Towards A Framework for Development of Operational and Maintenance Cost Model of Highway Project in Malaysia

Islam, Monirul; Mohamed, Sarajul Fikri; Mahmud, Syamsul Hendra; M, Alghamdi Khalid Ahmed; Saeed, Karban Abdullah

doi:10.35940/ijmh.e0530.014520

Cited by 14 publications

(1 citation statement)

References 17 publications

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“…The estimation of costs related to software development is being one of the most significant problems in the software development industry. The broad importance of forming a cost model approach for software is identical to the process for estimating anywhere else cost factor [1], [2], [3], [4]. Conversely, there are several characteristics of the approach that are unique to software prediction [2], [5].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Framework For Software Maintenance Cost Estimation Using Genetic Hybrid Algorithm: OOPs Prospective

Islam,

Farooqui,

Haleem

et al. 2023

IJCDS

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One of the most significant exercises in software development is the software cost estimation, which leads to improvements in software engineering technique. The objectives of cost estimation, including effort, schedule, and manpower needs, are helpful advice for the establishment and operation of projects. This paper proposes an object-oriented software development framework for maintenance cost estimation using a genetic hybrid algorithm, a novel approach for estimating the maintenance cost of software systems. The framework combines object-oriented software development principles with genetic algorithm techniques to create a hybrid algorithm that can accurately estimate maintenance costs for software projects. The paper begins by discussing the importance of accurately estimating maintenance costs, as software maintenance can account for up to 60% of the total cost of a software system. Then the paper outlines the proposed framework, which consists of several components, including a cost estimation model and a genetic algorithm. The cost estimation model uses a set of parameters to predict maintenance costs, and the genetic algorithm is used to optimize the model's parameters for maximum accuracy using an appropriate data set. The paper then presents the results of an empirical study that was conducted to evaluate the effectiveness of the proposed framework. The study found that the framework was able to accurately estimate maintenance costs for several software projects by reducing root mean square error (RMSE) as well as mean absolute error (MAE). It has been observed that an improved prediction model over the regression model has been developed, resulting in lower RMSE and MAE values of 61.66 and 0.098818, respectively, as compared to the earlier ones from the regression model of 96.31 and 0.1718818, respectively. Overall, the Object-Oriented Software Development Framework for Maintenance Cost Estimation using Genetic Hybrid Algorithm Techniques provides a promising approach for accurately estimating maintenance costs for software systems, which can help organizations better manage their software development projects and budgets.

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Section: Introductionmentioning

confidence: 99%

An Efficient Framework For Software Maintenance Cost Estimation Using Genetic Hybrid Algorithm: OOPs Prospective

Islam,

Farooqui,

Haleem

et al. 2023

IJCDS

View full text Add to dashboard Cite

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Effects of Wastewater Sludge Addition on Fired Clay Bricks: Enhancing Performance and Sustainable Construction Practices

Babu,

Sujin S,

Anoop S S

et al. 2024

IJESE

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This study explores the impact of incorporating wastewater sludge into fired clay bricks to improve their performance and promote sustainable construction. Physical, mechanical, and environmental properties of the sludge-amended bricks are investigated to assess their suitability as an alternative construction material. Lab tests are conducted to characterize the sludge and clay, and brick samples with varying sludge content are produced. Physical properties such as water absorption, are analyzed to determine the influence of sludge addition on the bricks' structural characteristics. Mechanical tests, including compressive and flexural strength evaluations, assess the performance of the sludge-amended bricks compared to traditional clay bricks. Additionally, environmental aspects are considered to evaluate the sustainability of the sludge-amended bricks. Life cycle assessment and carbon footprint analysis quantify the environmental benefits and drawbacks associated with their production and use. The findings of this study contribute to the knowledge of sustainable construction materials by exploring the potential utilization of wastewater sludge in fired clay brick production.

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Remote Safety Distance Control for Motor Vehicles

Caporali

2024

IJIES

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We define a method for monitoring and controlling the Safety Distance between motor vehicles. Failure to respect the safety distance between cars on roads and especially on motorways (where speeds have high values) is among the main causes of accidents. This fact generates serious inconveniences such as roadblocks, with enormous delays for car drivers reaching their destinations, as well as possible deaths and injuries. At the current state of the art, in this regard, steps have only been taken to define auxiliary systems on vehicles that signal when this distance has been reached, advising the driver to reduce speed to restore the minimum safety distance. But such systems are, in practice, negatively considered by motorists and do not lead to positive results. The Method and System defined in this work instead involve the use of a Remote System for controlling the Safety Distance, of the same type as those applied for speed control on roads and motorways. These systems are hated by car drivers, precisely because of their effectiveness and deterrence. In this work, first of all, the state of the art regarding Safety Distance control systems, which up to now have only been present on cars, is analyzed. The different methods of calculating the Safety Distance between vehicles are subsequently described. The method defined in this work is then presented, based on the remote detection of the Safety Distance on roads, especially at high speed, describing it with some figures. Here, we highlight the innovation of the system presented in this work, where, for the first time, a System for Remote controlling the Safety Distance is considered.

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Towards A Framework for Development of Operational and Maintenance Cost Model of Highway Project in Malaysia

Cited by 14 publications

References 17 publications

An Efficient Framework For Software Maintenance Cost Estimation Using Genetic Hybrid Algorithm: OOPs Prospective

An Efficient Framework For Software Maintenance Cost Estimation Using Genetic Hybrid Algorithm: OOPs Prospective

Effects of Wastewater Sludge Addition on Fired Clay Bricks: Enhancing Performance and Sustainable Construction Practices

Remote Safety Distance Control for Motor Vehicles

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