• 유체기계공업학회:학술대회논문집
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• 2000.12a
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• pp.163-168
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• 2000

A method to search the design parameters for optimum stage matching has been used based on a 1-D mathematical model of a compressor, which uses the data obtained from the preliminary test to identify the design parameters. This methodology was applied with a two-stage axial compressor, which was originally designed for a helicopter gas turbine engine. After Identifying design parameters using preliminary test data, an optimization process has been employed to achieve the best matching between the stages (i.e., maximum efficiency of the compressor at its operation modes within a given range of the rotor speed under given restrictions for required stall margins and mass flow). 3-D flow calculations have been performed to confirm the usefulness of the corrections based on 1-D mathematical model. Calculational results agree well with the experimental data in view of the performance characteristics. Some promising results were produced through the methodology proposed in this paper in conjunction with flow calculations.

• Korean Journal of Adult Nursing
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• v.22 no.2
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• pp.161-170
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• 2010

Purpose: The purpose of this study was to develop a Cardiovascular Disease Resilience (CDR) scale to evaluate disease specific resilience for recovery. Methods: The study was conducted as follows: items generation, and test of validity and reliability. Items were developed via literature review, review of instruments, and data acquired from the interviews. In order to test validity and reliability, seven panels of experts reviewed the preliminary questionnaire and then data were collected from 550 cardiovascular disease patients. Factor analysis, Pearson correlation, ANOVA, and Cronbach's alpha were used to analyze the data. Results: In the preliminary stage, forty-four items were generated. A reduction to 40 items was accomplished through content validity analysis. Factor analysis extracted 7 factors with a total of 25 items. The CDR items were moderately correlated with the subscales of the CD-RISC (Connor-Davidson Resilience Scale) and the mean score of CDR was associated with quality of life measured with CD-QOL (Cardiovascular Disease Quality of Life). Cronbach's ${\alpha}$=.84. Conclusion: Content validity, construct validity, criterion validity, and reliability of the CDR were established. The CDR is a reliable and valid instrument which the resilience of cardiovascular disease specific recovery state can be evaluated.

• Korean Journal of Adult Nursing
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• v.14 no.4
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• pp.554-563
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• 2002

Purpose: to develop an instrument to assess the rehabilitation motivation and to test its reliability and validity. Method: The data was collected with in-depth interviews of nine participants that include adults with disabilities acquired after they reached 18 years' of age. The development of the preliminary items was based on the theory of self-determination proposed by Deci & Ryan (1985) and the results from the analysis of the data. After these, appropriate specialists clarified the validity of the contents of the preliminary items twice. A test to reliability and validity was conducted with 186 disabled. A principal axis factor analysis with oblimin rotation was performed on 29 items. Result: Finally 27 items were selected. The 5-factor solution emerged as the most appropriate model for the data. The different types of motivation for rehabilitation were identified as: task-oriented motivation, change-oriented motivation, obligatory motivation, external motivation, and amotivation. The alpha coefficient of internal consistency was .85. Conclusion: The results of this study suggest that the instrument to measure motivation for the rehabilitation of the disabled may be a useful instrument with a high degree of reliability and validity.

• Journal of the Korea Safety Management & Science
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• v.13 no.4
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• pp.263-271
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• 2011

This study aims to develop a diagnostic tool that can measure nine personality types of the enneagram types based on the theoretical content of enneagram to measure personality as a human factor among various factors that affect to performance for maximizing organization and individual's performance. We have develeped measure items to figure out 9 enneagram types. Since first of September of to 30th August 2011, we had a preliminary survey with total 842 students in zed the data. Based on the results of the analysis of preliminary invmiddle and high school and analyestigation, we made a Enneagram Personality Type Inventory for Young People with a total of 144 selected questions. 4,008 middle and high students across the country were surveyed and had statistical analysis with the data. The data shows Cronbach's ${\alpha}$ was from .77 to .86 for the 9 types. This diagnostic tool developed with this study will help students can understand, develop and grow themselves, also this can be useful in coaching and counseling areas like Personality, career, academic, career and leadership development.

• Journal of Korean Academy of Nursing
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• v.37 no.5
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• pp.736-743
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• 2007

Purpose: The purpose of this study was to develop a scale of free nursing home adjustment for the elderly in Korea. Method: The developmental processes were construction of a conceptual framework, development of preliminary items, verification of content validity, twice data gathering, verification of construct validity, and reliability of final items. The first 53 preliminary items were obtained through review of literatures about nursing home adjustment and in depth interviews with 5 staffs of nursing home. These items were reviewed by five specialists for content validity and 39 items were chosen. The first data was collected from 107 elderly residing in 3 nursing homes and the second survey was from 147 residents who were living in five nursing homes. Finally this data was analyzed for construct validity and reliability. Result: There were 23 final items which were sorted into 5 factors. The factors were identified as 'Relocation distress symptom'(8items), 'Making friends'(4items), 'Acceptance of new residence'(6items), 'Difficulty in group life'(3items), and 'Having self-worth'(2items). The cumulative percent of variance was 53.466%. The reliability of the scale, Cronbach's alpha was .837. Conclusion: The result of this study could be used for measuring nursing home adjustment of the elderly. However, for further validity and reliability, repeated researches are needed.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.2
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• pp.79-88
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• 2016

Recently, there is an increasing number of startups in wine business because of the rapid growth of wine consumption. The entrepreneurs need support to prepare infrastructure of wine business. Entrepreneurship is a course of preparing funding, personnel, and technology for preliminary entrepreneurs. In this paper, we implement a wine recommendation application for preliminary entrepreneurs of preparing the wine business as part of the technical support project. The proposed application is to collect accurate data using barcode recognition technology. Finally, proposed application aims the building of the wine knowledge-base through the data analysis by applying efficient algorithms.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1454-1462
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• 2008

This paper is focused on the analysis of the noise and vibration measured near the wheelset of the high-speed trains using a time-varying frequency transform as a preliminary research of running monitoring. Due to the non-stationary characteristics, it is necessary to examine noise and vibration of the train with time-varying frequency transforms. In this paper, the short-time Fourier transform method is utilized - the stored data is localized by modulating with a window function, and Fourier transform is taken to each localized data. For the examination, the non-stationary noise and vibration of the high-speed train's wheelset are measured by using some microphones and accelerometers, and those signals are stored in a on-board data acquisition system. The non-stationary random signal analyses with the short-time Fourier transform are performed, and the result are classified as follows; auto-spectral density, cross-spectral density, frequency response, and coherence functions. From those functions, it is possible to observe the frequency characteristics of sleepers, switchers, tunnels, and steel bridges. Also, some distinct peaks, which are not dependent upon the train's speed, are identified from the results.

• Journal of Information Processing Systems
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• v.15 no.2
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• pp.305-319
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• 2019

The prediction of the sum of container is very important in the field of container transport. Many influencing factors can affect the prediction results. These factors are usually composed of many variables, whose composition is often very complex. In this paper, we use gray relational analysis to set up a proper forecast index system for the prediction of the sum of containers in foreign trade. To address the issue of the low accuracy of the traditional prediction models and the problem of the difficulty of fully considering all the factors and other issues, this paper puts forward a prediction model which is combined with a back-propagation (BP) neural networks and the support vector machine (SVM). First, it gives the prediction with the data normalized by the BP neural network and generates a preliminary forecast data. Second, it employs SVM for the residual correction calculation for the results based on the preliminary data. The results of practical examples show that the overall relative error of the combined prediction model is no more than 1.5%, which is less than the relative error of the single prediction models. It is hoped that the research can provide a useful reference for the prediction of the sum of container and related studies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.66-77
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• 2021

Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.

• Journal of Satellite, Information and Communications
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• v.1 no.2
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• pp.25-31
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• 2006

The COMS (Communication, Ocean, and Meteorological Satellite) performing meteorological and ocean monitoring and providing communication service with meteorological, ocean and Ka-band payload in the geostationary orbit includes MODCS (Meteorological and Ocean Data Communication Subsystem) which provides transmitting the raw data collected by meteorological payload called MI (Meteorological Imager) and ocean payload named GOCI (Geostationary Ocean Color Imager) to the ground station and relaying the meteorological data processed on the ground to the end-user stations. MODCS comprises of two channels: SD channel which formats the raw data according to CCSDS recommendation, amplifies and transmits its signal to the ground station; MPDR channel which relays to the end-user stations the ground-processed meteorological data in the data format of LRIT/HRIT recommended by CGMS. This paper constructs the architecture of MODCS for transmitting and relating the observed data, and investigates that the key performance parameters have the required margin through the preliminary performance analyses.