• Journal of KIISE:Software and Applications
• /
• v.26 no.12
• /
• pp.1404-1417
• /
• 1999

웹과 같은 분산 환경에서는, 웹 브라우저 상에서 SQL 형식의 공간 질의를 수행시키는 것과 또한 서버로부터 그 질의 결과를 보는 것이 가능하다. 그러나, 격자 이미지(raster image)와 같은 대용량 공간 데이타를 포함하는 질의 결과를 웹 브라우징할 때 발생하는 많은 문제점들 중에서, 사용자 응답 시간의 지연은 매우 중요한 문제이다. 본 논문에서는 사용자의 재요청(callback) 접근 패턴이 공간적 근접성(spatial locality)을 따른다는 가정하에서의, 사용자 응답 시간을 최소화하기 위한 새로운 프리페치(prefetch) 전략에 대해서 서술한다. 본 논문의 프리페치 전략은 다음과 같이 요약될 수 있다. 첫째, 프리페치 알고리즘은 사용자의 접근 패턴을 잘 반영하는 힐버트 곡선(Hilbert-curve) 모델을 바탕으로 한다. 둘째, 프리페치 전송 비용을 줄이기 위해서 사용자의 재요청 시간 간격(think time)을 이용한다. 본 논문에서는, 힐버트 곡선을 이용한 프리페치 전략의 성능 평가를 위해서 다양한 실험을 하였으며, 그 결과로 프리페치를 하지 않는 방식보다 높은 성능 향상이 있음을 보인다.Abstract In distributed environment(e.g., WWW), it would be possible for the users to submit SQL-like spatial queries and to see their query results from the server on the Web browser. However, of many obstacles which result from browsing query results including large spatial data such as raster image, the delay of user response time is very critical. In this paper we present a new prefetch policy which can alleviate user response time on the assumption that user's callback access pattern has spatial locality. Our prefetch policy can be summerized as follows: 1) our prefetch algorithm is based on the Hibert-curve model which well replects user's access pattern, and 2) it utilizes user's callback interval to reduce prefetch network transmission cost. In this paper we conducted diverse experiments to show that our prefetch policy achieves higher performance improvement compared to other non-prefetch methods.

• Proceedings of the Korean Society of Dyers and Finishers Conference
• /
• 2012.03a
• /
• pp.86-86
• /
• 2012

고속방사소재는 연신공정이 없이 6,000m/min이상의 고속방사공정만이 있으므로 원가절감이 되고, 빠른 냉각, 높은 변형속도 등으로 섬유의 결정화도, 분자와 결정의 배향 및 모폴로지(morphology) 변화 등의 기계적 및 섬유상의 특성이 종래의 원사와는 다르게 된다. 방사속도가 증가함에 따라 배향도가 증가하면서 결정영역 또한 증가한다. 또한 기존 연신사에 비해 큰 결정크기를 갖는데 방사속도에 에 따른 방사응력의 증가가 응력유도 결정화도를 유발하여 결정크기 및 결정화도를 증가시키고,따라서 고분자의 용융점도를 고온측으로 이동시키는 현상을 나타내게 한다. 즉, 고속방사에 있어서는 연신에 필요한 임계응력 이상의 과도한 응력이 가해짐으로 인해 결정구조가 일반 연신사에 비해 현저히 발달한다는 것을 알 수 있다. 고속방사 원사를 통일한 조건으로 염색하는 경우 기존의 연신사보다 염착량이 많아 농색으로 염색이 가능하고 염착속도도 빠른 특징을 갖는 데이는 고속방사 원사의 비결정 배향이 낮고 느슨한 구조를 갖기 때문에 염료의 침투가 용이한 것으로 해석되고 있다. PET 섬유는 방사 후 형태안정성을 부여하기 위해서 염색 전처리 공정에서 열을 가하게 된다. 이런 과정에서 섬유의 미세구조가 변하게 되는데,특히 고속방사의 경우 섬유 형성과정이 연신사와는 다르므로 열에 의한 구조 변화와 이에 따른 염색성 변화에 대해 검토해 보는 것은 고속방사의 응용면에서 꼭 필요하다. 본 연구에서는 고속방사소재의 가장 단점인 잔류신도, 저수축현상, stiff감을 보완하면서 고속방사소재의 장점인 심색성을 부각시켜 차별화된 복합사 제조기술을 개발하기 위해 그 기술개발이 기초 연구로서 일반 일반 DTY사와 고속방사소재인 HOY사를 이용한 DTY사의 물성 및 염색 특성을 비교분석 하고자 한다.

• The Journal of the Korea Contents Association
• /
• v.18 no.2
• /
• pp.290-300
• /
• 2018

The point of discovering a new technique using colored glass and clay is to improve the existing inconveniences, which is compatible with the mutual physical property of ceramics clay and glass. It is easy to express the decoration of colored glass in vertical ceramics, but the aesthetic expression is limited due to the rust flowing down on horizontal ceramics. So the point is the discovery of a new expressive method that do not melt down in vertical objects. A new technique is to crush finely and dilute the colored glass using clay, and brushing it to the wall. Additionally, inlaid technique and paste brush technique were applied to further enhance aesthetic end. The plastic method is oxidation and reduction, and the coloration was different due to the plasticity method. Particularly, partial cutting of engraved color glass leads to forming gray-line soft gradation. This effect will be good to apply to production of work and industrial ceramics.

• Journal of Distribution Research
• /
• v.6 no.2
• /
• pp.91-108
• /
• 2002

While a lot of research has been done in the area of the B2C e-commerce, heavily on the Internet shopping, a study on the B2B e-commerce has not been improved enough to be competitive for its importance and practical use. We have studied to build an effective database, attempting to complement and further replace in the long term the off-line distribution channel which has yet to be fully evolve with respect to effectiveness and efficiency. For the building of the effective database, we have gathered information from the related institutions and characterized a fishery channel, and surveyed existing literatures and consumers for deriving factors affecting their purchase intentions and satisfactions. Based upon this survey we constructed the entity-relationship diagram(ERD) which possibly provided some perspectives for the future application. This study focuses on the improvement in the distributional efficiency not only minimizing the intra-organizational conflict and resistance but also maximizing the role function of each party of the organization.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.1
• /
• pp.459-466
• /
• 2011

In this paper, we proposed a data mining framework for the management of alerts in order to improve the performance of the intrusion detection systems. The proposed alert data mining framework performs alert correlation analysis by using mining tasks such as axis-based association rule, axis-based frequent episodes and order-based clustering. It also provides the capability of classify false alarms in order to reduce false alarms. We also analyzed the characteristics of the proposed system through the implementation and evaluation of the proposed system. The proposed alert data mining framework performs not only the alert correlation analysis but also the false alarm classification. The alert data mining framework can find out the unknown patterns of the alerts. It also can be applied to predict attacks in progress and to understand logical steps and strategies behind series of attacks using sequences of clusters and to classify false alerts from intrusion detection system. The final rules that were generated by alert data mining framework can be used to the real time response of the intrusion detection system.

• Journal of KIISE:Software and Applications
• /
• v.27 no.4
• /
• pp.315-326
• /
• 2000

As Internet is being widely used as an infra of distributed applications, the most of today's softwares are changing into Internet-based distributed applications. The development methods using the middleware, like CORBA ORB, make the development of the web-based software easy. However, the performance verification method useful for an optimized software distribution is not provided at software development. Additionally, monitoring methods and metrics for dynamic load-balancing are not presented at run-time. This paper presents the method to monitor the message between objects, load metric, and metrics for load-balancing. To calculate a load of a node, we define events occurred between applications, time between the events, then extract the data related to a load. And we derive formula calculating the load from the extracted data. Then using the formula, we present the metrics for dynamic load-balancing. Moreover, we observe the utilization and efficiency of the monitoring algorithm, load metric, and load-balancing metrics.

• Journal of KIISE:Software and Applications
• /
• v.30 no.7_8
• /
• pp.703-712
• /
• 2003

With the explosive growth n the numbers and sizes of imaging technologies, Content-Based Image Retrieval (CBIR) has been attacked the interests of researchers in the fields of digital libraries, image processing, and database systems. In general, in the case of query-by-image, in user has to select an image from database to query, even though it is not his completely desired one. However, since query-by-sketch approach draws a query shape according to the user´s desire it can provide more high-level searching interface to the user compared to the query-b-image. As a result, query-by-sketch has been widely used. In this paper, we propose a Java-based image retrieval system that consists of sketch query and image classification. We use two features such as color histogram and Haar wavelets coefficients to search similar images. Then the Leave-One-Out method is used to classify database images. The categories of classification are photo & painting, city & nature, and sub-classification of nature image. By using the sketch query and image classification, w can offer convenient image retrieval interface to user and we can also reduce the searching time.

• Journal of KIISE:Software and Applications
• /
• v.30 no.3_4
• /
• pp.268-277
• /
• 2003

A document type definition(DTD) which defines tags for a document is a XML document grammar that defines syntactic structure of a document. An XML document keeps the rules and must be parsed to check validation. To parse XML document, the deterministic parsing method of programming language is irrelevant because it does not satisfy the definition of deterministic content model in element declaration. In this paper, we consider editing of a valid XML document in syntax-directed editing environment, and we suggest the internal storage representations of syntax in DTD and theirs algorithms. The consequence is that a syntactic structure of textual DTD is transformed into graph and table structures. The table structure of DTD is interpreted the context free grammar which has attribute values and is used in syntax-directed editor for XML. We called this the XML abstract grammar and showed generated results and examples.

• Journal of KIISE:Software and Applications
• /
• v.35 no.3
• /
• pp.189-196
• /
• 2008

To build autonomous agents who can make a decision on behalf of humans in time-critical complex environments, the formulation of operational knowledge base could be essential. This paper proposes the methodology of how to formulate the knowledge base and evaluates it in a practical application domain. We analyze threat data received from the multiple sensors of Aircraft Survivability Equipment(ASE) for Korean helicopters, and integrate the threat data into the inductive model through compilation technique which extracts features of the threat data and relations among them. The compiled protocols of state-action rules can be implemented as the brain of the ASE. They can reduce the amounts of reasoning, and endow the autonomous agents with reactivity and flexibility. We report experimental results that demonstrate the distinctive and predictive patterns of threats in simulated battlefield settings, and show the potential of compilation methods for the successful detection of threat systems.

• The Journal of the Korea Contents Association
• /
• v.20 no.9
• /
• pp.439-447
• /
• 2020

Public data refers to all data or information created by public institutions, and public information that leads to communication and cooperation among all people. Public data is an important method to lead the next generation of new industries such as artificial intelligence and smart cities, Korea is continuously ranked high in the international evaluation related to public data. However, despite the continuous efforts, the use of public data or industrial influence is insufficient. Quality issues are continuously discussed in the use of public data, but the criteria for quantitatively evaluating data are insufficient. This paper reviews indicators for public data quality evaluation and performs quantitative evaluation on selected public data. In particular, the quality of open standard data constructed and opened based on public data management guidelines is examined to determine whether government guidelines are appropriate. The data quality assessment includes the metadata and data values of open standard data, and is reviewed based on completeness and accuracy indicators. Based on the data analysis results, this paper proposes policy and technical measures for quality improvement.