<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/2281">
    <dcterms:title><![CDATA[Hydrogen Production via Natural Gas Reforming Process – A Life Cycle Assessment  Approach]]></dcterms:title>
    <dcterms:abstract><![CDATA[The use of hydrogen as a sustainable alternative fuel and energy carrier is gaining more  acceptance as the environmental impact of hydrocarbons becomes more significant. Hydrogen  can be produced from various energy sources, such as steam reforming of natural gas, coal  gasification, water electrolysis and thermo-chemical water splitting. Hydrogen production is  accomplished by steam reforming of natural gas and other fossil primary energy at  approximately 97% of total and less than 3% is based on renewable energy sources, such as  solar, wind, biomass, geothermal, etc. Today, steam reforming of natural gas is the most  important and economic ways of the hydrogen production. The environmental performance of  products or processes has become a key issue, which is why ways to minimize the effects on  the environment are investigated. One of the effective ways for this purpose is life cycle  assessment (LCA). In this paper, LCA of hydrogen production by natural gas reforming  (NGR) process are investigated for environmental affect. The investigation uses LCA, which  is an analytical tool to identify and quantify environmentally critical phases during the life  cycle of a system or a product and/or to evaluate and decrease the overall environmental  impact of the system or product.  Keywords: Environmental effects, hydrogen production, LCA, natural gas reforming]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1253]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2280">
    <dcterms:title><![CDATA[Do Private Savings Offset Public Savings in Turkey?]]></dcterms:title>
    <dcterms:abstract><![CDATA[The issue of whether public savings offset private savings, and visa vice, has important  implications for the effectiveness of fiscal policy. This study examines long-run relationship  between public and private savings rates using annual Turkish data for the period 1975-2005.  The result of Engle-Granger cointegration test has shown that there is no long-run relationship  between private and public savings ratios. However,once endogenously determined structural  break is allowed, the test results confirm the existence of the cointegration relationship  between private and public savings. Econometric estimation of the offset coefficients using  both FMOLS and DOLS yields values of between -0.11 and -0.82. The results also indicate  that the potency of fiscal policy significantly reduced with the liberalization of financial  markets.Keywords: Savings, Offset coefficient, Ricardian Equivalence, DOLS, FMOLS.  JEL Classificiation: E6, H6, E21]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1299]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2279">
    <dcterms:title><![CDATA[Neural-Network Applications for Analysis of Infilled Frame]]></dcterms:title>
    <dcterms:abstract><![CDATA[The modelling of infilled frames is complex due to the large number of variables as well as  the non-linear material behaviour involved. Artificial Neural Network (ANN) is found to be a  tool capable of solving such problems. This has led to the increasing use of ANN for  analysing infilled reinforced concrete frames. This paper reports the details of a study  conducted using ANN for predicting the failure of an infilled reinforced concrete infilled  frame subjected to lateral loading. Using the data generated based on analytical solutions, the  ANN model was trained. The so trained model was tested for different set of input parameters  and the output values were compared with the actual values based on analytical results. The  agreement was found to be good.  Keywords:. Artificial Neural Network (ANN), Infilled Frame, Equivalent strut method]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1203]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2278">
    <dcterms:title><![CDATA[Neural-Network Applications for Analysis of Infilled Frame]]></dcterms:title>
    <dcterms:abstract><![CDATA[The modelling of infilled frames is complex due to the large number of variables as well as  the non-linear material behaviour involved. Artificial Neural Network (ANN) is found to be a  tool capable of solving such problems. This has led to the increasing use of ANN for  analysing infilled reinforced concrete frames. This paper reports the details of a study  conducted using ANN for predicting the failure of an infilled reinforced concrete infilled  frame subjected to lateral loading. Using the data generated based on analytical solutions, the  ANN model was trained. The so trained model was tested for different set of input parameters  and the output values were compared with the actual values based on analytical results. The  agreement was found to be good.  Keywords:. Artificial Neural Network (ANN), Infilled Frame, Equivalent strut method]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1202]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2277">
    <dcterms:title><![CDATA[Interactions between chemicals used in aquaculture and environment in terms of  sustainable development]]></dcterms:title>
    <dcterms:abstract><![CDATA[Aquaculture that is the farming of aquatic organisms such as fish, crustaceans, molluscs and  aquatic plants, is the fastest growing animal production sector in the world. Global production  from aquaculture for human consumption amounted to 73 million tonnes and the value of  US$ 110 billion in 2009 and comprised almost fifty percent of the world’s fish supply.  Aquaculture, thus, plays an important role in global efforts towards eliminating malnutrition  and brings significant health benefits by nutritional well-being. It significantly dominates  most devoloping countries in terms of contribution to development by increasing gross  domestic product, providing employment opportunities and improving incomes.  The potentially adverse impacts of aquaculture that is also threat the sustainability when the  sector grows unregulated or under poor management, is of considerable current environmental and public interest in the world. Besides eutrophication and genetically modified organisms  (GMOs), the main environmental pressure associated with intensive aquaculture is chemicals  (antibiotics, hormones, fungicides, pesticides, antifoulants, anaesthetics and disinfectants)  used in aquaculture. The intensive systems are often associated with various greater use of  different types of antibiotics and chemicals generate very different effects on the environment,  mainly on water and sediment quality (nutrient and organic matter loads), natural aquatic  communities (toxicity, community structure, biodiversity), and microorganisms (alteration of  microbial communities, drug resistant strains).  The interactions between humans, antibiotics, bacteria, fish and aquatic environments are  poorly understood and recent studies show a significant pollution of surface waters with  antibiotics and other chemicals which are potential risk to drinking waters. Moreover, as a  vicious circle and often as well, aquaculture is also negatively affected by pollution of water  supplies by other human activities (ie: agriculture and industrial activities).  The environmental approach to sustainable development can control the use of chemicals to  eliminate or reduce any negative effects to an acceptable level. Sustainability requires global  action, and therefore an effective solution can be achieved on the basis of environmentallyfriendly  management systems towards social-ecological aquaculture to integrate aquaculture,  environment and society locally and globally. This paper, consequently, addresses the  relevance of the environmental approach to the role of aquaculture in sustainable  development.  Keywords: Aquaculture, Chemicals, Antibiotics, Environment, Sustainable Development]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1237]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2276">
    <dcterms:title><![CDATA[Offline Signature Recognition Using Machine Learning]]></dcterms:title>
    <dcterms:abstract><![CDATA[Biometric behavior can be recognized through the signature behavior of a person. It is mostly  used for authorization and authentication in legal documentation papers. Signature  recognition has two ways of verification, dynamic or online recognition and static or offline  recognition. In this paper we use offline recognition to analyze signature images using  Artificial Neural Network. We used mark minutia masking as the feature extraction. We  proposed offline signature recognition using machine learning with supervised learning  algorithm. The aim of using artificial neural network is to automatically find signatures that  match to the owners of the signatures. Based on our evaluation, after we compared feed  forward backpropagation and other supervised learning network such cascade-forward  network, it revealed cascade-forward shown the highest accuracy100 % with low mean  square error 0.  Keywords: biometric, offline signature, machine learning]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1142]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2275">
    <dcterms:title><![CDATA[Economic Dimension Of The Environmental Policies Applied In Turkey And Its  Potential Effects On Sustainable Development]]></dcterms:title>
    <dcterms:abstract><![CDATA[The purpose of the paper is to analyse the economic dimension of environmental policies still  being applied in Turkey and to research the potential effects of sustainable development. In  1987 Bruntland Report was published by UN World Commission on Environment and  Development and attention on sustainable development was attracted. In the aforementioned  report, against the ever deteriorating environmental problems, the necessities of establishing  the vital bridge between environmental development and economic development and the  sustainability of development are accepted.  The first precaution coming to mind for preventing environmental destructions that causes  crucial costs for national economies is the efficient and productive use of current resources  and the establishment of an optimal equilibrium between current and future generations in  terms of the use of resources. Being sensitive in terms of the principle of sustainable  development in the formation of environmental policies is accepted to be an important  approach for the prevention of environment. Although the sustainable development  endeavours cause significant costs, it is observed that new policies are constantly formed in  terms of environment. In the scope of the paper, the potential effects of environmental  policies that aim to decrease the negative effects created by the destruction of environment  and to turn the world into a more habitable area on sustainable development are analysed  through national and international data ]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1330]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2274">
    <dcterms:title><![CDATA[Obstacles in collaborative consumption websites’ development: A case from Bosna and  Herzegovina]]></dcterms:title>
    <dcterms:abstract><![CDATA[According to Rachel Botsman, a renowned social innovator, the 21st century will be  characterized by collaborative consumption. It is a new mode of business backed up by  network technologies and based on the ancient methods of trading by bartering and swapping.  Collaborative consumption websites engage and specialize in information, service and goods  sharing, swapping, renting, lending, and trading. The power of these new marketplaces is in  changing the way people view ownership and consumption, alleviating the hardship of  economic recession, freeing the flow of knowledge and information, and creating a business  model which supports the reuse of goods and space for a greener world.  The content of this research paper provides an understanding of the drivers for collaborative  consumption technology in a developing country in economic recession time, precisely  Bosnia and Herzegovina (B&amp;H). The key research question to be addressed in this study is:  What are the issues faced in B&amp;H when embarking on a collaborative consumption website  development project?  Keywords: collaborative consumption (CC), swapping, website development, green  technologies, emerging technology issues, system requirements, case study, empirical  approach, collaborative technologies]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1215]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2273">
    <dcterms:title><![CDATA[A Case Study of Probit Model Analysis of Factors Affecting Consumption  of Packed and Unpacked Milk in Turkey]]></dcterms:title>
    <dcterms:abstract><![CDATA[This paper focused on the effects of some socio-demographic factors on the decision of the  consumer to purchase packed or unpacked milk in Sivas, Turkey. The data were collected  from 300 consumers by using face to face survey technique. Binary probit model has been  used to analyze the socio-economic factors affecting milk consumption of households.  According to empirical results, consumers with higher education and income levels tend to  consume packed milk consumption. Also, milk price was affective factor packed and  unpacked milk consumption behavior. The majority of consumers reads the contents of  packed milk and is affected by safety food in their shopping preferences.  Keywords: Milk consumption, Consumer preferences, Binary probit model]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1143]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2272">
    <dcterms:title><![CDATA[Risk Tolerance and Investment Preferences in Bosnia and Herzegovina]]></dcterms:title>
    <dcterms:abstract><![CDATA[Risk tolerance is considered as an important factor in making financial decisions, saving and  investment choices. This paper has examined level of investment risk tolerance and  investment preferences of B&amp;H’s population and it had explored whether demographic and  socioeconomic factors to risk tolerance and investment preferences. Using a randomly chosen  sample of 200 individuals above the age of 20, empirical analysis has shown that above  independent variables that are significantly affecting individual’s risk tolerance are income  level, education level and gender. Regression analysis has proven that above average risk  tolerance is associated with higher income level and higher education level. Moreover,  analysis has supported the assumption that males are more risk tolerant then females.  Regarding the investment preferences, obtained results show that the out of eight independent  variables, only variable measuring whether an individual has a financial commitment is  significantly negatively related to the investment. Keywords: Risk tolerance, Risk aversion, Investment preferences, demographic and  socioeconomic factors, regression model, level of significance.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1327]]></dcterms:extent>
</rdf:Description></rdf:RDF>