• Title/Summary/Keyword: UMM

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Models for Internet Traffic Sharing in Computer Network

  • Alrusaini, Othman A.;Shafie, Emad A.;Elgabbani, Badreldin O.S.
    • International Journal of Computer Science & Network Security
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    • v.21 no.8
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    • pp.28-34
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    • 2021
  • Internet Service Providers (ISPs) constantly endeavor to resolve network congestion, in order to provide fast and cheap services to the customers. This study suggests two models based on Markov chain, using three and four access attempts to complete the call. It involves a comparative study of four models to check the relationship between Internet Access sharing traffic, and the possibility of network jamming. The first model is a Markov chain, based on call-by-call attempt, whereas the second is based on two attempts. Models III&IV suggested by the authors are based on the assumption of three and four attempts. The assessment reveals that sometimes by increasing the number of attempts for the same operator, the chances for the customers to complete the call, is also increased due to blocking probabilities. Three and four attempts express the actual relationship between traffic sharing and blocking probability based on Markov using MATLAB tools with initial probability values. The study reflects shouting results compared to I&II models using one and two attempts. The success ratio of the first model is 84.5%, and that of the second is 90.6% to complete the call, whereas models using three and four attempts have 94.95% and 95.12% respectively to complete the call.

Measuring Students' Interaction in Distance Learning Through the Electronic Platform and its Impact on their Motivation to Learn During Covid-19 Crisis

  • Almaleki, Deyab A.;Alhajaji, Rahma A.;Alharbi, Malak A.
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.98-112
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    • 2021
  • This study aimed at measuring students' interaction in distance education through the electronic platform among intermediate school students, by identifying the level of students' interaction in distance education and differences between them, as well as its impact on their motivation to learn. To achieve the aim of the study, two scales were designed for this purpose and were applied to a sample consisting of (268) individuals. The results showed that the level of students' interaction through the e-learning platform was at a high level. The results also showed that there was no statistically significant difference between the mean scores of males and females in the scale of students' interaction through the e-learning platform. There was no statistically significant difference between them in their motivation for distance learning via the online platform. There were also no statistically significant differences related to the grade variable in the level of interaction through the electronic platform and in the motivation to learn, while there was a positive statistically significant effect of interaction through the electronic platform on students' motivation to learn.

A Review of Concepts, Advantages and Pitfalls of Healthcare Applications in Blockchain Technology

  • Al-asmari, Aisha M.;Aloufi, Rahaf I.;Alotaibi, Youseef
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.199-210
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    • 2021
  • Recently, research in blockchain technology has grown in popularity. Most of these researches have pointed out designing and improving conceptual structures to create digital systems that are more secure, accessible, and effective. Although blockchain offers a wide range of advantages, it also has some pitfalls. This research aims to present an understanding of the properties of blockchain, the advantages, pitfalls, and applications based on blockchain technology. To achieve the goal of understanding blockchain technology concepts, a systematic literature review approach was introduced. 93 papers were chosen and reviewed in total. Therefore, this research provides a summary of recent studies that have been published in the field of blockchain. Moreover, we have created concept maps and tables that aid in a deep understanding of blockchain technology concepts and exhibit some of the blockchain applications. In blockchain-based applications, we focused on two areas, namely the Internet of Things (IoT) and healthcare.

The Impact of Using Some Participatory E-learning Strategies in Developing Skills of Designing and Producing Electronic Courses for A sample of Umm Al-Qura University Students and their Innovative Thinking

  • Emad Mohammed Samra
    • International Journal of Computer Science & Network Security
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    • v.23 no.3
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    • pp.17-30
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    • 2023
  • The current research aims to reveal the impact of using some participatory e-learning strategies (participatory product - classroom web simulation) in developing cognitive achievement, electronic course design skills, and - skills list - Torrance test of innovative thinking). The tools of innovative thinking among a sample of Information Science students. To achieve the objectives of current research, the researcher designed an educational website to train students to produce electronic courses via the web, according to the two participatory e-learning strategies. The researcher used a set of tools represented in (achievement test research and experimental treatment were applied to a sample of the Faculty of Computer students at Umm Al-Qura University. The results found that both participatory product strategy and web simulation have an imact on developing learning aspects discussed in the research. As for which of the two strategies had a greater impact than the other, it turned out that the web simulation strategy had a greater impact than the participatory product strategy in developing these aspects.

Difficulties in ERP integration in Umm Al Qura University: A Case Study

  • Abdullah A H Alzahrani
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.35-43
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    • 2024
  • The development and integration of Enterprise Resource Planning (ERP) systems have consistently attracted attention from software engineering researchers. Many studies have examined the factors that influence successful ERP integration, while others have focused on introducing integration models that address issues and challenges that affect the successful integration of ERP. However, it is crucial to recognize that the key player in successful integration is the individual involved. This paper aims to investigate how individuals based on departmental attachments and experiences have viewed the factors that affected the success of ERP integration. A case study was conducted at one large organization namely Umm Al Qura University, Saudi Arabia. Five departments were involved namely: Financial management, purchasing management, warehouse management, human resources management, and the Deanship of Information Technology. The results of 78 participants were collected and analyzed. Furthermore, it was different how individuals from different departments involved in the ERP integration viewed the factors that affected the success of integration. In addition, it was noticed that individuals with different experiences have various views on the factors. Moreover, it was evident that departmental attachments and individual experience might play a role in the successful integration of ERP.

CONVECTION IN A HORIZONTAL POROUS LAYER UNDERLYING A FLUID LAYER IN THE PRESENCE OF NON LINEAR MAGNETIC FIELD ON BOTH LAYERS

  • Bukhari, Abdul-Fattah K.;Abdullah, Abdullah A.
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.11 no.1
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    • pp.1-11
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    • 2007
  • A linear stability analysis applied to a system consist of a horizontal fluid layer overlying a layer of a porous medium affected by a vertical magnetic field on both layers. Flow in porous medium is assumed to be governed by Darcy's law. The Beavers-Joseph condition is applied at the interface between the two layers. Numerical solutions are obtained for stationary convection case using the method of expansion of Chebyshev polynomials. It is found that the spectral method has a strong ability to solve the multilayered problem and that the magnetic field has a strong effect in his model.

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A Study for Efficient deployment of IMT-2000 UMMS (IMT-2000 UMMS의 효율적 배치방안 연구)

  • 조영상;박인수;박용진;박철희
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04a
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    • pp.559-561
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    • 2001
  • IMT-2000에서의 통합 메시징 시스템(Unified messaging System)은 음성메시지, 팩스 메시지, 이메일 메시지, 비디오 메시지 등과 같이 다양한 미디어 컨텐츠를 포함하는 메시지를 통합관리하며, 메시지간 매체 변환 기능을 수행하여 언제, 어디서나, 단말에 상관없이 메시지 서비스를 제공한다. 차세대 UMS라고 할 수 있는 IMT-2000 UMMS(Unified Multimedia Messanging System)는 전화망, 데이터망 및 이동통신망 등의 성격이 서로 다른 네트워크 및 각 네트워크 상에서 기존 메시징 서비스를 통합한 환경에서 각 단말에서 메시지 배달, 메시지 저장 및 메시지 통보 등의 기능을 제공하게 된다. IMT-2000 UMMS를 구성하는 기능 요소들은 토폴로지 설계에 따라 동일 네트워크 또는 분산 네트워크 상에 존재할 수 있다. 본고에서는 시스템 설계 시 트래픽 특성 및 이용자 성향을 고려한 효율적 시스템 배치 방안에 관해 기술한다.

Automatic Content Generation for Mobile Commerce based on Product Information Retrieval Function (상품 정보 검색 기능을 기반으로 하는 모바일 전자상거래를 위한 자동화 컨텐츠 생성)

  • Jang, Hyun-Su;Lee, Eun-Seok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.473-476
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    • 2004
  • 본 논문에서는 M-Commerce의 빠른 성장에도 불구하고, M-Commerce만을 위해 제작되어진 Contents 제공의 한계로 인하여 M-Commerce 활성화에 많은 어려움이 있다. 이와 같은 문제점을 줄이기 위한 해결책으로 기존에 연구되고 있는 M-Commerce 시스템에 URL Pattern 분석을 통해서 인터넷 상의 상점 정보 및 상품 디스플레이 URL 정보를 자동으로 수집하기 위한 UMM(URL Management Module)을 제안한다. 이 UMM의 적용으로 인하여 상품 검색을 해온 결과 기존 연구되고 있는 M-Commerce 시스템의 상품 검색보다 더 나아졌다. 이와 같은 상품 검색효율성의 개선은 실험을 통하여 알 수 있었다.

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Comparison of Machine Learning Techniques for Cyberbullying Detection on YouTube Arabic Comments

  • Alsubait, Tahani;Alfageh, Danyah
    • International Journal of Computer Science & Network Security
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    • v.21 no.1
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    • pp.1-5
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    • 2021
  • Cyberbullying is a problem that is faced in many cultures. Due to their popularity and interactive nature, social media platforms have also been affected by cyberbullying. Social media users from Arab countries have also reported being a target of cyberbullying. Machine learning techniques have been a prominent approach used by scientists to detect and battle this phenomenon. In this paper, we compare different machine learning algorithms for their performance in cyberbullying detection based on a labeled dataset of Arabic YouTube comments. Three machine learning models are considered, namely: Multinomial Naïve Bayes (MNB), Complement Naïve Bayes (CNB), and Linear Regression (LR). In addition, we experiment with two feature extraction methods, namely: Count Vectorizer and Tfidf Vectorizer. Our results show that, using count vectroizer feature extraction, the Logistic Regression model can outperform both Multinomial and Complement Naïve Bayes models. However, when using Tfidf vectorizer feature extraction, Complement Naive Bayes model can outperform the other two models.

Selecting the Right ERP System for SMEs: An Intelligent Ranking Engine of Cloud SaaS Service Providers based on Fuzziness Quality Attributes

  • Fallatah, Mahmoud Ibrahim;Ikram, Mohammed
    • International Journal of Computer Science & Network Security
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    • v.21 no.6
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    • pp.35-46
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    • 2021
  • Small and Medium Enterprises (SMEs) are increasingly using ERP systems to connect and manage all their functions, whether internally between the different departments, or externally with customers in electronic commerce. However, the selection of the right ERP system is usually an issue, due to the complexities of identifying the criteria, weighting them, and selecting the best system and provider. Because cost is usually important for SMEs, ERP systems based on Cloud Software as a Service (SaaS) has been adopted by many SMEs. However, SMEs face an issue of selecting the right system. Therefore, this paper proposes a fuzziness ranking engine system in order to match the SMEs requirements with the most suitable service provider. The extensive experimental result shows that our approach has better result compared with traditional approaches.