Stephen Hansen

Web Engineering: A New Discipline for Development of Web-Based Systems

In most cases, development of Web-based systems has been ad hoc, lacking systematic approach, and quality control and assurance procedures. Hence, there is now legitimate and growing concern about the manner in which Web-based systems are developed and their quality and integrity. Web Engineering, an emerging new discipline, advocates a process and a systematic approach to development of high quality Web-based systems. It promotes the establishment and use of sound scientific, engineering and management principles, and disciplined and systematic approaches to development, deployment and maintenance of Web-based systems. This paper gives an introductory overview on Web Engineering. It presents the principles and roles of Web Engineering, assesses the similarities and differences between development of traditional software and Web-based systems, and identifies key Web engineering activities. It also highlights the prospects of Web engineering and the areas that need further study.

Cognition and the temporal arts: Investigating audience response to dance using PDAs that record continuous data during live performance

If artists and art explore organization of the brain [Zeki, S., Lamb, M., 1994. The neurology of kinetic art. Brain 117, 607-636], then investigation of response to artistic performance holds promise as a window to perceptual and cognitive processes. A new instrument for recording real-time audience response - the portable Audience Response Facility (pARF) - is described. Twenty, hand-held, Personal Digital Assistants (PDAs) collect responses on customizable skin interfaces. The pARF server transmits the customizable options, synchronizes devices and collects data for export. We report two studies using the pARF that demonstrate respondent agreement of perceived emotion during particular sections of two dance works. Greater agreement was evident in continuous ratings of arousal than valence; arousal appears to be related to surface features of the dance work. Future applications of the pARF to studies of multi-modal perception and cognition are discussed.

Critical Review of Data Mining Techniques for Gene Expression Analysis

Classification of gene expression data has been exploded in the recent years. This can aid in the development of efficient methodology in the field of bio-informatics to be used for tumours diagnosis and treatment. Data mining is an effective technique being used in this field. One of the most difficulties facing this technology is the inappropriate classification methods that examine complex structure of gene expression data. In this paper, we give a brief introduction of gene expression data with experiment and we have made a critical review of major techniques being applied in the field of gene expression data with help of data mining. It can be seen that researchers have developed various techniques for gene data classification. In addition, they may differ from one to another whereas results are still showing the need for enhancement in this field. Some of these techniques are addressed in this paper in term of advantages and disadvantages. Accordingly, the deoxyribonucleic acid (DNA) is considered as the maestro of the tumour-derived factors. Analyzing changes on the gene expression may give rise for diagnosis enhancement of affected tissues in their early stages. For that reason, an ongoing research is addressing the problem of subspace clustering methodologies suitable for high dimensional datasets and verify of the new methodologies using appropriate datasets, particularly suitable for the analysis of gene expression data. In this context, researchers have identified various limitations of these methods particularly in the areas of information integration systems, text-mining and bio-informatics.