• 정보교육학회논문지
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• 제9권4호
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• pp.635-648
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• 2005

21세기를 맞아 컴퓨터와 정보 통신 기술의 발달로 사회는 빠르게 변화하고 있으며, 기하급수적으로 증가하는 인터넷의 사용은 교수 학습의 패러다임을 변화시키고 있다. 따라서 새로운 정보통신기술을 이용한 학교 교육 현장 및 교육방법의 변화는 불가피한 것이 되었다. 21세기의 지식정보사회에 주역으로 살아갈 학생들에게 최첨단 매체를 이용하여 폭발적으로 증가하는 정보를 효과적으로 수용할 수 있도록 하기 위해서는 정보 소양 교육뿐만 아니라 활용 교육, 더 나아가 평생학습 사회 실현을 위한 정보화 조기 교육이 무엇보다 절실히 필요하다. 이에 본 연구에서는 ICT 활용 교육의 가장 중심에 있으면서 ICT 활용 교육을 주도해 나가는데 가장 앞장서야 할 초등학교 교사들의 ICT 활용 능력에 대해 좀 더 구체적으로 파악해 보고 ICT 활용 교육의 실태와 문제점을 알아봄으로써 ICT 활용 교육의 개선 방안을 제시한다.

• Journal of Platform Technology
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• 제6권1호
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• pp.24-30
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• 2018

LMT 는 10 가지 풍경요소 그림을 이용하여 내담자의 심리 상태를 분석하는 그림 검사기법이다. 본 논문에서는 LMT 그림 분석에 필요한 지식 베이스를 구축한다. 이를 기반으로 그림 검사 후 내담자에게 제공되는 평가 보고서를 생성하는 LMT 그림 진단지원 시스템을 제안하고, 구현한다. 이 시스템은 각종 문헌 및 연구 결과를 기반으로 진단 결과를 생성하기 때문에 진단 결과의 객관성을 제고한다. 또한, 향후 LMT 그림분석에 대한 지식을 지식 베이스에 축적할 수 있어 지속적으로 확장이 가능하다. 본 시스템은 웹 기반으로 서비스할 수 있도록 구현되었으며, 실제 사례를 이용하여 지원 시스템의 효과성을 보였다.

• 한국IT서비스학회지
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• 제17권3호
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• pp.53-61
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• 2018

In this paper, we propose a car sealing monitoring system combined with ICT Technology. The automobile sealer is an adhesive used to bond inner and outer panels of doors, hoods and trunks of an automobile body. The proposed car sealer monitoring system is a system that can accurately and automatically inspect the condition of the automobile sealer coating process in the general often factory production line where the lighting change is very severe. The sealer inspection module checks the state of the applied sealer using an area scan camera. The vision inspection algorithm is adaptive to various lighting environments to determine whether the sealer is defective or not. The captured images and test results are configured to send the task results to the task manager in real-time as a smartphone app. Vision inspection algorithms in the plant outdoors are very vulnerable to time-varying external light sources and by configuring a monitoring system based on smart mobile equipment, it is possible to perform production monitoring regardless of time and place. The applicability of this method was verified by applying it to an actual automotive sealer application process.

• Nuclear Engineering and Technology
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• 제51권3호
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• pp.723-730
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• 2019

Acquiring instrumentation signals generated from nuclear power plants (NPPs) is essential to maintain nuclear reactor integrity or to mitigate an abnormal state under normal operating conditions or severe accident circumstances. However, various safety-critical instrumentation signals from NPPs cannot be accurately measured on account of instrument degradation or failure under severe accident circumstances. Reactor vessel (RV) water level, which is an accident monitoring variable directly related to reactor cooling and prevention of core exposure, was predicted by applying a few signals to deep neural networks (DNNs) during severe accidents in NPPs. Signal data were obtained by simulating the postulated loss-of-coolant accidents at hot- and cold-legs, and steam generator tube rupture using modular accident analysis program code as actual NPP accidents rarely happen. To optimize the DNN model for RV water level prediction, a genetic algorithm was used to select the numbers of hidden layers and nodes. The proposed DNN model had a small root mean square error for RV water level prediction, and performed better than the cascaded fuzzy neural network model of the previous study. Consequently, the DNN model is considered to perform well enough to provide supporting information on the RV water level to operators.

• 한국컴퓨터정보학회논문지
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• 제24권8호
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• pp.37-43
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• 2019

The existing smart farm technology has been systematized for the mass production rather than the consumer. There are many problems such as economical aspect to apply to actual rural environment due to aging. The purpose of this study is to apply smart farm technology based on the applicability of population aged in rural areas. Due to the heat wave, the crops in general greenhouse cultivation facilities suffered from damage such as sunlight damage. To minimize such damage, adjust the temperature and humidity environment or install a light-shielding film. However, the workers in the rural areas are aging and the elderly who are farming alone have a lot of difficulties in doing so. In the case of people with weak physical strength, there is a danger that they may lead to safety accidents when carrying heavy loads. In this paper, we propose 'Smart Palm capable of automatic transportation function', applying small smart vehicles that follow workers to existing smart farms to improve and prevent these problems. It is a smart farm that performs the control functions of the existing smart greenhouse environment, installs the rail for each trough, and has a vehicle that follows the worker. The smart app can directly control the greenhouse and the vehicle remotely manually.

• 정보교육학회논문지
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• 제13권3호
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• pp.371-382
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• 2009

현재 580만 명의 회원을 가진 에듀넷은 대표적인 국가교육정보서비스임에도 불구하고 초등학교 현장에서의 에듀넷 사용빈도와 활용성은 높지 않은 실정이다. 따라서 본 연구에서는 부산 경남 지역 초등학교 교사들을 대상으로 설문을 통해 에듀넷 서비스 활용실태와 문제점을 파악하여 개선 방향과 활성화 방안을 모색코자 하였다. 연구결과 교사들은 ICT 활용교육에 에듀넷 서비스는 5.3%, 사설교육정보서비스는 93.1%를 사용하고 있는 것으로 나타나 에듀넷 서비스보다는 사설교육정보서비스를 더 많이 이용하고 있었다. 에듀넷 서비스를 자주 이용하지 않는 주요 이유로 자료 검색의 어려움(29.4%)과 양질의 컨텐츠 부족(25%)을 지적하였다. 에듀넷 이용 활성화를 위해서는 이용의 불편사항을 보완하고 교사가 요구하는 서비스를 강화해야 하며, 우수한 교육 자료를 효율적으로 제공하여 교사가 이를 적극적으로 교육에 활용할 수 있도록 해야 한다.

• International Journal of Knowledge Content Development & Technology
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• 제10권3호
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• pp.33-50
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• 2020

Knowledge recipes are packages of knowledge which arise from the process of combining the knowledge assets in the organization in distinctive ways. This involves converting them into useful outputs which are the ideal core competitive advantage enablers for companies. The major objective of this study was to propose a knowledge recipe for financial-sector state corporations in Kenya. The study adopted a convergent parallel mixed methods research design. Quantitative and qualitative data were collected using questionnaires and key informant interviews. The target population of the study was 1574 respondents drawn from all financial state corporations. A multistage sampling technique was used for the study. The first phase involved purposive sampling of the organizations to be studied whereby the four state corporations namely: Capital Markets Authority, Competition Authority of Kenya, Kenya Investment Authority, and Kenya Revenue Authority were identified. The second phase entailed stratified sampling of the respondents in three strata namely senior management team, knowledge management team, and general staff. The authors used a census of all senior management team and knowledge management staff while a simple random sampling technique was used for the general staff. By use of the Krejcie and Morgan table, the actual sample size was 358 respondents from all the four organizations. Data were collected using questionnaires and interview schedules. The qualitative data were analyzed using content analysis while the quantitative data were analyzed by the use of Ms. Excel and VOSviewer and presented using pie charts, bar graphs, and tables. The response rate for this study was 257 (72%). The study revealed that while most employees in the financial sector organizations understand their knowledge needs, knowledge types, knowledge uses and knowledge gaps, they do not have a universal knowledge recipe to facilitate effective knowledge management in their organizations. Consequently, the authors propose a universal knowledge recipe for the state corporations in the financial sector in Kenya. The ingredients of the recipe are legal-knowledge (18%), financial knowledge (15%), administrative knowledge (11%), best practice (10%), lessons learnt (8%), human resource knowledge (8%), research and statistics knowledge (7%), product knowledge (6%), policy and procedure knowledge (5%), ICT knowledge (4%), investor knowledge (3%), markets knowledge (2%), general knowledge (2%) and regulatory framework knowledge (1%).

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.1099-1107
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• 2020

The need for customized services providing real-time subway information through mobile devices for the blind using subway as their primary transportation method is becoming more essential. Therefore, this study is aimed at developing a mobile service to provide real-time subway information by displaying with braille and utilizing Dot Watch. The process of real-time subway information guidance mobile service is as follows: the route confirmation stage, the ride waiting & judgment stage, the on-the-go stage, and lastly, the off-road phase & wrong path state. The service provides real-time appropriate information to the visually impaired people for each situation. It receives subway information through API provided by Seoul Metropolitan Government and ODSay API. The service is developed and coded with in Java using Android Studio, and the communicating method with Dot Watch was done using Bluetooth. The usability evaluation was conducted in terms of efficiency, effectiveness, and satisfaction. The evaluation methods mentioned above were carried out by testees, and feedback was given. They assessed that the information provided was useful but still unstable to use the system. It is expected that actual usability will increase if our study is supplemented using voice output function.

• 한국산학기술학회논문지
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• 제19권10호
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• pp.339-345
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• 2018

본 논문은 기존의 단일 파장의 UV(Ultraviolet: 자외선)-LED(Light-Emitting Diode) 경화형 코팅 방법과 달리 UV 파장에서 동작되는 LED를 중첩한 다중 집광성 UV-LED 경화형 코팅의 경화 특성에 대해 연구하였다. 각각 365nm, 395nm, 420nm, 450nm 단일 파장의 UV-LED 광원을 선정하여 광원의 광속, 지향각 등 광 특성을 분석하였으며, 또한 UV-LED 광원의 파장별 경화 특성에 대해 분석을 통하여 복합 파장에 대한 LED를 최적화를 진행하였다. 다파장 UV 광원이 중첩되었을 경우 경화 성능 상태를 전산모의 실험을 통해 예측하였으며 실제 설계 및 제작을 하였다. 내부 고속경화도 향상을 위해 각각의 LED를 집광시켜 동일한 위치에서 다파장이 합성, 집광되는 multi-spot 방식 모듈을 제작하여 파장 조합 조건을 달리하여 경화제의 접착력 및 표면, 내부 경화도를 실험하였다. 경도계와 FT-IR 분석 장비를 이용하여 표면 경화와 내부 경화 상태를 비교 분석하였다. 그 결과, 단일 파장보다 UV-LED 4파장을 중첩한 multi-spot방식이 표면 및 내부 경화도의 특성이 높아짐을 확인할 수 있었다.