• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.3
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• pp.214-227
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• 2022

The successful implementation of green supply chain management(GSCM) practices requires a level of cooperation that can be difficult to conduct. Despite this challenge, limited scholarly attention has been paid to exploring how the implementation of GSCM practices can be effectively facilitated and enhanced through accumulated social capital with suppliers. Based on social capital theory, this study postulates that supplier network characteristics derived from social capital with key suppliers can be critical antecedents of GSCM, which in turn enhances the firm's environmental performance. To test hypotheses, data were collected from 330 firms in 15 countries, and structural equation modeling was employed. Results show that GSCM improves environmental performance, and structural and cognitive social capitals of the supplier network act as antecedents and lead to GSCM implementation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.663-666
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• 2021

본 논문에서는 바다와 같은 스케일이 큰 장면인 물 시뮬레이션에서 표현되는 거품 효과(Foam effects)를 노이즈 없이 디테일하게 표현할 수 있는 프레임워크를 소개한다. 거품이 생성될 위치와 거품 입자의 이류는 기존의 접근법인 스크린 투영 방법을 통해 계산한다. 이 과정에서 중요한 것이 투영맵이지만 이산화된 스크린 공간에 운동량을 투영하는 과정에서 노이즈가 발생한다. 본 논문에서는 노이즈 제거 신경망(Denoising neural network)을 활용하여 이 문제를 효율적으로 풀어낸다. 투영맵을 통해 거품이 생성될 영역이 선별되면 2D공간을 3D공간으로 역변환(Inverse transformation)하여 거품 입자를 생성한다. 결과적으로 깔끔한 거품 효과뿐만 아니라, 노이즈 제거 과정으로 인해 소실되는 거품 없이 안정적으로 거품 효과를 만들어냈다.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.67-76
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• 2024

Diabetic retinopathy is a threatening complication of diabetes, caused by damaged blood vessels of light sensitive areas of retina. DR leads to total or partial blindness if left untreated. DR does not give any symptoms at early stages so earlier detection of DR is a big challenge for proper treatment of diseases. With advancement of technology various computer-aided diagnostic programs using image processing and machine learning approaches are designed for early detection of DR so that proper treatment can be provided to the patients for preventing its harmful effects. Now a day machine learning techniques are widely applied for image processing. These techniques also provide amazing result in this field also. In this paper we discuss various machine learning and deep learning based techniques developed for automatic detection of Diabetic Retinopathy.

• Journal of Korea Water Resources Association
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• v.44 no.11
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• pp.903-913
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• 2011

In this paper important factors in determining improvement priorities for water pipes were categorized into the effects of a pipe failure to entire pipe network and the characteristics of individual pipe. Subsequently, mathematical models that can quantify these factors were developed using the Fuzzy techniques. The effects of a pipe failure to entire pipe network and the characteristics of individual pipe that were estimated byFuzzy techniques were coined as Fuzzy Importance Index and Fuzzy Characteristic Index, respectively. The Fuzzy Characteristic Index was further categorized into Fuzzy Deterioration Index and Fuzzy Difficulty Index. Considerations were given to applying weights to specific factors in the developed model depending on the circumstances of model applications. To provide an example of the methodology an example pipe network, Net3, of the EPANET program was used. The Fuzzy Importance Index (FII) and Fuzzy Deterioration Index (FDI) were calculated for the Net3 network by considering the hydraulic effects of a pipe failure on the entire pipe network and the pipe deterioration as one of the individual pipe characteristics. Subsequently, the improvement priorities of the pipes in the Net3 pipe network were established based on the FII and FDI.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.459-467
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• 2016

This study was conducted to evaluate and identify what factors influence the satisfaction of the users for the fast-growing social network game based on the mobile. To this end, we looked around the variable product characteristic factor, quality and the consumer characteristic factor, user self-determination. Also we surveyed 211 male and female college students. The first finding was that all the sub-factors of the quality factor had positive effects on the satisfaction of the mobile social network games. The second finding was that all the sub-factors of the self-determination factor had positive effects on the satisfaction of the mobile social network games. The third finding was that only the sub-factors of quality had positive relative effects on the satisfaction of the mobile social network games, in the order of playfulness, usability, functionality from the most to the least. The findings of this study are expected to offer meaningful and practical suggestions for the development of high quality game contents for the user convenience, as well as the academic significance, the expansion of game-related area of research through the break from the traditional research trends, technology and engineering point of view and from the PC-based online game.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.1
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• pp.85-99
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• 2019

Startups need proper external supports to survive and build strong foundations for growth in their early stage. Accelerators help such startups by providing tangible and intangible resources. Accordingly, accelerators are creating a social environment that can effectively support the startups in the early stage, distinct from other institutions that fund or help the startups. However, the actual impact of accelerators on startups has not been yet fully scrutinized thoroughly, especially with the lack of theoretical lenses to comprehend accelerators. This paper aims to build a theoretical foundation to understand the role of accelerator, focusing on the network-based perspective. We briefly overview the concept of accelerator and the current status of the accelerator industry. Subsequently, focusing on the network that accelerators and startups create, this paper examines how the characteristics of the network relationships affect the growth and survival of the early-stage startups. Thus, by offering systematic analysis of the underlying mechanisms of the effects of the accelerators under network-based approach, this paper suggests a direction for the future empirical research on the topic of startup accelerator.

• Korean Journal of Family Social Work
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• no.57
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• pp.125-157
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• 2017

The purpose of this study was to analyse effects of public support for single-parent family for adolescent single-parent who experienced social exclusion and social network. This study utilized a part of National Youth Policy Institute's 'Research on the Actual Condition of the Adolescent Pregnancy, Birth and Rearing Children'. Participants of the study were 262 adolescent single-parents at the age of 24 and below. In order to understand the effect, this study verified the moderating effect of public support for single-parent family in the context of social exclusion and social network on parental attitude and behavior(parenting efficacy, parenting stress, negative parenting behavior). Results of this study are as follows; First, Nearly half of adolescent single-parent has economic hardship in original family and most they lived with preschool children on unemployed state that the average monthly income of them was about 600,000 won. It means that their financial independence difficult. Second, family support was only significant factor for parenting efficacy and positive relationship with family and acquaintances was major influence factor for causing positive parental behavior of adolescent single-parent. As a result, social network was verified more important factor than social exclusion on parental attitude and behavior. Lastly, public support for single-parent family was confirmed as social mitigation mechanism that has the moderating effect of social exclusion and social network on parental attitude and behavior.

• The Journal of the Korea Contents Association
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• v.5 no.3
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• pp.201-208
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• 2005

To guarantee the quality of service for user request, we should consider various kinds of things. The important thing of QoS is that response time of service is transparently suggested 'to network users. We can know the response time of service using the information of network latency, system latency, and software component latency, In this paper, we carried out the modeling of network latency and analyzed the effects of packets loss to the network latency, Also, we showed the effectiveness of modeling using the NS-2. This research can help to provide the effective methods in case of SLA(Service Level Agreement) agreement between service provider and user.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.17-38
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• 2012

Social network service(SNS), provided by social network sites such as Facebook, Twitter and Cyworld is rapidly growing in online business. Furthermore, many companies have growing interests in finding effective ways to use SNSs for their innovations, marketing and advertisement. In fact, firms have recognized the utility value of the SNS for their business. In this aspect, this study attempts to identify key factors influencing the intention to continuous use of SNSs. Based on the UTAUT(the Unified Theory of Acceptance and Usage of Technology)model, this study proposes the research model, including the effects of social network service characteristics(social relationship support, information sharing, image expression) and individual characteristics(self-disclosure, extroversion, familiarity) on performance expectancy as well as the moderating effect of perceived information security among UTAUT variables. The 412T sets of data collected in a survey were tested against the modeling using SEM using SmartPLS. Results indicated that social network service and individual characteristics had significant effect on performance expectancy with exception of self-disclosure. In addition, the moderating effect of perceived information security had significant effect. The results had important implications for firms providing SNSs hoping to develop a successful business model.

• Journal of Physiology & Pathology in Korean Medicine
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• v.30 no.6
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• pp.419-425
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• 2016

This study analyzed research methodologies based on network pharmacology to build a new system architecture optimized for Korean Medicine research. Results form studies using network pharmacology were collected and analyzed to evaluate the strength and weakness. Finally, an improved system architecture was proposed. Whether the predicted effects of drugs or herbs from network pharmacological analyses were in agreement with those from conventioanl knowledge of Korean Medicine was evaluated. These results were used to verify the applicability of research methodologies to the modern pharmacology and Korean Medicine respectively. Eighteen papers using TCMSP were collected and analyzed. The results suggest that the research methodology based on network pharmacology is appropriate only for the modern pharmacology but not for Korean Medicine. Information about compound-compound, herb-herb and drug-compound interactions need to be considered. We propose the modified system architecture with those information.