• Journal of Digital Contents Society
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• v.15 no.4
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• pp.527-532
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• 2014

Recently, due to the proliferation of mobile smart devices, the inovation of bigdata, which analyzes and processes massive data collected from various sensors implaned in smart devices, expands to LBSs. Many location prediction techniques for moving objects have been studied in literature. However, as the majority of studies perform location prediction which depends on specific applications, they hardly reflect the technical requirements of next-generation spatio-temporal information services. Therefore, this paper proposes the design of general-purpose distributed moving object prediction query processing framework that is capable of performing primitive and various types of queries effectively based on massive spatio-temporal data of moving objects in real-world space networks.

• Journal of Internet Computing and Services
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• v.11 no.2
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• pp.31-40
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• 2010

In this paper, we propose a service component based on active model for supporting a variety of u-healthcare application services. It implemented that component as a classification of function for developing healthcare application services. Especially we focus on the adaptive information service in integrated environment using a distributed object technologies of the various healthcare home service based on distributed object group framework. And we shows the service component applying to Healthcare application services such as healthcare home monitoring, mobile monitoring and web based monitoring. Also, we show the performance evaluation results such as response time, system load and network load.

• Proceedings of the KSPS conference
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• 2006.05a
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• pp.37-40
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• 2006

In this paper, we propose a VQ codebook design of speech recognition feature parameters in order to improve the performance of a distributed speech recognition system. For the context-dependent HMMs, a VQ codebook should be correlated with phonetic distributions in the training data for HMMs. Thus, we focus on a selection method of training data based on phonetic distribution instead of using all the training data for an efficient VQ codebook design. From the speech recognition experiments using the Aurora 4 database, the distributed speech recognition system employing a VQ codebook designed by the proposed method reduced the word error rate (WER) by 10% when compared with that using a VQ codebook trained with the whole training data.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.6
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• pp.2883-2888
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• 2016

Background: Breast cancer (BC) is a serious lifestyle disease. There are several prognostic biomarkers like nuclear receptors whose over-expression is associated with BC characteristics. These biomarkers can be blocked by compounds with anti-cancer potential but selection must be made on the basis of no adverse side effects. This study is focused on finding of compounds from a plant source garlic. Materials and Methods: Twenty compounds from garlic and five targets considered involved in BC were retrieved from Pubchem database and Protein Data Bank respectively. They were docked using Accelrys Discovery Studio (DS) 4.0. The compounds which showed interaction were checked for drug likeliness. Results: Docking studies and ADMET evaluation revealed twelve compounds to be active against the targets. All the compounds displayed highly negative dock scores which indicated good interactions. Conclusions: The results of this study should help researchers and scientists in the pharmaceutical field to identify drugs based on garlic.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3182-3202
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• 2015

Flexibly expanding the storage capacity required to process a large amount of rapidly increasing unstructured log data is difficult in a conventional computing environment. In addition, implementing a log processing system providing features that categorize and analyze unstructured log data is extremely difficult. To overcome such limitations, we propose and design a MongoDB-based unstructured log processing system (MdbULPS) for collecting, categorizing, and analyzing log data generated from banks. The proposed system includes a Hadoop-based analysis module for reliable parallel-distributed processing of massive log data. Furthermore, because the Hadoop distributed file system (HDFS) stores data by generating replicas of collected log data in block units, the proposed system offers automatic system recovery against system failures and data loss. Finally, by establishing a distributed database using the NoSQL-based MongoDB, the proposed system provides methods of effectively processing unstructured log data. To evaluate the proposed system, we conducted three different performance tests on a local test bed including twelve nodes: comparing our system with a MySQL-based approach, comparing it with an Hbase-based approach, and changing the chunk size option. From the experiments, we found that our system showed better performance in processing unstructured log data.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.127-130
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• 2002

SyncML 은 데이터 동기화에 관한 개방형 업체 표준으로, 통신 프로토콜, 구동 장치 및 사용 응용과 무관한 동기 프로토콜을 제공하고, 동기 될 데이터의 형식에도 무관하게 동작하도록 정의되었다. 최근 들어 이러한 특징은 기업 데이터의 동기화 서비스를 제공하는 도구로 관심 받기 시작하였다. 대부분의 기업 응용은 데이터베이스를 기반으로 수행되기 때문에 데이터베이스 정보의 동기 기능이 중요한 요소이다. 이런 이유로 최근에 개발되는 대부분의 SyncML 엔진은 데이터베이스 동기 기능을 갖추고 있다. SyncML 을 이용한 데이터베이스 동기 기능을 제공하기 위해서는 데이터베이스 내에 발생되는 갱신 정보를 SyncML 동기 장치에 전달할 필요가 있다. 이를 위해, 데이터베이스를 갱신하는 응용을 수정할 필요성이 발생하였다. 그러나 데이터베이스의 경우 다수의 응용이 동일한 데이터베이스를 접근하여 갱신하는 경우가 많아, 이런 모든 응용을 수정하는 방법은 비현실적이다. 현재 개발된 대부분의 제품은 이러한 문제점을 갖고 있다. MoIM-SyncML 은 SyncML 표준 규격을 기반으로 개발된 동기 엔진으로, 트리거와 뷰를 이용하여 기존 데이터베이스 응용의 수정 없이 데이터베이스 갱신 정보를 수집하는 것이 가능하도록 설계되었다. 본 논문에서는 트리거와 뷰를 이용하여 데이터베이스에 발생하는 갱신 정보를 수집하는 기법에 대해 설명한다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.406-408
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• 2004

To develop enterprise architecture based distributed application needs consideration of various factors such as division of role between web-designer and software developer, defining entity and its usage, database connection and transaction processing. This paper presents DONSL(Data Server of Non SQL-Query) architecture that provides solution to above aspects through web-tier object modeling guaranteeing efficient transaction processing and performance between web-tier and 08MS through simplified usage of query logic property.

• Journal of the Korea Society of Computer and Information
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• v.6 no.2
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• pp.34-40
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• 2001

This thesis shows that the edge-chasing deadlock detection algorithm of Choudhary fails to remove the existing deadlocks after committing the transaction whose priority is lowest on the transaction wait-fer path. A modified algorithm that solves this problem is proposed.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.04a
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• pp.311-314
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• 2000

분자 생물학의 발전염기서열, 단백질 서열, 지놈 서열 등의 서열데이터베이스와 단백질 3차구조를 제공하는 구조 데이터베이스등이 구축되어서 웹을 통해 많은 정보를 제공하고 있다. 전세계적으로 분산되어 있는 다양한 생물정보 데이터베이스의 효율적인 검색을 위해서 통합 검색 시스템의 개발이 필요하다. 이 논문에서는 전세계의 생물정보 데이터베이스의 개발 현황을 보이고 분산되어 있는 생물정보데이터베이스로부터 통합검색을 위한 생물정보 통합검색시스템(GenPlus)를 제안하였다. 제안한 GenPlus 에서는 염기 서열, 단백질서열, 그리고 키워드를 이용한 서열정보, 구조정보,완전한 지놈 정보, 그리고 문헌정보의 통합 검색을 제공한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.70-72
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• 2003

응용프로그램사이에 데이터의 이동을 위한 형식으로 XML이 사용되고 있다. XSL 또한 웹 브라우저에서 XML 데이터를 보여주고, 응용프로그램에서 데이터를 제거하거나 추가하기 위한 표준이 되었다. 본 논문에서는 분산 서버의 관계형 데이터베이스의 성능정보를 보이기 위해 DTD를 생성하고, 데이터를 XML형식으로 변환하여, 차트나 그래프로 XSL을 이용하여 보여주는 방법을 제안한다.