Energy Efficiency Prediction using Artificial Neural Network

Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a dataset for building energy performance. The main factors for input variables are: relative compactness, roof area, overall height, surface area, glazing are a, wall area, glazing area distribution of a building, orientation, and the output variables: heating and cooling loads of the building. The dataset used for training are the data published in the literature for various 768 residential buildings. The model was trained and validated, most important factors affecting heating load and cooling load are identified, and the accuracy for the validation was 99.60%

Employee turnover prediction and retention policies design: a case study

This paper illustrates the similarities between the problems of customer churn and employee turnover. An example of employee turnover prediction model leveraging classical machine learning techniques is developed. Model outputs are then discussed to design \& test employee retention policies. This type of retention discussion is, to our knowledge, innovative and constitutes the main value of this paper

Personalised service? Changing the role of the government librarian

Investigates the feasibility of personalised information service in a government department. A qualitative methodology explored stakeholder opinions on the remit, marketing, resourcing and measurement of the service. A questionnaire and interviews gathered experiences of personalised provision across the government sector. Potential users were similarly surveyed to discuss how the service could meet their needs. Data were analysed using coding techniques to identify emerging theory. Lessons learned from government librarians centred on clarifying requirements, balancing workloads and selective marketing. The user survey showed low usage and awareness of existing specialist services, but high levels of need and interest in services repackaged as a tailored offering. Fieldwork confirmed findings from the literature on the scope for adding value through information management advice, information skills training and substantive research assistance and the need to understand business processes and develop effective partnerships. Concluding recommendations focus on service definition, strategic marketing, resource utilisation and performance measurement

A relational insight of brand personification in business-to-business markets

Customers find it difficult to differentiate between competing products based on their functional aspects. The shortening life cycle of products due to quick adoption of technological innovations by competitors makes it difficult for them to identify products based on specifications. The contemporary academic literature related to relationship marketing and brand management is passionate about customer and consumer psychology but little attention has been given to the brand selection criteria of resellers as business customers of the brand. This paper combines branding and relationship marketing as two broad functions of marketing. The paper argues upon the role of human representatives of the brand as brand personified in managing these two functions of marketing in business-to-business markets. The proposal of the paper is to use human representatives as a tool for the execution of relationship marketing and branding strategies. The objective behind using human representatives is to maximize the mindshare of resellers towards the brand and create value for them beyond products and service

An evaluation of the economic impact of broadband in Lincolnshire: updated final report

The Lincolnshire Broadband Initiative, ‘onlincolnshire’, was launched in 2003 to bring a range of broadband supply and demand stimulation activities to businesses across the county. The initiative has used £15 million of European funding, together with matched funding from Lincolnshire County Council, to support a series of significant Information and Communication Technology (ICT) interventions to provide support and financial assistance to eligible Lincolnshire businesses. The ‘onlincolnshire’ initiative has four long term strategic objectives. By 2010: • Lincolnshire will be the foremost rural County in the UK, with regards to ICT usage and skills and will have a commercial environment that embraces ICT; • The main employment sites and premises will have attracted increased and more diverse investment; • ICT will have made a major contribution to business competitiveness, expansion and diversification of the economy – measured through an increase in ICT related employment and a range of ICT based activities; • To have engaged individuals and employers in improving ICT skills to increase local competitiveness, raise the standards, participation and achievement in ICT throughout the County