• Journal of the Korean Crystal Growth and Crystal Technology
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• v.32 no.1
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• pp.7-11
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• 2022

Recently, Hanmi Gemological Institute & Laboratory (HGI) had an opportunity to examine 5 transparent synthetic moissanite. The round brilliants ranged from 0.93 to 0.96 ct and had a colorless, pink, yellow, blue, and red color. Advanced testing results, including Fourier-transform infrared (FTIR) and Raman spectroscopy, identified all the specimens as synthetic moissanite. Under the microscope, all samples except the colorless were confirmed to be a synthetic moissanite coated with a colored film. EDXRF chemical analysis detected very weak X-ray fluorescence peak characteristics of Ca, Ti, and Co in the colored samples. These features were not detected in the colorless sample. Raman spectroscopy investigation was unable to detect the 1332 cm^-1 (produced by sp³ bonding of carbon atoms) or the ~1550 cm^-1 (produced by graphite-related sp² bonding) peak in the colorless sample. The SEM image of the colorless sample showed no indication of a coating. The TEM image of the colorless sample revealed the presence of a 3~8 nm thick layer on the moissanite. Moreover, from the corresponding STEM Z-contrast image combined with the energy-dispersive X-ray spectroscopy (EDX) line profiles and EDX elemental maps, this layer was estimated to be carbon, silicon and oxygen.

• Geophysics and Geophysical Exploration
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• v.2 no.1
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• pp.26-32
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• 1999

Among the various seismic data processing sequences, the velocity analysis is the most time consuming and man-hour intensive processing steps. For the production seismic data processing, a good velocity analysis tool as well as the high performance computer is required. The tool must give fast and accurate velocity analysis. There are two different approches in the velocity analysis, batch and interactive. In the batch processing, a velocity plot is made at every analysis point. Generally, the plot consisted of a semblance contour, super gather, and a stack pannel. The interpreter chooses the velocity function by analyzing the velocity plot. The technique is highly dependent on the interpreters skill and requires human efforts. As the high speed graphic workstations are becoming more popular, various interactive velocity analysis programs are developed. Although, the programs enabled faster picking of the velocity nodes using mouse, the main improvement of these programs is simply the replacement of the paper plot by the graphic screen. The velocity spectrum is highly sensitive to the presence of the noise, especially the coherent noise often found in the shallow region of the marine seismic data. For the accurate velocity analysis, these noise must be removed before the spectrum is computed. Also, the velocity analysis must be carried out by carefully choosing the location of the analysis point and accuarate computation of the spectrum. The analyzed velocity function must be verified by the mute and stack, and the sequence must be repeated most time. Therefore an iterative, interactive, and unified velocity analysis tool is highly required. An interactive velocity analysis program, xva(X-Window based Velocity Analysis) was invented. The program handles all processes required in the velocity analysis such as composing the super gather, computing the velocity spectrum, NMO correction, mute, and stack. Most of the parameter changes give the final stack via a few mouse clicks thereby enabling the iterative and interactive processing. A simple trace indexing scheme is introduced and a program to nike the index of the Geobit seismic disk file was invented. The index is used to reference the original input, i.e., CDP sort, directly A transformation techinique of the mute function between the T-X domain and NMOC domain is introduced and adopted to the program. The result of the transform is simliar to the remove-NMO technique in suppressing the shallow noise such as direct wave and refracted wave. However, it has two improvements, i.e., no interpolation error and very high speed computing time. By the introduction of the technique, the mute times can be easily designed from the NMOC domain and applied to the super gather in the T-X domain, thereby producing more accurate velocity spectrum interactively. The xva program consists of 28 files, 12,029 lines, 34,990 words and 304,073 characters. The program references Geobit utility libraries and can be installed under Geobit preinstalled environment. The program runs on X-Window/Motif environment. The program menu is designed according to the Motif style guide. A brief usage of the program has been discussed. The program allows fast and accurate seismic velocity analysis, which is necessary computing the AVO (Amplitude Versus Offset) based DHI (Direct Hydrocarn Indicator), and making the high quality seismic sections.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.339-342
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• 2009

본 연구는 대한민국건강도시협의회 회원도시 23개 자치단체 건강도시 추진 담당자에게 건강도시 추진현황 및 발전방향을 모색하기 위해 2007년 2월부터 2007년 12월 까지 대한민국건강도시협의회 회원 도시 담당자들에게 구조화된 설문지를 통해 건강도시 사업 일반현황, 건강도시 사업 기본현황, 건강도시 발전방향 등에 대하여 조사 분석 하였으며 모든 처리 방법은 SPSS 12.0 version 통계프로그램을 이용하였다. 본 연구의 결과는 다음과 같다. 1. 연구대상자의 지자체 일반현황은 23개자치단체중 도시형(47.8%), 농촌형(52.2%)이며, 가입년도별로는2004년(17.4%), 2005년(30.4%), 2006년(26.1%), 2007년(26.1%)로 나타났다. 2. 건강도시 사업추진현황을 보면, 장기계획수립(43.4%), 생활터접근(69.5%), 민정보제공(78.2%), 협력대학(82.6%), 부서협력잘됨(34.7%), 네트워크적극참여(34.7%), 세미나실시(47.8%)로 나타났다. 3. 건강도시 발전방향 으로는 추진 시 가장 어려운 점은 사업개발(39.0%), 우선순위로는 부서협력(30.4%), 핵심인물단체장(82.6%), 발전가능성지속발전(65.2%), 발전기여(86.9%), 시행주체국가주도(52.1%)로 나타났다. 4. 도시형태별 건강친화성 평가점수는 69점이하 도시형(8.60%), 70~79점농촌형(21.7%), 80~89점 도시형(26.0%), 농촌형(17.3%), 90정이상 도시형(13.0%), 농촌형(13.0%)로 나타났다. 5. 조직구성여부별 건강도시 기본현황 추진실태를 살펴보면, 조례제정여부 조직구성(100%), 미 구성(81.8%), 운영위원회 구성 조직구성(100%), 미 구성(54.5%), 프로파일작성 조직구성(100%), 미 구성(81.8%), 예산확보 조직구성(100%), 미 구성(81.8%)로 나타났다. 조직구성이 건강도시 사업추진에 많은 영향을 미치는 것으로 분석된다. 향후 건강도시 사업추진 시에는 건강도시를 추진하는 담당부서 구성이 가장 중요한 것으로 판단되며, 건강도시 사업추진은 먼저 시작한 도시가 건강친화성 평가 점수에서 높게 나타났다. 이에 따라 건강도시 사업은 일시적인 사업이 아닌 끊임없이 노력하는 도시가 되어야 하며, 건강도시 사업의 활성화를 위해서는 국가주도하에 실시하는 것이 절실히 필요 한 것으로 판단된다.

• Journal of Family Resource Management and Policy Review
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• v.26 no.2
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• pp.19-36
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• 2022

The purpose of this study was (a) to identify latent profiles among employed Korean mothers of third graders based on work-family conflict, work-family enrichment, work-parenting conflict, and work-parenting enrichment, (b) to examine the antecedents of profile membership at the individual, family, work, and community levels, and (c) to investigate the differences in the various psychological outcomes across the profiles. The sample of 451 married employed mothers was a subset of data from the 10th Wave of the Panel Study of Korean Children, which was collected in 2017 when the focal child was in the third grade. Our latent profile analysis suggested a three-profile model that comprised enriched (11.91%), moderate (47.85%), and mixed (40.24%) profiles. The significant antecedents of profile membership were subjective health status, the child's adjustment to school, working hours, the community's suitability for childrearing, and satisfaction with community service facilities. Regarding psychological outcomes, the levels of life satisfaction, marital satisfaction, and job satisfaction were higher in the following order: enriched, moderate, and mixed profiles. The levels of depressive symptoms were in the reverse order: mixed, moderate, and enriched profiles. This study contributes to a comprehensive understanding of the literature on work-family interactions by considering various predictors and outcomes at multiple levels.

• Korean Journal of School Psychology
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• v.18 no.3
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• pp.317-349
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• 2021

This study was conducted to examine the reliability and validity of the internet (IOS-Q), Game (GOS-Q), and Smartphone (SOS-Q) Overuse Screening Questionnaires in a large community sample of adolescents. To achieve this goal, data from 9,336 middle school students (male: 4,796, female: 4,540) was divided into two groups and analyzed by conducting confirmatory factor analysis and exploratory factor analysis, respectively. We conducted another confirmatory factor analysis on a separate sample of data from 4,536 elementary school students (male: 2,260 male, female: 2,276) and 6,551 middle school students (male: 3,013, female: 3,538) from other populations. As a result of factor analysis, IOS-Q was consisted of 17 items, GOS-Q was consisted of 19 items, and SOS-Q was consisted of 18 items. The IOS-Q and GOS-Q factors were psychological dependence, failure to control use despite recognizing problems, dangerous use, and reduced interest in other areas while the SOS-Q factors were dangerous and obsessive use, failure to control use despite recognizing problems, reduced interest in other areas, and withdrawal/tolerance. Each factor reflected the major facets of behavioral addiction or impulse control disorder, and the questionnaires had good internal consistencies of .880-.915. Latent profile and ROC analyses were conducted to determine cutoff points for screening high-risk groups. Lastly, theoretical and practical implications as well as the limitations of this study were discussed.

• The Journal of Korean Academy of Sensory Integration
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• v.20 no.3
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• pp.48-59
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• 2022

Objective : This study was intended to systematically consider the sensory integration intervention methods offered in Korea for children with autism spectrum disorder and to provide an evidence base for the application of sensory integration interventions. Methods : The subjects of this study were published studies in a national journal for the last 10 years from January 2011 to December 2020. The databases used for the search were RISS and DBpia. The search terms were 'autism', 'autism spectrum', 'sensory integration', and 'intervention'. A total of 10 studies were used in the analysis, which were analyzed at the qualitative and methodological quality of the research evidence and the results were presented according to the PICO (Patient, Intervention, Comparison, Outcome). Results : In the research analysis, the quality level of the evidence was highest at level IV, followed by level II. The methodological quality of the evidence was the most common for 'Good' research, followed 'Fair'. The study subjects were children with autism spectrum disorder and their parents, and the experimental design had the highest frequency of single-subject studies. Interventions have the highest number of studies confirming adaptive behavior and sensory modulation, and the evaluation tools used to measure interventions have the highest frequency of sensory profiles and Canadian occupational performance measures (COPM). All 10 studies used in the analysis showed positive improvements and statistically significant effects on various outcome values from sensory integration interventions. Conclusion : In the recent clinical environment, sensory integration interventions have been continuously conducted in children with autism spectrum disorder. In future research, it is necessary to conduct research on various sensory integration intervention methods and the high quality of the evidence for the application of sensory integration interventions.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.

• Journal of agricultural medicine and community health
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• v.34 no.2
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• pp.155-167
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• 2009

Objectives: The purpose of this study was to investigate healthy city project related characteristics to members of the Korea Healthy Cities Partnership(KHCP). Methods: This study analyzed general characteristics of healthy city, characteristics of healthy city(political support, collaboration & citizen participation, healthy city project, infrastructure development, capacity building), self-evaluation of healthy city and etc by self-questionnaires from February to December, 2007, which were distributed to government workers who were in charged in health city project of 23 membership cities of KHCP. Results: The number of urban city was 11(47.8%) and that of rural municipality was 12(52.5%). Public health center was almost in charge of healthy city project(73.9%). As for the characteristics of healthy city, healthy city municipal budget(91.3%), city health profile(91.3%), technical support of cooperative university(82.6%), healthy city regulation(78.3%), citizen participation(78.3%), committee(73.9%), setting approach(69.9%) and healthy city network(69.6%) were good. But intersectoral collaboration(34.8%), long-term healthy city plan(39.1%), administrative policy or campaign promise(43.5%), programs to the vulnerable population(47.8%), department in charge(47.8%) and seminar(47.8%) were not good. Especially, characteristics of healthy city according to the existence of department in charge were significantly different in intersectoral collaboration, citizen participation, setting approach and healthy city network. Conclusions: In spite of rapid expansion in healthy cities, there were great difficulty in political support, collaboration, department in charge and programs of health equity. So we need to go a long way to achieve the vision of healthy cites by its principles and characteristics.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.125-140
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• 2023

Careful preparation for a start-up can lower the risk of failure and create a successful business model. However, there are still challenges for middle-aged entrepreneurs, as start-up services and policies are often not readily accessible or fully utilized. Despite active research on middle-aged start-ups, previous studies have not delved deeply into the demographics of start-up preparation and various preparation behaviors. In response to this, a study was conducted to identify which start-up support services middle-aged entrepreneurs use, and how start-up preparation can be classified based on this. Data from 324 middle-aged tech start-up owners, based in Seoul and who started their businesses within the past 7 years, was collected and analyzed. The results showed that middle-aged entrepreneurs had moderate start-up preparation, with the greatest focus on the preparation period and the least focus on start-up education. Latent Profile Analysis revealed three groups of start-up preparation types among middle-aged entrepreneurs: "Overall Tribal Type," "Lack of Start-up Education Type," and "Comprehensive Preparation Type." BCH was performed on start-up satisfaction, start-up competence, fear of failure, access to start-up services, and support needs for middle-aged entrepreneurs based on the preparation type. The results showed that "Overall Tribal Type" had statistically lower start-up satisfaction, competence, and service accessibility compared to the other groups. Meanwhile, "Comprehensive Preparation Type" had a statistically lower fear of failure than the other types. "Overall Tribal Type" also had lower accessibility to middle-aged start-up services. All types had a high recognition of the need for support for specialized middle-aged start-ups. The findings highlight the need for more comprehensive support for middle-aged entrepreneurs. This could include expanding support projects to enhance their level of preparation, providing customized support based on their level of preparation, and improving the visibility and accessibility of start-up support services for middle-aged individuals. Additionally, specialized education that addresses the characteristics of middle-aged individuals should be provided.

• Journal of Distribution Science
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• v.9 no.4
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• pp.5-13
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• 2011

This study provides analysis of the effectiveness of domestic marketing strategies of the Korean coffee shop "Caffe Bene". It bases its evaluation on statistical outputs of 'choice attributes,' "market segmentation," demographic characteristics," and "satisfaction differences." The results are summarized in four points. First, five choice attributes were extracted from factor analysis: price, atmosphere, comfort, taste, and location; these are related to coffee shop selection behavior. Based on these five factors, cluster analysis was conducted, with statistical results classifying customers into three major groups: atmosphere oriented; comfort oriented; and taste oriented. Second, discriminant analysis tested cluster analysis and showed two discriminant functions: location and atmosphere. Third, cross-tabulation analysis based on demographic characteristics showed distinctive demographic characteristics within the three groups. Atmosphere oriented group, early-20s, as women of all ages was found to be 'walking down the street 'and 'through acquaintances' in many cases, as the cognitive path, and mostly found the store through 'outdoor advertising', and 'introduction'. Comfort oriented group was mainly women who are students in their early twenties or professionals, and appeared as a group to be very loyal because of high recommendation to other customers compared to other groups. Taste oriented group, unlike the other group, was mainly late-20s' college graduates, and was confirmed, as low loyalty, with lower recommendation activity. Fourth, to analyze satisfaction differences, one-way ANOVA was conducted. It shows that groups which show high satisfaction in the five main factors also show high menu satisfaction and high overall satisfaction. This results show that segmented marketing strategies are necessary because customers are considering price, atmosphere, comfort, taste, location when they choose coffee shop and demographics show different attributes based on segmented groups. For example, atmosphere oriented group is satisfied with shop interior and comfort while dissatisfied with price because most of the customers in this group are early 20s and do not have great financial capability. Thus, price discounting marketing strategies based on individual situations through CRM system is critical. Comfort oriented group shows high satisfaction level about location and shop comfort. Also, in this group, there are many early 20s female customers, students, and self-employed people. This group customers show high word of mouth tendency, hence providing positive brand image to the customers would be important. In case of taste oriented group, while the scores of taste and location are high, word of mouth score is low. This group is mainly composed of educated and professional many late 20s customers, therefore, menu differentiation, increasing quality of coffee taste and price discrimination is critical to increase customers' satisfaction. However, it is hard to generalize the results of study to other coffee shop brand, because this study have researched only one domestic coffee shop, Caffe Bene. Thus if future study expand the scope of locations, brands, and occupations, the results of the study would provide more generalizable results. Finally, research of customer satisfactions of menu, trust, loyalty, and switching cost would be critical in the future study.