ASPG Menu
search

American Scientific Publishing Group

Research Feed

Found 3841 matches for "All Articles"
Galoitica: Journal of Mathematical Structures and Applications | 2023

An Introduction To The Symbolic 3-Plithogenic Modules

The objective of this paper is to define and study for the first time the concept of symbolic 3-plithogenic module based on symbolic 3-plithogenic sets and classical modules.Also, many related substructures will be defined and handled such as AH-functions, AH-submodules, and symbolic 3-plithogenic homomorphisms.

groups
Rozina Ali mail -
Zahraa Hasan mail
link https://doi.org/10.54216/GJMSA.060102

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new
International Journal of BIM and Engineering Science | 2023

Teaching BIM as an Integrated Multidisciplinary Program (Case Study Syrian Virtual University)

Although Building Information Modeling (BIM) is widely adopted all over the world, it is still considered a new approach in Syria, and only a few educational institutions apply it. Therefore, it is important to publish academic studies on BIM models and to train new professionals who can implement BIM in the architecture, construction, and operation sector (AECO). This study aims to measure the maturity of BIM at the Syrian Virtual University (SVU) in order to evaluate and develop the Building Information Modeling and Management (BIMM) master's program. The research methodology is based on measuring maturity using a maturity measurement tool for higher education institutions (BIM maturity matrix for higher education institutions or BIM-HEI), in addition to distributing an electronic questionnaire to BIMM master's students, with a sample size of 93 students. Based on the results of the maturity measurement and respondents' answers, this study proposes recommendations and proposals to develop the master's program. Furthermore, it presents a new contribution by presenting a successful model for teaching BIM in universities, which can serve as an example for educational institutions in Syria to plan and adopt BIM in their curricula, while properly disseminating and adopting the BIM culture within their universities.

groups
Raghad Safour mail -
Sonia Ahmed mail
link https://doi.org/10.54216/IJBES.060104

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new
Journal of Sustainable Development and Green Technology | 2023

Digital Technology Employment in Small Business Entities

Digital Transformation is today’s hot process in small business entities like logistics companies, for instance.  This trend is happening not only in Uzbekistan but all over World as well. Each second automotive and cutting-edge technologies are being created to maintain the delivery of products to the real customers as quick as possible. Likewise, Logistics companies are encountering largescale automation of corporate information system and trying to be more resistant in the competitive market with the help of digitalization. Likewise, the challenges of automation, new technology and the future of work are some of the most important facing workers today. For trade unions, we must be strong enough to be able to shape change. Understanding potential impacts and opportunities for our members and preparing the appropriate responses are key. This includes enhancing our engagement with industry partners and identifying appropriate education, training and capacity-building needs of our members and workers in the transport chain. Transport workers of today and tomorrow must be equipped with the required knowledge, skills, and expertise for the jobs of tomorrow. In spite of the having of hundreds of research works in this field, there are still a bit uncertainty in understanding the employing the digitalization in small business entities (logistics companies as example). This article reflects the development of digital logistics and transport in the process of globalization, and thus shows how to adapt the concept of information and communication technologies. Moreover, shedding light on the role of information and communication technology (ICT) in the logistics innovation process of small and medium sized logistics companies.

groups
Shadibekova Dildor mail -
Ismoilov Narimonjon mail
link https://doi.org/10.54216/JSDGT.010205

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new
Journal of Cognitive Human-Computer Interaction | 2023

Optimization of Performance Attributes Using RTDA Controller for Dual CSTR

The abstract of this work is to design an alternative control scheme – RTD-A, that combines the simplicity of PID controller with technical – brilliance of MPC controller by avoiding the tuning problems associated with both, for a highly used industrial process, Dual CSTR. Continuous stirred-tank reactor (CSTR), is a standard process used in chemical industries/engineering and environmental engineering. Cascading two CSTRs will lead to decrease in cost and volume when compared to single CSTR. In the proposed work, the temperature control of coupled CSTR is attempted by implementing PID, adaptive control, MPC, and the new generation RTD-A controllers. The performance of the proposed control schemes is compared and it is proved that the RTDA controller outperforms the other control schemes in terms of settling time and ISE.

groups
Pream Anand S. mail -
Manamalli D. mail -
Vasanthi D. mail -
Mythily M. mail -
Naveen N. E. mail
link https://doi.org/10.54216/JCHCI.050101

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new
Journal of Cognitive Human-Computer Interaction | 2023

Prediction of Cardiovascular Disease using DeepLearning Algorithm

The leading cause of death, which affects millions of individuals globally is the cardiovascular disease. Heart problems are a major issue in health care, particularly in the field of cardiology. Due to a number of risk factors, including diabetes, high blood pressure, high cholesterol, an irregular pulse rate, obesity, and smoking, cardiac illness is difficult to detect. Due to these limitations, researchers are now using Data Mining and Deep Learning Algorithms to predict heart related disorders. The Cardio Vascular Disease (CVD) is as complicated as it sounds if left untreated.  So, the early prediction of this could save millions of people from silent attacks, myocardial infarction etc. Many machine learning algorithms like Naïve Bayes, K-Nearest Neighbor Algorithm (KNN), Decision Trees (DT), Genetic algorithm (GA) are used for cardiovascular disease prediction using text datasets and their efficiencies tend to differ. Generally, convolutional neural network (CNN) algorithm is mostly used for prediction using images. But our concept is to switch over this and predict heart disease using the CNN algorithm for Cleveland dataset which consists of numerical. In this dataset we consider 14 attributes and used K Nearest Neighbor and CNN algorithm. In terms of accuracy, CNN beats KNN, proving that deep learning algorithms may support decision-making and prediction-making based on vast volumes of data supplied by the healthcare sector.

groups
S.Irin Sherly mail -
J. Sandhiya mail -
S. Priyanga mail -
M. A. Sharon Victoriya mail -
K. Sorna Ajantha mail
link https://doi.org/10.54216/JCHCI.050102

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new
Journal of Cognitive Human-Computer Interaction | 2023

Energy-Efficient Smart Farming with IoT-Fog- Based Dual Power Management System

Agricultural use of alternative energy has become more prevalent. Utilizing the alternative source when it is widely accessible is economical and prudent. Drip irrigation may be even more effective when alleviated with renewable energy via a power grid link. Fog computing is a cutting-edge method for extending cloud services to the network's edge. With compute and storage capabilities, it offers a widely dispersed, virtualized platform. Fog could analyze vast volumes of data before sending it to the cloud. This work proposes an innovative agricultural system with integrated hydropower management and its functional blocks. For processing and decision- making in this system, the fog router received field data from the aggregator. To use the data for analysis in the future, it will be stored in the cloud. We have constructed an intelligent irrigation and power management system based on the IoT in our suggested design with IIPMS. This prototype model detects heat and light using temperature and light sensors. If this dual parameter is discovered to be sufficient, the intelligent switch automates the switchover to solar power. The gadget and motor operate on a regular power supply from the power plant. Through GSM technology, the cloud informs the farmer about the type of electricity being used and information linked to power, such as voltage. To inform the farmer of the availability of solar power, a built-in prediction module was also proposed with the Time Series Analysis based forecasting to carry out forecasting duties (TSA). Based on the simulation study, we claimed that the proposed approach performs better in various real-world agricultural scenarios. We also compared our energy consumption model with the existing models and claimed the efficacies of the proposed approach.

groups
J. Chandraleka mail -
P. Selvaraj mail
link https://doi.org/10.54216/JCHCI.050103

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new