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Malware detection: program run length against detection rate
Okane, Philip,Sezer, Sakir,McLaughlin, Kieran,Eul Gyu Im IET 2014 IET software Vol.8 No.1
<P>N-gram analysis is an approach that investigates the structure of a program using bytes, characters or text strings. This research uses dynamic analysis to investigate malware detection using a classification approach based on N-gram analysis. A key issue with dynamic analysis is the length of time a program has to be run to ensure a correct classification. The motivation for this research is to find the optimum subset of operational codes (opcodes) that make the best indicators of malware and to determine how long a program has to be monitored to ensure an accurate support vector machine (SVM) classification of benign and malicious software. The experiments within this study represent programs as opcode density histograms gained through dynamic analysis for different program run periods. A SVM is used as the program classifier to determine the ability of different program run lengths to correctly determine the presence of malicious software. The findings show that malware can be detected with different program run lengths using a small number of opcodes.</P>
Bivariate Long Term Fuzzy Time Series Forecasting of Dry Cargo Freight Rates
Okan DURU,에므라 블룻,요시다 시게루 한국해운물류학회 2010 The Asian journal of shipping and Logistics Vol.26 No.2
This paper proposes a bivariate long term fuzzy inference system for time series forecasting task in the eld of freight market. Fuzzy time series methods are applied by many scholars and it is broadly accepted pattern recognition and forecasting tool. Previous studies mainly establish algorithms for high requency time series data such as daily and monthly intervals. The proposed model performs similar techniques for long term annual base data and also extends the conventional method with multi-variate heuristic algorithm. Empirical work is accomplished on shipping freight rate data and life expectancy is used as a leading indicator in the bivariate fuzzy time series model.
Okan Önal,Gürkan Özden,Burak Felekog˘ lu 사단법인 한국계산역학회 2008 Computers and Concrete, An International Journal Vol.5 No.1
Digital image processing algorithms for the analysis and characterization of grains and voids in cemented materials were developed using toolbox functions of a mathematical software package. Utilization of grayscale, color and watershed segmentation algorithms and their performances were demonstrated on artificially prepared self-compacting concrete (SCC) samples. It has been found that color segmentation was more advantageous over the gray scale segmentation for the detection of voids whereas the latter method provided satisfying results for the aggregate grains due to the sharp contrast between their colors and the cohesive matrix. The watershed segmentation method, on the other hand, appeared to be very efficient while separating touching objects in digital images.
Stiffness modeling of RC columns reinforced with plain rebars
Okan Özcan 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.50 No.2
Inaccurate predictions of effective stiffness for reinforced concrete (RC) columns having plain (undeformed) longitudinal rebars may lead to unsafe performance assessment and strengthening of existing deficient frames. Currently utilized effective stiffness models cover RC columns reinforced with deformed longitudinal rebars. A database of 47 RC columns (33 columns had continuous rebars and the remaining had spliced reinforcement) that were longitudinally reinforced with plain rebars was compiled from literature. The existing effective stiffness equations were found to overestimate the effective stiffness of columns with plain rebars for all levels of axial loads. A new approach that considers the contributions of flexure, shear and bond slip to column deflections prior to yielding was proposed. The new effective stiffness formulations were simplified without loss of generality for columns with and without lap-spliced plain rebars. In addition, the existing stiffness models for the columns with deformed rebars were improved while taking poor bond characteristics of plain rebars into account.
Okan Ekinci,Yakup Albayrak,Aslı Erkan Ekinci 대한신경정신의학회 2012 PSYCHIATRY INVESTIGATION Vol.9 No.2
Objective The purpose of this study was to examine personality traits of patients with major depressive disorder and explore the possible connections between personality and clinical and sociodemographic variables. Methods The sociodemographic and clinical properties of 80 patients with major depression, who were euthymic according to Hamilton Depression Scale scores, were recorded. Their personality was evaluated by using Temperament and Character Inventory and results were compared with 80 age- and sex-matched healthy controls. We used general linear model analysis to evaluate the manner in which the variables contributed to TCI scores. ResultsaaRemitted depressive patients scored significantly lower on on self-directedness and higher on harm avoidance than HC. Previous suicide attempts had a main effect only on harm avoidance while previous psychotic mood episodes were significantly associated with novelty seeking, self-directedness and cooperativeness. With respect to numeric clinical variables, only duration of illness was significantly and negatively correlated with NS and RD scores. ConclusionaaPatients with euthymic major depressive disorder may have significantly different personality traits than the normal population, and patients with different clinical and sociodemographic characteristics may show different personality patterns. In addition, assessment of major depressed patients by means of the Temperament and Character Inventory may be helpful to get a deeper insight into those personality traits underlying suicidality and the emergence of psychotic mood episode. Objective The purpose of this study was to examine personality traits of patients with major depressive disorder and explore the possible connections between personality and clinical and sociodemographic variables. Methods The sociodemographic and clinical properties of 80 patients with major depression, who were euthymic according to Hamilton Depression Scale scores, were recorded. Their personality was evaluated by using Temperament and Character Inventory and results were compared with 80 age- and sex-matched healthy controls. We used general linear model analysis to evaluate the manner in which the variables contributed to TCI scores. ResultsaaRemitted depressive patients scored significantly lower on on self-directedness and higher on harm avoidance than HC. Previous suicide attempts had a main effect only on harm avoidance while previous psychotic mood episodes were significantly associated with novelty seeking, self-directedness and cooperativeness. With respect to numeric clinical variables, only duration of illness was significantly and negatively correlated with NS and RD scores. ConclusionaaPatients with euthymic major depressive disorder may have significantly different personality traits than the normal population, and patients with different clinical and sociodemographic characteristics may show different personality patterns. In addition, assessment of major depressed patients by means of the Temperament and Character Inventory may be helpful to get a deeper insight into those personality traits underlying suicidality and the emergence of psychotic mood episode.
Okan DURU 국제이네비해양경제학회 2014 International Journal of e-Navigation and Maritime Vol.1 No.1
This paper investigates maritime policies from the perspective of behavioural law and economics by questioning the role of political instruments, levels of development, groupthink bias, moral hazards and practical examples. Through the emergence of deregulation and procedural simplification, the reasons behind overregulation need to be revisited. The future of maritime governance is expected to hollow out several functions for alternative institutions and keep the governance simple for performing other roles such as advisory services, mainstreaming, amongst others. Therefore, the concept of maritime governance without a government can be thought as a driving force for the future. Based on the deregulation and the hollow-out framework, maritime governance (particularly in developing and developed countries) should focus on the softpower of maritime administration and the role of expert power; as well as referent power to mainstream the maritime industry.