http://ijaers.com/ Open Access international Journal to publish research paper en-us May This research builds upon Hutahaean (2024a), focusing on time series water wave modeling, with substantial portions of this article derived from that prior study. Modifications were made to the calculation algorithm; specifically, vertical water particle velocity is now computed using the continuity equation, and water surface elevation is determined through kinematic free surface boundary conditions. While this revised algorithm enables the model to simulate wave breaking, it results in an excessively high breaker height and struggles to accurately simulate wave conditions post-breaking, particularly at large wave heights. To address these challenges, the kinetic energy conservation equation was integrated into the model. This addition facilitated the creation of a water surface elevation equation through the superposition of kinematic free surface boundary conditions and the kinetic energy conservation equation. This integration yields an equation that maintains a balance between changes in potential energy and changes in kinetic energy, enhancing the model’s capability to simulate both the shoaling-breaking process and subsequent wave conditions in shallow waters more effectively. http://ijaers.com/detail/alternative-algorithms-for-time-series-water-wave-modeling/ Syawaluddin Hutahaean http://ijaers.com/uploads/issue_files/1IJAERS-0520242-Alternative.pdf Solar tracking systems aim to optimize solar photovoltaic (PV) panel efficiency by maximizing exposure to sunlight. This paper explores solar tracking, its benefits, and various system types, emphasizing the goal of ensuring panels are perpendicular to the sun's rays. Tracking enhances energy generation potential compared to fixed installations, increasing output by 25-35%. This boosts return on investment and reduces payback periods. In agriculture, solar tracking promotes energy efficiency, productivity, and sustainability. However, long-term benefits, economic feasibility, and environmental impacts require further research. This study proposes evaluating solar panel output under different weather conditions, comparing tracking and non-tracking modes. The analysis concludes that tracking mode generates more power than non-tracking mode. This finding underscores the efficacy of solar tracking technology in maximizing energy production. Overall, adopting solar tracking systems can foster a greener, more sustainable future, particularly in agricultural contexts. http://ijaers.com/detail/assessing-solar-tracker-effectiveness-in-diverse-weather-conditions/ Amol Prakash, Kamlesh Lal, Maneesh http://ijaers.com/uploads/issue_files/2IJAERS-0520241-Assessing.pdf Tuberculosis disease is a public health problem in Brazil, with high population mortality rates. The main problem with this pathology is the high number of people at the mercy of society, such as homeless people and those with the HIV virus, who, when affected, have a greater chance of causing undesirable outcomes. This work aims to demonstrate to the scientific community the impact of this problem in Brazil, based on the quantification of numbers offered by the federal government DATA SUS. The methodology of this study is a systematic observational review, searching for data from 2001 to 2024 on Tuberculosis. As a result, in this period almost one hundred thousand people were diagnosed with TB, mainly men aged around 20 – 30 years. Therefore, the high power of contamination of this disease in the population is demonstrated, as well as the continued need for public policies, which still appear to be flawed, such as ditero combat. http://ijaers.com/detail/prevalence-of-tuberculosis-in-the-brazilian-population-and-its-aggravating-factors-systematic-review/ Amanda Lima Franco, Amanda Patrícia Gaudio Bayma, Ana Carolina Abdon Seixas, Arthur Henzo da Silva Santos, Bárbara Ferreira Pereira, Daniele Lima da Costa, Maria Gabriela Perdigão Barros Monteiro, Isabela Lima Christo Alves De Campos, Lohanna Gama Nunes, Leonildo Pinheiro de Sousa Junior, Jéssica Pará Amaral de Oliveira, Luiza Bastos Campos, Maria Eduarda Menezes Almeida, Maria Mirella Nunes Bessa Guerra, Rayssa Lima Vilela, Amanda Fernandes Merhe, Antônio Rudyson Maravalhas de Barros, Bernar A Macedo Alves, Vitor Rocha Leitao, Renan Willian Costa da Silva, Brendo Silva Gaia Farias, Luíza Fernandes Malheiro, Leonardo Wanzeller Magalhães, Maria Rita Barboza Rocha, Ana Maria Ferreira Cruz Toledo http://ijaers.com/uploads/issue_files/3IJAERS-04202412-Prevalence.pdf This study aimed to analyze climatic trends in the semi-arid region of Paraiba by understanding changes in climatic variables over time and proposing adaptation and mitigation strategies to address the challenges posed by climate change, aiming to promote sustainable and resilient development in the region. The study area corresponds to the municipalities of Remígio, Esperança, Arara, Solânea, Lagoa Seca, São Sebastião de Lagoa de Roça, and Queimadas. Climatic variables such as Average Daily Temperature (C°), Precipitation (mm/day) and Evapotranspiration (mm/day) were obtained from the Goddard Earth Sciences Data and Information Services Center (GES DISC) through the tool also obtained in the study by Giovanni (2023). Descriptive statistics of climatic variables were performed, the Kendall test was used to assess the presence of temporal trends, and simple regression analysis was conducted to explore relationships between climatic variables. The climatic analyses indicated a decreasing trend in precipitation and evapotranspiration over time. This highlights the vulnerability of the semi-arid region of Paraiba to adverse climatic conditions, with potential impacts on available water resources. It is essential to implement policies and practical measures to address water scarcity, rising temperatures, and extreme events, thereby ensuring a more resilient and sustainable future for the semi-arid region of Paraiba. http://ijaers.com/detail/climate-analysis-of-the-semi-arid-region-of-para-ba-challenges-and-sustainable-strategies/ Amanda Cristiane Gonçalves Fernandes, Raimundo Aprígio de Menezes Júnior http://ijaers.com/uploads/issue_files/4IJAERS-0520243-Climate.pdf Using quantum algorithms to improve deep learning models' capabilities is becoming increasingly popular as quantum computing develops. In this work, we investigate how quantum algorithms using quantum neural networks (QNNs) might enhance the effectiveness and performance of deep learning models. We examine the effects of quantum-inspired methods on tasks, including regression, sorting, and optimization, by thoroughly analyzing quantum algorithms and how they integrate with deep learning systems. We experiment with Estimator QNN and Sampler QNN implementations using Qiskit machine-learning, analyzing their forward and backward pass outcomes to assess the effectiveness of quantum algorithms in improving deep learning models. Our research clarifies the scope, intricacy, and scalability issues surrounding QNNs and offers insights into the possible advantages and difficulties of quantum-enhanced deep learning. This work adds to the continuing investigation of quantum computing's potential to advance machine learning and artificial intelligence paradigms by clarifying the interaction between quantum algorithms and deep learning systems. http://ijaers.com/detail/quantum-machine-learning-exploring-quantum-algorithms-for-enhancing-deep-learning-models/ Hari Gonaygunta, Mohan Harish Maturi, Geeta Sandeep Nadella, Karthik Meduri, Snehal Satish5 http://ijaers.com/uploads/issue_files/5IJAERS-0520249-Quantum.pdf This work done is pointed toward fostering a web-based Online application "Division The executives Framework" that is of significance to explicit branch of school. The framework is electronic application that can be gotten to all through the division of an association. This framework might be utilized for checking the general exercises as well as execution of the understudies. This work is being produced for a designing to keep up with and work with simple admittance to data. For this the clients should be enrolled with the framework after which they can access as well as alter information according to the consents given to them. DMS is an online application that targets giving data to every one of the degrees of division in an association. For a given understudy/personnel can get to the framework to either transfer or download some data from the information base. http://ijaers.com/detail/a-web-based-department-management-system-for-academic-institutions/ Kulkarni Rohini, Shelke Aditi, Mane Rutuja, Kulkarni Shruti, Prof. D.P. Kulkarni http://ijaers.com/uploads/issue_files/6IJAERS-0520248-AWeb-Based.pdf Internal resistance of a battery is affected by the amount of charging current and how many charge cycles are carried out. The value of internal resistance is also related to the State of Health (SoH) of the battery. The smaller value of internal resistance indicates a higher SoH of the battery. This paper presents a comparison of internal resistance due to variation of charging current. The current values are 500 mA, 1000 mA, and 3000 mA. Lithium-ion 18650 batteries which have capacity 1200 mAh are charged by these current values. Three batteries are used using three scenarios, namely the 500 mA for scenario 1 using the Liitokala-Lii500 charger, 1000 mA for scenario 2 using the Liitokala-Lii500 charger, and the 3000 mA for scenario 3 using the XL4016 constant current (CC) constant voltage (CV) charger. Every battery is charged 20 times. Internal resistance of each battery is measured using YAOREA YR1030 module during experimental work. The data experiments indicate that variation of current of 500 mA for scenario 1, internal resistance is increased by 1 mΩ. Scenario 2, 1000 mA, internal resistance will extend by 1.4 mΩ. Scenario 3 which uses 3000 mA, gives the highest internal resistance alteration by 2.1 mΩ. It can be concluded that the greater values of charging current will affect a higher value of internal resistance. http://ijaers.com/detail/effect-of-charging-current-variation-on-internal-resistance-in-lithium-ion-batteries/ Keshawa Udiatma, Trias Andromeda, Dr. Iwan Setiawan http://ijaers.com/uploads/issue_files/7IJAERS-0520247-Effectof.pdf