• Title/Summary/Keyword: 모델 이해

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Three-Dimensional Printed Model of Partial Anomalous Pulmonary Venous Return with Biatrial Connection (양측 심방 연결을 형성하는 부분 폐정맥 환류 이상의 3D 프린팅 모델)

  • Myoung Kyoung Kim;Sung Mok Kim;Eun Kyoung Kim;Sung-A Chang;Tae-Gook Jun;Yeon Hyeon Choe
    • Journal of the Korean Society of Radiology
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    • v.81 no.6
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    • pp.1523-1528
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    • 2020
  • Partial anomalous pulmonary venous return (PAPVR) is a rare congenital cardiac anomaly that can be difficult to detect and often remains undiagnosed. PAPVR is diagnosed using non-invasive imaging techniques such as echocardiography, CT, and MRI. Image data are reviewed on a 2-dimensional (D) monitor, which may not facilitate a good understanding of the complex 3D heart structure. In recent years, 3D printing technology, which allows the creation of physical cardiac models using source image datasets obtained from cardiac CT or MRI, has been increasingly used in the medical field. We report a case involving a 3D-printed model of PAPVR with a biatrial connection. This model demonstrated separate drainages of the right upper and middle pulmonary veins into the lower superior vena cava (SVC) and the junction between the SVC and the right atrium, respectively, with biatrial communication through the right middle pulmonary vein.

How to Identify Customer Needs Based on Big Data and Netnography Analysis (빅데이터와 네트노그라피 분석을 통합한 온라인 커뮤니티 고객 욕구 도출 방안: 천기저귀 온라인 커뮤니티 사례를 중심으로)

  • Soonhwa Park;Sanghyeok Park;Seunghee Oh
    • Information Systems Review
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    • v.21 no.4
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    • pp.175-195
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    • 2019
  • This study conducted both big data and netnography analysis to analyze consumer needs and behaviors of online consumer community. Big data analysis is easy to identify correlations, but causality is difficult to identify. To overcome this limitation, we used netnography analysis together. The netnography methodology is excellent for context grasping. However, there is a limit in that it is time and costly to analyze a large amount of data accumulated for a long time. Therefore, in this study, we searched for patterns of overall data through big data analysis and discovered outliers that require netnography analysis, and then performed netnography analysis only before and after outliers. As a result of analysis, the cause of the phenomenon shown through big data analysis could be explained through netnography analysis. In addition, it was able to identify the internal structural changes of the community, which are not easily revealed by big data analysis. Therefore, this study was able to effectively explain much of online consumer behavior that was difficult to understand as well as contextual semantics from the unstructured data missed by big data. The big data-netnography integrated model proposed in this study can be used as a good tool to discover new consumer needs in the online environment.

The Effect of Online Multiple Channel Marketing by Device Type (디바이스 유형을 고려한 온라인 멀티 채널 마케팅 효과)

  • Hajung Shin;Kihwan Nam
    • Information Systems Review
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    • v.20 no.4
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    • pp.59-78
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    • 2018
  • With the advent of the various device types and marketing communication, customer's search and purchase behavior have become more complex and segmented. However, extant research on multichannel marketing effects of the purchase funnel has not reflected the specific features of device User Interface (UI) and User Experience (UX). In this study, we analyzed the marketing channel effects of multi-device shoppers using a unique click stream dataset from global online retailers. We examined device types that activate online shopping and compared the differences between marketing channels that promote visits. In addition, we estimated the direct and indirect effects on visits and purchase revenue through customer's accumulated experience and channel conversions. The findings indicate that the same customer selects a different marketing channel according to the device selection. These results can help retailers gain a better understanding of customers' decision-making process in multi-marketing channel environment and devise the optimal strategy taking into account various device types. Our empirical analyses yield business implications based on the significant results from global big data analytics and contribute academically meaningful theoretical framework using an economic model. We also provide strategic insights attributed to the practical value of an online marketing manager.

Effectiveness of Virtual Human Disclosure: The Impact of Identity Exposure on Users' Attitude Toward the Ad and Source Credibility (가상 인간의 정체성 노출이 소비자의 광고 태도와 정보원 공신력에 미치는 영향)

  • Young Jun Sohn;Yoonhyuk Jung
    • Information Systems Review
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    • v.25 no.2
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    • pp.205-227
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    • 2023
  • Recently, Virtual Human(VH) has begun to appear in various media, not only on social media, but also in advertisements, music sources, and dramas. Virtual human has become a primary marketing tool for companies, but there also exist concerns when the companies do not disclose the identities of virtual humans. Accordingly, it is necessary to examine users' responses toward content that features virtual humans. This study aimed to examine how the exposure of virtual humans in the content affects users' perceptions. Therefore, the study defined the concept of 'VH Disclosure(VHD)', referring to the exposure of the virtual human's identity, and explored the impact of VH disclosure on attitude toward the ad (Hedonism, Utilitarianism, and Interestingness) and source credibility (Trustworthiness and Expertise). The study conducted an experimental survey with 302 respondents. Regardless of when the ad featured a VH or a human, the results showed that there was no significant difference between users' attitudes and source credibility. The results revealed that it was more effective to disclose the VH in social media feeds than directly reveal the VH's identity in the content. Therefore, this study utilizes a new concept of 'VH Disclosure(VHD)' to enhance the understanding of VH and contributes to establishing marketing strategies optimized for consumers in the creation of virtual human-related content.

Analyzing Changes in Consumers' Interest Areas Related to Skin under the Pandemic: Focusing on Structural Topic Modeling (팬데믹에 따른 소비자의 피부 관련 관심 영역 변화 분석: 구조적 토픽모델링을 중심으로)

  • Nakyung Kim;Jiwon Park;HyungBin Moon
    • Knowledge Management Research
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    • v.25 no.1
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    • pp.173-192
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    • 2024
  • This study aims to understand the changes in the beauty industry due to the pandemic from the consumer's perspective based on consumers' opinions about their skin online before and after the pandemic. Furthermore, this study tries to derive strategies for companies and governments to support sustainable growth and innovation in the beauty industry. To this end, posts on social media from 2017 to 2022 that contained the keyword 'skin concerns' are collected, and after data preprocessing, 96,908 posts are used for the structural topic model. To examine whether consumers' interest areas related to skin change according to the pandemic situation, the analysis period is divided into 7 periods, and the variables that distinguish each stage are used as meta-variables for the structural topic model. As a result, it is found that consumers' interests can be divided into 22 topics, which can be categorized into four main categories: beauty manufacturing, beauty services, skin concerns, and other. The results of this study are expected to be utilized in construction of product development and marketing strategies of related companies and the establishment of economic support policies by the government in response to changes in demand in the beauty industry due to the pandemic.

An Analysis on the Awareness and Cooperative Class Experience of the Media and Information Literacy(MIL): Targeting the Teachers in Gyeonggido Office of Education (미디어 정보 리터러시(MIL) 인식과 협력수업 경험 분석 - 경기도교육청 소속 교원을 대상으로 -)

  • Juhyeon Park;Jeonghoon Lim;YoungSun Paek;Seohyun Kim
    • Journal of Korean Library and Information Science Society
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    • v.55 no.2
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    • pp.133-157
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    • 2024
  • The purpose of this study is to obtain basic information necessary to set the content and direction of MIL cooperative teaching by analyzing elementary and secondary school teachers' MIL awareness and cooperative teaching experience. For this purpose, a survey was conducted on cooperative classes, media, and MIL among 401 teachers in the Gyeonggido Office of Education. The analysis results are as follows. ① It is necessary to provide teachers with the experience of cooperative classes and develop MIL cooperative class models and manuals, ② It is necessary to apply the MIL curriculum to school education and operate it as a cooperative classes, ③ The types of media used in the MIL curriculum should be developed by reflecting the development stage and the opinions of educational experts. ④ In the MIL curriculum, it is necessary to deal with 'information comprehension (reading) and evaluation competency education'. ⑤ It is necessary to use school libraries and teacher-librarians in promoting students' MIL improvement policies. As a follow-up study, it is necessary to conduct MIL cooperative instructional models and MIL curriculum studies.

Analysis of the Relationship between Melon Fruit Growth and Net Quality Using Computer Vision and Fruit Modeling (컴퓨터 비전과 과실 모델링을 이용한 멜론 과실 생장과 네트 품질의 관계 분석)

  • Seungri Yoon;Minju Shin;Jin Hyun Kim;Ji Wong Bang;Ho Jeong Jeong;Tae In Ahn
    • Journal of Bio-Environment Control
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    • v.32 no.4
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    • pp.456-465
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    • 2023
  • Melon fruits exhibit a wide range of morphological variations in fruit shape, sugar content, net quality, diameter and weight, which are largely dependent on the variety. These characteristics significantly affect marketability. For netted varieties, the uniformity and pattern of the net serve as key factors in determining the external quality of the melon and act as indicators of its internal quality. In this study, we evaluated the effect of fruit morphology and growth on netting by analyzing the changes in melon fruit quality under LED light treatment and monitoring fruit growth. Computer vision analysis was used for quantitative evaluation of fruit net quality, and a three-variable logistic model was applied to simulate fruit growth. The results showed that melons grown under LED conditions exhibited more uniform fruit shape and improvements in both net quality and sugar content compared to the control group. The results of the logistic model showed minimal error values and consistent curve slopes across treatments, confirming its ability to accurately predict fruit growth patterns under varying light conditions. This study provides an understanding of the effects of fruit shape and growth on net quality.

A Numerical Study on the Flow Characteristics of Grouts in Jointed Rock (절리암반에서의 주입재 유동특성에 관한 수치해석적 연구)

  • 김문상;문현구
    • Geotechnical Engineering
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    • v.11 no.3
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    • pp.123-138
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    • 1995
  • To study the grout flow in jointed rock, various nurser characteristics of grout in a single joint plane and two-dperorbed. The joint plane is described as a channel nets properties of grout are considered. To deal with various prob generator and i oint network generator are used. A loss of head due to friction in laminal flow is adopted to between the grout and joint wall. The grout flow is stopped, setting time. To consider this phenomenon, the idea of maxim From the results of numerical simulation on the single jai etration of grout is confirmed. The basic principles for the ation and the selection of the grout are presented. Correlation ant and grouting pressure is defined by analyzing the effects grout flow. Finally, the grout flow around a tunnel is simulate ins grouting operation for jointed rock mass.

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Analysis of Relationship between GPs and SPs in CMMI Maturity Level 2 and Verifying the Applicable Efficiency (CMMI 성숙도 2단계 GP와 SP간 상호 연관성 분석 및 적용 효율성 검증)

  • Lee, Min-Jae;Rhew, Sung-Yul;Kim, Sung-Tae
    • Journal of KIISE:Software and Applications
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    • v.37 no.6
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    • pp.480-485
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    • 2010
  • In the characteristics of CMMI architectures and components, there are many relations among CMMI practices. The organizations can be more efficiently improving their processes if they understand relationship among CMMI practices. However, there are no researches regarding this topic yet. In this paper we analyzed the relationship between Generic Practices and Specific Practices of each process areas in CMMI Maturity Level 2 by using Chi-square test of independence. As a result, we demonstrated that 10 Generic Practices in each process area are related 17 out of 48 Specific Practices (35% relationship). Using this result to improve the organization's processes, we achieved a significant improvement of 36.5% in CMMI appraisal result.

Numerical Study on Hydraulic Fluid Flows Within Axial Piston Pumps (액셜 피스톤 펌프내 유압유 유동에 대한 수치해석적 연구)

  • Jeong, Jong-Hyun;Kim, Jong-Ki;Suh, Yong Kweon
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.34 no.2
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    • pp.129-136
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    • 2010
  • Axial piston pumps have been widely used as power sources for hydraulic systems, but studies on the fluid flow within the pump have been usually performed using 1-D analysis because of the difficulties in considering the fluid compressibility, high-speed revolution, variation of the flow rate, and complicated geometry. The goal of this study was to understand the hydraulic fluid flow within axial piston pumps by using the 3-D numerical method and the process of generating discharge pressure ripples. To improve the convergence and robustness of the simulation model, a grid system was constructed with hexahedron-type grids around the valve plate. Furthermore, we employed an empirical formula to describe the relationship between the oil density and pressure. The CFD (computational fluid dynamics) results compared well with the experimental data.