Journal of Novel Engineering Science and Technology
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Determining the Particle Size of Cu and Ni in Thin Cu/Ni Films using the Williamson-Hall Method
Get PDFThis research focuses on analyzing the particle size of a thin Cu/Ni layer produced through electroplating by varying the input voltage. The Williamson-Hall method is used to determine the particle size of the layer, and an X-ray diffractometer is used to characterize the layer. The study finds that the particle size of Cu and Ni layers with different applied voltages has different values due to various factors. The optimum voltage for the Ni layer is found to be 7.5 volts, and its overall particle size is 4.13 × 10^(-10) nm, while the particle size of Cu is 5.00 × 10^(-9) nm. The applied voltage affects the particle size produced, and the research identifies an optimum voltage at 7.5 volts
Assessing Community Perspectives on Flood Preparedness and Mitigation Strategies in Nigeria
Get PDFThis study aims to assess the perspectives of 200 respondents in Makurdi town, Benue State, Nigeria, on flooding using a Likert scale questionnaire. Flooding is a recurring challenge in the area, impacting lives and properties and necessitating effective flood management and mitigation strategies. The questionnaire covers various aspects of flooding, including frequency, property damage, flood warning systems, government efforts, climate change impact, community preparedness, and community-based initiatives. The findings reveal that flooding frequently occurs in Makurdi, emphasizing the urgency for comprehensive flood management strategies. Respondents acknowledge the personal impact of flooding, highlighting the need for effective mitigation measures. Improvement is needed in flood warning systems and government efforts to prevent flooding. Climate change's role in increasing flooding is recognized, emphasizing the importance of climate-resilient strategies. Community awareness and education are essential for reducing flood impacts, while public-private partnerships offer opportunities for collaborative flood management initiatives. The media's role in disseminating flood-related information is crucial. Stricter enforcement of building codes in flood-prone areas and community-based initiatives can contribute significantly to effective flood management. The implications of this study underscore the importance of community engagement, climate-resilient measures, and improved communication. Policymakers and local authorities can use these findings to develop targeted interventions for building a more flood-resilient Makurdi. By adopting proactive measures and community involvement, the town can enhance preparedness and adaptability to future flood scenarios, fostering a safer and more sustainable environment
Rapid Preliminary Sailplane Design using Regression Method
Get PDFThe article describes a new method for the preliminary design of a Sailplane based on technical data from similar Sailplanes, enabling quick design using regression methods. The authors chose FX 66-168 as the main wing airfoil for a new sailplane with a gross weight of 602 kg with a flight parameter Angle-of-Attack (AoA) 00 in minimum velocity of 49.5 m/s to cruise. As an example, we illustrate the proposed regression method. Our method allows for improving the effective preliminary design of the sailplane. The effectiveness evaluation validation of the new model is conducted with the numerical calculation using XFLR Opensource software. The research results improve design techniques and could be used as a manual for an aircraft designer
Deep Reinforcement Learning for Tehran Stock Trading
Get PDFOne of the most interesting topics for research, as well as for making a profit, is stock trading. It is known that artificial intelligence has had a great influence on this path. A lot of research has been done to investigate the application of machine learning and deep learning methods in stock trading. Despite the large amount of research done in the field of prediction and automation trading, stock trading as a deep reinforcement-learning problem remains an open research area. The progress of reinforcement learning, as well as the intrinsic properties of reinforcement learning, make it a suitable method for market trading in theory. In this paper, single stock trading models are presented based on the fine-tuned state-of-the-art deep reinforcement learning algorithms (Deep Deterministic Policy Gradient (DDPG) and Advantage Actor Critic (A2C)). These algorithms are able to interact with the trading market and capture the financial market dynamics. The proposed models are compared, evaluated, and verified on historical stock trading data. Annualized return and Sharpe ratio have been used to evaluate the performance of proposed models. The results show that the agent designed based on both algorithms is able to make intelligent decisions on historical data. The DDPG strategy performs better than the A2C and achieves better results in terms of convergence, stability, and evaluation criteria
Proposed SWOT Strategy with Attention to The Managerial Innovation Level
Get PDFoai:ojs2.journal.iistr.org:article/54PT Sumber Inti Pangan is a spice and seasoning manufacturing industry that has continued to grow until now. The company's three-year trend of rising sales provides evidence of this growth. Since 2017, there has been an average growth in the consumption of spices and seasonings, according to rising sales trends and data on public consumption. The increase in average consumption and market opportunities trigger competition between companies. Companies must prepare, create, and obtain new sustainable products to compete. Managerial innovation has the potential to innovate products. In this study, SWOT analysis is used to propose long-term strategies that can help companies maximize strengths and opportunities and minimize weaknesses and threats. Managerial innovation analysis with the Fuzzy AHP method is used to analyze internal factors in the form of company strengths and weaknesses. Therefore, SWOT weaknesses that are still too broad, not detailed, and cannot prioritize the identified factors can be covered. On the other hand, PEST and Porter's Five Forces are used to analyze external factors in the form of opportunities and threats to the company. The results showed that the company's innovation rate was 52.262%. The company had innovated in the planning, leading, and controlling functions but could not innovate in the organizing and coordinating processes. Several strategies the company can utilize are conducting regular evaluations to get more innovative substitute products, adding organizational groupings based on customer base, and making annual plans
Development of a Multi-Item Inventory Model by Considering Perishable and Return of Goods in a Hospital Pharmacy
Get PDFIn determining an inventory's quantity, some factors need to be considered. The factors to be considered in the pharmaceutical industry are the fluctuating demand factor (diseases are unpredictable) and the perishable factors. The purpose of this paper is to propose a probabilistic inventory model by considering perishable and return of goods. Compared to the previous models, the developed model has lower inventory costs when compared to the model not considering the return of goods and higher inventory costs when compared to the model that considers deterministic demand patterns. The sensitivity analysis was done to see the behavior of the total cost, component costs, and time to order. The parameters to be changed for the sensitivity test were a fraction of good condition goods, holding costs per unit per period, and ordering cost per unit per period. The analysis showed that total cost, based on joint order, is sensitive to the fraction of good condition products. In general, the model was perceived as able to describe the behavior of the model components
Safety Stock, Warehouse Capacity, and Return of Goods in Inventory Model Development
Get PDFWith the increasing level of competition between companies, companies are required to be able to manage their inventory system optimally. In the pharmacy supply system, it is important to consider the uncertainty factor because the demand for medicines depends on the uncertain nature of the disease, besides that there is an expiration factor that must be considered because medicines must have an expiration date. To solve the problem of expiration, the supplier usually provides a return policy in accordance with the specified conditions. In addition, pharmacies also have limitations on warehouse capacity that must be considered. To solve the problem of limited warehouse capacity in this study, an approach to the requirements of the Karush Kuhn-Tucker method was used. From the developed model, two ordering times are obtained, namely and which will be compared to get the optimal ordering time. From the analysis of the model, it is found that the more characteristic considerations in an inventory system, the greater the total inventory cost
CFD Analysis of the Eccentricity Ratio on Journal Bearing due to Differences in Lubrication Type
Get PDFLubrication on journal bearings plays a vital role in reducing metal-to-metal friction, separates the reliable components. Often there is a decrease in lubrication conditions, which will cause failure or a change in roughness to the inner surface. Direct metal-to-metal contact between the bearing's inner and journal surface will gradually deform the bearing. In diesel engine applications, lubrication is aiming to minimize failure or damage to the journal bearing. This paper investigates a 3D CAD model of a journal bearing using the ANSYS Computational Fluid Dynamics software. The effect of eccentricity ratio is analyzed for semisynthetic lubricating oil R3 10W-30 and synthetic oil. The result shows that synthetic oil has a considerable pressure compared to R3 10W-30, especially at a higher eccentricity ratio
Telemedicine and COVID-19 Pandemic: Valuable Lessons for Future Implementations
Get PDFTelemedicine has gained significant momentum during the pandemic. Telemedicine offers a way for people to access medical care without having to physically visit a healthcare facility, which can be especially important when in-person visits may not be safe due to a highly contagious virus. One major benefit of telemedicine is that it allows for the continuation of healthcare services while also helping to reduce the spread of COVID-19. By providing virtual consultations and treatments, telemedicine helps to limit the number of in-person visits. This is critical to reduce the risk of exposure to the virus and prevent healthcare facilities from becoming overwhelmed. Telemedicine has also helped to address some challenges that have arisen as a result of the pandemic. For instance, by using telemedicine, healthcare providers can reduce the need for PPE and maintain a safe distance while still providing necessary medical care. Despite the many benefits, there are also some challenges and limitations. For example, not everyone has access to the necessary resource to participate in telemedicine. Additionally, some medical procedures and treatments may not be suitable for telemedicine, requiring in-person visits. Moreover, it is important to consider the ethical issues that it raises and to work toward solutions that address these concerns. This can involve measures such as ensuring that telemedicine is available and accessible to all who need it, protecting patient privacy and confidentiality, and ensuring that telemedicine is used in a way that provides the highest quality and most appropriate care for patients
Assessment and Mitigation of Information Security Policy in Budgeting System using KAMI Index 4.1
Get PDFThis Threats to information resources require information security management policies in every agency. The Information Security Index (KAMI Index) is one of the methods developed by the Ministry of Communication and Information Technology, used to evaluate the maturity level, completeness of ISO/IEC 27001:2013 implementation and information security readyness. As a national zakat institution, XYZ Organization has utilized information technology in several systems, including the budgeting system. However, the information security index has never been measured. This condition may result in the risk of threats to information security, so it is necessary to measure. The Budgeting System needs to be measured using KAMI Index 4.1. The assessment criteria are carried out on seven categories to know how the quality of the information security policy is. The results of this assessment, XYZ organization gets an electronic system score is 17, governance 75, risk management 30, framework 31, asset management 37, ICT 38, securing third party involvement 40%, service security 20%, personal data protection 27% so the total score of 5 categories is 211 or at level I+ to II. This organization has started implement the framework at early stage and has not met the initial requirements for ISO/IEC 27001:2013 certification