• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1281-1287
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• 2018

In this study, specific elements and functions in modules of the AAC (Augmentative and Alternative Communication) application for children with severe and multiple disabilities were elicited, and screen interface was designed accordingly. As results, screen configuration, communication display edition, audiovisual output, and switch and scanning modules were defined. Screen configuration module consists of communication category, spelling board, favorites, screen lock, and setting function. The Communication display edition module includes communication categories, symbols, and favorites edition. The audiovisual output module provides the ability to adjust the pitch, intensity, speed, and tone of the voice individually in the form of auditory output. In the form of visual output, the background color and size of the frame, border color and thickness are adjusted. The switch and scanning module provides a function to select by pressing the switch when the symbol cell is highlighted audibly and visually. The development of the AAC application designed in this study is needed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.5
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• pp.19-25
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• 2011

With the issue of a Green IT Technology, studies on a environment-friendly luminous source that can reduce Carbon discharge and increase energy efficiency are actively progressed all over the world. Especially, with the problems of high oil price and environmental pollution, LED has made a great attention as a new luminous source that can replace the existing incandescent bulbs and fluorescent lights. In this paper, the proposed streetlight system becomes more intellectual by combining the low power consuming, high efficient, and high luminous LED module with a complex sensor module with temperature, humidity, illumination and motion sensors. Then, we design and implement the Ad-Hoc based LED-IT-Sensor integrated streetlight system that can maximize the energy savings efficiently with central monitoring system and selective remote dimming control by connecting them to the wireless ubiquitous sensor network(USN) using a Zigbee module.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.321-327
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• 2007

본 논문에서는 사용자 중심의 커뮤니티를 정의하고, 사용자의 맥락 정보를 이용한 커뮤니티 구성 방법과 맥락정보 변화에 따른 동적 커뮤니티 재구성 방법을 제안한다. 최근 유비쿼터스 스마트 공간에서 협업 서비스를 제공하기 위한 방법으로 커뮤니티 컴퓨팅에 대한 관심이 증대되고 있다. 하지만 기존 커뮤니티 컴퓨팅 관련 연구에서는 정적인 커뮤니티 구성으로 인해 사용자의 행동 변화에 따른 커뮤니티의 동적 구성이 어렵다. 따라서 커뮤니티를 사용자의 행동에 따라 구성하기 위해서는 사용자 맥락 정보를 이용하는 것이 필요하다. 제안된 방법은 사용자 중심의 정형화된 맥락 모델을 이용하여 사용자의 관심사를 추론하고 커뮤니티의 목적을 설정한다. 그리고 주기적인 사용자의 맥락 정보 감시를 통해 사용자의 행동 변화에 따라 동적으로 커뮤니티 재구성이 가능하게 한다. 커뮤니티 관리 모듈은 사용자의 맥락 정보를 이용하여 구성원들 사이의 관계성을 분석하고, 분석된 관계를 바탕으로 커뮤니티의 특성을 결정한다. 제안된 기법의 유용성을 검증하기 위해서, 맥락인식 기반의 증강현실 경험 공유 시스템을 이용하였고, 사용자의 맥락 정보의 변화에 따른 동적 커뮤니티 구성과 커뮤니티 구성원들간의 콘텐츠에 대한 선택적 공유를 실험하였다. 제안된 방법을 활용하면 선택적 공유를 위한 동적 커뮤니티 구성이 가능하게 될 것으로 기대된다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.973-975
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• 2005

스크립트 언어는 모듈의 결합이나 조정 등의 여러 목적으로 쓰이고 있는 언어이다. 스크립트 언어는 사용의 편리함과 높은 생산성으로 인해 널리 사용되고 있다. 그러나 현재 너무나 많은 스크립트 언어가 개발$\cdot$제시되고 있어 프로그래머가 스크립트 언어를 선택해야 할 때 어떤 언어를 선택해야 할지 판단하기 힘든 실정이다. 이에 본 논문에서는 프로그래밍 편의성 관점에서의 비교 기준을 제시하고 대표적인 스크립트 언어(VB script, Ruby, Perl, Python, Tcl, Lua, Groovy)를 이 기준에 따라 비교하였다. 비교 결과 각 비교 분야에 강점을 보이는 언어를 발견하였다. 본 논문의 결과는 스크립트 언어를 선택하는데 도움이 될 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.351-352
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• 2013

에너지 하베스팅 무선 센서 네트워크 환경에서 센서는 에너지 하베스팅 모듈을 통하여 배터리를 충전하고 충전된 배터리를 이용하여 동작을 한다. 센서는 컨트롤러에게 고정적인 주기로 데이터와 Reclaim 메시지를 전송하고 컨트롤러는 그에 대한 응답으로 ACK 메시지를 전송한다. 본 논문에서는 센서가 컨트롤러에게 데이터와 Reclaim 메시지를 전송하는데 있어 고정적인 주기를 센서 주변의 온도 정보를 이용하여 데이터의 전송주기 및 Reclaim 메시지를 동적으로 제어하여 ACK 메시지를 선택적으로 수신하도록 하였다. 제안하는 선택적 ACK 프로토콜은 기존의 ACK 프로토콜을 저 전력화하는 방법으로써 센서의 한정된 배터리 전력을 보다 효율적으로 사용하여 에너지 하베스팅 무선 센서 네트워크의 Life Time을 연장하였다.

• Journal of Yeungnam Medical Science
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• v.24 no.2
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• pp.148-153
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• 2007

Background : Computer- and web-based simulation methods help students develop problem solving and decision making skills. In addition, they provide reality based learning to the student clinical experience with immediate medical feedback as well as repetitive training, on-site reviews and case closure. Materials and Methods : Seventy-five third-year medical students participated in a two-week simulation program. The students selected four modules from eight modules as follows: airway and breathing 1, cardiac arrest 1, cardiac arrhythmia 1, and chest pain 1, and then selected the first case within each of the modules. After 2 weeks, a pass score was obtained and the data analyzed. The average pass score of over 70% was considered a passing grade for each module. If the student did not pass each module, there was no score (i.e., pass score was zero). In addition, when at least one of the four modules was zero, the student was not included in this study. Results : Seventy-five students participated in the simulation program. Nineteen students were excluded based on their performance. The final number of students studied was 56 students (74.7%). The average scores for each module 1 to 4 were 86.7%, 85.3%, 84.0%, and 84.0%, and the average obtained pass score was 88.6 for the four modules in all 56 students. Conclusion : Medical simulation enabled students to experience realistic patient situations as part of medical learning. However, it has not been incorporated into traditional educational methodology. Here we describe the introduction and the development of various simulation modules and technologies for medical education.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.10
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• pp.461-470
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• 2023

While speech animation generation employing deep learning has been actively researched for English, there has been no prior work for Korean. Given the fact, this paper for the very first time employs supervised deep learning to generate Korean speech animation. By doing so, we find out the significant effect of deep learning being able to make speech animation research come down to speech recognition research which is the predominating technique. Also, we study the way to make best use of the effect for Korean speech animation generation. The effect can contribute to efficiently and efficaciously revitalizing the recently inactive Korean speech animation research, by clarifying the top priority research target. This paper performs this process: (i) it chooses blendshape animation technique, (ii) implements the deep-learning model in the master-servant pipeline of the automatic speech recognition (ASR) module and the facial action coding (FAC) module, (iii) makes Korean speech facial motion capture dataset, (iv) prepares two comparison deep learning models (one model adopts the English ASR module, the other model adopts the Korean ASR module, however both models adopt the same basic structure for their FAC modules), and (v) train the FAC modules of both models dependently on their ASR modules. The user study demonstrates that the model which adopts the Korean ASR module and dependently trains its FAC module (getting 4.2/5.0 points) generates decisively much more natural Korean speech animations than the model which adopts the English ASR module and dependently trains its FAC module (getting 2.7/5.0 points). The result confirms the aforementioned effect showing that the quality of the Korean speech animation comes down to the accuracy of Korean ASR.

• Membrane Journal
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• v.5 no.1
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• pp.35-43
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• 1995

For several years lots of attempts have been made to establish the liquid membrane-based techniques for separations of gas mixtures especially containing carbon dioxide. A more effective system to separate $CO_{2}$ from flue gases, a circulatory hollow-fiber membrane absorber(HFMA) consisting of absorption and desorption modules with vacuum mode, has been considered in this study. Gas-liquid mass transfer has been modeled on a membrane module with non-wetted hollow-fibers in the laminar flow regime. The influence of an absorbent flow rate on the separation performance of the circulatory HFMA can be predicted quantitatively by obtaining the $CO_{2}$ concentration profile in a tube side. The system of $CO_{2}/N_{2}$ binary gas mixture has been studied using pure water as an(inert) absorbent. As the absorbent flow rate is increased, the permeation flux(i.e., defined as permeation rate/membrane contact area) also increases. The enhanced selectivity compared to the previous results, on the other hand, shows the decreasing behavior. It has been found obviously that the permeation flux depends on the variations of pressure in gas phase of desorption module. From an accurate comparison with the results of conventional flat sheet membrane module, the advantageous permeability of this circulatory HFMA can be clearly ascertained as expected. Our efforts to the theoretical model will provide the basic analysis on the circulatory HFMA technique for a better design and process.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.466-474
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• 2014

This paper presents the line contention avoidance experiments with an optical switch, which was selected based on the comparison analysis and evaluation of the various characteristics. For example, the function, structure, strengths and weaknesses of the optical switches. After considering the nonblocking, modularity, upgrade ability and optical power loss of the several kind of the switch fabrics, a switch was selected. The selected switch fabric by using wavelength converters was controlled to avoid contention of the optical lines. In this experiment shows an example of three cases. As a result of this experiment, optical signal shows a changed peek of optical power in output. By showing a peak it confirms that the contention was avoided. By analyzing of changed optical power according to the channel setting time and release time to control of the switch could be determined. If this analysis applied to the network design, economical and efficient structures can be formed.

• Journal of Korea Multimedia Society
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• v.13 no.7
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• pp.1016-1022
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• 2010

Far-talking recognition and distributed speech recognition networking techniques are essential to control various and complex home services conveniently with voices. It is possible to control devices everywhere at home by using only voices. In this paper, we have developed the server-client DSP module for distributed speech recognition network system and proposed a new decision rule to decide intelligently whether to accept the recognition results or not by the transferred confidence rate. Simulation results show that the proposed decision rule delivers better performances than the conventional decision by majority rule or decision by first-arrival. Also, we have proposed the new interrupt-polling technique to remedy the defect of existing delay technique which always has to wait several clients' results for a few seconds. The proposed technique queries all client's status after first-arrival and decides whether to wait or not. It can remove unnecessary delay-time without any performance degradation.