• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.2
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• pp.207-217
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• 1993

The purposes of this study were to identify the components of store image of women's clothing and to explain the relationships between store images and selection behaviors. Data were obtained from 330 females who college women and office girls in Busan. Its were analyzed by factor analysis, cannonical correlation, regression analysis and discriminant analysis. The results of this study were as follows ; 1. Dimensions of the clothing lifestyle were classified individuality-seeking, information-seeking, comfort-seeking and quality-seeking. 2. Store image factors of women's clothing were identified quality, design, information service, atmosphere and convenience. The types of preference store were the general public store, the public high class store and general obscure store. 3. It appears that designs is the factors to make store image of individuality-seeking, information-seeking and comfort-seeking and information service is the one to make store image of quality-seeking. Also they were usually purchased in the general public store by individality-seeking consumers and comfort-seeking consumers and purchased in the public high class store by information-seeking consumers and quality-seeking consumers. The store images, espacially the information service image, was contributed to the store selection behaviovs more than lifestyle. But lifestyle, espacially the comfort-seeking consumers, was contributed to the store behavior of the three types of store more than store image.

• Journal of Korean Academy of Nursing
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• v.34 no.6
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• pp.934-944
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• 2004

Purpose: This meta-analysis was conducted to evaluate the effects of a self-efficacy promoting program and analyze its components. Method: The material used for this study were 18 self-efficacy promoting program studies carried out from Jan. 1980 to Oct. 2003. The studies were analyzed in differen categories: 1) types of dependent variables 2) sample characteristics 3) types of experimental treatment conditions 4) types of self-efficacy source and 5) total amount of time Result: 1) The weighted mean of a self-efficacy promoting program ranged from 1.383 to 0.015 2) for the experimental treatment condition, exercise had a much larger effect in increasing general self-efficacy and self-care than education 3) the studies using 3 sources had a much larger effect in increasing self-care than the studies using 4 sources 4) a time period longer than 900 minutes had a much larger effect in increasing specific self-efficacy, general self-efficacy and self-care than in a time period shorter than 900 minutes. 5) effect size of specific self-efficacy was significantly higher than general self-efficacy. Conclusion: These results can be used to guide the development of a self-efficacy promoting program for nursing practice.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.71-95
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• 2016

In recent years, text mining has been used to extract meaningful insights from the large volume of unstructured text data sets of various domains. As one of the most representative text mining applications, topic modeling has been widely used to extract main topics in the form of a set of keywords extracted from a large collection of documents. In general, topic modeling is performed according to the weighted frequency of words in a document corpus. However, general topic modeling cannot discover the relation between documents if the documents share only a few terms, although the documents are in fact strongly related from a particular perspective. For instance, a document about "sexual offense" and another document about "silver industry for aged persons" might not be classified into the same topic because they may not share many key terms. However, these two documents can be strongly related from the R&D perspective because some technologies, such as "RF Tag," "CCTV," and "Heart Rate Sensor," are core components of both "sexual offense" and "silver industry." Thus, in this study, we attempted to discover the differences between the results of general topic modeling and R&D perspective topic modeling. Furthermore, we package social issues from the R&D perspective and present a prototype system, which provides a package of news articles for each R&D issue. Finally, we analyze the quality of R&D perspective topic modeling and provide the results of inter- and intra-topic analysis.

• Journal of Korean Clinical Nursing Research
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• v.14 no.1
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• pp.139-150
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• 2008

Purpose: The aim of this study was to develop instrument measuring the relocation stress syndrome for patients transferred from intensive care unit to general ward in Korea. Method: For item construction, components were drawn from an extensive review of the literature, existing instruments and the result of qualitative approach. A total 48 items were selected for the first draft. Ten experts evaluated this instrument for content validity and the number of items was reduced to 29. To refine and test reliability and validity of the instrument, data were collected from the 594 patients following transfer from intensive care unit. Results: Preliminarily twenty-nine items were generated through content validity and a pilot study. Using corrected items to total correlation coefficient, this instrument was further shortened to a 25 item scale. Factor analysis extracted a total of 23 items with a 5-point Likert-type scale. Relocation Stress Syndrome (RSS) included three subscales; physical factors (12 items), Patient's recognition to health care providers (8 items), and emotional factors (3 items). The RSS established content validity, construct validity, and reliability. Conclusion: This instrument demonstrates good reliability and validity, and therefore it is an appropriate measurement of assessing relocation stress syndrome in ICU to ward transition period.

• Journal of information and communication convergence engineering
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• v.11 no.2
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• pp.95-102
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• 2013

This paper presents a stochastic driver behavior modeling framework which takes into account both individual and general driving characteristics as one aggregate model. Patterns of individual driving styles are modeled using a Dirichlet process mixture model, as a non-parametric Bayesian approach which automatically selects the optimal number of model components to fit sparse observations of each particular driver's behavior. In addition, general or background driving patterns are also captured with a Gaussian mixture model using a reasonably large amount of development data from several drivers. By combining both probability distributions, the aggregate driver-dependent model can better emphasize driving characteristics of each particular driver, while also backing off to exploit general driving behavior in cases of unseen/unmatched parameter spaces from individual training observations. The proposed driver behavior model was employed to anticipate pedal operation behavior during car-following maneuvers involving several drivers on the road. The experimental results showed advantages of the combined model over the model adaptation approach.

• Nuclear Engineering and Technology
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• v.51 no.6
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• pp.1616-1625
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• 2019

Measuring occurrence times of random events, aimed to determine the statistical properties of the governing stochastic process, is a basic topic in science and engineering, and has been the subject of numerous mathematical modeling approaches. Often, true statistical properties deviate from measured properties due to the so called dead time phenomenon, where for a certain time period following detection, the detection system is not operational. Understanding the dead time effect is especially important in radiation measurements, often characterized by high count rates and a non-reducible detector dead time (originating in the physics of particle detection). The effect of dead time can be interpreted as a suitable rarefied sequence of the original time sequence. This paper provides a limit theorem for a high rate (diffusion-scale) counter with extendable (Type II) dead time, where the underlying counting process is a renewal process with finite second moment for the inter-event distribution. The results are very general, in the sense that they refer to a general inter arrival time and a random dead time with general distribution. Following the theoretical results, we will demonstrate the applicability of the results in three applications: serially connected components, multiplicity counting and measurements of aerosol spatial distribution.

• Nuclear Engineering and Technology
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• v.51 no.2
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• pp.444-452
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• 2019

To assess the availability of a nuclear power plant's dynamic systems, it is necessary to consider the impact of dynamic interactions, such as components, software, and operating processes. However, there is currently no simple, easy-to-use tool for assessing the availability of these dynamic systems. The existing method, such as Markov chains, derives an accurate solution but has difficulty in modeling the system. When using conventional fault trees, the reliability of a system with dynamic characteristics cannot be evaluated accurately because the fault trees consider reliability of a specific operating configuration of the system. The dynamic reliability graph with general gates (DRGGG) allows an intuitive modeling similar to the actual system configuration, which can reduce the human errors that can occur during modeling of the target system. However, because the current DRGGG is able to evaluate the dynamic system in terms of only reliability without repair, a new evaluation method that can calculate the availability of the dynamic system with repair is proposed through this study. The proposed method extends the DRGGG by adding the repair condition to the dynamic gates. As a result of comparing the proposed method with Markov chains regarding a simple verification model, it is confirmed that the quantified value converges to the solution.

• Journal of The Korea Institute of Healthcare Architecture
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• v.30 no.2
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• pp.23-34
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• 2024

Purpose: The Hybrid care environment, combining interventional procedures and surgeries in one space, is crucial for managing complex diseases, responding to emergencies, and reducing recovery times and pain. This study provides foundational data for creating architectural guidelines for a Hybrid Operating Unit in a general hospital's surgical department, focusing on cardiovascular care. Methods: The study analyzed the spatial and configuration types of the Vascular Angiography Unit and the Cardiac Operating Unit, which are the basic components of the Hybrid Operating Unit, through a literature review. Based on the initial research findings, interviews with experts were conducted. Results: In the Hybrid Operating Process, the study proposed spatial configuration alternatives that consider the positioning of medical staff and the types and arrangement changes of equipment, including Angiography, Heart-lung machines, and other surgical tools and instruments. Implications: The integration of the two units leads to increased diversity and demand for medical staff, equipment, and supplies during surgical and interventional procedures. Therefore, strategic spatial configurations and equipment placement are necessary to effectively respond to these needs.

• Journal of Trauma and Injury
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• v.37 no.1
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• pp.89-96
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• 2024

The indications for total hip replacement are increasing and not limited to osteoarthritis. Total hip replacement may also be done for trauma and pathological fractures in patients otherwise physiologically fit and active. This trend has led to an inevitable rise in complications such as periprosthetic femoral fracture. Periprosthetic femoral fracture can be challenging due to poor bone quality, osteoporosis, and stress fractures. We present a case of periprosthetic femoral fracture in a 71-year-old woman with some components of an atypical femoral fracture. The fracture was internally fixed but was subsequently complicated by infection, implant failure needing revision, and later stress fracture. She was on a bisphosphonate after her index total hip replacement surgery for an impending pathological left proximal femur fracture, and this may have caused the later stress fracture. Unfortunately, she then experienced implant breakage (nonunion), which was treated with a biplanar locking plate and bone grafting. The patient finally regained her premorbid mobility 13 months after the last surgery and progressed satisfactorily towards bony union.

• Journal of The Korea Institute of Healthcare Architecture
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• v.30 no.3
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• pp.35-44
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• 2024

Purpose: The purpose of this study is to present basic data on installation location, functional connection, and arrangement to be considered when planning a neonatal intensive care unit in a certified tertiary general hospital. Method: Review the facility standards related to the neonatal intensive care unit, such as laws and guidelines, and select a Certified Tertiary General Hospital as a case hospital among the Neonatal Intensive Care Regional Centers designated by the Ministry of Health and Welfare to analyze the placement characteristics of major NICU components such as the location of the NICU installation, the connection of movement between adjacent facilities and functions, and the treatment room and accessory room. Results and Implications: NICU is a facility for critically ill babies among newborns and needs to consider more about infection and patient management compared to adult intensive care units, which not only install close to delivery-related facilities to enable immediate action after childbirth, but also divide the treatment room into open rooms and allow access to the attached rooms through dedicated corridors to minimize movement in the treatment room.