MATLAB Application Research Articles

Possibility of using Matlab application to propose fuzzy computer model

More and more organizations in various fields apply the principles of the Industry 4.0 philosophy. The result, among other benefits, is the acquisition of a large amount of data. Data can be of great importance to them in terms of decision support, analysis and, last but not least, as a resource for simulations and computer models. Currently, various approaches and software applications can be used to create models. One of the applications that allows the creation of computer models in various fields is Matlab. Diversity of use is ensured by different sets of tools, which are specifically focused on individual areas and thus provide the necessary tools. In the presented paper we focus on the possibilities of using fuzzy approach in the design of a computer model in the field of heating with the tools of the Fuzzy Logic Controller toolbox. The basis for creating the model will be historical data obtained from the real object. The individual tools of the toolbox, the creation and presentation of rules will be described, as well as the connection of the proposed model with the Simulink environment.

PROFIL VERTIKAL DAN LUAS BIDANG DINAMIKA HARIAN GRADIEN SUHU UDARA DI ATAS PERMUKAAN LAHAN TERBUKA, LAHAN BERVEGETASI DAN PERMUKAAN ASPAL

This study aims to determine the temporal function model, spatial temperature and dynamic models of air temperature gradients over the surface of open land, vegetated land, and asphalt surface. The research location is at the State University of Manado in the hills of Tonsaru South Tondano, Minahasa Regency. The research methodology was carried out on three transects at nine altitude positions for 24 hours of measurement time, measuring positions ranging from the ground level to 0cm, 10cm, 30cm, 60cm, 100cm, 150cm, 220cm, 300cm, to 400cm. Data processing carried out in this study is by entering data on air temperature, the measured ground surface into the Matlab application. It can be shown that temporal changes and vertical spatial variations in air temperature show different but relatively the same curve shapes in hot weather conditions during the day, expressed by using a mathematical model of the Fourier function and daily dynamics of air temperature gradients on various land surfaces is influenced by the process of heat absorption and thermal emission processes from the soil in various lands.

PROFIL VERTIKAL DAN LUAS BIDANG DINAMIKA HARIAN GRADIEN SUHU UDARA DI ATAS PERMUKAAN AIR LAUT DAN DI DALAM AIR LAUT

The temperature in sea water varies at each depth. The temperature of sea water at the surface is higher and the temperature at a deeper point is decreasing slowly. This study aims to determine the model of the temporal, spatial function, and dynamic models of daily temperature gradients above sea level and in sea water. This type of research is included in the type of exploratory research that is quantitative in nature. The research is in Tulaun hamlet, Lalumpe Village, Kombi District, Minahasa Regency, North Sulawesi Province, Indonesia. The research was conducted for 24 hours at 9 points, ranging from 0 cm, 10 cm, 30 cm, 60 cm, 100 cm, 150 cm, 220 cm, 300cm, to 400cm. The research variables were temperature and light intensity. Data processing in this study is to enter existing data into the Matlab application. The results of the study of changes in the functional model above sea level and in seawater are influenced by the heat absorption process of air temperature.

Optimasi Rute Distribusi Menggunakan Metode Tabu Search Perusahaan Daerah Air Minum (PDAM) Tirta Bangun Kulon Progo

Logistics management is known as distribution and transportation management, while others call it physical distribution management. Distribution activities are very important for companies to deliver a product to consumers across various regions. The Regional Drinking Water Company (PDAM) Tirta Binangun Kulon Progo is one of the companies that produce Bottled Drinking Water (AMDK) under the product name AirKu. The high demand for AMDK AirKu products in 240 ml cup packaging was causing limited vehicles and the absence of a clear standard distribution route, which caused the distribution process to be carried out randomly. Therefore, to overcome the company's problems, it is possible to determine the Vehicle Routing Problem (VRP) route with the CVRP approach, where the route determination is based on fleet capacity. The method used was tabu search using the MATLAB application to minimize the bottled product delivery route traveled. The results obtained were the total distance traveled by 284.9 km. The proposed route had a distance savings of 118.26 km, which is better than the company route.

Research on small caliber weapons firing ranges security enhancement considering the projectile-obstacle impact

Weapons systems are used to gain a tactical, strategic, material or mental advantage over an adversary or enemy target. The modern weapons systems are designed to be technologically complex but practical for operator usage. The firing phenomenon consists of a multitude of mechanical and thermodynamic processes with the result being the movement of the projectile towards a chosen target. The projectile movement from the weapon to the point of impact defines its trajectory.Firing ranges are locations where military personnel is operating certain weapons systems in order to achieve specific results and certain levels of readiness. Due to increasing urbanisation of the areas adjacent to firing ranges, monitoring the projectile trajectory becomes mandatory in order to be able to provide a secure climate for both military personnel and civilians.It is the purpose of the author to provide the numerical simulation tool (a MATLAB application) which is useful for tracking the projectile trajectory from the muzzle of the weapon to the impacted obstacle. By computing the useful information obtained with the internal and external ballistics, the theoretical trajectory of a projectile can be calculated. In order to get the most accurate values, preliminary knowledge is needed. So by using appropriate tools and software, a projectile’s trajectory can be calculated if the correct values are provided (mass, diameter, initial angle, initial speed). The tool created has different weapons-ammunition specifications and initial conditions parameters loaded that can be combined with the existing drag laws known in ballistics (Siacci law, 1930 law or 1943 law) to describe the projectile movement in atmosphere. As obstacles are defined, similar to the ones existing in a firing range, the tool can assess where the impact occurred and is able to display necessary values (impact points coordinates, velocities, impact angles, etc) while also creating 3D and 2D visualisations on the integrated graphic area. This way, the tool can be used to create impact assessments for specific weapons systems and decisions can be made to enhance the security of the firing range and the firing safety.Three different firing range configurations are considered for comparison when using certain small caliber weapons used by NATO countries.

MATLAB Modelling electron energy spectrum in one-dimensional quantum well with infinitely high walls for GaAs solid solution

The paper presents calculations of electron states in semiconductor nanostructures AlxGa1–x As (x=0) and simulates the energy spectrum of the electron in a one-dimensional quantum well with infinitely high walls of a given width (from 10 to 30 atomic monolayers) using MATLAB application. The data is visualized using a wavelet transform with different wavelet functions.

Effects of background noise on the speech acoustics of people with aphasia

We investigated the effect of six background noise conditions (silent baseline, pink noise, monologue, lively conversation, one-sided phone call, and cocktail noise) on acoustic measures of speech during story retells in people with aphasia. Eleven individuals with aphasia and 11 age- and gender-matched control participants heard the background noise through headphones while they retold short stories. We measured mean and standard deviation of intensity and fundamental frequency (F0), and speech rate. A Matlab application computed a speaking time ratio measure (i.e., time speaking versus time pausing). With the exception of the monologue and one-sided phone call condition, both people with aphasia and control participants significantly increased their intensity and F0 in the presence of background noise, regardless of noise type. Additionally, participants with aphasia had significantly lower speaking time ratios and speaking rates than control participants. All speakers made acoustic changes while hearing background noise, likely because speech intensity rises in an effort to increase the signal-to-noise ratio, while mean F0 increases due to a presumed rise in subglottal pressure. Further research is suggested to investigate other acoustic differences, possibly at the segmental level, between speech produced in informational and energetic background noise conditions.

Computer modeling of the heat exchange process in the calefacient chamber of the evaporator

A system analysis is considered in the construction of a computer model of processes in the heating chamber of a steam heat exchanger, based on the MATLAB application program, by combining blocks of process models of the quasi-apparatus of the regulatory body, the steam zone, the condensate and the wall. According to the computer model of the dynamics of the heating chamber process, depending on the changes in the input parameters (steam pressure in the heating water supply pipeline, changes in the opening coefficient of the heating water supply valve, the temperature of the heating steam in the heating water supply pipeline, the heat sink from the wall), the computer automatically calculates the values of the heating steam pressure, the flow rate of the heating steam passed through the control valve, the condensation temperature of the heating steam, the wall temperature. Calculations show that with an increase in the pressure in the supply line of heating water vapor or the opening of the valve, the steam pressure in the heating chamber increases, along with this, the condensation temperature increases, and the transfer of heat energy through the heat exchange wall increases. For the example under consideration, when the water vapor pressure in the heating chamber increased to 250 kPa, the condensate temperature increased to 1200C.

Tingkat Korelasi Prestasi Akademik terhadap Siswa SMP Menggunakan Metode Backpropagation

Student academic achievement plays an important role in determining the quality of a school. Student scores sometimes change each semester, there are increases and decreases. There is an assumption that students who scored well in the previous semester will be good in the next semester and vice versa. This method is expected to make it easier for educators to see the extent of changes in student academic achievement. The data tested were data from 60 grade VII students in 2 semesters. Furthermore, it will be tested using the MatLab application, then the results of the changes that will occur will appear. The results of this study found that the correlation between semester 1 scores and semester 2 TP scores. 2019/2020 is very good with an architectural pattern of 10-10-1 with an accuracy value of 95.3%. So students who excel in semester 1 are likely to excel in the next semester, so that they can help the school see the Correlation Level of Student Academic Achievement at SMPN 3 Lengayang.

Tingkat Pemahaman Siswa dalam Pembelajaran Daring dan Tatap Muka Langsung dalam Masa Pandemi Covid-19 Terhadap Bimbingan TIK Menggunakan Metode Backpropagation

The Covid-19 pandemic has a major impact on the world of education. Government policies to implement Distance Learning (PJJ) have an impact on learning in schools. Increasing ICT competence is needed to support the smooth running of PJJ. One of them is through ICT guidance activities during the Covid-19 Pandemic. SMP Negeri 1 Lengayang carried out online and face-to-face ICT guidance activities during the Covid-19 Pandemic. However, student learning outcomes in online and face-to-face learning have not shown maximum results. Various obstacles arise that affect student learning outcomes. Teachers have difficulty measuring the level of students' understanding of ICT guidance. Predicting the level of understanding of students is important as a measure of learning success during the Covid-19 Pandemic. This study aims to predict the level of understanding of students in online and face-to-face learning during the Covid-19 period, so that it can also help schools to take the right policies to improve the quality of learning for the future. This study uses the Backpropagation method of Artificial Neural Network (ANN). ANN is a part of artificial intelligence that can be used to predict. The data that is managed is a recap of the value of student cognitive learning outcomes during ICT guidance in online and face-to-face learning during the Covid-19 Pandemic. The results of calculations using the Backpropagation method with the Matlab application produce a percentage value for the level of student understanding, so that the accuracy value in prediction is obtained. With the results of testing the predictive accuracy of the level of understanding online and face-to-face with the 3-10-1 pattern, the best accuracy value is 95%. The prediction results can measure the level of students' understanding of learning during the Covid 19 Pandemic towards ICT guidance.

DETERMINATION OF THE TECHNICAL CONDITION OF THE ELECTRIC MOTOR UNDER INCOMPLETE INITIAL DATA CONDITIONS

The article analyzes the damageability of electric motors at agricultural processing enterprises in Ukraine. Modern microprocessor systems are being introduced in order to automate the process of determining the technical condition of electric motors. Their software implements complex and informative methods for determining the current state of electric motors based on the analysis of the current values of diagnostic parameters. The current values of not all diagnostic parameters of electric motors are known at the time of determining the technical condition. Therefore, their predicted values are applied. The authors propose to evaluate the current technical condition of electric motors by analyzing the value of the coefficient of its residual life. The values of this coefficient vary from 1 p.p. (the engine is fine) to 0 p.p. (the engine is defective.) An example shows the use of software, namely, Anfis editor of the Fuzzy Logic Tool Box application of the Matlab application package, for creating a mathematical model of the residual life coefficient of an electric motor. It is noted that the error in training the model based on 582 considered variants of combinations of diagnostic parameters and the corresponding values of the residual life of the electric motor does not exceed 0.00288 p.p. (0.2%), and for test voters – 4.1%. Taking into account the large number of mutually influential diagnostic parameters of electric motors, in order to simplify the assessment of the current technical condition, we propose to use the integral diagnostic parameter  the coefficient of residual life. At the same time, it is difficult to determine the technical condition of a working electric motor, because some diagnostic parameters can be measured in a disconnected or disassembled electric motor (for example, measuring the insulation resistance of the stator winding with a megaohmmeter or measuring the diameter of the rotor shaft under the bearing in order to identify the cause of vibration). Therefore, determined at the rate of the process, under such conditions, the technical state of the operating electric motor is predictable  fuzzy. To determine it, one should use the methods and means of neuro-fuzzy modeling. Therefore, the problem of improving the quality of operation of electric motors in agricultural production by improving the quality of their diagnostics is relevant and of great national economic importance.

Discussion and Improvement on the Calculation of the Relationship between the Base Emitter of the Bipolar Junction Transistor and the Temperature by Using MATLAB Software

The purpose of this article is to explore and improve the effect of Bipolar Junction Transistor amplifier base-emitter on temperature changes. The prelude starts with Shockley's theory and its formula calculation. Research motivation, literature data and book principles cooperate with MATLAB application software skills to develop programs; it is used to calculate the relationship between various component parameters and temperature changes. The artificial calculation steps are too cumbersome and prone to clerical errors. Therefore, the program approach has been developed with report-style calculation results with both text and pictures. The feature of computer program calculation is the ability to compare and analyze the results produced at different temperatures, rapidly and repeatedly. The lack of known Bipolar Junction Transistors is replaced by Field Effect Transistors that are not affected by temperature. If the Bipolar Junction Transistor is used as the basis for the design, temperature changes must be considered to ensure the design quality. The purpose of this article is to introduce that the process of calculation has made the shift from an artificial-based way to a computer-based one.

Tingkat Korelasi Prestasi Akademik Terhadap Siswa SMP Menggunakan Metode Backpropagation

Student academic achievement plays a very important role in determining the quality of a school. Student grades sometimes change every semester, there are increases and decreases. There is an assumption that students whose grades are in the previous semester will be in the next semester and vice versa. is expected to make it easier for us as educators to see the extent to which changes in student academic achievement. The data tested is the data of 60 class VII students in 2 semesters. Furthermore, it will be tested using the MatLab Application, then the results of the changes that occur will come out. The results of this study found that they did not know the value of semester 1 with the value of semester 2 TP. 2019/2020 is very good with an architectural pattern of 10-10-1 with a value of 95.3%. So students who excel in semester 1 are likely to excel in the following semester. So that it can help the school in seeing the Correlation Level of Student Academic Achievement at SMPN 3 Lengayang.

Tingkat Pemahaman Siswa dalam Pembelajaran Daring dan Tatap Muka Langsung dalam Masa Pandemi Covid-19

The Covid-19 pandemic has a major impact on the world of education. Government policies to implement Distance Learning (PJJ) have an impact on learning in schools. Increasing ICT competence is needed to support the smooth running of PJJ. One of them is through ICT guidance activities during the Covid-19 Pandemic. SMP Negeri 1 Lengayang carried out online and face-to-face ICT guidance activities during the Covid-19 Pandemic. However, student learning outcomes in online and face-to-face learning have not shown maximum results. Various obstacles arise that affect student learning outcomes. Teachers have difficulty measuring the level of students' understanding of ICT guidance. Predicting the level of understanding of students is important as a measure of learning success during the Covid-19 Pandemic. This study aims to predict the level of understanding of students in online and face-to-face learning during the Covid-19 period, so that it can also help schools to take the right policies to improve the quality of learning for the future. This study uses the Backpropagation method of Artificial Neural Network (ANN). ANN is a part of artificial intelligence that can be used to predict. The data that is managed is a recap of the value of student cognitive learning outcomes during ICT guidance in online and face-to-face learning during the Covid-19 Pandemic. The results of calculations using the Backpropagation method with the Matlab application produce a percentage value for the level of student understanding, so that the accuracy value in prediction is obtained. With the results of testing the predictive accuracy of the level of understanding online and face-to-face with the 3-10-1 pattern, the best accuracy value is 95%. The prediction results can measure the level of students' understanding of learning during the Covid 19 Pandemic towards ICT guidance

Choice of Offers by means of Multi-criteria Decision Systems, using Fuzzy Logic. Case Study

This paper shows in detail the steps for the creation of an application in Matlab, using multi-criteria decision systems based on fuzzy logic. The aim of the application is to find the optimal offer for a client, based on the scores attained by simulation. In order to make the optimal offer in terms of quality and price for thermoplastic material parts, the main elements that are taken into account for the final price are cost of raw material, its quality and the price of the mould. The price of the raw material is mainly influenced by the annual necessary volume and by the project duration. The dimensions, the tolerances of dimensions, shapes and positions, the surface roughness, the coordinates of the critical points and the warranty of the mould have all a great influence on the price of the mould. This paper has two main chapters, of which the first one presents the selection procedure of an offer, and the definition of the multi-criteria decision systems that are used to evaluate the final offer, based on the accuracy of the choice for raw material and mould. The second chapter presents a case study which demonstrates the possibility to make such an application. The input quantities of the decision system must be carefully defined in order to attain results as coherent as possible.

Calculating Feeder Fault Current with MATLAB Software Program

The aim of this article describes the program of computerized how to calculate the feeder fault current in a distribution substation. This article adopts Thevenin theory as the basis of calculation, and narrates them in two ways: the artificial and the computerized algorithm. It leaves aside the artificial and delves the computerized algorithm. The latter is divided for two computerized algorithm - separate and all of equipment. In the computerized algorithm, all data inputting, procedure steps, and report form were carefully been designed by MATLAB application software. As for data Inputting refers to the specification parameters of equipment component. The characteristics of this article are described with both text and Fig. to achieve operation simple and understanding easy. References include a representative textbook and several journal articles. Verify with real cases and reveal the pros and cons of artificial and program algorithms. The purpose of this article is to discard waste - an artificial calculation that is time - consuming, cumbersome and prone to clerical errors. The computer programs algorithm can compensates for defects and improves accuracy and timeliness. This method has been proven to be an economical design aid tool that is of great help to maintenance or designers in the field of electrical engineering.

A modified version of MATLAB application window for predicting the weld bead profile and stress–strain plot of AA5052 CMT weldment using ER4043

The present study deals with the extended version of our previous research work. In this article, for predicting the entire weld bead geometry and engineering stress–strain curve of the cold metal transfer (CMT) weldment, a MATLAB based application window (second version) is developed with certain modifications. In the first version, for predicting the entire weld bead geometry, apart from weld bead characteristics, x and y coordinates (24 from each) of the extracted points are considered. Finally, in the first version, 53 output values (five for weld bead characteristics and 48 for x and y coordinates) are predicted using both multiple regression analysis (MRA) and adaptive neuro fuzzy inference system (ANFIS) technique to get an idea related to the complete weld bead geometry without performing the actual welding process. The obtained weld bead shapes using both the techniques are compared with the experimentally obtained bead shapes. Based on the results obtained from the first version and the knowledge acquired from literature, the complete shape of weld bead obtained using ANFIS is in good agreement with the experimentally obtained weld bead shape. This motivated us to adopt a hybrid technique known as ANFIS (combined artificial neural network and fuzzy features) alone in this paper for predicting the weld bead shape and engineering stress–strain curve of the welded joint. In the present study, an attempt is made to evaluate the accuracy of the prediction when the number of trials is reduced to half and increasing the number of data points from the macrograph to twice. Complete weld bead geometry and the engineering stress–strain curves were predicted against the input welding parameters (welding current and welding speed), fed by the user in the MATLAB application window. Finally, the entire weld bead geometries were predicted by both the first and the second version are compared and validated with the experimentally obtained weld bead shapes. The similar procedure was followed for predicting the engineering stress–strain curve to compare with experimental outcomes.

Planning Total Veener Production PT. XYZ

PT. XYZ is engaged in the manufacture and sale of wood veneers. Starting from the constant occurrence of over stock, now the company must make improvements to the production forecasting process so that over stock can be avoided. It can be seen that accurate production forecasting can create conditions for an effective and efficient production system. This study aims to obtain a more accurate forecast of material requirements using the Support Vector Regression (SVR) method, which is the result of the development of a Support Vector Machine (SVM) which has good performance in predicting time series data. Application of the Support Vector Regression (SVR) method with the RBF kernel in predicting the need for veneer production using the MATLAB application, it produces the smallest error rate with a MAPE of 5%, RMSE of 4364.63 and of 0.748274147. on 67 training data and 20 testing data.

Fuzzy Sensory Quality Certification in Intensive Organic Beekeeping

The current paper presents a fuzzy sensory quality certification of organic mint honey as a component of the strategy to promote intensive beekeeping. This sensory analysis is based on fuzzy logic that allows the processing of data represented by linguistic terms. For the development of the fuzzy sensory analysis model of bee honey, we develop a MATLAB application, with the help of which we modeled the sensory perceptions in relation to the main quality characteristics of mint honey in relation to the other varieties of honey. The sensory quality index of each honey assortment is obtained by converting qualitative assessments through linguistic terms into a set of three numerical values on a sensory scale of assessment of results with five linguistic values: unsatisfactory, satisfactory, average, good, excellent. Indices of fuzzy sensory quality associated with honey varieties are certified using a blockchain model that is an information technology that offers the opportunity to develop local markets for organic bee products.

Application of MATLAB in Higher Vocational Mathematics Teaching

Application of MATLAB in Higher Vocational Mathematics Teaching