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Design and Implementation of a Cloud Based Decentralized Cryptocurrency Transaction Platform Kommey, Benjamin; Tchao, Eric Tutu; Osae-Addo, Emmanuel; Kofi Yeboah, Asiedu Biney; Biney, Derick
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 1 (2022): International Journal of Informatics, Information System and Computer Engineeri
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v3i1.8359

Abstract

Trading in the crypto-currency market has seen rapid growth and adoption, as well as the interest in crypto related technologies like blockchain and smart contracts. Smart contracts have gained popularity in building so called Decentralized Applications (dApps) and Decentralized Finance (DeFi) apps, mainly because they are more secure, trustworthy, and largely distributed (removes centralized control). DeFi applications run on the blockchain technology and are secured by blocks (nodes) connected by cryptographical hash links. DeFi applications have a great potential in the crypto-currency trading domain, providing more secure and reliable means of trading, and performing transactions with crypto-currencies. Only verified transactions are added to the blockchain after being approved by miners through a consensus mechanism and then it is replicated (distributed) among the nodes on the blockchain network. This research paper proposes a DeFi Crypto Exchange by integrating a numerous-signature stamp with a crypto API. A numerous-signature stamp solves the issue of transaction verifiability and authenticity. A crypto API provides the data about each crypto currency with which trades and transactions will be performed. This paper also discusses the technical background of the technology and a few related works. Decentralization of transactions through smart contracts on the blockchain will improve trust, security and reliability of transactions and trades.
A Simple, Low-cost, Efficient and Smart Consumer Gas Leakage Detection System Kommey, Benjamin; Opoku, Daniel; Lartey, Jessica; Kumah, Kirston; Tantuo, Mark
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 3 No. 1 (2022): International Journal of Informatics, Information System and Computer Engineeri
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v3i1.8371

Abstract

Liquefied Petroleum Gas is used for a wide range of both domestic and industrial purposes. Its use has seen a significant increase over the years. Unfortunately, there have also been many casualties resulting from gas explosions in recent times. Often, there is a news report of a gas explosion occurring somewhere, whether at home, in the marketplace or in an industry. Although these accidental explosions are sometimes beyond human control, some are due to ignorance, negligence, or improper care of gas cylinders. Most explosions are caused by undetected gas leakages which are then set off to explode with the slightest ignition. Apart from explosions, fires at homes can also be caused by gas leakages. This usually results in serious injuries, loss of property and even sometimes, loss of lives. This project seeks to provide a smart, budget friendly and easy to use gas leakage detector system, a better alternative to relying on the natural way of using the nose, which may fail and in effect, incur undesirable consequences. The system employs an MQ2 sensor interfaced with an ESP8266 Wi-Fi module for sensing the gas in the atmosphere and displaying an alert message on the lcd. The Wi-Fi in combination with the microcontroller module acts as the transmission and processing unit, allowing for communication over wireless medium. This way, a user can receive notifications on a mobile device depending on changes the hardware system detects in the atmosphere. There is also a buzzer to alert nearby persons by sound so that they can take the necessary precautions and actions
An Ad-Hoc Crime Reporting Information Management System Kommey, Benjamin; Opoku, Daniel; Asare-Appiah, Albert; Wiredu, George Ofori; Baah, Paul Kwasi
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 2 (2023): INJIISCOM: VOLUME 4, ISSUE 2, DECEMBER 2023
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v4i2.11436

Abstract

Criminals often escape punishment due to delayed sharing of information with law enforcement agencies. The traditional method of reporting crimes is slow, thus, the need for a faster and modern approach, one that uses modern technology to apprehend perpetrators. It is therefore important to have a well-organized system for reporting criminal activities. This system should be free and easily accessible to the public. With information being delivered promptly and remotely, there is no need for visits to police stations, which can be time-consuming and tedious. This project aims to curb criminal activities by developing a smartphone application that enables victims or witnesses to report real-time information to security agencies, including GPS coordinates. The use of real-time data would prompt quick responses in emergency situations and make reactions proactive rather than reactive. The proposed methodology for the project involves designing and developing a user-friendly mobile app as well as a professional web application for security agencies. The creation of an integration platform allows for the registration of police stations and staff members. Feedback from users would help maintain and improve upon the app. Ultimately, this project aims at increasing public safety and improving crime reporting and management in Ghana by using modern technologies. By enabling citizens to report crimes in real-time, the mobile application has the potential to revolutionize crime reporting and foster a safer and secure environment. By collaborating with law enforcement agencies, the proposed solution can help provide a more efficient and proactive crime reporting system in Ghana.
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.
MeDASH: An Effective Way to Check the Availability of Pharmaceutical Drugs in Proximity Using QR-codes Kommey, Benjamin; Klogo, Griffith Selorm; Paha, Linda Ama; Yeboah, Ofosu Samuel; Ofori , Asamoah Davies
SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Vol. 5 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/spekta.v5i2.8994

Abstract

Background: The rapid advancement of technology is reshaping industries, including healthcare. Doctors and pharmacists require efficient tools to manage inventory and meet patient needs effectively.. Contribution: This project introduces a mobile application that leverages QR code technology to provide real-time information on the availability of prescribed drugs in nearby pharmacies. Method: The app has two interfaces. The doctor’s interface records prescription details (drug name, dosage, frequency) and generates a QR code for the patient. The patient’s interface scans the QR code to find nearby pharmacies with the prescribed drugs via a central database. Results: The application generates QR codes within 0.19 seconds and displays them in 0.22 seconds on average. It integrates Google Maps to identify the patient’s location and nearby pharmacies, offering precise directions to the selected pharmacy. Conclusion: This solution enhances healthcare delivery by improving access to prescription drugs, offering convenience for both healthcare providers and patients, and addressing drug availability challenges.
Ultrasonic Sensor-Based Automated Water Dam Shutter Kommey, Benjamin; Kotey, Seth Djanie; Opoku, Daniel
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 01 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.01.1-4.2020

Abstract

Monitoring the level of water in dams is necessary to ensure optimal operation and safety. Water level monitoring is normally done manually by a full-time operator. This results mostly in a waste of water due to the inability of the operator to accurately determine the quantity of water to release from the dam gate. The aim of this paper is to present the design of a system to automatically open and close dam gates based on the level of water in the dam. The system is based on a low-cost microcontroller and an ultrasonic sensor to read water level in the dam. SMS messages are sent to nearby residents to warn them of the opening of the dam gate. An alarm is also sounds before the eventual opening of the dam gate.
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