An investigation into the effect of cybersecurity on attack prevention strategies

Mohammed I.

doi:https://doi.org/10.54216/JCIM.030203

International Journal of BIM and Engineering Science | 2020

Analysis of Barriers and Drivers for BIM Adoption

Research on 'digitalization and collaboration' in the construction industry has been gaining momentum in the recent academic engagements. Despite its existence in many industries (i.e. financial services, retailing, publishing and travelling) for over ten years, it is yet to catch up by the construction market; this is due to several challenges whose existence are more dynamic and contextual than generic to various countries. The problems are defined in many studies across borders, but their impacts varied with countries. This case is equally the same to drivers toward the adoption of BIM. This study analyses barriers and drivers to BIM adoption in the Nigerian construction industry from adopters and non-adopters perspectives as to allow an informed decision in developing a strategy for macro BIM adoption. Primary data fetched from professional stakeholders through an online questionnaire survey were analysed using SPSS software and Microsoft Excel. This investigation reveals the most significant barriers against BIM adoption as Lack of expertise, Lack of standardization and protocols to mention but a few. And, most influential drivers from both adopters and non-adopters as Availability of trained professionals to handle the tools, Proof of cost savings by its adoption, BIM Software affordability, and awareness of the technology among the industry stakeholders. The adopters and non-adopters groups have nearly equal Percentage Disagreement (PD) and Percentage Agreement (PA) for both the barriers and drivers to BIM adoption. Thus, this suggests that the adopters are still at the early stage of BIM adoption, so have nearly the same perceptions with the non-adopters. The study recommends proper consideration of the established barriers and drivers while developing any strategy for effective BIM adoption. Further face-to-face (interview) study is necessary to explore more and in-depth challenges to adoption of BIM in the industry; and as the industry is getting more aware of the BIM, periodic evaluation of the critical barriers and drivers is vital.

groups

Mansur Hamma-adama mail -

Tahar Kouider mail -

Huda Salman mail

link https://doi.org/10.54216/IJBES.030102

Volume & Issue

Vol. Volume 3 / Iss. issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2021

The Vulnerability of the Construction Ergonomics to Covid-19 and Its Probability Impact in Combating the Virus

Currently, the world encounters the outbreak of an unprecedented epidemic named novel coronavirus COVID -19. World Health Organization (WHO) advises maintaining social distancing, preserving personal hygiene, and staying informed with the latest guidelines. WHO also reports the patients with robust immunity can combat the virus. However, the workers in the construction industry work and live in a crowded and non-hygiene environment. Moreover, they are characterized by illiteracy, a dearth of awareness, and chronic health problems that prove weak immunity. Therefore, this study aims to find the relationship between the virus and the prevailing conditions and the environment of the construction industry, under focus, and study so that the construction industry is not a vulnerability gap that may exacerbate the crisis. An extensive literature exploration for the latest research deals with coronavirus, the construction industry ergonomics, and its relevant diseases. This study makes robust alerts to motivate the governments, organizations, and individuals to collaborate to find solutions to close the gap between the current situation in the construction of ergonomics and the required precaution to avoid the outbreak of the virus. This study makes a crucial and novel contribution by paving the way for providing solutions to save humanity worldwide. The management system should review the conventional risk assessment procedures, and developed criteria must be introduced and become an everyday practice of all construction projects. This will help identify the gaps within the safety procedures associated with the COVID – 19 protection aspects. This article also introduces a framework in this regard.

groups

Ahmed Fahim Elgendi mail -

Ashraf Elhendawi mail -

Waleed Mahfouz M. A. Youssef mail -

Abdul Salam Darwish mail

link https://doi.org/10.54216/IJBES.040101

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2021

The static model of inventory management without a deficit with Neutrosophic logic

In this paper, we present an expansion of one of the well-known classical inventory management models, which is the static model of inventory management without a deficit and for a single substance, based on the neutrosophic logic, where we provide through this study a basis for dealing with all data, whether specific or undefined in the field of inventory management, as it provides  safe environment to manage inventory without running into deficit , and give us an approximate ideal volume of inventory. Since the ideal size is affected by the rate of demand for inventory, we present in this paper a study of the rate of demand for inventory when it is not precisely defined, and we find that the  indeterminate values of the demand rate cannot be ignored, because they actually affect determining the ideal size of inventory and calculating its costs, thus affecting on the efficiency of the facility and achieve great profits for it.

groups

Maissam Jdid mail -

Rafif Alhabib mail -

A. A. Salama mail

link https://doi.org/10.54216/IJNS.160104

Volume & Issue

Vol. Volume 16 / Iss. Issue 1

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2021

Data with Turiyam Set for Fourth Dimension Quantum Information Processing

Recently, neutrosophic set is considered as one of the prominent tool to deal with human cognition in three-way fuzzy space. This set has given a way to characterize the human cognition in conscious, unconscious, or indeterminate state. The problem arises when a person realizes all of three states independently as silent mode. It is observed at voting time of Indian democratic system where some people vote in a favor of a party, do not vote in favor of a party, being absent and choose none of the above. The last consciousness is turiyam state which is independent from all. It also observed at time of feedback or rating given by an expert towards which used to based on internal communication rather than true, false and uncertain activity. The internal communication which prvodies the opinion towards rating about any organization or employee is called as Turiya or Fourth dimension cognition. This paper try to introduce this fourth dimension of human cognitions as a new set called as Turiyam set with its graphical visualization via an illustrative example. 

groups

Prem Kumar Singh mail

link https://doi.org/10.54216/JNFS.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research | 2021

Customer Churn Prediction using Sandpiper Optimization with Bidirectional Gated Recurrent Unit for Business Intelligence

Recent innovation in business intelligence (BI) assists companies to stay successful and competitive with the increasing business trend. Businesses have started to examine the succeeding level of data analytics and BI solution. At the same time, Customer Churn Prediction (CCP) is an essential procedure involved in business decision making that effectually determines the churn of clients and performs adequate processes to retain customers. With this motivation, this paper presents a sandpiper optimization with the bidirectional gated recurrent unit (SPO-BiGRU) for CCP on BI applications. The SPO-BiGRU model aims for determining the occurrence of customers into churners or non-churner. In addition, the SPO-BiGRU technique involves pre-processing, classification, and hyperparameter optimization. Followed by, the BiGRU model is applied to perform the predictive process. At last, the SPO algorithm is applied to optimally adjust the hyperparameters involved in the BiGRU model. For validating the enhanced performance of the SPO-BiGRU method, a wide range of simulations take place and the results are inspected under varying aspects. The experimental results portrayed the supremacy of the SPO-BiGRU technique over the recent state of art approaches.

groups

Akbal Omran Salman mail -

Mazin Abed Mohammed mail

link https://doi.org/10.54216/AJBOR.060103

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2022

Neutrsophic Health Analysis in Times of COVID-19

The current COVID-19 pandemic represents a danger for which efforts have been joined to find an effective treatment. This pandemic has evolved so quickly that new data emerge daily on the number of sick and fatal cases. As of September 2021, more than 180 countries with positive COVID-19 cases have been notified to the World Health Organization, including 228,807,631 confirmed cases, including 4,697,099 deaths. So far, the Americas region is the most affected with a total of 88,207,746 confirmed cases, and during this period, Ecuador has reported 246 new infections on average each day, for a total of 507,003 infections and 32,661 deaths. To date, dissimilar methods and treatments have been used to mitigate its effects. However, no effective treatment option has been found against it, generating uncertainty, social panic, and impacts on the population's mental health as a result of the fear of infection and death. That is why the present work focuses on analyzing and determining the alternatives for the control of detection of the pandemic, through the processing of the neutrosophic TOPSIS method. It offers many benefits in the analysis of neutralities to the study of indeterminacies in the field of Medicine. The processing using neutrosophic methods allowed obtaining the best alternative to fight against COVID-19.

groups

Marcelo Viteri Villa mail -

Lester Wong Vázquez mail -

Roberto Zúñiga Viteri mail

link https://doi.org/10.54216/IJNS.1803019

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

Details open_in_new

American Journal of Business and Operations Research | 2022

An Innovative Additive Mathematical Model Using Auxiliary Information

This article proposes innovative ratio and regression estimators based on additive randomized response model. Expressions for the biases and mean squared errors of the recommended estimators are derived. It has been revealed that the advised groundbreaking ratio and regression estimators are improved than ratio and regression estimators under a very realistic condition. Numerical illustrations and simulation study are also given in support of the present study.

groups

Tanveer A. Tarray mail -

Javid Gani Dar mail -

Ishfaq S. Ahmad mail

link https://doi.org/10.54216/AJBOR.060201

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2022

Business Intelligence for Risk Management: A Review

This paper provides a quick review about business intelligence approaches and techniques in risk management. The important research articles from 2007 to 2021 are involved in this review. We found a little contribution from researchers in this research direction, however the vital role of business intelligence in risk management. Moreover, we provide a novel business approach for risk management.  This approach includes deploying the trendiest techniques in this era which are social media and big data analysis. Social media represents the source of identifying risks through the discussions of social media users as well as big data analysis techniques which represent the control tool for potential risks. The new approach will help firms and organizations in many sectors to manage risks efficiently and make the best decisions. Further, we provide the challenges of the new framework and the further research points. 

groups

Abdelaziz Darwiesh mail -

A.H. El-Baz mail -

A.M.K. Tarabia mail -

Mohamed Elhoseny mail

link https://doi.org/10.54216/AJBOR.060202

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2022

Vocal Analysis and Sentiment Discernment using AI

One of the major factors for personal development and growth is understanding human emotions, and therefore it plays an important role in imitating human intelligence. Vocal and Sentiment analysis are the major focus points for advancement in Artificial Intelligence (AI). Sentiment analysis provides major help to data analysts of big enterprises to measure public opinion, conducting market research, understanding customers experience and viewing brand and product reputation. Emotion recognition provides an opportunity to grasp the general people’s sentiments about social events, marketing strategies, political views and product liking. In this paper, we have used various AI models on a variety of audio datasets to recognise and analyse the sentiments of the speaker. Our dataset includes some audio songs sung by some singers and some audio clips of few actors. We trained CNN and LSTM models to analyse our dataset and predict their accuracy. The ever-growing need of sentiment analysis coincides greatly with the extension of social media such as forum discussions, social networks like Facebook, Twitter, Instagram and many other similar platforms.

groups

Praveen Singh mail -

Preeti Nagrath mail

link https://doi.org/10.54216/FPA.070204

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2020

An investigation into the effect of cybersecurity on attack prevention strategies

Our economy, infrastructure and societies rely to a large extent on information technology and computer networks solutions. Increasing dependency on information technologies has also multiplied the potential hazards of cyber-attacks. The prime goal of this study is to critically examine how the sufficient knowledge of cyber security threats plays a vital role in detection of any intrusion in simple networks and preventing the attacks. The study has evaluated various literatures and peer reviewed articles to examine the findings obtained by consolidating the outcomes of different studies and present the final findings into a simplified solution. 

groups

Mohammed I. Alghamdi mail

link https://doi.org/10.54216/JCIM.030203

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new