• International Journal of Advanced Culture Technology
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• 제7권1호
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• pp.64-69
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• 2019

With the advent of the fourth industry, the need for office automation with automatic character recognition capabilities is increasing day by day. Therefore, in this paper, we study a character recognition algorithm that effectively recognizes a new experimental data character by using learning data characters. The proposed algorithm computes the degree of similarity that the structural regions of learning data characters match the corresponding regions of the experimental data character. It has been confirmed that satisfactory results can be obtained by selecting the learning data character with the highest degree of similarity in the matching process as the final recognition result for a given experimental data character.

• 무역학회지
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• 제44권5호
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• pp.161-174
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• 2019

Recent studies on trade payment methods have suggested various alternatives to replace remittance payments. However, these studies theoretically provided the possibilities and limitations of each alternative. To check recent changes in trade practices, our research analyzed payment methods in international trade e-marketplace. Using company and product information obtained from Alibaba.com, we analyzed payment methods used in this e-marketplace and examined determination factors for new payment methods. According to the results of logistic regression analysis, we found a relationship between new payment method and factors such as market competition and the age of the company. Also, providing Paypal payments showed a correlation with market competition and price level of products as well as e-commerce infrastructure. Though these study results feature limitations in the generalization of results, it contributes to the research on payment method trends in international trade.

• 한국자기공명학회논문지
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• 제25권1호
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• pp.1-7
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• 2021

Employing of 13C stable-isotopes in NMR metabolomics can give unique splitting patterns and coupling constants information originated from 13C-13C coupling interaction that provide an important structural information regarding the cellular metabolic process. But it has been known that an undesirable signal distortion in 2D heteronuclear correlation study, due to 13C-13C interaction, hampers an analysis of the coupling information. Recently, we proposed J-scaled distortion-free heteronuclear single-quantum coherence (HSQC) sequence which provides a distortion-free 13C-13C coupling information with a selective resolution enhancement of JCC splitting. In this paper, we dicuss theoretical aspect and practical feature of J-scaled HSQC pulse sequence. The conceptual explanation of orgin of the signal distortion by 13C-13C coupling interaction and design of J-scaled HSQC through exemplified results are provided in brief.

• 천문학논총
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• 제32권1호
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• pp.197-199
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• 2017

Using the InfraRed Camera (IRC) on board the infrared astronomical satellite AKARI we study the ${3.3{\mu}m}$ polycyclic aromatic hydrocarbon (PAH) feature and its connection to active galactic nucleus (AGN) properties for a sample of 54 hard X-ray selected bright AGN, including both Seyfert 1 and Seyfert 2 type objects. The sample is selected from the 9-month Swift/BAT survey in the 14-195 keV band and all of the sources have known neutral hydrogen column densities ($N_H$). The ${3.3{\mu}m}$ PAH luminosity ($L_{3.3{\mu}m}$) is used as a proxy for star-formation (SF) activity and hard X-ray luminosity ($L_{14-195keV}$) as an indicator of the AGN power. We explore for possible difference of SF activity between type 1 (un-absorbed) and type 2 (absorbed) AGN. We use several statistical analyses taking the upper-limits of the PAH lines into account utilizing survival analysis methods. The results of our log($L_{14-195keV}$) versus log($L_{3.3{\mu}m}$) regression shows a positive correlation and the slope for the type 1/unobscured AGN is steeper than that of type 2/obscured AGN at a $3{\sigma}$ level. Also our analysis shows that the circum-nuclear SF is more enhanced in type 2/absorbed AGN than type 1/un-absorbed AGN for low $L_{14-195keV}$ luminosity/low Eddington ratio AGN, while there is no significant dependence of SF activity on the AGN type in the high $L_{14-195keV}$ luminosities/Eddington ratios.

• 패션비즈니스
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• 제13권3호
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• pp.118-135
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• 2009

This study is done in Shanghai area by sample survey of female college students. Through direct contact survey, this study collected and analyzed information on figure to understand feature of breasts and measurements of body to provide base information to improve product of brassiere for adult female in China. Data was analyzed by using SPSSWIN 13.0 Program and SAS 9.0. 1. From a result of analysis on the body measures to understand the characteristics of the shape of the breast of the Chinese female college students(18$\sim$24 years old), the bust circumference was 83.86cm and the underbust circumference was 73.37cm and the cup size of a brassiere was 75A. 2. From a result of analysis on the bust measures to understand the relations between the front, lateral and cross-sectional proportions of the bust and the shape of the breast in the Chinese female college students, the chest height was 0.77, the bust height was 0.71 and the underbust height was 0.68 as the information of the body type that shows the location of the bust that is the measure of an item to a height as the front proportion of the bust. For the lateral proportion of the bust, the chest depth of the waist depth was 0.98, the bust depth, 1.21 and the underbust depth, 1.03. While the bust depth/waist depth is ideal when being 1.3, it was 1.21 in this study to be close to the ideal lateral shape. For the cross-sectional proportion of the bust, the area of the largest evenness was the bust followed by the waist, underbust and chest in order. 3. From a result of analysis on the correlation between measured items necessary to understand the characteristic of the shape of the breast, to set up the sizes and to produce the patterns, the underbust circumference had a relatively high correlation between the items of breadth, depth and circumference and weight as the items of basic areas.

• 한국CDE학회논문집
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• 제17권2호
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• pp.97-110
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• 2012

High performance sensors and modern data logging technology with real-time telemetry facilitate system fault diagnosis in a very precise manner. Fault detection, isolation and identification in fault diagnosis systems are typical steps to analyze the root cause of failures. This systematic failure analysis provides not only useful clues to rectify the abnormal behaviors of a system, but also key information to redesign the current system for retrofit. The main barriers to effective failure analysis are: (i) the gathered data (event) logs are too large in general, and further (ii) they usually contain noise and redundant data that make precise analysis difficult. This paper therefore applies suitable pre-processing techniques to data reduction and feature extraction, and then converts the reduced data log into a new format of event sequence information. Finally the event sequence information is decoded to investigate the correlation between specific event patterns and various system faults. The efficiency of the developed pre-filtering procedure is examined with a terminal box data log of a marine diesel engine.

• 생태와환경
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• 제41권spc호
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• pp.1-10
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• 2008

We patterned water quality of agricultural reservoirs according to the differences of six physico-chemical environmental factors (TN, TP, DO, BOD, COD, and SS) using four different ordination methods: Principal Components Analysis (PCA), Detrended Correspondence Analysis (DCA), Nonmetric Multidimensional Scaling (NMS), and Isometric Feature Mapping (Isomap). The data set was obtained from the water quality monitoring networks operated by the Ministry of Agriculture and Forestry and the Ministry of Environments. Chlorophyll-${\alpha}$ displayed the highest correlation with COD, followed by TP, BOD, SS, and TN (p<0.01), while negatively correlated with altitude and bank height of the reservoirs (p<0.01). Although four different ordination methods similarly patterned the reservoirs according to the gradient of nutrient concentration, PCA and NMS appeared to be the most efficient methods to pattern water quality of reservoirs based on the explanation power. Considering variable scores in the ordination map, the concentration of nutrients was positively correlated with Chl-${\alpha}$, while negatively correlated with altitude and bank height. These ordination methods may help to pattern agricultural reservoirs according to their water quality characteristics.

• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.1060-1071
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• 2014

Signals of the Electroencephalogram (EEG) can reflect the electrical background activity of the brain generated by the cerebral cortex nerve cells. This has been the mostly utilized signal, which helps in effective analysis of brain functions by supervised learning methods. In this paper, an approach for improving the accuracy of EEG signal classification is presented to detect epileptic seizures. Moreover, Independent Component Analysis (ICA) is incorporated as a preprocessing step and Short Time Fourier Transform (STFT) is used for denoising the signal adequately. Feature extraction of EEG signals is accomplished on the basis of three parameters namely, Standard Deviation, Correlation Dimension and Lyapunov Exponents. The Artificial Neural Network (ANN) is trained by incorporating Levenberg-Marquardt(LM) training algorithm into the backpropagation algorithm that results in high classification accuracy. Experimental results reveal that the methodology will improve the clinical service of the EEG recording and also provide better decision making in epileptic seizure detection than the existing techniques. The proposed EEG signal classification using feed forward Backpropagation Neural Network performs better than to the EEG signal classification using Adaptive Neuro Fuzzy Inference System (ANFIS) classifier in terms of accuracy, sensitivity, and specificity.

• 정보관리학회지
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• 제18권3호
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• pp.265-284
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• 2001

본 연구의 목적은 이용자의 인지유형과 그에 따른 웹기반 OPAC시스템 평가에 대한 상관관계를 알아보기 위한 것이다. 이용자들의 인지유형은 (1)Verbaliser/Imager와 (2) Wholist/Analytic으로 나누었고 웹기반 OPAC시스템의 (1)기능적인 측면과 (2)학습용이성 측면에 초점을 맞추어 평가를 하였다. 연구방법으로는 (1)사전조사를 위한 인터뷰, (2)주된 데이터 수집을 위한 질문지, 그리고 (3) 이용자의 인지형태 결정을 위해서 심리측정학(psychometric)방법을 사용하였다. 사전조사결과와 문헌의 리뷰에 근거하여 온라인 조사방법으로 (1)웹기반 온라인 질문지와 (2) Riding의 CSA(Cognitive Style Assessment)을 Sheffield 대학 캠퍼스 네트워크에 연결된 모든 PC에서 접속할 수 있게 온라인 테스트 환경을 구성하였다. 이 환경을 통하여 44명의 석.박사 학생들이 자발적으로 본 실험에 참가를 했으며, 이들로부터 수집된 데이터는 SPSS(Statistical Package for Social Science)를 이용하여 분석하였다. 통계분석에서 각 평가항목 변수들간의 상관관계분석을 위해서 피어슨(Pearson)의 상관계수 (Coefficient, f)를 사용하였다. 연구결과 개인의 인지형태와 웹기반 OPAC시스템 평가간에는 비교적 낮은 통계학적인 상관관계를 보였다.

• 전자공학회논문지
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• 제51권5호
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• pp.188-194
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• 2014

계산적 청각 장면 분석 시스템의 특징 추출은 시간 연속성과 주파수 채널간에 유사성을 이용하여 청각 요소의 상관지도를 구성한다. 세그먼테이션은 상호상관계수 함수를 이용하여 2진 마스크를 구성하고, 마스크 성분 1(음성)은 동일한 주기성과 동기를 가진다. 그러나 채널간에 비슷한 주기성을 갖지만 지연이 있는 경우에 음성으로 잘못 결정되는 문제가 있다. 본 논문에서는 세그먼테이션에서 가중치 상호상관계수를 이용해 채널간에 유사성의 변별력을 높이는 방법을 제안한다. 계산적 청각 장면 분석 시스템의 음성분리 성능을 평가하기 위하여 배경 잡음(사이렌, 기계, 백색, 자동차, 군중) 환경에서 신호 대 잡음비(5dB, 0dB)의 변화에 따라 실험을 수행하였다. 본 논문에서는 기존의 방법과 제안한 방법과 비교한 결과, 제안한 방법이 기존의 방법에 비하여 각각 신호 대 잡음비 5dB에서 2.75dB 그리고 0dB에서 4.84dB 향상되었다.