CurRent issues

Welcome to IJLERA! International Journal of Latest Engineering Research and Applications

Volume 09 - Issue 02 (February 2024)


Title:
Use of data envelopment analysis to measure the relative efficiency of the collages Sudan university
Authors:
Ashraf Hassan Idris Brama
Source:
International Journal of Latest Engineering Research and Applications, pp 01 - 08, Vol 09 - No. 01, 2024
Abstract:
In a relatively short period of time Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating performance. DEA has been successfully applied to a host of different types of collages of university the objective to use one of the modern quantitative methods, to gauge the relative internal efficiency to collages of Sudan University, the results of the study as the college of engineering and oil technology, achieved complete relative efficiency in both the (BCC, CCR), recommends the Data base is essential in the university and it should be inclusive of all educational variables relevant to the university, periodically updated and accessible to researchers. Because the main problem facing those who want to implement this method is the unavailability of data and inclusion.
Keywords:
Data envelopment analysis (DEA), academic faculties, relative efficiency, optimization
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DOI:
10.56581/IJLERA.9.2.01-08

Title:
Evaluation of the IMERG Product in the MATOPIBA Region, Brazil
Authors:
Helio Lopes Araújo, Sergio Nascimento Duarte, Vinicius Costa Barreiros, Raoni Wainer Duarte Bosquilia, Patricia Angélica Alves Marques, Pedro Rogério Giongo
Source:
International Journal of Latest Engineering Research and Applications, pp 09 - 21, Vol 09 - No. 01, 2024
Abstract:
Managing water resources around the world requires challenges imposed by natural and anthropogenic processes. Having knowledge about water resources, whether qualitative or quantitative, almost always depends on monitoring rainfall stations for their temporal and spatial understanding. Monitoring dry and wet seasons in a country or region is a difficult problem, especially when the network of meteorological stations is sparse or does not cover the entire area. The Integrated Multisatellite Retrieval of Global Precipitation Measurements (IMERG) produces and provides a source of high-resolution spatial and temporal precipitation estimates obtained by satellites and has been widely used since its launch in 2014, providing global precipitation data since 2000. In the present study, the performance of the GPM (Global Precipitation Measurement) product (IMERG-final run) was evaluated in the MATOPIBA region, located in the northern and northeastern regions of Brazil, from October 2000 to September 2021. The monthly and annual IMERG estimates were compared against the rainfall data from 197 ground stations in the study region belonging to the Agência Nacional das Águas (ANA). The metrics used for this study’s analysis of IMERG’s performance in detecting rainfall were both quantitative and qualitative. The IMERG estimates overestimated those of the rain gauges by about 13%. However, the performance result was quite satisfactory for the estimation of rainfall events, both monthly and annually, that is, excellent correlation with their spatial and temporal distribution as well as their volume. It was concluded that this product is a satisfactory source of alternative rainfall data, especially in areas without a dense network of rain gauges, such as the study region.
Keywords:
Rainfall, GPM, Satellite Products
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DOI:
10.56581/IJLERA.9.2.09-21

Title:
A Critical Review of Artificial Intelligence Vs Human Intelligence
Authors:
Dr. Supriya Rai, Mahek Doshi, Ansh Mehta, Payal Rani, Ashish Goyal
Source:
International Journal of Latest Engineering Research and Applications, pp 22 - 40, Vol 09 - No. 01, 2024
Abstract:
This paper provides a comprehensive critical review of the ongoing debate surrounding artificial intelligence (AI) and human intelligence (HI). With the rapid advancement of AI technologies, there has been growing speculation about its potential to surpass human intelligence and its implications for society. This paper examines key dimensions of AI and HI, including cognitive abilities, creativity, emotional intelligence, and ethical considerations. It explores various perspectives on the strengths and limitations of both AI and HI, highlighting areas where AI excels and where human intelligence remains superior. Furthermore, the paper discusses the potential societal impacts of AI advancement, such as job displacement, algorithmic bias, and the ethical implications of AI decision-making. Drawing upon interdisciplinary research and scholarly discourse, this critical review aims to contribute to a nuanced understanding of the complex relationship between artificial intelligence and human intelligence, offering insights for policymakers, researchers, and the general public alike.
Keywords:
Artificial Intelligence, Emotional intelligence, Human intelligence, Reasoning, Planning
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Title:
Student Responses to Character-Based CBL in Mathematics
Authors:
Besse Harnanengsi Har, Nurdin Arsyad, Rusli
Source:
International Journal of Latest Engineering Research and Applications, pp 41 - 43, Vol 09 - No. 01, 2024
Abstract:
This research aims to analyze student responses to the character-based Challenge Based Learning (CBL) learning model in mathematics subjects. This research was conducted using qualitative descriptive methods. Research data was obtained through observation, interviews and questionnaires given to class XI high school students. The research results showed that students' responses to character-based CBL in mathematics were overall positive. Students show high enthusiasm and motivation to learn when participating in learning with this model. They also show improvements in cooperation, communication, and characteristics such as responsibility, discipline, and never giving up. This research concludes that character-based CBL is an effective learning model for improving students' mathematics learning responses and outcomes. This model can help students develop the 21st century character and skills they need to become independent and successful learners.
Keywords:
Challenge Based Learning, character, student response, mathematics
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Title:
A New Vehicle Routing Problem: When Duration Constraints and Strategic Support Deposit Coexist
Authors:
Marco T. D. Costa, Emerson J. Paiva
Source:
International Journal of Latest Engineering Research and Applications, pp 44 - 54, Vol 09 - No. 01, 2024
Abstract:
This article presents a new variant for the vehicle routing problem, called vehicle routing problem with duration constraints and support deposit (SD-DCVRP), identified from the route studies of a shipping company located in the Brazilian city of Belo Horizonte. This variant can be described as a VRP with two deposits, one with greater importance, from which all deliveries depart, but which has the characteristic of being peripheral, and a second deposit that has a centralized location in relation to other cities and that acts as support to the first. The goal of SD-DCVRP is to minimize total journey time and reduce the number of vehicles used. In this study, variations of existing mathematical models were proposed to solve the problem, considering that, for the situation studied, there are a small number of vertices. The data used for the tests were generated by a Monte Carlo simulation obtained from real data provided by the shipping company. The results obtained and the propositions conceived were considered to be relevant to both the scientific and the technical aspect.
Keywords:
Transportation, VRP, centralized backing deposit, Monte Carlo’s simulation.
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DOI:
10.56581/IJLERA.9.2.44-54