• Journal of Korean Tunnelling and Underground Space Association
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• v.3 no.1
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• pp.21-26
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• 2001

Till now a lot of studies has been performed to increase the efficiency of tunnel blasting. Nevertheless there are still uncertainties of input parameter to determine the specific charge. In order to solve this problem, the rock types and the charges of 17 road tunnel sites were analyzed. As a result of these analyses an empirical formula depending on rock type and charge was developed. Through this formula rational tunnel blasting will be designed by quantitative method rather than by assumption.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.343-343
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• 2019

일반적으로 지역홍수빈도해석은 두가지 목적을 내포하고 있다. 첫 번째는 자료기간이 짧은 지점에 대하여 지역빈도해석을 통하여 보다 신뢰성있는 홍수빈도를 추정하기 위한 것이며, 두 번째는 지역화를 통한 미계측지점에서의 홍수빈도를 추정하기 위한 것이다. 자료샘플의 확충을 통한 신뢰성있는 홍수빈도를 추정하기 위한 연구는 국내에서도 활발히 연구가 진행되었으나. 미계측지점에서의 홍수빈도를 추정하기 위한 연구는 관측홍수량 자료 및 지점수의 부재로 미미한 실정이다. 또한, 지역화를 통한 미계측지점에서의 홍수빈도를 추정하기 위해 지역홍수빈도분석을 수행할 수 있는 관측홍수량 자료가 확보되었을 경우라 하더라도, 공간적으로 추가적인 지점의 자료가 확보될 경우, 지역화 결과의 민감도에 대한 연구는 전혀 이루어지지 못하고 있다. 따라서, 본 연구에서는 충주댐 상류유역의 22개 지점에 대한 모의홍수량 자료를 기반으로, 무작위로 분석지점을 선택하여 그에 따른 홍수빈도의 지역화 결과에 대한 변화를 고찰하고자 하였다. 이는 분석 유역의 지역홍수빈도분석을 수행하기에 적합한 홍수자료의 공간정보에 대한 의미를 정략적으로 파악할 수 있을 것으로 판단된다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.1
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• pp.15-23
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• 2004

Westfeld analyzed a sequential LSB embedding steganography effectively through the $\chi$$^2$statistical test which measures the frequencies of PoVs(pairs of values). Fridrich also proposed another statistical analysis, so-called RS steganalysis by which the embedding message rate can be estimated. This method is based on the partition of pixels as three groups; Regular, Singular, Unusable groups. In this paper, we propose a new steganographic scheme which preserves the above two statistics. The proposed scheme embeds the secret message in the innocent image by randomly adding one to real pixel value or subtracting one from it, then adjusts the statistical measures to equal those of the original image.

• Journal of the Korean GEO-environmental Society
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• v.9 no.5
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• pp.21-27
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• 2008

The Sediment deposits in rivers and reservoirs are major components interfering with the useful function of the reservoirs, and clogging the inlet port at water intakes in rivers and erosion of pump impellers. Therefore, an accurate estimation method of sediment deposition is requisite to the efficient water resources investigation, planning and management. The objective of this paper is to forecast of reservoir sediment deposition using two dimensional model (SMS) to UnMun reservoir in GyeongSangBukDo. The RUSLE model showed that reservoirs volume was decreased $2,084.09{\times}10^6m^3$ after 50 years and $2,196.65{\times}10^6m^3$ after 100 years, which is plan flood level elevation (EL.152.12 m) reservoir. The two dimensional model showed that reservoirs volume was decreased $2,227.41{\times}10^6m^3$ after 50 years and $2,121.47{\times}10^6m^3$ after 100 years, which is plan flood level elevation (EL.152.12 m) reservoir. The results of this application showed that the use of two dimensional model was very effective for the estimation sediment deposits throughout the reservoir.

• Information Systems Review
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• v.17 no.1
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• pp.49-64
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• 2015

Customer reviews which include subjective opinions for the product or service in online store have been generated rapidly and their influence on customers has become immense due to the widespread usage of SNS. In addition, a number of studies have focused on opinion mining to analyze the positive and negative opinions and get a better solution for customer support and sales. It is very important to select the key terms which reflected the customers' sentiment on the reviews for opinion mining. We proposed a document-level terms-based sentiment classification model by select in the optimal terms with part of speech tag. SVMs (Support vector machines) are utilized to build a predictor for opinion mining and we used the combination of POS tag and four terms extraction methods for the feature selection of SVM. To validate the proposed opinion mining model, we applied it to the customer reviews on Amazon. We eliminated the unmeaning terms known as the stopwords and extracted the useful terms by using part of speech tagging approach after crawling 80,000 reviews. The extracted terms gained from document frequency, TF-IDF, information gain, chi-squared statistic were ranked and 20 ranked terms were used to the feature of SVM model. Our experimental results show that the performance of SVM model with four POS tags is superior to the benchmarked model, which are built by extracting only adjective terms. In addition, the SVM model based on Chi-squared statistic for opinion mining shows the most superior performance among SVM models with 4 different kinds of terms extraction method. Our proposed opinion mining model is expected to improve customer service and gain competitive advantage in online store.

• Journal of KIISE
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• v.43 no.5
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• pp.553-561
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• 2016

Several machine learning techniques are able to automatically populate ontology data from web sources. Also the interest for large scale ontology reasoning is increasing. However, there is a problem leading to the speculative result to imply uncertainties. Hence, there is a need to consider the reliability problems of various data obtained from the web. Currently, large scale ontology reasoning methods based on the trust value is required because the inference-based reliability of quantitative ontology is insufficient. In this study, we proposed a large scale OWL Horst reasoning method based on a confidence value using spark, a distributed in-memory framework. It describes a method for integrating the confidence value of duplicated data. In addition, it explains a distributed parallel heuristic algorithm to solve the problem of degrading the performance of the inference. In order to evaluate the performance of reasoning methods based on the confidence value, the experiment was conducted using LUBM3000. The experiment results showed that our approach could perform reasoning twice faster than existing reasoning systems like WebPIE.

• Journal of Korean Society of Transportation
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• v.19 no.5
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• pp.85-97
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• 2001

In this study, the purpose behind this research is to propose index to be used for classification of functional the urban streets and to select the feasible length of special management link by the index. This special management link help decision makers found a transportation policy. In order to perform functional classification, index such as average traveled distance, link VKT and VKT per length-lane are use at the study. Average traveled distance index is average traveled distance divided by length of Path k and VKT per length-lane is trip volume characteristic considering lanes and length of Path k. Special management links on which major part of the vehicle are selected with using Path-VKT which represents how many long-distance touring vehicles are on the arterial road. The selection of special management links are performed with network composed of 14 paths (arterial roads) in seoul The total distance of special management links resulted from the above analysis is 141km(35.0% of the whole paths length) and total VKT of the special management links is 4,152,475 VKT(45.2% of the whole paths VKT)

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3A
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• pp.131-138
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• 2012

This paper aims to present accurately analytical modeling method for underpinning using uncertainty reduction, obtained from comparison between numerical analysis and Site measuring data during construction and service stages. Combination of various conditions should be considered for using numerical analysis to predict the behavior of the structure accurately, even though complexly considered the conditions, real construction should be secured the stability by applying the actual instrument measurement data because predicted results are including the considerable uncertainty. In order to secure the stability during construction, the real time instrument measurements together with numerical analysis results performed before construction state are complementary used actively. From the results of this study, the significant settlements are occurred not only in underpass structure of adjacent excavation area but also in the permanent steel pipe structures were analyzed. From the site measurement results of underpass settlement, the settlements are occurred in every stages of excavation, furthermore observed tendency is asymmetrical excavation patterns are settled more than symmetrical excavation patterns. The essential consideration points for numerical analysis are construction sequence, the direction of the existing facilities, the methods of elements modeling, the applied factors for nature of material and different results would be occurred depending upon inputting the above factors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.549-557
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• 2016

It is important for effective visualization to summarize not only a large amount of debugging information but also the mental models of abstract ideas. This paper presents an abstract visualization tool which provides effective visualization of thread structure and race information for OpenMP programs with critical sections and nested parallelism, using a partial order execution graph which captures logical concurrency among threads. This tool is supported by an on-the-fly trace-filtering technique to reduce space complexity of visualization information, and a graph abstraction technique to reduce visual complexity of nested parallelism and critical sections in the filtered trace. The graph abstraction of partial-order relation and race information is effective for understanding program execution and detecting to eliminate races, because the user can examine control flow of program and locations of races in a structural fashion.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2010.10a
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• pp.19-19
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• 2010

황칠나무(Dendropanax morbifera Lev.)는 두릅나무과(Araliaceae)에 속하며 학명에서 뜻하는 바와 같이 목본 (Dendro), 전능약(Panax)이라는 의미가 있고 나무인삼이라 불리기도 하며 줄기에 상처를 내면 노란액이 나온다고 해서 황칠나무(D. morbifera)라는 이름이 붙여졌다. 두릅나무과는 우리나라에서 최고의 약재들로 손꼽히는 인삼(Panax ginseng), 가시오갈피(Eleutherococcus senticosus) 등의 약용식물을 포함하고 있어서 황칠나무는 황칠수지액 이외에 약용식물로서의 무한한 개발 가능성을 내포하고 있다. 따라서 본 실험은 황칠나무의 기내 부정근 유도 및 증식조건의 확립을 목적으로 수행되었다. 우선 황칠나무의 기내 발아체로부터 부위(잎, 줄기, 뿌리)를 달리하여 부정근을 유도한 결과, 잎은 줄기나 뿌리보다 양호한 부정근의 유도를 보였다. 또한 유도된 부정근을 이용하여 옥신의 종류에 따른 부정근 유도율을 조사한 결과 IBA와 NAA는 IAA와 2.4-D보다 높은 유도율을 보였다. IBA의 농도에 따른 유도율과 증식효율은 IBA가 1.0 mg/L 첨가되었을 때 가장 높은 유도 및 증식효율을 보였다. 최적의 액체배지조건을 확인하고자 sucrose의 농도와 염농도를 달리하여 실험한 결과 1/2MS 배지는 MS 배지보다 10%정도 높은 증식율을 보였다. 액체배양 된 황칠나무의 부정근을 각각 1/2MS 배지에 30 g/L sucrose, 3.0 mg/L IBA가 첨가된 5 L volume 생물반응기에 4주 간 배양한 대조구와 2주 후 IBA의 농도를 1.0으로 낮추어 배양한 실험구에서 2주후 IBA의 농도를 낮추어 배양한 실험구에서 대조구보다 약 2배 높은 부정근의 증식량을 보였다. 결국, 황칠나무의 종자발아체를 이용하여 부정근의 유도 및 증식조건에 필요한 기내배양조건을 확립하였고, 플라스크와 생물반응기 배양을 통해 효율적인 실험실 내 증식조건을 확립하였다. 본 실험결과는 향후 황칠나무 천연추출물을 활용한 향장품/식,의약품 소재의 대량확보 차원에서 중요한 가치를 내포하고 있다고 조심스럽게 사료된다.