• Korean Journal of Acupuncture
• /
• v.30 no.1
• /
• pp.27-36
• /
• 2013

Objectives : The focus of the analysis was laid on changes in research pertaining to bee venom in regards to time progression. Methods : We collected 365 articles on Bee venom study result from OASIS system using the Keyword 'bee venom, apitoxin, apitherapy, bee sting'. We figured out number and percentage of theses according to year, study method, journal, subject. Results : Bee venom papers published in the journal of korean medicine from 1976. The classification of papers associated with bee venom, clinical studies outnumbered the other study types by a ratio of 1.3 to 1, followed by 138 for experimental papers, and 22 for literature studies. Proportion of Experimental Papers Classified According to the Theme, 16 for pain-killing, 14 papers concentrated on apoptosis anticancer, 13 for anti inflammatory, 11 for arthritis, and other disorders were followed. Type analysis of papers associated with bee venom in clinical trials, lumbar disorders comprised 38 out of 205 papers, 35 papers concentrated on upper limb disorders, 34 papers concentrated on systemic disease, followed by the effect on body. Conclusions : Bee venom is a treatment method based on the unique theory of Korean traditional medicine. Its effort and academical approach on bee venom are expected to receive positive evaluation through numerous research works.

• Journal of the Society of Naval Architects of Korea
• /
• v.42 no.3
• /
• pp.259-267
• /
• 2005

The effects of hull flexibility on shaft alignment are growing as ship sizes are increased mainly for container carrier and LNG carrier. In order to consider hull flexibility on a propulsion shafting system, standardization of ship service conditions is necessary because hull deformation is continuously variable according to ship service conditions. How to summarize ship service conditions is suggested based on practically applicable four viewpoints : hull, engine, loading and sea status. Effects of the external forces acting on a ship propulsion shafting system are generally commented. Several design criteria regulated by classification societies are pointed at issue which seems to have Insufficient technical background. A qualitative verification is carried out to point out the invalidity of the assumption of effective supporting position. In this work, an elastic nonlinear multi-supporting bearing system is introduced as a key concept of the elastic shaft alignment. Hertz contact theory is proved to be more proper one than projected area method in calculation of the nonlinear elastic stiffness of the bearing, The squeezing and oil film pressure calculations in the long journal bearing like an after stern tube bearing are recognized as a necessary process for elastic shaft alignment design.

• Journal of Digital Convergence
• /
• v.12 no.5
• /
• pp.57-68
• /
• 2014

This article analyses frame transition of personal information leakage in Korea from 1984 to 2014. In order to investigate the transition, we have collected newspaper article's titles. This study adopts classification, text network analysis(by co-occurrence symmetric matrix), and clustering techniques as part of social network analysis. Moreover, we apply definition of centrality in network in order to reveal the main frame formed in each of four periods. As a result, accessibility of personal information is extended from public sector to private sector. The boundary of personal information leakage is expanded to overseas. Therefore it is urgent to institutionalize the protection of personal information from a global perspective.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.19 no.2
• /
• pp.191-196
• /
• 2009

In this paper, we proposed a feature selection method using Binary Particle Swarm Optimization(BPSO) and Mutual information. This proposed method consists of the feature selection part for selecting candidate feature subset by mutual information and the optimal feature selection part for choosing optimal feature subset by BPSO in the candidate feature subsets. In the candidate feature selection part, we computed the mutual information of all features, respectively and selected a candidate feature subset by the ranking of mutual information. In the optimal feature selection part, optimal feature subset can be found by BPSO in the candidate feature subset. In the BPSO process, we used multi-object function to optimize both accuracy of classifier and selected feature subset size. DNA expression dataset are used for estimating the performance of the proposed method. Experimental results show that this method can achieve better performance for pattern recognition problems than conventional ones.

• Journal of the Korean Chemical Society
• /
• v.53 no.6
• /
• pp.784-792
• /
• 2009

In this study, we investigated the unsuitable cases for the hierarchy of the curriculum in science 'teaching-learning lesson plan' which is on the web site of the each city's support center for teaching and learning and Seoul Science Park with a purpose of giving helpful data for science teachers at lessons. The investigation is limited to 'Three states of matter' unit for the 7th grade and the content elements used at analysis was the "state changes of matter", "molecule" and "molecular model". The case found for unsuitable case for the hierarchy of the curriculum was phase equilibrium, ice crystal theory, peculiar property of water, classification of solid, thermal energy and physical change at the "state changes of matter". While the "molecular model" showed molecular motion and density. On the other hand, no case was found at "molecule".

• Industry Promotion Research
• /
• v.2 no.2
• /
• pp.45-52
• /
• 2017

this study, the problem of the quality is analyzed by questionnaire analysis of the current quality managers, and the German meister system, the Japanese name deduction system, the functional manager, and the quality manager system. First, we set up a quality guide selection classification guide model. Secondly, we set up a model for combining experience and expertise with theory. Third, we set up a quality brand application model to enhance competitiveness of SMEs. Fourth, The basic model is presented. The expected effects of these models are that, in the knowledge-based economy, in terms of identifying, fostering, and utilizing superior talents, quality experts combine academic theories and experience in each field to provide core expertise and knowledge, As a transformative leader and expert, we will become a leader of innovation activities by enhancing corporate competitiveness, developing younger leaders, and cooperating with suppliers. In order to strengthen competitiveness of SMEs, It will be possible to scale and cultivate the technology of SMEs.

• Journal of Biomedical Engineering Research
• /
• v.32 no.2
• /
• pp.134-143
• /
• 2011

The selection of meaningful clinical tests and its reference values from a high-dimensional clinical data with imbalanced class distribution, one class is represented by a large number of examples while the other is represented by only a few, is an important issue for differential diagnosis between similar diseases, but difficult. For this purpose, this study introduces methods based on the concepts of both discernibility matrix and function in rough set theory (RST) with two discretization approaches, equal width and frequency discretization. Here these discretization approaches are used to define the reference values for clinical tests, and the discernibility matrix and function are used to extract a subset of significant clinical tests from the translated nominal attribute values. To show its applicability in the differential diagnosis problem, we have applied it to extract the significant clinical tests and its reference values between normal (N = 351) and abnormal group (N = 101) with either cholecystitis or cholelithiasis disease. In addition, we investigated not only the selected significant clinical tests and the variations of its reference values, but also the average predictive accuracies on four evaluation criteria, i.e., accuracy, sensitivity, specificity, and geometric mean, during l0-fold cross validation. From the experimental results, we confirmed that two discretization approaches based rough set approximation methods with relative frequency give better results than those with absolute frequency, in the evaluation criteria (i.e., average geometric mean). Thus it shows that the prediction model using relative frequency can be used effectively in classification and prediction problems of the clinical data with imbalanced class distribution.

• Journal of Intelligence and Information Systems
• /
• v.11 no.2
• /
• pp.47-57
• /
• 2005

In this research, the main theme is the system integration of driving simulator and unmanned vehicle. The total system is composed of the mater system and the slave system. The master system has a cockpit system and the driving simulator. The slave system means an unmanned vehicle, which is composed of the actuator system the sensory system and the vision system. The communication system is composed of RS-232C serial communication system which combines the master system with the slave system. To integrate both systems, the signal classification and system characteristics considered DSP(Digital Signal Processing) filter is designed with signal sampling and measurement theory. In addition, to simulate the motion of tele-operated unmanned vehicle on the driving simulator, the classical washout algorithm is applied to this filter, because the unmanned vehicle does not have a limited working space, while the driving simulator has a narrow working space and it is difficult to cover all the motion of the unmanned vehicle. Because the classical washout algorithm has a defect of fixed high pass later, fuzzy logic is applied to reimburse it through an adaptive filter and scale factor for realistic motion generation on the driving simulator.

• Asia pacific journal of information systems
• /
• v.9 no.4
• /
• pp.23-40
• /
• 1999

This paper proposes a hybrid intelligent system that predicts the failure of firms based on the past financial performance data, combining neural network and rough set approach, We can get reduced information table, which implies that the number of evaluation criteria such as financial ratios and qualitative variables and objects (i.e., firms) is reduced with no information loss through rough set approach. And then, this reduced information is used to develop classification rules and train neural network to infer appropriate parameters. Through the reduction of information table, it is expected that the performance of the neural network improve. The rules developed by rough sets show the best prediction accuracy if a case does match any of the rules. The rationale of our hybrid system is using rules developed by rough sets for an object that matches any of the rules and neural network for one that does not match any of them. The effectiveness of our methodology was verified by experiments comparing traditional discriminant analysis and neural network approach with our hybrid approach. For the experiment, the financial data of 2,400 Korean firms during the period 1994-1996 were selected, and for the validation, k-fold validation was used.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.5
• /
• pp.2313-2326
• /
• 2018

The method of operating a game could determine the psychological distance between the player and the game character, and thus, in the Virtual Reality, players' control methodologies are important to enhance their immersion. This study has the objective of examining the difference in games according to the method of operation based on the player's movements. This study researched the effect of the method of operating movement conforming to the movement of the character and the physical operation of the body on forming game experiences for the player. The result of performing an experiment increased reality for the game player through a controller in the shape of the actual control, to increase focus in the game. As so, game play through movements, including actual movements by the player displayed to enhance game satisfaction. In the part of media remediation field, Game can be defined as media which has their own unique hypermediacy. Especially, in the motion based game, players' movement mediates players and the game, therefore, players' movement could make players' experience augmented or immediate in accordance with the characteristics of movements. Even though sports and dances genres of motion-based games are common, RPG or adventure genres are rare. It can be explained that the characteristics of the action have been explained in the immediacy. In a game of fantasy, which is difficult to experience in real-life situations, the nature of the player's motion can increase the immersion of the game, which can contribute to utilization of players' motion and experience design in the various genres and suggestion of grounds theory. In addition, through this study, it is able to design motion-based games of various genres.