Bu çalışma, tekno-stres ile psikolojik iyi oluş arasındaki ilişkide yaşamda anlamın aracı rolünü incelemiştir. Erzurum ve Erzincan illerinde çalışan muhasebeci ve mali müşavirlerden toplanan veriler, Yaşamın Anlamı, Psikolojik İyi Oluş ve Teknostres Ölçeği ile elde edilmiş ve Hayes’in Paralel Aracılık Modeli (Model 4) ile analiz edilmiştir. Bulgular, tekno-belirsizliğin psikolojik iyi oluş üzerinde toplamda -0,308’lik (p < 0,001) olumsuz bir etkisi olduğunu ve bu etkinin büyük ölçüde mevcut anlam aracılığıyla gerçekleştiğini (dolaylı etki: -0,203, p < 0,001) ortaya koymuştur. Tekno-iş yükü ve tekno-karmaşıklık da benzer şekilde mevcut anlam ve anlam arayışını azaltarak psikolojik iyi oluşu olumsuz etkilemiştir. Mevcut anlam güçlü bir aracı rol oynarken, anlam arayışının etkisi daha sınırlı bulunmuştur. Sonuçlar, bireylerin yaşamda anlam bulma kapasitelerinin artırılmasının, tekno-stresin olumsuz etkilerini hafifletebileceğini göstermektedir.
In this study, Extreme Gradient Boosting (XGBoost), Gradient Boosting Machine (GBM), Random Forest (RF), Bagged Trees (BT), and Custom Deep Learning methods were used to estimate the potential evapotranspiration (PET) values at Diyarbakir airport station in the Tigris basin.In establishing the models, the average temperature, maximum temperature, minimum temperature, maximum wind speed, relative humidity, average wind speed, and total precipitation values in the monthly time period were chosen as inputs, and PET values were used as output.The data set is divided into 70% training and 30% testing.10-fold cross-validation to avoid overfitting problems.Training and test data were randomly selected.The prediction performances of the models were evaluated according to the statistical criteria of determination coefficient (R 2 ), root mean square error (RMSE), mean absolute error (MAE), and rank analysis.The best PET estimates were obtained using the inputs of mean, min, maximum temperature, relative humidity, total precipitation, average, and maximum wind speed.It was also concluded that XGBoost was the highest performance.When the R 2 values were examined, it was seen that the Deep Learning model had higher performance.But for RMSE and MAE, XGBoost did better.As a result of the rank analysis, it was seen that XGBoost got a higher score.
Construction firms are increasingly look:ing for innovative constructional solutions to offer their clients. The innovation potential of the firms depends on their ability to acquife existing knowledge, to Cfeate new knowledge and to make use of it fof the fealization of new constructional solutions. The main objective of this study is to investigate the challenges of innovation through knowledge management (KM) practices in North Cyprus construction industfy. The fesearch focus is to 1) identify the key issues and challenges of innovation that contfibute to successful implementation of KM practices 2) analyze the current initiatives of innovation through KM practices, and 3) assess the effectiveness of innovation initiatives through KM practices in construction contractofs. The fesearch includes an extensive literature study, interviews with managefs on innovation through knowledge management practices in construction, analysis of this infofmation to develop findings, and extending these to pfesent the key dfivefs that could be targeted fof innovation through knowledge management sustainability. The papef commences on undefstanding the contractofs' own processes and detecting theif weaknesses and stfengths, detefmining the strategies and actions that should be made in the long term to adopt innovation and knowledge management practices and helping the North Cyprus construction industry to leam as a whole. The papef concludes how the drivefs of innovation through knowledge management practices can offef benefits to construction contractofs in North Cyprus if appropriate strategies are adopted.
Bu çalışmada Harezm Türkçesinin dil özelliklerini içinde barındıran ve 1313 tarihinde İslâm tarafından yazılmış Mu’înü’l Mürîd adlı eserde fiilden isim yapma ekleri incelenmiştir. Pek hacimli olmayan ve 407 dörtlükten oluşan, dinî-tasavvufî öğretilerin yer aldığı eserde fiilden isim yapma ekleri fişleme yöntemiyle belirlenmiş ve tasnif edilerek betimsel bir bakışla derinlemesine incelenmiş ve bazı sonuçlara ulaşılmıştır. Türklerin geniş kitleler halinde İslam dinine yöneldikten sonra insanların dinî konulara yoğunlaşma isteğini ve yeni kavramları karşılama, dinî öğretileri insanlara kolayca anlatma sorumluluğu üstlenen Harezm Türkçesi; dönem olarak Türk dilinin engin ifade gücü ve işleyen sisteminin ortaya konduğu bir dönemdir. Yeni kavramların dile yerleştiği bu dönem, eklerin ve kelimelerin belirlenerek günümüz kullanımlarına ve geçmiş şekillerine ışık tutması bakımından yine büyük bir önem taşımaktadır. Bu vesile ile eserdeki tüm fiilden isim yapma eklerinin işlev olarak kullanıldığı şekiller tespit edilerek çeşitli karşılaştırmalarda bulunmak ve Türkçenin hâlâ tartışılmakta olan konularından yapım eklerine, eserde işlendiği şekliyle farklı bir bakış açısı sunabilmek amaçlanmıştır. Tespit edilen eklerin Eski Türkçe ve günümüzdeki özellikleri ile Harezm dönemi özellikleri arasında çeşitli kıyaslamalarda bulunmak ve Türkçenin ekler vasıtasıyla canlı, işler hâlini ve zenginliğini ortaya koymak hedeflenmiştir.
When the existing literature is examined, it can be seen that many studies have been carried out to improve the mechanical properties of concrete by using waste or additive materials with different mechanical and physical properties in various proportions instead of the conventional aggregate used in concrete production. Within the scope of this study, it was aimed to examine the physical and mechanical properties of the samples fabricated using natural perlite aggregate instead of conventional aggregate by exposing them to high temperature effects. In this context, a total of 96 concrete samples will be fabricated, including 48 rectangular prism beams with dimensions of 10x10x40 cm and 48 cube samples with dimensions of 15x15x15 cm, with a concrete compressive strength of 25 and 40 MPa, using perlite and conventional concrete. The samples were planned to be exposed to temperature effects of 200ºC, 400ºC and 600ºC at room temperature. Afterwards, the samples will be examined with destructive/non-destructive methods such as mass loss (ML), ultra sound transmission rate (USTR), compressive strength (CS), elasticity modulus (EM)and pure bending (PB) test, and the mechanical and physical properties of all samples will be compared.
No abstract is provided for this article.
Yurt dışında yayınlanan son araştırma (Yalçıner ve diğerleri 2012) göstermiştir ki, olası İstanbul depremi kapsamında sürdürülen çalışmalarda ciddi aksaklıklar ve hatalar söz konusudur. Kentsel dönüşüm projesi adı altında yapılan çalışmalarda çok ciddi hatalar yapılmaktadır. Bu çalışmalarda mevcut betonarme yapılar yerinde incelenerek, mevcut yapı hakkında değerlendirmelerde bulunulmaktadır. Bu değerlendirmelerin yapılabilmesi için genel olarak iki yöntem izlenmektedir.
Bu makalede, ısı-akış sistemine uygulanan üç farklı kontrolcünün tasarımı, simülasyonu ve performans karşılaştırması sunulmuştur. İlk olarak, ısı-akış sisteminin dinamik modeli elde edilmiş ve devamında ısı kontrolünü gerçekleştirmek için kayan kipli kontrol (KKK), adaptif kayan kipli kontrol (AKKK) ve adaptif kesir dereceli kayan kipli kontrol (AKDKKK) yöntemleri tasarlanmış ve uygulanmıştır. Tasarlanan kontrolcülerin performansını analiz etmek için Matlab/Simulink programı aracılığıyla ısı–akış sisteminin simülasyonu oluşturulmuş ve tasarlanan kontrolcülerin performansı analiz edilmiştir. Simülasyon ortamından elde edilen referans sıcaklık takip hatası, adaptasyon kazancı, ani değişimlere karşı kontrolcünün tepkisi, maksimum aşım, yükselme ve yerleşme zamanı gibi sonuçlar sunulmuş ve elde edilen sonuçlardan AKDKKK’nün diğer kontrolcülere göre referans sıcaklığı daha az hata ile takip ettiği, daha düşük aşım, yükselme ve yerleşme zamanına sahip olduğu gözlemlenmiştir. Ayrıca, KKK uygulandığında en yüksek referans sıcaklık takip hatası, yükselme ve yerleşme zamanına sahip olduğu gözlemlenmiştir.
Implementing neuron circuit using memristor can be more effective thanks to some properties of memristor such as nonlinearity. For this reason, many memristor-based neuron circuits have been found in the literature. This study presents a memristor-based floating neuron circuit that exhibits different types of spikes. In the proposed circuit, two classical memristors and one special memristor are utilized. The special memristor is designed to exhibit various pinched hysteresis loops and plays an important role in producing different spike types. The proposed special memristor can also be controlled using only one voltage source. Using memristors, we implemented a neuron circuit which can produce regular spike, bursting spike and fast spike. Also, neuron circuit has a floating structure, and so there is no restriction on using it with other circuit elements. All simulations are implemented in the SPICE simulation program with TSMC 0.18-[Formula: see text]m CMOS process parameters.
A domestic solar water heating system using a flat plate collector is modeled for the domestic hot water requirement of a residential unit in Ankara, Turkey. The necessary design parameters were determined and the analysis was carried out using the TRNSYS simulation program. In the modeled system, the domestic water temperature was determined as 55 °C and water withdrawals were carried out at different flow rates during the day according to the usage intensity. The water withdrawal rates were determined as 80 kg/h between 07.00-09.00, 100 kg/h between 12.00-13.00 and 50 kg/h between 17.00-22.00. According to the results obtained, the designed system was able to meet the hot water need in summer and winter months by using solar energy through auxiliary heaters. While the collector efficiency reached its highest value with 40% in September, it reached the lowest efficiency value with 8% in December.
In this paper, a nonlinear Continuous Sliding Mode control (CSMC) application is presented for trajectory tracking control of a four rotor unmanned aerial vehicle (UAV) called the Quadrotor, also known as micro helicopter. The proposed controller is tested with different time-varying reference routes to provide a stable flight for position control. To show the effectiveness of the designed CSMC, well-tuned PI controller is also applied to quadrotor for the same routes. The current position of the quadrotor is taken from accelerometer, gyroscope and ultrasonic sensors. The experimental results show that the CSMC is adequate to dealing with parameter uncertainties occur in the system dynamics while flying and has satisfactory performance in terms of robustness against to disturbances and error elimination when it compared with PI controller.DOI: http://dx.doi.org/10.5755/j01.eie.23.3.18325
This study investigated pedestrians involved traffic accidents with the aim of classifying the severity of accidents based on the number of injured pedestrians using machine learning algorithms, including AdaBoost, Gradient Boosting, XGBoost, K-Nearest Neighbors (KNN), Logistic Regression, Support Vector Classifier, Decision Tree, and Random Forest. The Random Forest model was identified as the best model for classifying pedestrian-involved traffic accidents, achieving high predictive accuracy of 95%, an F1 score of 0.95, and demonstrating low error metrics. The research analyzed both driver and pedestrian faults, alongside factors such as the presence of pedestrian crossings, intersection type, driver age, time of day, month and seasonal variations. The results revealed that accidents at locations without intersections were primarily caused by driver faults, such as speeding, while pedestrian faults, such as crossing at unintended locations, also significantly contribute to the overall accident rate. The findings offered valuable insights into the characteristics of pedestrian accidents to improve traffic safety and reduce pedestrian injuries and fatalities.
