• Title/Summary/Keyword: 베이스

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A 3-Layered Information Integration System based on MDRs End Ontology (MDR과 온톨로지를 결합한 3계층 정보 통합 시스템)

  • Baik, Doo-Kwon;Choi, Yo-Han;Park, Sung-Kong;Lee, Jeong-Oog;Jeong, Dong-Won
    • The KIPS Transactions:PartD
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    • v.10D no.2
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    • pp.247-260
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    • 2003
  • To share and standardize information, especially in the database environments, MDR (Metadata Registry) can be used to integrate various heterogeneous databases within a particular domain. But due to the discrepancies of data element representation between organizations, global information integration is not so easy. And users who are searching integrated information on the Web have limitation to obtain schema information for the underlying source databases. To solve those problems, in this paper, we present a 3-layered Information Integration System (LI2S) based on MDRs and Ontology. The purpose of proposed architecture is to define information integration model, which combine both of the nature of MDRs standard specification and functionality of ontology for the concept and relation. Adopting agent technology to the proposed model plays a key role to support the hierarchical and independent information integration architecture. Ontology is used as for a role of semantic network from which it extracts concept from the user query and the establishment of relationship between MDRs for the data element. (MDR and Knowledge Base are used as for the solution of discrepancies of data element representation between MDRs. Based on this architectural concept, LI2S was designed and implemented.

인터넷 질의 처리를 위한 웨이블릿 변환에 기반한 통합 요약정보의 관리

  • Joe, Moon-Jeung;Whang, Kyu-Young;Kim, Sang-Wook;Shim, Kyu-Seok
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.702-714
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    • 2001
  • As Internet technology evolves, there is growing need of Internet queries involving multiple information sources. Efficient processing of such queries necessitates the integrated summary data that compactly represents the data distribution of the entire database scattered over many information sources. This paper presents an efficient method of managing the integrated summary data based on the wavelet transform and addresses Internet query processing using the integrated summary data. The simplest method for creating the integrated summary data would be to summarize the integrated data sidtribution obtained by merging the data distributions in multiple information sources. However, this method suffers from the high cost of transmitting storing and merging a large amount of data distribution. To overcome the drawbacks, we propose a new wavelet transform based method that creates the integrated summary data by merging multiple summary data and effective method for optimizing Internet queries using it A wavelet transformed summary data is converted to satisfy conditions for merging. Moreover i the merging process is very simpe owing to the properties of the wavelet transform. we formally derive the upper bound of the error of the wavelet transformed intergrated summary data. Compared with the histogram-based integrated summary data the wavelet transformedintegrated summary data provesto be 1.6~5.5 time more accurate when used for selectivity estimation in experiments. In processing Internet top-N queries involving 56 information sources using the integrated summary data reduces the processing cost to 1/44 of the cost of not using it.

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Effective Reference Probability Incorporating the Effect of Expiration Time in Web Cache (웹 캐쉬에서 만기시간의 영향을 고려한 유효참조확률)

  • Lee, Jeong-Joon;Moon, Yang-Se;Whang, Kyu-Young;Hong, Eui-Kyung
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.688-701
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    • 2001
  • Web caching has become an important problem addressing the performance issues in web applications. In this paper we propose a method that enhances the performance of web caching by incorporating the expiration time of web data we introduce the notion of the effective reference probability that incorporates the effect of expiration time into the reference probability used in the existing cache replacement algorithms .We formally define the effective reference probability and derive it theoretically using a probabilistic model. By simply replacing probabilities with the effective reference probability in the existing cache replacement algorithms we can take the effect of expiration time into account The results of performance evaluation through experiments show that the replacement algorithms using the effective reference probability always outperform the existing ones. The reason is that the proposed method precisely reflects the theoretical probability of getting the cache effect, and thus, incorporates the influence of the expiration time more effectively. In particular when the cache fraction is 0.05 and data update is comparatively frequent (i.e. the update frequency is more than 1/0 of the reference frequency) the performance enhancement is more than 30% in LRU-2 and 13% in Aggarwal's method (PSS integrating a refresh overhead factor) The results show that effective reference probability contributes significantly to the performance enhancement of the web cache in the presence of expiration time.

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Monitoring Vegetation Phenology Using MODIS in Northern Plateau Region, North Korea (MODIS자료를 이용한 북한 개마고원 및 백무고원 식생의 생물계절 모니터링)

  • Cha, Su-Young;Seo, Dong-Jo;Park, Chong-Hwa
    • Korean Journal of Remote Sensing
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    • v.25 no.5
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    • pp.399-409
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    • 2009
  • Many researches have shown that NDVI provides a potential methods to derive meaningful metrics that describe ecosystem functions. In this paper we investigated the use of the MODIS NDVI (Normalized Difference Vegetation Index) to monitor vegetation phenology dynamics of Northern plateau region, North Korea, during last 9-years (2000~2008). The findings of this paper can be summarized as follows. First, the length of growing season ranged from a low of 128 days in 2003 to a high of 176 days in 2000 and 2005. On the average of the last 9 years, the highest NDVI of 0.86 was marked on 28 July. Greenup onset occurs at the start of May, while the senescence begins between late September and October. Second, these annual vegetation cycles were compared with Seorak and Jiri Mountain regions of South Korea which have similar vegetation condition. Greenup onsets in South Korea were observed earlier than those of North Korea and the average time lag between the South and North Korea in Greenup was about 16 days which is a time-resolution of remotely sensed data. Sub-alpine conifers of such areas may be severely affected by the large of phenological characteristics due to the global warming trend.

An Efficient Inter-Prediction Hardware Design for the H.264/AVC Decoder (H.264/AVC 디코더를 위한 효율적인 인터 예측 하드웨어 구조 설계)

  • Jin, Xianzhe;Ryoo, Kwangki
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.112-115
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    • 2009
  • Inter-Prediction is always the main bottleneck in H.264/AVC Baseline Profile. This paper describes an efficient Inter-Prediction hardware architecture design. H.264/AVC decoder supports various block types such as $16{\times}16$, $16{\times}8$, $8{\times}16$, $8{\times}8$, $8{\times}4$, $4{\times}8$, $4{\times}4$ block types. Reference Software(JM) only considers the $4{\times}4$ block type when the reference block is being fetched. This causes duplicated pixels which needs extra fetch cycles. In order to eliminate some of the duplicated pixels, the $8{\times}8$ and $4{\times}4$ block types were considered in the previous design. If the block size is larger than or equal to the $8{\times}8$ block type, it will be separated into several $8{\times}8$ block types and if the block size is smaller than the $8{\times}8$ block type it will be separated into several $4{\times}4$ blocks. For further reduction of the fetch cycles, the various block types are considered in this paper. As a result, the maximum cycle reduction percentage is 18.6% comparing with the previous design.

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Frequency Dependency of Electrical Property Stabilization during Vulcanization of Modified NR/IR Blends (개질된 NR/IR 블랜드의 가황 반응에서 나타나는 전기적 특성 안정화의 주파수 의존성)

  • Ahn, Won-Sool
    • Elastomers and Composites
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    • v.39 no.3
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    • pp.179-185
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    • 2004
  • Frequency dependency or electrical property stabilization during vulcanization of modified NR/IR composite materials was studied using in-situ electrical property measuring technique. Volume resistivity(p) before and after vulcanization reaction of the sample was measured as the function or frequency in the range or 1Hz to 10kHz at reaction temperatures of 130, 140, 150, and $160^{\circ}C$, respectively. A double stabilization mode of frequency dependency was observed, in which a slow stabilization process of p to a value of ca. $1.0{\times}10^7\;{\Omega}-cm$ occurred after a drastic initial decrease from ca. $9.0{\times}10^7\;{\Omega}-cm$. In addition, notable temperature dependencies of p values were also observed before and after vulcanization reaction, that is, p values at 130 and $140^{\circ}C$ after vulcanization were observed as about 1/3 of those values before vulcanization. All the observed facts were considered as the results from the interaction between the electrode and the bulk sample materials, i.e., electronic charge-discharge, and from the structure change of samples including CB rearrangement by the vulcanization.

The Stocks Profit Rate Analysis which Uses Individual.Engine.foreigner.Knowledge Base HTS at The Bear Period.The Bear Wave Period.The Bull Period.The Bull Wave Period (하락기.하락조정기.상승기.상승조정기에 개인.기관.외국인.Knowledge Base HTS를 이용한 주식 수익률 분석)

  • Yi, Jeong-Hoon;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.1
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    • pp.207-217
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    • 2010
  • It is taken a violent fall of the international stocks market that was an American Subprime Mortgage Situation. The loss rate of individual investor judged than foreigner and institution by bigger thing. Therefore, further scientific and mechanical investment is needed at the stock investment using Internet HTS. This dissertation is stocks profit rate analysis which uses individual engine foreigner Knowledge Base HTS at the Bear Period the Bear Wave Period the Bull Period the Bull Wave Period. Knowledge Based e-friend HTS was Installed. HTS does composite stock exchange index in actuality stock trading and engine's fund earning rate, yield that is abroad comparative analysis using trend line that is HTS tool, MACD, Bollinger Bands, Stochastic slow's function. Usually, each subjects suppose that deal 5 stocks, and comparative study of the profit(loss)rate of the down to earth falling rate and rising rate, by comparing the earning rate of 5 Small capital stocks with 5 medium capital stocks and 5 Large capital stocks during the bear period, the bear wave period, the bull period, the bull wave period has meaning at the making research of the financial IT field.

Fuzzy Inference System Architecture for Customer Satisfaction Service (고객 만족 서비스를 위한 퍼지 추론 시스템 구조)

  • Kwon, Hee-Chul;Yoo, Jung-Sang
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.1
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    • pp.219-226
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    • 2010
  • Recently most parking control systems provide customers with various services, but most of the services are just the extension of parking spaces, automatic parking control system and so on. It is essential to use the satisfaction degree as the extent that customer are satisfied with parking control system to improve the quality of the system services and diversify the system services. The degree of satisfaction is different from customer to customer in same condition and can be represented as linguistic variables. In this paper, we present therefore a technique that quantify how much customer are satisfied with parking control system and fuzzy inference system architecture as a solution that can help us to make a efficient decision for these parking problems. In this architecture, inference engine using fuzzy logic compares context data with the rules in the fuzzy rule-based system, gets the sub-results, aggregates them and defuzzifies the aggregated result using MATLAB application programming to obtain crisp value. Fuzzy inference system architecture presented in this paper, can be used as a efficient method to analyze the satisfaction degree which is represented as fuzzy linguistic variables by human emotion. And it can be used to improve the satisfaction degree of not only parking system but also other service systems of various domains.

Development of forest carbon optimization program using simulated annealing heuristic algorithm (Simulated Annealing 휴리스틱 기법을 이용한 임분탄소 최적화 프로그램의 개발)

  • Jeon, Eo-Jin;Kim, Young-Hwan;Park, Ji-Hoon;Kim, Man-Pil
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.12
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    • pp.197-205
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    • 2013
  • In this study, we developed a program of optimizing stand-level carbon stock using a stand-level yield model and the Simulated Annealing (SA) heuristic method to derive a optimized forest treatment solution. The SA is one of the heuristic algorithms that can provide a desirable management solution when dealing with various management purposes. The SA heuristic algorithm applied 'thermal equilibrium test', a thresholds approach to solve the phenomenon that does not find an optimum solution and stays at a local optimum value during the process. We conducted a sensitivity test for the temperature reduction rate, the major parameter of the thermal equilibrium test, to analyze its influence on the objective function value and the total iteration of the optimization process. Using the developed program, three scenarios were compared: a common treatment in forestry (baseline), the optimized solution of maximizing the amount of harvest(alternative 1), and the optimized solution of maximizing the amount of carbon stocks(alternative 2). As the results, we found that the alternative 1 showed provide acceptable solutions for the objectives. From the sensitivity test, we found that the objective function value and the total iteration of the process can be significantly influenced by the temperature reduction rate. The developed program will be practically used for optimizing stand-level carbon stock and developing optimized treatment solutions.

The Influence of Beauty Influencer's Characteristics on Makeup Behavior and Color Cosmetics Purchase Intentionin Young Female Consumers aged 20-30s (뷰티 인플루언서 특성이 20-30대 여성 소비자의 메이크업행동 및 색조화장품 구매의도에 미치는 영향)

  • Park, A-Reum;Lee, Jae-Nam
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.4
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    • pp.1093-1106
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    • 2021
  • This study attempted to investigate the influence of a beauty influencer's characteristics on makeup behavior and color cosmetics purchase intention against young female consumers in their 20-30s, who are a primary target for beauty influencer marketing. It aimed to provide basic data which are helpful in promoting marketing and expanding markets for color cosmetics through beauty influencers. For this, a questionnaire survey was conducted. Among a total of 563 questionnaires distributed across Seoul and capital region, 531 copies were used for final analysis, and the results found the followings: In terms of age, factors affecting beauty influencers' characteristics differed depending on reliability and expertise. Specifically, reliability and communicative competence had a positive effect(+) on all makeup behavior while expertise revealed a positive influence on base makeup only. In color cosmetics purchase intention, a positive effect was observed in reliability, communicative competence and attractiveness. In particular, reliability showed the largest influence. Therefore, there should be continued efforts to maintain a long-term relationship with consumers through communication based on beauty influencers' characteristics and by delivering more diverse makeup and color cosmetics-related information in an open and honest fashion.