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WOS: 000459131600013, It may be necessary to determine the identity or gender of a person for any reason (disasters, inheritance etc.). In such cases, forensic medical institutions are asked for help. Forensic science institutions try to estimate the age of people's teeth and bones. In this study, a novel algorithm was developed to keep these predictions at the highest level and to obtain definite results. The data base of 162 different tooth classes is created manually. All image sizes are 150x150 pixels. First, image preprocessing techniques have been applied to teeth images. These preprocessing techniques were first applied to teeth images. After this process, the segmentation process of the teeth images was performed to extract the feature by novel segmentation algorithm. Segmentation can be done automatically and dynamically. Numerical data obtained as a result of feature extraction from dental images is presented as an inputs to Multi layer perceptron neural network. In application, feature reduction can be performed. Thanks to the originally developed algorithm, the highest success rates were obtained with the highest 99.9% (full segment) and 100% (notfull segment) classification. After classification, for many dental groups the age estimate is performed with zero error. Application was developed as a multidisciplinary study. (C) 2019 Elsevier Ltd. All rights reserved., Selcuk University Scientific Research Projects Coordinatorship/Konya, Turkey, This work is supported by the Selcuk University Scientific Research Projects Coordinatorship/Konya, Turkey.

WOS: 000460130500016, Age determination process is very important in legal medicine and forensic sciences. After a massive disaster or a legal situation, identification may be required. Age determination process is requested from the forensic medicine institute for live or dead body. In such cases, age determination process must be done correctly. In this study, a database was created with a total of 1313 panoramic dental images to determine age and gender. The images in this database are stored in different 6 folders (M1, M2, M3, M4, M5, M6) by preprocessing with image processing techniques. The calculation of the morphological properties of teeth in this folder (height, area, perimeter, similarity, center of gravity, radius of teeth) are stored separately in XML files (XML1, XML2, XML3, XML4, XML5, XML6). In order to obtain better results in determining age and gender, a novel and originally developed algorithm has been applied to the trapezoidal images in the database. Morphological measurement comparisons were made by testing the teeth with height, area, perimeter, radius, similarity ratio, center of gravity information separately. Thanks to the new and originally developed algorithms, the age determination process was performed with an error of +-1 years in general. In addition to the age determination process, gender determination was also performed. In this study, a multi-disciplinary study was performed to determine the age and gender from dental x-ray images., Selcuk University Scientific Research Projects Coordinatorship/Konya, Turkey, This work is supported by the Selcuk University Scientific Research Projects Coordinatorship/Konya, Turkey.

WOS: 000443296000011, As a result of some events (disasters, inheritance, disappearances etc.), age and gender determination can be vital for people. Forensic medical institutions make the determination of age by examining the structures such as teeth and bones. Procedures for forensic science are currently estimated manually according to certain morphological findings on the tooth. In this study, 1313 panoramic dental images were used automatically to estimate age. Image preprocessing is applied on these images. Trapezoidal teeth are corrected in the coordinate plane to obtain more accurate and standard results. In the study, the correction process is done with original and novel developed algorithm. Dental images are automatically and dynamically segmented and feature vectors are created by extracting their features. The generated feature vectors are dynamic and presented as inputs to the Multilayer Perceptron Neural Network. Depending on the request, the number of input count reduction process can be performed. In this study, age and gender were determined from dental x-ray images with novel and originally developed algorithm. The application is written in C # programming language. In some tooth groups, the highest classification rate of 100% and age determination with 0 error were performed. With this study, age determination in forensic science will be more accurate. (C) 2018 Elsevier B.V. All rights reserved., Selcuk University Scientific Research Projects Coordinatorship /Konya, Turkey, This work is supported by the Selcuk University Scientific Research Projects Coordinatorship /Konya, Turkey.

WOS: 000425897400011, PubMed: 29477419, Background and objectives: A Medical Expert System (MES) was developed which uses Reduced Rule Base to diagnose cancer risk according to the symptoms in an individual. A total of 13 symptoms were used. With the new MES, the reduced rules are controlled instead of all possibilities (2(13) = 8192 different possibilities occur). By controlling reduced rules, results are found more quickly. The method of two-level simplification of Boolean functions was used to obtain Reduced Rule Base. Thanks to the developed application with the number of dynamic inputs and outputs on different platforms, anyone can easily test their own cancer easily. Methods: More accurate results were obtained considering all the possibilities related to cancer. Thirteen different risk factors were determined to determine the type of cancer. The truth table produced in our study has 13 inputs and 4 outputs. The Boolean Function Minimization method is used to obtain less situations by simplifying logical functions. Diagnosis of cancer quickly thanks to control of the simplified 4 output functions. Results: Diagnosis made with the 4 output values obtained using Reduced Rule Base was found to be quicker than diagnosis made by screening all 2(13) = 8192 possibilities. With the improved MES, more probabilities were added to the process and more accurate diagnostic results were obtained. As a result of the simplification process in breast and renal cancer diagnosis 100% diagnosis speed gain, in cervical cancer and lung cancer diagnosis rate gain of 99% was obtained. Conclusions: With Boolean function minimization, less number of rules is evaluated instead of evaluating a large number of rules. Reducing the number of rules allows the designed system to work more efficiently and to save time, and facilitates to transfer the rules to the designed Expert systems. Interfaces were developed in different software platforms to enable users to test the accuracy of the application. Any one is able to diagnose the cancer itself using determinative risk factors. Thereby likely to beat the cancer with early diagnosis. (C) 2018 Elsevier B.V. All rights reserved., Coordinatorship of Selcuk University's Scientific Research Projects, This work is supported by the Coordinatorship of Selcuk University's Scientific Research Projects.

WOS: 000417721100022, Nowadays, the usage rates of smartphones are increasing rapidly. With the versatility of its features, smartphones have succeeded in attracting users. Performing this study has also affected the usage rate of smartphones every day. It is possible to determine the position with GPS (Global Positioning System) technology which is located in smartphones. In this study, smartphone location notification was used to detect the locations of the people who were under debris after the earthquake by means of the phones on them. People who cannot be reached for any reason will be immediately identified, and emergency interventions will be possible. Thus, the survival rate of the injured will be high with early intervention. In this study, it was aimed to minimize the loss of life after the earthquake and all the negativities that would be experienced in society due to this loss. The developed application has been tested in the external world, and the obtained data are given in results section., Selcuk University Scientific Research Projects Coordinatorship /Konya, Turkey, This work is supported by the Selcuk University Scientific Research Projects Coordinatorship /Konya, Turkey.

7th International Conference on Interdisciplinarity in Engineering (INTER-ENG) -- OCT 10-11, 2013 -- Tarqu Mures, ROMANIA, WOS: 000335391100104, Electricity generation and having energy resources are one of the most important issue for societies from past to these days. Fossil fuels that providing three quarters of world's basic energy needs cause global warming with greenhouse gases becomes progressively smaller as well. Energy consumption is constantly increasing in parallel with population growth in the world, urbanization, industrialization and expansion of technology. While fossil fuels are quickly running out, energy demand is increasing rapidly. It is assumed that Petroleum is getting run out 2050 years. Natural gas and coal will have reserve until 2050 and 2150. In addition, the uses of fossil fuels have many negative effects to our environment. Cities are covered with black exhalations and sometimes it is hard to breathe because of air pollution. The Ozone layer has pierced and has became unable to fulfill the task of filtering. We have started to feel the effects of global warming strongly with each passing day. In such an environment, electricity generation with solar energy is becoming really important which is an endless source of clean energy. However, Dwellings to fulfill their own electricity need contribute significantly to environmental pollution and energy production. In this study, meeting a dwelling's energy need with clean energy that is one of the future energy generation methods has been examined. A system which generates electricity from solar energy was designed for this purpose. In this study we want to show the applicability of solar energy system at houses and make a practice about cost and productivity analyses. (C) 2013 The Authors. Published by Elsevier Ltd., Petru Maior Univ Tirgu Mures, Coordinayor ship of Selcuk's universitys Scientific Reseach Projects, This work is supported by the Coordinayor ship of Selcuk's universitys Scientific Reseach Projects.