• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2005년도 추계 종합학술대회 논문집
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• pp.269-274
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• 2005

최근에 인터넷을 통한 의약품 정보가 범람하고 있다. 그러나 지금까지 일반인들이 웹페이지를 통하여 의약품 정보를 검색하는 패턴과 획득하는 방법에 대한 연구 결과가 미비한 실정이다. 따라서 이 논문에서는 의약품 정보를 제공하는 특정 회사의 웹 로그 파일을 WiseLog 툴을 사용하여 분석하였다. 특히 사용자 유형에 따른 웹페이지 사용 형태와 웹페이지 메뉴 사용 형태, 그리고 검색 메뉴 사용 형태의 3가지에 대한 웹 로그 파일 통계 결과 자료를 분석하였다. 그 결과 인터넷에서의 의약품 정보를 제공하는 회사들을 위한 보완 및 개선 방안들을 제시하였다.

• 한국컴퓨터정보학회논문지
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• 제23권10호
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• pp.11-21
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• 2018

In this paper we propose a novel log template discovery algorithm which achieves high quality of discovered log templates through iterative log filtering technique. Log templates are the static string pattern of logs that are used to produce actual logs by inserting variable values during runtime. Identifying individual logs into their template category correctly enables us to conduct automated analysis using state-of-the-art machine learning techniques. Our technique looks at the group of logs column-wise and filters the logs that have the value of the highest proportion. We repeat this process per each column until we are left with highly homogeneous set of logs that most likely belong to the same log template category. Then, we determine which column is the static part and which is the variable part by vertically comparing all the logs in the group. This process repeats until we have discovered all the templates from given logs. Also, during this process we discover the custom patterns such as ID formats that are unique to the application. This information helps us quickly identify such strings in the logs as variable parts thereby further increasing the accuracy of the discovered log templates. Existing solutions suffer from log templates being too general or too specific because of the inability to detect custom patterns. Through extensive evaluations we have learned that our proposed method achieves 2 to 20 times better accuracy.

• 한국통신학회논문지
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• 제27권8A호
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• pp.725-732
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• 2002

터보 부호의 복호에 사용되는 블록 MAP (Maximum A Posteriori) 복호 알고리듬은 Log-MAP 복호 알고리듬으로부터 메모리 사용량을 감소시킨 알고리듬이다. 기존 블록 MAP 복호기의 BER (Bit Error Rate) 성능은 블록 크기와 트레이닝 크기에 의해 결정되며, 하드웨어의 활용도를 최대로 하고 연속적인 복호를 위해 트레이닝 크기와 같은 블록 크기를 사용한다. 블록 크기와 트레이닝 크기가 복호기의 BER 성능에 미치는 영향을 실험한 결과, 트레이닝 크기가 충분하면 블록 크기가 작아도 BER 성능이 유지됨을 보인다. 본 논문에서는 면적 효율적인 블록 MAP 복호기의 구조를 제안한다. 제안된 복호 방식은 블록 크기의 정수 배인 트레이닝 크기를 사용함으로써 메모리 사용량을 감소시키는 복호 순서를 사용한다. 제안된 복호 순서를 효과적으로 수행하기 위해 파이프라인 구조를 제안하였다. 실험 결과 제안된 복호 방식은 BER 성능을 유지하면서 메모리 사용량이 30~45% 감소하는 것을 확인하였다.

• Journal of the Korean Data and Information Science Society
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• 제23권6호
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• pp.1231-1239
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• 2012

An estimating procedure is introduced for kernel Poisson regression when the input variables consist of numerical and categorical variables, which is based on the penalized negative log-likelihood and the component-wise product of two different types of kernel functions. The proposed procedure provides the estimates of the mean function of the response variables, where the canonical parameter is linearly and/or nonlinearly related to the input variables. Experimental results are then presented which indicate the performance of the proposed kernel Poisson regression.

• Communications for Statistical Applications and Methods
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• 제11권1호
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• pp.93-106
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• 2004

Recently, many data of various types is gained with development of computer in many fields. Especially, web log data generating in web site furnish beneficial information on an organization. The enterprise's destiny is swayed by according as how these information gaining from the web site utilize. In this paper, for the purpose of obtaining useful information, we present a tool is called WebBizi for web log analysis. This will be helpful to enterprise working the web site.

• 한국문헌정보학회지
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• 제36권4호
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• pp.311-329
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• 2002

본 연구에서는 최신의 정보기술을 적용한 XML 기반 충남대학교 전자도서관 웹사이트를 대상으로 사용성 평가를 실시하였다. 사용성 평가는 로그파일 분석, 온라인 설문조사 그리고 발견평가의 3가지 방법을 적용하였다. 본 연구에서는 사용자 입장에서의 대학도서관 웹사이트 서비스의 문제점을 분석$\cdot$평가하여 개선 방안을 제시함으로써 이용자 서비스의 품질 향상을 제고할 수 있는 근거를 마련하고자 한다.

• 천문학논총
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• 제30권2호
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• pp.183-187
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• 2015

We use ALLWISE data release W1- and W2-band epoch photometry collected by the Wide-Field Infrared Survey Explorer (WISE) to determine slopes of the period-luminosity relations for RR Lyrae stars in 15 globular clusters in the corresponding bands. We further combine these results with V- and K-band photometry of Galactic field RR Lyrae stars to determine the metallicity slopes of the log $P_F-[Fe/H]-M_K$, log $P_F-[Fe/H]-M_{W1}$, and log $P_F-[Fe/H]-M_{W2}$ period-metallicity-luminosity relations. We infer the zero points of these relations and determine the kinematical parameters of thick-disk and halo RR Lyraes via statistical parallax, and estimate the RR Lyrae-based distances to 18 Local-Group galaxies including the center of the Milky Way.

• 한국환경과학회지
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• 제21권4호
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• pp.421-435
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• 2012

Novel $N_2O_2$ tetradentate ligands, H-3BPD and H-2BPD were synthesized. Hydrochloric acid salts of Br-3BPD, Cl-3BPD, Br-2BPD and Cl-2BPD having Br and Cl substituents at the $para$ position of the phenol hydroxyl group, were synthesized. The ligands were characterized by C. H. N atomic analysis, $^1H$ NMR, $^{13}C$ NMR, UV-visible, and mass spectra. The proton dissociation constants ($logK_n{^H}$) of the phenol hydroxyl group and secondary amine of the synthesized $N_2O_2$ ligands were shown by four step wise values. The orders of the calculated overall proton dissociation constants ($log{\beta}_p$) were Br-3BPD < Cl-3BPD < H-3BPD in case of 3BPD and Br-2BPD < Cl-2BPD < H-2BPD in case of 2BPD respectively. The order agreed well with that of $para$ Hammett substituent constants(${\delta}_p$). The stability constants($logK_{ML}$) of the complexes between the synthesized ligands and transition metal(II) ions agreed with the order of $log{\beta}_p$ of the ligands. The order of the $logK_{ML}$ value of the each transition metal (II) ion was Co(II) < Ni(II) < Cu(II) > Zn(II) > Cd(II) > Pb(II), which agreed well with that of Iriving-Williams series.

• ETRI Journal
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• 제39권3호
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• pp.398-405
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• 2017

In this paper, an artificial stereo extension method that creates stereophonic sound from a mono sound source is proposed. The proposed method first trains deep neural networks (DNNs) that model the nonlinear relationship between the dominant and residual signals of the stereo channel. In the training stage, the band-wise log spectral magnitude and unwrapped phase of both the dominant and residual signals are utilized to model the nonlinearities of each sub-band through deep architecture. From that point, stereo extension is conducted by estimating the residual signal that corresponds to the input mono channel signal with the trained DNN model in a sub-band domain. The performance of the proposed method was evaluated using a log spectral distortion (LSD) measure and multiple stimuli with a hidden reference and anchor (MUSHRA) test. The results showed that the proposed method provided a lower LSD and higher MUSHRA score than conventional methods that use hidden Markov models and DNN with full-band processing.

• 한국정보전자통신기술학회논문지
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• 제14권6호
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• pp.487-496
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• 2021

The analysis method of the microbiome has been evolving for a very long time, and the industrial field has grown rapidly with the start of human genome analysis 20 years ago. As continuous research continues, related industries have grown together, and among them, Illumina of the US has been leading the popularization of DNA analysis by developing innovative equipment and analysis methods since its establishment in 1998. In this paper, 'AiB Index', 'AiB Chart' using statistical process control and log-scale technique to analyze the gut microbiome analysis methodology and implement an algorithm that can analyze minute changes in the minor strains that can be overlooked in the existing analysis methods. want to implement. From the data analysis point of view, we proposed a platform for analyzing gut microbes that can collect fecal data, match and process gut microbes, and store and visualize the results.