U.Z. Sanal’s research while affiliated with Havelsan and other places

This paper presents a logical sensor to be used in the intelligent perception for the motion planning of a mechanical snake searching for rescue in an unstructured environment of collapsed buildings after a natural disaster. The multi-link robot is equipped with ultrasound sensors and a thermal sensor, which detects body heat and isolates any survivor. In this study, the objective is to develop a logical sensing and an intelligent perception model that learns to identify the most suitable zone for control by minimizing the control unpredictability due to uncertainty. This model is based on a radial basis function network trained with dynamic decay adjustment algorithm that classifies the control region into positive regions. Uncertainty irregularities in the control region is modeled using the statistical rough set theory based on beliefs assigned to control cells in a cellular space. Logical sensors are then fused together to construct a wide-angle logical sensor unit in the control zone. Simulation results are given, in order to illustrate the efficiency of the approach developed for an unstructured environment.

In this study, a fuzzy project scheduling decision support system applied to a real world software development project is presented. The purpose of the project scheduling system is to allocate resources (engineers with different skill and experience levels) to activities with different complexity levels and uncertain durations. The activities are nonpreemptive in nature and there are no strict precedence relationships between them. The activity durations are modeled by fuzzy numbers as a function of the skill level of the resource allocated to that activity and the complexity level of the activity. Skill and complexity levels are also represented by fuzzy numbers. The objective of the scheduling of activities is the minimization of the project completion time. In scheduling three heuristic scheduling rules are utilized. These scheduling rules are presented with their applications on sample problems derived from a particular software development project. The decision support system carries the task of organizing the input data entry for scheduling the generation of the schedule, and the presentation of the results to the user

In this study the advantages and disadvantages of rehosting will be presented based on a real world project the critical points of a project, mainly depending on rehosting of large number of test program sets (TPS) on various automated test equipments (ATE) are covered. To name few of the topics to be presented in this study, quality of unit under test (UUT) data; quality of the former TPS to be rehosted; technology of the TPS (digital, analog, hybrid, etc.); ATEs; Software (SW) development environment, SW tools and translators; interface test adapters (ITA); contractual requirements; mating connectors, test connectors and fixtures; evaluation of a TPS to be rehosted. This study covers all the processes ranging from the inspection of the available data to the estimation of the rehosting duration and cost