• Journal of the Korea Society of Computer and Information
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• v.19 no.4
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• pp.149-158
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• 2014

The rapidly changing 21st-century knowledge and information society is emphasizing converged education that crosses various academic fields. In particular, the society expected the cultivation of the talent who balance scientific creativity and artistic sensitivity by adding arts to the existing converged education revolving around science and technology. However, at present, most STEAM education has been actively conducted with a focus on science and technology, whereas the subject of arts has been regarded or utilized as a supplementary means. Its problem is that the educational characteristics and values of art education have not been effectively utilized in educational terms and this could lead to superficial integrated education. In this respect, this study had the knowledge of various fields, such as science, technology, and mathematics, utilized usefully during the process of experiencing and creating arts. Accordingly, this study designed an education programs as with the case of Nam-Jun Baek who expanded the dominion of arts by creatively utilizing his own time's scientific technologies. In this educational process, the target program was developed in a manner that enables EPL to be utilized essentially as the study's knowledge-based tool and medium. The results of applying this educational program in 5th-grade elementary school students showed that the program has positive effects on the creative attributes of the students.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.459-466
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• 2018

Gendered innovations is a term used by policy makers and academics to refer the process of creating better research and development (R&D) for both men and women. In this paper, we analyze the literatures in image and speech signal processing that can be used in ICT, examine the importance of gendered innovations through case study. Therefore the latest domestic and foreign literature related to image and speech signal processing based on gender research is searched and a total of 9 papers are selected. In terms of gender analysis, research subjects, research environment, and research design are examined separately. Especially, through the case analysis of algorithms of the elderly voice signal processing, machine learning, machine translation technology, and facial gender recognition technology, we found that there is gender bias in existing algorithms, and which leads to gender analysis is required. We also propose a gendered innovations method integrating sex and gender analysis in algorithm development. Gendered innovations in ICT can contribute to the creation of new markets by developing products and services that reflect the needs of both men and women.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.4
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• pp.65-73
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• 1997

This paper proposes a new method of the structure pruning of dynamic recurrent neural networks (DRNN) using evolutionary computations. In general, evolutionary computations are population-based search methods, therefore it is very useful when several different properties of neural networks need to be optimized. In order to prune the structure of the DRNN in this paper, we used the evolutionary programming that searches the structure and weight of the DRNN and evolution strategies which train the weight of neuron and pruned the net structure. An addition or elimination of the hidden-layer's node of the DRNN is decided by mutation probability. Its strategy is as follows, the node which has mhnimum sum of input weights is eliminated and a node is added by predesignated probability function. In this case, the weight is connected to the other nodes according to the probability in all cases which can in- 11:ract to the other nodes. The proposed pruning scheme is exemplified on the stabilization and position control of the inverted-pendulum system and visual servoing of a robot manipulator and the effc: ctiveness of the proposed method is demonstrated by numerical simulations.

• Convergence Security Journal
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• v.16 no.3_1
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• pp.27-35
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• 2016

This thesis analyzes the backgrounds of the third offset strategy of the US Department of Defense. The key technology areas to be developed and the implications of the 3rd strategy are also examined. The potential great powers, China and Russia have catched up with US in the certain areas of military technologies. The technological superiority of US military is found to have been eroded. The US DOD needs a new defense policy called the 3rd offset strategy to meet this new challenge. The 5 basic technology areas were identified; learning machines, human-machine collaboration, machine-assisted human operations, human-machine combat teaming, and autonomous weapons. The 3rd offset strategy should be managed not to move to the new arms race with rivalries. The defense acquisition system also needs to be improved for the smooth flow of the advanced commercial technologies to the defense sector. Korea needs to figure out the possible technologies of co-research and development with US.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.335-347
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• 2018

The purpose of this study was to find more effective mental health intervention for school based intervention with mental health problem in an elementary school. A systematic review was conducted according to the PRISMA checklist. We accessed databases including RISS, KISS, and the National Assembly Library of Korea. Subject studies were classified according to type of intervention, subject characteristic, and evaluation. Finally, twenty-five studies matched the inclusion criteria. According to types of intervention, it was classified into four types which are psychoeducation(self-management skills, social skills, social emotional learn ing), behavior intervention(positive behavior support, modeling), psychotherapy(art therapy, counseling and parent coaching), and recreation intervention(robot intervention, horticultural therapy). The most of subjects were intellectual disability, the following subjects were ADHD. The most areas of evaluation were emotional change and attention. The findings of this review support school based intervention and provide evidence. And it can be used as an important basic data for preparing more effective mental health-related school-based interventions.

• The Journal of Korean Association of Computer Education
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• v.19 no.2
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• pp.31-40
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• 2016

Textbook is a tool that helps achieve the learning objectives based on the content of the curriculum. The contents of the textbook will be constructed newly because revised curriculum 2015 was announced. The aim at this study is to provide an indication of the textbook writing. To achieve the objectives, we conducted a pilot study in order to analyze the content of the textbook of informatics currently being used in middle schools and to derive the direction of access to the newly configured physical computing unit. Analysis of content elements was used Romey. The pilot studied makes lesson harmonized with H/W and S/W by utilizing the robot. According to the results of the analysis, there is one textbook among the currently used textbooks that is suitable to help students develop their thinking and in the case of physical computing unit, inquiry instruction showed positive results. This study suggestions necessity of writing types that sets importance on activities in the form of textbook.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.6
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• pp.1379-1386
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• 2005

For efficient welding it is necessary to maintain stability of the welding process and control the shape of the welding bead. The welding quality can be controlled by monitoring important parameters, such as, the Arc Voltage, Welding Current and Welding Speed during the welding process. Welding systems use either a vision sensor or an Arc sensor, both of which are unable to control these parameters directly. Therefore, it is difficult to obtain necessary bead geometry without automatically controlling the welding parameters through the sensors. In this paper we propose a novel approach using fuzzy logic and neural networks for improving welding qualify and maintaining the desired weld bead shape. Through experiments we demonstrate that the proposed system can be used for real welding processes. The results demonstrate that the system can efficiently estimate the weld bead shape and remove the welding detects.

• Journal of IKEEE
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• v.24 no.3
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• pp.783-790
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• 2020

In this paper, the human detecting radar system for indoor security applications is proposed, and its FPGA-based implementation results are presented. In order to minimize the complexity and memory requirements of the computation, the top half of the spectrogram was used to extract features, excluding the feature extraction techniques that require complex computation, feature extraction techniques were proposed considering classification performance and complexity. In addition, memory requirements were minimized by designing a pipeline structure without storing the entire spectrogram. Experiments on human, dog and robot cleaners were conducted for classification, and 96.2% accuracy performance was confirmed. The proposed system was implemented using Verilog-HDL, and we confirmed that a low-area design using 1140 logics and 6.5 Kb of memory was possible.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.315-316
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• 2007

This paper presents a new methodology to improve movement database for a humanoid robot. The database is initially full of human motions so that the kinetics characteristics of human movement are immanent in it. then, the database is updated to the pseudo-optimal motions for the humanoid robot to perform more natural motions, which contain the kinetics characteristics of robot. for this, we use the evolutionary algorithm. the methodology consists of two processes : (1) the offline imitation learning of human movement and (2) the online generation of natural motion. The offline process improve the initial human motion database using the evolutionary algorithm and inverse dynamics-based optimization. The optimization procedure generate new motions using the movement primitive database, minimizing the joint torque. This learning process produces a new database that can endow the humanoid robot with natural motions, which requires minimal torques. In online process, using the linear combination of the motion primitive in this updated database, the humanoid robot can generate the natural motions in real time. The proposed framework gives a systematic methodology for a humanoid robot to learn natural motions from human motions considering dynamics of the robot. The experiment of catching a ball thrown by a man is performed to show the feasibility of the proposed framework.

• Journal of the Korea Society for Simulation
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• v.22 no.1
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• pp.53-61
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• 2013

The purpose of this paper is to examine how the humans learn and perceive the weight of objects corresponding to visual information in virtual environment. We conducted two kinds of load-on-tasks with two virtual objects that have same weight but different visual cues; have same visual cues but changed weight by trails. We found that the subject could not generate appropriate force for the smaller and changed weight objects in the beginning of the trials. the discrepancy between the expected weight and actual force consequences sue to visually invoked size and previous experience made subjects perceive the small object were heavier. one the other hand, after the tasks were repeated, the subject responded the weights were the same or very similar when the mismatch between the expected weight and the actual weight became vanished. this means that the sensorimotor feedback influences the anticipatory control scheme and weight perception aggressively in virtual environment.