• Resources Recycling
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• v.28 no.6
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• pp.96-105
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• 2019

Automobile shredder residue (ASR) is the final waste produced when end-of-life vehicles (ELVs) are shredded. ASR can be separated using mineral-processing operations such as comminution, air classification, magnetic separation, and/or electrostatic separation. In this work, trajectory analyses of conductors (copper) and non-conductors (glass) in the ASR have been carried out using induction electrostatic separator for predicting or improving the ASR-separation efficiency. From results of trajectory analysis for conductors, the trajectories of copper wire by observation versus simulation for coarse particles of 0.5 and 0.25 mm showed consistent congruity. The observed 0.06 mm fine-particles trajectory was deflected toward the (-) attractive electrode owing to the charge-density effects due to the particle characteristics and relative humidity. In the case of non-conductors, the actual trajectory of dielectric glass deflected toward the (-) electrode, showing characteristics similar to those of conductive particles. The analyses of stereoscopic microscope and SEM & EDS found heterologous materials (fine ferrous particles and conductive organics) on the glass surface. This demonstrates the glass decreasing separation efficiency for non-ferrous metals during electrostatic separation for the recycling of ASR. Future work will require a pretreatment process for eliminating impurities from the glass and advanced trajectory-simulation processes.

• International Commerce and Information Review
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• v.14 no.1
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• pp.141-170
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• 2012

There are a couple of methods to analyze the trade effect of FTA. Some compare bilateral trade amounts, partner's share in total export, or market share in partner's total import. Others set up partial equilibrium models or general equilibrium models for more sophisticated analyses. The purpose of this paper is to analyze bilateral trade between Korea and Chile, Singapore, Switzerland and Norway using the Intensity of Trade and Special Country Bias. The Trade Intensity Analysis focuses on how much the real trade diverges from the expected one which is derived by the Gravity Model, and it enable us to define how much the bilateral trade is closely related with each other compared with the rest of the world. Also by excluding the effects of changes in Trade Complementarity, it enables us to evaluate the trade effect of FTA. The results show that regarding Korea's export, the biggest trade effects are found with Norway, and the effects are evading after a couple of years of outstanding accomplishment with Chile and Singapore. With Switzerland, however, almost no effect is found. Regarding Korea's import, Norway has recorded the biggest advance into Korean market, whereas, other countries do not show significant changes.

• Journal of the Korean Wood Science and Technology
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• v.47 no.2
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• pp.229-238
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• 2019

Various wood defects occur during tree growing or wood processing. Thus, to use wood practically, it is necessary to objectively assess their quality based on the usage requirement by accurately classifying their defects. However, manual visual grading and species classification may result in differences due to subjective decisions; therefore, computer-vision-based image analysis is required for the objective evaluation of wood quality and the speeding up of wood production. In this study, the SIFT+k-NN and CNN models were used to implement a model that automatically classifies knots and analyze its accuracy. Toward this end, a total of 1,172 knot images in various shapes from five domestic conifers were used for learning and validation. For the SIFT+k-NN model, SIFT technology was used to extract properties from the knot images and k-NN was used for the classification, resulting in the classification with an accuracy of up to 60.53% when k-index was 17. The CNN model comprised 8 convolution layers and 3 hidden layers, and its maximum accuracy was 88.09% after 1205 epoch, which was higher than that of the SIFT+k-NN model. Moreover, if there is a large difference in the number of images by knot types, the SIFT+k-NN tended to show a learning biased toward the knot type with a higher number of images, whereas the CNN model did not show a drastic bias regardless of the difference in the number of images. Therefore, the CNN model showed better performance in knot classification. It is determined that the wood knot classification by the CNN model will show a sufficient accuracy in its practical applicability.

• Journal of Science and Technology Studies
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• v.18 no.3
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• pp.153-216
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• 2018

The contemporary practices of Big-Data based automated decision making algorithms are widely deployed not just because we expect algorithmic decision making might distribute social resources in a more efficient way but also because we hope algorithms might make fairer decisions than the ones humans make with their prejudice, bias, and arbitrary judgment. However, there are increasingly more claims that algorithmic decision making does not do justice to those who are affected by the outcome. These unfair examples bring about new important questions such as how decision making was translated into processes and which factors should be considered to constitute to fair decision making. This paper attempts to delve into a bunch of research which addressed three areas of algorithmic application: criminal justice, law enforcement, and national security. By doing so, it will address some questions about whether artificial intelligence algorithm discriminates certain groups of humans and what are the criteria of a fair decision making process. Prior to the review, factors in each stage of data mining that could, either deliberately or unintentionally, lead to discriminatory results will be discussed. This paper will conclude with implications of this theoretical and practical analysis for the contemporary Korean society.

• Science of Emotion and Sensibility
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• v.4 no.2
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• pp.69-77
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• 2001

Positively biased asymmetry between positive and negative cognition is the basic assumption of heuristic human functioning. This article describes the SOM(states of mind) model for emotional judgement, a psycho-mathematical model built on affective-cognitive assessment research on the balance of positive and negative thoughts and feelings. The SOM model suggests that subjects on the average choose a positive over a negative pole with the probability 0.62 and the precise value of this constant coincides with algebraic “golden section” 　.618:.382. Statistical analyses of 32 normal subjects shows that the mean of SOM ratios of self-referent judgement and incidental recall task for positive/negative emotional words are .62(SD=.08) and .58(SD=.4). Also, the SOM ratios are significantly correlated with self-referent judgement for positive/negative emotional words. Implications of cognitive balance and future research directions for emotional science are discussed.

• Analytical Science and Technology
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• v.31 no.5
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• pp.195-200
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• 2018

Researchers have used the visual criteria to compare the effectiveness of fingerprint enhancement techniques. However, since the visual criteria is subjective, bias can occur. Therefore, many researchers have tried to make the criteria objective using the contrast index (CI). However, there is a constraint that the CI was only validated on inked fingerprints or color-change fingerprints. In this study, we compared enhancement of fluorescence fingerprints on colored papers using the CI. The CI values differ according to the color of the background, reagent, and light source, even though the same standard fingerprints were used. Through the comparison of values, we could compare the enhancement of fluorescence fingerprints according to these factors. When visual evaluation criteria were used, the same peak score was obtained regardless of the reagent and light source. However, we could get a more detailed score comparison in this study using the CI. Therefore, it is confirmed that for comparison of enhancement of fluorescence fingerprints, the CI can be used as a basis for determining which light source and reagent are appropriate according to the background.

• Fire Science and Engineering
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• v.18 no.4
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• pp.35-41
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• 2004

The water spray characteristics of the sprinkler heads is a very important factor affecting the fire suppression performance, and it is largely dependent on the shape of the head nozzle. This study investigated shape factors and spray distribution performances for the sprinkler heads of four domestic companies with big market shares. The experimental results revealed that all flow constants exceeded the required regulation limits, however showed big differences between head types although they have the same design limit. They were however relatively consistent regardless of the pressure increases. The spray distribution of some head samples showed severe directional eccentricity, which suggests more study for the improvement.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1594-1598
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• 2008

자연하천에서의 형상은 직류하천보다는 어느 정도 만곡이 있는 사행하천이다. 이러한 만곡부가 교호적으로 나타나는 사행하천의 흐름구조는 매우 복잡하며, 이차류가 발생하는 만곡부에서 직류하천에서 예상되는 흐름분포를 왜곡시킴으로써, 유사의 이동, 횡방향의 유속분포가 다르게 나타난다. 이러한 만곡부의 흐름 특성은 만곡부 외측에 측방세굴과 수면교란, 그리고 수위를 상승시키며, 에너지 손실을 가져온다. 일반적으로 사행하천의 만곡부 외측에는 소(pool)가 발달되고, 내측에는 이차류에 의해 강턱 퇴적을 유발함으로써 점 사주(point bar)가 형성된다(우효섭, 2001). 본 연구에서는 사행하천이 비교적 발달한 섬진강 상류 덕치지구 구간에 대하여 2차원 수치모형인 RMA-2 모형을 이용하여 만곡부의 흐름특성을 분석하였다. 분석한 결과 유속의 분포는 만곡부 상류부에서 최대 흐름의 구역이 나타났으며, 만곡부에서는 흐름의 편향구역과 정체구역, 그리고 만곡부 하류부에서 에너지 손실이 일어난 후 흐름의 회복구역으로 흐름의 특성을 나타났다. 또한 수위의 분포는 상류부에서 점차적으로 수위가 감소하다가 만곡부에서 수위가 상승하였고 만곡부가 끝나는 하류부에서의 수위는 감소하였다. 만곡부에서의 횡적인 수위 분포는 만곡부의 외측이 내측보다 수위가 상승되는 것으로 나타났다. 본 연구에서 2차원 수치모형인 RMA-2 모형을 이용한 만곡부의 흐름 특성은 만곡부에서의 홍수위 상승에 대한 검토로서 하천의 바람직한 치수관리 방안에 효과적으로 이용될 수 있을 것으로 판단된다.

• The Korean Journal of Applied Statistics
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• v.23 no.2
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• pp.263-274
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• 2010

Business survey index(BSI) is an economic forecasting index made on the basis of the past achievement of the company and enterpriser's plan and decision for the future. Even the index is very popular in economic situations, only a little research result is known to the public. In the paper we investigate statistical properties of BSI. We define population BSI in the finite population and estimate it unbiasedly. Also we derive the variance of the estimated BSI and its unbiased estimator. In addition, confidence interval of the estimated BSI is proposed. We asserte that confidence interval of the estimated BSI is more reasonable than the relative standard error.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.211-211
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• 2011

근래에 들어 환경문제의 사회적 부각과 함께 생태파괴적인 하천 정비 방식에 대한 대안으로 자연형 하천 환경 복원기법에 대한 시험 적용이 활발하게 진행되고 있다. 그러나 하천 복원에 앞서 하천 환경의 상태를 파악하고 진단할 수 있는 방법에 대한 연구가 미흡한 실정이다. 기존에 개발된 하천 질 평가 방법은 수질에 편향된 경향이 있으나 수질의 개선만으로는 생물 다양성의 발생 기반으로서 물리적 구조가 훼손된 상태에서는 생태적 복원의 효과를 달성하기 어렵다. 따라서 하천의 물리적 조건에 의한 구체적이고 비교적 객관적인 평가가 필요하며, 본 연구에서는 상기 평가를 바탕으로 작성된 하천 자연도 평가 지침에 의거하여 곡릉천 하류 일부 구간과 곡릉천의 지류인 벽제천을 대상으로 자연도를 조사하였다. 평가 결과 곡릉천 봉일천교 상류 2km구간의 저수로는 사행을 보였으며, 강변 사주 및 하중도는 없었으나 갈대 등과 같은 저수로변 식생이 있고 흙으로 조성된 인공제방으로 되어 있어 도심지의 정형화된 하천들에 비해 비교적 자연에 가까운 모습을 하고 있었다. 한편 하천 인근에 있는 아파트 등 주거지와 논, 밭 등의 경작지로 인한 오염원 유입 및 자전거 도로와 산책로 등 사람의 접근이 용이한 제외지의 이용으로 동식 물서식처로서의 기능이 저하될 것으로 우려된다. 곡릉천의 지류인 벽제천은 저수로가 사행을 유지하고 하중도와 사주가 형성되어 있으며 여울을 확인할 수 있었다. 하천 인근에 경작지와 제방도로가 있으나 인적이 드물고 차량 통행량이 적어 생태환경 훼손에 대한 우려는 적은 것으로 판단되 었다.