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All Journal JOIN (Jurnal Online Informatika) Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer IT JOURNAL RESEARCH AND DEVELOPMENT Techne : Jurnal Ilmiah Elektroteknika Journal of Information Technology and Computer Engineering International Journal of Applied Sciences and Smart Technologies CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking) Makara Journal of Technology
Tamakloe, Elvis
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Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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LEESOLA: A Locally Made Energy Efficient Solar Tracking System for Home Use Kommey, Benjamin; Tamakloe, Elvis; Jerry, Agbesi; Wassem, Darkwa; Elikem, Normenyo Gershon
Techné : Jurnal Ilmiah Elektroteknika Vol. 23 No. 1 (2024)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v23i1.413

Abstract

A solar tracking system is used to orient solar reflectors, photovoltaic panels, and other solar energy harvesting equipment toward the sun mainly to maximize energy output. The LEESOLA system offers an optimized way to increase the amount of energy produced by exposing the harvesting equipment to the sun’s rays. This project is a crucial step towards a more sustainable future and reducing the reliance of humans on traditional energy sources. The system architecture of the LEESOLA solar tracker consists of a microcontroller-based control unit, an ultra-violet (UV) sensor module, motor drivers and PV panels. The UV sensor module detects the location of the sun and sends signals to the control unit. The control unit then passes signals to the motor drivers to introduce a change in the position of the solar panels. The control unit makes use of a suitable algorithm for keeping track of the location of the sun throughout the day and changes the angle of the PV panels accordingly. The UV sensor module makes use of essential optoelectronic components such as photodiodes or phototransistors to detect the position of the sun accurately. As a measure of eliminating any occurrence of misalignment due to factors such as weather conditions, the system has a built-in feedback mechanism that actively monitors the solar panel’s position and adjusts the motor drivers to correct any misalignment. The proposed system obtained an improvement of about 69.29%, 59.41% and 184.96% mean percentage difference in the measured power readings for morning, afternoon, and evening durations respectively. Therefore, this LEESOLA system provided an all-rounded performance improvement over the limiting static methods.
A Reinforcement Learning Review: Past Acts, Present Facts and Future Prospects Kommey, Benjamin; Isaac, Oniti Jesutofunmi; Tamakloe, Elvis; Opoku4, Daniel
IT Journal Research and Development Vol. 8 No. 2 (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2023.13474

Abstract

Reinforcement Learning (RL) is fast gaining traction as a major branch of machine learning, its applications have expanded well beyond its typical usage in games. Several subfields of reinforcement learning like deep reinforcement learning and multi-agent reinforcement learning are also expanding rapidly. This paper provides an extensive review on the field from the point of view of Machine Learning (ML). It begins by providing a historical perspective on the field then proceeds to lay a theoretical background on the field. It further discusses core reinforcement learning problems and approaches taken by different subfields before discussing the state of the art in the field. An inexhaustive list of applications of reinforcement learning is provided and their practicability and scalability assessed. The paper concludes by highlighting some open areas or issues in the field
Disease Detection in Tropical Tomato Leaves via Machine Learning Models Kommey, Benjamin; Tamakloe, Elvis; Opoku, Daniel; Crispin, Tibilla; Danquah, Jeffrey
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 2 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i2.1340

Abstract

This study addresses the significant threat of tomato diseases to production in Ghana, which has led to substantial yield and quality losses, adversely affecting the livelihoods of local farmers and the availability of this essential dietary staple. Traditional disease identification methods are time-consuming and rely on subjective visual inspections, hindering early detection and control. This study develops a machine learning model capable of accurately identifying tomato plant diseases through image processing. The methodology involves processing a dataset of tomato plant images displaying healthy and diseased symptoms. The proposed model employs the YOLOv5 architecture and is deployed on a mobile platform for accessible disease identification. The model achieved a validation mAP@.5 of 0.715, demonstrating strong performance during live, on-site testing. This system provides a swift, accurate, and automated solution for detecting tomato diseases, supporting the sustainability of tomato production in Ghana.
Automatic Ceiling Fan Control Using Temperature and Room Occupancy Kommey, Benjamin; Dunyo, John Kwame; Akowuah, Bright Yeboah; Tamakloe, Elvis
JITCE (Journal of Information Technology and Computer Engineering) Vol. 6 No. 01 (2022)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.01.1-7.2022

Abstract

This paper presents the design and implementation of an automatic ceiling fan speed regulator using web camera and a temperature sensor. Fans have become a very important aspect of our daily lives to present us with comfort especially in hot climates. However, they come with some attendant issues such as a person having to move to where the fan regulators are placed to be able to adjust the speed of the fan. This can be difficult as temperatures change during the day as well as at night when one is asleep. This also poses a problem for physically challenged individuals with mobility difficulties. This project seeks to design a solution that involves automatic fan regulation. This was achieved using a temperature sensor, a camera that captures images, and a system intelligent unit that processes the captured images to detect occupancy. The speed of the fan is then automatically adjusted based on the room temperature and occupancy. The system was implemented on a raspberry pi, a resource constrained edge computing environment.
Automatic Impedance Double-Stub Tuner for High-Power S-Band Microwave Networks Kommey, Benjamin; Addo, Ernest Ofosu; Tamakloe, Elvis
CHIPSET Vol. 6 No. 01 (2025): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.6.01.1-12.2025

Abstract

This paper presents the development of an impedance tuner realized in the WR-340 waveguide for use in S-band networks (2.45 GHz ISM band). The tuner is a double-stub structure designed to be adjoined to a reflectometer and performs automatic impedance matching using the reflectometer’s measurements through a closed-loop feedback mechanism. The device is designed to work under the full operating conditions of high-power microwave generators. Simulations and preliminary measurements show that the impedance tuner performance is stable and temperature independent. The system is suited for on-line monitoring and control of network parameters in industrial waveguide applications
A Mathematical Modelling and Behaviour Simulation of a Smart Grid Cyber-Physical System Tamakloe, Elvis; Griffith, Klogo Selorm; Kommey, Benjamin
JOIN (Jurnal Online Informatika) Vol 9 No 1 (2024)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v9i1.1344

Abstract

The significant contributions of information and communication technology (ICT) and other operational technologies (OTs) or cyber networks have had a tremendous impact on the real-time monitoring, management, and control of the power or energy system facilities. Thus, the integration of these technologies into the energy grid system created a smart, complex, and interdependent system. This system is established and referred to as a smart grid cyber physical power system (SGCPPS). The performances of cyber physical systems are achieved via computation and communication and are imperatively based on a real-time feedback mechanism. In reference to the energy system, monitoring and control of the grid systems is extremely essential in ensuring efficient power supply, quality, reliability, stability and resilience among other determinants. However, their interdependence and integrated nature exposes the grid to disturbances subsequently leading to faults in the grid. Hence, failure to know the grid conditions at a particular period subjugates it to complete system collapse. This paper focused on the development of a mathematical model for a smart gird cyber physical system. Additionally, simulations were performed to study the behaviour of the Smart grid cyber-physical power system (SGCPPS) with regards to monitoring and controlling the physical systems using MATLAB Simulink tool to facilitate system awareness.
Detailed Review on The Denial of Service (DoS) and Distributed Denial of Service (DDoS) Attacks in Software Defined Networks (SDNs) and Defense Strategies Tamakloe, Elvis; Kommey, Benjamin; Akowuah, Emmanuel; Opoku, Daniel
International Journal of Applied Sciences and Smart Technologies Volume 05, Issue 02, December 2023
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v5i2.6380

Abstract

The development of Software Defined Networking (SDN) has altered the landscape of computer networking in recent years. Its scalable architecture has become a blueprint for the design of several advanced future networks. To achieve improve and efficient monitoring, control and management capabilities of the network, software defined networks differentiate or decouple the control logic from the data forwarding plane. As a result, logical control is centralized solely in the controller. Due to the centralized nature, SDNs are exposed to several vulnerabilities such as Spoofing, Flooding, and primarily Denial of Service (DoS) and Distributed Denial of Service (DDoS) among other attacks. In effect, the performance of SDN degrades based on these attacks. This paper presents a comprehensive review of several DoS and DDoS defense/mitigation strategies and classifies them into distinct classes with regards to the methodologies employed. Furthermore, suggestions were made to enhance current mitigation strategies accordingly.
Design and Prototyping of a Low-Cost High Frequency Antenna for Vicinity Coupling Devices Kommey, Benjamin; Addo, Ernest Ofosu; Tamakloe, Elvis
Makara Journal of Technology Vol. 26, No. 3
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper describes the development of a high frequency (HF) antenna for high output power vicinity coupling devices (VCDs) operating at 13.56 MHz. Key design parameters, such as RF power level, antenna size, and communication protocol, and their link to the antenna features and requirements, have been discussed. For efficient reader interrogation, detection, and recovery of transponder responses, a tuning circuit necessary to adjust the antenna power matching and resonance characteristics was designed and prototyped. The antenna was fed to an industry standard reader and evaluated for read range performance with vicinity cards. The designed antenna on the reader achieved a good read range, which demonstrated fair agreement with the calculated theoretical results.
Mobile Robots and Autonomous Vehicle Control: A Comprehensive Review of the Advancements and Challenges Tamakloe, Elvis; Kommey, Benjamin; Addo, Ernest Ofosu; Opoku, Daniel
Makara Journal of Technology Vol. 29, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Since their inception, mobile robots have enormously changed the landscape of robotics engineering in recent years. Imperatively, the impact of mobile robots has positively transformed many sectors of human endeavors, i.e., complemented and substituted humans in areas where human interactions were difficult, hazardous, and impossible to thrive and operate. In this regard, the contributions of mobile robots to scientific, social, and economic growth, development, and advancement cannot be overlooked, especially through its decades of transition from Industry 3.0 to 4.0 over the years. To achieve maximum benefits from the use of mobile robots across all important facets, their advancements and technologies need to be continuously improved to address all relevant issues with regard to associated challenges in navigation, control, remote sensing, and tele-operability. This paper presents a comprehensive review of selected key areas of mobile robot technology where major advancements have been made and are currently ongoing to solve numerous problems effectively with less human effort. In addition, highlights of the challenges faced by mobile robots and autonomous vehicle control have been extensively discussed and recommendations have been given to enhance the efficient and safe use of mobile robots in the event of a change in task complexity in all essentials of human life.
Co-Authors Addo, Ernest Ofosu Akowuah, Bright Yeboah Akowuah, Emmanuel Crispin, Tibilla Danquah, Jeffrey Dunyo, John Kwame Elikem, Normenyo Gershon Griffith, Klogo Selorm Isaac, Oniti Jesutofunmi Jerry, Agbesi Kommey, Benjamin Opoku, Daniel Opoku4, Daniel Wassem, Darkwa