Ara
Toplam kayıt 95, listelenen: 11-20
Improving Autonomous Performance of a Passive Morphing Fixed Wing UAV
(Kauno Technologijos Universitetas, 2020)
In this article, simultaneous longitudinal and lateral flight control systems design for both passive and active morphing unmanned aerial vehicles (UAVs) is first time applied for autonomous flight performance maximization. ...
Prediction of main particulars of a chemical tanker at preliminary ship design using artificial neural network
(Taylor and Francis Ltd., 2018)
Preliminary ship design is an important part of the ship design and a reliable design tool is needed for this stage. The aim of this study was to develop an artificial neural network (ANN) model to predict main particulars ...
A theoretical performance investigation of irreversible internal combustion engine named as Dual-Miller Cycle
(Yildiz Technical Univ, 2020)
Internal combustion engines (ICEs) have harmful effects on the environment in terms of emissions. According to present emission regulations, reducing NOx emissions came into prominence. One of the techniques of reducing ...
Prediction of cyclic variability in a diesel engine fueled with n-butanol and diesel fuel blends using artificial neural network
(Elsevier, 2018)
In this study, the cyclic variability of a diesel engine using diesel fuel and butanol diesel fuel blends is modeled using an artificial neural network (ANN) method. The engine was operated with ten different engine speeds ...
Experimental investigation on cyclic variability, engine performance, and exhaust emissions in a diesel engine using alcohol-diesel fuel blends
(Serbian Society of Heat Transfer Engineers, 2017)
This paper investigates the impacts of using n-butanol-diesel fuel and ethanol-diesel fuel blends on engine performance, exhaust emission, and cycle-by-cycle variation in a Diesel engine. The engine was operated at two ...
A new method for calculating fuel consumption and displacement of a ship in maritime transport
(Taylor & Francis AS, 2017)
Fuel consumption is the most important parameter which is effected by the petrol prices. Optimization of the sailing speed decreases the fuel cost because it is proportional to the sailing speed. In this study, the present ...
Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets
(Elsevier, 2020)
The selection of the appropriate aircraft can bring competitive advantages to airlines, however, there are a number of factors which introduce a degree of uncertainty to the selection process. By removing this uncertainty, ...
Forecasting the Baltic Dry Index by using an artificial neural network approach
(TÜBİTAK Scientific & Technical Research Council Turkey, 2018)
The Baltic Dry Index (BDI) is a robust indicator in the shipping sector in terms of global economic activities, future world trade, transport capacity, freight rates, ship demand, ship orders, etc. It is hard to forecast ...
A value chain analysis of a seaport from the perspective of Industry 4.0
(Inderscience Publishers, 2020)
The main aim of this study is to reveal the role and contribution of Industry 4.0 in the value chain of seaports. It first reviews the literature to identify value chain activities in the port industry. It then explores ...
Isoflurane versus sevoflurane for early brain injury and expression of sphingosine kinase 1 after experimental subarachnoid hemorrhage
(Elsevier Ireland, 2020)
The first step to treat aneurysmal subarachnoid hemorrhage (SAH) is aneurysmal obliteration under general anesthesia but not treat the SAH itself and the secondary effects. However, the identification of anesthetics with ...