• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1078-1080
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• 2013

본 논문에서는 5.1 채널 입체 음향 오디오 신호를 2채널의 헤드폰으로 재생하기 위해 사용하는 HRTF(Head-related transfer funcion) DB를 다룬다. 다양한 HRTF DB의 사례를 분석하고, 이를 통해서 더 나은 HRTF DB를 설계 한다. 기존의 HRTF DB에 Audio Meta data를 이용하여 파일의 정보를 저장하고, 이를 DB에 저장함으로써 Meta data를 비교 검색하고 저장함으로써 편의성을 높인다. 또한 기존의 HRTF DB들이 오래 되고 현재의 시스템에 맞지 않기 때문에 이를 현재의 시스템에 맞게 Converting하고 UI를 3D로 구현함으로써 UX를 높이고 직관성을 개선함으로써 사용자 접근성을 높인다. 이를 통해서 HRTF DB의 범용성을 개선하고 관련 연구에 효율적으로 사용할 수 있게 될 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.361-364
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• 2012

Through USN (Ubiquitous Sensor Network) is collected the patient's vital information in real-time, also information collected will be stored in the DB (Date Base), frequent use hospital saved patient's vital information for DB. Stored in the patient's vital medical information stored in the patients with frequent hospital patient to hospital if the patient's vital information is stored in DB. But, stored location is within hospital server or stored in a PC environment, because If utilize other Hospital existing hospitals will need to request. However, Existing hospital have problem for security, authentication, management, cost, manpower, such as, because other hospitals and the exchange of information does not come easily. So, If has the advantage of the patient and the patient's vital information is stored on mobile devices that you can use as DB. It is important to find information quickly and accurately, in this study, Is A study on mobile circulation loop DB systems for patient-centered serbices.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.760-763
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• 2004

This work presents OLP system made independently in HSD for sub-assembly welding robot system set already and assembly welding robot system developed lately on the low speed diesel engines. This paper focuses on the DB module and the job creation based upon it. Also, It contains the welding history DB that saves the information of jobs executed after welding.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1452-1454
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• 2008

태그의 식별을 DB에 의뢰하는 것에 의존적인 RFID기반 시스템은 리더와 DB가 서로의 통신반경 밖에 있거나 기반 통신망이 없어 DB와 연결이 어려운 환경에서는 응용이 제한적이며, 정상적인 경우에도 병목현상의 가능성을 갖고 있다. 본 논문은 DB가 태그의 인증기능을 리더에게 대리 위임하여 자체적으로 인증을 수행할 수 있는 RFID인증프로토콜을 제안한다. 제안하는 기법은 DB와의 통신범위 제한에 비교적 자유롭고, 리더 자체적으로 태그인증이 가능하며, 부가적으로 DB의 연산부하를 경감시킬 수 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.567-574
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• 2015

In this paper, a 50ns 256-kb EEPROM IP for MCU (micro controller unit) ICs is designed. The speed of data sensing is increased in the read mode by using a proposed DB sensing circuit of differential amplifier type which uses the reference voltage, and the switching speed is also increased by reducing the total DB parasitic capacitance as a distributed DB structure is separated into eight. Also, the access time is reduced reducing a precharging time of BL in the read mode removing a 5V NMOS transistor in the conventional RD switch, and the reliability of output data can be secured by obtaining the differential voltage (${\Delta}V$) between the DB and the reference voltages as 0.2*VDD. The access time of the designed 256-kb EEPROM IP is 45.8ns and the layout size is $1571.625{\mu}m{\times}798.540{\mu}m$ based on MagnaChip's $0.18{\mu}m$ EEPROM process.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.141-144
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• 2005

J2EE 환경 기반의 IBM DB2 for z/OS 데이터 베이스를 적용한 어플리케이션에서 성능이 상대적으로 저하되는 문제가 발생 하였다. 즉, J2EE (Java 2, Enterprise Edition) 환경에서 동일한 어플리케이션을 Unix 서버의 오라클 데이터 베이스와 IBM DB2에 적용하여 비교한 결과 DB2부문에 대한 TPS가 작고 Transaction Elapsed Time이 오래 걸리며 CPU Utilization이 낮았다. 이러한 초기 결과값을 Baseline으로 설정하여 DB2를 데이터 베이스 서버로 사용하는 경우 어플리케이션의 성능을 개선 하기 위한 요소를 도출하고 성능 향상을 위한 조정 작업을 통해 DB2의 성능을 개선했다.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.32-43
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• 2014

To identify major causes of the global environment changes arising from extreme and unusual weather patterns occurring these days, and to foresee future environmental changes, it is highly important to shed light on the correlation between climate changes and global environment system. To investigate the correlation between climate changes and global environment system, it calls for establishing an integrated climate-environment DB for analyzing comparatively the data on climatic changes and global environment system. In the preceding studies, we researched an XML-based integrated climate-environment DB and developed a management system for the DB. However, the existing integrated climate-environment DB, designed and installed only for individual PCs, does not allow multiple users 'simultaneous access. Accordingly, it fails to systematically update and sharing data which is being generated continuingly. Hence, this study aims to develop an easy-to-use GIS-based integrated DB management system by improving the existing integrated climate-environment DB through the adoption of the client/server model. For this, this study collected and analyzed climate and environment data prior to designing and building a DBMS-based integrated DB. In addition, in order for multidisciplinary researchers to easily get access and apply the integrated DB, this study designed and developed a GIS-based integrated DB management system using a client/server model which facilitates connections with multiple PCs. The GIS-based integrated climate-environment DB management system makes it easier to efficiently manage and locate scattered climate-environment data. It is also expected that the DB system will bring the effects in saving time and cost by avoiding the overlapping generation of data in the areas of integrated climate-environment research.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.622-625
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• 2014

As Big data began to produce a variety of values, a database that allows for huge amount of data with varieties became to be needed. Therefore, for the purpose of overcoming the limitations of the complexity and capacity of the existing RDBMS, NoSQL databases were introduced. Among the different types of NoSQL databases, MongoDB is most commonly used and is offered as open sources. The B-Tree index, used in MongoDB, experiences a significant decrease in performance as the amount of data increases. The fractal tree index enables to enhance the performance of B-Tree substantially by improving B-Tree's insertion algorithm. In this paper, the performances of MongoDB when using B-Tree Index and when using Fractal Tree Index are compared.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.13-21
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• 2011

Update of road facilities database such as road sign, traffic lights, and street lights is interesting business in a local government. Recently, existing road facilities database, aerial photo and topographic map are referred for the installation and complement of road facilities. But it is difficult to comprehend road facilities' condition and additional expenses may appear in field survey. Therefore, it is necessary to establish and update road facility DB and many studies has been carried out to efficiently collect road related spatial data. In this study, the establishment of various complicated road facility DB was conducted by images that had been obtained by digital camera with a built-in bluetooth and DGPS. Results showed that road facility DB was constructed effectively and suggested the possibility of road facility management using images based on coordinate through accuracy analyses using total-station surveying. And using digital camera and DGPS is expected to effective real-time update and management of road facility DB.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1615-1617
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• 2015

웹을 통한 데이터 공유에 대한 관심의 증가로 RDF 트리플 형태의 데이터가 폭발적으로 증가하고 있다. 대용량 RDF 데이터를 저장하고 빠른 SPARQL 질의 처리를 지원하는 트리플 저장소의 개발이 중요하다. 아파치 프로젝트 중 하나인 Jena-TDB는 가장 잘 알려진 오픈소스 트리플 저장소 중 하나로서 Jena 프레임워크 기반으로 구현됐다. 하지만 Jena-TDB 의 경우 단일 컴퓨터에서 작동하기 때문에 대용량 RDF 데이터를 다룰 수 없다는 문제점이 있다. 본 논문에서는 MongoDB를 활용한 Jena 프레임워크 기반의 트리플 저장소인 Jena-MongoDB를 제안한다. Jena 프레임워크를 사용했기 때문에 기존 Jena-TDB와 동일한 인터페이스로 사용할 수 있고 최신 표준 SPARQL 문법도 지원한다. 또한 MongoDB를 사용했기 때문에 분산환경에서도 작동할 수 있다. 대용량 LUBM 데이터셋에 대한 SPARQL 질의 처리 실험결과 Jena-MongoDB가 Jena-TDB 보다 빠른 질의 응답 속도를 보여줬다.