Статьи журнала - International Journal of Modern Education and Computer Science

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Professional Courses for Computer Engineering Education

Professional Courses for Computer Engineering Education

Yinan Kong, Yimin Xie

Статья научная

A sequence of professional courses of study in Computer Engineering at the authors’ university was initiated. These included Digital Fundamentals, Programmable Logic Design, Computer Hardware and Digital Systems Design. This paper presents a study on how the problem based learning has been used for these courses. It also describes how CDIO (Conceive, Design, Implement, Operate) concepts have been applied with an overview of all the hardware resources necessary to support the degree.

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Project-Based Learning with Gallery Walk: The Association with the Learning Motivation and Achievement

Project-Based Learning with Gallery Walk: The Association with the Learning Motivation and Achievement

Zamree Che-aron, Wannisa Matcha

Статья научная

With the rapid and constant changes in computer and information technology, the content and learning methods in Computer Science related courses need to be continuously adapted and consistently aligned with the latest developments in the field. This paper proposes a learning approach called the Gallery-walk integrated Project-Based Learning (G-PBL) which can develop students’ lifelong learning skills that are extremely crucial for Computer Science students. The G-PBL was designed by incorporating the advantages of Project-Based Learning (PBL) and gallery walk learning strategy. In contrast to traditional PBL where students may present their project work to instructors only, students have to present their project work to their classmates as part of the G-PBL approach. All students are required to evaluate their peers’ project work and then give feedback and suggestions. For the research experiments, the G-PBL was implemented as an instructional approach in two Computer Science related courses. This study focuses on exploring the differences in knowledge gain, learning motivation, and perceived usefulness when learning by using the teacher-centered and G-PBL approach. Moreover, the impact of gender differences on learning outcomes is also investigated. The results reveal that using the G-PBL approach helps students to gain more knowledge significantly, for both male and female students. In terms of motivation, female students are more favorable toward the G-PBL approach. On the contrary, male students prefer learning via a teacher-centered approach. Regarding the perceived usefulness, female students strongly view the G-PBL as a highly effective learning approach, whereas male students are more prone to concur that the teacher-centered approach is a more effective learning method.

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Project-based Learning in Vocational Education: A Bibliometric Approach

Project-based Learning in Vocational Education: A Bibliometric Approach

Selamat Triono Ahmad, Ronal Watrianthos, Agariadne Dwinggo Samala, Mukhlidi Muskhir, Gimba Dogara

Статья научная

The project-based learning (PjBL) paradigm is often considered the most advanced in vocational education. The increasing use of the PjBL paradigm in vocational education is an intriguing topic of study. In line with the rapid growth of information technology, it enables PjBL in vocational education to help students develop problem-solving, critical thinking, and teamwork skills. In this study, a bibliometric method is used to provide insight into the structure of the subject, social networks, research trends, and issues reflecting project-based learning in vocational education. On November 27, 2022, the Scopus database was searched using project-based learning terms in the title. The second search field appears in the title, abstract, and keywords vocational education or TVET, restricted to journal articles or proceedings and in English to keep them current. This analysis revealed 60 articles in Scopus-indexed journals and proceedings between 2010 and 2022. Dwi Agus Sudjimat from Malang State University, Indonesia, was the most prolific author, having authored four articles on the subject. Indonesia is the nation investing the most in developing PjBL models. According to the thematic data, project-based learning is located in the first quadrant, has high centrality and density, and has well-developed questions related to the study topic. The results of this study show that the project-based learning model that is evolving in vocational education is likely to continue to be an important teaching approach in this field.

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Prolong the Lifetime of WSN by Determining a Correlation Nodes in the Same Zone and Searching for the "Best" not the "Closest" C.H.

Prolong the Lifetime of WSN by Determining a Correlation Nodes in the Same Zone and Searching for the "Best" not the "Closest" C.H.

Mishall H. Awaad, Wid A. Jebbar

Статья научная

There were a lot of methods that introduced in the information search field; one of those methods is the wireless sensor networks; and one of the most famous protocols in WSNs is LEACH protocol. And because of that protocol suffering from some defects like sometimes the node attaching to C.H. near from it, but that C.H. far from the B.S. even the node itself near to the B.S. than its C.H.; to solve that problem a new method will introduce in this research which basing on: Allocation of 5 meters (0-5) and prevent the election of any C.H. on it. Division of the Network area into four parts (near, mid, far, and very far) according to the node`s distance from B.S. Restriction of the attachment between the nodes and the C.Hs. in the same part. If a particular part is empty from the C.H. so the nodes will attach to C.H. from the upper parts, But with a condition (the distance between the C.H. and the node <= the distance between node and B.S. /2) Through these improvements, good results were gotten in the simulation, which showed that the improved LEACH was more efficient than the original LEACH.

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Proposal for a mutual conversion relational database-ontology approach

Proposal for a mutual conversion relational database-ontology approach

Leila Zemmouchi-Ghomari, Abdelaali Djouambi, Cherifa Chabane

Статья научная

Whereas ontologies are formal knowledge representations, conveying a shared understanding of a given domain, databases are a mature technology that describes specifications for the storage, retrieval, organization, and processing of data in information systems to ensure data integrity. Ontologies offer the functionality of conceptual modeling while complying with the web constraints regarding publication, querying and annotation, as well as the capacity of formality and reasoning to enable data consistency and checking. Ontologies converted to databases could exploit the maturity of database technologies, and databases converted to ontologies could utilize ontology technologies to be more used in the context of the semantic web. This work aims to propose a generic approach that enables converting a relational database into an ontology and vice versa. A tool based on this approach has been implemented as a proof of a concept.

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Proposal of a Digital Ecosystem Based on Big Data and Artificial Intelligence to Support Educational and Vocational Guidance

Proposal of a Digital Ecosystem Based on Big Data and Artificial Intelligence to Support Educational and Vocational Guidance

Essaid El Haji, Abdellah Azmani

Статья научная

The work in this article focuses on the modelling of an intelligent digital ecosystem for educational and career guidance for students and young people seeking their first job or retraining. To do so, the multi-expert system paradigm was used to aggregate the different expertises required for a good guidance, the multi-agent system principle was used to have a modular and easily scalable ecosystem. Indeed, the agents of the system communicate with each other using the FIPA-ACL language, in a collaborative vision, throughout the orientation assistance process to perform tasks such as proposing business sectors, occupations, training, and training paths. The ontologies of the Semantic Web have been used to have a complete semantic description of the shared information and to promote communication between the different software agents of the ecosystem. Big Data principles have also been deployed to manage and exploit structured and unstructured data from different data sources related to the guidance ecosystem. The ecosystem modeled in this way has several innovative and powerful technological and scientific aspects. Thus, in terms of design and modelling, the proposed ecosystem considers all the actors and factors involved in the guidance process, including labor market trends. In technological/scientific terms, it is based on methods that allow it to be modular and scalable.

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Proposal to Teach Software Development Using Gaming Technique

Proposal to Teach Software Development Using Gaming Technique

Amal A. Albilali, Rizwan J. Qureshi

Статья научная

The world today has witnessed the evolution imposes on researchers in the field of education to review the methods and strategies of teaching, since the teaching and learning system is not a collection of information and knowledge that stuffed in mind. It is a development of cognitive performance and modes of thinking in addition to the use of innovative ways and methods to help the student to adapt to its environment and to solve the problems that he/ she faces to make learning meaningful. One of the recent trends is the use of educational teaching games. Games increase the motivation of the learner and ensure the interaction with educational material which, in turn, offers fun and enjoyable manner in order to achieve the desired objectives. This paper attempts to address the need to utilize gaming to improve learning in active ways and to raise level of the learning process in an interactive environment for the students and the teachers. To evaluate the proposed solution, this paper used survey research methodology and the results are highly encouraging by the professionals working in academia.

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Proposed Automated Framework to Select Suitable Design Pattern

Proposed Automated Framework to Select Suitable Design Pattern

M. Rizwan Jameel Qureshi, Waleed Al-Geshari

Статья научная

Many design patterns are available in the existing literature. Due to the availability of the enormous quantity of design patterns, it is extremely hard for a developer to find the suitable design pattern to address the problem. An experienced developer can even face problem to select the appropriate pattern for a specific problem and it is no man's land for junior developers. This paper proposes a novel framework that will generate problem-related questions to a developer to find suitable design pattern using a repository. The answers to these questions can guide developers to select the suitable design patterns. This paper uses the questionnaire as a data collection instrument to conclude the results. The results are found supportive indicating that the proposed framework will solve the problem in hand.

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Proposed framework to manage software requirements and reuse

Proposed framework to manage software requirements and reuse

Abdulrahman Alshehri, Mohammed Basheri, Rizwan Qureshi

Статья научная

Requirement elicitation and analysis form the focal point in the initial stages of the software development process. Unfortunately, in many software development projects, developers and end-users speak different languages. On one hand, end-users prefer to use natural languages while software developers who are technically perceptive, tend to use conceptual models. This difference in technical knowledge creates a communication gap, a potential cause of poor quality software products or project conflicts. The aim of this paper is to investigate the feasibility of a novel technique that seeks to foster effective elicitation of software requirements and support the implementation of structures that match particular requirements. By combining requirement elicitation and re-usable parts, the proposed solution envisages improvements in the overall software design process leading to enhanced requirement specifications. The novel idea is to incorporate an intermediate step for mapping Unified Modeling Language (UML) to Web Ontology Language (OWL) to enable the addition of ontology languages. The proposed model is validated through a survey. The validation results show that the proposed solution allows software developers to elicit software requirements and implement structures that match certain requirements.

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Provisioning Remote Lab Support for IT Programs in Distance Education

Provisioning Remote Lab Support for IT Programs in Distance Education

Lakshmanan Senthilkumar

Статья научная

In the recent past Internet has become the de-facto communication network. It is being prominently used by Telecommunication, Television and other such networks as a carrier network. The current Internet technology has matured enough to support both Non-Real Time and Real-Time Streaming applications. Recently, even the speed of the access network through which an end user accesses the Internet has also increased substantially. All these have given way to newer Applications for being ported on to the Internet. A similar attempt has been made here to extend the Networking Lab infrastructure to students who have enrolled for their higher education through Distance mode. These students who are spread across the country are able to access the Network Lab to perform their Lab Exercises Live on Network devices as part of their Practical Course.

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Proximity Measurement Technique for Gene Expression Data

Proximity Measurement Technique for Gene Expression Data

Karuna Ghai, Sanjay K. Malik

Статья научная

Data Mining is an analytical process intended to explore the data in search of consistent patterns. Due to its wide spread applications in biomedical industry and publicly available genomic data, data mining has become upcoming topic in the analysis of gene expression data. Clustering is the first step in understanding the complicated biological systems. The objective of clustering is to organize the samples into intrinsic clusters such that samples with high similarity belong to same cluster. The significance of clustering gene profiles is two-fold. Firstly, it assists in diagnosis of the disease condition and secondly it discloses the effect of certain treatment on genes. In this paper, we propose a new method to cluster gene expression data that is solely based on the concept of hierarchical clustering with a different method to compute the similarity between datasets and merge the pairs. The experimental results on two microarray data show the correctness and competence of proposed technique.

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Psychometric Analysis Using Computational Intelligence for Smart Choices

Psychometric Analysis Using Computational Intelligence for Smart Choices

Vidushi Singla, Rashi Thareja, Reema Thareja

Статья научная

Currently with world's industries providing endless job varieties, it is getting difficult for the students to choose optimum career lines. Ranging from 16-24 years old, these age groups find themselves unable to recognize their future endeavors. Hence, psychometric tests provide a solution, helping them to recognize their interests, aptitude and personality traits to produce better results. The research process was facilitated by questionnaires involving verbal, spatial, logical, critical and numerical aptitude. The responses were analyzed using statistical techniques, and machine learning algorithms. A number of graphs were plotted for better understanding of the technical details. The proposed psychometric and aptitude analysis model entails accuracy calculation assigning K-means, KNN, confusion matrices and SVM plots. The results of the psychometric analysis gave broad spectra of career choices by studying the pattern of the choices selected by the people. Respondents were supposed to give information about their interests and perceptions in their day to day activities, which in turn reflect information about their inner humanly traits, unknowingly providing an ideal career path.

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Quality Implication for Prognoses Success in Web Applications

Quality Implication for Prognoses Success in Web Applications

Ruqia Bibi, Munazza Jannisar, Mamoona Inayet

Статья научная

Massive increase in usage of World Wide Web makes it affective in every domain of life. Billions of people from different corners of world use internet for diverse purposes on daily bases. Quality acts as important key factor for web applications. Various methodologies have been proposed and many techniques have been deployed but, quality still lags behind. Our study in-focuses a detailed survey based on methodologies, metrics and architecture that are used in modeling of web application. We carried out analysis and comparisons between techniques and evaluate major quality characteristics. Study at conclusion illustrates that beside functional requirements, non-functional requirements are also essential and acts as backbone for quality in web based applications.

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Quantitative Analysis of Software Security through Fuzzy PROMETHEE-II Methodology: A Design Perspective

Quantitative Analysis of Software Security through Fuzzy PROMETHEE-II Methodology: A Design Perspective

Suhel Ahmad Khan, Mohd Nadeem, Alka Agrawal, Raees Ahmad Khan, Rajeev Kumar

Статья научная

The objective of this research study is to develop secure and multi-functional software or web application with controlled complexity. The demand of software security in different IT sectors is the main focus of the present endeavor. The different design factors and their prioritization are the need and demand of the system. We have selected the case of banking software or application. Security assessment is an integral part of risk management practices which provides an analytical mechanism to control and integrate security features for valuable opinion during the design phase. The designing of secure software and the impact of security factor is adopted and evaluated by the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE)-II method. The PROMETHEE-II methodology evaluates the impact of factors with respect to the design alternatives. The current priority is to work on the state-of-the-art security attributes or alternatives of software design. Decision makers are generally responsible for evaluating various responses within their technical or scientific jurisdiction and rank them accordingly. Fuzzy set theories are the most appropriate tools to provide results for modeling qualitative information because of their ability to handle the impreciseness that is common in rating alternatives. The proposed work highlights the effectiveness of fuzzy PROMETHEE-II method in this context. We have enlisted this methodology for comparing software security factors in design perspective by using linguistic variables. The quantitative analysis attempted in our study was highly accurate for evaluating the security attributes and ranking them as per their priority, particularly in the context of banking software design. The study concludes with the advantages of employing the Fuzzy PROMETHEE-II vis-à-vis the other methodologies in analyzing the software security in the context of design.

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Question Answering for Collaborative Learning with Answer Quality Predictor

Question Answering for Collaborative Learning with Answer Quality Predictor

Kohei Arai, Anik Nur Handayani

Статья научная

The increasing advances of Internet Technologies in all application domains have changed life styles and interactions. With the rapid development of E-Learning, collaborative learning is an important for teaching, learning methods and strategies. Studies over the years shown that students had actively and more interactively involved in a classroom discussion to gain their knowledge. Students can ask their questions to the classroom discussion when they want to collaborate with others, asking one another for information, evaluating one another’s ideas. Therein, the activity allowing one question has many answer or information that should be selected. Every answer has a weighting and its very subjective to select it. In this paper, we introduce question answering for collaborative learning with answer quality predictor. By using answer quality predictor the quality of the information could be determined. Through the process of collaborative learning, the knowledge base will be enriched for future question answering. Further, not only the student could get answers form others but also provided by the system.

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ROI Based Medical Image Watermarking with Zero Distortion and Enhanced Security

ROI Based Medical Image Watermarking with Zero Distortion and Enhanced Security

Neha Solanki, Sanjay K. Malik

Статья научная

Medical Image Watermarking has been considered as an appropriate method for enhancing the data security and content verification in medical science. For the purpose of achieving better security it is recommended to hide the data in the medical image itself that will improve the reliability of medical information system. In our paper, the work is divided in two main stages, first of all image is divided into two parts: Region of Interest that is defined as informational part of image and Region of Non Interest that is defined as non-informational part. In our work we have used Region of Non Interest to hide the data so that the informational part of the image kept safe. Watermark is encrypted by using RSA. A Discrete Wavelet Transform based approach is used for embedding the encrypted data in Region of Non Interest part of image for enhancing data security. The experimental result shows that watermark embedded by the proposed algorithm provides better security and can survive successfully under different attacks.

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Radial Basis Function and K-Nearest Neighbor Classifiers for Studying Heart Rate Signals during Meditation

Radial Basis Function and K-Nearest Neighbor Classifiers for Studying Heart Rate Signals during Meditation

Ateke Goshvarpour, Atefeh Goshvarpour

Статья научная

Meditation refers to a family of self-regulation practices that focus on training attention and awareness in order to bring mental processes under greater voluntary control. The aim of this study is to evaluate the efficiency of two different classifiers, k-Nearest Neighbor (k-NN) and Radial Basis Function (RBF), on the heart rate signals in a specific psychological state. For this purpose, two types of heart rate time series (before, and during meditation) of 25 healthy women are collected in the meditation clinic in Mashhad. The spectral parameters are used to gain insight into the autonomic nervous system (ANS) response induced by meditation. Therefore, very low frequency, low frequency, high frequency, the LF/HF ratio and frequency of the highest spectral peak of heart rate signals are extracted and used as inputs of the classifiers. To evaluate performance of the classifiers, the classification accuracies and mean square error (MSE) of the classifiers were examined. The classification results of this study denote that the RBF classifier trained on spectral features obtains higher accuracy than that of k-NN classifier. The total classification accuracy of the RBF classifier is 92.3% with 0.026 classification error. However, k-Nearest Neighbor classifier gives encouraging results (86.5%). Experimental results verify that radial basis function is an efficient classifier for classifying heart rate signals in a specific psychological state.

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Rainfall Forecasting to Recommend Crops Varieties Using Moving Average and Naive Bayes Methods

Rainfall Forecasting to Recommend Crops Varieties Using Moving Average and Naive Bayes Methods

Muhammad Resa Arif Yudianto, Tinuk Agustin, Ronaldus Morgan James, Firstyani Imannisa Rahma, Arham Rahim, Ema Utami

Статья научная

Indonesia has been known as an agrarian country because of its fertile soil and is very suitable for agricultural land, including rice. Yogyakarta is one of the most significant granary regions in Indonesia, especially in the Sleman region. However, one of the main challenges in rice planting in recent years is the erratic rainfall patterns caused by climate anomalies due to the El Nino and La Nina phenomena. As a result of this phenomenon, farmers have difficulty determining planting time and harvest time and planting other plants. Therefore, we make rainfall predictions to recommend planting varieties with Moving Average and Naive Bayes Methods in Sleman District. The results showed that moving averages well use in predicting rainfall. From these results, we can estimate that in 2020 rice production will below. That can saw from the calculation of the probability of naive Bayes on rice plants being low at 0.999 and 0.923. So that the recommended intercrops planted in 2020 are corn and peanuts. We also find that rainfall prediction with Moving Average using data from several previous years in the same month is more accurate than using data from four past months or periods.

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Random Pattern based sequential bit (RaP-SeB) Steganography with Cryptography for Video Embedding

Random Pattern based sequential bit (RaP-SeB) Steganography with Cryptography for Video Embedding

Ravpreet Kaur, Manish Mahajan

Статья научная

Due to an aggressive development and covert transmission of the computer users over the web, the steganography is acquiring its vogue day by day. It is the method to encode the covert data in a transmission medium in a fashion that the actuality of data must remain hidden. To protect the integrity of the data over the internet becomes necessary for the high sensitivity communications or the data transfers. The steganography carries a number of options for the embedding of the secret data into the cover data. In this manuscript, we have proposed the hybrid representation for the embedding of the data, which utilizes the random pattern embedding along with the cryptography for the higher steganography security levels. The proposed model has been designed to enhance the security level by utilizing the sequential data encoding and decoding in the video data. The video embedding creates the higher level of security for the embedded data. The experimental results have been obtained in the form of the embedding capacity, mean squared error (MSE) and Bits per Pixel (BPP). The proposed model has been found to be efficient enough for the video steganography.

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Rankings in Sport by Pairwise Comparison and League Table

Rankings in Sport by Pairwise Comparison and League Table

Sebastian Sitarz

Статья научная

This article describes a method of creating rankings in sport (medal tables). First, the countries are pairwise compared by area of the feasible points for which they are better. These feasible points correspond to gold, silver and bronze medals. After pairwise comparison we use the method of league table to rank the countries.

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