• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.139-150
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• 2021

Object orientation has become the predominant paradigm for conceptual modeling (e.g., UML), where the notions of class and object form the primitive building blocks of thought. Classes act as templates for objects that have attributes and methods (actions). The modeled systems are not even necessarily software systems: They can be human and artificial systems of many different kinds (e.g., teaching and learning systems). The UML class diagram is described as a central component of model-driven software development. It is the most common diagram in object-oriented models and used to model the static design view of a system. Objects both carry data and execute actions. According to some authorities in modeling, a certain degree of difficulty exists in understanding the semantics of these notions in UML class diagrams. Some researchers claim class diagrams have limited use for conceptual analysis and that they are best used for logical design. Performing conceptual analysis should not concern the ways facts are grouped into structures. Whether a fact will end up in the design as an attribute is not a conceptual issue. UML leads to drilling down into physical design details (e.g., private/public attributes, encapsulated operations, and navigating direction of an association). This paper is a venture to further the understanding of object-orientated concepts as exemplified in UML with the aim of developing a broad comprehension of conceptual modeling fundamentals. Thinging machine (TM) modeling is a new modeling language employed in such an undertaking. TM modeling interlaces structure (components) and actionality where actions infiltrate the attributes as much as the classes. Although space limitations affect some aspects of the class diagram, the concluding assessment of this study reveals the class description is a kind of shorthand for a richer sematic TM construct.

• 패션비즈니스
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• 제25권1호
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• pp.1-15
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• 2021

Consumption value has widened, not only in functional but also aesthetic aspects, and consumers have started to find products that are more individual and emotional. The pattern of natural motifs meets the needs of consumers, and the marble is also widely used in patterns as one of the natural motifs. In this study, we analyzed many fashion items and other products with marble patterns based on the elements of CMF design, which are important points in merchandise design. For research, data on marble and its patterns have been found in professional books about marble. Foreign and domestic cases were investigated from well-known design exhibitions. Results of the study demonstrate the potential for pattern representation that stimulates consumers' senses by using color or material to express a variety of visual patterns, and using many finishing methods to express textured patterns. However, most of the domestic cases have only imitated the visual features of marble patterns, and very few have expanded the scope of the use of the patterns. A domestic research study was conducted only on the chemical features of marble, while research on the color and design of the visual aspects has been conducted passively. Therefore, This study will attribute designers to come up with creative pattern design and secure many consumers. Above all, we hope that the expansion of material representations will help designers break away from today's stereotypes of the characteristics of the materials and emotional expression.

• 대한통합의학회지
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• 제9권1호
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• pp.69-90
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• 2021

Purpose : This study explores unmet medical services within a region for patients admitted to a single medical institution in one region and was to analyze the importance and satisfaction of hospital selection attributes. Through this, we tried to solve the unmet medical needs of patients and provide useful basic data in terms of hospital management in the region. Methods : It were collected to a total of 250 questionnaires for patients admitted to the regional integrative medical hospital. However, 232 samples were used for the final analysis, excluding 18 copies not reported in good faith. For the analysis, first, demographic frequency analysis of inpatients and inpatients was performed, and second, characteristics of patients, including frequent disease receiving treatment, were analyzed. Next, descriptive statistics analysis was conducted on unmet medical service intentions. In terms of hospital selection attribute, the items of continuity maintenance (I quadrant), priority visibility (II quadrant), low priority (III quadrant), and excessive effort (IV quadrant) were derived using the IPA (importance-performance analysis) matrix technique. Results : The derived results were classified by item and area. In the priority administration area, it was the reputation and recognition of medical institutions and the service area of medical institutions. In the case of items, there were 6 items including the importance of surgery and medical expenses, and diet at hospitalization. 1) Conclusion : Thus a result of this study, resources are efficiently allocated to priority correction areas with high importance but low satisfaction and circulatory medical treatment is performed in the departments required by patients who use medical care and, various methods, such as preparing a policy to support medical expenses, should be sought.

• 한국식생활문화학회지
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• 제37권5호
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• pp.429-437
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• 2022

This study evaluated the quality of school milk programs and analyzed the relative importance of school milk program selection attributes using conjoint analysis. The survey was conducted on students from middle and high schools in metropolitan cities that provide school milk programs. Responses were received from 414 students and the data was subjected to frequency analysis, t-test, and conjoint analysis using the SPSS Statistics Package. While evaluating white milk in the school milk program, middle school students rated 'packaging condition' (4.23) the highest, high school students rated 'nutrition' (4.64) the highest, and their evaluation of all the quality attributes was significantly different from that of middle school students (p<0.001). Overall satisfaction scores too, showed a significant difference between high school (4.46) and middle school students (4.01) (p<0.001). Processed milk & dairy products had the highest satisfaction score in the attribute of 'serving time' (4.57). The relative importance of the choice attributes of the school milk program was in the order of 'number per item' (62.260%), 'temperature' (25.708%), and 'serving method' (12.032%) for all students. The school milk program most preferred by all students and middle school students was to provide milk at a refrigerated temperature, select white milk three times a week, processed milk, fermented milk, and cheese twice a week, and provide it at the desired time.

• 한국식생활문화학회지
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• 제36권3호
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• pp.293-299
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• 2021

The purpose of this study was to investigate the perception of the quality of school meals by parents of kindergarten children in Seoul, analyze the acceptance price and the optimal school meal cost using PSM (price sensitivity measurement) techniques, and provide basic data for improving the quality of kindergarten meals. The survey was conducted using descriptive statistics and PSM analysis of the responses of 1,272 parents of 779 kindergarten children belonging to the Seoul Metropolitan Office of Education from April to May 2021 and prior research analysis related to kindergarten meals. 74.1% of the parents surveyed were women, with 61% of children attending kindergartens attached to elementary schools, followed by private kindergartens (28.9%) and public kindergartens (10.1%). According to a study of the quality of meals, private kindergarten parents are highly satisfied with all the quality attributes of meals, such as "sanitation of dining environment" and "nutritionally balanced food" (p<0.001, p<0.01). The analysis of the acceptance price range and the optimal price for school meals showed that there was no significant variation based on the type of kindergarten establishment, with parents' acceptance price range ranging from 3,596 won to 4,454 won with an optimal price of 3,948 won.

• Journal of Acupuncture Research
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• 제39권1호
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• pp.10-16
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• 2022

This study aimed to analyze the status of adverse events (AEs) in the treatment of musculoskeletal conditions/diseases using thread embedding acupuncture (TEA). Five electronic databases were searched to retrieve data on clinical studies published in the last 5 years (2016 to 2021). Of the 151 studies retrieved, 22 studies analyzed AEs and were selected for this review. There were no AEs reported in 6 studies (27.3%); of the remaining 16 studies, 4 studies (18.2%) reported AEs that were not related to TEA. The most common AEs reported in the Chinese studies were redness of skin with/without swelling and tingling sensation, and in the Korean studies they were stiffness, a foreign body sensation, and bruising. The percentage of patients with AE experience was 5.1% in the Chinese studies and 19.9% in the Korean studies. The discrepancies between the findings in the Chinese and Korean studies may be attribute to differences in the diameter of needles, thread materials, TEA treatment procedure, and evaluation methods for AEs. Most of the reported AEs were of a mild status and did not last for a long time. However, further research on the clinical course after TEA treatment is needed.

• 지식경영연구
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• 제23권4호
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• pp.159-175
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• 2022

창의성이 조직의 성장과 발전에 중요하다는 점에서, 많은 기업들이 조직원의 창의성을 높이기 위한 방안들을 모색하고 있다. Dual pathway to creativity model 에 관련된 기존 연구에 따르면, 창의성은 두 가지 경로(인지적 유연성 혹은 인지적 지속성)를 통해 향상된다고 알려져 있다. 그러나, 이 두 가지 경로가 어떻게 활성화 되는지 이해하는데 있어서 조직원의 개인적 특질이 고려되어야 함에도 불구하고, 유연성과 지속성 중 어느 경로가 특정 성격에 더 효과적 인지에 대해서는 거의 논의된 바가 없다. 본 논문에서는, 애착 이론에 근거하여, 개인이 가진 애착 유형이 두 가지 인지적 경로에 어떤 영향을 미치는지 살펴보았다. 구체적으로, 안정 애착을 가진 개인이 (인지적 지속성이 아닌) 인지적 유연성 경로를 사용했을 때, 창의성이 향상된다고 예측하였다. 미국 피험자를 대상으로 한 온라인 실험은 본 연구의 가설을 지지하고 있다. 본 연구의 결과는, 조직 내 창의성 향상에 있어서 안정 애착이 (인지적 지속성이 아닌) 인지적 유연성과 더 적합하다는 점을 시사하고 있다.

• 한국의류산업학회지
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• 제25권1호
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• pp.11-23
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• 2023

With the proliferation of the "Untact" culture (non-face-to-face society), advanced technologies have accelerated the cashierless systems in the retail context. Cashierless fashion stores are expected to grow rapidly in the same way automated convenience stores grew in popularity. Applying the extended technology acceptance theory, this study aims to investigate how the attributes of cashierless fashion store influence consumers' acceptance of it and to examine how consumer's technology readiness moderates the model. Two online surveys-preliminary and secondary-were conducted to collect data from consumers in their 20s and 30s who had experienced cashierless stores over the past year. To analyze a total of 423 responses, this study conducted a confirmatory factor analysis, a multi-group factor analysis, a multi-group structure equation modeling, and a descriptive analysis. The results demonstrate that convenience, trustworthiness, and price had a positive impact on perceived ease of use, while service quality had a negative one. Enjoyment, convenience, trustworthiness, and price positively influenced perceived usefulness. Both perceived ease of use and usefulness increased the intention to use. Furthermore, the multi-group comparison confirmed that the positive dimensions of consumer's technology readiness played a moderating role in the model. This study provides a research foundation for consumer acceptance of technologically advanced stores and offers practical implications to companies planning cashierless fashion stores.

• 대한토목학회논문집
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• 제26권6D호
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• pp.1011-1017
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• 2006

습지 생태계는 환경의 변화에 민감하여 인위적 간섭에 매우 취약하다. 습지는 육상과 수상생태계의 전이지대이며 인간생활에 매우 중요하다. 따라서 습지의 보전과 관리대책 마련이 필수적이다. 습지 분포지역의 명확한 위치정보, 속성자료를 포함하는 수치지도와 지리정보시스템(GIS)을 이용한 Environment-GIS(E-GIS)의 개선이 필요하다. 본 연구에서는 산지습원에 대한 통합 DB로서 습지관리의 기초자료를 구축하는 방법의 표준안을 제시하였다. 기준점 측량방식을 이용하여 수치지도를 이용한 정확한 위치를 규정하였고 습지분포 수치지도 영역을 표현하였다. 이로써 지리정보를 이용한 GIS DB로 전환하여 도형, 속성정보를 수치화 하였다. 본 연구에서 구축된 습지정보를 기반으로 연구범위 내 환경부 지정 대표 보존습지의 구성인자인 지형, 지질, 동 식물상 분포를 분석하여 발견되지 않은 습지 분포지역을 예측 할 수 있는 활용방안을 제시하였다.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.99-109
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• 2023

The darknet is frequently referred to as the hub of illicit online activity. In order to keep track of real-time applications and activities taking place on Darknet, traffic on that network must be analysed. It is without a doubt important to recognise network traffic tied to an unused Internet address in order to spot and investigate malicious online activity. Any observed network traffic is the result of mis-configuration from faked source addresses and another methods that monitor the unused space address because there are no genuine devices or hosts in an unused address block. Digital systems can now detect and identify darknet activity on their own thanks to recent advances in artificial intelligence. In this paper, offer a generalised method for deep learning-based detection and classification of darknet traffic. Furthermore, analyse a cutting-edge complicated dataset that contains a lot of information about darknet traffic. Next, examine various feature selection strategies to choose a best attribute for detecting and classifying darknet traffic. For the purpose of identifying threats using network properties acquired from darknet traffic, devised a hybrid deep learning (DL) approach that combines Recurrent Neural Network (RNN) and Bidirectional LSTM (BiLSTM). This probing technique can tell malicious traffic from legitimate traffic. The results show that the suggested strategy works better than the existing ways by producing the highest level of accuracy for categorising darknet traffic using the Black widow optimization algorithm as a feature selection approach and RNN-BiLSTM as a recognition model.