• 한국융합학회논문지
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• 제9권7호
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• pp.17-24
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• 2018

빅데이터 처리 분야에서 중요한 이슈 중 하나는 인터넷의 주요 키워드를 추출하고 이것을 이용하여 필요한 정보를 가공하는 것이다. 현재까지 제안된 대부분의 키워드 추출 방법들은 대형 포털 사이트의 검색기능을 기반으로 이미 게시된 글이나 작성된 문서 또는 고정된 내용에 기반하고 있다. 본 논문에서는 SNS에 게시되는 다양한 이슈, 대화, 관심 분야, 의견 등 동적인 메시지를 기반으로 이슈 키워드 및 연관 키워드를 추출하여 잠재적 쇼핑 연관 키워드 광고 마케팅에 도움을 주는 시스템(KAES: Keyword Advertisement Extraction System based on SNS)을 개발한다. KAES 시스템은 특정 계정 리스트를 작성하여 SNS에서 빈도수가 가장 많은 핵심 키워드 및 연관 키워드를 추출한다.

• 한국식생활문화학회지
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• 제34권6호
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• pp.801-809
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• 2019

Abeliophyllum distichum Nakai is a deciduous shrub of a flowering plant in Oleaceae. It is an important plant resource and consists of only one species in the entire world. A. distichum Nakai is well known an edible, medicinal herb in its habitat districts, but the toxicological evaluation for the safe use of its extract is still insufficient. The study characterized the toxicity of an Abeliophyllum distichum Nakai ethanol extract in Sprague-Dawley (SD) rats and determined the safe dosage levels in a 13 weeks toxicity study. Abeliophyllum distichum Nakai ethanol extract was orally administered once daily for 2 weeks at 0, 500, 1,000 and 2,000 mg/kg/day to male and female SD rats. while recording the clinical signs of toxicity, body weight, food intake/consumption, eye test and urine analysis. Only the total protein frequency in the urine of male SD rats (p<0.05), the right ovary of the 500 mg/kg group (p<0.01) and the right adrenal gland of the 1,000 mg/kg group (p<0.05) in the female rats showed statistically significant changes. But no toxic effects were noted from repeated-dose administration of the Abeliophyllum distichum Nakai ethanol extract in the SD rats during the observation period. The post-mortem examinations showed no test substance-mediated changes. The hematological analysis and clinical blood chemistry data demonstrated no toxic effects from repeated-dose administration of Abeliophyllum distichum Nakai ethanol extract in the SD rats during the observation period. Based on these results, this data suggests that a dose of 1,000 mg/kg/day is a highest treatment to administer when conducting a further 13 weeks toxicity study.

• 정보과학회 논문지
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• 제43권2호
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• pp.135-142
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• 2016

시공간 데이터는 위도와 경도를 비롯한 위치정보를 포함한 데이터를 일컫는 말로 지리학적 시각화의 연구로 시공간 데이터를 분석하고 표현하는 방법에 대한 다양한 연구가 진행되었다. 이 기술은 특정 공간에 시간을 두고 연속적 또는 이산적으로 발생하는 데이터로부터 패턴을 찾고 이를 분석하는 데 목표가 있다. 하지만, 이동 경로에 대한 정보가 없는 이산적인 시공간 데이터에서 데이터의 흐름을 시각화하는 것은 쉽지만은 않은 일이다. 본 논문에서는 커널밀도추정과 중력모델을 이용하여 이산적인 시공간 데이터로부터 벡터를 추출하고 이를 이용하여 사용자로 하여금 시공간 데이터에서 움직임과 경향을 분석할 수 있도록 시각화 하는 것에 목표를 두었다. 이를 뒷받침하기 위하여 트위터 데이터를 이용하여 이산적인 시공간 데이터를 시각화하고 분석하고자 한다.

• ETRI Journal
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• 제25권1호
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• pp.52-54
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• 2003

We propose an improved algorithm for detecting audio watermarks based on a spread spectrum in the spectral domain. Since the energy of a watermark is much smaller than that of the cover audio data, pre-processing to reduce the effect of the cover data is needed to reliably extract watermarks. We introduce a spectral envelope filter as a pre-process that enhances detecting performance by filtering out the intrinsic spectral character of cover data. The proposed watermarking structure can be easily included in the compression system and can extract watermarks from partially decompressed spectral data. Our experimental results demonstrate that with a bit error rate of around 10 dB against general attacks, the proposed detecting scheme works better than detectors without the spectral filter.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.892-895
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• 1992

This paper presents a methodology for automatic feature extraction used in a vision system of FMC (flexible Manufacturing Cell). To implement a robot vision system, it is important to make a feature database for object recognition, location, and orientation. For industrial applications, it is necessary to extract feature information from CAD database since the detail information about an object is described in CAD data. Generally, CAD description is three dimensional information but single image data from camera is two dimensional information. Because of this dimensiional difference, many problems arise. Our primary concern in this study is to convert three dimensional data into two dimensional data and to extract some features from them and store them into the feature database. Secondary concern is to construct feature selecting system that can be used for part recognition in a given set of objects.

• 한국지능시스템학회논문지
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• 제15권1호
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• pp.42-47
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• 2005

본 논문은 스테레오 카메라론 사용하여 실내 환경의 3차원 복원하는 방법에 대하여 말하고 있다. 일반적으로 3차원 데이터를 추출하는 방법에는 3가지가 있는데, 초음파 센서를 사용하는 방법, 레이저 센서를 사용하는 방법, 그리고 스테레오 카메라론 사용하는 방법을 들 수 있다. 이중 스테레오 카메라는 적당한 가격으로 높은 성능을 낼 수 있는 방법이다. 본 논문에서는 스테레오 카메라론 사용하여 3차원 데이터를 추출하는 방법으로 Window Correlation Matching Method를 사용하였다. 스테레오 카메라를 사용하여 3차원 데이터를 우울할 때 가장 큰 문제인 정확하지 않은 데이터들에 대한 처리를 하기 위하여 Histogram Weighted Hough Transform이라는 방법을 제시하였다. 이렇게 하여 각 Step에 추출된 데이터에서 오차를 많이 줄일 수 있었기 때문에 복원이 더욱 잘 되도록 만들 수 있었으며, 3차원 복원에 DirectX를 사용하여 보다 현실감이 있도록 하였다. 본 논문은 기존에는 3차원 복원다는 3차원 데이터추출에 집중되었던 스테레오 카메라를 3차원 복원에 사용할 수 있다는 것을 보여주었으며, 오차를 줄이기 위해 새로운 알고리즘을 적용하려고 노력하였다.

• 대한인간공학회지
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• 제29권4호
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• pp.631-637
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• 2010

The aim of affective engineering is to develop a new product by translating customer affections into design factors. Affective data have so far been analyzed using a multivariate statistical analysis, but the affective data do not always have linear features assumed under normal distribution. Rough sets model is an effective method for knowledge discovery under uncertainty, imprecision and fuzziness. Rough sets model is to deal with any type of data regardless of their linearity characteristics. Therefore, this study utilizes rough sets model to extract affective knowledge from affective data. Four types of scent alternatives and four types of sounds were designed and the experiment was performed to look into affective differences in subject's preference on air conditioner. Finally, the purpose of this study also is to extract knowledge from affective data using rough sets model and to figure out the relationships between rough sets based affective engineering method and statistical one. The result of a case study shows that the proposed approach can effectively extract affective knowledge from affective data and is able to discover the relationships between customer affections and design factors. This study also shows similar results between rough sets model and statistical method, but it can be made more valuable by comparing fuzzy theory, neural network and multivariate statistical methods.

• 한국축산식품학회지
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• 제30권4호
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• pp.661-668
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• 2010

This study was carried out to optimize microencapsulation conditions for Inonotus obliquus extract powder with mediumchain triacylglycerol (MCT) using response surface methodology (RSM), and to determine the possibility of adding encapsulated I. obliquus extract to milk toward improving the functionality of milk. and to investigate the effects of added encapsulated I. obliquus extract on the physicochemical and sensory properties of the product. The microencapsulation efficiency of I. obliquus extract powder was investigated with respect to three variables (ratios of core material to coating material, amounts of water added, and spray pressure) in RSM. The optimal conditions for microencapsulation of I. obliquus extract powder were obtained from the ratio of core material to coating material (2.92:10) and the amount of water added (0.5 mL); the spray pressure had an insignificant effect on the microencapsulation (p<0.05). Adding encapsulated I. obliquus extract into milk did not significantly affect either color (L, a and b values) or thiobarbituric acid (TBA) values. Sensory test revealed that there were significant improvements in brownish, herb flavor, and bitterness scores for encapsulated I. obliquus extract-added milk as compared with those for uncapsulated I. obliquus extract-added milk. Based on the data obtained from the present study, it is concluded that microcapsules of I. obliquus extract powder could be applicable to milk without remarkably adverse effects on physicochemical and sensory properties

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2022년도 추계학술대회
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• pp.112-112
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• 2022

This study aims to confirm the possibility of using the invasive alien plants in Jeju as a functional biomaterial. To achieve this purpose, 70% ethanol extract and solvent fractions were prepared for five invasive alien plants (Hypochaeris radicata, Rumex acetosella, Humulus japonicus Siebold & Zucc., Solanum viarum, Lactuca scariolar) and their antioxidant, antibacterial anti-inflammatory and anti-obesity effects were investigated. The DPPH radical scavenging activity of ethanol extract from invasive alien plants was shown in the order of Rumex acetosella > Hypochaeris radicata > Humulus japonicus. Antimicrobial activity of ethanol extract against food poisoning bacteria (4 species) and oral cavity-induced microorganisms (6 species) was measured. As a result, the extract of Humulus japonicus showed high antibacterial effects against food poisoning bacteria (E. coli, V. parahaemolyticus) and oral microbes (L. casei, S. epidermidis, E. faecalis). In LPS-induced RAW 264.7 cells, the anti-inflammatory effect of ethanol extract from invasive alien plants was investigated. As a result, the NO production inhibition activity was highest in the Rumex acetosella and the Humulus japonicus Siebold & Zucc. ethanol extract, and the NO production inhibition activity was concentration-dependent. In addition, the Rumex acetosella and the Humulus japonicus Siebold & Zucc. ethanol extract showed a concentration-dependent inhibitory effect on cytokine (IL-6) production. These extracts also showed inhibitory activity of COX-2, an inflammatory protein. This suggests that NO production inhibition activity by the extract of invasive alien plants is the result of inhibition of iNOS and COX-2 expression. Currently, organic solvent fractions of crude extract are manufactured and the investigation of active ingredients is continuing along with evaluation of biological activity such as anti-inflammatory. These results are expected to be a major data for the study on the separation and utilization of active ingredients with antioxidant, antibacterial and anti-inflammatory effects using foreign plant crude extract and solvent fractions, and are highly likely to be applied to the development of functional food and cosmetics materials.

• 인터넷정보학회논문지
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• 제20권3호
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• pp.85-92
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• 2019

In this paper, we extract the quantitative relation data of activities from the workflow event log file recorded in the XES standard format and connect them to rediscover the workflow process model. Extract the workflow process patterns and proportions with the rediscovered model. There are four types of control-flow elements that should be used to extract workflow process patterns and portions with log files: linear (sequential) routing, disjunctive (selective) routing, conjunctive (parallel) routing, and iterative routing patterns. In this paper, we focus on four of the factors, disjunctive routing, and conjunctive path. A framework implemented by the authors' research group extracts and arranges the activity data from the log and converts the iteration of duplicate relationships into a quantitative value. Also, for accurate analysis, a parallel process is recorded in the log file based on execution time, and algorithms for finding and eliminating information distortion are designed and implemented. With these refined data, we rediscover the workflow process model following the relationship between the activities. This series of experiments are conducted using the Large Bank Transaction Process Model provided by 4TU and visualizes the experiment process and results.