• KIISE Transactions on Computing Practices
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• v.22 no.1
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• pp.50-55
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• 2016

To attain an understanding of customers' opinions or demands regarding a companies' products or service, it is important to consider VOC (Voice of Customer) data; however, it is difficult to understand contexts from VOC because segmented and duplicate sentences and a variety of dialog contexts. In this article, POS (part of speech) and morphemes were selected as language resources due to their semantic importance regarding documents, and based on these, we defined an LSP (Lexico-Semantic-Pattern) to understand the structure and semantics of the sentences and extracted summary by key sentences; furthermore the LSP was introduced to connect the segmented sentences and remove any contextual repetition. We also defined the LSP by categories and classified the documents based on those categories that comprise the main sentences matched by LSP. In the experiment, we classified the VOC-data documents for the creation of a summarization before comparing the result with the previous methodologies.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.3
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• pp.19-32
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• 2020

Recently, the luxury brand market has expanded from the 5060 market to the 2030 market segment due to diversification of distribution channels, an increase in income, and changes in consumption values. This change is attributed to the increase in sales of fashion accessory products, such as bags and wallets, thereby confirming the importance of the luxury brand fashion accessories market. However, there are few studies of the luxury brand fashion accessories market or brand loyalty for fashion accessories, which accounts for a large proportion of the overall luxury brand market. The purpose of this study was to develop and empirically test a theoretical framework that captures and compares the difference of impact of service quality, product attributes, and consumer satisfaction on luxury brand loyalty between the 20-30 market and the 5060 market of the fashion accessories market. Data was collected from 598 customers who purchased luxury brand fashion accessories by objective sampling. Structural equation modelling was used to test the hypotheses developed for the study. Results found evident effects of consumer satisfaction on luxury brand loyalty through the perception of service quality by consumers. Additionally, in the 2030 market, the fashion accessory attributes had little impact on consumer satisfaction and luxury brand loyalty, whereas in the 5060 market, it had a significant impact only on consumer satisfaction, but not on luxury brand loyalty. This is the first study to examine a structural equation model of luxury brand loyalty to compare the difference of the model between segmented markets, such as the 2030 market and the 5060 market of the luxury brand fashion accessories market. These results will contribute to a better understanding of the mechanism that underlie the operation of an effective luxury branding strategy for fashion accessories.

• Composites Research
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• v.15 no.6
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• pp.38-43
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• 2002

Rapid Prototyping(RP) technologies provide the ability to fabricate initial prototypes from various model materials. Stratasys' Fused Deposition Modeling(FDM) is a typical RP process that can fabricate prototypes out of plastic materials, and the parts made from FDM were often used as load-carrying elements. Because FDM deposits materials in about 300$\mu$m thin filament with designated orientation, parts made from FDM show anisotropic material properties. In this paper an analytic model was proposed to predict the tensile strength of FDM parts. Applying the Classical Lamination Theory, which was developed for laminated composite materials, a computer code was implemented. Tsai-Wu failure criterion was added to the code to predict the failure of the FDM parts. The tensile strengths predicted by the analytic model were compared with experimental data. The data and prediction agreed reasonably well to prove the validity of the model. In addition, a web-based advisory service(FDMAS) was developed to provide strength prediction and design rules for FDM parts.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.597-604
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• 2003

웹기반 쇼핑시스템(Web-Based Shopping Systems: WBSS)이 매우 급속한 속도로 글로벌 전자상거래 환경에서 확산되고 있다. 웹기반 쇼핑시스템은 인터넷에 기반하여 제품(product)나 정보(Information) 그리고 서비스(service)에 대한 상거래 행위나 활동이 이루어 질 수 있도록 지원하는 시스템이다. 아마존(amazon.com)과 같은 닷컴기업들은 웹기반 쇼핑시스템을 성공적으로 운영하고 있는 대표적인 예에 해당된다. 아마존(amazon.com)의 예와 같이 기업들이 웹기반 쇼핑시스템을 도입함으로써 이전의 상거래와는 전혀 다른 유형의 사업(business)을 전개할 수 있다. 따라서 본 연구는 디지털 경제의 핵심적 동인(enabler)인 웹기반 쇼핑에 관련된 연구를 수행하는 연구자들 뿐만 아니라, 웹기반 쇼핑시스템의 성공적 구현 및 운영에 관심있는 기업인들에게 효과적인 가이드라인을 제공해 줄 것이다. 또한 전자상거래 (electronic commerce)에 관련된 기존 연구들은 정보통신기술(Information Communication Technology: ICT)의 역할을 과대평가하거나 혹은 과소평가하는 경향이 있다. 예를 들면 사회과학의 어떤 연구에서는 기술(technology)의 무분별한 수용에 대한 회의론이 제기되고 있고, 공학과 컴퓨터 분야의 연구에서는 기술적 측면에만 집중하여 연구가 수행되는 경향이 있다. 위와 같이 어느 한쪽에 편협된 시각에 근거하여 웹기반 쇼핑시스템과 같은 새로운 정보통신기술의 확산현상을 적절하게 설명하기에는 한계가 있는 것 같다. 따라서 본 연구에서는 웹기반 쇼핑시스템의 확산에 관련된 균형된 분석을 수행하기 위하여 경영(management)과 기술 (technology)을 조화롭게 고려한 관점에서 연구를 수행하고자 한다. 즉, 본 논문에서는 기술적 측면(technical aspect)과 경영적 측면(management aspect)을 동시에 고려하여 웹기반 쇼핑시스템의 주요만 특성을 살펴보고, 향후 정보통신 기술(ICT)의 확산에 관한 연구에서 두 가지 관점의 통합적 중요성에 대하여 강조하고자 한다. 그에 덧붙여 웹기반 쇼핑시스템과 다른 정보시스템을 비교하여 전자상거래 환경에서 웹기반 쇼핑시스템의 주요만 특성들이 두가지 연구관점에서 어떻게 개념화 될 수 있는지를 고찰하고자 한다. 이러만 분석에 기반하여 본 연구에서는 기술적 측면과 경영적인 측면을 동시에 고려한 웹기반 쇼핑시스템의 특성을 제시하고자 한다. 결론적으로 본 연구의 목적은 본 논문에서 적용한 기술(technical)과 경영(management)의 조화로운 연구관점이 향후 정보통신 기술이나 시스템, 그리고 전자상거래에 관련된 일련의 연구에 적응되어 보다 균형잡힌 논의와 분석이 이루어 질 수 있는 시발점이 되길 기대한다.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.1-12
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• 2010

No one can deny that information technology has enormously contributed to the recent economic growth of Korea. Software serves as an essential part of most products and services today. However, economic treatments and social status of software technicians, who are the key players and core elements of the software industry, are in a very unsatisfactory situation. Despite this circumstance, discussion or study on the productivity of software people and approaches to raise value of technical manpower in software industry is scarce. The purpose of this study is to suggest a policy program to uplift the value of technical manpower in the software industry. To achieve this purpose, this paper will examine the present status of software manpower, analyze the productivity of software technicians, and suggest policy programs to improve the value of technical manpower in the software field.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.155-163
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• 2017

South Korea has experienced various social problems during rapid economic development, and now attempts to address them through social economy and advanced technologies. This approach, however, requires comprehensive research on not only phenomenal issues but also their fundamental causes and regional/cultural contexts as Design Thinking Process does. This study aims to draw implications for applying Design Thinking Process into the entire process of solving social problems, from field research, idea refinement, and solution design. Limitations of Design Thinking-based social problem solving are also drawn through comparative analysis on various cases. In conclusion, the process of refining ideas and developing product/service can be utilized by social enterprises, ventures, NGOs, etc. as a guideline in addressing social problems.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1019-1022
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• 2015

사회적 약자인 청각장애인들의 수화통역 서비스가 대체로 만족스럽게 제공되고 있지 않다. 또한 청각 장애인수 대비 수화통역가의 부족과 일반인과의 즉각적인 소통이 어려워 일상생활에 불편함을 느끼는 청각장애인들이 많다. 이의 문제점을 착안하여 본 연구에서는 청각장애인들이 휴대할 수 있는 수화 통역기를 개발하고자 한다. 청각장애인들의 손동작을 인식할 수 있는 3D센서 립모션(Leap-Motion)을 통해 수화를 인식한다. 립모션 센서와 안드로이드 스마트폰 및 태블릿과 연결하여 손 데이터 값을 분석했다. 분석한 손 데이터 값과 특정 지화(자음, 모음)와 간단한 인사말의 수화동작을 취할 때, 트래킹되는 데이터 값을 비교하여 수화를 인식하고 수화와 인식된 지화의 자음과 모음을 글자로 완성시켜, 텍스트와 음성으로 출력한다. 또한 립모션이 부착된 하드케이스 안에 스마트기기 탈착이 가능한 실용성 있는 수화통역기 제품 개발에 대한 연구를 목표로 하고 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1670-1675
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• 2020

In this study, to provide the basis for establishing effective network based countermeasures against DRDoS(Distributed Reflection Denial of Service) attacks, we propose a new 'DRDoS attack multi-level detection method' that identifies the network based characteristics of DRDoS and applies probability and statistical techniques. The proposed method removes the limit to which normal traffic can be indiscriminately blocked by unlimited competition in network bandwidth by amplification of reflectors, which is characteristic of DRDoS. This means that by comparing 'Server to Server' and 'Outbound Session Incremental' for it, accurate DRDoS identification and detection is possible and only statistical and probabilistic thresholds are applied to traffic. Thus, network-based information security systems can take advantage of this to completely eliminate DRDoS attack frames. Therefore, it is expected that this study will contribute greatly to identifying and responding to DRDoS attacks.

• Knowledge Management Research
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• v.23 no.1
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• pp.187-201
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• 2022

Online reviews written by tourists provide important information for the management and operation of the tourism industry. The star rating of online reviews is a simple quantitative evaluation of a product or service, but it is difficult to reflect the sincere attitude of tourists. There is also an issue; the star rating and review content are not matched. In this study, a star rating prediction model based on online review content was proposed to solve the discrepancy problem. We compared the differences in star ratings and sentiment by continent through sentiment analysis on tourist attractions and hotels written by foreign tourists who visited Korea. Variables were selected through TF-IDF vectorization and sentiment analysis results. Logit, artificial neural network, and SVM(Support Vector Machine) were used for the classification model, and artificial neural network and SVR(Support Vector regression) were applied for the rating prediction model. The online review rating prediction model proposed in this study could solve inconsistency problems and also could be applied even if when there is no star rating.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.271-277
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• 2022

PBFT (Practical Byzantine Fault Tolerant) is a consensus algorithm that can achieve consensus by resolving unintentional and intentional faults in a distributed network environment and can guarantee high performance and absolute finality. However, as the size of the network increases, the network load also increases due to message broadcasting that repeatedly occurs during the consensus process. Due to the characteristics of the PBFT algorithm, it is suitable for small/private blockchain, but there is a limit to its application to large/public blockchain. Because PBFT affects the performance of blockchain networks, the industry should test whether PBFT is suitable for products and services, and academia needs a unified evaluation metric and technology for PBFT performance improvement research. In this paper, quantitative evaluation metrics and evaluation frameworks that can evaluate PBFT family consensus algorithms are studied. In addition, the throughput, latency, and fault tolerance of PBFT are evaluated using the proposed PBFT evaluation framework.