Toward Development of Distance Learning Environment in the Grid

2010 ◽  
pp. 20-31
Author(s):  
Li Kuan-Ching ◽  
Tsai Yin-Te ◽  
Tsai Chuan-Ko
Keyword(s):  
Distance Learning ◽  
Rapid Development ◽  
Learning Systems ◽  
Grid Technology ◽  
Heterogeneous Environments ◽  
Learning Platform ◽  
New Knowledge ◽  
Distance Learning Environment ◽  
Network Technologies ◽  
And Training

In recent years, with the rapid development of communication and network technologies, distance learning has been popularized and it became one of the most well-known teaching methods, due to its practicability. Over the Internet, learners are free to access new knowledge without restrictions on time or location. However, current distance learning systems still present restrictions, such as support to interconnection of learning systems available in scalable, open, dynamic, and heterogeneous environments. In this chapter, we introduce a distance learning platform based on grid technology to support learning in distributed environments, where open source and freely available learning systems can share and exchange their learning and training contents. We have envisioned such distance learning platform in heterogeneous environment using grid technology. A prototype is designed and implemented, to demonstrate its effectiveness and friendly interaction between learner and learner resources used.

scholarly journals DISTANCE LEARNING COMPUTER SOFTWARE FOR THE ORGANIZATION OF THE POSTGRADUATE EDUCATION FOR INFORMATICS TEACHERS

1970 ◽  
Vol 13 (5) ◽  
Author(s):  
Kateryna R. Kovalska
Keyword(s):  
Distance Learning ◽  
Comparative Analysis ◽  
Computer Software ◽  
Postgraduate Education ◽  
Learning Systems ◽  
Educational Resources ◽  
Learning Platform ◽  
Optimal Distance

The main demands to the distance learning systems which are used for providing the needs of the studying process are defined and characterized in the article. There is also a list of free of charge systems for the management of the educational resources. A comparative analysis of the main systems has been done for determining the optimal distance learning platform for the development of the teachers’ subject-oriented competence in the postgraduate pedagogical education.

scholarly journals Image-Based Automatic Watermeter Reading under Challenging Environments

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 434
Author(s):  
Qingqi Hong ◽  
Yiwei Ding ◽  
Jinpeng Lin ◽  
Meihong Wang ◽  
Qingyang Wei ◽  
...  
Keyword(s):  
Smart Cities ◽  
Rapid Development ◽  
Mobile Network ◽  
Spatial Layout ◽  
Single Image ◽  
Automatic Instrument ◽  
Intelligent Sensors ◽  
Fifth Generation ◽  
Instrument Reading ◽  
Network Technologies

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.

scholarly journals Enhancing Wind Turbine Power Forecast via Convolutional Neural Network

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 261
Author(s):  
Tianyang Liu ◽  
Zunkai Huang ◽  
Li Tian ◽  
Yongxin Zhu ◽  
Hui Wang ◽  
...  
Keyword(s):  
Time Series ◽  
Wind Speed ◽  
Wind Turbine ◽  
Wind Power ◽  
Rapid Development ◽  
Superior Performance ◽  
Learning Platform ◽  
Novel Approach ◽  
Wind Power Forecast ◽  
Transformation Methods

The rapid development in wind power comes with new technical challenges. Reliable and accurate wind power forecast is of considerable significance to the electricity system’s daily dispatching and production. Traditional forecast methods usually utilize wind speed and turbine parameters as the model inputs. However, they are not sufficient to account for complex weather variability and the various wind turbine features in the real world. Inspired by the excellent performance of convolutional neural networks (CNN) in computer vision, we propose a novel approach to predicting short-term wind power by converting time series into images and exploit a CNN to analyze them. In our approach, we first propose two transformation methods to map wind speed and precipitation data time series into image matrices. After integrating multi-dimensional information and extracting features, we design a novel CNN framework to forecast 24-h wind turbine power. Our method is implemented on the Keras deep learning platform and tested on 10 sets of 3-year wind turbine data from Hangzhou, China. The superior performance of the proposed method is demonstrated through comparisons using state-of-the-art techniques in wind turbine power forecasting.

Working together online to enhance learner autonomy: Analysis of learners’ perceptions of their online learning experience

ReCALL ◽  
2012 ◽  
Vol 24 (1) ◽  
pp. 3-19 ◽  
Author(s):  
Jérôme Eneau ◽  
Christine Develotte
Keyword(s):  
Online Learning ◽  
Distance Learning ◽  
Interpersonal Relationships ◽  
Learning Experience ◽  
The Body ◽  
Learning Collaborative ◽  
Online Learners ◽  
Social And Emotional ◽  
Learning Platform ◽  
Working Together

AbstractThis study concerns the development of autonomy in adult learners working on an online learning platform as part of a professional master's degree programme in “French as a Foreign Language”. Our goal was to identify the influence of reflective and collaborative dimensions on the construction of autonomy for online learners in this programme. The material used was 27 self-analysis papers in response to an assignment which asked students to review their distance learning experience (reflective dimension) and to highlight the role of others, if any, in their learning (collaborative dimension). In addition to these two major points, the analysis by category of the body of results shows principally that in qualitative terms, the factors of autonomisation for online learning are interconnected and include: the difficulties related to distance learning and the strategies that learners develop to face those difficulties, the importance of interpersonal relationships in social and emotional terms in overcoming those difficulties, the specific modes of sociability developed for distance learning and the related development of a new type of autonomy that is both individual and collective. The discussion examines the creation, over the course of time, of a new “distance learning culture” that is nonetheless never easy to create and share.

STUDENTS' INDEPENDENT WORK IN UNIVERSITY DISTANCE LEARNING ENVIRONMENT

2021 ◽  
Author(s):  
Irina Rodionova ◽  
Olga Titova ◽  
Ekaterina Konisterova ◽  
Irina Chistyakova ◽  
Irina Golovina
Keyword(s):  
Distance Learning ◽  
Learning Environment ◽  
Distance Learning Environment ◽  
Independent Work

i-DERASSA: e-learning Platform based on Augmented and Virtual Reality interaction for Education and Training

2021 ◽  
Author(s):  
Kahina Amara ◽  
Nadia Zenati ◽  
Oualid Djekoune ◽  
Mohamed Anane ◽  
Ilhem Kheira Aissaoui ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Education And Training ◽  
Learning Platform ◽  
E Learning ◽  
And Training
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