Diagnosing the viability of functional analysis of a gene sequence process in multiple-recursive bioinformatics experimentalwork situations

The Functional Analysis of a Gene Sequence Process (FAoGS) is a process which requires molecular bench scientists to predict the function of a selected gene sequence. In order to predict a gene function, scientists conduct multiple and complex dry laboratory procedures. The focus of this paper is to explain the adaptation of two models; a Viable System Model (VSM) and Integrated Information Behaviour Model (IBM) for diagnosing the viability of multiple bioinformatics work procedures embedded in recursive work situations. Undertaking experimental work procedures in this kind of environment require scientists to access, use and integrate variety of biological data from heterogeneous information sources. This paper explains how the use of VSM and IBM support the modelling of dry bioinformatics work procedures in multiple-recursive embedded experimental work situations. This model allows systems analyst to identify the operational or autonomous work procedures at different recursion levels of work situations. The results or this analysis will allow systems analyst to understand and establish the existence of cohesive and adaptive mechanisms during FAoGS process in order to suggest appropriate design of Integrated Information Repository (IIR)

Discovering the Impact of Knowledge in Recommender Systems: A Comparative Study

Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information. User profiles play an important role in the success of recommendation process since they model and represent the actual user needs. However, a comprehensive literature review of recommender systems has demonstrated no concrete study on the role and impact of knowledge in user profiling and filtering approache. In this paper, we review the most prominent recommender systems in the literature and examine the impression of knowledge extracted from different sources. We then come up with this finding that semantic information from the user context has substantial impact on the performance of knowledge based recommender systems. Finally, some new clues for improvement the knowledge-based profiles have been proposed.Comment: 14 pages, 3 tables; International Journal of Computer Science & Engineering Survey (IJCSES) Vol.2, No.3, August 201

Citizen awareness to e-government services for information personalization

In the government agency environment, citizen is the customer that utilizes the service provided by government agency as the service provider. The success and acceptance of e-government initiatives depends on citizen willing to utilize the service provided (Carter L and Belanger F, 2004). The core issue in e-government domain now is about the social issue rather than the technical issue. Findings from literatures reveal that the initiative from government side in promoting and building the awareness of citizen is considered low. And by the unawareness of citizen, the communication between government and citizen cannot successfully be built. Therefore the purpose of this paper is to review the success factors of e-government adoption and the issues that influence citizen to aware and adopt the service provided by various researchers. In addition, this paper also discusses the formulation of a citizen-centric framework. The benefit of the framework is to assists the analysis on the relationship between government and citizens. This is to ensure that a suitable method could be further proposed to enhance the relationship and communication between government and citizens. The Citizen-centric framework considers the needs in promoting service to citizen so that information personalization can successfully be accomplished

Efficient Indicators to Evaluate the Status of Software Development Effort Estimation inside the Organizations

Development effort is an undeniable part of the project management which considerably influences the success of project. Inaccurate and unreliable estimation of effort can easily lead to the failure of project. Due to the special specifications, accurate estimation of effort in the software projects is a vital management activity that must be carefully done to avoid from the unforeseen results. However numerous effort estimation methods have been proposed in this field, the accuracy of estimates is not satisfying and the attempts continue to improve the performance of estimation methods. Prior researches conducted in this area have focused on numerical and quantitative approaches and there are a few research works that investigate the root problems and issues behind the inaccurate effort estimation of software development effort. In this paper, a framework is proposed to evaluate and investigate the situation of an organization in terms of effort estimation. The proposed framework includes various indicators which cover the critical issues in field of software development effort estimation. Since the capabilities and shortages of organizations for effort estimation are not the same, the proposed indicators can lead to have a systematic approach in which the strengths and weaknesses of organizations in field of effort estimation are discovered.Comment: 10 page

The Relationship between Users Cognitive Style and Information Seeking Behavior among Postgraduate Engineering Students

AbstractAn important issue that absorbs many attentions is studying the users’ required information and their pattern of dynamic interaction with online search. The aim of this study is to identify the relationship between users’ cognitive style and information seeking. It is to enhance the quality of information presentation and users’ interactions in the Web by adapting their preferences and specific needs. This paper specifically focuses on the use of the Internet by postgraduate engineering students. The sample of this study consists of 50 postgraduate engineering students from the Faculty of Computer Science and Information System in Universiti Teknologi Malaysia. The findings of this study reveal the linear relationship between users’ cognitive styles and information seeking

Enhanced teamwork communication model for electronic clinical pathways in healthcare

© 2018 Matar et al. Background: One of the main challenges to hospital patient flow and treatment includes the lack of a patient-centered approach, which in turn contributes to non-effective teamwork communication. Objectives: To introduce patient-centered approach by implementing electronic clinical pathways to support more effective teamwork communication. To study how to enhance teamwork communication in healthcare by implementing electronic clinical pathways. Methods: We propose a research model, integrating the Donbedian model and the socio-technical theory, to investigate the factors that influence teamwork communication in healthcare. This research applied a quantitative approach using a survey method that was designed along the same principles as in the related work. Preliminary data collection was conducted using the survey method for problem formulation. Results: Designed and developed a model for implementing electronic clinical pathways to enhance teamwork communication in healthcare. Conclusion: This study provides recommendations to hospitals to enhance teamwork communication in healthcare by implementing electronic clinical pathways

Using the fuzzy multi-criteria decision making approach for software requirements prioritization

To avoid breach of agreement or contract in software development projects, stakeholders converge to prioritize specified requirements. This is due to the fact that, not all the specified requirements can be implemented in a single release. Therefore, prioritization is the act of rating requirements according to their relative importance by project stakeholders in order to plan for software release phases. The problem of existing prioritization techniques includes computational complexities, ranking inaccuracy and large disparities between final ranks among others. Consequently, this paper presents an improved approach for prioritizing requirements for software projects requirements with stakeholders based on the limitations of existing prioritization techniques using fuzzy multi-criteria decision-making (FMCDM) approach

Context-aware architecture using mobile phone simulator: a case study of an institution

Mobile phones nowadays are ubiquitous with our daily activities and the sensing ability of the device inspired us to propose context aware services to users in the academic environment. This paper presents the concept of a context aware solution using a proposed architecture from a theoretical perspective. The context-aware solution is a notification that delivers a text or call about certain information dissemination on events or activities that occurs as a result of unforeseen circumstances or situational changes in the institution on their mobile phones. The process is activated by a pop-up from the proxy server through the mobile portal database. This is followed up by a reminder from the server when necessary. This paper offers solution to a perennial problem that normally occur from traditional method of bill board or notice board placement of event such as examination time table or course schedule, as means of information dissemination to lecturers and students in the institution. The approach was simulated with phone simulator, and results shown to lecturers and students as presented in the paper were satisfactory

A reference ontology for profiling scholar's background knowledge in recommender systems

The profiling of background knowledge is essential in scholar's recommender systems. Existing ontology-based profiling approaches employ a pre-built reference ontology as a backbone structure for representing the scholar's preferences. However, such singular reference ontologies lack sufficient ontological concepts and are unable to represent the hierarchical structure of scholars' knowledge. They rather encompass general-purpose topics of the domain and are inaccurate in representing the scholars' knowledge. This paper proposes a method for integrating of multiple domain taxonomies to build a reference ontology, and exploits this reference ontology for profiling scholars' background knowledge. In our approach, various topics of Computer Science domain from Web taxonomies are selected, transformed by DBpedia, and merged to construct a reference ontology. We demonstrate the effectiveness of our approach by measuring five quality-based metrics as well as application-based evaluation against the developed reference ontology. The empirical results show an improvement over the existing reference ontologies in terms of completeness, richness, and coverage

Comparison of decision tree methods in classification of researcher’s cognitive styles in academic environment

In today's internet world, providing feedbacks to users based on what they need and their knowledge is essential. Classification is one of the data mining methods used to mine large data. There are several classification techniques used to solve classification problems. In this article, classification techniques are used to classify researchers as “Expert” and “Novice” based on cognitive styles factors in academic settings using several Decision Tree techniques. Decision Tree is the suitable technique to choose for classification in order to categorize researchers as “Expert” and “Novice” because it produces high accuracy. Environment Waikato Knowledge Analysis (WEKA) is an open source tool used for classification. Using WEKA, the Random Forest technique was selected as the best method because it provides accuracy of 92.72728. Based on these studies, most researchers have a better knowledge of their own domain and their problems and show more competencies in their information seeking behavior compared to novice researchers. This is because the “experts” have a clear understanding of their research problems and is more efficient in information searching activities. Classification techniques are implemented as a digital library search engine because it can help researchers to have the best response according to their demand