In this study, an alternative topology to multilevel inverter topologies is given. 6 IGBT seminconductor switches are used in this topology and coupled inductors are used in the output stage of the inverter. Using coupled inductors voltages, the 6 switched 3-level inverter has been obtained. In the simulation study, Proportional Integral (PI) controller has been used. By using the data taken from controller, the required switching signals have been produced for a 6 switched 3-level inverter. These signals have been taken by using space vector pulse width modulation technique. Using Computer Aided Design (CAD) analysis a RL load that have 10 Ω and 0.2 H values is simulated and inverter performance has been investigated.

In this study, a Global Positioning System (GPS) assistance based system has been developed for unmanned ground vehicles (UGV) to detect moving objects along their route using a computer vision system. Before the real time application of the UGV, image models were created that represents a default background in specified horizontal positions of the specified coordinates on the route. This model is a type of feature matrix which is much smaller than the pure image matrices. The model matrices were recorded in the system database and a database relation was created between the model and its coordinate. The feature matrices of the images captured when the moment UGV arrived to the determined coordinates are compared with the models belong to present coordinate. As a result of the evaluation image frames are aligned with 2D image registration methods. The silhouettes of the objects are obtained by subtracting aligned frames. Thus, using this developed approach, there is no need for costly solutions to compensate for the noise generated by the moving camera. It was observed from the experiments that the system was able to detect the objects with 90% accuracy and it was able to run with 8% CPU loading and 0.057 s processing time per frame.

In electrical grid; when the demand power increases energy prices increase, when the demand decreases energy prices decrease. For this reason; to increase the total daily income, it is required to shift generations to the hours that high demand power values occurred. Wind Power Plants (WPP) have unstable and uncontrollable generation characteristic. For this reason, energy storage systems are needed to shift the generations of WPPs in time scale. In this study, four wind power plants (WPP) which are tied to the Turkish interconnected grid and a pumped hydro storage power plant (PSPP) that meets the energy storage requirement of these power plants are investigated in Turkey day ahead energy market. An optimization algorithm is developed using linear programming technique to maximize the day ahead market bids of these plants which are going to generate power together. When incomes and generations of the plants that are operated with optimization strategy is analyzed, it is seen that annual income increased by 2.737% compared with WPPs ‘s alone operation and generations are substantially shifted to the high demand power occurred hours.

Health domain is a complex and distributed research area, where different institutions and people take and provide service, at the same time. Therefore, the health data about a patient is completely distributed among doctors, clinics, hospitals, pharmacies and insurance companies. To share and reuse the distributed, well-structured and semantically rich clinical data with the appropriate permissions from anywhere is one of the major areas that the research of information systems focused in healthcare domain in recent years. The semantic web provides a technological infrastructure with representing the meaning of data and reasoning new information from the existing knowledge for the healthcare domain. The blood, as the life fluid, gives hints to the clinicians about a patient's general health status by analyzing the ingredients in. The results of blood tests contain lots of information that can be used by different clinics. In the diagnostic phase, analyzing the blood for the same tests repeatedly delays to start the treatment process and increases the cost. The Blood Test Ontology is developed to model the blood tests semantically that is done in the health field and also to define information related with the blood and the blood tests as well as the relationships between them. The ontology in this work is developed with the aim to be used in the health information system, which should provide the querying, sharing and reusing the personalized the blood test result of the patients, as a knowledge base. The Blood Test Ontology is supported by the medical information standards to be able to interoperable with the other medical ontologies that are developed in the health.

The aim of this study is to detect transportation modes of the users by using smartphone sensors. Therefore, GPS (Global Positioning System), accelerometer and gyroscope sensor data have been collected while walking, running, cycling and travelling by bus or by car from the smartphone of the user. Sensor data were tagged with 12 second interval and 2500 pattern were obtained. 14 features were acquired from the dataset. Machine learning methods were tested on the dataset. Best result was obtained from GPS, accelerometer and gyroscope sensor combination and Random Forest method with 99.4% accuracy rate.

This study aimed to understand software developers’ awareness and level of knowledge about user experience and usability. The study also examined software developers’ opinions regarding integrating usability activities into software development processes. Fifty-nine software developers participated to the study. In the first part of the study, data were collected through questionnaire. In the second part of the study, in-depth interviews were conducted with a group of volunteer participants and detailed information was obtained about the topic. Results of the study revealed that majority of the software developers did not have any training related to user experience, usability or human-computer interaction. The majority of the participants consider themselves as the least experienced and uninformed members of a software development project about user experience and usability. The results also revealed that software developers in the study have incomplete and misinformation about user experience and usability.

In this paper we are interested to multi-agent foraging, where a team of agents search environment until they find some interested objects and return to nest. Apart from existing models for foraging, we consider a multi-agent system that the agents are restricted with fuel consumption. Additionally, interested objects in environments are in motion all the time. Then, the foraging problem is constrained with complex conditions of agents’ and the environment’s requirements. A Contract-Net model is proposed to solve this foraging considering all the constraints related with fuel consumption as well as dynamic environment conditions. Contract-Net is a well-known negotiation protocol where each agent (or node in the agents net) can be in role of a manager or contractor. Efficiency of the proposed model is investigated by some simulation experiments.