• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.163-179
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• 2010

Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.

• Journal of Food Hygiene and Safety
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• v.36 no.1
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• pp.42-50
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• 2021

Along with the rapid growth of the food service industry, food safety requirements and hygiene are increasing in importance in restaurants and hotels. Accordingly, there is a need for quick and practical monitoring techniques to determine hygiene status in the field. In this study, we investigated 5 domestic 5-star hotels specifically, personal hygiene (hands of workers), cooking utensils (knife, cutting board, food storage container, slicing machine blade, ice-maker scoop) and other facilities (refrigerator handle, sink). In addition, we examined the hygiene management status of customer contact points (tongs for buffet, etc.) to derive the correlation between the ATP values as a, a verification method. As a result of our five-hotel survey, we found that cooking utensils and personal hygiene were relatively sanitary compared to other inspection items (cookware 92.2%, personal hygiene 91.4%, facilities and equipment 76.19%, customer contact items 88.6%). According to our ATP-based mothod, kitchen utensils (51 ± 45 RLU/25㎠) were relatively clean compared to other with facilities and equipment (167 ± 123 RLU/25㎠). In the present study, we also evaluated the usefulness of the ATP bioluminescence method for monitoring surface hygiene at hotel restaurants. After correlation analysis of surveillance of hygienic status points and ATP assay, most results showed negative and high correlation (-0.64--0.89). Our ATP assay (92 ± 67 RLU/25㎠) of each item after cleaning showed signigicantly reduced results compared to the ATP assay (1020 ± 1254 RLU/25㎠) for normal status, thereby indicating its suitability as a tool to verify the validity of cleaning. By our results, ATP bioluminescence could be used as an effective tool for visual numerical evaluation of invisible contaminants.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.191-203
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• 2022

In this paper, we developed a system that intelligently identifies skin image data from big data collected from social media Instagram and extracts standardized skin sample data for skin condition diagnosis and management. The system proposed in this paper consists of big data collection and analysis stage, skin image analysis stage, training data preparation stage, artificial neural network training stage, and skin image identification stage. In the big data collection and analysis stage, big data is collected from Instagram and image information for skin condition diagnosis and management is stored as an analysis result. In the skin image analysis stage, the evaluation and analysis results of the skin image are obtained using a traditional image processing technique. In the training data preparation stage, the training data were prepared by extracting the skin sample data from the skin image analysis result. And in the artificial neural network training stage, an artificial neural network AnnSampleSkin that intelligently predicts the skin image type using this training data was built up, and the model was completed through training. In the skin image identification step, skin samples are extracted from images collected from social media, and the image type prediction results of the trained artificial neural network AnnSampleSkin are integrated to intelligently identify the final skin image type. The skin image identification method proposed in this paper shows explain high skin image identification accuracy of about 92% or more, and can provide standardized skin sample image big data. The extracted skin sample set is expected to be used as standardized skin image data that is very efficient and useful for diagnosing and managing skin conditions.

• Journal of Information Technology Application
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• v.2 no.1
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• pp.55-81
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• 2000

An Electronic Document Management System(EDMS) is an electronic system solution that is used to create, capture, distribute, edit, store and manage documents and related structured data repositories throughout an organization. Recently, documents of any type, such as text, images, and video files, and structured databases can be controlled and managed by an office automation system and an EDMS. Thus, many organizations are already using these information technologies to reduce process cycle-times. But what the organizations are missing is a integrated system the current workflow or office automation system and provides immediate access to and automatic routing of the organization's mission-critical information. This study tried to find out the user's requirements for integrating current information system and relatively new technology, electronic document management system in order to improve business operations, productivity and quality, and reduces waste. integration of electronic document management system(EDMS) and office automation system and proper use of these technological will improve organization's processes, and compress the process cycle-times. For this study a case study was done by a project team in cooperation with a government organization(say A company). Through this case study valuable electronic document management and office automation system requirement have been identified and reported for providing a system model in order to design an Integrated EDMS(IMDMS).

• Management & Information Systems Review
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• v.29 no.4
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• pp.169-186
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• 2010

This study aims to reveal the ways to sharpen the edges of Korean companies through the relativity analysis between knowledge management and innovational cluster in environmental changes in resent Busan. That is, according to the knowledge management approach, the methods and directions of strengthening industrial competition were established, while the strategy of innovational clusters was suggested as a way of expanding and encouraging knowledge management. The key words of innovational cluster are in this research are the framework of Cluster theory, the importance of innovational cluster, and the change of managerial strategy paradigm. This study provide the several implication for the practice of knowledge management and the researchers. Based on these theories of knowledge management and industrial clusters, their close relationships were analyzed. As a result, industrial clusters were found to be effectively utilized to enlarge and deepen knowledge management. In addition, this suggests the efficient operation guideline of knowledge management. this study indicates both knowledge and innovational cluster should be operated and handled together in the managerial strategy. but this research has limitations in generaling the study result because it collects data from local firms only in Busan.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1027-1042
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• 2004

A Software Component is a module that is reused among a lot of projects, systems, and companies rather than a single application. Components can be reused in various systems if they provide not only the common functionalities required in many applications but also the diverse aspects to be customized for being suitable for customers' demands. From the development phase, components should be designed and developed considering the variable aspects they have for convenient customization. Easily customized components can be frequently reused in lots of applications. In the literature, there are some modeling and customizing techniques. But they suggested only conceptual or basic methods based on Object-Oriented. And the practical instructions for reusing component were not provided sufficiently. Moreover, there are few techniques that consider the proper variability types components have. Thus, those techniques are not appropriate for applying to black box component completely developed and released. In this paper, we classify variabilities that components have in functional aspect into two categories. The one is logic variability, and the other is workflow variability. For each classified variability, we propose the three kind of modeling techniques, which are selection, plug in and externalization. Also detailed instructions for practical design and application are provided.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.2
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• pp.158-170
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• 2008

In response to the changing demands of ever competitive market, SK Telecom has built a new marketing system that can support dynamic marketing campaigns and, at the same time, scale up to the large volumes of data and transactions for the next decade. The system which employs Unix-based client-server (using Web browser interfaces) architecture will replace the current mainframe-based COIS system. The project, named NGM (Next Generation Marketing ), is unprecedentedly large in scale. However, both managerial and technical problems led the project into a crisis. The application framework that depended on a software solution from a major global vendor could not support the dynamic functionalities required for the new system. In March 2005, SK telecom declared the suspension of the NGM project. The second phase of the project started in May 2005 following a comprehensive replanning. It was decided that no single existing solution could cope with the complexity of the new system and hence the new system would be custom-built. As such. a number of technical challenges emerged. In this paper, we report on the three key dimensions of technical challenges - middleware and application framework, database architecture and tuning, and system performance. The processes and approaches, adopted in building NGM system, may be viewed as "best practices" in the telecom industry. The completed NGM system, now called "U.key System," successfully came into operation on the ninth of October, 2006. This new infrastructure is expected to give birth to a series of innovative, fruitful, and customer-oriented applications in the near future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.625-637
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• 2020

In order to decide the naval ship weapon system acquisition for national policy/market economy activities, the decision makers can determine policy based on current technology level/concentration/utilization. For this, the decision makers apply the major common technology field analysis using patents data. As a method for collecting patent data, we can collect patent data of domestic mobile carriers through the Korea Intellectual Property Rights Information System of Korean Intellectual Property Office. As a result, we collected 14,964 patents/352 International Patent Classification(IPC) types. Based on these data, we performed three analysis processes (SNA, PCA, ARIMA, Text Mining) and got each result from extracting 58 IPC types of SNA and 7 IPC types of PCA. Based on the analysis results, we have confirmed that 7 IPC(B63B, H01M, F03D, B01D, H02K, B23K, H01H) types are the Major Common Technology Distribution of domestic Defense Companies.

• Journal of the HCI Society of Korea
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• v.3 no.1
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• pp.33-38
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• 2008

The major users of children's library are children and housewives. Recent increasing frequency of their visit to the library expands the function of it from the place where they borrow and read books further to the cultural space where each family unit can enjoy leisure activities. Though the children's library basically is a quiet place for reading books, peers' establishing friendship and emotional bond with the parents, and such plays as small scale muscular movements take place in addition to reading activities because the major users are infants under six or children in the lower grades in elementary school. Thus, in order to study the features and requirements that are inherent in the various behaviors of the children who use furniture, understanding of the particular factors in the physical environment of the children's library and the user context must precede. In reality, though the fixed form of the desks and chairs in the library was made by a small number of designers, a large number of children are using them in tremendously various ways beyond the ways that the designers had intended, adapting themselves to the environmental context. Therefore, the purpose of this study is to find out the children's using way of seats when they do reading and playing activities based on the way of interaction between children and parents, and, after modeling of the children's behavior data, to understand the demands inherent inside the various behaviors of children who use furniture.

• The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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• v.10 no.3
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• pp.48-57
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• 1999

안테나 단에서 직접 수신 신호의 디지털화가 이루어지고 그 해당 신호의 처리는 고속 디지털 신호처리기 내에서 소프트웨어로 수행되는 방식을 SWR(Software Radio)이라 한다. 그러나 현재의 기술 수준을 감안하여 보다 현실적인 SDR(Software Defined Radio) 정의가 필요하게 되었다. SDR이란 수신신호의 디지털화가 안테나 이하의 임의의 단(IF단)에서 이루어지는 무선으로 정의된다. 물론 A/D변환기등의 기술이 더욱 발전되면 궁극적으로는 SWR로 진화될 것이다. 그러면 SDR은 왜 필요한 것일까? 현재 사용중인 이동통신 단말기의 단점은 어느 한 표준 또는 방식에 종속되어 언제 어디서나 임의의 시스템에 접속되어 사용하기에는 많은 기술 종속적인 문제 및 제약을 내포하며, 사용방식에 따른 시스템의 유연성이 없고, 상용 서비스 도중에 발생되는 단말기 문제의 해결(recall service)이 어렵고, 많은 기술료를 지불해야 한다는 것이다. 부연하면 CDMA 셀룰라의 경우 퀄컴 등의 특정한 회사에 의해 기술이 폐쇠되어, 정보의 흐름이 자유스럽지 못할 뿐더러, 이로 인해 기술진화가 보다 빠르게 진행되지 못하고, 전세계적으로 많은 새로운 우수 제품의 출연에 제약이 가해진다는 것이다. 따라서 SDR(Software Defined Radion)을 도입, 하드웨어 및 소프트웨어를 개방형 구조(open architecture)로 개발한다면 정보의 흐름을 자유롭게 할 수 있고, 이로 인하여 세계적으로 다양한 신제품의 개발이 촉진되고 결과적으로 전세계 시장이 커지게 되는 일석이조의 효과를 얻을 수 있게 된다. 또한 이 같은 개방형 단말기 개발의 필요성은 최근 시장동향으로 볼 때, 기존의 단말기 회사 입장에서는 새로운 수익 모델이 필요한 시점이고, 또한 2002년경에 판매되는 단말기의 80%정도는 멀티모드타입 단말기일 것으로 예측되는 점, 그리고 금년말까지 100개 회사 이상이 SDR 포럼 멤버로 가입할 것으로 예측되는 점, 무선 인터넷 폭발적인 성장으로 복합 멀티미디어 단말기 시대가 다가오는 점 등으로 미루어 볼 때, 고객의 서비스 가치선택에 역점을 둔 기술을 중시해야 한다는 점에서 더욱 설득력을 지닌다. 따라서 이 같은 목적과 3세대 이동통신 및 인터넷 사용자의 증가, 반도체기술의 발전에 힘입어, 과거 군용 시스템에서 이용되던 SWR 기술을 상용시스템 특히 3세대 이동통신에 적용하려는 연구가 활발히 진행되고 있다. '96년 SDR 포럼이 결성되었는데, 목적은 휴대형 장치(hand-held devices), 기지국(base stations), 차량형 장치(mobile stations)를 포함하는 다중모드(multi-mode), 다중대역(multi-band) SDR을 위한 개방형 구조의 표준을 정하기 위함이다. 이 같이 public forum에 의한 표준(open architecture standard)이 정해지면 그 다음은 이를 어떻게 구현할 것인가가 문제가 될 것이다. 본고에서는 먼저 SDR 단말기 요구사항을 살펴보고, 이 요구사항들을 만족하는 SDR 단말기 구조, SDR 계층참조 모델, 그리고 기존의 단말기 구조와 SDR 계층참조 모델의 연관관계에 대해 살펴보고, 크게 두가지 종류의 단말기 즉 사용 SDR 단말기와 군용 SDR 단말기에 대해 살펴보고, 설계 절차 및 현재 시점에서 단말기 구현을 위해 해결해야 하는 기술적 과제를 살펴보고 결론을 언급한다.