For performance improvement and higher flexibility in irrigation networks، application of automatic systems are expanding and evaluation of their success for achieving the objectives is necessary. Considering various equipment، algorithms، and their applications in different levels of irrigation networks، performance of automatic systems is a function of the performance of all elements، therefore development of performance evaluation model which takes into account all required aspect is necessary. In this study for performance evaluation automatic systems in irrigation networks، INACSEM model is developed، using classical method in terms of technical and general aspects. Technical aspect includes equipment، software and control structures، and general aspect consists of management، social، economic and environmental aspects. Result of the model for automatic monitoring systems (Arian، 2000) in Aghili canal of Gotvand irrigation network shows that performance of the system is 63% with 80% credibility. The result show that the developed model is a suitable tool for performance evaluation of automatic systems used in irrigation networks، which considers all necessary aspects of performance evaluation of automatic systems، and shows the problems of each element of the system.

Application of automatic systems، including discharge measurement technology is one of the effective methods for improving delivery management، water use efficiency، flexibility، and performance of irrigation networks. Several aspects such as hydraulic، technical، physical، environmental، economic، social، and managerial، have significant impact on these systems selection. Due to diversity of the alternatives and numerous affecting factors، suitable selection of automatic discharge measurement technology is a complex task، which makes it necessary to apply multi attributes models. In this paper، TOPSIS method is used for selection of automatic discharge measurement systems. At the first step، different alternatives for automatic discharge measurement and effective attributes on selection of these systems are identified، introduced and categorized. Afterward decision matrix، as the model input، is produced by scoring attributes for all alternatives. The decision making model that used TOPSIS ranking method and Entropy weighting method، is developed in MATLAB software and is run for L1 canal of Qazvin irrigation network. The results show that the discharge- depth and velocity-area automatic systems have higher ranking. In addition pressure and floating water level sensor are better than bubbler and ultrasonic options.

In recent years, Many manufacturing industries for promoting their efficiency have tended to use the automatic manufacturing systems. Expanding automatic systems and to increase their complexity are representing the necessity of studying a proper functional quality and using reliable equipment in such systems more than ever. In this direction, the technique of fault tree analysis (FTA), along with using other techniques such as failure mode and effect analysis (FMEA) reveals the incorrect performance states (modes) in system in order to know these modes exactly may prevent their occurance and increase their function quality. In this study, the approaches may increase the reliability of performance in an industrial robot are studied by FTA technique as a case study to show improvement in performance of equipments on automatic systems to reduce their destruction (fault) during the work, and finally access to an automatic manufacturing systems with high reliability.

Using suitable laboratory methods for the diagnosis of hemoglobinopathies in laboratories not equipped with automatic systems is essential. The correct diagnosis of hemoglobin Q-Iran (α75Asp → His) is important. Case: A 33-year-old woman was referred to the national reference globin chain biosynthesis laboratory. The patient''s globin chains chromatogram indicated an unknown peak after α globin chain peak. Direct conventional sequencing revealed single G to C missense mutation in the -globin gene. The genetic analysis led to the identification of a rare hemoglobin variant. Medical diagnosis laboratories not equipped with modern automatic systems must run solubility test and hemoglobin electrophoresis on citrate agar and cellulose acetate for definite detection of Hb Q-Iran; otherwise، it can be regarded as a cause of misdiagnosis with hemoglobin S.

The present research proposes an automatic system based on moving average (MA) and fuzzy logic to recognize technical analysis patterns including head and shoulder patterns, triangle patterns and broadening patterns in the Tehran Stock Exchange. The automatic system was used on 38 indicators of Tehran Stock Exchange within the period 2014-2017 in order to evaluate the effectiveness of technical patterns. Having compared the conditional distribution of daily returns under the condition of the discovered patterns and the unconditional distribution of returns at various levels of confidence driven from fuzzy logic with the mean returns of all normalized market indicators, we observed that in the desired period, after recognizing the pattern, all patterns investigated at the confidence level 0.95 with a fuzzy point 0.5 contained useful information, practically leading to abnormal returns.

This work represent a proposed design to supply street lighting power using moving vehicles with an automatic system to guide the fluid flow. In the present design, wind turbines are integrated on the body of the lighting base, which can reduce the construction cost compared to previous designs and use the fluid flow of all vehicles movement with different dimensions to increase system efficiency. Also, present investigation, has been used an automatic system to direct the fluid flow to the wind turbines to increase the efficiency in supplying electricity, which was not installed in the previous designs. Other features of this system include the production of electricity in inappropriate weather and storm conditions, unlike previous designs that had to stop the wind turbine in these conditions to decrease damage. Finally, illuminating the streets and alleys, the stored energy can be used for other purposes, such as charging car batteries and lighting resort stations. Then, comparison between the best design of the third model based on lighting and second model with four vertical wind turbines (VWT) and solar panel (SP), the power generation has increased by 35.55 %. Finally, using an automatic guidance systems (AGS) of fluid flow in the third model based on lighting, the power generation was enhamced by 64.86 %.

The evolution and progress of the automatically vectorizing system is very important as a process input method that takes great time and cost. Most systems that vectorize roster data will force users to set different parameters for a particular map image. But it is difficult for novices to be able to modify the parameters properly and appropriately.
This paper explains a science-based system in order to achieve the automatic vectorization of roster information. This automatic system makes the right choice of parameters possible. Since the act of limiting input image data to produce a framework of proper length and width is a necessary condition for the automatic vectorization of roster data in several steps, so the implementation of limiting algorithms for sample data is systematically evaluated in the images of multiple map, and appropriate rules for maps are thus formed.

Chronic Obstructive Pulmonary Disease (COPD) is one of the most prevalent pulmonary diseases. Use of an automatic system for the detection and diagnosis of the disease will be beneficial to the patients’ treatment decision-making process. In this paper, we propose a new approach for the Computer-Aided Diagnosis (CAD) of the disease and determination of its severity axial CT scan images. 24 lung CT scans in full inspiratory and expiratory states were performed. Variations in the normalized pattern of the lung's external parenchyma were exploited as a feature for COPD diagnosis.

Application of optimum operational approaches would be effective due to existing poor operational performance of irrigation canals and its direct effect on decreasing agricultural water productivity. In this study¡ automation system is introduces to improve operational performance of Roodasht main irrigation canal suffering from drastic in fluctuations of water inflow. To this end¡ a centralized Model Predictive Controller (MPC) is designed to be applied for operation of mathematical model of the test case. Both of the mathematical models¡ including the existing operation of the canal and the MPC system¡ are tested by inflow fluctuation scenario. The results of the simulation are evaluated by the operational performance evolution indices. The results indicate that operational level is improved by applying automatic control system since the performance evaluation systems of IAE and MAE are respectively improved from 21.49% and 12.63% to 5.32 and 3.21%. Also¡ the results approves that automatic systems could be introduced as safe and reliable options for rehabilitation and modernization projects.

It has been reported that cardiovascular effects are among the possible health effects of being exposed to extremely low frequency electromagnetic fields (ELF EMSs). This study has been conducted to evaluate the long term effects of exposure to magnetic and electric fields on electrocardiogram signal changes. Nine power transmission posts having different voltages were chosen. The study was conducted in three stages. First, the intensity of root mean square (rms) of magnetic and electrical fields was assessed in different spots where the operators were spending more time. Then based on each operator’s work habits the time–weighted mean of intensity of rms in magnetic and electrical fields over a 12 hour period was estimated and used as an index for each operator. In the next step, 102 individuals were chosen among the operators according to their job and medical history. Each subject had an eletrocardiogram taken while being relaxed. The cardiograms were used to extract 5 parameters including number of heart bit, wave time of P, complex QRS, interval time of PR and QTC.Using poly regression analysis method, the synchronized effects of independent variables such as age, job history, time–weighted mean of magnetic and electrical field on the extracted parameters of electrocardiogram signal was analyzed. The obtained results show that the synchronized effects of the variables can cause changes on PR and QTC interval of electrocardiogram signal. The most changes on PR and QTC interval are caused by the exposure to magnetic and electrical fields.Discussion and Studying the effects of electromagnetic field on electrocardiogram signal is representative of effects of these fields on repolarization of cardiac cells. On the other hand, the heart rhythm and the number of heart bit are under the control of automatic system of central nervous system. Therefore, it is important to analyze electrocardiogram signal as well as heart rate variability signal in order to evaluate the field effects on the function of heart automatic system of central nervous system.