Proposing a Methodology to Measure and Develop BIM Maturity in Syria

Aya; Sonia

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

Journal of Artificial Intelligence and Metaheuristics | 2022

Smart Garbage Monitoring System using IoT

The Internet of Things (IoT) will be able to integrate a wide range of various and heterogeneous end systems transparently and smoothly, while also offering open access to chosen subsets of data for the creation of a wide range of digital services. Solid waste management, which apart upsetting the ecological balance also has negative consequences on societal health, has been one of the key environmental issues. One of the main issues in the modern era is the identification, monitoring of wastes. The conventional method of manually checking the wastes in bins requires more human labor, takes longer, and costs more money. It is in no way compatible with modern technologies. This is a cutting-edge approach to automated garbage management. This project IoT Garbage Monitoring system is a very innovative system which will help greatly in preserving the environment and also makes us benefit from garbage and sell it on form raw materials to be recycled again by recycling factories. System is linked to an android application to show us the current level of each type of garbage using Ultrasonic Sensor and give a warning when the level of any of them is filled.

groups

Marwa Eid mail -

Omnia M. Osama mail -

Mariam H. Amin mail

link https://doi.org/10.54216/JAIM.020203

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2023

Enhanced Active Queue Management‑Based Green Cloud Model for 5G system using K-Means

The most unique and important design considerations in 5G cloud computing are the delay, energy consumption, and throughput. Therefore, most recent studies focused on boosting delay and energy consumption, and throughput using edge computing. The active queue management-based green cloud model (AGCM) is one of the most recent green cloud models that decreases the delay and sustains a stable throughput. Also, Mobile edge computing (MEC) is an essential cloud computing model for mobile users to meet the continuous growth of data requests. Thus, we offer a handoff scenario between the AGCM and MEC to assess the possible benefits of such collaboration and enhance its effects on the fundamental cloud restrictions such as delay and throughput. Accordingly, the proposed algorithm is named Enhanced Active queue management-based green cloud model (EAGCM). The proposed EAGCM regards incorporation between Kmeans and AGCM. The simulation results indicate that the proposed EAGCM serves mobile users efficiently, enhances the throughput, and reduces latency compared to AGCM and the cloud for 5G systems.

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Alshimaa H. Ismail mail -

Germien G. Sedhom mail -

Zainab H. Ali mail

link https://doi.org/10.54216/IJWAC.060206

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2023

Photonic Crystal Circuitry and its Impact on Wireless Networks

Wireless networks are considered a hot topic in dealing with data without need to routers or other infrastructures. Each node has a part of routing responsibility. This result to a huge of data in forwarding to other nodes and will need high speed to process.  Photonic crystal applications come to solve the necessity for such speed with small circuitry area. One of the main factors that affect their operation is the structure topology. Ring resonator, cavity based structures, self-collimation, and waveguide approaches are some of these topologies.  OR gate is proposed in this paper to be simulated and evaluated as one of the basic element block. This design is built on a square lattice- photonic crystal construction on a ring resonator basis. Rotation of 90, 180, and 270 degrees are applied in clockwise direction. Sensitivity analysis, and carefully rod locations are considered to obtain remarkable performance. Minimum size and highly data rate are two characteristics that discriminates this design. The minimum size of 51.48 μm2 is obtained. The bit rates of 1.35, 6.35, 3.2, and 2.53 Tb/s are calculated with the 0, 90, 180, and 270 degrees, respectively. Comparison table is well organized for the recently published photonic crystal OR-gate that based on ring resonator. Finite difference time domain and Plan wave expansion method are used to analyze the proposed structure at 1.55μm wavelength to verify OR- gate operation.    

groups

Tamer S. Mostafa mail -

Shaimaa A. Kroush mail -

El- Sayed M. El- Rabaie mail

link https://doi.org/10.54216/IJWAC.060106

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2023

Classification of Diabetic Foot Thermal Images Using Deep Convolutional Neural Network

Diabetic foot (DF) is one of the most common chronic complications of poorly controlled diabetes mellitus (DM). Early diagnosis of DF and effective treatment is usually difficult by traditional approaches. Lately, it has been found a strong relationship between temperature variation and diabetic foot ulcer emergence. Thus, the current study focused on monitoring the temperature of feet using thermal images and its analysis techniques. The proposed system was based on employing a deep convolutional neural network (CNN) on thermal foot images. Experimental results showed that the proposed CNN has a maximum accuracy of 99.3% with minimum losses. When comparing the proposed system to other relevant systems, the proposed system approved greater accuracy, lower elapsed and testing time, which offers an automatic diagnostic tool for the diabetic foot and differentiates between its types. Thus, a simple, cost-effective, and accurate computer aided design (CAD) system could be presented to get a valuable system for the clinicians in hospitals.

groups

Reem N. Yousef mail -

Marwa M. Eid mail -

Mohamed A. Mohamed mail

link https://doi.org/10.54216/JISIoT.080102

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2023

Skin Cancer Detection using Neutrosophic c-means and Fuzzy c-means Clustering Algorithms

Melanoma is the kind of skin cancer that poses the greatest risk to one's life and has the maximum mortality rate within the group of skin cancer disorders. Even so, the automated placement and classification of skin lesions at initial phases remains a complicated task due to the lack of contrast melanoma molarity and skin fraction and a greater level of color similarity among melanoma-affected and -nonaffected areas. Contemporary technological improvements and research methods enabled it to recognize and distinguish this type of skin cancer more successfully. A clustering technique called neutrosophic c-means clustering (NCMC) is presented in this research to group ambiguous data in the detection of skin cancer. This algorithm takes its cues from both fuzzy c-means and the neutrosophic set structure. To arrive at such a structure, an appropriate objective function must first be created and then minimized. The clustering issue must then be stated as a restricted minimization problem, the solution of which is determined by the objective function. This paper made a comparison between NCMC and fuzzy c-means clustering (FCMC). The results show that the NCMC is more suitable than the FCMC.

groups

Ahmed Abdelhafeez mail -

Hoda K. Mohamed mail

link https://doi.org/10.54216/JISIoT.080103

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

Details open_in_new

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.

groups

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.

groups

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.

groups

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

groups

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

groups

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