Psychological and pedagogical foundations for a computer-based learning environment with a language-deficient domain

In a language-deficient domain such as buoyancy, students generally find it difficult to explain phenomena that daily saturate their lives such as sinking and floating. To address this problem, we propose a simple and object-related articulation and reflection tool which is embedded in the BSL System (B stands for Body while S and L are for String and Liquid respectively). An analysis of the findings reveals that generally, the use of the tool decreased with respect to time. Evidence also shows that contents in the tool is either adapted or misused. Finally, evidence suggests positive changes in students’ conceptual knowledge of B and S but not L

A survey of epistemology and its implications on an organisational information and knowledge management model

This is a theoretical paper which aims to integrate various epistemologies from the philosophical, knowledge management, cognitive science, and educational perspectives. From a survey of knowledge-related literature, we have collated diverse views of knowledge. This is followed by categorising as well as ascribing attributes to the different types of knowledge. We have developed a novel Organisational Information and Knowledge Management Model which seeks to clarify the distinctions between information and knowledge by introducing a novel information and knowledge conversions; followed by providing mechanisms for individual knowledge creation and information sharing within an organisation

A value oriented conceptual model for innovation in local government

The political rhetoric that accompanied the introduction of eGovernment expected it to produce innovation in the way government agencies conducted themselves with citizen and business alike. It was assumed that innovation was both "good" and inevitable. This paper challenges these assumptions and presents a more realistic model of how innovation might occurs in UK local government. The model is supported by anecdotal evidence, literature and a recent study of eGoverment achievement in the UK - VIEGO. A key element in the model is the notion of innovation value

Austrian higher education institutions' idiosyncrasies and technology transfer system

The aim of this paper is to present the findings of a PhD research (Heinzl, 2007) conducted on the Universities of Applied Sciences in Austria. The research is to establish an idiosyncrasy model for Universities of Applied Sciences in Austria showing the effects of their idiosyncrasies on the ability to successfully conduct technology transfer. Research applied in the study is centred on qualitative methods as major emphasis is placed on theory building. The study pursues a stepwise approach for the establishment of the idiosyncrasy model. In the first step, an initial technology transfer model and list of idiosyncrasies are established based on a synthesis of findings from secondary research. In the second step, these findings are enhanced by the means of empirical research including problem-centred expert interviews, a focus group and participant observation. In the third step, the idiosyncrasies are matched with the factors conducive for technology transfer and focused interviews have been conducted for this purpose. The findings show that idiosyncrasies of Universities of Applied Sciences have remarkable effects on their technology transfer abilities. This paper presents four of the models that emerge from the PhD research: Generic Technology Transfer Model (Section 5.1); Idiosyncrasies Model for the Austrian Universities of Applied Sciences (Section 5.2); Idiosyncrasies-Technology Transfer Effects Model (Section 5.3); Idiosyncrasies-Technology Transfer Cumulated Effects Model (Section 5.3). The primary and secondary research methods employed for this study are: literature survey, focus groups, participant observation, and interviews. The findings of the research contribute to a conceptual design of a technology transfer system which aims to enhance the higher education institutions' technology transfer performance

A Comparative Study on the Energy Consumption of PHP Single and Double Quotes

This paper is an enhanced version of the paper presented at the SEEDS Conference (Olaoluwa, et. al, 2015). The increasing rate of carbon dioxide and other greenhouse gas emission resulting from the use of IT and other human activities to the atmosphere has become a major source of concern. It is imperative for the IT sector to ensure that its products are effective and energy efficient accompanied by mitigated negative impact on the environment. Reducing energy consumption of IT products is a key to contributing towards a greener environment. Another alternative is to produce energy efficient codes for software applications. In programming or scripting languages, an end result can be achieved in more than one way. For example, in PHP, a print command can be executed using a single quote and can also be achieved using a double quote. They have similar functions with similar quality of the intended outcomes. The aim of this research is conduct an investigation on the energy consumption of selected PHP scripts that perform similar functions: print single and double quote; echo single and double quote, etc… The Joulemeter energy measuring tool is used to measure the amount of energy consumed when run the various PHP scripts

ENERGY CONSUMPTION OF MOBILE PHONES

Battery consumption in mobile applications development is a very important aspect and has to be considered by all the developers in their applications. This study will present an analysis of different relevant concepts and parameters that may have an impact on energy consumption of Windows Phone applications. This operating system was chosen because limited research related thereto has been conducted, even though there are related studies for Android and iOS operating systems. Furthermore, another reason is the increasing number of Windows Phone users. The objective of this research is to categorise the energy consumption parameters (e.g. use of one thread or several threads for the same output). The result for each group of experiments will be analysed and a rule will be derived. The set of derived rules will serve as a guide for developers who intend to develop energy efficient Windows Phone applications. For each experiment, one application is created for each concept and the results are presented in two ways; a table and a chart. The table presents the duration of the experiment, the battery consumed in the experiment, the expected battery lifetime, and the energy consumption, while the charts display the energy distribution based on the main threads: UI thread, application thread, and network thread

A WEB-BASED ENVIRONMENTAL TOOLKIT TO SUPPORT SMES IN THE IMPLEMENTATION OF AN ENVIRONMENTAL MANAGEMENT SYSTEM

With small and medium sized-enterprises (SMEs) taking up the majority of the global businesses, it is important they act in an environmentally responsible manner. Environmental management systems (EMS) help companies evaluate and improve their environmental impact but they often require human, financial, and temporary resources that not all SMEs can afford. This research encompasses interviews with representatives of two small enterprises in Germany to provide insights into their understanding, and knowledge of an EMS and how they perceive their responsibility towards the environment. Furthermore, it presents a toolkit created especially for small and medium-sized enterprises. It serves as a simplified version of an EMS based on the ISO 14001 standard and is evaluated by target users and appropriate representatives. Some of the findings are: while open to the idea of improving their environmental impact, SMEs do not always feel it is their responsibility to do so; they seem to lack the means to fully implement an EMS. The developed toolkit is considered useful and usable and recommendations are drawn for its future enhancement

A Green Programming Model for Cloud Software Efficiency

Cloud computing is emerging as a methodology for delivering more energy efficient computing provision. The potential advantages are well-known, and are primarily based on the opportunities to achieve economies of scale through resource sharing: in particular, by concentrating data storage and processing within data centers, where energy efficiency and measurement are well established activities. However, this addresses only a part of the overall energy cost of the totality of the cloud: energy is also required to power the networking connections and the end user systems through which access to the data center is provided, and researchers are beginning to recognize this. One further aspect of cloud provision is less well understood: the impact of application software behavior on the overall system’s energy use. This is of particular concern when one considers the current trend towards “off the shelf” applications accessed from application stores. This mass market for complete applications, or code segments which are included within other applications, creates a very real need for that code to be as efficient as possible, since even small inefficiencies when massively duplicated will result in significant energy loss. This position paper identifies this problem in detail, and proposes a support tool which will indicate to software developers the energy efficiency of their software as it is developed. Fundamental to the delivery of any workable solution is the measurement and selection of suitable metrics, we propose appropriate metrics and indicate how they may be derived and applied within our proposed system. Addressing the potential cost of application development is fundamental to achieving energy saving within the cloud – particularly as the application store model gains acceptance

Environmental responsibility assessment using belief rule based inference

This book chapter is an extension of (Bazarhanova et al., Belief rule-based environmental responsibility assessment for small and medium-sized enterprises (note: this includes a comparison with fuzzy logic), Proceedings of 2016 IEEE Future Technologies Conference, 6–7 December, San Francisco, US, 2016; Bazarhanova et al., A Belief Rule-Based Environmental Responsibility Assessment System for Small and Medium-Sized Enterprises (note: without comparison with fuzzy logic), International SEEDS Conference, 14–15th September, 2016, Leeds. (Won Highly Commended Award for Green Infrastructure Category, 2016)) and adaptation from (Bazarhanova, A Belief Rule-Based Environmental Responsibility Assessment System for Small and Medium-Sized Enterprises, An unpublished Masters Degree Dissertation, Leeds Beckett University. URL: https://www.doria.fi/bitstream/handle/10024/124773/Thesis%20Bazarhanova.pdf?sequence=2, 2016). This chapter proposes the use of belief rule-based (BRB) inference engine for Environmental Responsibility assessment in small- and medium-sized enterprises. Such a context-adapted approach is believed to generate well-balanced, sensible, and Green ICT readiness-adapted results, to help enterprises focus on making improvement on more sustainable business operations

Green cloud software engineering for big data processing

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Internet of Things (IoT) coupled with big data analytics is emerging as the core of smart and sustainable systems which bolsters economic, environmental and social sustainability. Cloud-based data centers provide high performance computing power to analyze voluminous IoT data to provide invaluable insights to support decision making. However, multifarious servers in data centers appear to be the black hole of superfluous energy consumption that contributes to 23% of the global carbon dioxide (CO2) emissions in ICT (Information and Communication Technology) industry. IoT-related energy research focuses on low-power sensors and enhanced machine-to-machine communication performance. To date, cloud-based data centers still face energy-related challenges which are detrimental to the environment. Virtual machine (VM) consolidation is a well-known approach to affect energy-efficient cloud infrastructures. Although several research works demonstrate positive results for VM consolidation in simulated environments, there is a gap for investigations on real, physical cloud infrastructure for big data workloads. This research work addresses the gap of conducting real physical cloud infrastructure-based experiments. The primary goal of setting up a real physical cloud infrastructure is for the evaluation of dynamic VM consolidation approaches which include integrated algorithms from existing relevant research. An open source VM consolidation framework, Openstack NEAT is adopted and experiments are conducted on a Multi-node Openstack Cloud with Apache Spark as the big data platform. Open sourced Openstack has been deployed because it enables rapid innovation, and boosts scalability as well as resource utilization. Additionally, this research work investigates the performance based on service level agreement (SLA) metrics and energy usage of compute hosts. Relevant results concerning the best performing combination of algorithms are presented and discussed