• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.13 no.3
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• pp.260-270
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• 2008

The economics of manganese nodules mining was assessed based on 36 scenarios which reflect recent changes of the metal market. Those scenarios included optimistic/neutral/pessimistic prospect for the cost, 2 production scales(1.5 MT and 3 MT) and 6 assumptional paths of future metal prices. A large part of scenarios, in which optimistic or neutral prospect for the cost and metal prices were assumed, showed good economic feasibility of the project. For example, 37.12% of Internal Rate of Return(IRR) was obtained in the scenario of 3 MT production, neutral cost prospect and present metal price maintained in the future.

• Journal of the Korean earth science society
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• v.31 no.7
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• pp.708-719
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• 2010

The Gochang-gun Dongho macro-tide pocket-type beach, located on the southwestern coast of Korea, is investigated in terms of the seasonal variations of surface sediment and sedimentary environment. Surface sediments of 45 sites in four seasons (May 2006-February 2007) are sampled across three survey lines (15 sites in each survey line). The surface sediments of the Dongho Beach are mainly composed of fine to coarse sands, and the ratio of fine sand is the largest. The average of grain size is the coarsest in the summer. The spatial distribution of surface sediments shows a coast-parallel band of fine and medium sands during three seasons of spring, fall, and winter, whereas medium sands dominated in the northern part of the study area during the summer. These results suggest that a tide is more effective than a wave in the surface sediments of the Dongho Beach during the summer.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.28 no.4
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• pp.462-468
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• 1983

Collected 38 colored soybeans, which was cultivated under the conventional field conditions, were investigated about their organeloptic parameters and correlations among factors such as organeloptic score, texturometer parameters and chemical components of seeds. Most of the organeloptic parameters were affect much more by the characteristics of each cultivars than by grain weight, and then showed significant differences with the effect of interactinon between grain weight and cultivar, too. Also among contribution degrees of texturometer scores to overall acceptance, cohesiveness was higher in small, medium and super grains, however in large grains, hardness. And among sensory attributes, suitable toughness was contribute most positively to acceptance.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.243-245
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• 2022

수소사회로의 전환에 따라 수소확보가 가장 중요한 화두로 떠오르고 있으며, 외국에서 수입하는 수소의 보관 및 유통을 위한 국내 수소보관, 유통을 위한 항만구축 방안을 제시함

• Water for future
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• v.25 no.4
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• pp.87-95
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• 1992

The validity of the estimate of runoff depth and peak runoff by the basin runoff curve numbers(CN-II for AMC-II condition and CN-III for AMC-III condition) obtained from hydrologic soil-cover complexs is investigated by making use of the observed curve numbers(median curve number and optimum curve number) computed from rainfall-runoff records. For gaged basins the median curve numbers are recommended for the estimation of runoff depth and peak runoff. For ungaged basins, found is that for the estimate of runoff depth CN-III is adequate and for the peak runoff CN-II is adequate. Also investigated is the variation of curve numbers during rainfall, which is turned out to improve the estimates of both depth and peak of runoff.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.113-116
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• 2009

보다 바람직한 운전 경험을 제공하기 위하여, 운전자의 감성에 영향을 미치는 요인에 대한 관심이 높아져 가고 있다. 본 연구에서는 운전자의 운전 시의 기분 혹은 감정상태에 영향을 미치는 외부요인으로 도로 소통 상황, 계절, 날씨, 운전 시각, 운전 지역을 추출하였으며 운전자 개인의 감정상태를 결정짓는 주관적이고 심리적인 요인은 배제하였다. 운전 경력 3 년 이상의 운전자를 대상으로 감성 상태는 긍정/부정, 흥분/안정의 2 가지 축으로 나뉘어 측정하였다. 운전자의 무드는 중립을 기준으로 양 극단보다는 중립에 가까운 상태에 주로 분포하였는데 긍정/부정에는 각각 고루 분포한 반면, 흥분/안정에서는 안정 쪽에 더 많이 분포한 것을 알 수 있었다. 또한 다섯 가지 외부 요인들이 모두 운전자의 무드에 영향을 미쳤으며 도로 소통 상황이 긍정/부정과 흥분/안정 모두에서 유의미한 차이를 보였다. 감성의 긍정/부정 축에서는 계절, 날씨, 소통 상황, 그리고 운전 지역이 유의미하였으며, 감성의 흥분/안정 축에서는 운전시간과 소통 상황이 유의미하였다. 본 연구의 결과를 확장시켜 운전자의 감성에 영향을 미치는 외부 요인들을 데이터베이스화하여 운전자를 위한 다양한 제품 및 서비스 개발에 활용될 수 있을 것으로 기대한다.

• The Korean Journal of Financial Management
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• v.9 no.2
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• pp.271-293
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• 1992

연구에서는 해외기업 인수의 생존전략가설(生存戰略假說)(Shapiro,1989)을 $1986{\sim}1991$년까지 해외기업을 인수한 30개 국내 인수기업의 주식수익률 자료를 이용하여 검증하였다. 해외기업 인수에 관한 정보의 공시가, 전체표본(全體標本)의 경우, 국내 인수기업의 주식가격에 중립적이거나 혹은 부정적인 효과를 가져다 주었다. 또한, 국내 인수기업중에서 외국기업을 인수해야 할 긴박성의 정도에 따라 전체표본을 성장기업(成長企業)과 한계기업(限界企業)으로 분리하여 각 표본을 대상으로 인수에 관한 정보의 공시가 주가(株價)에 미치는 효과를 분석하였다. 소표본의 분석 결과에 따르면, 성장기업의 경우는 초과수익률이 통계적으로 0에 가까운 중립적인 반응을 보였으며, 한계기업의 경우는 통계적으로 유의한 마이너스 초과수익률을 나타내어 생존전략 가설을 확인시켜 주었다. 따라서, 국내기업에 의한 해외기업 인수는 국제화를 통해 초과수익을 추구하기 위한 전략이라기 보다는, 국내 및 국제시장에서 살아남기 위한 생존전략의 한 방안으로 추진된다고 결론지을 수 있다.

• Phonetics and Speech Sciences
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• v.12 no.3
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• pp.25-32
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• 2020

An analysis of emotional English utterances with 7 emotions (calm, happy, sad, angry, fearful, disgust, surprised) was conducted using the measurement of prosodic distance between 672 emotional and 48 neutral utterances. Applying the technique proposed in the automatic evaluation model of English pronunciation to the present study on emotional utterances, Euclidean distance measurement of 3 prosodic elements such as F0, intensity and duration extracted from emotional and neutral utterances was utilized. This paper, furthermore, extended the analytical methods to include Euclidean distance normalization, z-score and z-score normalization resulting in 4 groups of measurement schemes (sqrF0, sqrINT, sqrDUR; norsqrF0, norsqrINT, norsqrDUR; sqrzF0, sqrzINT, sqrzDUR; norsqrzF0, norsqrzINT, norsqrzDUR). All of the results from perceptual analysis and acoustical analysis of emotional utteances consistently indicated the greater effectiveness of norsqrF0, norsqrINT and norsqrDUR, among 4 groups of measurement schemes, which normalized the Euclidean measurement. The greatest acoustical change of prosodic information influenced by emotion was shown in the values of F0 followed by duration and intensity in descending order according to the effect size based on the estimation of distance between emotional utterances and neutral counterparts. Tukey Post Hoc test revealed 4 homogeneous subsets (calm

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.123-138
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• 2017

Since the stock market is driven by the expectation of traders, studies have been conducted to predict stock price movements through analysis of various sources of text data. In order to predict stock price movements, research has been conducted not only on the relationship between text data and fluctuations in stock prices, but also on the trading stocks based on news articles and social media responses. Studies that predict the movements of stock prices have also applied classification algorithms with constructing term-document matrix in the same way as other text mining approaches. Because the document contains a lot of words, it is better to select words that contribute more for building a term-document matrix. Based on the frequency of words, words that show too little frequency or importance are removed. It also selects words according to their contribution by measuring the degree to which a word contributes to correctly classifying a document. The basic idea of constructing a term-document matrix was to collect all the documents to be analyzed and to select and use the words that have an influence on the classification. In this study, we analyze the documents for each individual item and select the words that are irrelevant for all categories as neutral words. We extract the words around the selected neutral word and use it to generate the term-document matrix. The neutral word itself starts with the idea that the stock movement is less related to the existence of the neutral words, and that the surrounding words of the neutral word are more likely to affect the stock price movements. And apply it to the algorithm that classifies the stock price fluctuations with the generated term-document matrix. In this study, we firstly removed stop words and selected neutral words for each stock. And we used a method to exclude words that are included in news articles for other stocks among the selected words. Through the online news portal, we collected four months of news articles on the top 10 market cap stocks. We split the news articles into 3 month news data as training data and apply the remaining one month news articles to the model to predict the stock price movements of the next day. We used SVM, Boosting and Random Forest for building models and predicting the movements of stock prices. The stock market opened for four months (2016/02/01 ~ 2016/05/31) for a total of 80 days, using the initial 60 days as a training set and the remaining 20 days as a test set. The proposed word - based algorithm in this study showed better classification performance than the word selection method based on sparsity. This study predicted stock price volatility by collecting and analyzing news articles of the top 10 stocks in market cap. We used the term - document matrix based classification model to estimate the stock price fluctuations and compared the performance of the existing sparse - based word extraction method and the suggested method of removing words from the term - document matrix. The suggested method differs from the word extraction method in that it uses not only the news articles for the corresponding stock but also other news items to determine the words to extract. In other words, it removed not only the words that appeared in all the increase and decrease but also the words that appeared common in the news for other stocks. When the prediction accuracy was compared, the suggested method showed higher accuracy. The limitation of this study is that the stock price prediction was set up to classify the rise and fall, and the experiment was conducted only for the top ten stocks. The 10 stocks used in the experiment do not represent the entire stock market. In addition, it is difficult to show the investment performance because stock price fluctuation and profit rate may be different. Therefore, it is necessary to study the research using more stocks and the yield prediction through trading simulation.

• Journal of the Korean Institute of Gas
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• v.27 no.1
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• pp.70-77
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• 2023

Air environment regulations have been strengthened due to increasing air pollutant emissions, the target of reducing emissions has increased and interest in gas measurement methods is also increasing. The sampling method is mainly used, but due to the spatial and temporal measurement limitations, the laser absorption spectroscopy which is a real-time and in-situ method is in the spotlight. In this study, we studied the wavelength modulation spectroscopy and described the calibration-free algorithm. The developed algorithm was modified to reflect 46 multi-absorption lines and was applied to light absorption signal analysis in visible and mid-infrared regions. In addition, the difference between the modulation parameters of laser was analyzed. As a result of reviewing the performance through O₂ and NO gas measurement experiments of various concentration conditions, the linearity was R²_O2=0.99999 and R²_NO=0.99967.