2006) and are strongly linked to cancer when they malfunction due to mutations etc. An ODE (ordinary differential equation)-based mass action ErbB model has been constructed and analysed by Chen et al. (2009) in order to depict what roles of each protein plays and ascertain to how sets of proteins coordinate with each other to perform distinct physiological functions. The model comprises 499 species (molecules), 201 parameters and 828 reactions. These in silico experiments can often be computationally very expensive, e.g. when multiple biochemical factors are being considered or a variety of complex networks are being simulated simultaneously. Due to the size and complexity of the models and the requirement to perform comprehensive experiments it is often necessary to use high-performance computing (HPC) to keep the experimental time within tractable bounds. Based on this as part of an EC funded cancer research project, we have developed the SIMAP Utility that allows the SImulation modeling of the MAP kinase pathway (http://www.simap-project.org). In this paper we present experiences with Grid-enabling SIMAP using Condor

Using authentic 3D product visualisation for an electrical online retailer

This study investigates the effects of authentic three dimensional (3D) product visualisation versus 3D telepresence on consumers’ virtual experience. A hypothetical electrical retailer Web site presents a variety of laptops using 3D product visualisations for the within-subjects laboratory experiments. The first experiment uses two-way repeated measures ANOVA to determine the effects of the antecedents on 3D authenticity. In a second experiment, a one-way ANOVA compares telepresence and authenticity scores. This research uses a U.K. sample to investigate the effects of control and animated colours on 3D authenticity and the effects of 3D authenticity on experiential and instrumental values. The results reveal significant differences between telepresence and authenticity constructs. Authenticity is more significant in simulating an online retailer’s products, and control and animated colours represent the main antecedents of authenticity. Moreover, experiential and instrumental values represent the main consequences of 3D authenticity

The effects of progressive levels of 3d authenticity antecedents and consequences on consumers’ virtual experience

This study investigates the effects of authentic three dimensional (3D) product visualisation antecedents on 3D authenticity, and the effects of 3D authenticity consequences on consumers’ virtual experience. A hypothetical retailer Web site presents a variety of laptops for the within-subjects laboratory experiments. In a first experiment, a one-way ANOVA compares telepresence and authenticity scores. The second experiment uses two-way repeated measures ANOVA to determine the effects of the progressive levels of the antecedents on 3D authenticity. In a third experiment, two-way repeated measures ANOVA determine the effects of the progressive levels of 3D authenticity consequences on willingness to purchase. The results show that authenticity is more useful than telepresence in simulating consumers’ virtual experience. The high levels of control and animated colours lead to higher authenticity for the site. In addition, the high levels of 3D utilitarian and hedonic constructs enhance willingness to purchase from the online retailer

3D product authenticity model for online retail: An invariance analysis

This study investigates the effects of different levels of invariance analysis on three dimensional (3D) product authenticity model (3DPAM) constructs in the e- retailing context. A hypothetical retailer Web site presents a variety of laptops using 3D product visualisations. The proposed conceptual model achieves acceptable fit and the hypothesised paths are all valid. We empirically investigate the invariance across the subgroups to validate the results of our 3DPAM. We concluded that the 3D product authenticity model construct was invariant for our sample across different gender, level of education and study backgrounds. These findings suggested that all our subgroups conceptualised the 3DPAM similarly. Also the results show some non-invariance results for the structural and latent mean models. The gender group posits a non-invariance latent mean model. Study backgrounds group reveals a non-invariance result for the structural model. These findings allowed us to understand the 3DPAMs validity in the e-retail context. Managerial implications are explained

Using 3D product visualisation to tap consumers’ experience with online retailers: From telepresence to authenticity

This study investigates the effects of authentic three dimensional (3D) product visualisation versus 3D telepresence on consumers’ virtual experience. A hypothetical retailer Web site presents a variety of laptops using 3D product visualisations for the within-subjects laboratory experiment. The first stage uses two-way repeated measures ANOVA to determine the effects of the progressive levels of control and animated colours on 3D authenticity (the dependent variable). In a second stage, we use structural equation modelling to test the proposed hypothesis. This research uses a U.K. sample to investigate the effects of 3D authenticity and 3D telepresence on willingness to purchase and reveals significant differences between telepresence and authenticity constructs. Authenticity is more significant in simulating an online retailer’s products, and control and animated colours represent the main antecedents of authenticity. The proposed conceptual model achieves acceptable fit and the hypothesised paths are all valid

'BioNessie(G) - a grid enabled biochemical networks simulation environment

The simulation of biochemical networks provides insight and understanding about the underlying biochemical processes and pathways used by cells and organisms. BioNessie is a biochemical network simulator which has been developed at the University of Glasgow. This paper describes the simulator and focuses in particular on how it has been extended to benefit from a wide variety of high performance compute resources across the UK through Grid technologies to support larger scale simulations