<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dcterms="http://purl.org/dc/terms/">
<rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2218">
    <dcterms:title><![CDATA[Web Technologies In Education]]></dcterms:title>
    <dcterms:abstract><![CDATA[Web technologies are rapidly taking over the traditionally used desktop applications.  Depending on the purpose of the use, web technologies can provide more flexible and  scalable solutions. In this paper we describe the specific use of web technologies in B&amp;H. IT  in the educational field in B&amp;H is still under rise, and several projects have been  developed.This paper describes a project called Smart School that has a rise as an alternative  to the current solutions available on the market. Smart School meets the requirement set for a  stable, scalable and secure application.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1166]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2219">
    <dcterms:title><![CDATA[Tio2 Reinforced Al2o3 Composites]]></dcterms:title>
    <dcterms:abstract><![CDATA[In this study, the effect of TiO2 addition on properties of alumina ceramics was investigated.  The prepared commercial Alcoa alumina reinforced 0-15 % TiO2 were ground in ball mill for  2 h by wet milling and then powders were shaped dry pressing. After shaping operations, the samples were sintered 1500-1650 °C for 2 h. Firing shrinkage, relative density, flexural  strength and hardness tests were performed and also for characterization x-ray diffraction  (XRD) analysis and scanning electron microscopy (SEM) were utilized. It was seen that the  TiO2 addition to alumina has effected on properties of alumina, significantly.  Keywords: Alumina, TiO2, Ceramic Composites.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1257]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2220">
    <dcterms:title><![CDATA[Stock market movement direction prediction using tree algorithms]]></dcterms:title>
    <dcterms:abstract><![CDATA[One of the highly challenging businesses today is the task of forecasting the market  movements by examining the financial time series data as correctly as possible in order to  hedge against the almost incalculable risk involved and to yield better profits for investors. If  there was a highly credible estimation technique available giving better results than the  traditional statistical tools for financial markets, it would be a great asset for trading decision  makers of all kinds such as speculators, arbitrageurs, portfolio fund managers and even  individual investors. In this study CART, C4.5 and Random Forest algorithms were used to  predict the movement direction of a 10 year Istanbul Stock Exchange index (XU-100). Ten  technical market indicators such as momentum, MACD and RSI were used in this study as  the feature set.  Keywords: Price movement direction, CART, C4.5, Random Forest, forecasting, stock  market.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1187]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2221">
    <dcterms:title><![CDATA[Stock market price index return forecasting using ANN]]></dcterms:title>
    <dcterms:abstract><![CDATA[Even though many new data mining techniques have been introduced in prediction  estimation, there is still no single best solution to all financial problems. In this study, an  artificial neural network (ANN) model is utilized for predicting price index returns through  regression. Ten technical market indicators, seven macroeconomic variables, a couple of  other international market indices and a sliding window of ten inputs make up the 30  attributes used in this study. Different combinations of attribute sets is experimented with  different ANN model parameter values to find the highest forecasting accuracy.  Keywords: Price index return, ANN, Forecasting, Data Mining Techniques.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1186]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2222">
    <dcterms:title><![CDATA[Implementation Of Critical Path Method And Project Evaluation And Review Technique]]></dcterms:title>
    <dcterms:abstract><![CDATA[Because of the growing effects of the globalization in various business environments,  the manufacturing industry is expected to be effective and yet efficient. According to this, in planning, scheduling and controlling a project, which is a combination of various activities,  project management techniques (PERT and CPM) are used. Therefore, the research question  is How will the implementation of CPM and PERT influence the effectiveness and efficiency  of furniture company &#039;&#039;Dallas&#039;&#039;? The answer to this question is relevant in oder to point out the  importance of those methods in reducing the project completion time and costs. The data are  taken from the furniture company &#039;&#039;Dallas&#039;&#039; and it will be combined with literature reviews.  The research study is fueled by the following objectives: First is to determine the activities  that are involved in the manufacturing proces in selected company. Second is to demonstrate  the benefits, as well as the drawbacks that those methods might create in the organization.  And third is to demonstrate the influence of CPM and PERT in the entire furniture industry  and its competitiveness. Implications of this research paper are evaluation of the project  completion time and control of the resources, in oder to see that the project is completed  within the planned time and cost by using mentioned methods. At the end of the study, the  result is expected to help all the individuals as well as the companies to understand more the  concept of CPM and PERT methods in reducing the project completion time and costs.  Keywords : CPM, PERT, Furniture Company, Optimization]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1114]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2223">
    <dcterms:title><![CDATA[Importance Of Training Aimed At Production In Businesses:  Educational Studies Carried Out By The Turkish Private Sector]]></dcterms:title>
    <dcterms:abstract><![CDATA[There are basically three kinds of educational activities in the World and in Turkey. These  are formal/organized education, non-formal education, and informal education. In this age the  importance of informal education is increasing. This is due to the inadequacy of formal  education and its complementary, non-formal education, for the postfordist contexture of  production. In Turkey, businesses do not play a part in any of these three kinds of educational  activities. However, their active output are getting larger and larger from formal to informal  education. While there is an indirect participation of the businesses on this issue in formal and  non-formal education, in informal education there is direct participation. Actually, the core of  informal education constitutes the learnings experienced in the work place.  In this study, within the training aimed at production in the businesses, apprenticeship  workshops which are implemented within the frame of formal education and vocational  training which is the extension of formal education, as well as various educational activities  and informal education which are implemented within the formal education are discussed.  The necessity of informal education and its further connection to productivity is emphasized.  Keywords: Productivity, Formal Education, Non-Formal Education, Informal Education.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1213]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2224">
    <dcterms:title><![CDATA[The Investigation On Sustainability Of Total Quality Management In Higher Education  Through Deming’s Pdca Cycle]]></dcterms:title>
    <dcterms:abstract><![CDATA[Total Quality Management (TQM) is an approach that seeks to improve quality and  performance which will meet or exceed customer expectations. This can be achieved by  integrating all quality-related functions and processes throughout the organizations. Total  Quality Management (TQM) is an integrated organizational effort designed to improve  quality at every level. In a TQM effort, participation of all members of an organization is  very important about sustainability. The term sustainability has become popular in policyoriented  research as an expression of what public policies ought to achieve. According to  Brundtland, sustainable development is development that meets the needs of the present  without compromising the needs of future generations to meet their own needs. Sustainability  management, the ability to direct the course of a company, community, organization, or  country in ways that restore and enhance all forms of capital (human, natural, manufactured,  and financial) to generate stakeholder value and contribute to the well-being of current and  future generations. TQM as a management system could be expanded to include components  of sustainability.  The methods for implementing this approach come from the teachings of such quality leaders  as Philip B. Crosby, W. Edwards Deming, Armand V. Feigenbaum, Kaoru Ishikawa and  Joseph M. Juran. For example W. Edwards Deming in the 1950&#039;s proposed that business  processes should be analyzed and measured to identify sources of variations that cause  products to deviate from customer requirements. Deming created a (rather oversimplified)  diagram to illustrate this continuous process, commonly known as the PDCA cycle for Plan,  Do, Check, Act.  In higher education, this study is aimed that offering sustainability of quality education  among the most important goals for university strives to achieve. Moreover the purpose of  this study is to increase the degree of quality awareness, practice, and appreciation of using  PDCA cycle in higher education. As a result, in this study it is mentioned about relationship  between sustainability of total quality management in higher education using by PDCA cycle  technique.Keywords: Total Quality Management, PDCA Cycle, Sustainability, Sustainability  Management, Higher Education]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1104]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2225">
    <dcterms:title><![CDATA[The Factors Determined To The Improvement In The Least Developed And Developing  Countries: Testing A Model]]></dcterms:title>
    <dcterms:abstract><![CDATA[Finding the different ways of the improvement as a multidimensional process causes  different improvement ways in all countries in the world. The economic improvement that  cause a structural changing is very important in all economies all over the world and it is  necessary for the least developed countries at the same time. These countries have solved the  phenomena of poverty, unemployment, low life standards and unimproved. The  differentiation in the socio-cultural structures of the least developed and developing countries  effect the improvement in a positive way.  In the study, the socio-economic factors of improvement and a classification according  to the gross national product levels per person in the least developed and developing countries  have been done by taking the definition accepted by World Bank into consideration. There are  fifteen countries in the classification of the least developed and developing countries. The  data of thirty-three factors in the comparison of these countries have been obtained from the  data source of World Bank, OECD, EUROSTAT and UN (2000 – 2009). The Statistical and Casual Models in the kinds of econometric models have been  estimated with ‘’Panel Model Method’’. For choosing the suitable model, the test for  choosing model ‘’Hausman’’ has been used. As a result, the factors determined to the  improvement of the countries in a different improvement levels have been discussed and the  comments related to them have been made.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1219]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2226">
    <dcterms:title><![CDATA[The link between deposit insurance  And banks’ risk taking]]></dcterms:title>
    <dcterms:abstract><![CDATA[Deposit insurance is an insurance system that guarantees bank deposits of people in case of  bank failure or a run on the bank. The system is first introduced in 1933 for Turkey and taken  its final form with regulations in 2004. Deposit insurance in Turkey is handled by Savings  Deposit Fund Insurance and according to the latest regulations compensation limit covers a  maximum of 50,000 TL per depositor per member institution. Deposit insurance system  which is adopted in most countries has various advantages for both individuals and banks.  However academic debates commonly focus on whether this system encourages banks to take  excessive risk. In this context the purpose of this study is to analyze the link between deposit  insurance and bank risk taking. For this purpose, a panel regression analysis is applied to the  ratio of deposits under insurance to total deposits and basic risk measures of banks operating  in Turkey during 2004-2010.  Keywords: Deposit insurance, bank risk taking, panel data regression.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1286]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2227">
    <dcterms:title><![CDATA[Structural Engineering Applications of Artificial Neural Networks]]></dcterms:title>
    <dcterms:abstract><![CDATA[In this study, infilled planar frames and confined reinforced concrete section have been  analysed using Artificial Neural Network (ANN). ANN architecture was chosen in which  multi layer, feed forward, and back propagation algorithm was used. The training data of  infill frame used were provided by a finite element model in which non-linearity of materials  and the structural interface were taken into account under increasing lateral load. Using the  proposed analytical model (layered model) were generated the training data for confined  reinforced concrete section. Analytical technique uses realistic material models for confined  and unconfined concrete. After completing the training phase, verification of the performance  of the network was carried out using old (included in training phase) and new (not included in  training phase) patterns. The controls conducted in the test phase. The findings of this  exercise show that the ANN algorithm can be successfully and easily used within reasonable  accuracy in order to decrease computational time in finding infill frame and the momentcurvature  relationships of reinforced concrete sections.  Keywords:. Artificial Neural Network, Finite Elements Method, Infilled Frame, Confined  Reinforced Concrete Section, Moment-Curvature]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1201]]></dcterms:extent>
</rdf:Description></rdf:RDF>