Engineering Science Letter
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68 research outputs found
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Forecasting Model of Shrinkage in Circular Knitted Fabric Using Decision Tree Analysis
Full text linkControlling and ensuring product quality are significant in any production department, especially in the textile and clothing industry. Ensuring fabric shrinkage meets customer requirements constitutes a critical factor in evaluating product quality in the knitted fabric production process. However, fabric shrinkage depends on the order‘s specifications, such as loop length, fabric weight, material composition, longitudinal density, and transverse density. This complexity makes it challenging to control and ensure the fabric quality according to customer requirements. This study will describe the characteristics of each specification factor and explore its influence on fabric shrinkage. Finally, data mining techniques develop a forecasting model based on input parameters. The prediction model results will support production managers in estimating and promptly adjusting process parameters to achieve the expected quality levels
The Role of ICT in Skilled Manpower Development: A Study of Plateau State Polytechnic, Barkin-Ladi Nigeria
Full text linkInformation and Communication Technology (ICT) in workforce development is an essential and rapidly growing study area. An increasing number of countries are now undertaking training to develop skills in the use of ICT in teaching and other school activities to ensure higher efficiency, higher productivity, and higher educational outcomes, including quality of cognitive, creative, and innovative thinking. Against this backdrop, this study examined the role of ICT in skilled workforce development in polytechnics with Plateau State Polytechnic, Barkin–Ladi as the focus. Using the WhatsApp platform, a focus group discussion was conducted with eighteen academic staff members of the Department of General Studies of the Plateau State Polytechnic for data collection. The theoretical framework adopted for the study was the Computer-Aided Language Learning (CALL). Amongst other findings, the study discovered that computers and the internet have become indispensable worldwide and have frequently aided the training of skilled workforce and the creation of jobs and economic growth. It concluded that using ICT in lecture preparation and presentation, instructional delivery, individualized learning, collaboration, and evaluation of learning will significantly benefit our society in skilled workforce development for nation-building
Sustainable and Green Architecture Industrial Technology: Challenges and Future Directions
Full text linkSustainable design plays a pivotal role in addressing environmental and social concerns within the field of architecture. This concept involves the integration of sustainability principles throughout the architectural design process, encompassing social sustainability, sustainable materials and construction methods, and sustainability assessment. Architects can create structures that demonstrate environmental consciousness, optimize resource use, promote social inclusivity, and preserve cultural significance by incorporating these fundamental principles. However, the successful implementation of sustainable architecture faces several challenges. These challenges include limited awareness among professionals, resistance to change in the industry, complexities in integrating sustainability, and budget constraints. Overcoming these hurdles necessitates comprehensive education, government support, adherence to regulations, technology utilization, and economic incentives to encourage the adoption of sustainable design techniques. Despite these challenges, the field of sustainable architecture holds significant potential for further advancement. Opportunities for exploration include integrating emerging technologies like artificial intelligence and machine learning, applying sustainable architectural principles in urban planning, advancing sustainable materials and construction methods, considering social sustainability, and developing comprehensive frameworks for holistic sustainability assessment. By advancing knowledge and innovation in these areas, sustainable architecture can contribute substantially to creating a more sustainable built environment. Architectural professionals, through collaboration, interdisciplinary approaches, and a commitment to long-term sustainability, have the potential to play a crucial role in shaping a sustainable future for urban areas and communities
Assessment of Water and Wastewater Treatment Efficiency in Nigeria
Full text linkWater and wastewater treatment are vital in safeguarding public health and environmental sustainability. In Nigeria, various factors influence water and wastewater treatment systems' efficacy, including infrastructure conditions, management practices, and regulatory compliance. This study assesses the efficiency of water and wastewater treatment in Nigeria through a comprehensive evaluation of key parameters such as infrastructure conditions, water quality, treatment efficacy, and management efficiency. Data collected from 35 engineers involved in the water and wastewater sector were analyzed using statistical methods to identify areas for improvement. The quantitative descriptive statistical analysis summarized and interpreted numerical data using central tendency and variability measures. Results indicate significant disparities in infrastructure conditions and management practices, highlighting the need for strategic investment and policy interventions. Recommendations for policymakers include prioritizing infrastructure upgrades and enhancing stakeholder engagement to align with global standards. Future research directions emphasize the importance of longitudinal studies to track the effectiveness of interventions and explore innovative technologies for sustainable water management. Overall, this study provides valuable insights into the current state of water and wastewater treatment in Nigeria and offers actionable recommendations for enhancing efficiency and sustainability in the sector
A Glimpse to the Future: Identifying Stroke Risk Factors Using Data Visualization for Stroke Prediction
Full text linkAccording to the World Health Organization (WHO), stroke stands as the second leading cause of death, accounting for 11 percent of total deaths in the world. This study identifies risk factors associated with stroke that could help predict the likelihood of a person getting a stroke by assessing input parameters such as gender, age, medical conditions related to stroke and cardiac disease, smoking status, body mass index, and average glucose level, among others. The results, presented with data visualization, showed that the above risk factors were significant in signifying stroke incidence
2D CFD Simulation on the Aerodynamic Performance Enhancement of H-Darrieus VAWT Utilized with Flaps
Full text linkThis research aims to enhance the aerodynamic performance of the H-Darrieus Vertical Axis Wind Turbine (VAWT) consisting of 3 main blades with the addition of flaps on each blade. Performance evaluation and geometry optimization are conducted by varying the gap distance between the main blades and flaps and altering the deflection angle of the flaps. A numerical approach using Computational Fluid Dynamics (CFD) is employed to analyze the performance of VAWT turbines and optimize the gap distance between the blades and flaps. NACA 0018 profiles are utilized for the main blades, while NACA 0015 profiles are used for the flaps. A two-dimensional CFD model of the VAWT turbine is analyzed using the Unsteady Reynolds Averaged Navier-Stokes (URANS) method with the k-ω Shear Stress Transport (SST k-ω) turbulence model. Simulations are conducted using ANSYS Fluent software, encompassing turbine models with and without flaps—validation of simulation results for turbines with and without flaps through experimental and numerical approaches. Simulation variations with flaps are carried out by considering the parameter of gap distance between the blades and flaps at various Tip Speed Ratio (TSR) values. The research results indicate an optimal distance between the main blades and flaps at a specific flap deflection angle where the power coefficient reaches its maximum value. Overall, the addition of flaps and deflection angle variations positively contribute to the aerodynamic performance of VAWT turbines
Revolutionizing Accounting through Digital Transformation: The Impact of Technology
Full text linkThis research paper delves into the transformative impact of digital technologies on the accounting industry, emphasizing the imperative for adaptation in the face of global organizational digitization. Examining the intricate consequences of digital transformation on accounting processes, the study addresses challenges, prospects, and shifts in perspective resulting from technological integration. Employing a questionnaire as the primary data-gathering tool, opinions were solicited from a diverse sample of 120 institutions spanning industries such as communications, insurance, food, and cleaning materials. Utilizing the Rensis Likert five-point rating system, responses were collected from 237 participants out of the 320 electronic questionnaires distributed via email. The findings underscore the necessity of a comprehensive strategy encompassing skill development, technology adoption, cultural change, and proactive engagement with regulatory and technological advances. This approach is essential for successfully navigating the evolving landscape of digital transformations in the accounting industry. Implementing these recommendations positions accountants, companies, and legislators to thrive in the progressively digital financial environment
Diabetes Prediction Using Medical Variables: Analysis & Data Visualization
Full text linkDiabetes is a chronic illness that develops when the body either cannot use the insulin that the pancreas produces properly or does not produce enough of it. One hormone that controls blood sugar is insulin. Approximately 48% of all deaths caused by diabetes occurred before the age of 70 in 2019. Diabetes was the direct cause of 1.5 million deaths in 2019 based on the report from WHO (World Health Organization). This study shows the classification of whether someone has diabetes or not using the 8 datasets (medical variables) of age, gender, body mass index (BMI), hypertension (blood pressure), heart disease, smoking history, HbA1c level, and blood glucose level as the risk factors to predict diabetes in patients based on their medical history and demographic information. Furthermore, the result of this study will be presented with analysis and data visualization
A Proposed Quality Improvement of Delivery Services at PT Pos Indonesia Using Importance-Performance Analysis and Kano Model
Full text linkPT Pos Indonesia, a courier service company, contends with a notably low market share, as indicated by Top Brand data reflecting market proportions over the past five years in Indonesia. This decline in market share is predominantly attributed to subpar service quality. Hence, there is a pressing need to scrutinize PT Pos Indonesia to enhance its service standards for consumers and discern the service attributes requiring maintenance and prioritized improvement. This study employs the IPA (Importance Performance Analysis) and Kano method, both of which complement each other synergistically. IPA seeks to unearth insights into service factors influencing customer satisfaction and loyalty, while the Kano model categorizes service attributes based on their capacity to meet customer needs effectively. Additionally, the Kano model identifies areas warranting attention or enhancement, which can augment customer satisfaction. The analysis reveals four attributes classified as defenseless strategy points and one attribute deemed a chronic issue through the amalgamation of IPA and Kano model findings, thereby informing decisions to enhance performance
Development of a Hybrid Decision Support System for Selecting the Air Filters Based on Multiple Criteria
Full text linkTo select an air purifier that fully meets the needs of consumers, this study was conducted to provide the most objective and effective suggestions in making decisions and evaluating different smart purifier options that suit the tastes of users. Such decision-making is complicated for non-professionals when there are countless large and small brands on the market today with many different prices, features, and incentives. In such complex situations, decision-making with TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) can be used to eliminate risk and to better represent the preferences of decision-makers. From modeling to using the Entropy method and the TOPSIS method, all are done to serve the ultimate goal of choosing a good air purifier that meets the needs of customers