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AI-Driven Smart Homes: Challenges and Opportunities

As AI-based smart homes become increasingly popular, there is a need to better understand the benefits and challenges of this emerging technology. A survey on AI-based smart homes can provide valuable insights into user needs, adoption rates, user satisfaction, barriers to adoption, and opportunities for innovation. This research overviews the cutting-edge literature on smart home development with an emphasis on the utilization of artificial intelligence (AI) approaches in this application area. We begin with a review of AI technologies and the smart home necessities needed to implement AI. Then, we introduce several applications of AI for smart homes and describe the most popular approaches already present in literary works. The open Issues (e.g., security and privacy, data collection and sharing, data analytics, and latency) meeting the development of smart homes are also discussed in this work. Finally, the paper suggests some directions for future study that could be fruitful.

groups
Waleed Abd Elkhalik mail
link https://doi.org/10.54216/JISIoT.080205

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

Details open_in_new

Proposing a Framework for Introducing the Concept of Engineering Digitization to Develop Curricula: Case Study - Tishreen University, Faculty of Civil Engineering

The emergence of Building Information Modeling (BIM) technology has made a major development in the fields of engineering and construction and has provided a means for documentation and design management throughout the building's life cycle. Despite this, the construction sector suffers from a clear shortage of specialists equipped with work skills, and therefore there is a gap and lack of skills. In order to meet the future needs for the skills of using (BIM) technology in the labor market, it was necessary to take serious steps to introduce BIM in education programs in Syrian universities to prepare future specialists, so this study aimed to identify the current reality of teaching Building Information Modeling (BIM) and to identify obstacles and challenges that prevent the application of (BIM) and propose a framework for introducing the concept of engineering digitization to develop curricula at Tishreen University, Faculty of Civil Engineering. The study used the descriptive survey method, and to collect data, two questionnaires were developed, which were applied to a sample of (32) faculty members from all disciplines of the Faculty of Civil Engineering. The study also used the statistical package for social sciences (SPSS) program to analyze the results of the questionnaire. The study showed a positive awareness of the culture of building information modeling among the various disciplines of civil engineering, despite the presence of many challenges and obstacles facing the implementation of BIM, and the study provided a general framework for the integration of building information modeling (BIM) technology with curricula The most important recommendations indicate the need to enhance awareness of the BIM culture and its applications by offering specialized training courses for academics in the use of modern technological tools based on BIM as an effective educational tool that can be integrated into the teaching curricula.

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Fotoun Ahmaad Dalloul mail -
Lama Adel Saoud mail
link https://doi.org/10.54216/IJBES.060103

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Survey of Artificial Intelligence of Things for Smart Buildings: A closer outlook

Artificial Intelligence of Things (AIoT) is a term used to describe the integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies. AIoT combines the capabilities of AI algorithms with the data generated by IoT devices to enable real-time decision-making and automation of various processes. Smart buildings refers to a type of building that utilizes advanced technologies to improve its efficiency, performance, and functionality of indoor tasks in a way that provide a safe and comfortable environment for occupants. This paper provides an overview of the research literature on AIoT technologies that is contribute to the development of smart buildings and their functionality. We discuss the benefits of AIoT empowered smart buildings, which include reduced energy consumption and costs, improved occupant comfort and productivity, and increased safety and security. we also discusses the challenges associated with the deployment of AIoT in smart buildings, including data privacy and security concerns, interoperability issues, and the need for specialized expertise. Further,  we discuss the promising areas of future research that pave the way for further research on AIoT empowered smart buildings. We concludes our work with a discussion of the potential for AIoT empowered smart buildings to contribute to the sustainability of cities and improve the quality of life for their occupants.

groups
Ahmed Sleem mail -
Ibrahim Elhenawy mail
link https://doi.org/10.54216/JISIoT.080206

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

Details open_in_new

Securing Wireless Sensor Networks Against DoS attacks in Industrial 4.0

Wireless Sensor Networks (WSNs) play a vital role in Industrial 4.0 by facilitating significant data collection for monitoring and control purposes. However, their distributed and resource-constrained nature makes WSNs vulnerable to Denial-of-Service (DoS) attacks, which can impede their normal operation and jeopardize their functionality. To address this issue, we propose a new machine learning (ML) approach that enhances the security of WSNs against DoS attacks in Industrial 4.0. Our approach incorporates a spatial learning unit, which captures the positional information in WSN traffic flows, and a temporal learning unit which captures time interdependency features within periods of traffic flows. To evaluate the proposed approach, we tested it on a publicly available dataset. The results demonstrate that it achieves a high detection rate while maintaining a low false alarm rate. Moreover, our Intrusion Detection System (IDS) exhibits good scalability and robustness against various DoS attacks. Our approach provides a reliable and effective solution to secure WSNs in Industrial 4.0 against DoS attacks and can be further developed and tested in various real-world scenarios.

groups
Ossama H. Embarak mail -
Raed Abu Zitar mail
link https://doi.org/10.54216/JISIoT.080106

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

Details open_in_new

The Neutrosophic Hyperbolic Functions

This paper aims at studying the neutrosophic hyperbolic functions, wherein the neutrosophic hyperbolic functions are defined, also, neutrosophic hyperbolic identities were discussed, in addition to introducing the rules of derivatives and integrals of the neutrosophic hyperbolic functions and inverse neutrosophic hyperbolic functions, also, logarithmic forms of inverse neutrosophic hyperbolic functions were presented.

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Yaser A. Alhasan mail -
Iqbal A. Musa mail -
Eman A. Abdelgawad mail -
Suliman Sheen mail
link https://doi.org/10.54216/IJNS.200304

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

The Integration of Rational and Irrational Neutrosophic Functions

The purpose of this article is to study the integration of rational and irrational neutrosophic functions, where integration of standard rational neutrosophic functions discussed through three cases, in addition, integration of standard irrational neutrosophic functions were introduced through seven cases.

groups
Yaser A. Alhasan mail -
Iqbal A. Musa mail -
Eman A. Abdelgawad mail -
Suliman Sheen mail
link https://doi.org/10.54216/IJNS.200305

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

Multi-Valued Neutrosophic Sets for Forecasting Cryptocurrency Volatility

The media, legislators, investors, scholars, and regulatory agencies have all shown increased interest in the Cryptocurrency sector recently. Using different criteria in furthermore to return and risk in the cryptocurrency issue utilizing the multi-criteria decision-making (MCDM) methodologies makes it more practical in the real world. A model for predicting the volatility of cryptocurrencies is proposed in this study, and it is based on the TOPSIS approach. The model uses five criteria and six cryptocurrencies. Using a multi-valued neutrosophic set, also known as MVNS, helps to reduce the amount of uncertainty associated with the problem. MVNS was used to express the criteria and alternatives, and the model might possibly represent the Cryptocurrency with varying degrees of truth, indeterminacy, and falsity values.

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Noura Metawa mail -
Rhada Boujlil mail -
Maha Metawea mail
link https://doi.org/10.54216/IJNS.200306

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

A Neutrosophic AHP Analysis for Using Video Conferences in Smart Learning: A Systematic Review

There is evidence that students feel less involved in distance learning, which needs more work from their educators. While distance education allows learners to feel less reluctant and/or timid to ask questions, there is also evidence that students feel less interested in distance education. Students may obtain information and knowledge at their own pace and convenience via the use of distance education. Also, it may assist in reaching the same overall performance and ultimate score as would be achieved via face-to-face instruction. The goal of this study analyzes the performance of video conferences in smart learning. This analysis contains many criteria, so the concept of multi-criteria decision-making is integrated with the neutrosophic sets to overcome uncertain information. We used the neutrosophic AHP to show the importance of each criterion. There are seven criteria used in this paper. The findings demonstrated that the utilisation of video conferences enabled students to gain access to information and educational resources, had a positive effect on the students' constructing knowledge and critical reflection, and resulted in the students reporting an extremely positive learning experience in the context of smart learning.

groups
Najla M. Alnaqbi mail -
Samira A. Alnuaimi mail -
M. Elhoseny mail
link https://doi.org/10.54216/IJNS.200307

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

Generalized Pre-closed Sets in Fermatean Neutrosophic Hypersoft Topological Spaces

The motivation of this article is to develop a new idea namely generalized pre-closed sets in Fermatean Neutrosophic Hypersoft topological spaces. Also, we initiate the idea of generalized pre-open set in Fermatean Neutrosophic Hypersoft topological spaces and its characterizations are analyzed.

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P. Reena Joice mail -
M. Trinita Pricilla mail -
S. Broumi mail
link https://doi.org/10.54216/IJNS.200308

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

Optimal Value of the Service Rate in the Unlimited Model M\M\1

Operations research is the applied side of mathematics, and since its inception it has helped to improve the performance of many systems that used its methods in its workflow, one of the methods of operations research is the theory of queues that have been used in many aspects of life, especially the aspects that are directly related to customer service, and the goal is to serve the customer as soon as possible and at the lowest cost, which prompted many researchers to provide   the  research and studies that can be applied in systems that have a queue.These studies showed good results, from these studies this research is  presented to find the optimal value of the service rate in the unlimited model  according to classical logic, we present in this research a study to find the relationship through which we get the optimal value of the service rate using neutrosophic logic and this study is an expansion of the study according to classical logic, through the two studies  The great benefit we get when using neutrosophic logic and neutrosophic values in operations research topics is demonstrated.

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Maissam Jdid mail -
Khalifa AlShaqsi mail
link https://doi.org/10.54216/JNFS.060101

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new