• Journal of The Korean Association of Information Education
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• v.9 no.4
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• pp.635-648
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• 2005

It meets 21 century and the society is quickly changing with advancement of Information and Communication Technology(ICT), the use of the Internet which increases geometrical progression is changing the paradigm of the instruction and learning. The school education site which uses a consequently new ICT and change of instructional method became to be inevitable. Uses the most up-to-date medium in the students who in the knowledge information society of 21 century will live with the leading actor and it will be able to accommodate information which increases explosively effectively in order, description below hazard only information knowledge education which stands the bay knows application education, compared to further information anger early rising education for the whole life studying social realization more earnestly what than is necessary. In this study, It examined the actual state and a problem point of ICT application ability and ICT application education of the elementary school teachers. It will reach to lead, the reporter to grope the improvement program of ICT application education it did.

• Journal of Platform Technology
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• v.6 no.1
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• pp.24-30
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• 2018

LMT consisting of 10 landscape elements is one of psychology diagnosis method for inspecting the psychological state of client. In this paper, we make knowledge base accumulating knowledge about LMT landscape elements. By using this knowledge base, we also propose and implement LMT diagnosis assistance system generating LMT inspection report being a result of diagnosis. This proposed system generates diagnosis report based on LMT knowledge base which accumulate knowledge from plenty of reference and research project, that's why we improve the objectivity of diagnosis results. And new knowledge about LMT can be accumulated in knowledge base, so the system proposed in this paper can be extensible continuously. The implementation of system proposed in this paper offers web-based services. To show effectiveness of the system, we diagnose the actual case by using the system, and show the diagnosis result.

• Journal of Information Technology Services
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• v.17 no.3
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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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• v.51 no.3
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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.

• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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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.

• Journal of The Korean Association of Information Education
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• v.13 no.3
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• pp.371-382
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• 2009

The most widely-used typical information service of national education, EDUNET has members of 5.8million. But it has been not used in the fields of elementary school. There are short-comings in its usage by members of the elementary school teaching. We would like to find solutions by using a questionnaire to the teachers of elementary school in the Busan and Gyeongsangnam-do, which resolve the problems of the actual condition. Analytical results show that 93.1 percent of the teachers usually use private education information service and 5.3 percent use EDUNET service. The main reason why teachers discourage the use of EDUNET service is that it provides the inconvenience of searching data(29.4%) and insufficiency of good quality contents(25%). In order to revitalize using EDUNET service, EDUNET has to improve on the perceived cumbersome unhandy of searching tools and help teachers to use EDUNET service by offering information of high quality.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.3
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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%).

• Journal of Korea Multimedia Society
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• v.23 no.8
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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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.339-345
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• 2018

We investigated the curing properties of cured coatings for a multi-focal UV-LED. The coatings are for LEDs that operate at multiple UV wavelengths, unlike conventional single-wavelength UV-LEDs. Using UV-LED light sources with wavelengths of 365, 395, 420, and 450 nm, we analyzed the optical characteristics such as the direction of light flux and light source. We also analyzed the curing characteristics at each UV-LED wavelength to optimize the LED for composite wavelengths. The curing performance state was predicted through computer simulation for when the multiple wavelengths of UV light sources are superimposed, and then actual LEDs were designed and fabricated. To improve the internal high-speed curing, a multi-spot module was fabricated, in which each LED is condensed, and multiple wavelengths are synthesized and condensed at the same position. The adhesive strength, surface hardness, and internal hardness of the curing agent were tested by varying the wavelength combination conditions. The surface hardening and internal hardening were compared and analyzed using a hardness tester and FT-IR analyzer. As a result, the characteristics of the surface and internal hardness were improved by a multi-spot method in which four wavelengths were overlapped in a UV-LED rather than a single wavelength.