Energy planning has become important in developing countries and growing economies. The balance between energy production and consumption is based on good planning. The basis of the planning lies in high accuracy estimation, where time series techniques are often used. The Holt-Winters exponential smoothing method, which is one of the time series techniques and includes seasonality, was used in this study. In the study, genetic algorithm method was used to determine the parameters in Holt-Winters exponential smoothing (HWES) method and electrical load forecasts were made by using these parameters. Mean absolute deviation (MAD) was used as the optimization target function in parameter determination. The parameters determined by genetic algorithm were generated with 200 monthly data on a monthly basis and 12 month load values were used in the estimation. MAPE, MAD and MPE errors were shown in the study and the proposed approach was found to be suitable for the estimation of electrical load.

Nowadays, applications of unmanned vehicles are increasing rapidly. Unmanned vehicles are used in many areas such as agriculture, transportation and especially military defense systems. In this study; control of the movement direction of a 4-wheeled unmanned land vehicle is studied with fuzzy logic. In our study, the Cbased software language was used in the Arduino IDE program. As the input information for the control operation with fuzzy logic, the error value of the movement direction and the previous error value are used. The speed of the motors on the unmanned vehicle is used as the output information. Membership functions for input and output information are created using the triangle membership function. After determination of fuzzy rules, Max-Min method was used to obtain fuzzy inference. As the last step of these processes, the defuzzyfication process weight average method is used. The information obtained by the weight average method is the engine speed information that must be transmitted to the motors used in the vehicle. The engines are applied at this speed and the angle at which the vehicle is to be positioned according to the north point.

Congenital or acquired lesions leading to a large loss of intestinal mass leads to the formation of short bowel syndrome. The occurrence of bowel incompetence is also mostly due to short bowel syndrome. Intestinal length knowledge is needed in bowel diseases that are shortened by various causes such as bowel insufficiency. o date, there are few studies on the calculation of small bowel length in the literature based on computed tomography (CT) images. In this paper, a methodology is proposed to calculate the length of small intestinal phantoms by using CT images. First, pre-processing is carried out by applying morphological processes to the CT image. Center points of the CT image, converted into binary using thresholding methods, are determined by using the region growing method. By writing the equation created in the second-order of the center points, the correct ordering of the center points is obtained by finding the errors in each cycle and ordering the minimum ones. Thus, by calculating and summing the distances between the center points, the length of the small intestinal phantom is found. Three small intestinal phantoms are utilized for validating the proposed methodology.

Electric vehicles are increasing their place in the market with each passing day. The widespread use of this technology accelerates the development of sub-equipment in electric vehicles. Intensive studies are carried out for the develop-ment of many sub-equipment. One of the most important of these is the charging systems of electric vehicles. While electric vehicles are developing, charging systems are also developing rapidly in parallel. In this article, an integrated and isolated unidirectional lithium-ion battery charger design aspects has been im-plemented for a small-scale electric vehicle in three steps such as simulation, prototype and final product. As a result of the study, the prototype and final products are succeed on a 500 W DC load and the design aspects are demonstrat-ed.

Dielectric Elastomer Actuator (DEA) consists of a thin dielectric elastomer membrane sandwiched between two electrode layers. When low current high voltage is applied to the two conductive layers, opposite loads occur on the surface which tends to pull one another. This voltage application causes thinning in width and expansion in surface area. DEAs are the favorite subject of research due to their low-cost advantages, fast response, high energy density, wide deformation, and softness. Due to the rigidity of the electric motors and the metal components of the robot, soft-acting robots using DEA are preferred to perform complex tasks instead of conventional robots. Robots with DEA have higher flexibility and better adaptability. Therefore, soft robots are popular topic in robotics research. DEAs are the best candidate materials for next-generation soft robot actuators and artificial muscles. In this study, simulation of the robotic systems has been realized by using DEAs calculation methods. Simulation results were compared with the data obtained from the application. This study will be the source of future studies on the subject. In the simulation, Matlab 2016 student and Labview Home and Students programs were used.