• Proceedings of the IEEK Conference
• /
• 1999.06a
• /
• pp.773-776
• /
• 1999

For providing good quality power steadily, it is required that operators manipulate the control system of power plant with the good knowledge of power plant system and the control strategies, and cope with accidents effectively. With those requirements, it is general to train operators in power plant control room using full-scope simulator. A full scope simulator adopts the I&C instruments in the main cotrol room, so has to include I/O interface system to interface the simulation computer with I&C instruments in main control room. In already developed simulators, most of I/O interface systems are closed. vendor-dependent. proprietary systems. so have the many disadvantages in terms of cost and maintenance. In this paper. we suggest the method to configure I/O interface system for Thermal Power Plant Simulator based on standard technology which gives the advantages of ease-of-use. cost effectiveness, and simplicity of maintenanceuse by using off-the-shelf products for system integration.

• Journal of the Korean Society for Railway
• /
• v.16 no.4
• /
• pp.272-277
• /
• 2013

Power quality is a term that is now extensively used in power systems applications, and in this context the voltage, current, and phase angle are discussed widely. In particular, different algorithms that are capable of detecting the voltage sag and swell information in a real time environment have been proposed and developed. Voltage sag and swell play an important role in determining the stability, quality, and operation of a power system. This paper presents ANFIS (Adaptive Network based Fuzzy Inference System) models with different membership functions to build the voltage shape with the knowledge of known system parameters, and detect voltage sag and swell accurately. The performance of each method has been compared with each other/other methods to determine the effectiveness of the different models, and the results are presented.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.1 no.1
• /
• pp.9-25
• /
• 1991

This tutorial paper has been written for biologists, physicians or beginners in fuzzy sets theory and applications. This field is introduced in the framework of medical diagnosis problems. The paper describes and illustrates with practical examples, a general methodology of special interest in the processing of borderline cases, that allows a graded assignment of diagnoses to patients. A pattern of medical knowledge consists of a tableau with linguistic entries or of fuzzy propositions. Relationships between symptoms and diagnoses are interpreted as labels of fuzzy sets. It is shown how possibility measures (soft matching) can be used and combined to derive diagnoses after measurements on collected data. The concepts and methods are illustrated in a biomedical application on inflammatory protein variations. In the case of poor diagnostic classifications, it is introduced appropriate ponderations, acting on the characterizations of proteins, in order to decrease their relative influence. As a consequence, when pattern matching is achieved, the final ranking of inflammatory syndromes assigned to a given patient might change to better fit the actual classification. Defuzzification of results (i.e. diagnostic groups assigned to patients) is performed as a non fuzzy sets partition issued from a "separating power", and not as the center of gravity method commonly employed in fuzzy control. It is then introduced a model of fuzzy connectionist expert system, in which an artificial neural network is designed to build the knowledge base of an expert system, from training examples (this model can also be used for specifications of rules in fuzzy logic control). Two types of weights are associated with the connections: primary linguistic weights, interpreted as labels of fuzzy sets, and secondary numerical weights. Cell activation is computed through MIN-MAX fuzzy equations of the weights. Learning consists in finding the (numerical) weights and the network topology. This feed forward network is described and illustrated in the same biomedical domain as in the first part.

• School Mathematics
• /
• v.18 no.3
• /
• pp.503-526
• /
• 2016

The study aimed at determining the identity of mathematics essay test in the university entrance examination. For this purpose, a document research was conducted for higher order thinking and mathematics essay ability and it analyzed the goal of assessment and the tendency of problem settings and looked into mathematics essay problems of twenty-five universities. As a result, the study found out that evaluation factors of mathematics essay test requires higher order thinking ability including mathematical knowledge and essay ability such as mathematical knowledge, understanding, problem solving, logical and critical thinking, creative ability, power of expression, argument skills. Also, problems from previous mathematics essay tests were set mainly to assess mathematical knowledge, understanding and problem solving. Based on the findings, the past mathematics essay tests in university entrance examination in Korea that require logical and critical thinking, creative ability, power of expression, argument skills were a rather small percentage of questions.

• Journal of East-West Nursing Research
• /
• v.27 no.1
• /
• pp.70-77
• /
• 2021

Purpose: The purposes of this study are to examine the relationship between sexual knowledge and sexual attitudes and identify factors that influence sexual attitudes among Mongolian university students. Methods: A cross-sectional study was used. Participants include 200 students from 23 universities in U city in Mongolia. Data were collected from 1 December to 30 December of 2019. A self-report questionnaire through Google survey was used. Data were analysed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and multiple regression analyse with SPSS 26.0 for Window Program. Results: We found the differences between sexual knowledge and sexual attitudes according to participants' general characteristics, sex education, and sexual knowledge (t=5.43, p<.001) and sexual attitudes (t=2.21, p=.028), sexual experience and sexual knowledge. There was no correlation with marriage thought among sexual knowledge, sexual health and pregnancy and childbirth, and sexual attitudes. The correlations between the remaining variables were high. Sexual knowledge was the most influential factor on sexual attitudes followed by the sexual act (β=.30, p<.001), reproductive organs (β=.29, p<.001), solving sexual desire (β=-.25, p<.001), sexual experience (β=-.16, p=.021), and sex education (β=-.16, p=.028) with an explanatory power of 20.0%. Conclusion: The findings of this study may provide a basic data and help to understanding of sexual attitudes among Mongolia university students.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.11
• /
• pp.348-360
• /
• 2019

This study examined the influence of humanistic knowledge and occupational stress on the professional quality of life of clinical nurses. The data from 217 survey questionnaires collected from three general hospitals located in a metropolitan area from Jun 3 to 14, 2019 were used. The data were analyzed using a t-test, ANOVA, Scheffè test, Pearson's Correlation Coefficient, and Stepwise multiple regression with SPSS Statistics 23.0 program. The findings revealed a positive correlation between compassion satisfaction and humanistic knowledge and a negative correlation with Burnout. Burnout had a negative correlation with humanistic knowledge and a positive correlation with occupational stress and secondary traumatic stress. Secondary traumatic stress showed a positive correlation with occupational stress. Burnout, satisfaction for nursing, and working period were significant variables of the compassion satisfaction with an explanatory power of 48.5%. Compassion satisfaction, secondary traumatic stress, satisfaction for nursing, marriage, and occupational stress were significant variables of burnout with an explanatory power of 68.8%. Burnout and income were significant variables of secondary traumatic stress with an explanatory power of 21.9%. Burnout was found to be a significant variable of not only compassion satisfaction, but also compassion satisfaction. Therefore, efforts are needed to make efforts to prevent burnout.

• Korean Journal of Community Nutrition
• /
• v.26 no.6
• /
• pp.455-466
• /
• 2021

Objectives: The purpose of this study was to investigate the effects of internal and external capacity on the practical capacity for food waste disposal in adults. Methods: The study subjects were 410 adults who answered a structured questionnaire. The survey was conducted in January 2021. Data were analyzed through descriprive analysis, t-test, ANOVA, and multiple regression analysis using the SPSS Win 24.0. Results: First, in the analysis of internal capacity, attitude (3.95 out of 5 points) scored higher than knowledge (3.59 points). Attitudes showed significant differences according to gender (P < 0.001), age (P < 0.001), and income (P < 0.001). Knowledge showed significant differences according to gender (P < 0.01) and age (P < 0.05). Second, in the analysis of capacity, market constraints (3.73 points) scored the highest, followed by institutional conditions (3.48 points) and reference group (3.36 points). Market constraints differed according to gender (P < 0.001), and institutional conditions differed according to income (P < 0.001). There was a significant difference in the reference group according to the level of education (P < 0.05) and income (P < 0.05). Third, the practical capacity scores appeared in the order of separating discharge behavior, using behavior, purchasing behavior, and leadership behavior. Separating discharge behavior showed significant differences according to gender (P < 0.001), education level (P < 0.05), and income (P < 0.01). Using behavior showed a difference according to gender (P < 0.01), and purchasing behavior showed a significant difference according to income (P < 0.05). Leadership behavior showed no difference according to demographic factors. Fourth, internal capacity and external capacity showed a significant positive relationship with practical capacity. Factors affecting purchasing behavior were knowledge, attitude, institutional conditions, and reference group, and their explanatory power was 53%. Factors influencing using behavior were knowledge, attitude, institutional conditions, and reference group, and had an explanatory power of 37%. Leadership behavior was influenced by institutional conditions and the reference group, with an explanatory power of 31%. Conclusions: Internal capacity, external capacity, and practical capacity show differences according to demographic factors. Factors influencing the practical capacity of adults were knowledge, attitude, institutional conditions, and reference group.

• Knowledge Management Research
• /
• v.24 no.2
• /
• pp.65-85
• /
• 2023

This paper investigates how TMT's cognitive traits affect R&D investment. Drawing on the attention-based view, we propose that TMT's future orientation and risk preference increase the level of R&D investment. As R&D activities have long-term goal of generating proprietary knowledge, it is important to understand how TMT's attention toward future and risk affect R&D investment. Also, we test the moderating effect of CEO duality on R&D investment. As the CEO plays a leadership role in the TMT, if the CEO's decision-making authority is highly concentrated, the impact of TMT on R&D may decrease. We measure CEO duality and CEO ownership stake as CEO characteristics. Based on a sample of 837 U.S. manufacturing firms, the results show that when TMT has a higher tolerance for risk and higher future orientation, R&D intensity increases. However, when CEO also serves as chairman of board and CEO has higher ownership, TMT's influence on R&D investment weakens. This implies that TMT and CEO has power dynamic that can change based on CEO power supporting status. Overall, it suggests that TMT's attention and CEO power are important factors to improve longer-term knowledge accumulation of firm.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.14 no.9
• /
• pp.944-949
• /
• 2003

In this paper, the double balance mixer(DBM) for Ku-band LNB using InGaP/GaAs HBT process is suggested for the characteristics of low DC power consumption, low noise figure, low intermodulation distortion and wide dynamic range. The 5 dB conversion gain, 14 dB NF, bandwidth 17.9 GHz and 50.34 dBc IMD are obtained under RF input power of -23 dBm, with bias condition as 3 V and 16 mA. The linearity of InGaP/GaAs HBT, the broad band input matching scheme and the optimization of bias point result in the low IMD, the broad bandwidth and the low power consumption characteristics.

• The Journal of Korean Society for School & Community Health Education
• /
• v.10 no.2
• /
• pp.15-27
• /
• 2009

Background and Goals: This study set out to apply the Theory of Planned Behavior (TPB), which is known to provide good explanations about human behavior, and test it to see if it could predict safety behavior by affecting the intention for safety behavior and perceived behavioral control and if intention for safety behavior would be influenced by attitude toward behavior, subjective norm, and perceived behavioral control. Methods: The subjects were 98 dental technology majors in D City. The questionnaires were distributed, filled out and collected on the spot. Each item was measured on a seven-point scale, and it's interpreted that the higher mean of each item would translate into safety behavior. Results: The analysis results of the Theory of Reasoned Action (TRA) variables indicate that only subjective norm ($\beta$ = .528, p < .000) had explanatory power of 27.2% (F = 37.170, P <.001) for intention for safety behavior. The results show that subjective norm and attitude toward behavior affect intention for safety behavior. The analysis results of the TPB variables revealed that intention for safety behavior had explanatory power of 26.6% (F = 36.072, p <.000) for behavior. When intention was added by perceived behavioral control, the explanatory power increased to 34.5% (F = 26.530, p <.000). And when it's added by knowledge, the explanatory power increased to 39.0% (F =21.661, p <.000). The results suggest that intention has the biggest influence on predicting safety behavior. Conclusion: The results show that the TPB model by Ajzen (1985) has greater forecasting power for intention and act of safety behavior than the TRA model by Fishbein & Ajzen (1980) and the TPB model can applied in the prediction of safety behavior. Thus safety behavior is considered as behavior whose determination control is limited. And safety education programs that add knowledge to the TPB variables will help the students promote their safety behavior.