• Applied Biological Chemistry
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• v.42 no.1
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• pp.58-62
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• 1999

Method to access qualities of brown sauce and optimize its cooking conditions was studied by sensory evaluation and response surface methodology. Cooks of an hotel, sauce experts, were selected as sensory panelists, and the brown sauce cooking conditions practically used in an hotel were adopted to prepare sauce samples for the sensory test. The cooking conditions were designed with two factors, i.e., one factor of roux contents with three levels and the other factor of cooking times with three levels, which were known as most important in sauce cooking. Sensory acceptance evaluation with intensity 7 grades was applied for several sauce attributes such as color, flavour, viscosity, taste and overall. Ability of each panel to perceive the differences between the brown sauces prepared under different cooking conditions was judged, and only data of the 9 panelists proved as reliable among the 12 panelists were reflected. The acceptances by different cooking conditions were found to be in the order of 11 > 9 > 13% roux contents and 8 > 9 > 7 hr cooking times. Response surface methodology was treated with second-order model on the sensory data and the optimum cooking conditions with the highest acceptances were $10.3{\sim}10.8%$ roux content and 8 hr cooking time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.782-784
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• 2012

문화지도는 문화와 관련된 다양한 양상들을 점, 선, 기호 등으로 표현하여 지도에 나타낸 것이며, 전자문화지도는 이 지도를 효율성과 편리성을 위하여 컴퓨터를 이용하여 디지털 파일이나 데이터베이스화 시킨 것이다. 이러한 문화지도를 활용하면 해외지역 연구 결과를 시각적으로 표현할 수 있어서, 연구 결과를 보다 이해하기 쉽게 되고 새로운 연구에 대한 기초 자료로 활용이 가능하다. 본 논문에서는 해외지역 문화, 특히 지중해지역을 위한 전자문화 지도의 접목에 대하여 연구한다. 세부적으로 문화양식, 문화유산, 문화생활과 같은 다양한 문화 양상을 식별하기 위한 문화 분류, 문화지도 구성을 제시한다.

• Proceedings of the KSPS conference
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• 2005.11a
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• pp.211-214
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• 2005

본고에서는 산업용 음성 DB를 위한 XML 기반 메타데이터의 표준화에 대한 현재 상황과 표준화 활동에 대하여 소개한다. 산업용 음성 DB는 구축에 많은 시간과 비용을 요구하며, 양질의 음성 처리 시스템 (인식/합성/인증)의 개발을 위해서는 가능한 많은 양의 음성 데이터가 필요하다. 산업용 음성 DB 메타데이터 표준화는 서로 다른 기관에서 구축한 음성 DB의 공유와 재사용을 원활히 하기 위하여, 2004년 9월부터 요구사항 분석을 시작하여, 2005년 3월 초안이 완성되었다. 본 표준안은 음성 DB 메타데이터의 구조를 XML 기반으로 정의한 것이며, 음성 파일 이름, 화자 식별자, 음소 기호와 같은 구조 외의 표준화 대상에 대해서는 다루지 않는다. 이미 ETRI와 SiTEC [5]에서 XML 기반의 메타데이터 구조와 내용 표준안을 제안한 바 있으나. [5]에서 제안한 구조는 평면 구조를 취하고 있어 내용의 중복성등의 단점이 있어, 이를 보완하여 음성 DB 데이터 모델을 객체지향 방식으로 설계하였다.

• Information Systems Review
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• v.15 no.3
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• pp.129-139
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• 2013

The Internet of Things (or IoT for short) which refers to uniquely identifiable objects and their virtual representations in an Internet-like structure is to be reality today. The amount of data on IoT is expected to increase abruptly and there are several key issues like usefulness interoperability between multiple distributes systems, services and databases. In this paper a methodology is proposed to realize a recently developed cloud service model, Contents as a Service (CaaS), which is contents delivery model referred to as 'on-demand contents'. In the proposed method, the global object identification, ePosition, comprising the structured form of two sorts of text strings with a separation symbol like # is applied to identify a specific content and registered with the content at the same server. It is easy-to-realize and effective to solve the interoperability problem systematically and logically. Some APIs for the proposed CaaS service are to be converged to provide some upgraded cloud service model such as 'CaaS supported SaaS' and 'CaaS supported PaaS'.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.21-41
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• 2010

This paper proposes a system that can serve users with appropriate search results through real time filtering, and implemented adaptive user profiling based personalized information retrieval system(PIRS) using users' implicit feedbacks in order to deal with the problem of existing search systems such as Google or MSN that does not satisfy various user' personal search needs. One of the reasons that existing search systems hard to satisfy various user' personal needs is that it is not easy to recognize users' search intentions because of the uncertainty of search intentions. The uncertainty of search intentions means that users may want to different search results using the same query. For example, when a user inputs "java" query, the user may want to be retrieved "java" results as a computer programming language, a coffee of java, or a island of Indonesia. In other words, this uncertainty is due to ambiguity of search queries. Moreover, if the number of the used words for a query is fewer, this uncertainty will be more increased. Real-time filtering for search results returns only those results that belong to user-selected domain for a given query. Although it looks similar to a general directory search, it is different in that the search is executed for all web documents rather than sites, and each document in the search results is classified into the given domain in real time. By applying information filtering using real time directory classifying technology for search results to personalization, the number of delivering results to users is effectively decreased, and the satisfaction for the results is improved. In this paper, a user preference profile has a hierarchical structure, and consists of domains, used queries, and selected documents. Because the hierarchy structure of user preference profile can apply the context when users perfomed search, the structure is able to deal with the uncertainty of user intentions, when search is carried out, the intention may differ according to the context such as time or place for the same query. Furthermore, this structure is able to more effectively track web documents search behaviors of a user for each domain, and timely recognize the changes of user intentions. An IP address of each device was used to identify each user, and the user preference profile is continuously updated based on the observed user behaviors for search results. Also, we measured user satisfaction for search results by observing the user behaviors for the selected search result. Our proposed system automatically recognizes user preferences by using implicit feedbacks from users such as staying time on the selected search result and the exit condition from the page, and dynamically updates their preferences. Whenever search is performed by a user, our system finds the user preference profile for the given IP address, and if the file is not exist then a new user preference profile is created in the server, otherwise the file is updated with the transmitted information. If the file is not exist in the server, the system provides Google' results to users, and the reflection value is increased/decreased whenever user search. We carried out some experiments to evaluate the performance of adaptive user preference profile technique and real time filtering, and the results are satisfactory. According to our experimental results, participants are satisfied with average 4.7 documents in the top 10 search list by using adaptive user preference profile technique with real time filtering, and this result shows that our method outperforms Google's by 23.2%.

• Korean journal of food and cookery science
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• v.15 no.6
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• pp.652-658
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• 1999

Arrowroot Mook was prepared as a trial to develop new food items from natural resources, and its rheological properties were measured. 1. The starting point of gelatinization of 7% arrowroot starch solution was $67.5^{\circ}C$ as measured by amylograph. The viscosity of arrowroot starch reached the maximum 375 B.U. at $95^{\circ}C$ and decreased to 315 B.U. while holding at $95^{\circ}C$ for 15 min. When the temperature dropped to $50^{\circ}C$, the viscosity increased again to 530 B.U. 2. The gelatinization enthalpy of arrowroot starch was 15.603 J/g. 3. For the color, there were significant differences in b value for the arrowroot Mook made of arrowroot starch and in L value for the Mook made by the addition of arrowroot juice. 4. In descriptive analysis, $S_3$(14% arrowstarch) was most favored in color, and $S_1$(10% arrowstarch)was most favored in transparency, brittleness, fineness, and shininess. There were no significant differences in hardness, adhesiveness, and astringency. 5. On the contrary to mechanical measurement, there were no significant differences in hardness of samples as the addition of arrowroot juice increased, although there appeared a tendency to be softer in descriptive analysis. 6. The Mook prepared with 12% arrowroot starch was most favored by sensory evaluation. In case of adding arrowroot juice, the Mook containing 3% of arrowroot juice was most favored. Overall, arrowroot Mook showed a potential as a new food item.

• Korean Journal of Food Science and Technology
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• v.31 no.3
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• pp.746-750
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• 1999

The effects of electron-beam irradiation on the microbial and sensory qualities of pork loins were studied. The pork loins were aerobically packed in polyethylene films and exposed to absorbed doses of electron-beam at 0, 0.5, 1 and 2 kGy in ambient temperature. All samples were stored at $4{\pm}1^{\circ}C$. As an irradiation dose increased, decontaminating effects increased in terms of total microbial count, lactic acid bacteria and psychrotrophs during storage. All difference degrees in the triangle test were very low levels. In the descriptive analysis, Low dose irradiation did not affect aroma, off-flavor and acceptability in fresh and cooked meats.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.2
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• pp.253-266
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• 2023

The Null Pointer Dereference vulnerability is a significant vulnerability that can cause severe attacks such as denial-of-service. Previous research has proposed methods for detecting vulnerabilities, but large and complex programs pose a challenge to their efficiency. In this paper, we present a lightweight tool for detecting specific functions in large binaryprograms through symbolizing variables and emulating program execution. The tool detects vulnerabilities through data dependency analysis and heuristics in each execution path. While our tool had an 8% higher false positive rate than the bap_toolkit, it detected all existing vulnerabilities in our dataset.

• Journal of Korean Library and Information Science Society
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• v.46 no.3
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• pp.27-49
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• 2015

The purpose of this study is to suggest the ways to apply describing attributes and relationships of families to Korean Cataloging Rules. In order to achieve the objective of this study, the FRAD conceptual model, and the cataloging rules such as RDA, DACS2 and KCR2 were analyzed. For describing attributes of families, this study analyzed name, type, date, place, prominent member, hereditary title, language, history, and identifier of families. For describing relationships of families, this study investigated describing relationships to families associated with each resource, such as a work, an expression, a manifestation, and an item, and describing relationships between families, relationships between families and persons, and relationships between families and corporate bodies. Based on these analyses, this study suggested the application methods of describing attributes and relationships of families in Korean Cataloging Rules.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.7-21
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• 2017

This study analyzed the methods for representing and linking personal information in the linked data of National Library of Korea and provided suggestions for expanding the scope of identifying and linking of the personal information. As a result, the personal information as a subject has been dealt with a concept, where the personal information as a contributor has been linked with a vocabulary of personal name. In addition, there have not been assured of including additional information except existing authority data in the process of building the linked data. Therefore, this study suggested that linking personal information as a subject and personal information as a contributor was essential for the quality of linked data. In addition, we proposed to provide additional information related to the person in linked data for expanding the scope of access points in information discovery.