• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.5
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• pp.69-79
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• 2003

We analyze key business process by using IDEF method in the perspective of business continuity, identify key information assets by using Skandia model, and use Nessus Version 1.4.2 to assess vulnerability about the sever of library information system according to OCTAVE(The Operationally Critical Threat, Asset, and Vulnerability Evaluation) approach. We suggest the vulnerability assessment case for introducing improved OCTAVE method including IDEF method and Skandia model.

• Review of KIISC
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• v.21 no.6
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• pp.67-72
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• 2011

카네기멜론 대학의 SEI(Software Engineering Institute)는 개인 의료 정보의 보안을 규정한 HIPP A(Health Insurance Portability and Accountability Act)의 조항을 미 국방부(DoD)가 제청하면서 직면하게 된 보안 준수의 난항을 해결하기 위해서 TATRC(Telemedicine and Advanced Technology Research Center)와 공동으로 자산 식별 및 정보보호 위험평가를 위한 방법론인 OCTAVE를 개발하였다. 이후 조직의 운영 과정에서 발생하는 위험의 내성을 높이기 위한 질적 위험평가 기준이 개발되었으며 이를 통해 조직의 중요한 자산 및 잠재적 위협과 취약점을 식별하는 위험평가 방법으로 발전하였고, 2005년에는 100명이하의 소규모 조직에 적합한 OCTAVE-S가 발표되었다. 오늘날 급변하고 있는 IT 환경에서 기존의 OCTAVE 보다 간소화되고 최적화된 위험평가 프로세스를 제공하기 위해서 2007년에 OCTAVE Allegro 프레임워크가 개발되었다. 본고에서는 기존의 OCTAVE 방법론의 주요 특정을 살펴보고, 정보자산 중심의 OCTAVE Allegro 위험 평가 방법론을 소개한다.

• The Journal of the Acoustical Society of Korea
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• v.33 no.1
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• pp.81-86
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• 2014

This paper presents a study on the effectiveness of using the spectral and the temporal octave-band order statistics for musical genre classification. In order to represent the relative disposition of the harmonic and non-harmonic components, we utilize the octave-band order statistics of power spectral distribution. Experiments on the widely used two music datasets were performed; the results show that the octave-band order statistics improve genre classification accuracy by 2.61 % for one dataset and 8.9 % for another dataset compared with the mel-frequency cepstral coefficients and the octave-band spectral contrast. Experimental results show that the octave-band order statistics are promising for musical genre classification.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.238-244
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• 2013

For musical genre classification, various types of feature vectors are utilized. Mel-frequency cepstral coefficient (MFCC), decorrelated filter bank (DFB), and octave-based spectral contrast (OSC) are widely used as short-term features, and their long-term variations are also utilized. In this paper, OSC features are extracted not only in the single-octave band domain, but also in the multiple-octave band one to capture the correlation between octave bands. As a baseline system, we select the genre classification system that won the fourth place in the 2012 music information retrieval evaluation exchange (MIREX) contest. By applying the OSC features based on multiple-octave bands, we obtain the better classification accuracy by 0.40% and 3.15% for the GTZAN and Ballroom databases, respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1487-1494
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• 2011

In this paper, a novel genre classification algorithm is proposed for music recommendation system. Especially, to improve the classification accuracy, the band-pass filter for octave-based spectral contrast (OSC) feature is designed considering the psycho-acoustic model and actual frequency range of musical instruments. The GTZAN database including 10 genres was used for 10-fold cross validation experiments. The proposed multiple-octave based OSC produces better accuracy by 2.26% compared with the conventional OSC. The combined feature vector based on the proposed OSC and mel-frequency cepstral coefficient (MFCC) gives even better accuracy.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.11b
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• pp.881-885
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• 2002

This paper presents the performance and the algorithm of a 1/3-octave band spectrum control system. The system is developed to provide various spectrums in a high intensity acoustic chamber. The required spectrum, which usually comes from launch vehicle company, starts from 25Hz band and ends 10kHz band. Automatic spectrum control system is preferred since the system requires short settling time to guarantee the safety of test objects and to reduce the amount of operating gas. The developed system adapted a PCI data-acquisition/signal-generation board installed in a personal computer to implement whole control logic. The control software used three cascade digital Butterworth filters using software. The filers are designed following ANSI S1.11 standard to implement 1/3 octave band filter bank. The graphical user interface of the system guides the user to follow standard operation procedure. The averaged control spectrum showed less than 0.05 dB in every running 1/3-octave band.

• Journal of Sasang Constitutional Medicine
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• v.19 no.2
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• pp.40-52
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• 2007

1. Objectives and Methods The purpose of this study was to objectify the diagnosis of Sasang Constitution. 63 Male Juvenile's and 151 Female Juvenile's sentences were analyzed into 73 factors like Pitch, APQ, Shimmer, Octave and Energy, etc. Juvenile's sentences were classified into 6 categories: total Male Juvenile group, under 12 years old Male Juvenile grout, over 13 years old Male Juvenile group, total Female Juvenile group, under 12 years old Female Juvenile group and over 13 years old Female Juvenile group. 2. Results 1) In Total Male Juvenile group, there were no significant differences among constitutional groups in APQ and Octave segment. Taeumin's Center freq.(3) was significantly high compared with Soyangin group. Soeumin's Center freq.(5) was significantly high compared with Soyangin and Taeumin groups. Taeumin's Octave3 Shimmer was significantly high compared with Soeumin group. Soeumin's Octave6 Shimmer was significantly high compared with Taeumin group. Solyangin's D# Tot E was significantly high compared with Taeumin group. 2) In Under 12 years old Male Juvenile group, there were on significantly among constitutional groups in Pitch, APQ, Octave and Energy segment. Taeumin's Octave3 Shimmer and G Shimmer(1) were significantly high compared with Soeumin group. 3) In Over 13 years old Male Juvenile group, there were no signigicant differences among constitutional groups in Pitch, APQ and Shimmer segment. Soyangin's and Soeumin's Octave6 were significantly high compared with Taeumin group. Soyangin's $0k{\sim}2k$ Total Sum, $0k{\sim}2k$ Dev., $2k{\sim}4k$ Total Sum, $2k{\sim}4k$ Dev., A Dev.(1), D# Dev.(1) and G# Dev.(1) were significantly high compared with Taeumin group. Soyangin's and Soeumin's G# Tot E were significantly high compared with Taeumin group. 4) In Total Female Juvenile group, there were no significant differences among constitutional groups in Pitch and APQ segment. Soeumin's Octave4 Shimmer was significantly high compared with Soyangin group. Soyangin's Octave6 was significantly high compared with Soeumin group. Solyangin's 2k-4k Total Sum and B Tot E were significantly high compared with Soeumin group. 5) In Under 12 years old Female Juvenile group, there were no significant differences among constitutional groups in APQ and Energy segment. Soeumin's and Taeumin's Center Pitch and Pitch were significantly high compared with Soyangin group. Soyangin's Center freq.(1) and Center freq.(7) were significantly high compared with Soeumin and Taeeunin groups. Soyangin's and Taeumin's B Shimmer(1) and F# Shimmer(1) were significantly high compared with Soeumin group. Soeumin's D Shimmer(1) was significantly high compared with Soyangin group. Taeumin's and Soeumin's G# Shimmer(1) were significantly high compared with Soyangin group. Soyangin's and Taeumin's Octave2 were significantly high compared with Soeumin group. 6) In Over 13 years old Female Juvenile group, there were no significant differences among constitutional groups in Pitch, APQ and Octave segment. Soeumin's Octave4 Shimmer was significantly high compared with Soyangin group. Soyangin's B Dev.(1) and F Dev.(1) were significantly high compared with Soeumin group. 3. Conclusions In juvenile groups, some sound factors are regarded as useful. PSSC are thought to be the objertive way to diagnose the Consitution and more participants are needed to get more efficiencies using PSSC.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.639-642
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• 1998

This paper proposes a new wide-band beamforming which has guassian weighting. For the prupose of measurement this beam is formed by using all sensors toghether, not octave-by-octave. Weighting is applied to each sensor before time-delay compensation as a frequency-dependent function. As the resutls of the simulation of the proosed algorithm for nested linear array having 17 sensors for each octave, it is confirmed that beam can be formed with all sensors together and uniform directivity index can be achieved by proposed algorithm.

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.347-354
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• 2003

현업무연속성 관점에서 IDEF 접근방법에 의해서 주요 업무 프로세스를 파악하고, 관련 정보자산을 Skandia 모형으로 식별 한 후에, OCTAVE 접근방법에 의해서 위협을 단계적으로 분석하기 위해서, Nessus Version 1.4.2 를 이용하여 도서관 정보시스템 중에서 가장 중요한 자산인 서버에 대해서 취약성을 평가했다. 기존 OCTAVE 접근방법에 IDEF 접근방법과 Skandia 모형을 동시에 이용하는 수정된 OCTAVE 접근방법을 이용한 취약성 평가 사례를 제시했다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.2118-2138
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• 2014

Risks are involved in all phases of the software life cycle, and due to these risks, software can face various problems that can cause different negative outcomes and sometimes, in extreme cases, the failure of the software. Most of these risks lie in the legacy software migration process. These risks can create many problems, and in the worst case they can lead to the failure of the migration project. This paper explores different types of risk analysis methods such as CRAMM, CORAS, OCTAVE and VECTOR. After comparing these methods, the two suitable methods were chosen, namely, OCTAVE and VECTOR. Based on the use of these two methods, the project suggests an enhanced EOV method for risk analysis in the migration of legacy software.