Irrigation by help of freshwater resources in agricultural areas has a crucial importance. Because highly increasing demand for freshwater, optimal usage water been provided with greater extent automation technology and its apparatus such as solar power, drip irrigation, sensors remote control. Traditional instrumentation based on discrete wired solutions, presents many difficulties measuring control systems especially over the large geographical areas. This paper describes an application...

 Abstract—In this study, an automatic drip irrigation of dwarf cherry trees system with solar powered Brushless DC Motors (BLDC) has been designed and implemented in Zile District Tokat Province Turkey. One motor was used for driving deep well pump which utilized the purpose water storing to a pool. The other one centrifugal transferring waited pool irrigation. Optimum panels were selected according calculated maximum power consumption motors. need energy BLDC provided from batteries. Sun...

In recent years, more efficient and positive use of current water resources together with global warming becomes important. New technologies ideas have been developed for many years to optimal especially in agricultural field. Growers irrigate their own areas uniformly. However demand water, fertilizer chemicals are different each trees or crops depending on plant ages chemical content soil. Determination is important protect fresh resources. this study, a prototype solar powered, low cost,...

We aimed to provide a systematic evaluation of magnetic field (MF) exposure staff working in the offices located above or close transformer stations (TS) and electric enclosures (EE). Occupational short-term "spot" measurements with Narda EFA-300 isotropic probe were carried out two National Banks one Industrial Company having more than 500 employees. Extremely low-frequency (ELF) MFs up several tens μT measured mentioned environments. 25% found less 0.3 μT, background level that receive at...

Solar-powered irrigation systems are becoming increasingly widespread. However, the initial setup costs of these very high. To reduce costs, both energy usage and prevention losses from important. In this study, a drip control system 1000 dwarf cherry trees was controlled using soil moisture sensors in order to prevent excessive water consumption solar-powered system. The comprises units that energized with solar panels, flow information is implemented via radio frequency. Thus, by removing...

Özel firmalara enerji sağlayan firmalar veya işletmeler için tüketiminin tahmini ve ihtiyaç planlaması çok kritiktir. Özellikle endüstri bölgelerindeki ihtiyacı ev kullanıcılarının ihtiyacından daha yüksektir, bundan dolayı ihtiyacının doğru tahminini gerektirir. Bu çalışmada, zaman serileri yapay sinir ağları olmak üzere iki farklı yaklaşım kullanılarak Türkiye’deki bir bölgesi üzerinde çalışılmış sonuçlar test edilmiştir. Daha önceki çalışmalardan olarak, kısıtlı veri ile kısa dönem basit...

Prediction of the energy consumption is most important topic for planning to build an power station. This station can be non-renewable sources plants or renewable like wind and solar. also figures out load modeling problem in new smart grid applications. In this study, model developed temperature control a greenhouse. Artificial Neural Network based advanced with inner, outer soil. So, these temperatures are inputs ANN model. addition, output demand that strongly related data .

In this study, ANN based magnetic field modeling has been experimentally achieved for Double Sided Linear Switched Reluctance Motor (DLSRM) with 6/4 poles, 3 phases, 250W. Inductance profile overlaps data was obtained from hall-effect sensor. It is important that estimation inductance value against phase current and motor position due to main factors of the propulsion force. The precise helps overcome DLSRM nonlinearity characteristic. addition, model useful controlling such as adaptive...

In this study, kinetics of eggplant drying was modeled in the laboratory-scaled Food Drying Oven (FDO) with resistance heater designed and manufactured. The temperature, energy consumption time FDO were recorded by keeping temperature at different temperatures as 40, 50 60 °C. These saved values chosen input parameters model. weight value taken output parameter. Linear quadratic equations developed for modeling constant coefficients these estimated Artificial Bee Colony (ABC), Gravitational...

In this study, a linear switched reluctance motor (LSRM) with 250 W, 6/4 poles, 3 phases, and 24 V was controlled programmable logic controller (PLC). Some parameters of the LSRM were set, for PC monitoring, software developed by authors used. A serial port used communication between PLC. The Visual C#.Net 2008 monitoring controlling. This user interference allows controlling motor's travelling distance running strategy. first second destination can be defined system provides that operates...

In this study, Genetic Algorithm (GA) was used for determining best PID parameter speed and position controller of linear switched reluctance motor (LSRM) under different load distance profiles. On the movement, control parameters precision are needed to update, depending on load. The LSRM has nonlinear model that it is hard define with calculation. GA way find velocity. GUI developed applied LSRM's changeable.

In this study, a monitoring system has been designed and implemented for Linear Switched Reluctance Motor (LSRM).Current wave, motor position movement direction of LSRM was monitored on graphical LCD panel with microcontroller.Linear incremental encoder used to show motor.Current phases were sensed by sensors.Designed realized 6/4 poles, 3 phases, 250W, 250 N pull forces which driving an automatic door.

In this study, it was aimed to determine the thermodynamic properties of an environmentally friendly refrigerant (R404a) for both saturated liquid–vapor region (wet vapor) and superheated vapor region, in temperature range 173–498°K, pressure 10–3600 kPa by using adaptive artificial neural network algorithm. Performing analysis these gases with differential equations a computer is very time consuming requires high computational power calculation. Using numerical modeling gasses eliminate...

Transformers present the most common source of exposure to excessive extremely low frequency (ELF) magnetic fields (MFs). A transformer is an electrical device that transfers energy between two or more circuits through electromagnetic induction. Nowadays effects (EM) on health have been discussed frequently but there few measurement studies performed around various transformers for workers. In this study, leakage and enclosures site were measured in Ankara evaluated terms standards. It has...

In this study, a technique is proposed to predict cutting force of austempered vermicular graphite cast irons (VGCI) which are widely used in the industry by using neural network. The effect austempering heat treatment on was experimentally achieved. samples were austenitized at 900 °C for 90 minutes and then different temperatures (320 370 °C) 60, 120 minutes. Machinability tests carried under dry conditions CNC machining center with parameters selected accordance ISO 3685. experiment,...

This study was conducted to estimate the Olympic ranking of games played in qualifying groups by countries that were qualified for 2016 Rio Olympics volleyball branch analyzing with developed artificial neural networks (ANN) and linear equation model. In study, difficulty level all (n=324) total 22 teams (11 female 11 male teams) International Volleyball Federation (FIVB) score evaluated separately. Feedforward network structure having two hidden layers modeling ASS 9 different input...

Narenciyenin özellikle de limonun tüketimi tüm dünyada oldukça yaygındır. Narenciyeyi saklamak için farklı yöntemler mevcuttur ancak içindeki nemin büyük oranda uzaklaştırarak saklama yöntemi (kurutma) yüzyıllardır süregelen bir uygulamadır. Limon dilimlerinin kurutulması ve kurutulmasının incelenmesi (uygun sıcaklık nem kapasitesinin belirlenmesi) akademik olarak da araştırılan konuların başında gelmektedir. Yapılan bu çalışmada, çakışık merkezli fan-rezistans ile kontrol edilen gıda...

The classical weapon target allocation (WTA) problem has been evaluated within the scope of electronic warfare (EW) threat assessment with an electromagnetic effect-based jammer- tactical radio engagement approach. As different from literature, optimum non-directional jammers operating at UHF frequencies under constraints to RF emitters is aimed in this study. values targets are modelled using original algorithm developed that takes into account frequencies, jamming distance, and weather...

In this study, modeling of thin banana slices dried on 316 stainless steel shelves is carried out in an oven working with serial controlled and concentric blower-resistor couple. Changes occurred (area color) during drying process have been recorded by a camera. Additionally, weight has measured load cell which under the shelf energy consumption electricity meter tied to input. The main aim study conduct according data obtained from Besides, tested powerful technique like Artificial Neural...

The PN-guidance (Proportional Guidance) still continues to be improved, because it is the simplest, cheapest and most reliable algorithm. One of important techniques improve adapt navigation constant depending on time. In this study, first, entire adaptation methods for are classified, then process online achieved by using heuristic optimization during guiding missile. novelty study that approach used at first time update PN-guidance. It considered having short program code, fast convergence...


 On the battlefield of today, it has become an important requirement to hit moving or fixed targets by using tank artillery ammunition with high precision. However, while there are many articles on guiding tactical missiles, cannot found sufficient scientific study for in related literature. In this study, laser BR-guidance method is offered classic a diameter 155 mm order give precision strike capacity, as different from First all, model created coefficients mass, inertia, and surface...