• Journal of KIISE:Software and Applications
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• v.27 no.1
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• pp.84-95
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• 2000

In this paper, we propose an integrated indexing method with compound noun segmentation and noun phrase synthesis. Statistical information is used in the compound noun segmentation and natural language processing techniques are carefully utilized in the noun phrase synthesis. Firstly, we choose index terms from simple words through morphological analysis and part-of-speech tagging results. Secondly, noun phrases are automatically synthesized from the syntactic analysis results. If syntactic analysis fails, only morphological analysis and tagging results are applied. Thirdly, we select compound nouns from the tagging results and then segment and re-synthesize them using statistical information. In this way, segmented and synthesized terms are used together as index terms to supplement the single terms. We demonstrate the effectiveness of the proposed integrated indexing method for Korean compound noun processing using KTSET2.0 and KRIST SET which are a standard test collection for Korean information retrieval.

• Journal of KIISE:Information Networking
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• v.30 no.3
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• pp.343-354
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• 2003

This paper describes algorithm that minimizes recovery time of packet loss resulting from handoff in multicast environments and guarantees reliability through interaction of FN(Foreign Network) with PMTP(Predictable Multicast Tree Protocol). To solve the problems that inefficient routing and handoff delay taking plate when using hi-directional tunneling and remote subscription independently in multicast environments, proposed algorithm uses tunneling and rejoining multicast group according to the status of an arriving FA in a foreign network. Furthermore, proposed algorithm sends packet loss information and register message to previous FA or current FA at the same time. so, MH is able to recovery packet loss in handoff delay as soon as possible. As a result of performance analysis, proposed algorithm is more efficient than previous researches and is applicable to existing handoff method without requiring additional procedures.

• The KIPS Transactions:PartD
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• v.15D no.5
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• pp.621-628
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• 2008

Many of today's businesses need IT system's flexibility for on-demand business which can be rapidly adapted to environment changes. Service oriented architecture (SOA) provides the infrastructure which makes business flexibility possible under the on-demand operating environment. Therefore, to satisfy these requirements, new approach for assuring business flexibility and enhancing reuse is needed. In this paper, we propose an approach for developing a business process family model (BPFM) in which the variabilities in business process family can be explicitly represented by using the variability analysis method of software product line. In addition, we describe the supporting tool for this approach. It can model the BPFM and generate automatically BPMs through decision and pruning process from BPFM. By using our approach, the business and its IT system can correspond to business environment changes rapidly and efficiently.

• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.59-66
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• 2010

The purpose of this study is to determine the possibilities of blending carbon black, which is known for its permeability as well as its strong heat and fire resistance, into concrete, in a manner that reinforces its strengths mentioned above. Experiments show that in non-solidified, fresh-mixed concrete, the addition of carbon black effectively reduced slump level and air content due to its absorptiveness and minute particle size. It also showed good results in terms of coagulation time, penetration resistance and bleeding level. In solid concrete, it showed better strength than plain concrete. Due to the pozzolanic reaction, its strength became more pronounced over time. At approximately 850 degrees Celsius, the heat and fire resistance level increased in parallel to the level of chemical substitution (by carbon black). Drying shrinkage level appeared to be optimal, and environmental assessment test results related to CO, CO2 and formaldehyde also scored better than plain concrete. In summary, with the appropriate use of AE water-reducing agents, carbon black can prove to be a strong candidate as an ingredient for industry-grade concrete.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.48-48
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• 2012

유역 내 고농도의 탁수문제는 수자원의 효용 가치 하락, 댐 기능의 저하 및 관광 자원으로써의 가치 하락으로 인한 경제적 손실을 발생시킨다. 또한 자원으로서의 토양손실을 야기시켜 토양 재조성을 위한 시간적, 비용적 문제를 발생시킨다. 하천의 탁수저감, 자원으로써의 토양 보전 관리를 위해서는 토양유실 저감 대책을 세우는 것이 필요하며, 이를 위해서는 정확한 토양유실량 및 유사량을 평가하여야 한다. 토양유실량 및 유사량을 평가하기 위해 Sediment Assessment Tool for Effective Erosion Control (SATEEC)이 널리 사용되어 오고 있으며, SATEEC System은 다양한 모듈 보완을 통하여 현재 SATEEC System ver. 2.2까지 개발되었다. SATEEC System ver. 2.2는 시공간변화를 고려한 일단위 R factor산정이 가능하며, 이 R factor산정 모듈은 단일강우를 고려할 수 있는 Williams, Foster, Cooley, CREAMS의 R factor산정 공식을 기반으로 하고 있다. 그리고 SATEEC System ver. 2.2에서는 같은 속성의 셀에 대해서는 함께 연산이 이루어지기 때문에, 유역의 크기나 셀크기에 상관없이 최대 연산시간은 비슷하다. 본 연구에서는 이렇게 개발된 SATEEC System ver. 2.2룰 이용하여 낙동강 수계에 위치한 임하댐유역의 유사량을 평가하였으며, 유사량 평가를 위한 유달률 산정을 위하여 유전자 알고니즘 기반의 SATEEC SDR모듈을 사용하였다. 유사량 평가 결과 보정기간동안 $R^2$ = 0.591, NSE = 0.573, 검정기간 동안 $R^2$ = 0.927, NSE = 0.911로 높은 적용성을 보이는 것으로 나타났다. 본 연구에서 사용된 SATEEC System ver. 2.2는 표토 보전 및 관리를 위한 예비 단계 평가 툴로 활용될 수 있을 것이라 판단된다.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.2
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• pp.145-149
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• 2011

Recently, as the design of a system gets larger and more complex, functional verification method based on system-level becomes more important. The verification of a functional block mainly uses BFM(bus functional model). The larger the burden on functional verification is, the more the importance of configuring a proper verification environment increases rapidly. SystemVerilog unifies hardware design languages and verification languages in the form of extensions to the Veri log HDL. The processing of design description, function simulation and verification using same language has many advantages in system development. In this paper, we design DUT that is composed of AMBA bus and function blocks using SystemVerilog and verify the function of DUT in verification environment using layered testbench. Adaptive FIR filter and Booth's multiplier are chosen as function blocks. We confirm that verification environment can be reused through a minor adaptation of interface to verify functions of other DUT.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.72-72
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• 2016

최근 발생하고 있는 기후변화로 인하여 하천 및 저수지의 수질문제가 커지고 있다. 특히 여름철 부영양화로 인해 발생하는 녹조현상은 사회적인 문제로 과학적인 수질사고에 대한 예측과 관리가 필요한 실정이다. 수질예보는 정기적으로 하천 및 저수지의 수질을 예측하여 사용자에게 제공하는 분석기법으로 수질현황을 파악하고 수질을 관리하고 의사결정을 하는데 도움을 줄 수 있다. 수질예보에 사용되는 모형은 유역모형, 하천모형, 저수지모형이 있으며, 이중 하천 및 저수지에 주로 적용되고 있는 3차원 수리수질모형의 경우 격자의 개수가 많아 모의시간이 길어지게 되고 이로 인해 일일 수질 예보가 어렵게 된다. 3차원 수리수질모형의 모의속도를 개선하는 방법에는 하드웨어의 성능을 높이는 방법과 병렬화를 이용한 소프트웨어적인 방법이 있다. 이중 하드웨어의 성능을 높이는 방법은 컴퓨터의 사양을 높이는 방법으로 높은 비용이 소요된다. 하지만 병렬화 방법은 컴퓨팅 기술의 발전으로 멀티코어가 대중화가 된 최근에 코드의 적용만으로 모의속도를 향상시킬 수 있다. 본 연구에서 사용된 모형은 서호주대학에서 개발한 3차원 수리 수질모형인 ELCOM-CAEDYM 모형으로 적용된 병렬화 기법은 OpenMP(Open Multi-Processing)방법이다. 기존 직렬 컴퓨팅 방식으로 구성되어 한번에 한 개의 명령어 밖에 처리할 수 없었던 작업방법을 동시에 여러 개의 처리요소를 이용하여 명령을 실행할 수 있게 하는 방식이다. 하지만 CPU의 개수는 제한되어 있으며, Amdahl's law에 따르면 OpenMP방식의 병렬화시 속도개선효과는 95% 병렬화 프로그램에서 최대 CPU 개수의 제한이 없다면 20배 까지 속도향상이 가능하다고 하였다. 본 연구에서는 3차원 수리 수질예측 모형인 ELCOM-CAEDYM에 적용된 병렬화 기법을 적용하는데 있어 최적 CPU사용 개수를 파악 하고자 하였으며, 이를 통해 수질예보시스템을 운영하는데 가장 효율적인 방법을 찾아 적용하고자 하고자 한다.

• Convergence Security Journal
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• v.18 no.2
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• pp.33-40
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• 2018

ICT technology has been applied to various educational fields, but applying to educational test field is limited. Computer-based test (CBT) can overcome temporal and spatial constraints of conventional paper-based test, but is vulnerable to fraud by test parties. In this paper, we propose real-time monitoring and process management methods to enhance the security of CBT. In the proposed methods, the test screens of students are periodically captured and transferred to the professor screen to enable real-time monitoring, and the possible processes used for cheating can be blocked before testing. In order to monitor the screen of many students in real time, effective compression of the captured original image is important. We applied three-step compression methods: initial image compression, resolution reduction, and re-compression. Through this, the original image of about 6MB was converted into the storage image of about 3.8KB. We use the process extraction and management functions of Windows API to block the processes that may be used for cheating. The CBT system of this paper with the new security enhancement methods shows the superiority through comparison of the security related functions with the existing CBT systems.

• Applied Chemistry for Engineering
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• v.32 no.4
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• pp.449-455
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• 2021

Composite materials are substances that are configured to have excellent physical properties by combining the properties of a single substance, and are in the limelight as materials that exceed the performance of metals and polymers. However, it has the disadvantages of long cycle time and high unit price, and much research is being performed to overcome these disadvantages. In this study, we developed an epoxy resin curing agent that can shorten the time required for mass production of composite materials, and tried to expand the applicability of objections by imparting flame retardancy. The epoxy resin used as a basic substance utilized two types of bisphenol F and resorcinol structure, which was further modified using 9,10-dihydro-9-oxa-10-phosphaphenantrene-10-oxide (DOPO) to impart flame retardancy. Triethylphosphate (TEP) and bis [(5-ethyl-2-methyl-1,3,2-dioxaphosphorinan-5-yl)methyl] methyl phosphonate P,P'-dioxide (FR-001) were used as additives, seven kinds of compositions were blended, thermal characteristics (gelation time, glass transition temperature) and flame retardant performance were evaluated. We successfully developed an epoxy matrix that can be applied to high pressure resin transfer molding (HP-RTM) process.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.1-6
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• 2021

Determining the percentage of negligence between the parties in the event of road traffic accidents is a significant problem. In order to provide users with more accurate criteria for determining the percentage of negligence, several companies are providing services. However, services currently available are limited to immediate use at the scene of an accident. Generally, the service that determines the percentage of negligence can be used after all accident handling procedures have been completed. This paper provides a real-time traffic accident type and fault rate information provision service utilizing a deep learning-based predictive model to overcome these limitations. Users can immediately identify accident types and fault information by taking pictures at the accident site and check actual precedents of the same accident type. Users will be able to use the service to more accurately and reliably determine the percentage of negligence and handle incidents.