• The Journal of the Korea Contents Association
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• v.14 no.3
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• pp.22-32
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• 2014

Recently, GPGPU has been widely used for general-purpose processing as well as graphics processing by providing optimized hardware for parallel processing. Memory system has big effects on the performance of parallel processing units such as GPU. In the GPU, hierarchical memory architecture is implemented for high memory bandwidth. Moreover, both memory address coalescing and memory request merging techniques are widely used. This paper analyzes the GPU performance according to various memory organizations. According to our simulation results, GPU performance improves by 15.5%, 21.5%, 25.5%, 30.9% as adding 8KB L1, 16KB L1, 32KB L1, 64KB L1 cache, respectively, compared to case without L1 cache. However, experimental results show that some benchmarks decrease performance since memory transaction increases due to data dependency. Moreover, average memory access latency is increased as the depth of hierarchical cache level increases when cache miss occurs significantly.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2002.11a
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• pp.213-234
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• 2002

우리 나라는 70년대까지 광업은 부흥하였으나, 그 이후 급속히 위축되면서 80년대 이후 거의 대부분 광산들이 폐광 또는 휴광된 실정이다. 그 결과 현재 전국 각지에 다수의 폐갱도가 존재하게 되었으며, 이제는 지반침하 및 각종 침출수의 원인자로 간주될 정도이다. 최근 지자체에서는 이런 폐갱도를 지역 자원으로서 가치를 인정하고 지역 활성화를 위해 재 이용하려는 움직임이 보이고 있는데, 구체적으로는 관광시설, 연구시설, 농업생산시설, 저장시설, 폐기물처리시설 등이다. 일본은 폐광된 금속광산 재활용을 위해 입지여건과 주변지역, 입갱 가능성 등 기초조사를 하였다. 조사결과 폐갱도의 문제점으로 입갱이 가능한 광산이 적다는 점을 들 수 있다. 대부분의 광산은 갱구가 함몰되었거나, 갱내에 지하수가 차 있어 접근이 불가능한 경우가 대부분이다. 비교적 양호한 암반 경우는 서브 레벨 스토핑, 잔주, 주방식 등의 채굴법에 의해 대규모 공동이 잔존하고 있는 경우도 있지만 그리 많지 않았다. 폐광된 광산 재활용 여건은 우리 나라와 일본이 대동소이 경우로 현실적으로 활용이 가능한 폐광은 많지 않으며 활용코자 할 때에는 기존갱도를 활용하면서 암반이 견고한 곳에 새로운 갱도를 설치하여야 한다. 그러나 몇몇 곳에서는 매우 유용하게 잘 활용되고 있는 곳도 있고, 연구 검토하면 충분한 활용성이 있다고 생각되는 곳도 있다. 그러므로 현재의 상황을 보고 판단할 것이 아니라, 활용기술과 접목해서 활용성을 검토함으로써 불용 자산의 유용화 방안이 검토되어야 할 것이다. 현재 가행중인 광산은 입지여건 및 암반이 양호하고, 대형갱도를 굴착하는 석회석광산 등을 선택하여 폐광 후 활용이 가능토록 채광기술 발전시켜 나가야 하며, 인간 중심적인 시설 또는 산물 중심적인 시설로 구분하여 폐광 후 복구비용을 우선 지원하는 방식 등을 통하여 시추, 탐광굴진, 현대화, 수갱굴착, 자금융자 등을 지원하는 우리 공사와 산업자원부가 지자체, 산림청, 건교부, 농림부 등과 연계하여 종합적인 지원육성책을 마련하여야 할 것이다. 결과적으로, 지방자치단체 등에서 관심을 갖고 있는 저장시설, 폐기물처리시설, 관광시설, 농업생산시설, 연구시설 등을 중심으로 ＆apos;광산 채굴적을 미래에 어떻게 활용한 것인가＆apos;를 선진외국 사례를 벤치마킹하고, 연구ㆍ검토하여 친환경적인 광산개발이 되도록 기본적인 방향과 개념을 갖도록 하여 관련 정책을 계획적이고, 체계적으로 수립 일관성 있게 추진해 나가야 할 것이다.

• The Journal of the Acoustical Society of Korea
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• v.25 no.2
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• pp.49-55
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• 2006

Measurement of impact sound insulation of floor, by current Korean Standard KS F 2810-2. is to be made with peak levels over 4 point in a receiving room. But it is often the case that there is inconsistency in results at various receiving points in the receiving room. Such variations obviously have effects on the repeatability and reproducibility of measured data. The result shows that there are even 10 dB deviations in 63Hz octave band frequency range and relatively less variations are occurred in other low frequency ranges. Such variations seems to be coming from modal overlaps of the receiving room. According to current rating method of floor impact sound. KS F 2863-2, that may affect on the single number latins scheme. From the result of tests in this study, there are 2dB to 6dB differences in the sin91e number with the combination of measurement points. This means that the reduction of measurement variations from the microphone positions is needed for a better credibility of measurement results.

• Journal of Advanced Navigation Technology
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• v.14 no.1
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• pp.108-118
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• 2010

In this paper, we propose Context-based Music Recommendation (COMUS) ontology for modeling user's musical preferences and context and for supporting reasoning about the user's desired emotion and preferences. The COMUS provides an upper Music Ontology that captures concepts about the general properties of music such as title, artists and genre and also provides extensibility for adding domain-specific ontologies, such as Mood and Situation, in a hierarchical manner. The COMUS is music dedicated ontology in OWL constructed by incorporating domain specific classes for music recommendation into the Music Ontology. Using this context ontology, we believe that the use of logical reasoning by checking the consistency of context information, and reasoning over the high-level, implicit context from the low-level, explicit information. As a novelty, our ontology can express detailed and complicated relations among the music, moods and situations, enabling users to find appropriate music for the application. We present some of the experiments we performed as a case-study for music recommendation.

• Journal of the Korea Institute of Building Construction
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• v.17 no.1
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• pp.83-90
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• 2017

Recently, BIM has been actively adopted in construction projects and industries, and also integrated with Information and Communications Technology(ICT) such as cloud computing technology, sensor technology, 3D scanning and printing technology etc. However, it is very difficult to efficiently utilize BIM services, technologies and collaborate with each other because of differences of usage and requirements of technologies. Every participant in the same construction project has their own needs, requirements and details of the model in each phase. In order to enhance utilization BIM model, BIM services and technologies required in their project have to be clearly defined in the initial stage of the project. In order to support the owner to define the BIM level, BIM service level and application technologies are identified and guidelines how to define the level and technologies for their project purpose are suggested in this study.

• The Transactions of the Korea Information Processing Society
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• v.4 no.3
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• pp.659-669
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• 1997

Security as weel as consistency of data is very important issue in databaed security.This the serializability of transactions must be maintained and particularly covert channel not caesed between a high-level transaction and a low- level one.In this paper, we propose a secure transaction management algorithm using synamic version control] method that can slove disk space overhead to maintain multiversion and the problem that reansactions read too old versions when two versions are maintained.Disk space overhead can be sloved by properly cerating versions and synamically maintaining the number of versions and the problem for reading too old version can be solved by having transactions read versions as recent as possible.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.2
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• pp.129-140
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• 2006

The existing CBD development methods deal with the analysis phase in a superficial manner. Applying such a superficial analysis to business applications with a number of subsystems makes analysis models be inconsistent with levels and styles, only depending on experiences of the analysts. This inconsistent analysis might cause more serious problems during the subsequent development phases, resulting in the failure of the projects. In this paper, we propose a rule-based analysis pattern that provides an analysis template for business applications. This pattern analyzes the concepts of business applications by using external events and internal rules that process the events. Employing this pattern, a huge business application can be developed by a couple of co-analysts who work together in a consistent and systematic manner. This paper also describes an efficient way to develop business components with the suggested analysis pattern using banking deposit case study through UML Components development process.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.807-811
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• 2007

In this paper, we introduce an application virtualization method that could be supported without changing and modifying any resources and execution environment on host system, using non-installable portable software format that could be executed by one-click on any host without installing process. For the purpose of designing and implementing an application virtualization method, we construct virtual supporting system that includes virtual file system and virtual registry hive on kernel level of Windows operating system. Also, when users execute portable software on any hosts to provide consistency on using portable software, we describe method of processing information of appending and modifying files and registry datum on virtual file system and virtual registry hive through Copy-on-Write scheme.

• Journal of KIISE:Databases
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• v.34 no.6
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• pp.493-502
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• 2007

Due to a growing interest in searching and expressing knowledge effectively, knowledge management methods such as Topic Map are becoming more important. Topic Map organizes knowledge that is full of intricate relations, so maintaining and managing Topic Map consistently is very essential. TMCL and other constraint languages have limits as they can check simple constraints but can not support complex constraints like dependence constraints. Current constraint checking systems operating at the application level are also showing an inferiority in performance. In this paper, we extend TMCL based on the characteristics of other constraint languages in the information system field and related fields. We build and propose an RDBMS-based Topic Map constraint checking system to support the extended constraint language effectively. This new system handles complex types of constraints like dependency constraint as well as basic Topic Map constraints present in the TMCL. As the system examines each constraint it uses templates to generate queries for effective checking and overall shows a higher performance level than current systems.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.2
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• pp.85-91
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• 2014

The objective of the research is to automatically recognize railway objects from MLS data in which 9 key objects including terrain, track, bed, vegetation, platform, barrier, posts, attachments, powerlines are targeted. The proposed method can be divided into two main sub-steps. First, multi-scale contextual features are extracted to take the advantage of characterizing objects of interest from different geometric levels such as point, line, volumetric and vertical profile. Second, by considering contextual interactions amongst object labels, a contextual classifier is utilized to make a prediction with local coherence. In here, the Conditional Random Field (CRF) is used to incorporate the object context. By maximizing the object label agreement in the local neighborhood, CRF model could compensate the local inconsistency prediction resulting from other local classifiers. The performance of proposed method was evaluated based on the analysis of commission and omission error and shows promising results for the practical use.