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Journal articles on the topic 'Microprocessor Trainer'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Tin Mar Kyi. "Implementation Of User Interface For Microprocessor Trainer." International Journal of Information Technology Convergence and Services 1, no. 4 (2011): 45–55. http://dx.doi.org/10.5121/ijitcs.2011.1405.

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Isnaini, Muhammad, Harvei Desmon Hutahaean, Bakti Dwi Waluyo, Muhammad Dani Solihin, and Muhammad Sulaiman. "PENGEMBANGAN TRAINER SISTEM MIKROPROSESOR BERBASIS INTERNET OF THINGS." Jurnal Teknologi Pendidikan (JTP) 17, no. 2 (2025): 96–102. https://doi.org/10.24114/jtp.v17i2.65187.

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Abstrak: Penelitian ini bertujuan untuk merancang dan mengembangkan alat pembelajaran berbasis mikroprosesor yang didukung oleh teknologi Internet of Things (IoT) di program studi Pendidikan Teknik Elektro, Fakultas Teknik, Universitas Negeri Medan. Alat ini dirancang untuk membantu mahasiswa memahami integrasi mikroprosesor dengan IoT, yang semakin relevan dalam konteks revolusi industri 4.0. Penelitian menggunakan metode Research and Development (R&D) dengan pendekatan ADDIE, yang mencakup tahap Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi. Trainer ini menggunakan modul Nod

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Isnaini, Muhammad, Harvei Desmon Hutahaean, Bakti Dwi Waluyo, Muhammad Dani Solihin, and Muhammad Sulaiman. "PENGEMBANGAN TRAINER SISTEM MIKROPROSESOR BERBASIS INTERNET OF THINGS." Jurnal Teknologi Pendidikan (JTP) 17, no. 2 (2024): 96. http://dx.doi.org/10.24114/jtp.v17i2.64904.

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Abstrak: Penelitian ini bertujuan untuk merancang dan mengembangkan alat pembelajaran berbasis mikroprosesor yang didukung oleh teknologi Internet of Things (IoT) di program studi Pendidikan Teknik Elektro, Fakultas Teknik, Universitas Negeri Medan. Alat ini dirancang untuk membantu mahasiswa memahami integrasi mikroprosesor dengan IoT, yang semakin relevan dalam konteks revolusi industri 4.0. Penelitian menggunakan metode Research and Development (R&D) dengan pendekatan ADDIE, yang mencakup tahap Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi. Trainer ini menggunakan modul Nod

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Jenaro, Deva Feggantara Pakshi, Edy Sulistyo, Agus Budi Santosa, and Arif Widodo. "PENGEMBANGAN MEDIA TRAINER PINTU OTOMATIS DENGAN SENSOR ULTRASONIK, RFID, DAN PIR BERBASIS ARDUINO PADA MATA PELAJARAN MIKROPROSESSOR DAN MIKROKONTROLER KELAS X DI SMKN 1 DRIYOREJO." Jurnal Pendidikan Teknik Elektro 10, no. 03 (2021): 11–18. http://dx.doi.org/10.26740/jpte.v10n03.p11-18.

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This research is based on the results of observations at SMKN 1 Driyorejo and the problem is that there is no trainer as a practicum tool for students. For this reason, there is a need for learning media that can make students learn independtly. This study aims to (1) to know the eligibility of the automatic door sensor trainer in the microprocessor and microcontroller subjects, (2) Get eligibility automatic door sensor worksheets on microprocessor and microcontroller subjects, (3) find out how much students response about automatic door trainers and jobshets given in Microprosessor and Mikcro

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Bushra, Naz Shahzad Hyder Dr. M.A Unar Syed Naveed Ahmad Jaffari. "Design & Development of A Simulator For Microprocessor Application Trainer ( MATSOFT385)." International Journal of Engineering Works 1, no. 2 (2014): 45–47. https://doi.org/10.5281/zenodo.15749.

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MATSOFT385 is the creation of a flexible framework that is competent of providing real-time simulation and visualization services for users moving in the computational field of &bdquo;Microprocessor‟ (µP). The most interesting aspect of this system is that learn the art of programming in machine language with the awareness of design and debugging techniques, etc. mounted on an elegant cabinet. It is the system that enables the students at home or at their personnel PCs to get same ability and knowledge as hardware kit gives. The attribute which differentiate with other systems is that it

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Muramatsu, Kazuhiro. "Offline and Online Practices for Assembly Language Programming with 8085 Microprocessor." European Conference on e-Learning 21, no. 1 (2022): 272–78. http://dx.doi.org/10.34190/ecel.21.1.850.

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The COVID-19 pandemic has meant that distance teaching and learning at educational institutions since 2020 has become common place. The Ministry of Education in Bhutan has taken the initiative to educate students using learning television and Internet-based online education instead of traditional classes. Thus, the Royal University of Bhutan (RUB) and its ten constituent colleges have been swift in transitioning to online teaching through Moodle and varieties of other applications such as ZOOM, Big Blue Button and Google classroom since March 2020. Since then, offline and online blended teachi

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Satrinawati, Satrinawati, Dedy Irfan, and Efrizon Efrizon. "Augmented Reality-Based Programming Using Atmega 2560 Microcontroller Trainer Kit Support." Jurnal Teknologi Informasi dan Pendidikan 15, no. 2 (2023): 110–21. http://dx.doi.org/10.24036/jtip.v15i2.670.

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The application of an augmented reality system to the Atmega 2560 microcontroller trainer kit is a tool designed to create learning methods that are interactive, fun, motivating, and provide space for students to develop creativity and independence. This research uses research and development (R&D) methods. This research and development consists of a preliminary study stage, needs analysis, design, manufacture, testing of tool specifications and the final stage is product evaluation with expert opinion. The development of this microcontroller trainer kit has three main parts, namely the mi

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Lovely, D. F., T. W. Hruczkowski, and R. N. Scott. "A microprocessor based trainer for both single-site and two-site myoelectric prostheses." Journal of Microcomputer Applications 11, no. 1 (1988): 31–45. http://dx.doi.org/10.1016/0745-7138(88)90022-x.

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9

Arman, Muhammad, Wirenda Sekar Ayu, Sugiyarto Sugiyarto, et al. "Temperature Monitoring and Control System Prototype on Raspberry Pi 3 B+ Based Refrigeration Trainer." Jurnal Otomasi Kontrol dan Instrumentasi 16, no. 1 (2024): 1–8. http://dx.doi.org/10.5614/joki.2024.16.1.1.

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A refrigeration trainer is a working model of an existing system intended to support student learning in the characterization of refrigeration systems, especially their temperature profile. There are many ways to monitor temperature in refrigeration trainers, such as by implementing a temperature monitoring and control system based on Raspberry Pi 3 B +. This project uses the DS18B20 sensor and Raspberry Pi 3 B+ microprocessor. This system has various features such as temperature monitoring, on/off control for fans and compressors, online and offline data storage, and remote control. After 4 h

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Sulistiyo, E., NRH Meduri, F. Achmad, SC Wibawa, and G. Spoettï. "The Development of Analog and Digital Trainer Base on Arduino Uno in Microprocessor Programming Subjects." IOP Conference Series: Materials Science and Engineering 1125, no. 1 (2021): 012077. http://dx.doi.org/10.1088/1757-899x/1125/1/012077.

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Evans, L. M., and D. Owens. "Enhancement of a low-fidelity surgical simulator. Is it possible?" Journal of Laryngology & Otology 135, no. 2 (2021): 179–81. http://dx.doi.org/10.1017/s0022215120002613.

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AbstractBackgroundSimulation training has become a core component in the training of ENT surgeons. It provides the opportunity for the repetitive practice of a surgical technique. Simulators are broadly categorised into low- and high-fidelity simulators. A method using a home microprocessor to enhance a low-fidelity surgical simulator is introduced.MethodThe Yorick tonsil tie trainer was enhanced using an Arduino microcontroller attached to the simulated inferior pole of the tonsil. The Arduino was coded to give a visual stimulus when linear motion exceeded parameters. The prototype simulator

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Tahir, Hidayat, Syahrir Abdussamad, and Iskandar Zulkarnain Nasibu. "Rancangan Catu Daya Cadangan SRAM Pada Z80 Trainer." Jambura Journal of Electrical and Electronics Engineering 3, no. 1 (2021): 19–22. http://dx.doi.org/10.37905/jjeee.v3i1.8338.

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Z80 Trainer banyak digunakan dalam praktikum maupun alat bantu peraga terkait pembelajaran mikroprosesor. Dalam penggunaannya, Z80 Trainer menggunakan keypad untuk menulis kode sumber secara manual dan selanjutnya disimpan dalam memori secara volatile. Masalah yang sering terjadi adalah putusnya pasokan daya ke Z80 Trainer sehingga program yang telah ditulis tidak tersimpan dan harus ditulis kembali. Penelitian ini ditujukan untuk merancang dan mengontrol catu daya cadangan untuk SRAM di Z80 Trainer menggunakan baterai, yang mampu mendeteksi terputusnya suplai daya dari tegangan listrik PLN un

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Juanda, Enjang Akhmad, Nurul Wahidah, M. Khairudin, and Z. Mohamed. "Implementation of a Raspberry Pi Trainer for the Subject of Microprocessors and Microcontrollers in Vocational High Schools." Jurnal Pendidikan Teknologi dan Kejuruan 24, no. 1 (2018): 147–54. http://dx.doi.org/10.21831/jptk.v24i1.18428.

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A Raspberry Pi Trainer is a tool which is able to support and facilitate the learning process of the subject of microprocessors and microcontrollers. The objective of this study was to find out the process and the results of the implementation of a Raspberry Pi Trainer for the subject of microprocessors and microcontrollers in the expertise program of industrial electronics in vocational high schools. This study used a qualitative method. The descriptive data were resulted from the observed students’ behavior in the form of the research informants’ activities covering the domains of cognitive,

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Renteria-Cedano, Juan, Jorge Rivera, F. Sandoval-Ibarra, Susana Ortega-Cisneros, and Raúl Loo-Yau. "SoC Design Based on a FPGA for a Configurable Neural Network Trained by Means of an EKF." Electronics 8, no. 7 (2019): 761. http://dx.doi.org/10.3390/electronics8070761.

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This work presents a configurable architecture for an artificial neural network implemented with a Field Programmable Gate Array (FPGA) in a System on Chip (SoC) environment. This architecture can reproduce the transfer function of different Multilayer Feedforward Neural Network (MFNN) configurations. The functionality of this configurable architecture relies on a single perceptron, multiplexers, and memory blocks that allow routing, storing, and processing information. The extended Kalman filter is the training algorithm that obtains the optimal weight values for the MFNN. The presented archi

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Polyuschenkov, I. S. "Model-based programming as a technique of electromechanical engineer." Vestnik IGEU 1 (February 28, 2023): 60–70. http://dx.doi.org/10.17588/2072-2672.2023.1.060-070.

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Modern electric drives with microprocessor control are complex technical systems with software that ensures the coordination of various physical processes for automatic motion control. At the same time, electromechanical engineers have a little knowledge about modern microprocessor technology, expressive and convenient programming languages, as well as modern software development and debugging technologies. Thus, it is difficult for them to develop electric drives independently. In addition, there is a professional gap between electromechanical engineers and programmers, which keeps them from

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HAN, Chengmin, Lidong MIAO, Xin MA, Xinqiang WANG, Xiaobing ZHANG, and Zhenyu WANG. "Design of Electromagnetic Brake Controller based on Accelerometer." Journal of Scientific and Engineering Research 10, no. 6 (2023): 8–17. https://doi.org/10.5281/zenodo.10462462.

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<strong>Abstract </strong>An electromagnetic brake controller based on accelerometer applied to trailer-mounted RV is designed, which uses acceleration as the control target for braking force control. The brake controller uses Freescale microprocessor MC9S08FL8 as the main control chip, which receives data such as tractor brake signals and acceleration signals, processes and analyzes, controls the output of trailer-mounted RVs and distributes braking torque to achieve synchronous braking and differential braking. In addition, the brake controller can switch between manual control mode and auto

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Andreev, O. N., and A. L. Slavutskiy. "Neural Network Hardware and Software Real Time Control of Electrical Signals Phase Shift." Vestnik IzhGTU imeni M.T. Kalashnikova 26, no. 2 (2023): 76–84. http://dx.doi.org/10.22213/2413-1172-2023-2-76-84.

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Artificial neural networks are increasingly being used in the intelligent electric power industry. Smart grids are the key components of digital economy. The work purpose is to show the possibility of using a simple architecture neural network in the appropriate microprocessor engineering for improvement such microprocessor device characteristics as reducing the device reaction time, increasing the decision-making accuracy in the accident and the ability to more accurate localization of the accident site. This reduces the negative accident consequences, time of determination of the accident lo

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Andreev, Oleg N., Vyacheslav V. Andreev, Nataliya V. Russova, and Aleksandr L. Slavutskiy. "MONITORING OF NON-STATIONARY SIGNALS WITH MINIMAL DELAY: NEURAL NETWORK IMPLEMENTATION." Vestnik Chuvashskogo universiteta, no. 2 (June 25, 2024): 5–14. http://dx.doi.org/10.47026/1810-1909-2024-2-5-14.

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In electrical and power engineering, Fourier transform algorithms are widely used to analyze current and voltage signals. This leads to a time delay in determining the parameters, which is at least the period of the industrial frequency signal. For a number of tasks, it is relevant to determine the parameters of non-stationary signals with minimal delay. The purpose of the study is to show the possibility of the signals parameters monitoring over a time interval in a fraction of the period of industrial frequency based on the microprocessor implementation of neural network algorithms. Material

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Schery, Teris K., and Lisa C. O’Connor. "The Effectiveness of School-Based Computer Language Intervention With Severely Handicapped Children." Language, Speech, and Hearing Services in Schools 23, no. 1 (1992): 43–47. http://dx.doi.org/10.1044/0161-1461.2301.43.

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Fifty-two severely handicapped children were trained on communication skills using microprocessor technology. A graduate student in Communication Disorders provided interactive supervision during the training. One-way analyses of covariance indicated positive effect for the additional computer language training when compared to regular classroom training alone. Effects were strongest on a direct criterion-referenced measure of the vocabulary taught. A cluster of more general language measures taken by the researchers, classroom teachers, and parents also indicated benefit to the computer enhan

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Rodríguez-Vázquez, Edgar, Agustín Hernández-Juárez, Audberto Reyes-Rosas, Carlos Patricio Illescas-Riquelme, and Francisco Marcelo Lara-Viveros. "Detection and Early Warning of Duponchelia fovealis Zeller (Lepidoptera: Crambidae) Using an Automatic Monitoring System." AgriEngineering 6, no. 4 (2024): 3785–98. http://dx.doi.org/10.3390/agriengineering6040216.

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In traditional pest monitoring, specimens are manually inspected, identified, and counted. These techniques can lead to poor data quality and hinder effective pest management decisions due to operational and economic limitations. This study aimed to develop an automatic detection and early warning system using the European Pepper Moth, Duponchelia fovealis (Lepidoptera: Crambidae), as a study model. A prototype water trap equipped with an infrared digital camera controlled using a microprocessor served as the attraction and capture device. Images captured by the system in the laboratory were p

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Hillock, MD, Ronald, Danny Tatum, BCP, and Edward Dolegowski, PT. "Osseointegration Implant Post Coupling With External Prosthetic Limb – Continuation of Previous Case Reports “Stage III”." Reconstructive Review 4, no. 2 (2014): 13–16. http://dx.doi.org/10.15438/rr.v4i2.68.

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An ongoing update of the progress case report for the first patient treated with the Longitude™ osseointegration prosthesis implanted in an amputated residual femur is presented. The patient was given an intensive physical therapy program of strengthening and conditioning in anticipation of coupling to the external prosthesis. A custom prosthesis was fabricated based on the Plie’ 2.0 microprocessor knee system. The patient was then successfully trained on use and care of the prosthesis for ambulation without any complications.Keywords: Amputation, OsseointegrationAcknowledgement: Design concep

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Rizwan, Raffay, Jehangir Arshad, Ahmad Almogren, et al. "Implementation of ANN-Based Embedded Hybrid Power Filter Using HIL-Topology with Real-Time Data Visualization through Node-RED." Energies 14, no. 21 (2021): 7127. http://dx.doi.org/10.3390/en14217127.

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Electrical power consumption and distribution and ensuring its quality are important for industries as the power sector mandates a clean and green process with the least possible carbon footprint and to avoid damage of expensive electrical components. The harmonics elimination has emerged as a topic of prime importance for researchers and industry to realize the maintenance of power quality in the light of the 7th Sustainable Development Goals (SDGs). This paper implements a Hybrid Shunt Active Harmonic Power Filter (HSAHPF) to reduce harmonic pollution. An ANN-based control algorithm has been

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Boubin, Matthew, and Sudhir Shrestha. "Microcontroller Implementation of Support Vector Machine for Detecting Blood Glucose Levels Using Breath Volatile Organic Compounds." Sensors 19, no. 10 (2019): 2283. http://dx.doi.org/10.3390/s19102283.

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This paper presents an embedded system-based solution for sensor arrays to estimate blood glucose levels from volatile organic compounds (VOCs) in a patient’s breath. Support vector machine (SVM) was trained on a general-purpose computer using an existing SVM library. A training model, optimized to achieve the most accurate results, was implemented in a microcontroller with an ATMega microprocessor. Training and testing was conducted using artificial breath that mimics known VOC footprints of high and low blood glucose levels. The embedded solution was able to correctly categorize the correspo

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Benyeogor, Mbadiwe S., Andrew O. Benyeogor, Kabiru A. Olaiya, and Prosper Agumey. "Advancing Embedded Systems Education: A Pedagogical Programming Framework for Smart System and Control Applications." SPC Journal of Education 5, no. 1 (2024): 1–22. https://doi.org/10.14419/bd56p317.

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This article introduces a pedagogical framework incorporating a curriculum and conceptual examples, specifically tailored to the need of embedded systems technology instructors The curriculum covers crucial subjects such as hardware and software fundamentals, programming languages, sensors integration, motion control, and their practical applications. It emphasizes hands-on training, project-based learning, and problem-solving to foster a holistic understanding of embedded systems. The curriculum is designed to cater to embedded systems training centers globally, addressing the growing demand

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Syaiful, Muhammad. "PEMANFAATAN MODUL ARDUINO UNTUK MENINGKATKAN HASIL BELAJAR MIKROPROSESOR KELAS XI ELIN DI SMKN 4 PARIAMAN." Hexatech: Jurnal Ilmiah Teknik 1, no. 01 (2022): 34–38. http://dx.doi.org/10.55904/hexatech.v1i01.74.

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This event will be based on research by the learning outcomes of students who have not yet reached the KKM on subjects of microprocessors in the class XI ELIN SMK Negeri 4 Pariaman. One of the factors that influence student learning outcomes is low yet the availability of media trainers used as alternatives in learning. Therefore it needs to be done by applying the research module the arduino to see the results of student learning. This type of research was Quasi Experimental design with One Group Pretest-Posttest. The subject of this research is on grade XI ELIN SMK Negeri 4 Pariaman are regi

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Vyngra, Alexey, and Sergei Chernyi. "Models of power quality improvement devices based on neural networks." Robotics and Technical Cybernetics 12, no. 4 (2024): 253–60. https://doi.org/10.31776/rtcj.12402.

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The paper examines aspects of the use of neural networks to improve the quality of electricity based on an active filter controller. An extensive analysis of power quality (PQ) indicators and existing PQ enhancement systems and devices was carried out. Modern domestic and foreign works devoted to research in the field of design and imple-mentation of active filters, development of algorithms for generating a compensating signal of an active filter are considered. Aspects of the development of control systems based on neural networks are analyzed. As a result of the analysis, a simulation model

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27

Elder, B. Leon, Carolyn D. Harris, and C. Mazie Knerr. "Remedial Computer-Based Testing and Training for M1 Tank Commanders." Proceedings of the Human Factors Society Annual Meeting 30, no. 14 (1986): 1452–55. http://dx.doi.org/10.1177/154193128603001425.

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The Training Technology Field Activity (TTFA) at Ft. Knox applies recent developments in technology to meet the training needs of M1 tank commanders. The training includes computer-based instruction to provide remedial training in prerequisite skills. The instruction applies recent advancements in video technology using a state-of-the-art CBI authoring and delivery system. Self administered, microprocessor-based, videodisc supported, testing and instructional courseware was developed for a selected set of remedial tasks for a tank commander course. Training methods were tailored to the charact

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28

Ashford, Matthew, and Laura Swettenham. "A Reflective Account of Delivering Multilevel Sport Psychology Support in Professional League of Legends." Case Studies in Sport and Exercise Psychology 8, S1 (2024): S1–1—S1–8. http://dx.doi.org/10.1123/cssep.2023-0024.

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This case study follows the journey of a trainee sport and exercise psychologist who provided sport psychology support to a top-tier professional League of Legends team across a competitive season. The purpose of this case study is to highlight some of the pertinent professional and contextual demands associated with the process of embedding a three-level (e.g., individual, team, and coach) sport psychology service at the professional level of esports. Specifically, a detailed account of the microprocesses involved in the design and delivery of the sport psychology support is offered along wit

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Paraskevoudis, Konstantinos, Panagiotis Karayannis, and Elias P. Koumoulos. "Real-Time 3D Printing Remote Defect Detection (Stringing) with Computer Vision and Artificial Intelligence." Processes 8, no. 11 (2020): 1464. http://dx.doi.org/10.3390/pr8111464.

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This work describes a novel methodology for the quality assessment of a Fused Filament Fabrication (FFF) 3D printing object during the printing process through AI-based Computer Vision. Specifically, Neural Networks are developed for identifying 3D printing defects during the printing process by analyzing video captured from the process. Defects are likely to occur in 3D printed objects during the printing process, with one of them being stringing; they are mostly correlated to one of the printing parameters or the object’s geometries. The defect stringing can be on a large scale and is usuall

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FOMIN, ALEKSANDR YU. "AUGMENTED REALITY OF EMULATING TERRAIN AND EMERGENCY SITUATIONS IN FARM MACHINERY SIMULATORS." Agricultural engineering, no. 4 (2022): 64–68. http://dx.doi.org/10.26897/2687-1149-2022-4-64-68.

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The practical skills of agroengineers include the skills of operating technical means used in the agricultural sector. The variety of brands and modifications of training simulators and their functionality creates difficulties in obtaining the full range of skills required fror operating transport and technological machines. To expand the practical skills of students, the authors conducted analytical and patent studies of training simulators. As a result, they present a simulator using the technology of augmented reality terrain emulation, which can simulate dynamic force effects on the vehicl

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Niño-Rondón, Carlos-Vicente, Diego-Andrés Castellano-Carvajal, Sergio-Alexander Castro-Casadiego, Byron Medina-Delgado, and Karla-Cecilia Puerto-López. "HASCC: A Hybrid Algorithm for Skin Cancer Classification." Revista Facultad de Ingeniería 33, no. 67 (2024): e16943. https://doi.org/10.19053/uptc.01211129.v33.n67.2024.16943.

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Skin cancer is a dangerous and potentially lethal disease that is steadily increasing worldwide. Signs of skin cancer may include changes in the appearance of moles or the emergence of new spots on the skin. Early detection is crucial, as many types of skin cancer respond well to treatment when addressed in the early stages. Computer-aided diagnostic tools are employed to aid in the diagnosis of this disease. This article introduces HASCC, a hybrid algorithm implemented through a graphical user interface for skin cancer classification. The algorithm integrates image processing, feature extract

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Kartashov, S. G., and E. M. Klychev. "Method for preparation of feed drug mixtures with anthelmintics." Russian Journal of Parasitology 12, no. 1 (2018): 70–75. http://dx.doi.org/10.31016/1998-8435-2018-12-1-70-75.

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The purpose of the research: to develop an innovative method for simultaneous single-stage preparation of feed drug mixtures and a technological scheme for implementation of this method. Materials and methods. The innovative method of simultaneous single-stage preparation of feed drug mixtures from filling compound (grinded grain forage) containing anthelmintics is developed. Technical means used for implementation of this method include a loading track, robotic discharger, mobile dosage device, robotic depanner, blender and a mixer. The work cycle begins when the robotic depanner is switched

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Kurochkin, Sergey V. "The analysis of principles of continuously variable transmission of tractors." Tractors and Agricultural Machinery 90, no. 1 (2023): 33–38. http://dx.doi.org/10.17816/0321-4443-119948.

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BACKGROUND:Modern agricultural activity requires the use of hightech equipment such as, in particular, a multifunctional tractor, which, according to actual trends, should be an autonomously controlled mobile power plant. In modern tractors, meeting current requirements, multiflow shaft-planetary gearboxes with cumulative effect are used. AIMS:Comparison of the operation principles of two types of automatic tractor transmissions: with hydrostatic drive and with electromechanical drive. METHODS:During the research, a literature review of printed and online publications with technica

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Park, Chaewoon, Seongjoo Lee, and Yunho Jung. "FPGA Implementation of Pillar-Based Object Classification for Autonomous Mobile Robot." Electronics 13, no. 15 (2024): 3035. http://dx.doi.org/10.3390/electronics13153035.

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With the advancement in artificial intelligence technology, autonomous mobile robots have been utilized in various applications. In autonomous driving scenarios, object classification is essential for robot navigation. To perform this task, light detection and ranging (LiDAR) sensors, which can obtain depth and height information and have higher resolution than radio detection and ranging (radar) sensors, are preferred over camera sensors. The pillar-based method employs a pillar feature encoder (PFE) to encode 3D LiDAR point clouds into 2D images, enabling high-speed inference using 2D convol

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Lahre, Jyoti, S. K. Satpathy, Bhavesh Sukdeve, Utkarsh Dwivedi, and Bharath Kumar Komatineni. "Development of Mechatronics-based Self-propelled Intra-Row Weeder." Journal of Experimental Agriculture International 46, no. 7 (2024): 497–516. http://dx.doi.org/10.9734/jeai/2024/v46i72603.

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Background: This research presents a significant stride in precision agriculture, focusing on the development and field evaluation of a self-propelled intra-row weeder engineered using mechatronics and machine learning. The study was motivated by the need for labor-efficient and environmentally friendly weed control methods, as conventional techniques pose various challenges. Methodology: The intra-row weeder, equipped with a crop detection and avoidance system, was developed using a sensor, servo motor, encoder, weeding tool, and a microprocessor (Arduino Uno). A crop detection and avoidance

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Vorobiov, Bohdan, Serhii Senchenko, Vadym Rybakov, Yaroslav Likhno, and Liu Khan. "OPTIMIZATION OF THE DC MOTOR MODEL COMPLEXITY LEVEL SELECTION FOR THE SYSTEM USING A NEURAL NETWORK." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 2(16) (July 4, 2023): 33–41. http://dx.doi.org/10.20998/2413-4295.2023.02.05.

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A mathematical and computer model of the torque control system of a DC motor with independent excitation was built using the NARMA 2 neurocontroller. NARMA - a nonlinear moving average autoregressive model is one of the basic structures of a discrete and nonlinear model. The task was to conduct a comparative analysis of the operation of the neurocontroller-based control system using plant model of varying complexity. For the experiment, three models of the object were built with different degrees of detail, and therefore the reliability of the object. The full model includes an independently e

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Agrawal, Vibhor, Robert Gailey, Christopher O’Toole, Ignacio Gaunaurd, and Adam Finnieston. "Influence of gait training and prosthetic foot category on external work symmetry during unilateral transtibial amputee gait." Prosthetics and Orthotics International 37, no. 5 (2013): 396–403. http://dx.doi.org/10.1177/0309364612473501.

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Background:Prosthetic foot prescription guidelines lack scientific evidence and are concurrent with an amputee’s concurrent with an amputee’s Medicare Functional Classification Level (K-Level) and categorization of prosthetic feet.Objective:To evaluate the influence of gait training and four categories of prosthetic feet (K1, K2, K3, and microprocessor ankle/foot) on Symmetry in External Work for K-Level-2 and K-Level-3 unilateral transtibial amputees.Design:Randomized repeated-measures trial.Methods:Five K-Level-2 and five K-Level-3 subjects were tested in their existing prosthesis during Ses

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Darshan, G., Bilki Rahul, S. Sheerayada Supraj, P. H. Gajendra, and N. D. Tejaswini. "Smart Basket Integration with Shopping Behavior Analysis." Journal of Advanced Research in Artificial Intelligence & It's Applications 2, no. 2 (2025): 30–44. https://doi.org/10.5281/zenodo.15123658.

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<em>In this modernized society, people have become used to shopping, where individuals go to purchase their day-to-day essential items and furthermore need to pay for that they need to remain at a charging counter for quite a long time and again it’s a rushed interaction, on the other hand, people are less likely to remember what they actually need, they often miss out the relevant products to buy, at the same time the retailers usually lack in predicting the trends to manage their inventory that leads to wastage of products. So we will propose a “SMART SHOPPING BASKET AND SHOPPING

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Berghout, Tarek, Mohamed-Djamel Mouss, Leïla-Hayet Mouss, and Mohamed Benbouzid. "ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight Conditions." Aerospace 10, no. 1 (2022): 10. http://dx.doi.org/10.3390/aerospace10010010.

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Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adaptive deep transfer learning methodologies, strengthened with robust feature engineering. Initially, data engineering encompassing: (i) principal component analysis (PCA) dimensionality reduction; (ii) feature selection using correlation analysis; (iii) denoising with empirical Bayesian Cauchy prior wavelets; and (iv) feature scaling is used to o

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Kang, Jiheon, and Doo-Seop Eom. "Offloading and Transmission Strategies for IoT Edge Devices and Networks." Sensors 19, no. 4 (2019): 835. http://dx.doi.org/10.3390/s19040835.

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We present a machine and deep learning method to offload trained deep learning model and transmit packets efficiently on resource-constrained internet of things (IoT) edge devices and networks. Recently, the types of IoT devices have become diverse and the volume of data has been increasing, such as images, voice, and time-series sensory signals generated by various devices. However, transmitting large amounts of data to a server or cloud becomes expensive owing to limited bandwidth, and leads to latency for time-sensitive operations. Therefore, we propose a novel offloading and transmission p

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Rumiantsev, Yu V., and F. A. Romaniuk. "An Artificial Neural Network Developed in MATLAB-Simulink for Reconstruction a Distorted Secondary Current Waveform. Part 2." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 65, no. 1 (2022): 5–21. http://dx.doi.org/10.21122/1029-7448-2022-65-1-5-21.

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Recently, there has been an increased interest in the use of artificial neural networks in various branches of the electric power industry including relay protection. The operation of the traditional microprocessor-based relay protection device is based on calculation the RMS values of the monitored current and voltage signals and its comparison with the predetermined thresholds. However, calculated RMS values often do not reflect the real processes occurring in the electrical equipment under protection due to, for example, current transformer saturation. In this case secondary current has a c

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Miranto, Rachmadiaz, Jajang Jaenudin, Mustaza Ma’a, and Luqman Hakim. "Design player robot badminton-based microcontroller." JTTM : Jurnal Terapan Teknik Mesin 5, no. 2 (2024): 177–86. http://dx.doi.org/10.37373/jttm.v5i2.990.

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Robots are one of the technologies that is currently advancing quickly. Generally speaking, a robot's movement is similar to that of an automobile; it can only move forward, backward, left, and right. Because the movement is controlled by these movements, it is thought that the robot's movement is extremely restricted to the left and right directions. solely with the front wheels. As a result, a robot was developed in this study that can control sliding motions to the left and right utilizing omniwheels on its front and back wheels. Badminton is a sport involving rackets that is played by two

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Vescio, Basilio, Marida De Maria, Marianna Crasà, et al. "Development of a New Wearable Device for the Characterization of Hand Tremor." Bioengineering 10, no. 9 (2023): 1025. http://dx.doi.org/10.3390/bioengineering10091025.

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Rest tremor (RT) is observed in subjects with Parkinson’s disease (PD) and Essential Tremor (ET). Electromyography (EMG) studies have shown that PD subjects exhibit alternating contractions of antagonistic muscles involved in tremors, while the contraction pattern of antagonistic muscles is synchronous in ET subjects. Therefore, the RT pattern can be used as a potential biomarker for differentiating PD from ET subjects. In this study, we developed a new wearable device and method for differentiating alternating from a synchronous RT pattern using inertial data. The novelty of our approach reli

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Martins, Oluwaseun Opeyemi, Adetoye Ayokunle Aribisala, Muhammad Mahdi Abdulhamid, Idowu Oluwatimileyin Joshua, Olaoye John Oluwatobi, and Olumoko Ronald Samuel. "Development of a facial recognition model using optimized convolution neural network with Tiny-ML and fingerprint authentication for safe lock entry." Dutse Journal of Pure and Applied Sciences 10, no. 1a (2024): 311–21. http://dx.doi.org/10.4314/dujopas.v10i1a.31.

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Safe boxes have been used for centuries to protect valuable items, and their design and construction have evolved over time to improve security. In this study, we carried out the design and implementation of a facial recognition technology using optimized convolutional neural networks (CNNs) with TinyML and fingerprint. The facial recognition system is designed using pre-trained CNN architectures then optimized with TinyML to make it fit into resource constrained edge device, the fingerprint recognition is designed using ridge matching biometric algorithm which fits in perfectly into the micro

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Antoshchenkov, Roman, Sergiy Diundyk, and Oleksandr Kis. "Information and measurement system of traction transport vehicles." Ukrainian Journal of Applied Economics and Technology 7, no. 3 (2022): 47–53. http://dx.doi.org/10.36887/2415-8453-2022-3-6.

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The synthesis of the information and measurement system for traction transport vehicles was performed in the study. It was established that, depending on the purpose, measuring systems are divided into measurement information systems, measurement control systems, measurement control systems, etc. The majority of tractors produced have analog information and measurement systems. The structure of the information and measurement system was proposed, which includes a microprocessor and the following sensors: inertial measurement device (IMP); tractor speed sensor; engine rotation speed sensor; fue

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Tran, Hoai Linh, Van Nam Pham, and Duc Thao Nguyen. "A hardware implementation of intelligent ECG classifier." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 34, no. 3 (2015): 905–19. http://dx.doi.org/10.1108/compel-05-2014-0119.

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Purpose – The purpose of this paper is to design an intelligent ECG classifier using programmable IC technologies to implement many functional blocks of signal acquisition and processing in one compact device. The main microprocessor also simulates the TSK neuro-fuzzy classifier in testing mode to recognize the ECG beats. The design brings various theoretical solutions into practical applications. Design/methodology/approach – The ECG signals are acquired and pre-processed using the Field-Programmable Analog Array (FPAA) IC due to the ability of precise configuration of analog parameters. The

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Ryzhova, Anna Romanivna, and Yurii Oleksiiovych Onykiienko. "Analysis of the Microcontroller Resources Using Specifics for Speech Recognition." Microsystems, Electronics and Acoustics 27, no. 2 (2022): 265406–1. http://dx.doi.org/10.20535/2523-4455.mea.265406.

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The use of neural networks for information recognition, in particular, voice, expands the functional capabilities of embedded systems on microcontrollers. But it is necessary to take into account the limitations of the microcontroller resources. The purpose of the work is to analyze the impact of voice processing parameters and neural network architecture on the degree of microcontroller resources usage. To do this, a database of samples of the keyword, samples of other words and voices, and samples of noise are created, the probability of recognizing the keyword among other words and noises i

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Alawneh, Shadi. "Incorporating DRAGON12-light trainer board in an introductory microprocessors course." Discover Education 3, no. 1 (2024). http://dx.doi.org/10.1007/s44217-024-00102-0.

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AbstractThe HCS12 microcontroller and DRAGON12-Light Trainer boards are extensively utilized in microprocessor system design education. This paper details the rationale, approach, and outcomes from implementing the DRAGON12-Light Trainer board in teaching an upper-level undergraduate microprocessors course at Oakland University. The course’s primary goal is for students to acquire the skills necessary to design both hardware and software for microprocessor-based systems, with applications across various industries. The paper assesses the effectiveness of employing the Motorola HCS12 microcontr

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Moe, Moe Htun, and Htar Nwe Khin. "Implementation of Parallel Interface for Microprocessor Trainer." December 25, 2011. https://doi.org/10.5281/zenodo.1061068.

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In this paper, parallel interface for microprocessor trainer was implemented. A programmable parallel–port device such as the IC 8255A is initialized for simple input or output and for handshake input or output by choosing kinds of modes. The hardware connections and the programs can be used to interface microprocessor trainer and a personal computer by using IC 8255A. The assembly programs edited on PC-s editor can be downloaded to the trainer.

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Toda, Mitsunori, Takaaki Chin, Takashi Oshima, Izumi Takase, and Yuji Azuma. "Prosthetic rehabilitation for bilateral transfemoral amputees using microprocessor-controlled knees with a novel training program: A study of two cases." Journal of International Medical Research 53, no. 6 (2025). https://doi.org/10.1177/03000605251346028.

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The use of microprocessor-controlled prosthetic knees facilitates safe and efficient ambulation in individuals with unilateral transfemoral amputation, contributing to their reintegration into daily life. We report rehabilitation outcomes in two individuals with bilateral transfemoral amputations that used Kenevo (Ottobock, Germany), a microprocessor-controlled prosthetic knee designed for low-activity users (K1/K2), as the first prosthesis. Gait training began in the most stable mode (A) and then progressed to modes B, B+, or C depending on gait stability. One patient subsequently trained wit

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