• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.223-231
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• 2020

The aim of this study was to develop and apply a nursing process simulation scenario for cerebral infarction patients using HPS for nursing students. The effects of this simulation were evaluated and compared with the effects of traditional teaching methods. This study was conducted on 3rd grade students at the College of Nursing from December 7 to December 26, 2018. This study examined 38 subjects in the experimental group and 39 in the control group. This research went through the analysis phase, design phase, and development phase for the development and application of the scenario. The confidence, knowledge, and performance before and after the intervention in the experimental and control groups were analyzed using a t-test. This study developed a simulation scenario based on a nursing process for cerebral infarct patients and was designed to infer three nursing diagnoses. Both groups showed significant pre-post scores except for the clinical performance. The experimental group had higher post-score scores and greater difference between the post-test and pre-test. This study is meaningful in that a standardized scenario of nursing process of infarct patients was developed. In addition, the developed scenario shows the possibility of developing teaching and learning methods that can integrate theoretical learning and practice.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.5
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• pp.423-431
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• 2016

In general LPR(License Plate Recognition) in outdoor image is not so simple differently from in the image captured from manmade environment, because of geometric shape distortion and large illumination changes. this paper proposes three techniques for LPR in outdoor images captured from CCTV. At first, a serially connected multi-stage Adaboost LP detector is proposed, in which different complementary features are used. In the proposed detector the performance is increased by the Haar-like Adaboost LP detector consecutively connected to the MB-LBP based one in serial manner. In addition the technique is proposed that makes image processing easy by the prior determination of LP type, after correction of geometric distortion of LP image. The technique is more efficient than the processing the whole LP image without knowledge of LP type in that we can take the appropriate color to gray conversion, accurate location for separation of text/numeric character sub-images, and proper parameter selection for image processing. In the proposed technique we use DBN(Deep Belief Network) to achieve a robust character recognition against stroke loss and geometric distortion like slant due to the incomplete image processing.

• Journal of The Korean Association of Information Education
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• v.6 no.3
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• pp.328-337
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• 2002

Looking at multimedia education contents from a design point of view, the instructor's design model may differ from the child's understanding model due to gap of the instructor's and child's knowledge. This fact implies it impacts the effectiveness of the education contents. The learning efficiency of Korean typography in WBI for children depends on the font-family, line space, font-size, the age of user, the output device such as the monitor, and other various factors. In this paper, we measured and analyzed on readability of Korean typography in WBI for children by reading speed method. The results of experiments show that readability depends on the font-family of typography, age(grade), and sex of children. In detail, "Goolymche" has the shortest time to be read, and girl and the highest grade students of elementary school have shorter time than boy and the lower grade students. Moreover, we consider the elegance of typography in WBI for holding children's interests because they prefer "Yopseoche". We provide some CSSs in WBI for children based on the experimental results, to used in school fields.

• Journal of the Korean Institute of Landscape Architecture
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• v.38 no.4
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• pp.1-10
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• 2010

The scientific verification of the physiological and psychological effects that result from interaction with green plants would not only provide objective knowledge on the psychological effect of green but would also establish useful grounds for the creation of green spaces that consider human emotions. The present study measured the cerebral activity(cerebral blood flow) and the autonomic nervous system activity (blood pressure, pulse rate, amylase) of fifteen Korean male subjects as they inhaled the natural scent diffused by pine needles. Impression and mood state evaluations of the reactions to the pine scent were carried out using the SD method and POMS. Cerebral activity was observed to be significantly activated in the feeling, judgment, and motor areas of the frontal lobe, as well as the memory area in the temporal lobe. Verbal evaluations by the SD method and POMS indicated a pine scent left natural but stimulated and active impressions, provided vigor, and also reduced confusion. The autonomic nervous system activities, however, showed no significant differences. These findings verified scientifically that a pine scent vitalizes humans both physiologically and psychologically. These results could be useful as fundamental data for the design of green spaces that consider human emotional aspects.

• Journal of the Korean School Mathematics Society
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• v.14 no.3
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• pp.277-293
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• 2011

The purpose of mathematics education is to develop the ability of transforming various problems in general situations into mathematics problems and then solving the problem mathematically. Various teaching-learning methods for improving the ability of the mathematics problem-solving can be tried. However, it is necessary to choose an appropriate teaching-learning method after figuring out students' level of understanding the mathematics learning or their problem-solving strategies. The error analysis is helpful for mathematics learning by providing teachers more efficient teaching strategies and by letting students know the cause of failure and then find a correct way. The following subjects were set up and analyzed. First, the error classification pattern was set up. Second, the errors in the solving process of the function problems were analyzed according to the error classification pattern. For this study, the survey was conducted to 90 first grade students of ${\bigcirc}{\bigcirc}$high school in Chung-nam. They were asked to solve 8 problems in the function part. The following error classification patterns were set up by referring to the preceding studies about the error and the error patterns shown in the survey. (1)Misused Data, (2)Misinterpreted Language, (3)Logically Invalid Inference, (4)Distorted Theorem or Definition, (5)Unverified Solution, (6)Technical Errors, (7)Discontinuance of solving process The results of the analysis of errors due to the above error classification pattern were given below First, students don't understand the concept of the function completely. Even if they do, they lack in the application ability. Second, students make many mistakes when they interpret the mathematics problem into different types of languages such as equations, signals, graphs, and figures. Third, students misuse or ignore the data given in the problem. Fourth, students often give up or never try the solving process. The research on the error analysis should be done further because it provides the useful information for the teaching-learning process.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.31-39
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• 2020

Big data analysis is analyzed and used in a variety of management and industrial sites, and plays an important role in management decision making. The job competency of big data analysis personnel engaged in management analysis work does not necessarily require the acquisition of microscopic IT skills, but requires a variety of experiences and humanities knowledge and analytical skills as a Data Scientist. However, big data education by state-run and state-run educational institutions and job education institutions based on the National Competency Standards (NCS) is proceeding in terms of software engineering, and this teaching methodology can have difficult and inefficient consequences for non-technical majors. Therefore, we analyzed the current Big Data platform and its related technologies and defined which of them are the requisite job competency requirements for field personnel. Based on this, the education courses for big data analysis and visualization techniques were organized for non-technical-based majors. This specialized curriculum was conducted by working-level officials of financial institutions engaged in management analysis at the management site and was able to achieve better educational effects The education methods presented in this study will effectively carry out big data tasks across industries and encourage visualization of big data analysis for non-technical professionals.

• The KIPS Transactions:PartB
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• v.12B no.3 s.99
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• pp.349-356
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• 2005

Artificial Organism-used application areas are expanding at a break-neck speed with a view to getting things done in a dynamic and Informal environment. A use of general programming or traditional hi methods as the representation of Artificial Organism behavior knowledge in these areas can cause problems related to frequent modifications and bad response in an unpredictable situation. Strategies aimed at solving these problems in a machine-learning fashion includes Genetic Programming and Evolving Neural Networks. But the learning method of Artificial-Organism is not good yet, and can't represent life in the environment. With this in mind, this research is designed to come up with a new behavior evolution model. The model represents behavior knowledge with Classification Rules and Enhanced Backpropation Neural Networks and discriminate the denomination. To evaluate the model, the researcher applied it to problems with the competition of Artificial-Organism in the Simulator and compared with other system. The survey shows that the model prevails in terms of the speed and Qualify of learning. The model is characterized by the simultaneous learning of classification rules and neural networks represented on chromosomes with the help of Genetic Algorithm and the consolidation of learning ability caused by the hybrid processing of the classification rules and Enhanced Backpropagation Neural Network.

• The KIPS Transactions:PartD
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• v.12D no.4 s.100
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• pp.627-636
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• 2005

The Intelligent Web Service is proposed for the purpose of automatic discovery, invocation, composition, inter-operation, execution monitoring and recovery web service through the Semantic Web and the Agent technology. To accomplish this Intelligent Web Service, the Ontology is a necessity for reasoning and processing the knowledge by the computer. However, creating service ontology, for the intelligent web service, has two problems not only consuming a lot of time and cost depended on heuristic of service developer, but also being hard to be mapping completely between service and service ontology. Moreover, the markup language to describe the service ontology is currently hard to be learned by the service developer In a short time. This paper proposes the efficient way of designing and creating the service ontology using MDA methodology. This proposed solution reuses the creating model in terms of desiEninE and constructing Web Service Model using UML based on MDA. After converting the Platform-Independent Web Service Model to the dependent model of OWL-S which is a Service Ontology description language, it converts to OWL-S Service Ontology using XMI. This proposed solution has profits, oneis able to be easily constructed the Service Ontology by Service Developers, the other is enable to be created the both service and Service Ontology from one model. Moreover, it can be effective to reduce the time and cost as creating Service Ontology automatically from a model, and calmly dealt with a change of outer environment like as the platform change. This paper cites an instance for the validity of designing Web Service model and creating the Service Ontology, and validates whether the created Service Ontology is valid or not.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.4
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• pp.94-104
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• 2014

This contribution studied knowledges, informations and main project issues for systematic conservation management utilize of Joseon Royal Tombs guaranteeing their Outstanding Universal Value, Authenticity and Integrity, and the outcomes are as follows. The first, regarding the tomb's system, it should be planned to enhance authenticity and integrity of Joseon Royal Tombs through historical facts, measurement, diagnosis and intervention according to international and national charters, statements and general standards. The second, regarding prevention against disasters, the anti-fire system including construction of GIS materials and the Risk Map following investigation the present condition, premising improvement of relevant laws and regulations, should be planned. The third, we should consider, regarding utilize, educational application by the each tomb's story and royal ancestral rite, tourism by the local area of each tomb and industrial application by science and IT technologies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.315-324
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• 2016

The purpose of this study was to present the future directions for strengthening the TLO(Technology licensing office)s' expertise of universities by examining the impact on utilizing the university management experts for patents and technology transfer. To identify the specific effects of dispatching patent management experts, this study was conducted under various conditions, such as the dispatch status, the dispatching duration of patent management experts and the starting year of dispatching them. The data were analyzed by utilizing the data of the KIPSI's supporting program of dispatching the patent management expert to universities and the data of University Information Disclosure site. The data from a total of 110 four-year universities from 2008 to 2013 were used. According to the analysis result, the technology transfer's performance and technology transfer's income of universities of utilizing the patent management experts compared to universities not utilizing them appeared to be high. Technology transfer and technology transfer income appeared to be higher with a longer period of utilizing the patent management expert at university. This suggests that the direction is required to provide the plan for a longer period to maximize the effect of the program "The dispatching a patent management expert". The technology transfer's performance and technology transfer's income did not increase according to the year of dispatched the patent management expert at the university. A comparison of before and after dispatching, the technology transfer performance appeared to be high after dispatch. This suggests that the effects of dispatching the patent management experts at a university can be interpreted as a subsequent effect, rather than an immediate effect. Therefore, it does not simply limit the effectiveness of the dispatch business in the short term, but it needs to activate the technology transfer organization, such as a patent management expert in the long term.