International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence最新文献

{"title":"Multi-agent Intelligent System Design for Telemedicine Applications to Develop Health Care Systems of Developing Countries","authors":"M. Altaei, Subhi H. Hamdoon","doi":"10.54938/ijemdcsai.2023.02.1.234","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2023.02.1.234","url":null,"abstract":"Various factors controlling health care in any country, but still there is a weakness in the infrastructure of health care systems in some developing countries, including many Arab countries, due to the shortage of medical specialists personnel, global economic crisis, and wars and disasters that struck many countries. A crying need for a tele-medical care becomes a necessity, and in order to overcoming this weakness we have proposed a multi-agent intelligent Telemedicine system in this research. The proposed system can help solve the shortage of specialists urgently and at lower costs. Furthermore, it can save the efforts of the patients' expensive travel for treatment abroad. Moreover, it can avoid infections from social closeness in times of disasters and pandemics. \u0000Nowadays Telemedicine systems have gradually become a popular medical model which have always attracted much attention due to the continuous development of the multi-agents' structure and capabilities of the artificial intelligence systems. So we will focus in the prototype design of our system on the algorithms, techniques and devices that support the multi-agents' structure and AI technologies. The Multi-agent approach happens to be a suitable structure for the development of Telemedicine systems. Worth mentioning it can solve problems that are difficult or impossible for an individual agent or a monolithic system, and the AI capabilities will minimize human errors and improve health care outcomes. \u0000We will start by a state-of-the-art literature survey as conducted on the E-health system architecture, AI capabilities, and multi-agent platform, and then we will illustrate prototype design of the suggested Multi-agent intelligent system for Telemedicine which will contribute in the development of the health care systems in the developing countries. \u0000Keywords: Healthcare system; Medical System; Artificial Intelligence; Multi-Agent, Telemedicine; Telehealth.","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128923541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Big Data Management and Analytics as a Cloud Service","authors":"Research Paper, S. Alghamdi, Sarah Alghamdi, Yasmeen Almansour, Alfia Badiwalla","doi":"10.54938/ijemdcsai.2023.02.1.134","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2023.02.1.134","url":null,"abstract":"Traditional database management systems are inadequate for handling uncertain data due to design limitations. Various methods address database uncertainty, often oversimplifying and restricting representable uncertainties. Rapid data growth from technologies like IoT, multimedia, and social media has led to massive diverse data, known as big data, categorized into structured, semi-structured, and unstructured types. Coping with big data's challenges is encapsulated in the \"Vs Model\" with volume, velocity, and variety dimensions. It aims to gather variable information for causal understanding and informed decisions. Big data offers competitive advantages: smart decisions (69%), operational control (54%), customer insights (52%), and cost cuts (47%). This research studies big data management and cloud computing, where data and apps are accessed via the internet, saving resources globally. Cloud's simplicity and power facilitate tasks and storage. Risks include bankruptcy or breaches, yet cloud remains valuable for preserving big data. Vital factors in big data's value creation involve converting IT costs to assets and connecting big data outcomes to performance. This abstract summarizes exploration of traditional limitations, big data's essence, cloud's potential, and value creation nuances.","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128761661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Verification of Covid-19 Social Assistance Recipients using Naïve Bayes Classifier","authors":"R. Kamali, Y. Sari, I. Aldmour, Rahmat Budiarto","doi":"10.54938/ijemdcsai.2022.01.2.100","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2022.01.2.100","url":null,"abstract":"The Indonesian government launches the Covid-19 social assistance program to reduce the impacts of the economic downturn during the pandemic. The recipients of social assistance in Sukabumi Selatan District of Jakarta Province is collected form Neighborhood Association (RT/RW). However, this mechanism has limitations in terms of feasibility assessment through direct verification which is not optimal due to social restriction activities. At the same time, data is also collected through the regular recipients of social aid program, so there is a data discrepancy that causing a bias in determining the recipients’ feasibility. Therefore, a mechanism is required to assess the eligibility of the recipients. This study aims to assist Social Service Agency of Sukabumi Selatan district, in assessing the eligibility of the recipients using Naïve Bayes classifier and K-Nearest Neighbors (K-NN) classifier as comparison. Experiments using Cross-Industry Standard Process for Data Mining (CRISP-DM) model were carried out on a collected dataset, and the results show that Naïve Bayes classifier shows the best result with 93% accuracy, 86% precision and 100% recall, while K-NN has 90% accuracy, 82% precision and 98% recall. This research may assist the Social Service Agency of the district to determining more accurately the target recipients.","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131899645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Telehealth Medical Insurance System (TMIS) for Pandemics Requirements and Traveling Difficulties","authors":"M. Altaei, A. Al-Ghaithi, Aziza Al-Hinai","doi":"10.54938/ijemdcsai.2022.01.2.143","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2022.01.2.143","url":null,"abstract":"Medical insurance system has been and is still the most necessary service for all people. It is one of the most important type of insurances that protects people's health from long-term and short-term risks, and pandemics. Due to the current situation of Covid-19 and the increasing costs of medication, such system is very important and needed nowadays. On the other hand, Telehealth technology and Telemedicine applications have proven their positive role in preventing the spread of epidemics and diseases due to physical spacing, decreasing the vists to the health institutions, and reducing travels abroad; besides, it help in obtaining a high quality diagnosis and treatments from different places worldwide. The goal of this project is to design a prototype of a new system that combines medical insurance system with Telehealth technology to get a Telehealth Medical Insurance System (TMIS) that facilitates communication between the patients and medical providers remotely through insurance companies without visiting health inistitutions unless for necessary cases. This new system will first guarantee protection rules of dealing with pandemics such as: social distancing, telediagnosis, and preserve patients from infection by some viruses or other infectious diseases. Second, it guarantees medical treatments in a qualified and high-quality medical provider with lower costs and without travelling difficulties and costs.\u0000The implementation of this system will focus on finding the most suitable and secure way for patients via a protected website to do online communication with medical providers. It will also improve transactions for obtaining medical insurance and reduce pressure in hospitals and medical centers, as well as providing healthcare solutions that meet long-term needs. Thus, people living worldwide can easly subscribe to this system either individually or via their institutions, and they will have many benefits and options, it will cover their increasing medical expenses, decrease the cost of diagnosis and treatments and travelling, as well as increasing the quality of health care and protecting them from the pandemic issues.","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129393037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Relational Data Model for Uncertain Data","authors":"Sadam Hussain Channar, M. S. Vighio","doi":"10.54938/ijemdcsai.2022.01.2.141","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2022.01.2.141","url":null,"abstract":"There are many traditional data models developed for the purpose of storing, managing, and manipulating certain data. However, data comes from different sources which may also include data which is imprecise or inexact. For an application which generates uncertain data, its storage, management, and manipulation becomes equally important as for the certain data. This study presents a relational data model for storing, managing, and manipulating uncertain data with certain data.  The data model is analyzed using SQL queries to ensure the completeness of the model. Furthermore, a comparative analysis of proposed data model with existing data models is also presented.","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127618380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Challenges of Compliance it Governance Frameworks in the UAE","authors":"Moayad Majed Alratrout, Badreya Ahmad Thani, Nasser Taleb, Raed Said","doi":"10.54938/ijemdcsai.2022.01.2.140","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2022.01.2.140","url":null,"abstract":"IT Governance frameworks such as COBIT, ITIL, and ISO have become the most important guidelines for IT Governance (ITG). These frameworks are used by organizations as a tool to evaluate their own ITG systems and to help the IT managers to bridge any gaps between the technical issues, business risks, and control requirements. The main objective of the research is to study the various IT governance frameworks used by the organizations and the challenges they face in compliance with the IT Governance framework, and the steps taken to overcome these challenges in the UAE. This objective was achieved by using a quantitative approach through a questionnaire felt by a sample of IT executives or IT professionals working at different private and public organizations in the UAE. The results of the study discovered that most of the organizations use ITIL and ISO as their preferred choice of the ITG framework, and the major challenge faced by the organizations in compliance with the ITG frameworks is the lack of people’s acceptance which overcomes by training people using tools and systems with the frameworks used in the organizations. This study provides useful information for future researchers to understand the challenges in implementing the ITG frameworks and how to overcome them in the context of the private and public sectors in the UAE.","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132828186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Business Environment in the Context of Cloud Computing: A Review","authors":"Low Xin Yuan, Chen Wei Shuong, Kiew Yoong, Ashley Cheah, Yiu Qian, Imdad Ali Shah","doi":"10.54938/ijemdcsai.2022.01.2.135","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2022.01.2.135","url":null,"abstract":"Many businesses now rely on cloud environments for both personal and corporate use due to the industry's expanding trend of constantly improving technology. The on-demand, pay-as-you-go delivery of IT resources through the internet is known as cloud computing. This indicates that the user just needs to make payments based on how much they use. In layman's terms, it refers to the idea of using the Internet to rent the processing power and storage capacity of a computer from another location. Users can get technology services like computing power, storage, and databases from a cloud provider on a pay-as-you-need basis rather than purchasing and maintaining their own physical data centers and servers. Our object of this article is to peer-review and examines numerous cloud tools, applications, and more to decide which is the best choice for both individual users and businesses. We have investigated the advantages that cloud computing offers.","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125779412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical Simulation of Hydraulic Fracturing in Unconventional Reservoirs","authors":"E. Mohammed, Yasir M. F. Mukhta, Irtiza Amjad","doi":"10.54938/ijemdcsai.2022.01.2.131","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2022.01.2.131","url":null,"abstract":"Hydraulic fracturing is a well-stimulation technique that uses a large amount of water mixed with proppants at high pressure to enhance and boost oil and gas production. Proppants, in conjunction with water, facilitate the cracking process, acting as a catalyst for the oil and gas to pass through the formation and into the producing well. The primary goal of this research is to look into the parameters that influence hydraulic fracturing quality. Moreover, such parameters that improve the productivity of oil in unconventional reservoirs are evaluated. The field properties of the Eagle Ford Shale were used to create a geological model on the Navigator software for this purpose. This software is used to simulate three different horizontal and vertical wells to observe the production of oil and gas. Then, hydraulic fracturing is performed on the same wells with different scenarios using three parameters, namely the length of fracture, the width of fracture, and the height of fracture. These parameters are selected because the usage of proppants can be dependent on them. The findings are quite convincing and demonstrate the importance of hydraulic fracturing in an unconventional reservoir. Besides, it is observed that the greater the width, length, or height of the fracture, the greater the productivity of oil and gas in an unconventional reservoir due to the increment of the seepage area of the hydrocarbons. Thus, hydraulic fracturing can make any potential unconventional reservoir economically viable.","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127028225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sentiment analysis on Education transformation during Covid-19 using Arabic tweets in KSA.","authors":"N. Aslam, Irfan Ullah Khan, Taif AlKhales, Reem AlMakki, Shahad AlNajim, Shaden Almarshad, Rana S. M. Saad","doi":"10.54938/ijemdcsai.2022.01.2.137","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2022.01.2.137","url":null,"abstract":"The emergence of COVID-19 pandemic has changed the whole world. To prevent the spread of the virus, different precautionary measure and policies have been defined, one of them is distance learning. It has led to the educational transformation from physical education to online learning. Similarly, in KSA online education is adopted since March 2020. Inorder to extract the individual perception about the online education in KSA, twitter data was used. Arabic tweets were collected using twitter API. Furthermore, several machine learning models such as Support Vector Machine (SVM), Naïve Bayes (NB), Random Forest (RF), Logistic regression, K-nearest neighbors was used develop an automated sentiment analysis of online education related tweets in KSA. For feature extraction and selection N-gram and Term Frequency–Inverse Document Frequency (TF-IDF) was used. Logistic Regression achieved the highest accuracy of 69.33% for multiclass and Random Forest achieved accuracy of 80.35%. According to the dataset, most of the individuals have negative opinion about the online learning as the number of negative tweets are higher as compared to positive and neutral class","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114264740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Application to Computer Science via New Fixed Point Technique","authors":"Khaleel Ahmad, Umar Ishtiaq, Jawad Afzal","doi":"10.54938/ijemdcsai.2022.01.2.138","DOIUrl":"https://doi.org/10.54938/ijemdcsai.2022.01.2.138","url":null,"abstract":"We construct some standard orthogonal L-fuzzy fixed point findings for almost orthogonal Θ-contraction in the context of orthogonal complete ms using the orthogonal L-fuzzy mapping (OLF-mapping). We prove some non-trivial examples to supporting our main results. Also, we establish a theoretical computer science application to domain of words.","PeriodicalId":448083,"journal":{"name":"International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132360695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}