Journal articles: 'Matlab m.file'

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Zainul Arifin and Muhammad Irwanti. "PENGARUH KEMAMPUAN MEMBUAT SIMULASI BERBASIS M-FILE TERHADAP KEMAMPUAN MEMBUAT SIMULASI GUI PADA PROGRAM MATLAB." An-Nahdlah: Jurnal Pendidikan Islam 1, no. 1 (2021): 38–43. http://dx.doi.org/10.51806/an-nahdlah.v1i1.12.

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Penelitian ini bertujuan untuk mengetahui adanya pengaruh kemampuan membuat simulasi berbasis M-file terhadap kemampuan membuat simulasi berbasis GUI (Grafical User Interface) Pada Program MATLAB di Program Studi Tadris Matematika Semester IV Tahun Pelajaran 2018/2019. Adapun analisis data, penelitian menggunakan analisis regresi linier sederhana dengan bantuan Software MINITAB untuk mengetahui ada atau tidaknya pengaruh antar variabel. Berdasarkan hasil analisis, diperoleh nilai rhitung = 20.80. Nilai ini selanjutnya dibandingkan dengan nilai rtabel dengan taraf signifikansi 5% dan diperoleh rtabel =4,10. Dari hal tersebut, diperoleh bahwa rhitung > rtabel. Hasil kemampuan simulasi M-file terdapat 10 orang mahasiswa yang kemampuan membuat simulasi M-file dalam katagori tinggi dengan presentase sebesar 27%, 27 orang mahasiswa memiliki kemampuan berbasis M-file dalam kategori sedang dengan presentase 73% dan tidak ada memiliki kemampuan rendah. Kemampuan membuat simulasi berbasis GUI terdapat 8 orang mahasiswa memiliki Hasil kemampuan berbasis GUI dalam kategori tinggi dengan presentase sebesar 22%, 29 orang mahasiswa memiliki Hasil kemampuan berbasis GUI dalam kategori sedang dengan presentase sebesar 78% dan tidak ada mahasiswa yang memiliki kemampuan berbasis GUI dalam kategori rendah. Sehingga dari hasil ini menunjukkan Ada Pengaruh Kemampuan Mahasiswa Membuat Simulasi Berbasis M-File Terhadap Kemampuan Membuat Simulasi Berbasis GUI Pada Program MATLAB

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Ding, Guo Bao, Hai Feng Xu, Cheng Yao, and Fei Gao. "Program Design Based on Communicate by PSPICE and MATLAB." Applied Mechanics and Materials 635-637 (September 2014): 1098–100. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1098.

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The Pspice which is a simulation circuit simulation software is powerful, but the graphics are still defects, and MATLAB can make up for the shortcomings. In this paper, on the basis of analyzing the characteristics of the Pspice software output file created in the MATLAB M file, the method based on multi-resolution analysis to extract the fault feature, can solve the problem of the data transmission between the two, and example verification.

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Ragan, Joseph, and Dan B. Marghitu. "Impact of a Kinematic Link with MATLAB and SolidWorks." Applied Mechanics and Materials 430 (September 2013): 170–77. http://dx.doi.org/10.4028/www.scientific.net/amm.430.170.

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The elastic impact of a free kinematic link with a surface is studied using MATLAB and SolidWorks. The differential equations of motion are developed using an elastic nonlinear contact force and a frictional force. The nonlinear equations of motion are written in an external m-file and are solved using numerical techniques. The results are checked using a simulation in SolidWorks. For the SolidWorks simulation a specific force is defined for the the elastic impact. The numerical results are obtained with the two methods are compared. The vertical elastic displacement during impact has lower values less for the frictional case.

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Raffo Lecca, Eduardo, and Edgar Ruiz Lizama. "La geometría del método Simplex y sus aplicaciones utilizando Matlab®." Industrial Data 10, no. 2 (2014): 073. http://dx.doi.org/10.15381/idata.v10i2.6449.

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El artículo revisa los conceptos de la geometría computacional aplicados al método simplex utilizando MATLAB®. Dado un modelo de programación lineal o PL, una solución factible es un vector que especifica un valor para cada variable en el problema, el cual sustituyéndolo satisface todas las restricciones; incluidas las de signo. El trabajo revisa los conceptos de la geometría computacional, el método simplex y presenta la manera de aplicar la forma gráfica a un problema PL. Se incluye archivos M-File(de MATLAB, versión 7.0). Finalmente se discuten dos casos de aplicación de un problema PL.

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Bhat, Vinayambika S., I. Thirunavukkarasu, S. Shanmuga Priya, and C. Shreesha. "Predictive Control Algorithm Based on Integral Action-Design and Implementation on a Conical Tank System." MATEC Web of Conferences 153 (2018): 06010. http://dx.doi.org/10.1051/matecconf/201815306010.

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This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.

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Ermakov, S. G., A. V. Zabrodin, A. V. Krasnovidov, and A. D. Homonenko. "INTERACTION SIMULINK-MODELS OF COMPLEX AND INTELLIGENT SYSTEMS WITH PROGRAMS IN HIGH-LEVEL LANGUAGES." T-Comm 16, no. 12 (2022): 23–31. http://dx.doi.org/10.36724/2072-8735-2022-16-12-23-31.

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The MatLab package and its extension in the form of Simulink block modeling system form a visual and effective tool for modeling complex and intelligent systems. This bundle provides one of the most effective ways to reduce the time to determine optimal parameters of control actions in the simulation. A further increase in the efficiency of modeling complex and intelligent systems can be achieved through the use of high-level programming languages. The purpose of the study is to consider the methods of interaction between MatLab and Simulink with programs in high-level languages C and C++. to improve the efficiency of the modeling process. Methods and means. Interaction between the MatLab and Simulink packages is implemented using the following methods: executing a file from the S-model window, as well as by launching the S-model from the MatLab command line or from an m-file, followed by processing the simulation results using MatLab software and C or C programming languages ++. Results. A practical implementation of the interaction of these tools (Matlab + Simulink + high-level programming languages C or C++) has been completed. Practical significance. Software implementations for creating S-functions of levels 1 and 2 are presented with a demonstration of the results of work and the implementation of S-functions in a high-level language is considered. The proposed organization of the interaction between MatLab, Simulink and C or C++ languages makes it possible to increase the system simulation efficiency.

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Špánik, Pavol, Michal Frivaldský, Jozef Čuntala, Peter Drgoňa, and Anna Simonová. "MATLAB - m-file based computation algorithm for determination of temperature distribution of electronic system." IFAC Proceedings Volumes 45, no. 7 (2012): 119–23. http://dx.doi.org/10.3182/20120523-3-cz-3015.00025.

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Bi, Ying Hua, En Yuan Dong, Guang Xiao Yin, Jia Yuan Xu, and Mei Wei Liu. "Parameter Design and Dynamic Characteristic Analysis of Magnetic Force Actuator Based on Visual Basic Interface Programming." Applied Mechanics and Materials 492 (January 2014): 227–31. http://dx.doi.org/10.4028/www.scientific.net/amm.492.227.

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In this paper, the magnetic force actuator (MFA), a new type of actuator, is applied for long stroke driving with simple structure and high reliability. Ansys and Matlab are adopted to study its static and dynamic characteristics and conduct parameter design. The static simulation concludes static magnetic field, end shield material, structure size of permanent magnet and processing deviation of the actuator, which will impact the characteristics of the actuator in varying degrees. Then the state equations describing the dynamic characteristics of MFA are solved by four-order Runge-kutta method and finite-element method. Interactive interface of the APDL-file and M-file and Macrosoft Visual Basic (VB) is designed to combine Ansys and Matlab to realize optimization design of structure parameters, which simplifies the operation methods and enhances the efficiency. The dynamic simulation results show its good work performance compared with the experiment characteristics of practical 40.5kV SF6 circuit breaker with the spring mechanism.

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Wang, Ling, Hu Ping An, Fu Yan Qi, and Tian Xing Yang. "Research on Mechanical Balance of the Beam-Pumper." Advanced Materials Research 706-708 (June 2013): 1529–32. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1529.

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The detailed analysis of mechanical balance based on beam-pumper is put forward to reduce the motor power, and save consumption. It has discussed something about the analysis of the crack balance, the walking beam balance and the composite balance. Finally, MATLAB M-file editor are used to compile the applications. The simulation results show that the program of the optimal mechanical balance method is feasible.

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Mutarraf, Umair, Kamel Barkaoui, Zhiwu Li, Naiqi Wu, and Ting Qu. "Transformation of Business Process Model and Notation models onto Petri nets and their analysis." Advances in Mechanical Engineering 10, no. 12 (2018): 168781401880817. http://dx.doi.org/10.1177/1687814018808170.

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Business Process Model and Notation is known as a widely used standard for business processes modeling. However, its main drawback is that it lacks formal semantics, leading to some undesirable properties, such as livelocks and deadlocks, such that it creates models with semantic errors. In order to formally verify them, we need to transform it onto a formal language, for example, Petri nets. The approach proposed in this article is an extension of previous approaches stated in the literature by adding probability to gateways and time to transitions. The first aim is to transform the Business Process Model and Notation process diagram onto Petri nets automatically using a developed software package. The developed software package is capable of transforming the XML file of a Business Process Model and Notation process diagram into “m” files of a Petri net. The “m” files of the Petri net are then coupled with the General Purpose Petri Net Simulator (GPenSIM) for analysis in MATLAB. The second aim is to manually transform the Business Process Model and Notation process diagram using mapping figures onto Petri nets and then analyze it using Timed Petri Net Analyzer tools. The advantage of transforming a Business Process Model and Notation diagram automatically is that we can add time to transitions and probability to gateways. Furthermore, the simulation time can be checked using MATLAB.

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Shen, Bing, Hong Zhi Zhang, Xin Yi Jiang, and Guo Shun Xu. "The Simulation Research and Analysis of Transformer with Differential Protection in Shipboard Medium Voltage Based on Matlab." Advanced Materials Research 1021 (August 2014): 181–85. http://dx.doi.org/10.4028/www.scientific.net/amr.1021.181.

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In order to ensure the safe operation of the ship in the medium-voltage grid, transformer protection is particularly important. Using Matlab/Simulink, this paper established transformer and its differential protection simulation model of the medium-voltage ship. To achieve differential protection function, this paper uses the M-file to program the differential protection S-function. The simulation results indicate that the differential protection models can achieve their protection functions and have better quick-acting and stability.

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V., Arun, and Prabaharan N. "Micro controller based asymmetrical multilevel inverter." IAES International Journal of Robotics and Automation (IJRA) 8, no. 1 (2019): 18. http://dx.doi.org/10.11591/ijra.v8i1.pp18-25.

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This paper presents the Asymmetrical multilevel inverter with 1:3 voltage propagation. Switching pulse for Asymmetrical multilevel inverter are generated using embedded controller in m-file using MATLAB. The Asymmetrical multilevel inverter with 1:3 voltage propagation can produce high quality output voltage with less number of switches and voltage sources compare to conventional multilevel inverters. Contrasting other switching schemes, the proposed Switching scheme significantly reduces the Total Harmonic Distortion (THD) and minimize switching losses and reduces the complexity. To evaluate the developed scheme, simulations are carried out through MATLAB and real time implementations are done through microcontroller ARM Cortex™-M0 Core. The simulation and hardware results are presented.

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V., Arun, and Prabaharan N. "Micro controller based asymmetrical multilevel inverter." IAES International Journal of Robotics and Automation (IJRA) 8, no. 1 (2019): 18–25. https://doi.org/10.11591/ijra.v8i1.pp18-25.

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This paper presents the Asymmetrical multilevel inverter with 1:3 voltage propagation. Switching pulse for Asymmetrical multilevel inverter are generated using embedded controller in m-file using MATLAB. The Asymmetrical multilevel inverter with 1:3 voltage propagation can produce high quality output voltage with less number of switches and voltage sources compare to conventional multilevel inverters. Contrasting other switching schemes, the proposed Switching scheme significantly reduces the Total Harmonic Distortion (THD) and minimize switching losses and reduces the complexity. To evaluate the developed scheme, simulations are carried out through MATLAB and real time implementations are done through microcontroller ARM Cortex™-M0 Core. The simulation and hardware results are presented.

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Dr., J. Sengamalaselvi*. "SOLVING TRANSPORTATION PROBLEM BY USING MATLAB." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 1 (2017): 374–81. https://doi.org/10.5281/zenodo.259588.

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In the area of Linear Programming Problem (LPP), modeling of Transportation Problem (TP) is fundamental in solving most real life problems as far optimization is concerned. MATLAB is used for treating programming of LPP, a condition referred to as M-File that can result from codes. The Paper discusses to study TP that would calculate the use of MATLAB codes using a mathematical modeling. The model develops the transportation solution for the North West Corner Rule, Least Cost Method, Vogel’s Approximation Method, and Modi method for the TP. It is clear that a lot of effort has been involved in by many researchers in inquire about of appropriate solution methods to such problem. Furthermore, analytical approach and MATLAB coding are the methods used by most researchers in the application of these efficient proposed techniques. In this paper, an equivalent MATLAB coding was written that would support in the computation of such problems with easiness especially when the problem at LPP and TP. For each model, we use a combination of analytical method and MATLAB coding to study the easiest way that would be efficient while find the solution of different problems. MATLAB is the powerful computational tool in operation research. The MATLAB coding method is better than analytical method for solving TP. This model gives us good result in Transportation problem.

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Qi, Feng He, and Ying Sun. "Study of Bifurcation and Chaos in the Current-Mode Controlled Boost DC-DC Converter." Applied Mechanics and Materials 733 (February 2015): 635–38. http://dx.doi.org/10.4028/www.scientific.net/amm.733.635.

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This paper derives bifurcation and chaos phenomena for the Boost converter under current-mode control. The precise discrete iterative mode is compiled in M file of MATLAB to obtain the bifurcation diagram, the Poincare mapping, the discrete value of output voltage and inductor current; The piecewise smooth switch model is built in Simulink of MATLAB to obtain the phase diagram and the time-domain chart. On the basis of two models, the bifurcation phenomena under variation of a range of circuit parameters including load resistance, have been investigated. Two kinds of model simulation results had the better consistency, which were proved the existence of bifurcation and chaos phenomena in the current-mode Boost converter.

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Mahgoub, Ahmed. "Analysis of AC-Induced Voltages on Finite Pipeline." Materials Performance 59, no. 8 (2020): 34–37. https://doi.org/10.5006/mp2020_59_8-34.

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The primary objective of this work was to compute the steady-state induced voltages due to inductive coupling on metallic pipelines running in close vicinity to high-voltage transmission lines. Computation of induced voltages and variations in different parameters, such as configuration of transmission lines, distance between pipeline and transmission lines, parallel length, load current, coating resistivity, right-of-way geometrical condition, and grounding characteristics of a pipeline were determined using a Matlab† M-file developed by the author.

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Hakimzadeh, Mojtaba, Reza Sedaghati, and Masoud Parhoodeh. "Using Hybrid Power Flow Controller (HPFC) to Improve Performance of Old and Existing Compensators in Power System." Advanced Materials Research 622-623 (December 2012): 1048–55. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1048.

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In this paper, a hybrid topology of FACTS devices has been investigated to improve stability features of static voltage. The primary assumption is a power system which has been located under SVC parallel compensation. HPFC forms a hybrid controller using IPFC series converters as a hybrid with existing parallel and passive compensator (SVC) in power system. Thus, simultaneous and independent control of active power flow can be reached through transmission lines and the exchanged reactive power values towards sending and receiving line. Using a hybrid structure makes the use of convertors to improve performance of the old and existing compensators in the power system possible. In this study, the power injection model (PIM) has been used to model series-parallel parts of hybrid power flow controller in Newton-Raphson load flow, and all have been simulated in M-file environment of MATLAB software. In order to investigate the effect of this controller on stability properties of static voltage, P-V curve of PQ buses of a prototype system has been evaluated in a continuous power flow (CPF) in M-file environment of MATLAB software. In the section of simulation results, SVC parallel compensation and UPFC series-parallel compensation are compared in terms of the amount of losses, active and reactive power, and improvement of the system’s loading limit with the proposed hybrid structure.

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Choi, Sangha, Wooshik Kim, and Sugjoon Yoon. "Development of an Encapsulator for Interoperability of Non-HLA Based MATLAB Programs (SIMULINK or M-file) to HLA Based Simulations." International Journal of Machine Learning and Computing 10, no. 1 (2020): 176–81. http://dx.doi.org/10.18178/ijmlc.2020.10.1.916.

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Muthmainnah, Nurul Fitri, Adnan Rafi Al Tahtawi, and Baisrum Baisrum. "Voltage Stability Control of Boost Converter Using Linear Quadratic Integrator." Journal of Fuzzy Systems and Control 1, no. 2 (2023): 39–43. http://dx.doi.org/10.59247/jfsc.v1i2.41.

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This paper proposes an optimal control design to regulate output voltage of DC/DC boost converter. Linear Quadratic Integrator (LQI) was designed by determining Q and R weighting matrices in order to minimize error output voltage on several disturbance scenarios. The state-space average model of the boost converter is generated using MATLAB/Simulink, while the controller gain is obtained using LQI function on MATLAB/M-file. We also conduct simple hardware experiment using Arduino board as the main controller. The simulation results for the two test scenarios, namely changing input condition and changing load condition show an IAE value was less than 0.2. In the hardware experiment result, the steady-state error value was less than 9.5% for the both test scenarios.

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Chen, Wei, Bao Xiang Wang, Ying Chen, Hui Juan Zhang, and Xing Li. "Using BP Neural Network to Predict the Sinter Comprehensive Performance: FeO and Sinter Yield." Advanced Materials Research 771 (September 2013): 209–12. http://dx.doi.org/10.4028/www.scientific.net/amr.771.209.

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Sinter is the main raw material for ironmaking. It is very important to control sinter chemical composition and comprehensive performance. In this paper, a predictive system for sinter chemical composition FeO and the sinter yield was established based on BP neural network, which was trained by actual production data. The MATLAB m file editor was used to write code directly in this paper.The application results show that the prediction system has high accuracy rate, stability and reliability, the sintering productivity was improved effectively.

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Lu, Xinjian. "Kinematics Analysis of Multi-link Mechanism for Miniature Servo Press Based on Matlab." MATEC Web of Conferences 207 (2018): 02006. http://dx.doi.org/10.1051/matecconf/201820702006.

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The degree of freedom for a multi-link drive mechanism of a 50kN miniature servo press was calculated. The kinematics equations of the mechanism was established based on the rod group method. The choice or design basis for rod length and some hinge points were proposed. The multi-linkage mechanism’s line segment model was constructed in SolidWorks and a set of design parameters was obtained that met the requirements. The M file of kinematic equations were wrote and calculated in Matlab and the displacement, velocity and acceleration curve of the slider were obtained. Compared with the crank-slider mechanism, the mechanism has the features of quick return, small return speed, slightly smaller speed and larger acceleration near B.D.C. Therefore, the speed and acceleration characteristics of the mechanism were inferior to the crank-slider mechanism in the case of reverse rotation and higher speed.

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Jannati, Mohammad, Nik Rumzi Nik Idris, Mohd Junaidi Abdul Aziz, and Tole Sutikno. "A Novel Method for Vector Control of Faulty Three-Phase IM Drives Based on FOC Method." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 6 (2015): 1284. http://dx.doi.org/10.11591/ijece.v5i6.pp1284-1291.

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This paper proposes a novel method for vector control of faulty three-phase Induction Motor (IM) drives based on Field-Oriented Control (FOC) method. The performance characteristics of the presented drive system are investigated at healthy and open-phase fault conditions. The simulation of the case study is carried out by using the Matlab/M-File software for a star-connected three-phase IM. The results show the better performance of the proposed drive system especially in reduction of motor speed and torque oscillations during open-phase fault operating.

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Farhang, Razi Keyvan, and Alexandre Schmid. "Epileptic Seizure Detection With Patient-Specific Feature and Channel Selection for Low-power Applications." IEEE Transactions on Biomedical Circuits and System 16, no. 4 (2022): 626–35. https://doi.org/10.5281/zenodo.8129339.

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Abstract—An accurate epileptic seizure detector using intracranial electroencephalography (iEEG) recordings, suitable for low power wearable/implantable applications, is presented. Eleven time-domain features with low hardware complexity are employed in the feature pool of the seizure detector. A novel two-step feature ranking algorithm based on maximum discrimination minimum redundancy (MDMR) is proposed to identify the most discriminating features in a patient-specific manner during a training phase. Subsequently, the top-ranked features are extracted in a two-stage energy-efficient architecture in which the second stage is activated by a controller to avoid unnecessary energy consumption imposed by multiple feature extraction during the long period of non-seizure states. The effective number of features which are continuously extracted is reduced in this work.Moreover, a patient-specific data reduction technique which selects the most informative and discriminating iEEG channels is also proposed.The presented channel selection technique reaches 68% data reduction on average for the tested patients and reduces the computational complexity. The proposed algorithm is implemented on Cyclone V FPGA of Terasic DE10-standard board. It is tested on twelve patients with shortterm and long-term seizures from the Bern Inselspital dataset. The FPGA implementation results reveal an excellent sensitivity of 100% for all patients and remarkable specificity and detection delay improvement compared to the state-of-the-art. The average dynamic power consumption is 0.49mWwhich is in the acceptable range for low-power wearable/implantable applications. In addition, a new figure-of-merit (FoM_SD) is defined to consider the major parameters of the seizure detectors. The outstanding FoM_SD of this work is 0.464 which outperforms the state-of-the-art.   Files and How to use them: In TBCAS 2022 folder, Two Matlab .m files are included. These files are related to training phase and test phase signal processing of patient ID3 from SWEC-ETHZ dataset. To run the code correctely, the file ID3_train must be run prior to runnig the ID3_test file.   In addition, the VHDL codes consists of feature extraction, and controller hardware codes. All features are extracted in a two-stage architecture managed by the controller unit. The features are selected according to the trainnig phase signal processing codes in Matlab files.

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Yao, Wan-ye, and Xue-Li Jiang. "Bearing Fault Diagnosis Based on Labview." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 3 (2015): 25–37. http://dx.doi.org/10.4018/ijapuc.2015070103.

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This function of wavelet packet decomposition and the energy of each band to strike is achieved within the Labview module. Signal energy in different frequency bands within the change reflects a change in the operating state. Extract wavelet packet energy spectrum of each band, making it as a feature vector. Finally the fault are classified by SVM. The two Parameters, the kernel function parameters g of radial machine support vector machine and penalty factor C of the radial machine support vector machine, are optimally chosen, automatically and rapidly, by using the method of particle swarm algorithm, avoiding the blindness of artificial selection parameters. The Matalab program of support vector machines based on particle swarm optimization are made into COM components. Mixed programming, Labview call COM component, generated by the M file, is implemented, which is divorced from the MATLAB environment, making it good for expanding the function of Labview. The effectiveness, wavelet packet energy spectrum - PSOSVM model of the bearing fault diagnosis, is verified.

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Hussein, Areeg F., and Hanan A. R. Akkar. "Intelligent controller Design based on wind-solar system." Engineering and Technology Journal 39, no. 2A (2021): 326–37. http://dx.doi.org/10.30684/etj.v39i2a.1761.

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This paper presents an Intelligent controller designed to mastery the output power flow from the Solar System, the Wind system, the sum of the two systems or from the battery system, according to the Maximum power point tracking algorithm, to ensure the continuity of the output power at fast time response. The proposed controller has been designed using MATLAB m-file and trained with the different number of hidden neurons using two different algorithms to get as fast a response time with minimum Mean Square Error (MSE) as possible which resulted in six hidden neurons using Levenberg-Marquardt training algorithms.

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Wan, Fu Cai, Duo Chen, and Yong Qiang Wu. "Based on Genetic Algorithm Research of Stocker Picking Shortest Path." Applied Mechanics and Materials 155-156 (February 2012): 186–90. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.186.

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This paper analyzes characteristics of automated warehouse stocker picking operating process. Path optimization problem is considered as traveling salesman problem. The coordinates of picking points by calculating determine a stocker running route. The mathematical model of a path distance is built. And using the improved genetic algorithm solves the above problem. Finally, M-file program of stocker running path optimization is written and run in MATLAB. The simulation results that, in solving stocker path optimization problem, it can search for a shortest path by genetic algorithm. Thereby enhance the efficiency of automated warehouse system, increase greater benefits of the enterprise.

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Idris Abdalla, Izzeldin, Taib Ibrahim, and Nursyarizal bin Mohd Nor. "Design Validation of a Moving-Magnet Tubular Linear Permanent Magnet Motor with a Trapezoidal Permanent Magnet Shape." Applied Mechanics and Materials 793 (September 2015): 274–79. http://dx.doi.org/10.4028/www.scientific.net/amm.793.274.

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This paper presents the design validation and optimization of a moving-magnet tubular linear permanent magnet motor (TLPMM) with a trapezoidal permanent magnets shape. The design optimization was implemented by two-dimensional Finite-Element Analysis (2-D FEA) and the validation has been established by using Matlab M-file. The proposed motor has been designed to produce 85 W output power which is enough to operate the linear reciprocating compressor of a household refrigerator system. The purpose of optimization is to achieve maximum efficiency and minimum losses, where the angle of PMs (β) and split-ratio (Rm/Re) after optimization the motor produce the highest efficiency of 93.8 %.

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Chen, Wei, Hui Juan Zhang, Bao Xiang Wang, Ying Chen, and Xing Li. "Prediction Model of the Sinter Comprehensive Performance Based on Neural Network." Advanced Materials Research 753-755 (August 2013): 62–65. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.62.

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The sinter quality and the stability of composition could directly affect the yield, quality and energy consumption of ironmaking production. It is important for iron and steel industry to steadily control sinter chemical composition and analyze sintering energy consumption. The MATLAB m file editor was used to write code directly in this paper. A predictive system for two important sinter chemical composition (TFe and FeO), sinter output and sintering solid fuel consumption of was established based on BP neural network, which was trained by actual production data.) The application results show that the prediction system has high accuracy rate, stability and reliability, the sintering productivity was improved effectively.

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Marei, Marwa M., and Manal H. Nawer. "Power losses reduction of power transmission network using optimal location of low-level generation." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5586. http://dx.doi.org/10.11591/ijece.v10i6.pp5586-5591.

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Due to the growth of demand for electric power, electric power loss reduction takes great attention for the power utility. In this paper, a low-level generation or Distributed Generation (DG) has been used for transmission power losses reduction. Karbala city transmission network (which is the case study) has been represented by using MATLAB m-file to study the load flow and the power loss for it. The paper proposed the Particle Swarm Optimization (PSO) technique in order to find the optimal number and allocation of DG with the objective to decrease power losses as possible. The results show the effect of the optimal allocation of DG on power loss reduction.

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Marwa, M. Marei, and H. Nawer Manal. "Power losses reduction of power transmission network using optimal location of low-level generation." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5586–91. https://doi.org/10.11591/ijece.v10i6.pp5586-5591.

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Due to the growth of demand for electric power, electric power loss reduction takes great attention for the power utility. In this paper, a low-level generation or distributed generation (DG) has been used for transmission power losses reduction. Karbala city transmission network (which is the case study) has been represented by using MATLAB m-file to study the load flow and the power loss for it. The paper proposed the particle swarm optimization (PSO) technique in order to find the optimal number and allocation of DG with the objective to decrease power losses as possible. The results show the effect of the optimal allocation of DG on power loss reduction.

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Chen, Wei, Bao Xiang Wang, Ying Chen, Hui Juan Zhang, and Xing Li. "Using BP Neural Network to Predict the Sinter Comprehensive Performance: TFe and Fuel Consumption." Advanced Materials Research 771 (September 2013): 213–16. http://dx.doi.org/10.4028/www.scientific.net/amr.771.213.

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The principal objective of blast furnace is to produce high quality molten iron at a high rate with a low consumption. It is very important to control sinter chemical composition and comprehensive performance. This is because the sinter is the main raw material for ironmaking. In this paper, a predictive system for sinter chemical composition TFe and the solid fuel consumption was established based on BP neural network, which was trained by actual production data. The MATLAB m file editor was used to write code directly in this paper. Practical application shows the applications of the system not only can reduce the work difficulty of technical personnel, but also can improve the hit ratio of production index and the productivity.

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Zhao, Gang, and Jian Li. "Simulation and Research for Gas Boiler Based on the Vague Set PID." Applied Mechanics and Materials 556-562 (May 2014): 2101–4. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2101.

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Gas hot water boiler is widely used as heating equipment in everyday life. Because gas hot water boiler has the characteristics of nonlinear, large inertia and disturbances, so it is particularly important to build a precise mathematical model. Then the difference equation model of the system is identified by the least square method according to the collected data in this paper. Writing M file in the MATLAB software to get the continuous transfer function, and setting up Vague Set PID simulation, fuzzy self-tuning PID simulation and conventional PID algorithm in SIMULINK. By comparing among the three kinds of adjusting method, We get that Vague Set PID not only in regulation time, overshoot and effect of dynamic performance is superior compared the other two controller models , but also enhance the robustness and adaptability of the system, has a good dynamic, static performance..

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Shokouhifar, Mohammad, and Ali Jalali. "Automatic Simplified Symbolic Analysis of Analog Circuits Using Modified Nodal Analysis and Genetic Algorithm." Journal of Circuits, Systems and Computers 24, no. 04 (2015): 1550056. http://dx.doi.org/10.1142/s0218126615500565.

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In this paper, a hybrid methodology based on modified nodal analysis (MNA) and genetic algorithm (GA) is presented for simplified symbolic small-signal analysis of analog circuits containing semiconductor devices like MOSFETs. At first, the circuit is analyzed by the MNA, and the derived exact continuous-time transfer function is automatically simplified via GA. We propose a new multi-objective criterion for symbolic simplification of continuous-time transfer functions, which can be performed by such optimization algorithms as local-search algorithms, heuristic algorithms, swarm-intelligence algorithms, etc. In this paper, GA is used to validate the proposed simplification criterion. All processes including netlist text pre-processing, symbolic analysis via MNA, post-processing, and simplification via GA are consecutively run in an m-file MATLAB program. The comparison of obtained numeric results with HSPICE demonstrates the efficiency of the proposed methodology.

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Kifayat Mammadova, Aytan Aliyeva, Kifayat Mammadova, Aytan Aliyeva, and Nigar Baghirova Nigar Baghirova. "CONSTRUCTION OF THE KINEMATIC MODEL OF ROBOTIC SYSTEMS IN THE MATLAB ENVIRONMENT." ETM - Equipment, Technologies, Materials 16, no. 04 (2023): 67–75. http://dx.doi.org/10.36962/etm16042023-67.

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Robotics has become relatively accessible with low-cost projects, but there is still a need to create models that accurately represent the robot's physical behavior. Creating a virtual platform allows us to test behavioral algorithms using artificial intelligence. In addition, it will enable us to find potential problems in the physical design of the robot. The article describes the methodology of building a kinematic model and simulation of an autonomous robot. The development of a kinematic model and its implementation using several tools are presented. The environment used for the experiment is very close to natural conditions and reflects the kinematic characteristics of the robot. As a result, the simulation of the model following the mobile robot's kinematics is executed and tested in MATLAB. As a study, the m-file creation in MATLAB, its use with the Simulink package, and the solution of the forward and inverse problem of kinematics are shown. In addition to constructing the robot body using Simulink blocks, the structure of the kinematic scheme is simulated using the Denavit-Hartenberg (DH) parameters of the robot without blocks. "Simscape" and "Robotics System Toolbox" packages simulate forward and inverse kinematics using the Simulink package, and the robot's handle and body movement are observed. In the forward kinematics problem, the readings in the Scope compare the signals received from joint one and the end effector. For the inverse kinematic problem, the parameters of the manipulator along the XYZ axes are entered using the "Signal builder" block, and the circular movement of the arm is observed. In contrast, the handle of the manipulator remains fixed at a given point. Keywords: mobile robot, kinematic model, the forward and inverse problem of kinematics, Denavit-Hartenberg parameters, joint types

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Usman, Omeiza Ahmed, Avong Patrick Ayuba, and Amough Kwembe Benjamin. "DC Motor Speed Control using Internal Model Controller: Industrial Transformation Strategy." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 300–360. https://doi.org/10.35940/ijeat.E9319.069520.

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In developed nations, industries are made to function at control engineering costs via the use of appropriate control schemes for dc motors. This paper introduces the role played by dc motors in industries thereby necessitating the analysis and performance validation of dc motor in Internal Model Control (IMC) scheme as against the Proportional– Integral–Derivative (PID) control schemes that is widely used in most industries. Theories on dc motor model, PID and IMC controller were detailed to paved the way for the methodical approach of getting specifications and transfer function for a typical dc motor (model RMCS-3011). Matlab/Simulink software was then used to tune the PID controller for the purpose of finding the values of PID gains that meets the design requirements to achieve best performance, thereby enabling the simulation of the PID controller. Using Matlab m-file environment, IMC controller transfer function was generated and simulated. The IMC controller transfer function aimed at achieving a unity gain that tracks the set-point was approximately realized. In the realization process, it was obvious that a filter is required. The aim of this work is to evaluate the performance of the IMC controller over PID controller. Simulated plots in Matlab-Simulink using the PID gains for the PID controller, and time constants and filter order for the IMC were presented. The quantitative results of the IMC method when compared with that of PID control provides a commendable performance. However, the performance in terms of rise time is small and preferred with the use of Matlab-Simulink tuned PID controller. Conclusively, IMC controller would be the preferred controller where the robustness and accuracy of the dc motor speed control counts more than faster response

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Daud, Abdel-Karim, and Sameer Khader. "Closed Loop Modified SEPIC Converter for Photovoltaic System." WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS 21 (July 5, 2022): 161–67. http://dx.doi.org/10.37394/23201.2022.21.17.

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The high static gain modified single ended primary coil (MSEPIC) converter is presented in this paper. The proposed converter presents low switch voltage and high efficiency for low input voltage and high output voltage applications. The configuration of MSEPIC converter is presented and analyzed. Closed loop feedback control with PID controller based on triggering system is developed for MSEPIC converter to maintain constant output voltage. Furthermore, the model is integrated with Photovoltaic generator where the input voltage and current depend on the solar irradiation rates. The proposed model is analyzed and simulated in Matlab/Simulink and m-file code. Simulation model is developed with a maximum power at full sun equal to 315 W, which presents efficiency equal to 99.03%. The PID controller works as intended, as the output voltage can approach the expected value. Furthermore, performance and robustness are tested by load variations and set point variations.

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Chęciński, Jakub, and Marek Frankowski. "MAGE (M-file/Mif Automatic GEnerator): A graphical interface tool for automatic generation of Object Oriented Micromagnetic Framework configuration files and Matlab scripts for results analysis." Computer Physics Communications 207 (October 2016): 487–98. http://dx.doi.org/10.1016/j.cpc.2016.06.021.

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Hijriah, Ayu, Mila Fauziyah, and Denda Dewatama. "Implementasi JST Backpropagation pada Face Recognition untuk Percepatan Proses Sistem Absensi." Jurnal Elektronika dan Otomasi Industri 1, no. 1 (2020): 14. http://dx.doi.org/10.33795/elkolind.v1i1.29.

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Sistem absensi merupakan salah satu bagian terpenting pada kegiatan yang berorientasi pada kehadiran. Karakteristik penting dari sistem absensi adalah sistemnya ringkas untuk pengguna, komputasinya cepat, tidak memerlukan peralatan tambahan bagi pengguna, dan tidak mudah untuk dimanipulasi. Skripsi ini mengakomodasi karakteristik penting tersebut dengan menerapkan face recognition. Hasil face recognition ini diharapkan dapat tercapai dengan menggunakan backpropagation JST. Proses identifikasi diawali dengan pengambilan data citra digital menggunakan kamera Logitech E1000. Selanjutnya data citra digital tersebut dibentuk dalam citra berukuran 30×30 pixel. Komputasi pengolahan data citra dilakukan dengan metode JST melalui proses pelatihan backpropagation. Sistem absensi ini didukung dengan hardware berbentuk miniatur rumah dengan fokus pada pergerakan pintu. Pintu tersebut digerakkan oleh servo yang dikontrol oleh mikrokontroller Atmega32 dan dilengkapi dengan LCD matriks agar memudahkan proses debugging. Kesuluruhan sistem mekanik dan elektrik tersebut merupakan hasil dari perintah dalam bentuk program pada sistem software. Sistem software ini terdiri bahasa C pada Codeblock & Codevision AVR dan M-File pada MATLAB. Hasil dari pengujian penelitian ini menunjukkan bahwa hasil citra

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Yang, Zhuan, and Ai Hua Dong. "Single-Phase-to-Earth Fault Detection for High Voltage Transmission Line Based on Wavelet Analysis." Advanced Materials Research 230-232 (May 2011): 559–63. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.559.

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The voltage and current signals are transient signals with singularity and mutability when single-phase-to-earth fault occurs in high-voltage transmission line, of which the singular point and mutations parts contain rich fault information. However, wavelet analysis just has the nature of singularity detection and zoom properties, which is very effective in singularity analysis and singular points location. Based on the basic principle of wavelet analysis and signal singularity detection, simulation and detection of singularity of fault voltage and current signals in high voltage transmission line are made by db5 wavelet multi-scale comprehensive analysis method. The singularity detection and calculation program are accomplished in M-file form by programming in MATLAB, the simulation results show that db5 wavelet can detect the singularity of fault signal and determine the fault occurrence and end time fast and accurately. This method enhanced accuracy and reliability of single-phase-to-earth fault detection.

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Ali, Haytem, Abdulgani Albagul, and Alhade Algitta. "OPTIMIZATION OF PID PARAMETERS BASED ON PARTICLE SWARM OPTIMIZATION FOR BALL AND BEAM SYSTEM." International Journal of Engineering Technologies and Management Research 5, no. 9 (2020): 59–69. http://dx.doi.org/10.29121/ijetmr.v5.i9.2018.289.

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This paper introduces the application of an optimization technique, known as Particle Swarm Optimization (PSO) algorithm to the problem of tuning the Proportional-Integral-Derivative (PID) controller for a linearized ball and beam control system. After describing the basic principles of the Particle Swarm Optimization, the proposed method concentrates on finding the optimal solution of PID controller in the cascade control loop of the Ball and Beam Control System. Ball and Beam control system tends to balance a ball on a particular position on the beam as defined by the user. The efficiency of Particle Swarm Optimization algorithm for tuning the controller will be compared with a classical method, Trial and Error method. The comparison is based on the time response performance. The two tuning methods have been developed by simulation study using Matlab\ m-file software. The evaluations show that Evolutionary method Particle Swarm Optimization (PSO) algorithm gives a much better response than trial and error method.

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Shri, Shaima Hamdan, and Ayad Fadhil Mijbas. "Chaotic theory incorporated with PSO algorithm for solving optimal reactive power dispatch problem of power system." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (2021): 1739. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1739-1747.

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In this paper, the chaotic particle swarm optimization (CPSO) algorithm is combined with MATPOWER toolbox and used as an optimization tool for attaining solving the optimal reactive power dispatch (RPD) problem, by finding the optimal adjustment of reactive power control variables like a voltage of generator buses (VG), capacitor banks (QC) and transformer taps (Tap) while satisfying some of equality and inequality constraints at the same time. CPSO and Simple PSO algorithms will be checked in a large system such as IEEE node -118. CPSO and Simple PSO algorithms have been implemented and simulated in the MATLAB program, version (R2013b/m-file). Then compassion these results with the results obtained in the other algorithms in the literature like the comprehensive learning particle swarm optimization (CLPSO) algorithm. The simulation results confirm that the CPSO algorithm has high efficiency and ability in terms of decrease real power losses (P loss), and improve voltage profile compared with the obtained by using the simple (PSO) algorithm and (CLPSO) at light load.

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N. Abd, Aula. "Adaptive Inverse Neural Network Based DC Motor Speed and Position Control Using FPGA." DJES 11, no. 3 (2018): 71–78. http://dx.doi.org/10.24237/djes.2018.11311.

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In this research two types of controllers are designed in order to control the speed and position of DC motor. The first one is a conventional PID controller and the other is an intelligent Neural Network (NN) controller that generate a control signal DC motor. Due to nonlinear parameters and movable laborers such saturation and change in load a conventional PID controller is not efficient in such application; therefore neural controller is proposed in order to decreasing the effect of these parameter and improve system performance. The proposed intelligent NN controller is adaptive inverse neural network controller designed and implemented on Field Programmable Gate Array (FPGA) board. This NN is trained by Levenberg-Marquardt back propagation algorithm. After implementation on FPGA, the response appear completely the same as simulation response before implementation that mean the controller based on FPGA is very nigh to software designed controller. The controllers designed by both m-file and Simulink in MATLAB R2012a version 7.14.0.

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Umashankar, S., Mandar Bhalekar, Surabhi Chandra, D. Vijayakumar, and D. P. Kothari. "Development of a New Research Platform for Electrical Drive System Modelling for Real-Time Digital Simulation Applications." Advances in Power Electronics 2013 (August 6, 2013): 1–10. http://dx.doi.org/10.1155/2013/719847.

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This paper presents the research platform for real-time digital simulation applications which replaces the requirement for full-scale or partial-scale validation of physical systems. To illustrate this, a three-phase AC-DC-AC converter topology has been used consists of diode rectifier, DC link, and an IGBT inverter with inductive load. In this topology, rectifier as well as inverter decoupled and solved separately using decoupled method, which results in the reduced order system so that it is easy to solve the state equation. This method utilizes an analytical approach to formulate the state equations, and interpolation methods have been implemented to rectify the zero-crossing errors, with fixed step size of 100 μsec is used. The proposed algorithm and the model have been validated using MATLAB simulation as m-file program and also in real-time DSP controller domain. The performance of the real-time system model is evaluated based on accuracy, zero crossing, and step size.

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Haytem, Ali, Albagul Abdulgani, and Algitta Alhade. "OPTIMIZATION OF PID PARAMETERS BASED ON PARTICLE SWARM OPTIMIZATION FOR BALL AND BEAM SYSTEM." International Journal of Engineering Technologies and Management Research 5, no. 9 (2018): 59–69. https://doi.org/10.5281/zenodo.1443549.

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This paper introduces the application of an optimization technique, known as Particle Swarm Optimization (PSO) algorithm to the problem of tuning the Proportional-Integral-Derivative (PID) controller for a linearized ball and beam control system. After describing the basic principles of the Particle Swarm Optimization, the proposed method concentrates on finding the optimal solution of PID controller in the cascade control loop of the Ball and Beam Control System. Ball and Beam control system tends to balance a ball on a particular position on the beam as defined by the user. The efficiency of Particle Swarm Optimization algorithm for tuning the controller will be compared with a classical method, Trial and Error method. The comparison is based on the time response performance. The two tuning methods have been developed by simulation study using Matlab\ m-file software. The evaluations show that Evolutionary method Particle Swarm Optimization (PSO) algorithm gives a much better response than trial and error method.

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45

Ibrahim, Ismael Alnaib, Sh. Alyozbaky Omar, and Abbawi Ali. "A NEW APPROACH TO DETECTING AND CLASSIFYING MULTIPLE FAULTS IN IEEE 14-BUS SYSTEM." Eastern-European Journal of Enterprise Technologies 5, no. 8 (107) (2020): 6–16. https://doi.org/10.15587/1729-4061.2020.208698.

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Faults in the power system generally provide considerable changes in its quantities such as under or over-power, over-current, current or power direction, frequency, impedance, and power factor. Reading data related to both currents and voltages is usually involved for detecting and situating the fault on the transmission network. These days, any outage of power in a power grid leads to heavy financial losses for commercial, industrial, and domestic consumers. Random and irregular faults in transmission grids contribute significantly to events of power outages. A significant contribution of this study is a new technique for simulating a multiple simultaneous faults model. The recommended approach is an effective technique for detection, classification and localization of faults in transmission networks of electric power. To attain this objective, a training procedure and a neural network simulation were carried out using m-file in MATLAB. A virtual bus has been proposed to analyze the fault which happens on the transmission line and bus. This technique has been applied on the IEEE 14 bus and multiple simultaneous faults have been mentioned in this study. The fault situations are simulated in m-files through the two-port network performance method, which is a highly enhanced scheme in comparison to the existing methods. The results have been arrived upon by subjecting different buses to varying types of fault. The results provide comprehensive information regarding fault current, post-fault voltages, and fault MVA on all the buses. The values at the bus for voltage, power consumption, and phase angles were specified. As suggested by the findings of the simulation, the proposed methodology is an effective technique for detection, classification and localization of faults

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Treverrow, Adam, Li Jun, and Tim H. Jacka. "Ice crystal c-axis orientation and mean grain size measurements from the Dome Summit South ice core, Law Dome, East Antarctica." Earth System Science Data 8, no. 1 (2016): 253–63. http://dx.doi.org/10.5194/essd-8-253-2016.

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Abstract. We present measurements of crystal c-axis orientations and mean grain area from the Dome Summit South (DSS) ice core drilled on Law Dome, East Antarctica. All measurements were made on location at the borehole site during drilling operations. The data are from 185 individual thin sections obtained between a depth of 117 m below the surface and the bottom of the DSS core at a depth of 1196 m. The median number of c-axis orientations recorded in each thin section was 100, with values ranging from 5 through to 111 orientations. The data from all 185 thin sections are provided in a single comma-separated value (csv) formatted file which contains the c-axis orientations in polar coordinates, depth information for each core section from which the data were obtained, the mean grain area calculated for each thin section and other data related to the drilling site. The data set is also available as a MATLAB™ structure array. Additionally, the c-axis orientation data from each of the 185 thin sections are summarized graphically in figures containing a Schmidt diagram, histogram of c-axis colatitudes and rose plot of c-axis azimuths. All these data are referenced by doi:10.4225/15/5669050CC1B3B and are available free of charge at https://data.antarctica.gov.au.

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Kareem, Shams, and Ahmed Hassoon. "Effect of Urban Heat Island on Growth Rate of the Convective Boundary Layer Over Baghdad City." Iraqi Geological Journal 56, no. 2C (2023): 289–300. http://dx.doi.org/10.46717/igj.56.2c.21ms-2023-9-27.

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Due to human activities and economic growth, in the last decades, urban expansion has increased, and it has a large role in the formation of urban heat island. Urban heat island effects natural physical properties of the air. In this study, data from satellite images included Landsat5 Landsat 9 and reanalysis data from European Centre for Medium-Range Weather Forecasts (ECMWF) by ERA5 model are implemented. ERA5 archives NetCDF file data for many hourly atmospheric elements such as temperature, wind components, sensible heat flux, boundary layer height …etc. All the files were processed by MATLAB, while satellite images processed by ArcGIS to calculate the spectral index such as Normalized difference built up index (NDBI) and supervised classification. Results of composited images and supervised classification show that there is an increase in built up area of about 23% for the periods from July-1994 to July-2022. This change in LULC will create urban heat island for Baghdad and affect heat budget near the surface that will change structure of urban boundary layer, and convective boundary layer (CBL). Near the surface there is an increase in growth rate of convective boundary layer about 0.25m/s at 7AM for July-2022, relative to 0.136 m/s for July-1994. This difference in growth rate is due to urban heat island creation and will increase CBL to about 620m in 2022 relative to 1994 at 10AM.

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Journal, Baghdad Science. "Motion Recording for Surveillance Camera." Baghdad Science Journal 7, no. 2 (2010): 1070–75. http://dx.doi.org/10.21123/bsj.7.2.1070-1075.

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In this paper we present an operational computer vision system for real-time motion detection and recording that can be used in surveillance system. The system captures a video of a scene and identifies the frames that contains motion and record them in such a way that only the frames that is important to us is recorded and a report is made in the form of a movie is made and can be displayed. All parts that are captured by the camera are recorded to compare both movies. This serves as both a proof-of- concept and a verification of other existing algorithms for motion detection. Motion frames are detected using frame differencing. The results of the experiments with the system indicate the ability to minimize some of the problems false detection and missed detections (like in a sudden change of light in the scene). The software part is written in Matlab language as an M-file and using the Simulink library, the hardware part we used a Pentium 4 computer with a web camera or a laptop integrated camera.

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Na'am, Jufriadif, Johan Harlan, Sarifuddin Madenda, Julius Santony, and Catur Suharinto. "Detection of Proximal Caries at The Molar Teeth Using Edge Enhancement Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3259. http://dx.doi.org/10.11591/ijece.v8i5.pp3259-3266.

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Panoramic X-Ray produces produces the most common oral digital radiographic image that it used in dentistry practice. The image can further improve accuracy compared to analog one. This study aims to establish proximal caries edge on enhancement images so they can be easily recognized. The images were obtained from the Department of Radiology, General Hospital of M. Djamil Padang Indonesia. Total file of images to be tested were 101. Firstly, the images are analyzed by dentists who practiced at Segment Padang Hospital Indonesia. They concluded that there is proximal caries in 30 molar teeth. Furthermore, the images were processed using Matlab software with the following steps, i.e. cropping, enhancement, edge detection, and edge enhancement. The accuracy rate of detection of edge enhancement images being compared with that of dentist analysis was 73.3%. In the edge enhancement images proximal caries edge can be found conclusively in 22 teeth and dubiously in eight teeth. The results of this study convinced that edge enhancement images can be recommended to assist dentists in detecting proximal caries.

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Djalal, Muhammad Ruswandi, and Imam Robandi. "Pemodelan Peramalan Beban pada System Sulselrabar Menggunakan Tipe-2 Logika Fuzzy." Jurnal Teknologi Elekterika 19, no. 2 (2022): 89. http://dx.doi.org/10.31963/elekterika.v6i2.3751.

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Penelitian ini mengusulkan pendekatan pemodelan untuk peramalan beban jangka pendek 24 jam berdasarkan logika fuzzy tipe-2. Dalam penelitian ini didapatkan suatu pendekatan dalam merancang model peramalan beban, dimana sebelumnya masih menggunakan logika fuzzy konvensional. Implementasi peramalan beban pada penelitian ini dilakukan pada sistem kelistrikan 150 kV Sulselrabar. Sistem kelistrikan Sulselrabar dalam perkembangannya mengalami perkembangan yang pesat, oleh karena itu diperlukan suatu penelitian yang dapat meningkatkan performansi sistem tersebut, salah satunya adalah studi peramalan beban jangka pendek. Sebagai data input digunakan data beban dari tahun 2010 sampai dengan tahun 2016 pada hari yang sama yaitu tanggal 8 Januari. Untuk melihat keakuratan hasil, dilakukan dua pendekatan, yaitu logika fuzzy tipe-1 yang dimodelkan menggunakan Simulink dan logika fuzzy tipe-2 dengan menggunakan m-file Matlab. Dari hasil analisis diperoleh Mean Percentage Error (MAPE) paling kecil dengan menggunakan metode Fuzzy Logic Type-2, dibandingkan dengan metode Fuzzy Logic Type-1. Dimana, MAPE untuk metode fuzzy logic tipe-1 adalah 2.1%, dan dengan menggunakan metode logika fuzzy tipe-2, MAPE adalah 1.7%.

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Journal articles on the topic 'Matlab m.file'

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