In this work, machine learning (ML) applications in microalgal biofuel production are reviewed. First, the basic steps of the algal biofuel production are summarized followed by a bibliometric analysis to...

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Gerilim seviyesi konfigürasyonu, MATLAB-Karışık tamsayı lineer programlama, Elektrik dağıtım sistemi optimizasyonu. Bu makalede, farklı gerilim seviyelerinde çok kademeli dağıtım faaliyeti sürdüren gerçek bir elektrik dağıtım şebekesinin artan enerji ihtiyacını karşılamak amacıyla yeniden planlanması enerji maliyeti açısından analiz edilmiştir. Analiz çalışmasında optimum şebeke tasarımını elde etmek amacıyla fiziksel ve elektriksel koşullar göz önünde bulundurularak ihtiyaç duyulan transformatör güçlerini ve sayılarını tespit ederek minimum maliyeti belirleyen bir minimizasyon fonksiyonu oluşturulmuştur. Oluşturulan fonksiyon belirlenen kısıt şartları içerisinde MATLAB yardımıyla karışık tamsayı programlama algoritmasından yararlanılarak çözümlenmiştir. Analiz sonuçlarından yararlanılarak, ilgili şebekede üst seviyeli tek kademeli dağıtıma geçilmesi ve gerilim seviyesinin mevcut durumda bırakılarak şebekenin yeniden tasarlanması durumları mali açıdan karşılaştırılmıştır.

The pre-determination of the effect of earthquake in subsurface structures is gaining importance increasingly. One of the main factors in determination of the damages due to earthquakes in subsurface structures, especially tunnels are horizontal acceleration value. The aim of the study is to put forward the scale of damage due to earthquake in a wastewater tunnel in Istanbul, the most populated city of Turkey, under construction. Possible damage caused by earthquake will be determined by utilizing the information about the route of the wastewater tunnel analyzed in the study.

Individuals have to work in collective living spaces which might be indoor or outdoor areas. In indoor works, people spend approximately 90% of their time in a closed space. There are many parameters affecting indoor air quality. Among these, for indoor and outdoor, important parameters can be listed as carbon monoxide (CO), carbon dioxide (CO2), sulfur dioxide (SO₂), particles, nitrogen oxides (NOx), various microorganisms, harmful allergens, and powders. Some health problems might emerge in people who stay in indoor environments for a long time. For instance, newborns and infants are more likely to stay indoors. It is the primary reason for occurring many acute and chronic diseases at an early age, as babies and children are more sensitive to environmental pollutants. Recently published studies, which report that appendicitis failures might be fatal and air pollution can increase the rate of these failures, are remarkable. On the other hand, there are many negative effects of polluted indoor air on human health such as attention deficit and excessive daytime sleepiness. Moreover, the negative effects of this kind of indoor air quality on human learning and perception can not be neglected. The researchers focusing on indoor air quality are conducting studies showing that air pollution has an effect on physical activity and neurological interaction in humans. Even though air pollutants in outdoor air content were evaluated with fuzzy logic method in many studies, there are quite few studies using the fuzzy approach for indoor air quality. In this study, through the standard formula developed by the United States Environmental Protection Agency (EPA), calculations were made using fuzzy logic in MATLAB utilizing air quality index. In the study, indoor air quality measurement parameters were evaluated with the “Mamdani” method used in fuzzy logic. In the study, the model suitable for the logic structure created with the fuzzy tool in MATLAB was analyzed with the help of Mamdani method, and the suitability of evaluating the indoor air quality with artificial intelligence was investigated. A set of suggestions has been made evaluating and criticizing the results