Статьи журнала - International Journal of Modern Education and Computer Science
Все статьи: 968
Enhancing Leakage Power in CPU Cache Using Inverted Architecture
Статья научная
Power consumption is an increasingly pressing problem in modern processor design. Since the on-chip caches usually consume a significant amount of power so power and energy consumption parameters have become one of the most important design constraint. It is one of the most attractive targets for power reduction. This paper presents an approach to enhance the dynamic power consumption of CPU cache using inverted cache architecture. Our assumption tries to reduce dynamic write power dissipation based on number of ones and zeros in the in-coming cache block data using bit to indicate is the block is mostly one or zero. This architecture reduces the dynamic write power by 17 %. We use Proteus Simulator to test that proposed circuit and performed the experiments on a modified version of the cacti6.0 simulator.
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Статья научная
There is a growing interest in integrating active learning and computer-based approaches in the teaching and learning of mathematics in elementary schools. In this study, we introduce Digital Game-Based Learning (DGBL) of Mathematics targeting students in the 5th and 6th grades following a design-to-implementation strategy. We first developed an edutainment Mathematics game and then tested it with 196 pupils from 9 public elementary schools in Morocco. The rationale of the study is to probe the effect of DGBL in lessening pupils’ mathematical anxiety and improving classroom experience. Students in our study were more engaged and less anxious towards learning Mathematics. Our designed pedagogical edutainment game made students more comfortable when dealing with numerical arithmetic assignments. The study suggests that edutainment games lead to positive individual attitudes towards mathematics and to a better math classroom experience, thus more effective teaching and learning of mathematics.
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Enhancing the Project-Based Learning Experience Through the Use of Live Web Data
Статья научная
Project-based learning (PBL) was proven to be a very useful model to give students hands on experiences and allow them to be active learners rather than passive listeners. In this paper we introduce a tool to help enhance the project development experiences for information technology (IT) students. The main purpose of this tool is to help reuse web information to enable IT projects for students. This tool is called InetRetriever and it can be easily used by students to retrieve, in real-time, any required real information from the web and to implement, execute, and test their projects with real life data. As PBL is becoming an integral part of many information technology (IT) courses, and in many cases real data is essential for many types of projects, it becomes important to make such data available and accessible easily. In various cases, students focus gets shifted from the real objectives of a project when they spend a lot of their time trying to find data or create methods to get them this data. Furthermore, many projects fail and cannot demonstrate their real capabilities when they are tested and demonstrated using small sets of sample data or some fabricated data sets because the students could not include real data available on the Internet. Another possibility here is that students could not even complete their projects because of the difficulties in retrieving the required data and the excess amount of time they spend on that tasks rather than on the real tasks in the project. Therefore, InetRetriever was developed to overcome this obstacle. It was tested in different information technology courses to enable effective and realistic project-based learning. Using this tool we observed increased student interest in the project development and higher levels of interactions and learning.
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Статья научная
Engineering education plays a pivotal role in the development of technologies, society, nation, economy and employment. It is well evident that in the information age, technology is developing very fast and correspondingly the demand for highly skilled and qualified professionals is also increasing. One of the most critical issues in engineering education is handling placement of young technocrats from an industrial perspective to prepare the required workforce in the 21st century. The trajectory of development of Electronics Engineering (EE) has intersected every walk of human life. The last decade has also witnessed an assorted increase in Electronics Engineering Education in India. Infact, most of the engineering institutes imparting EE education countrywide focus only on domain knowledge and a mere 25% of the engineering professionals are actually employable. Along with domain knowledge, there are non-technical skills and competencies which play a significant part in contributing to an individual's effective and successful participation in the workplace. This article throws light on career opportunities that will go a large way towards ensuring successful career planning and handling placement prospects. The paper addresses the career prospects in a broader domain of electronics engineering and other allied fields. The study will also focus on ongoing activities and initiatives at BPSMV State University in Haryana.
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Error Measurement & its Impact on Bilateral -Canny Edge Detector-A Hybrid Filter
Статья научная
Image Processing, a subset of Computer Vision, is an important branch in modern technology. Edge detection is a subset of segmentation to detect object of interest. Different image edge detection filters and their evaluating parameters are introducing rapidly. But the performance of an edge detector is an open problem. In this paper different performance measures of edge detection have been discussed in details and their application on a hybrid filter using Bilateral and Canny is proposed. Its parametric performance has been evaluated and other well established or classical existing edge detecting filters have been compared with it to measure its efficiency.
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Evaluating and comparing the performance of using multiple controllers in software defined networks
Статья научная
In Software Defined Networks (SDN) the control plane is removed to a separate device called the controller. The controller is the most important and main part in SDN architecture and large SDN networks may consist of multiple controllers or controller domains that distribute the network management between them. Because of the controller importance, it has been given a proper attention and many studies have been made to compare, test, and evaluate the performance of the controllers. This paper aims to evaluate and compare the performance of different SDN controllers which are Open Network Operating System (ONOS), OpenDaylight, POX and Ryu, using Two performance tests; the first test includes connecting two controllers of each of the four controllers to linear topology with different number of switches; and the other test includes connecting different number of controllers of each of the four controllers to linear topology with fixed number of switches. Then for these tests, the performance in terms of some Quality of Service (QoS) parameters such as average Round-Trip Time (RTT), throughput, and jitter are measured between the two end hosts in each network. After the evaluation of the performance has been completed, it had been seen that the controllers showed different behaviors, and that POX controller showed more stable and good performance results than other controllers.
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Evaluating the Effect of JPEG and JPEG2000 on Selected Face Recognition Algorithms
Статья научная
Continuous miniaturization of mobile devices has greatly increased its adoption and use by people in various facets of our lives. This has also increased the popularity of face recognition and image processing. Face recognition is now being employed for security purpose opening up the need for further research in recent time. Image compression becomes useful in cases when images need to be transmitted across networks in a less costly way by increasing data volume while reducing transmission time. This work discusses our findings on image compression and its effect on face recognition systems. We studied and implemented three well known face recognition algorithms and observed their recognition accuracy when gallery / probe images were compressed and/or uncompressed as one would naturally expect. For compression purposes, we adopted the JPEG and JPEG2000 coding standard. The face recognition algorithms studied are PCA, ICA and LDA. As a form of an extensive research, experiments conducted include both in compressed and uncompressed domains where the three algorithms have been exhaustively analyzed. We statistically present the results obtained which showed no significant depreciation in the recognition accuracies.
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Evaluating the Potentials of Educational Systems to Advance Implementing Multimedia Technologies
Статья научная
Implementing multimedia in education has proven to be quite beneficial to the educational processes by enhancing the students' cognitive abilities, accelerating of memorization and learning, and easing the understanding of abstract entities. But, for an educational system, whether it is a single institution, regional system, or even a state level system, the information that multimedia technologies provide enhancements to the educational processes is not sufficient to achieve the acclaimed advancements. To improve learning by implementing multimedia, decisions about actions and investments should be based on a specific analysis of the current condition of the educational system. In this manner, this research presents an evaluation methodology that supports the purposes of strategic planning and investments in education, in the context of advancements implementing multimedia. The methodology takes into account three key aspects: i) multimedia equipment and IT resources, ii) teachers' competencies and their interest in adding multimedia to their lectures, and iii) promotional events about using multimedia in education. As a case study, a segment of the educational system in a municipality in R. Macedonia was evaluated, where the results showed the system's strong and weak aspects, giving a profound direction in which the future enhancement efforts should be conducted.
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Evaluating the Project based Organizational Teaching-Learning Process
Статья научная
Organizational Training and Learning are among the 22 key process areas in CMM. These two processes are subject for improvement based on its framework and execution. In this paper, we have worked on project-based frameworks for organizational training and learning and have attempted to validate them in the software developmental organizations and in an institution teaching software engineering. The empirical validation is carried out with those case studies and significant results are obtained in assessing the improvement in the two process areas. Moreover, this work is also extended to accommodate improvement in the regular conventional OTL processes.
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Evaluating the Undergraduate Course based on a Fuzzy AHP-FIS Model
Статья научная
Course evaluation is a critical part of undergraduate curriculum in computer science. Most existing evaluation methods are based on questionnaire by analyzing the satisfaction rate of the respondents. However, there are many indicators such as attendance rate, activity level and average score that can reflect the overall effectiveness of the course. Limited research has taken all those indicators into account during course evaluation. This research chooses an innovative perspective that considers course evaluation as a multiple criteria decision-making problem. A hybrid model is proposed to measure the course effectiveness regarding various indicators. The indicators are first prioritized by a fuzzy Analytic Hierarchical Process (AHP) model which applies fuzzy numbers to deal with the uncertainty brought by subjective judgement. A hierarchical fuzzy inference system (FIS) is then designed to evaluate the course effectiveness, which reduces the number of the fuzzy IF-THEN rules and increases the efficiency compared to the traditional FIS. A numerical example is presented to demonstrate the application. The proposed model helps not only judge an individual course based on a comprehensive view but also rank multiple courses.
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Evaluating the quality of proposed agile XScrum model
Статья научная
The software companies are practicing XP and Scrum models from last several years. XP lacks in management practices whereas Scrum is weak in engineering practices. Due to continually promising need of agile development, this research tackles the problems of XP and Scrum by integrating them to enrich the strengths of XP and Scrum and suppress their limitations. The previous attempts provide little effective empirical evidence regarding the integration of XP and Scrum. Therefore, there is a pressing need to provide empirical evidence for the integration of XP and Scrum to show its usefulness developing the software projects. The same is accomplished by proposing XScrum model. Another goal of this paper is to analyze the quality of proposed XScrum with existing XP and Scrum. The proposed XScrum is validated by performing three case studies for three industrial projects and the results are described in the paper. The results are presented using quantitative and qualitative data. The results provide empirical evidence that there is a significant improvement in quality of proposed XScrum as compared to the existing XP and Scrum.
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Evaluating the use of Toondoo for collaborative e-learning of selected pre-service teachers
Статья научная
With the growing reliance on information technology, new trends were marshaled in the field of education to produce graduates endowed with 21st century skills. It is unequivocal that collaborative e-learning encourages teachers to innovate for the enhancement of students' learning. In furtherance of the ongoing teaching-learning upgrades, this study aimed to evaluate the use of Toondoo as a tool for collaborative e-learning to selected education students. Specifically, this study determined the extent to which Toondoo has promoted students' collaborative e-learning, and identified the influence of Toondoo to students' learning. Using descriptive-correlation design, results showed that students exhibit positive attitudes on the use of Toondoo. Results further revealed that Toondoo has significantly influenced students' performance, albeit they differ according to their attitudes toward the employment of Toondoo.
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Evaluation Framework for Disabled Students based on Speech Recognition Technology
Статья научная
This paper intends to develop an evaluation framework for the students with disabilities based on speech recognition technology. Education is the most significant ingredient in the development and empowerment of individuals. Till the last decade, education was provided to the persons with disabilities in segregated school settings or “special schools”. But in the recent years, there has been a great shift in societal attitude towards disabled students globally. The calls for “integration” of all students, disabled students and non–disabled students into the mainstream classroom environments have gathered momentum worldwide. In the pre–existing frameworks, the disabled students faced great difficulty while interacting with the system. The prime objective of our proposed framework is to provide a user–friendly and interactive environment that gives equal opportunities to all the students being evaluated. The utilization of speech recognition technology would lead to the elimination of all misinterpretations arising due to the human scribe or mediator and would enhance the ability of the disabled students to keep pace with the other students.
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Evaluation of Data Mining Techniques for Predicting Student’s Performance
Статья научная
This paper highlights important issues of higher education system such as predicting student’s academic performance. This is trivial to study predominantly from the point of view of the institutional administration, management, different stakeholder, faculty, students as well as parents. For making analysis on the student data we selected algorithms like Decision Tree, Naive Bayes, Random Forest, PART and Bayes Network with three most important techniques such as 10-fold cross-validation, percentage split (74%) and training set. After performing analysis on different metrics (Time to build Classifier, Mean Absolute Error, Root Mean Squared Error, Relative Absolute Error, Root Relative Squared Error, Precision, Recall, F-Measure, ROC Area) by different data mining algorithm, we are able to find which algorithm is performing better than other on the student dataset in hand, so that we are able to make a guideline for future improvement in student performance in education. According to analysis of student dataset we found that Random Forest algorithm gave the best result as compared to another algorithm with Recall value approximately equal to one. The analysis of different data mini g algorithm gave an in-depth awareness about how these algorithms predict student the performance of different student and enhance their skill.
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Evaluation of Ensemble Classifiers for Handwriting Recognition
Статья научная
One of the major developments in machine learning in the past decade is the ensemble method, which finds highly accurate classifier by combining many moderately accurate component classifiers. In this research work, new ensemble classification methods are proposed for homogeneous ensemble classifiers using bagging and heterogeneous ensemble classifiers using arcing classifier and their performances are analyzed in terms of accuracy. A Classifier ensemble is designed using Radial Basis Function (RBF) and Support Vector Machine (SVM) as base classifiers. The feasibility and the benefits of the proposed approaches are demonstrated by the means of real and benchmark data sets of recognizing totally unconstrained handwritten numerals. The main originality of the proposed approach is based on three main parts: preprocessing phase, classification phase and combining phase. A wide range of comparative experiments are conducted for real and benchmark data sets of recognizing totally unconstrained handwritten numerals. The accuracy of base classifiers is compared with homogeneous and heterogeneous models for data mining problem. The proposed ensemble methods provide significant improvement of accuracy compared to individual classifiers and also heterogeneous models exhibit better results than homogeneous models for real and benchmark data sets of recognizing totally unconstrained handwritten numerals.
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Evaluation of Information Retrieval Based Ontology Development Editors for Semantic Web
Статья научная
Ontology is one of the central area in natural language processing (NLP), artificial intelligence (AI) information retrieval (IR) and semantic web (SW). If you are working on ontology project, this paper will give you the relevant information about ontology related terms and best ontology development editor. In this paper five ontology development editors are reviewed and compared with their updated versions. They are Apollo1.0, SWOOP 2.3Beta4, Protégé 5.0, Graffoo 1.0 and Neon 2.5.2. Comparison of two main data models ontology and RDBMS is also done. This paper also present the classification of ontology languages from those reported in the Literature, with a special attention accorded to the interoperability between them. Additionally, this paper presents the important terms related to ontology. The main criterion for comparison of these tools and languages was the user interest and their application in different kind of real world tasks. The primary goal of this study is to introduce these important tools, languages and data models to ensure more understanding from their use.
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Evaluation of Performance on Open MP Parallel Platform based on Problem Size
Статья научная
This paper evaluates the performance of matrix multiplication algorithm on dual core 2.0 GHz processor with two threads. A novel methodology was designed to implement this algorithm on Open MP platform by selecting time of execution, speed up and efficiency as performance parameters. Based on the experimental analysis, it was found that a good performance can be achieved by executing the problem in parallel rather than sequential after a certain problem size.
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Evaluation of the Cost Estimation Models: Case Study of Task Manager Application
Статья научная
The need to accurately estimate time and cost for effective planning of software projects is becoming crucial driven by the escalating demands of the software market. Several models proposed in the history of Software Engineering discipline to estimate time, costs associated with planning and managing software projects as Line of Code (LOC), Function Point (FP) and Constructive Cost Model (COCOMO). This paper focuses upon the COCOMO Model. It is further consisted of its two sub models called COCOMO I and COCOMO II. The primary objective of this research is to use an appropriate case study to evaluate the accuracy of the sub models COCOMO I and II and ascertain the variation of the realistic resource effort, staff and time. The findings to date show that the Application Composition Model of COCOMO II is more accurate in determining time and cost for the successful conclusion of a software project than the other two COCOMO I and II Models for a similar application for example Task Manager.
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Evaluation: The New Philosophical Roles & Psychological Means
Статья научная
Evaluation Roles and Means are very broad. It concerns with n number of attributes. This paper discussed the relationship between evaluation & research, philosophy of evaluation, physiology of evaluation, Evaluation in applied psychology. In the above context, how the basic logic of evaluation is set with evaluation fields and the phases of evaluation process.
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Evolution and Future Generation of TV
Статья научная
No other electronic media has created as much mass impact as the TV. TV is both a personal as well as family/community device which makes it reach a large population. Obviously the immense popularity of TV has resulted in an unprecedented growth of TV viewing as well as technology. From the simple TV today one can have a smart TV with varying features satisfying all sections of society. The TV technology has grown in all aspects namely the TV studio technology, the TV transmitter & broadcast technology and the TV receiving device technology. Not only have the TV signals been converted from analog to digital, today one has high definition TV, the IPTV, the mobile TV and the 3D TV commercially available. It is very interesting and important to trace the evolution of TV technology from its basic form as in 1930s to date and to visualize their technical features at various stages of developments. This paper gives an overview of the developments in TV technology highlighting their important features.
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