<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/634">
    <dcterms:title><![CDATA[COMPARISON OF CODON USAGE IN MITOCHONDRIAL GENOMES OF  RHINOLOPHID AND HIPPOSIDERID BATS]]></dcterms:title>
    <dcterms:abstract><![CDATA[According to current phylogenetic hypotheses, the bats of the families Rhinolophidae and  Hipposideridae are sister groups nested within the clade of Pteropodiformes. The  Hipposideridae are family of bats commonly known as the Old World leaf-nose bats. While  this family has long been considered as a rhinolophid subfamily Hipposiderinae, it is now  more generally classified as its own family. The Hipposideridae contain 10 living genera and  more than 70 species, mostly in the widespread genus Hipposideros. This study is an attempt  to confirm a distinction between these two families by a codon usage comparison of a  complete set of mitochondrial protein-coding genes from currently available mitochondrial  (mt) genomes of rhinolophid and hiposiderid bats. The INCA 2.1 and GCUA 2.0 were used  for the codon usage computing. Measure Independent of Length and Composition (MILC),  was used to estimate the codon usage of 13 mt protein-coding genes from five species of  genus Rhinolophus and one species of Hipposideros (while only four genes were available  from H. larvatus). Large randomly generated sequence sets were used to test for dependence  on (i) sequence length, (ii) overall amount of codon bias and (iii) codon bias discrepancy in  the sequences. Our findings suggest no significant differences in codon usage bias, among  analyzed rhinolophid species, by statistical estimation of absolute frequency values despite  the changed MILC values for nd1 and nd3 from Hipposideros armiger.  Keywords: MILC, MELP, bats, codon usage, codon frequencies]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:date><![CDATA[2014-05-15]]></dcterms:date>
    <dcterms:extent><![CDATA[2451]]></dcterms:extent>
    <dcterms:identifier><![CDATA[ISSN 978-9958-834-36-3     ]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3113">
    <dcterms:title><![CDATA[Comparison of Decision Tree Methods for Intrusion Detection]]></dcterms:title>
    <dcterms:abstract><![CDATA[The popularity of using Internet contains some risks of network attacks,  and attack methods differ each day, thus information security problem has become a  significant issue all over the world. Intrusion detection is one major research  problem in network security, whose aim is to identify unusual access or attacks to  secure internal networks. At the moment, it is an urgent need to detect, identify and  prevent such attacks effectively. In this work, we compared efficiency of decision  tree methods in intrusion detection system. We compared the accuracy, detection  rate, false alarm rate for different attack types.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2010-06]]></dcterms:date>
    <dcterms:extent><![CDATA[535]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/1283">
    <dcterms:title><![CDATA[COMPARISON OF ELECTROMAGNETIC RADIATION LIMITS FOR EXTREMELY LOW FREQUENCIES IN EUROPEAN COUNTRIES]]></dcterms:title>
    <dcterms:abstract><![CDATA[Keywords:Electromagnetic Radiation (EMR); Electromagnetic Pollution; Extremely Low Frequency (ELF); Exposure Limits; Magnetic Field; High Power Lines.  ABSTRACT  Almost every member of modern societies constantly live in electromagnetic fields (EMF) which are much higher than those found in nature. Power lines, computer monitors, different electrical equipments, radio, television, mobile phones, microwave ovens can be given examples of these EMF sources. Their potential effects of health continue to be the subject of controversy. Extremely low frequency (ELF, 0-3000 Hz) region of spectrum is radiated by transformers, household equipments, high power lines, and by electrical goods is investigated in this study. Since more than 25 years research efforts to find a correlation between the electromagnetic field and their effects on health of human are going on, but without significant success. Generally, countries accept the standarts of International Commission on Non-Ionizing Radiation Protection (ICNIRP), World Health Organization (WHO), and European Committee for Electrotechnical Standardization (CENELEC). Some countries apply more strict limit values than above foundations. The International Agency for Research on Cancer (IARC) reviewed EMFs and cancer in June 2001, and classified magnetic fields as “possibly” carcinogenic for low frequency region. Therefore, exposure limit values of EMFs are really important. The best way is acceptance of As Low As Reasonably Achievable (ALARA) principle as long as have not exact scientific results.]]></dcterms:abstract>
    <dcterms:publisher><![CDATA[International Burch University]]></dcterms:publisher>
    <dcterms:date><![CDATA[2013-05-24]]></dcterms:date>
    <dcterms:extent><![CDATA[2131]]></dcterms:extent>
    <dcterms:identifier><![CDATA[ISSN 2233-1565     ]]></dcterms:identifier>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3086">
    <dcterms:title><![CDATA[Comparison of Eleven Mathematical Models for describing the first  Lactation Curve of Holstein Cattle in Turkey]]></dcterms:title>
    <dcterms:abstract><![CDATA[In this study, eleven standard lactation curve models (Incomplete Gamma (WD),  Quadratic (Q), Cubic (C), Linear Hyperbolic Function (LH), Inverse Polynomial Function  (IP), Mixed Log (MIL), Exponential (WIL), Dhanoa (DH), Cobby and Le Du (CD),  Polynomial Regression (AS) and New Model (NM)) were used to predict a typical dairy cow  lactation derived as the average daily milk yield of 105 complete first lactations of Holstein-  Friesian cows in one herd. Milk yield controls were made daily in this farm. Total milk yield  (TMY) was calculated from observation of daily milk yield. TMY was also predicted by using  11 different models. The total milk yields predicted by the models were very close to each  other and the differences between observation of TMY were not found statistically significant  (P&gt;0.05). The models were found to be adequate for estimation of milk yield.  Determination coefficients (R2) of the models ranged from 67.15 % to 86.68 %. In  comparison of the models, the TMY, peak yield (PY), peak time (PT), persistency (P), mean  square prediction error (MSPE), approximation error ( ε ), reliability criterion for estimating  trustworthiness of the determination coefficient (σ ), standard error ( θ ) and Durbin-Watson  (DW) values were evaluated together.  Using the AS, WD and new developed NM models accurately predicted the milk  yield of Holstein cows.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2010-06]]></dcterms:date>
    <dcterms:extent><![CDATA[435]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3003">
    <dcterms:title><![CDATA[Comparison of Islamic, Traditional and Alternative Utility Theories]]></dcterms:title>
    <dcterms:abstract><![CDATA[Decision making under uncertainty is always trying to be explained by utility  theory. And utility theory‘s roots rely on moral philosophy. Moral philosophy is  concerning concepts about good and bad, right and wrong, virtue, justice, etc. It can be say  that utilitarianism, which is a field of moral philosophy, is more directly about utility  theory. Throughout the human history, from Prophet Abraham to Greek philosophers;  Socrates, Aristotle, Epicurus, to Islam scholars al Kindi, al-Farabi, al-Razi, Ibn-i Sina, Ibni  Rushd, Ibn-i Haldun, all discussed about ethics and utility concept.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2010-06]]></dcterms:date>
    <dcterms:extent><![CDATA[252]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2318">
    <dcterms:title><![CDATA[Comparison of linear regression and neural network models forecasting tourist arrivals  to Turkey]]></dcterms:title>
    <dcterms:abstract><![CDATA[This paper develops statistical and machine learning methods for estimating tourist arrivals  which is one of the donnée for planning the sustainable tourism development. Tourism is  arguably one of the world&#039;s largest and fastest growing industries. Sustainable tourism development is one of the most promising generators of the sustainable economic  development. Realistic tourism projections based on accurate tourism forecasting contribute  much for the sustainable tourism development. The challenge of the planning and developing  sustainable tourism is to see as the complex paradigm but one of the starting points is the  accurate forecasting tourist arrivals. In this study, linear regression and neural network  multilayer perceptron (MLP) implementations are considered to make multivariate tourism  forecasting for Turkey. Comparison of forecasting performances in terms of correlation  coefficient (R), relative absolute error (RAE) and root relative squared error (RRSE)  measurements shows that MLP model for regression gives a better performance.  Keywords: Tourism forecasting; Tourism demand modelling; Time series; Linear regression;  Neural networks; Multilayer perceptron; Multivariate tourism forecasting.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1179]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/2217">
    <dcterms:title><![CDATA[Comparison of Machine Learning Algorithms in Recognation of Regulatory Region of  DNA]]></dcterms:title>
    <dcterms:abstract><![CDATA[Keywords: Data mining, machine learning, supervised learning, classification, rule-based  algorithms.  Abstract  Data mining has become an important and active area of research because of theoretical  challenges and practical applications associated with the problem of discovering interesting  and previously unknown knowledge from very large real world database. These databases  contain potential gold mine of valuable information, but it is beyond human ability to analyze  massive amount of data and elicit meaningful patterns by using conventional techniques. In  this study, DNA sequence was analyzed to locate promoter which is a regulatory region of  DNA located upstream of a gene, providing a control point for regulated gene transcription.  In this study, some supervised learning algorithms such as artificial neural network (ANN),  RULES-3 and newly developed keREM-IREM rule induction algorithms were used to  analyse to DNA sequence. In the experiments different option of keREM, RULES-3 and  ANN were used, and according to the empirical comparisons, the algorithms appeared to be  comparable to well-known algorithms in terms of the accuracy of the extracted rule in  classifying unseen data.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2012-05-31]]></dcterms:date>
    <dcterms:extent><![CDATA[1211]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/247">
    <dcterms:title><![CDATA[COMPARISON OF MACHINE LEARNING TECHNIQUES  IN PHISHING WEBSITE CLASSIFICATION]]></dcterms:title>
    <dcterms:abstract><![CDATA[Abstract: Phishing is one among the luring strategies utilized by phishing artist in  the aim of abusing the personal details of unsuspected clients. Phishing website  is a counterfeit website with similar appearance, but changed destination. The  unsuspected client post their information thinking that these websites originate from  trusted financial institutions. New antiphishing techniques rise continuously, yet  phishers come with new strategy by breaking all the antiphishing mechanisms.  Hence there is a need for productive mechanism for the prediction of phishing  website. This paper described comparison in classification of phishing websites using  different Machinelearning  algorithms. Random Forest (RF), C4.5, REP Tree, Decision  Stump, Hoeffding Tree, Rotation Forest and MLP were used to determine which  method provides the best results in phishing websites classification. All instances are  categorized as 1 for “Legitimate”, 0 for “Suspicious” and 1  for “Phishy”. Results show  that RF with REP Tree show the best performance on this dataset for classification of  phishing websites.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2016]]></dcterms:date>
    <dcterms:extent><![CDATA[3308]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/1200">
    <dcterms:title><![CDATA[COMPARISON OF MEDIEVAL AND MODERN  METAPHORICAL CONCEPTS]]></dcterms:title>
    <dcterms:abstract><![CDATA[This article aims to study emotion metaphors found in selected Chaucer’s Canterbury Tales and  compare them with conventional modern metaphors from current dictionaries and other sources, in order  to find out whether medieval emotional metaphorical concepts have survived up to the present-day, and if  yes, what changes can be perceived in them. The study is based on the cognitive theory of metaphor, as  developed by Lakoff and Johnson in “Metaphors We Live By”.]]></dcterms:abstract>
    <dcterms:date><![CDATA[2014]]></dcterms:date>
    <dcterms:extent><![CDATA[3464]]></dcterms:extent>
</rdf:Description><rdf:Description rdf:about="https://omeka.ibu.edu.ba/items/show/3608">
    <dcterms:title><![CDATA[Comparison of Performanse and Security Aspects of Database Access via Stored Procedures and APIs]]></dcterms:title>
    <dcterms:abstract><![CDATA[Modern applications typically get the information in one of two modalities, namely API as an intermediary layer or stored procedures in the same database. The aim of this study is to contrast these methods, mainly performance-wise, and then securitywise, as well as suitability for maintenance as well as scalability. The project will implement identical stored procedures in the PostgreSQL database, and a API backend in Python. Execution time for a query, resource consumption as well as susceptibility to security flaws will be evaluated. The plan is to perform 10 runs for each comparison so as to ensure the obtained results are as accurate as well as dependable as possible. And one of the aims is to devise practical recommendations as to when to apply a stored procedure, and when the API method, where a boundary (equilibrium) has to be drawn between the logic of intermixing in the same data as well as the logic in the app layer.<br />
Today with applications being used in distributed environments on a widespread basis, awareness of them is most important in ensuring smooth and effective development of information systems, particularly in those fields where a lot of information has to be processed, such as e-business, banks etc.]]></dcterms:abstract>
</rdf:Description></rdf:RDF>
