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May 29, 2025Open    Access

Digital Mapping to Determine Sustainability of Dam Construction in Owerri North for Agricultural Productivity

Okwudili John Ugwu,Udo A. Emmanuel,Uzoeshi M. Samson,Geoffrey Ogbonna Nwodo,Anthony Okoroji
Agriculture is critical for economic stability and food security, particularly in regions like Owerri North, Nigeria, where inconsistent rainfall, waterlogging, and soil erosion threaten productivity. This study leverages Geographic Information Systems (GIS) and Remote Sensing (RS) to identify suitable dam construction sites to improve agricultural productivity. Key thematic layers such as precipitation, stream density, geomorphology, geology, land use/land cover (LULC), and elevation were analy...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113065


Apr 30, 2025Open    Access

Optimization of Leach Parameters to Improve Energy Efficiency of Wireless Sensor Networks

Sipepe Riopo Adela,Mei Wu
This article introduces a study on optimizing LEACH parameters to improve the efficiency of wireless sensor networks. The focus of the research is to find the optimal algorithm configuration parameter to maximize the performance and prolong the lifetime of wireless sensor batteries. This study aims to improve the overall energy efficiency of wireless sensor networks by adjusting the LEACH parameters. The results will contribute to the development of more sustainable and energy-e...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113258


Apr 08, 2025Open    Access

Applying K-Means Clustering and Fuzzy C-Means Clustering in Vehicle Crashes

Azad Abdulhafedh
Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a vehicle crash dataset in order to explore various patterns in the data. K-means assigns data points to clusters based on the similarity between the data point and the cluster centroids, which results in partitioning the data into distinct clusters. On the other hand, fuzzy C-means clustering allows da...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1112856


Mar 01, 2025Open    Access

Central Repository System: A Quantitative Analysis of Its Feasibility and Applicability in MMSU

Suzeth Nicole M. Ruguian, Bensen Alex U. Pola
Philippine government entities are struggling to improve services to catch up with the demands of the contemporary times which is to embed technology. One case is the potential work output of a cloud-powered productivity platform that is beneficial for State Universities and Colleges (SUCs) to advance the process of their government services. This study analyzed the feasibility and applicability of a central repository system (CRS) using a platform, Microsoft 365, of the Mariano Marcos ...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1112673


Feb 10, 2025Open    Access

Digital Transformation as an Influential Factor in the Knowledge Management of Public Servants Working Telework

Michely Uany Santana de Andrade,Rosângela Sarmento Silva,Marcos Antonio Gaspar
This study investigates the influence of Digital Transformation (DT) on Knowledge Management (KM) of teleworking employees at the Federal Institute of Bahia (FIBA). Using a quantitative approach with Principal Component Analysis (PCA) and Simple Linear Regression, the research is characterized as descriptive and exploratory, focusing on identifying and quantifying the relationships between DT and KM. The research analyzed 47 variables related to DT and KM, of which 42 were grouped into two main ...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1112624


Dec 25, 2024Open    Access

The Legitimacy of Online Banking Transactions as a Value-Added Tool in Rwanda’s Banking System

Evariste Nkubito,Jean Baptiste Mbanzabugabo
This paper sought to study online banking services’ security constraints and transaction legitimacy checks using “two factors authentication or multi factor authentication”. The Government of Rwanda introduced a cashless program that had a target of promoting electronic payment and the program was more enforced during COVID-19 insurgency when the general public was strictly encouraged to use electronic payment systems to curb the badly disseminating disease and enforce other existing benefits of...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1112326


Dec 06, 2024Open    Access

Blockchain Brains: Pioneering AI, ML, and DLT Solutions for Healthcare and Psychology

Rocco de Filippis,Abdullah Al Foysal
In an era marked by rapid technological advancement, the fusion of Artificial Intelligence (AI), Machine Learning (ML), and Distributed Ledger Technology (DLT), commonly referred to as blockchain, represents a pioneering frontier in healthcare and psychology. This paper explores the transformative potential of integrating these technologies to reimagine traditional practices and unlock novel approaches to patient care, diagnostics, therapy, and mental health management. Specifically, it investig...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1112543


Aug 22, 2024Open    Access

An Approach for Smart Gateways to Collect Data and Automate It on Block-Chain

Jingli Mu,Xiaodong Wang,Qiang Liu,Ran Li,Kun Wang,Lei Zhu,Hongbin Chang,Jiabao Lei
Blockchain is a technology that has received a lot of attention in recent years, employing a distributed consensus mechanism that ensures the credibility and integrity of data through the verification and approval of multiple parties [1] [2]. Due to its decentralization, immutability, security, reliability, and traceability, blockchain is widely used in various fields such as finance, logistics, and healthcare. Currently, common methods of uploading to the blockchain include interfacing business...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1111261


Jul 31, 2024Open    Access

Measurement of Ankle Joint Kinematics Using IMUs during Countermovement Jumps and Lateral Skater Jumps

Ifeoluwa Olawore
This study compared Inertial Measurement Unit (IMU) and Optical Motion Capture (OMC) systems in measuring peak ankle angles and Range of Motion (ROM) during Countermovement Jumps (CMJ) and Lateral Skater Jumps (LSJ). Data during these agility movements were analyzed and the ankle angles in pitch, roll, and yaw for the IMU were determined using algorithms which integrated gyroscope data, aligned it with foot flat reference, and fused it with accelerometer-derived inclination angles using a comple...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1111809


May 13, 2024Open    Access

Trends in Wireless Network Security

Anita C. Eluwa
Wireless networks are an integral part of day-to-day life for many people, with businesses and home users relying on them for connectivity and communication. This scholarly research will examine the security vulnerabilities and threats in wireless communications. The security requirements of wireless networks including their authenticity, confidentiality, integrity, and availability will be identified and summarized. Different research and surveys have been undertaken by academic researchers on ...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1111033


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