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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
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International Journal of Recent Contributions from Engineering, Science & IT
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2197-8581
Published by U of Kassel Homepage  [3 journals]
  • High School Students’ Difficulties and their Causes due to the
           Electromotive Force, in the Study of Direct Current Simple Electric

    • Authors: Gerasimos Vavasis, E.C. Kapotis, G.S. Tombras
      Pages: 4 - 18
      Abstract: This work is part of a larger research, conducted in Greece, about the students' difficulties in understanding the concepts and phenomena of Electricity. The goal of this study is to present the high school students’ difficulties and their causes into the study of basic direct current (dc) circuits, due to the concept of the electromotive force (emf). Researches in over the world have highlighted that the concepts of the emf and the potential difference (pd) create many problems to the students in the study of dc circuits. These difficulties are presented, analyzed and is made an attempt to identify their causes. The results show that, in addition to confirming the existing literature enriched with new findings, to address these difficulties is necessary the development of a teaching approach based on an education model with a new curriculum, where needed (in Greece, for example) and an appropriate education material so that to overcome the lack of understanding of the concepts and laws shown by the students.
      PubDate: 2022-11-04
      DOI: 10.3991/ijes.v10i03.34375
      Issue No: Vol. 10, No. 03 (2022)
  • Virtual Reality in Education: A Comparative Social Media Data and
           Sentiment Analysis Study

    • Authors: Georgios Lampropoulos, Euclid Keramopoulos
      Pages: 19 - 32
      Abstract: It is essential to consider the public’s viewpoints when it comes to significant issues, such as the adoption and integration of technologies in education. This study aims at analyzing and comprehending the public’s perspectives, sentiments and attitudes towards the use of virtual reality in general and in educational settings. After setting the necessary data requirements, 10,457,344 related tweets from Twitter were identified and retrieved. The data was then analyzed using text mining and sentiment analysis. Based on the results, the public positively perceived the use of virtual reality and mostly expressed emotions of anticipation, trust and joy when referring to its use in education. Finally, the role of virtual reality as an effective educational tool that can enhance students’ engagement, motivation and academic performance was highlighted.
      PubDate: 2022-11-04
      DOI: 10.3991/ijes.v10i03.34057
      Issue No: Vol. 10, No. 03 (2022)
  • Lecturers’ Adoption of ICT Tools in Ghanaian Colleges of Education

    • Authors: Emmanuel Kwasi Boateng, Ugorji I. Ogbonnaya, Marien Graham
      Pages: 33 - 48
      Abstract: This study investigated lecturers’ adoption of ICT tools in Ghanaian colleges of education. The participants of this study were 390 lecturers from 25 colleges of education in Ghana. Data was collected using a questionnaire and lesson observation, and the results were analysed quantitatively and qualitatively using descriptive statistics and thematic analysis.    The study revealed that more than two-thirds of the participants/respondents used personal computers, projectors, social media, and LMSs in their education. The lecturers asserted that they utilise ICT tools for research, for storing, retrieving, and sharing files and information in addition to utilising them to teach their courses. The respondents/participants recounted that they grow professionally as a result of using these ICT tools. Additionally, it was discovered that the respondents/participants employed ICT tools in their instruction due to its mobility, time-saving qualities, accessibility, and user-friendliness which aided in the planning and delivery of lessons which boosted the T&L process. It was therefore recommended, among other things, that the Ghanaian government keep the necessary pedagogical ICT tools accessible to lecturers, and that workshops and seminars be organised for all lecturers in Ghana's COEs on how to use some common pedagogical ICT tools that will enhance lecturers' teaching techniques to promote effective learning and fulfill 21st-century teaching skills.
      PubDate: 2022-11-04
      DOI: 10.3991/ijes.v10i03.35059
      Issue No: Vol. 10, No. 03 (2022)
  • Comparative Analysis of Background Subtraction Models Applied on a Local
           Dataset Using a New Approach for Ground-truth Generation

    • Authors: Maryam A. Yasir, Yossra H. Ali
      Pages: 49 - 62
      Abstract: Abstract— Background subtraction is the dominant approach in the domain of moving object detection. Lots of research have been done to design or improve background subtraction models. However, there is a few well known and state of the art models which applied as a benchmark. Generally, these models are applied on different dataset benchmarks. Most of the time Choosing appropriate dataset is challenging due to the lack of datasets availability and the tedious process of creating the ground-truth frames for the sake of quantitative evaluation. Therefore, in this article we collected local video scenes for street and river taken by stationary camera focusing on dynamic background challenge. We presented a new technique for creating ground-truth frames using modelling, composing, tracking, and rendering each frame.  Eventually we applied nine promising benchmark algorithms used in this domain on our local dataset. Results obtained by quantitative evaluations exposed the effectiveness of our new technique for generating the ground-truth scenes to be benchmarked with the original scenes using number of statistical metrics. Furthermore, results shows the outperformance of SuBSENSE model against other tested models.
      PubDate: 2022-11-04
      DOI: 10.3991/ijes.v10i03.34317
      Issue No: Vol. 10, No. 03 (2022)
  • Deep Learning Approaches to Predict Future Frames in Videos

    • Authors: Tariqul Islam, Md. Hafizul Imran, Md. Ramim Hossain, Md. Tamjeed Monshi, Himanish Debnath Himu, Md. Ashikur Rahman, Gourob Saha Surjo
      Pages: 63 - 79
      Abstract: Deep neural networks are becoming central in several areas of computer vision. While there have been a lot of studies regarding the classification of images and videos, future frame prediction is still a rarely investigated approach, and even some applications could make good use of the knowledge regarding the next frame of an image sequence in pixel-space. Examples include video compression and autonomous agents in robotics that have to act in natural environments. Learning how to forecast the future of an image sequence requires the system to understand and efficiently encode the content and dynamics for a certain period. It is viewed as a promising avenue from which even supervised tasks could benefit since labeled video data is limited and hard to obtain. Therefore, this work gives an overview of scientific advances covering future frame prediction and proposes a recurrent network model which utilizes recent techniques from deep learning research. The presented architecture is based on the recurrent decoder-encoder framework with convolutional cells, which allows the preservation of Spatio-temporal data correlations. Driven by perceptual-motivated objective functions and a modern recurrent learning strategy, it can outperform existing approaches concerning future frame generation in several video content types. All this can be achieved with fewer training iterations and model parameters.
      PubDate: 2022-11-04
      DOI: 10.3991/ijes.v10i03.33893
      Issue No: Vol. 10, No. 03 (2022)
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