• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.51-59
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• 2011

In this paper, we propose the standardized idea for learning environment of e-Learning 2.0 (originated from Web 2.0 paradigm) to overcome limitations of current passive e-Learning environment. Because current LMS/ LCMS which manages e-learning systems has the limitation of providing various interactive elements when people use video contents to study, it lacks real-timeness and interactivity between teacher-learner and learner-learner in the operation of video contents and has difficulty in measuring accurate progress rate of learners in the process of teaching-learning. Therefore, we designed multimedia contents(both-way learning requisite) to overcome limitations of current e-Learning system and to maximize the effect of learning of learners so that it makes possible to interact between learners and teachers in realtime. For this, this thesis designs the standardized idea based on expanded SCORM standard which is now used for manufacturing LMS/LCMS, and according to ideas we have proposed, it implements e-learning multimedia environment.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.472-472
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• 2006

• Journal of Computational Design and Engineering
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• v.2 no.1
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• pp.26-37
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• 2015

A lot of researchers have been investigating interactive portable projection systems such as a mini-projector. In addition, in exhibition halls and museums, there is a trend toward using interactive projection systems to make viewing more exciting and impressive. They can also be applied in the field of art, for example, in creating shadow plays. The key idea of the interactive portable projection systems is to recognize the user's gesture in real-time. In this paper, a vision-based shadow gesture recognition method is proposed for interactive projection systems. The gesture recognition method is based on the screen image obtained by a single web camera. The method separates only the shadow area by combining the binary image with an input image using a learning algorithm that isolates the background from the input image. The region of interest is recognized with labeling the shadow of separated regions, and then hand shadows are isolated using the defect, convex hull, and moment of each region. To distinguish hand gestures, Hu's invariant moment method is used. An optical flow algorithm is used for tracking the fingertip. Using this method, a few interactive applications are developed, which are presented in this paper.

• Journal of Korean Elementary Science Education
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• v.20 no.2
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• pp.187-196
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• 2001

Students' journals in science class are supposed to contribute to students' science teaming and to provide plentiful information on students' learning and progress. If interaction could be reinforced in the process of writing journals, the positive effects of the journals are expected to be increased. New approaches in teaching should be supported by school and community. Otherwise, teachers are frequently frustrated and failed to introduce new ways of instruction into science classes. The purposes of the study are to develop interactive journals, and approaches to introduce interactive journals at school level. The status and situation of the school were investigated by survey. Interactive journals were developed by teachers who experienced workshops on developing journals. A model journal was provided as a guidance to teachers. To establish environments for introducing journals in the school, an invited lecture was provided to increase parents' perceptions on journals. A communication system among students, parents, and teachers was established, and educational materials, such as encyclopedia, books, computers, and so on were prepared. For efficient administration of journals, various prizes and events were established. As a result of the study, teachers participated experienced professional development in terms of journals, interactive journals for science class were developed, the environments for the introduction of interactive journals at school level were established, and most students successfully completed science journals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.10
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• pp.3458-3478
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• 2022

Automatic modulation recognition is the core algorithm in the field of modulation classification in communication systems. Our investigations show that deep learning (DL) based modulation recognition techniques have achieved effective progress for multiple-input multiple-output (MIMO) systems. However, network complexity is always an additional burden for high-accuracy classifications, which makes it impractical. Therefore, in this paper, we propose a low-complexity dimensional interactive lightweight network (DilNet) for MIMO systems. Specifically, the signals received by different antennas are cooperatively input into the network, and the network calculation amount is reduced through the depth-wise separable convolution. A two-dimensional interactive attention (TDIA) module is designed to extract interactive information of different dimensions, and improve the effectiveness of the cooperation features. In addition, the TDIA module ensures low complexity through compressing the convolution dimension, and the computational burden after inserting TDIA is also acceptable. Finally, the network is trained with a penalized statistical entropy loss function. Simulation results show that compared to existing modulation recognition methods, the proposed DilNet dramatically reduces the model complexity. The dimensional interactive lightweight network trained by penalized statistical entropy also performs better for recognition accuracy in MIMO systems.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.814-819
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• 2004

Soft engineering, based on symbiotic coexistence of human, machines and environment, is a new engineering field to explore the proper technology and the proper way of engineering. To explore soft engineering intents easily, various robot projects at Pusan National University conducted are presented. Thought experiment, interactive e-leaning, rapid prototyping engineering, biomimciry, tangibility, and ubiquity are concepts to be explored. Thought experiments projects are organized and performed, which include robot assembly game, Turing test, and robotics in science fiction. "Junk robot project" and "ubiquitous Pusan National University (u-PNU) project" have been organized. Also, bug robot project, interactive robot project, and interactive emotional robot projects are introduced. Weekly science fiction films are shown and discussed.

• Korean Journal of Computational Design and Engineering
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• v.15 no.5
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• pp.375-382
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• 2010

As the workers are getting old, they need to be expert in their fields. Expertise is an invaluable means of shipbuilding industries because of the technological advancements. Therefore, the workers have to attend training seminars and upgrade their technical knowledge. In shipbuilding industries, most workers operate transporters based on experience not on learning from specialization in the shipyard. It is needed for the workers of transporters to be educated technical manual and system. Thus, this research shows that educational system which is interactive and very effective with Augmented Reality(AR) for the non-specialist workers. The educational interactive system based on AR is very supportive and worth for the workers. This study considers the system which makes the workers reduce malfunction of the products and mistakes.

• Journal of Advanced Navigation Technology
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• v.22 no.5
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• pp.472-477
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• 2018

In this paper, we develop interactive content services for preventing depression of users through an intelligent Internet of Things(IoT) mirror system. For interactive content services, an IoT mirror device measures attention and meditation data from an EEG headset device and also measures facial expression data such as "sad", "angery", "disgust", "neutral", " happy", and "surprise" classified by a multi-layer perceptron algorithm through an webcam. Then, it sends the measured data to an oneM2M-compliant IoT server. Based on the collected data in the IoT server, a machine learning model is built to classify three levels of depression (RED, YELLOW, and GREEN) given by a proposed merge labeling method. It was verified that the k-nearest neighbor (k-NN) model could achieve about 93% of accuracy by experimental results. In addition, according to the classified level, a social network service agent sent a corresponding alert message to the family, friends and social workers. Thus, we were able to provide an interactive content service between users and caregivers.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.429-440
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• 2001

To achieve a computer tutor framework with high learning effects as well as practicality, the goal of this research has been set to developing an intelligent tutor for problem-solving in mathematics domain. The maine feature of the CyberTutor, a computer tutor developed in this research, is the facilitation of a learning environment interacting in accordance with the learners differing inferential capabilities and needs. The pedagogical information, the driving force of such an interactive learning, comprises of tutoring strategies used commonly in various domains such as phvsics and mathematics, in which the main contents of learning is the comprehension and the application of principles. These tutoring strategies are those of testing learners hypotheses test, providing hints, and generating explanations. We illustrate the feasibility and the behavior of our propose framework with a sample problem-solving learning in geometry. The proposed tutorial framework is an advancement from previous works in several aspects. Firstly, it is more practical since it supports handing of a wide range of problem types, including not only proof types but also finding-unkown tpes. Secondly, it is aimed at facilitating a personal tutor environment by adapting to learners of varying capabilities. Finally, learning effects are maximized by its tutorial dialogues which are derived from real-time problem-solving inference instead of from built-in procedures.

• Journal of Advanced Navigation Technology
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• v.16 no.5
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• pp.864-870
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• 2012

Voice pattern recognition technology to solve the problems of the existing problems and common issues that you may have in language learning content analysis. This is the first problem of language-learning content, online learning posture. Game open another web page through the lesson, but the concentration of the students fell. Have not been able to determine the second issue according Speaking has made the learning process actually reads. Third got a problem with the mechanical process by a learning management system, as well by the teacher in the evaluation of students and students who are learning progress between the difference in the two. Finally, the biggest problem, while maintaining their existing content made to be able to solve the above problem. Speaking learning dedicated learning programs under this background, voice pattern recognition technology learning process for speech recognition and voice recognition capabilities for learning itself has been used in the recognition process the data of the learner's utterance as an audio file of the desired change to a transfer to a specific location of the server or SQL server may be easily inserted into any system or program, any and all applicable content that has already been created without damaging the entire component because the new features were available. Contributed to this paper, active participation in class more interactive teaching methods to change.