Ecir Uğur Küçüksille

Backcalculation of pavement layer moduli and Poisson's ratio using data mining

Pavement deflection data are often used to evaluate a pavements structural condition non-destructively. Pavement layers are characterized by their elastic moduli estimated from surface deflections through backcalculation. Using backcalculation analysis, flexible pavement layer in situ material properties can be backcalculated from the measured field data through appropriate analysis techniques. This study focuses on the use of data mining (DM)-based pavement backcalculation tools for determining the in situ elastic moduli and Poissons ratio of asphalt pavement from synthetically derived Falling Weight Deflectometer (FWD) deflections at seven equidistant points. In estimation of the elastic modulus and Poissons ratio, data mining (DM) method has not been used as a backcalculation tool before. Experimental deflection data groups from NDT are used to show the capability of the DM approaches in backcalculating the pavement layer thickness and compared each other. By looking at the results of the study, Kstar method gives fine results with respect to other DM methods. Backcalculation of pavement layer elastic modulus and Poissons ratio with DM has been carried out for the first time.

The prediction of the electric field level in the reverberation chamber depending on position of stirrer

This study presents nine modeling techniques within data mining process for the prediction of electric field level which depends on the positions of stirrer in the mode stirred reverberation chamber. These are Linear Regression (LR), Multi Layer Perceptron (MLP), Pace Regression (PR), KStar, Regression by discretization (RD), Random SubSpace (RS), M5P, RepTree and Decision Table models. Relations depending on frequency and position of stirrer have been carried out for the determination of electric field in the reverberation chamber. Obtained model results for each stirrer steps have been compared and the best model has been investigated. Results indicate that the use of derived formulation from these techniques will facilitate design and optimize of location of maxima (mode) and minima (null) of electric field in the reverberation chamber which a component of especially mode stirrer reverberation chamber test method.

Developing a penetration test methodology in ensuring router security and testing it in a virtual laboratory

In todays world of informatics, penetration tests becoming one of the most important factors in ensuring corporate information security. Penetration test methodologies provided to this day for ensuring information security have mostly concentrated on network components such as servers and firewalls. The fact that there has not been sufficient focus on router security in the penetration tests that have been conducted leads to major problems in ensuring corporate information security. This study presents a router penetration test methodology consisting of three steps to ensure full range router security. The effectiveness of the methodology presented was analyzed in a virtual penetration test laboratory, for which the design is provided in this study. Following the test trials, it was observed that the presented test methodology enables the common security vulnerabilities occurring on routers to be controlled in order.

Backcalculation of pavement layer thickness using data mining

Pavement deflection data are often used to evaluate a pavement’s structural condition nondestructively. Pavement layers are important parameters in view of bearing capacity. Pavement layer thickness may be known from the design project or site investigation. At the same time, using backcalculation analysis, flexible pavement layer thicknesses together with in situ material properties can also be backcalculated from the measured field data through appropriate analysis techniques. Data mining (DM) process has not been used as a backcalculation tool before. In this study, DM process is used in backcalculating the pavement layer thickness from deflections measured on the surface of the flexible pavements. Experimental deflection data groups from NDT are used to show the capability of the DM process in backcalculating the pavement layer thickness and compared each other. Performing the study, modeling with Kstar method gives fine results with respect to other DM modeling techniques. Backcalculation of pavement layer thickness using DM process has been carried out for the first time.

Physical Dangers in the Cyber Security and Precautions to be Taken

The capabilities of protective software such as Antivirus, Firewall, Anti-Malware and Anti-Spyware are increasing day by day in terms of detection and termination of the malwares. Therefore, the use of physical hack tools in cyber-attacks is becoming increasingly common due to their low costs and being readily available. In this study, the main hardware tools used by the cyber attackers to exploit the systems, analyzed deeply. The hardware specifications of these tools, the targeted systems and the types of the attacks are also investigated. Besides, an attack scenario is designed, in which programmable USB devices, commonly used by the hackers, are implemented on the virtual computers. Therefore, an attack attempt which in used programmable USB device, is investigated. The proposed study presents the security measures to be taken against programmable USB device and other hardware security tools.