• 자원리싸이클링
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• 제11권2호
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• pp.20-27
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• 2002

본 연구는 석탄 화력발전소로부터 배출되는 약 20% 정도의 mill reject산물로부터 석탄을 회수하여 에너지원으로 재활용하기 위한 마찰하전형정전선별기술을 개발하는데 있다. 연구결과 회분함량 47%인 mill reject산물로부터 회분함량 15%인 정제 석탄회를 66.23%의 석탄회수율로 얻을 수 있었다. 또한 releases analysis 분석결과 발전소에서 요구하는 회분함량 20% 이내에서 석탄회수율을 80%까지 얻을 수 있는 처리공정을 제시하여, 본 처리법의 우수성을 입증하였다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 추계 학술발표회
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• pp.404-415
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• 2010

In this paper, using the TDR sensors, variation of soil water content changes were measured as TDR data. Then filtering technique was determined using Fourier transform. Determine the moisture content of soil and ground water level and tried to determine unsaturated zone. First, variation of water content changes were measured TDR data by indoor experiment. Then as a function of TDR data made for water content of soil. Next, through Acrylic indoor laboratory model experiments, changes in ground water levels and lateral penetration of the field conditions were reproduced in an indoor. Field applicability of the TDR sensor was demonstrated by analysis of this. TDR sensor was installed in the embankment, TDR data were measured by TDR sensor.

• 대한가정학회지
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• 제44권8호
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• pp.63-78
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• 2006

The nation's birthrate has been rapidly falling. The purpose of this study was to explore the factors related to low birthrate, by analyzing TV dramas dealing with childbirth and rearing. Content analysis is well suited to research probing widespread cultural notions or behavior. If any part or all of the dramas discussed an aspect of childbirth and rearing, we recorded verbatim quotes and paraphrased some specific points. Using the technique of multiple observers, inter rater as well as intra rater reliabilities were measured. The results showed that emergent themes in TV dramas on low birthrate are social environment, family context, and value changes. The conclusions and implications of these findings are discussed.

• Nuclear Engineering and Technology
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• 제54권2호
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• pp.637-643
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• 2022

Uranium and plutonium are required to be accounted in spent fuel head-end and major recovery area in pyro-process for safeguards purpose. The possibility of neutron resonance technique, as a nondestructive analysis, was simulated on isotopic fissile analysis for large scale process. Neutron resonance technique has advantage to distinguish uranium from plutonium directly in mixture. Simulation was performed on U235 and Pu239 assay in spent fuel and for scoping examination of assembly type. The resonance energies were determined for U235 and Pu239. The linearity in the neutron transmission was examined for the selected resonance energies. In addition, the limit for detection was examined by changing sample density, thickness and content for actual application. Several factors were proposed for neutron production and the moderated neutron source was simulated for effective and efficient transmission measurement. From the simulation results, neutron resonance technique is promising to analyze U235 and Pu239 for spent fuel assembly. An accurate fissile assay will contribute to an increased safeguards for the pyro-processing system and international credibility on the reuse of fissile materials in the fuel cycle.

• Food Science and Biotechnology
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• 제18권1호
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• pp.60-65
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• 2009

Near infrared reflectance spectroscopy (NIRS) was used as a rapid and non-destructive method to determine the protein content in intact and ground seeds of pea (Pisum sativum L.) germplasms grown in Korea. A total of 115 samples were scanned in the reflectance mode of a scanning monochromator at intact seed and flour condition, and the reference values for the protein content was measured by auto-Kjeldahl system. In the developed ground and intact NIRS equations for analysis of protein, the most accurate equation were obtained at 2, 8, 6, 1 math treatment conditions with standard normal variate and detrend scatter correction method and entire spectrum (400-2,500 nm) by using modified partial least squares regression (n=78). External validation (n=34) of these NIRS equations showed significant correlation between reference values and NIRS estimated values based on the standard error of prediction (SEP), $R^2$, and the ratio of standard deviation of reference data to SEP. Therefore, these ground and intact NIRS equations can be applicable and reliable for determination of protein content in pea seeds, and non-destructive NIRS method could be used as a mass analysis technique for selection of high protein pea in breeding program and for quality control in food industry.

• 한국식품저장유통학회지
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• 제12권6호
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• pp.608-612
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• 2005

친환경적이면서 신속한 비파괴 분석방법인 FT-NIR를 이용하여 백미의 총식이섬유(TDF)함량 예측모델을 개발하였다. 백미는 국내산으로 전남지방에서 재배된 47개 품종과, 시중 유통 중인 13개 브랜드 미에 대해서 AOAC 방법에 준한 효소법에 의해 TDF 함량을 분석하였다. 습식 분석된 TDF함량의 범위는 $1.17-1.92\%$ 이었다. FT-NIR로 측정된 스펙트럼의 검량식은 빛의 산란 효과를 최소화하기 위해 수학적 처리를 하였고, 몇 개의 특정 파장이 아닌 전 파장 영역(1,000-2,500 nm)에 대해서 PLS법으로 작성하였다. 얻어진 검량식의 정확도는 상관계수(r), SEE 및 SEP로 확인하였다. 백미 중 총 식이섬유 함량에 대한 회귀분석을 행한 결과, 검량식의 r은 0.9705, SEE는 0.0464, 검증식의 bias는 -0.0006, SEP가0.0604로 측정 정확도가 우수하여 실제 적용이 가능함을 보여주었다.

• 디지털융복합연구
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• 제17권11호
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• pp.459-466
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• 2019

새로운 콘텐츠 소비경향의 하나로 스낵컬쳐라는 용어가 보편화되면서 다양한 관련 콘텐츠들이 대중들에게 소개되고 있는 최근의 상황이다. 본 연구는, 대표적 스낵컬쳐 콘텐츠라고 할 수 있는 웹툰의 파생콘텐츠라고 할 수 있는 웹툰 기반 스낵애니메이션에 대한 분석연구로, 영상에서 공간과 시간의 변화를 만들어줌으로서 보는 이에게 스토리의 이해를 돕는다는 측면에서 그 중요성이 큰, 장면전환 기법의 유형별 사용빈도를 알아보는 것을 연구의 주요 목적으로 한다. 이를 위해, 대표적 스낵애니메이션 플랫폼인 네이버의 플레이 웹툰에 탑재된 콘텐츠를 전수조사하여 각 유형별 장면전환 기법의 사용빈도를 산출한 후에 이를 바탕으로 분포도를 작성하여 샷의 구성적 관점에서 분석결과를 도출하고 고찰하는 일련의 과정을 통하여, 아직은 관련연구가 미흡한 스낵애니메이션 콘텐츠에 대한 또 하나의 기초자료를 제공할 수 있었다는 점에, 연구의 의의가 있다고 판단된다.

• ETRI Journal
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• 제30권3호
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• pp.394-402
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• 2008

Domain analysis is the process of analyzing related software systems in a domain to find their common and variable parts. In the case of device drivers, they are highly suitable for domain analysis because device drivers of the same domain are implemented similarly for each device and each system that they support. Considering this characteristic, this paper introduces a new approach to the domain analysis of device drivers. Our method uses a code clone detection technique to extract similarity among device drivers of the same domain. To examine the applicability of our method, we investigated whole device drivers of a Linux source. Results showed that many reusable similar codes can be discerned by the code clone detection method. We also investigated if our method is applicable to other kernel sources. However, the results show that the code clone detection method is not useful for the domain analysis of all kernel sources. That is, the applicability of the code clone detection method to domain analysis is a peculiar feature of device drivers.

• ETRI Journal
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• 제27권6호
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• pp.806-809
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• 2005

The main goal of this research is automatic video analysis using a face recognition technique. In this paper, an automatic video management system is introduced with a variety of functions enabled, such as index, edit, summarize, and retrieve multimedia data. The automatic management tool utilizes MPEG-7 visual descriptors to generate a video index for creating a summary. The resulting index generates a preview of a movie, and allows non-linear access with thumbnails. In addition, the index supports the searching of shots similar to a desired one within saved video sequences. Moreover, a face recognition technique is utilized to personalbased video summarization and indexing in stored video data.

• 통합자연과학논문집
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• 제14권2호
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• pp.35-40
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• 2021

In this paper, we proposed a multi-subject-level sentiment analysis model for user reviews using the Latent Dirichlet Allocation (LDA) method targeting user-generated content (UGC). Data were collected from users' online reviews of hotels in major tourist cities in the world, and 30 hotel-related topics were extracted using the entire user reviews through the LDA technique. Six major hotel-related themes (Cleanliness, Location, Rooms, Service, Sleep Quality, and Value) were selected from the extracted themes, and emotions were evaluated for sentences corresponding to six themes in each user review in the proposed sentiment analysis model. Sentiment was analyzed using a dictionary. In addition, the performance of the proposed sentiment analysis model was evaluated by comparing the emotional values for each subject in the user reviews and the detailed scores evaluated by the user directly for each hotel attribute. As a result of analyzing the values of accuracy and recall of the proposed sentiment analysis model, it was analyzed that the efficiency was high.