Intelligent System for Body Fat Percentage Prediction

Mahmoud A.; Nashaat K.

doi:https://doi.org/10.54216/JISIoT.050202

International Journal of Neutrosophic Science | 2023

An inclusive study on the fundamentals of interval-valued fuzzy hypersoft set

When compared to its extension, hypersoft set, a soft set only deals with a single set of attributes, while a hypersoft set deals with several attribute-valued disjoint sets that correspond to various attributes. Several researchers have developed models based on soft sets, but the majority of these models suffer from limitations since they are inappropriate for interval-type data or uncertain data. In order to address these issues, a novel model interval-valued fuzzy hypersoft set (IV F HS -set) is presented in this research article. This model not only resolves the inadequacy of soft set for distinct attributes for non-overlapping attribute-valued sets, but also addresses the limitations of soft set-like models with having data in interval environment. This work modifies the current fuzzy hypersoft set concept and introduces certain fundamental ideas, such as subset, not set, whole set, and absolute relative null set, relative absolute set and aggregation operations e.g. intersection, union, extended intersection, restricted union, complement, OR, AND, difference, restricted difference are discussed under IV F HS -set environment with illustrated examples. Some new hybrids of fuzzy hypersoft set under interval-valued settings are also discussed. Moreover, some extensions of IV F HS -set are presented along with different operations.

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Muhammad Saeed mail -

Florentin Smarandache mail -

Muhammad Arshad mail -

Atiqe Ur Rahman mail

link https://doi.org/10.54216/IJNS.200209

Volume & Issue

Vol. Volume 20 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2023

Seasonal Autoregressive Integrated Moving Average for Climate Change Time Series Forecasting

This study investigates the application of time series models, specifically ARIMA (Auto Regressive Integrated Moving Average) and SARIMAX (Seasonal Autoregressive Integrated Moving Average with eXogenous regressors), in the context of climate change. The ARIMA and SARIMAX models are mathematical methods that can be used to forecast future values of a time series related to climate change, taking into account trends and seasonality, as well as incorporating additional information through exogenous variables. The paper also delves into the mathematical foundations of the ARIMA and SARIMAX models, including the various operators used to eliminate trends, the use of lag polynomials to represent the autoregressive and moving average components of the model, and the incorporation of exogenous variables in the SARIMAX model. The study aims to provide a better understanding of the use of these models in analyzing and predicting the effects of climate change.

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Basant Sameh mail -

Mahmoud Elshabrawy mail

link https://doi.org/10.54216/AJBOR.080203

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

Details open_in_new

Journal of Sustainable Development and Green Technology | 2023

Governance Mechanisms, Gender Diversity and Banking Performance: The Case of French Banks

Today, there is a great deal of pressure on companies from public authorities, investors, and civil society to introduce more diversity. This criterion is the subject of binding regulations in various countries, to strengthen the presence of women in the management and governance of companies. Our study aims to investigate the results of governance mechanisms, especially board of directors ‘characteristics, on a bank’s performance. Specifically, we are examining how certain governance practices, such as gender diversity on the board and the CEO's dual role, affect a bank's performance. Indeed, these boards’ attributes are proven to reduce agency conflicts and enhance control mechanisms to serve in the best manner shareholders and contribute the better banks' performance. For our empirical methodology, we used panel data with a sample of 66 French banks observed during the period 2014-2018. The findings revealed a positive and statistically significant relationship between gender diversity and performance, as measured by the variable return on equity. We also discovered that director independence has a positive effect on performance. We observed a positive and significant effect on the bank's performance as a result of the CEO's duality. For control variables used: size and debt, the relationship with bank performance is positive with the size variable calculated as the log Book value of Total Assets. But the impact is negative between debt and banks' performance with low significance.

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Mohamed Bechir C. mail -

Nadia Mansour mail

link https://doi.org/10.54216/JSDGT.010103

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2022

Adopting Risk Management Professional Methodologies as an Effective Strategy to Protect Heritage Sites in Syria

Located at the crossroads of the Mediterranean with Nine millennia of civilization; Syria has had a rich, diverse, and stunning cultural legacy. There is an imperative to assess the current situation of Syrian heritage and develop a comprehensive and effective risk plan to protect this spectacular legacy due to the Syrian war. Considering each site as a single project, and adopting Risk Management Professional Methodologies as have been stated by Project Management Institute "PMI," we can effectively achieve valuable objectives through the following processes: 1) Plan Risk Management to develop the overall risk management strategy, 2) Identify Risks: Risk cannot be managed unless it is first identified, 3) Perform Qualitative Risk Analysis: To assess and evaluate characteristics of individually identified risks and prioritize them, 4) Perform Quantitative Risk Analysis for the most and critical sites, 5)  Plan Risk Responses to determine the set of actions and put strategies for both Threats and Opportunities, 6) Monitor Risks to ensure the risks plans are executed at the appropriate time and evaluate their effectiveness

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Nesrine M. Roumieh mail -

Sonia Ahmed mail

link https://doi.org/10.54216/IJBES.050104

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2022

Proposing a Methodology to Measure and Develop BIM Maturity in Syria

In the last decade, the projects of the Architectural, Engineering, and Construction Industry (AEC) in Syria faced endless difficulties and problems, in addition to the intense competition between the construction sector companies. This prompted many companies to want to adopt best practices to reach their goals, therefore any work organization should have a clear vision of what it wants to achieve, for what purpose, and how? Building Information Modeling (BIM) around the world has proven its ability to solve all the problems facing engineering projects. Unfortunately, AEC companies despite all that great value did not use BIM. For many reasons, mainly: there is no comprehensive descriptive approach that explains how to apply it and a mechanism that shows how to measure and develop it within companies, in addition to their fear of adopting modern technologies that push them to need new engineering competencies because of not realizing its importance. The purpose of this research is to propose a methodology to measure and develop BIM maturity in Syria in general. In addition, to assess the level of maturity of our institutional BIM through the BIMM maturity matrix in particular. This is done by applying the most important models for measuring maturity around the world on a number of Syrian AEC companies in the private and public sectors. Analyzing the performance of BIM in it, comparing the results, and assessing the level of institutional maturity. Then conducting analyses and comparisons based on these conclusions and making additional recommendations and proposals to develop the matrix in accordance with practical reality in order to reach the optimal and integrated level for construction projects

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Aya Amino mail -

Sonia Ahmad mail

link https://doi.org/10.54216/IJBES.050105

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2022

The Effectiveness of Applying BIM in Increasing the Accuracy of Estimating Quantities for Public Facilities Rehabilitation Projects in Syria After the War

Public facilities rehabilitation projects are the most discussed projects among humanitarian organizations working in Syria in the field of post-war rehabilitation. Since education is a basic right for every child, there is an urgent need for school rehabilitation projects, especially after the massive destruction caused by the war in Syria in the past decade. BIM technology has been used in the past years because it is an integrated and effective process for planning, studying, and implementing projects. However, BIM has not been properly used in the study of post-war rehabilitation projects, especially in developing countries. This research discusses the effectiveness of applying BIM in the rehabilitation projects of public facilities in Syria after the war by increasing the accuracy of quantities estimation for these projects. The main results indicate that the application of BIM in the Al-Ejref school rehabilitation project in the Al Qunaitra governorate represents great potential in increasing the accuracy of quantity estimation, as the traditional methods are limited and have a large margin of error.

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Michel Saada mail -

Hala Aslan mail

link https://doi.org/10.54216/IJBES.050201

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

International Journal of BIM and Engineering Science | 2022

Achieving Optimal Lighting to Improve the Functional Performance of the Museum Using Computer Simulation Case Study: Lattakia Museum in Syria

Is it possible to achieve optimal lighting in the museum space, which improves its functionality? And how is that done? This article discusses the previous question to achieve specific purposes: highlighting the importance of lighting in public buildings, especially in museums, and emphasizing the importance of using computer technology in the process of studying and proposing solutions that contribute to improving the performance of lighting in the museum (Lattakia museum in Syria as a case study). The study method is concerned with the use of environmental analysis software (ECOTECT Desktop RADIANCE) applied to the case study, which leads us to main results that can be  summarized in: emphasizing the role of lighting in the process of optimal performance in the museum in the event that the lighting is natural, and choosing the appropriate lighting element in the event that the lighting is artificial, which later recommends the architects or designer the necessity of conducting research and design studies on natural and industrial lighting in the design stage to upgrade the museum to perform the optimal performance of the View exhibits process.

groups

Mohammed Younes Younes mail

link https://doi.org/10.54216/IJBES.050202

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

International Journal of BIM and Engineering Science | 2022

PV Pre-cooling System for the Engineers Association Branch in Latakia

This study presents pre-cooling technology using a solar photovoltaic energy system where the increasing in air-conditioning demand during summer results in a rise in the amount of electrical energy consumed from the electric network, as well as an increase in electricity bills. Air conditioners are operated in governmental facilities during official working hours, at the time of the peak demand for electricity, when electric costs are the highest. In order to shift the cooling demand out of the peak period into a lower electric cost period, reducing the energy consumption of the building and the value of the electricity bills, this study was conducted on the technology of pre-cooling using solar photovoltaic energy system. The Engineers Association Branch in Latakia was conducted as a case study. The results showed that applying the Photovoltaic (PV) pre-cooling system led to a significant decrease in the cooling demand during thek hours, and reduces the daily consumption of the electric power from the electric system, as the demand was decreased from 85 kWh to 21,250 kWh. Besides, the value of the electricity bills was decreased by 83%. Pre-cooling lowered the PV system capacity that was needed to operate the building's air conditioning equipment by 50%. A reduction of 42.5 kg of CO2 emissions per day could be achieved using PV-pre-cooling system.

groups

Rand Ismail mail -

Doha Jdeed mail -

Bilal Zaarour mail

link https://doi.org/10.54216/IJBES.050203

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

Journal of International Economics Research | 2026

Social Media Effectiveness in Museum Marketing: Evidence from Major Museums in Uzbekistan

Although research on digital marketing with social media is extensive, few studies have focused on the effectiveness of museum marketing through the application of PLS-SEM. The present study opens broad opportunities for the integration of social media analytics in museum studies, including the role of audience engagement and content quality and their impact on visitor intention in responding to digital campaigns.  The purpose of this study is to examine the role of social media engagement and perceived value in achieving marketing effectiveness in responding to the museum audience. Collected survey data were subjected to a detailed PLS-SEM analysis to estimate the conditional probability that a latent construct has a significant effect, given the values of one or more of its observed indicators. In order to analyze user perceptions and behavioral responses while also including platform-related factors, certain constructs and indicators were combined with the measurement set defined by prior literature, which resulted in the structural equation model. The results show that visitors’ favorable perceptions of the museum and their online interactions show that content quality positively influences the formation of their behavioral intention through the mediating effect of social media engagement toward brand awareness, visitor satisfaction, and revisit intention. Moreover, understanding the effectiveness of social media for museum marketing in relation to the structural model of user behavior is a contribution to the literature that may help future researchers achieve faster empirical validation. This study can also benefit museum managers as it provides practical insights such as content optimization strategies to improve the use of the social media model and it contributes to the existing literature in the area of digital marketing and cultural promotion in general.

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Nigora Abdurashidova mail

link https://doi.org/10.54216/JIER.040103

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2021

Intelligent System for Body Fat Percentage Prediction

Excessive fats in human body results in obesity, which is generally linked to various illness like heart diseases, diabetes, etc. Therefore, determining the quantity of body fat becomes essential to save the human health. Though numerous approaches are available in determining body fat percentage (BFP), intelligent and accurate models can be designed using artificial intelligence (AI) techniques. Conventional single stage methods utilized particular readings from the body or explanatory parameters in predicting BFP. In this view, this study develops a new Gravitational Search Optimization with Neutrosophic rule-based Body Fat Percentage Prediction model. The presented model intends to appropriately determine the level of BFP in an effective and automated way. To accomplish this, the proposed model follows a two-stage process namely prediction and parameter optimization. At the initial stage, the model derives a new neutrosophic set based rule classifier to determine the BFP. Secondly, the membership function in the rule based model is optimally chosen by the use of GSO algorithm and thereby results in enhanced predictive outcomes of the classification model. A wide ranging simulation analysis is performed and the results are inspected under several dimensions.

groups

Mahmoud A. Zaher mail -

Nashaat K. ElGhitany mail

link https://doi.org/10.54216/JISIoT.050202

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new