Background: One of the important methods for identification is the use of their photography and radiography. Studies show that the investigation, analysis and comparing of the photographs and radiographs with each other, could be useful for identification of an anonymous person. Super imposition is widely used for identifications. The aim of the present study is the using "MATLAB" software as a new simple method, in identification thought a case report.Methods: At first, control and study photographs were selected. Then, seven clear points (land mark) on each photo were determined and the length of line segments between these points also, the ratio between the lines were calculated in accuracy of two decimal places. Finally, the correlation coefficient between the facial ratios of two images were determined through SPSS software.Findings: Due to the resulting number of lines defined, the similarity between two images was 85% through SPSS software by the method of calculating the correlation coefficients.Conclusion: The introduction of computer softwares has led to new methods for forensic identification and anthropology. Using "MATLAB" software with the methodology explained in this study, as a cost-effective one, is capable of identification precisely and is recommended.

Nowadays, air pollution is one of the main challenges worldwide. There have been significant improvements in air quality dispersion modelling. AERMOD is one of these models which is based upon the Gaussian Model.However, AERMOD has some limitations in terms of data input and output. Therefore improving this model as well as developing new models adopted to our country is required to be addressed. The current research aims to develop a new model in MATLAB programming software. AERMOD and MATLAB were first investigated and then Atmospheric Dispersion Assessment Mapping Model (ADAMM) was proposed to displace AERMOD.To verify the ADAMM, results of modelling for identical pollution sites were compared. It was found that ADAMM overestimates concentrations of pollutants in comparison with AERMOD. However, ADAMM has some advantages in particular as a domestic model in different areas. It performs better in short distances (<5 km, r=0.53) than far apart. In addition ADAMM provides a user friendly environment to manipulate input and output data while reducing the simulation time. While AERMOD has specific file formats for its own input data, ADAMM follows commonly used formats such as Microsoft Excel. Data output in ADAMM is presented in different formats including MS Excel, ASCII, 2D and 3D. The other advantage of ADAMM is that it provides a single interface for all necessary operations such as data input, manipulating, modelling, and data output while a suite of modules are required to run AERMOD with each one performing a separated task.

Renewable Energy Sources (RES) are well-defined as energy sources, that are in abundance within the natural surroundings and are much inexhaustible. In addition, hydroelectricity (HE) is a vital part of world renewable energy supply and Hydropower remains a bulk source of electricity generation because of its environmental friendliness in nature. Modeling is the analysis of the non-linear models which represent the fundamental parts of the Hydropower plant (governor, turbine, servomotor). This paper studies accurate and elaborate hydraulic turbine and governor models and its implementation in MATLAB/Simulink combined with the Sims cape Power Systems (SPS). An effort has been created to develop a plant model and examine the suitableness of controllers during a governor model for fault incidence within the system by means Simulink based simulation. The Ziegler– Nichols tuning methodology was applied for specifying the gain coefficients of a governor (PID-PI) under 50% of load demand from the plant. Also, MATLAB/Simulink gave the chance to record and compare the figures of the plant with PID & PI controllers through simulation tests within the commonest cases (three-phase fault, load demand variation) with a view of finding out the potency and therefore, the stability of the system.

Due to the important role in providing safe conditions for train movements, railway interlocking systems are considered as safety critical systems, hence it requires advanced formal modeling techniques and step-by-step development to ensure safety, quality and reliability of the system. State flow toolbox of MATLAB software is a convenient tool for formal design. In this paper, a new simulator of railway signaling and interlocking systems based on discrete-event dynamic is presented. with receiving the basic information about physical features and policies of railway network, this simulator models and simulates the interlocking system. The primary features of this simulator are facility in design and developing the interlocking system and its ability to test the new interlocking functions in it. The main innovation in this simulator is that the elements of the railway network are designed based on discrete-event dynamic and its ability to develop and communicate interlocking system with other railway traffic control systems. To evaluate the performance of the proposed simulator, we simulate the interlocking system of a railway station and line 2 of Tehran metro in this simulator.

Purpose: Utilizing Electroencephalogram (EEG) is more than at any time in history, therefore we have introduced an open-source MATLAB function to provide simulated EEG which is as equivalent as viable to empirical EEG in a user-friendly way with ground truth that is not accessible in real EEG records. This function should be versatile due to the requirements such as the number and orientation of sources, various noises, mode of activation function, and different anatomical structures. Materials and Methods: We indicate all phases, modes, and formulas which constitute EEGg, EEG generator. This function supports selecting main sources locations and orientation, choosing SNR with white Gaussian noise, electrode numbers, and mode of activation functions. Also, users have the option to use automatic or partly automatic, or fully automatic EEG construction in EEGg. This function is ready to use at https: //github. com/Avayekta/EEG. Results: EEGg is designed with several parameters that users have chosen. Hence, users can choose different variables to inspect the time and frequency aspects of synthetic EEG. Conclusion: EEGg is a multi-purpose and comprehensive function to mimic EEG but with ground-truth EEG data and adjustable parameters.