• Title/Summary/Keyword: 통계적 후처리 과정

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Modelling Grammatical Pattern Acquisition using Video Scripts (비디오 스크립트를 이용한 문법적 패턴 습득 모델링)

  • Seok, Ho-Sik;Zhang, Byoung-Tak
    • Annual Conference on Human and Language Technology
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    • 2010.10a
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    • pp.127-129
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    • 2010
  • 본 논문에서는 다양한 코퍼스를 통해 언어를 학습하는 과정을 모델링하여 무감독학습(Unsupervised learning)으로 문법적 패턴을 습득하는 방법론을 소개한다. 제안 방법에서는 적은 수의 특성 조합으로 잠재적 패턴의 부분만을 표현한 후 표현된 규칙을 조합하여 유의미한 문법적 패턴을 탐색한다. 본 논문에서 제안한 방법은 베이지만 추론(Bayesian Inference)과 MCMC (Markov Chain Mote Carlo) 샘플링에 기반하여 특성 조합을 유의미한 문법적 패턴으로 정제하는 방법으로, 랜덤하이퍼그래프(Random Hypergraph) 모델을 이용하여 많은 수의 하이퍼에지를 생성한 후 생성된 하이퍼에지의 가중치를 조정하여 유의미한 문법적 패턴을 탈색하는 방법론이다. 우리는 본 논문에서 유아용 비디오의 스크립트를 이용하여 다양한 유아용 비디오 스크립트에서 문법적 패턴을 습득하는 방법론을 소개한다.

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Spectrum Based Excitation Extraction for HMM Based Speech Synthesis System (스펙트럼 기반 여기신호 추출을 통한 HMM기반 음성합성기의 음질 개선 방법)

  • Lee, Bong-Jin;Kim, Seong-Woo;Baek, Soon-Ho;Kim, Jong-Jin;Kang, Hong-Goo
    • The Journal of the Acoustical Society of Korea
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    • v.29 no.1
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    • pp.82-90
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    • 2010
  • This paper proposes an efficient method to enhance the quality of synthesized speech in HMM based speech synthesis system. The proposed method trains spectral parameters and excitation signals using Gaussian mixture model, and estimates appropriate excitation signals from spectral parameters during the synthesis stage. Both WB-PESQ and MUSHRA results show that the proposed method provides better speech quality than conventional HMM based speech synthesis system.

Development of Porcine Pericardial Heterograft for Clinical Application (Tensile Strength-thickness) (돼지의 심낭을 이용한 이종이식 보철편의 개발 (장력-두께간의 구조적 특성))

  • Kim, Kwan-Chang;Lee, Cheul;Choi, Chang-Hue;Lee, Chang-Ha;Oh, Sam-Sae;Park, Seong-Sik;Kim, Kyung-Hwan;Kim, Woong-Han;Kim, Yong-Jin
    • Journal of Chest Surgery
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    • v.41 no.2
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    • pp.170-176
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    • 2008
  • Background: Bioprosthetic devices for treating cardiovascular diseases and defects may provide alternatives to autologous and homograft tissue. We evaluated the mechanical and physical conditions of a porcine pericardial bioprosthesis treated with Glutaraldehyde (GA), Ethanol, or Sodium dodecylsulfate (SDS) before implantation. Material and Method: 1) Thirty square-shaped pieces of porcine pericardium were fixed in 0.625%, 1.5% or 3% GA solution. 2) The tensile strength and thickness of these and other bioprosthesis, including fresh porcine pericardium, fresh human pericardium, and commercially produced heterografts, were measured. 3) The tensile strength and thickness of the six treated groups (GA-Ethanol, Ethanol-GA, SDS only, SDS-GA, Ethanol-SDS-GA and SDS-Ethanol-GA) were measured. Result: 1) Porcine pericardium fixed in 0.625% GA the thinnest and had the lowest tensile strength, with thickness and tensile strength increasing with the concentration of GA solution. The relationship between tensile strength and thickness of porcine pericardium increased at thicknesses greater than 0.1mm (correlation-coefficient 0.514, 0<0.001). 2) There were no differences in tensile strength or thickness between commercially-produced heterografts. 3) Treatment of GA, ethanol, or SDS minimally influenced thickness and tensile strength of porcine pericardium, except for SDS alone. Conclusion: Porcine pericardial bioprosthesis greater than 0.1 mm thick provide better handling and advantageous tensile strength. GA fixation did not cause physical or mechanical damage during anticalcification or decellularization treatment, but combining SDS-ethanol pre-treatment and GA fixation provided the best tensile strength and thickness.

Investigation of Error Factors from an Impact Hammer Test for Developing a Statistic Based Technique for Model Updating (통계 기반 모델 개선을 위한 임팩트 해머 실험의 오차 요인 분석)

  • Lee, Su;Lee, Jin Woo
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.2
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    • pp.185-198
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    • 2016
  • In this work, experimental errors from an impact hammer test were investigated to develop a statistic-based technique for updating a finite element model. Digital signal processing was analyzed by using theoretical models and experiments when errors occurred during the experimental procedure. First, the duration time and peak level of the excitation signal, the stiffness and position of elastic springs connecting the specimen as well as the support, position and mass of the accelerometer were considered as error factors during the experiment. Then the picket fence effect, leakage, and exponential window function were considered as candidate error factors during the digital signal processing. Finally, methods to reduce errors are suggested.

Performance Evaluation of Battery Remaining Time Estimation Methods According to Outlier Data Processing Policies in Mobile Devices (모바일 기기에서 이상치 데이터 처리 정책에 따른 배터리 잔여 시간 예측 기법의 평가)

  • Tak, Sungwoo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.7
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    • pp.1078-1090
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    • 2022
  • The distribution patterns of battery usage time data per battery level are able to affect the performance of estimating battery remaining time in mobile devices. Outliers may mainly affect the estimation performance of statistical regression methods. In this paper, we propose a software framework that detects and processes outliers to improve the estimation performance of statistical regression methods. The proposed framework first detects outliers that degrade the estimation performance. The proposed framework replaces outliers with smoothed data. The difference between an outlier and its replaced data will be properly distributed into individual data. Finally, individual data are reinforced to improve the estimation performance. The numerical results obtained by experimenting the proposed framework confirmed that it yielded good performance of estimating battery remaining time.

Development of a Stock Volatility Detection Model Using Artificial Intelligence (인공지능 기반 주식시장 변동성 이상탐지모델 개발)

  • HyunJung Kim;Heonchang Yu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.576-579
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    • 2024
  • 경제 위기 대비를 위해 인공지능을 활용한 주식시장 변동성 이상을 탐지하는 목적을 가지고 있다. 글로벌 이슈와 경제 위기 대비를 위해 주식시장 변동성 예측의 중요성이 부각되고 있으며, 기존의 주식시장 변동성 지수인 VIX 의 한계로 인해 더 복잡한 모델 및 인공지능을 활용한 연구에 관심이 집중되고 있다. 기존의 주식시장 변동성 예측에 관한 연구들은 통계적인 방법을 사용했으며 인공지능을 이용한 연구 또한 대부분 이상치 구간을 표시하여 예측을 목표로 하고 있으나 이러한 접근법은 라벨이 있는 데이터 수집 어려움, 클래스 불균형 문제가 있다. 본 연구는 인공지능을 활용한 주식시장 변동성 탐지에 기여하고 지도 학습 방식 대신 비지도 학습 기반의 이상탐지모델을 사용하여 주식시장 변동성을 예측하는 새로운 방법론을 제안한다. 본 연구에서 개발한 인공지능 모델은 IsolationForest 모델을 활용하며, 시계열 데이터를 전처리한 후 정상성을 확보하는 등의 과정을 거친다. 실험 결과로 인공지능 모델이 주요 경제이슈를 이상치로 검출하는 성능을 확인하였으며 재현율 약 93.6%, 정밀도 100%로 높은 성능을 달성했다.

Robust Part-of-Speech Tagger using Statistical and Rule-based Approach (통계와 규칙을 이용한 강인한 품사 태거)

  • Shim, Jun-Hyuk;Kim, Jun-Seok;Cha, Jong-Won;Lee, Geun-Bae
    • Annual Conference on Human and Language Technology
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    • 1999.10d
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    • pp.60-75
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    • 1999
  • 품사 태깅은 자연 언어 처리의 가장 기본이 되는 부분으로 상위 자연 언어 처리 부분인 구문 분석, 의미 분석의 전처리로 사용되고, 독립된 응용으로 언어의 정보를 추출하거나 정보 검색 등의 응용에 사용되어 진다. 품사 태깅은 크게 통계에 기반한 방법, 규칙에 기반한 방법, 이 둘을 모두 이용하는 혼합형 방법 등으로 나누어 연구되고 있다. 포항공대 자연언어처리 연구실의 자연 언어 처리 엔진(SKOPE)의 품사 태깅 시스템 POSTAG는 미등록어 추정이 강화된 혼합형 품사 태깅 시스템이다 본 시스템은 형태소 분석기, 통계적 품사 태거, 에러 수정 규칙 후처리기로 구성되어 있다. 이들은 각각 단순히 직렬 연결되어 있는 것이 아니라 형태소 접속 테이블을 기준으로 분석 과정에서 형태소 접속 그래프를 생성하고 처리하면서 상호 밀접한 연관을 가진다. 그리고, 미등록어용 패턴사전에 의해 등록어와 동일한 방법으로 미등록어를 처리함으로써 효율적이고 강건한 품사 태깅을 한다. 한편, POSTAG에서 사용되는 태그세트와 한국전자통신연구원(ETRI)의 표준 태그세트 간에 양방향으로 태그세트 매핑을 함으로써, 표준 태그세트로 태깅된 코퍼스로부터 POSTAC를 위한 대용량 학습자료를 얻고 POSTAG에서 두 가지 태그세트로 품사 태깅 결과 출력이 가능하다. 본 시스템은 MATEC '99'에서 제공된 30000어절에 대하여 표준 태그세트로 출력한 결과 95%의 형태소단위 정확률을 보였으며, 태그세트 매핑을 제외한 POSTAG의 품사 태깅 결과 97%의 정확률을 보였다.

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Quality improvement of retorted frozen seafood by adding sorbitol (솔비톨 첨가에 의한 냉동 해산물의 레토르트 후 품질 향상)

  • Cho, Won-Il;Song, Sang-Hoon
    • Korean Journal of Food Science and Technology
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    • v.49 no.1
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    • pp.85-89
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    • 2017
  • This study was conducted to prevent hardened texture in retorted frozen seafoods such as small octopus, squid, and top shell by adding sorbitol; the strength of mechanical hardness and other qualities were measured. The hardness of the 3 kinds of seafood pretreated with 2-4% (w/w) sorbitol solution decreased by 9-36% compared to the control. The hardness of retorted frozen octopus, squid, and top shell treated with sorbitol solution upon freezing significantly decreased to 1670, 1015, and $521g_f/cm^2$ compared to levels in untreated food of 1841, 1291, and $815g_f/cm^2$ (p<0.05), respectively. Yields based on weight in retorted seafood treated with sorbitol were increased by 2-5% compared to untreated samples. Additionally, the overall preference of texture was 0.4 points higher than that of control samples in descriptive sensory evaluation (p<0.05). The tissue softening of pretreated seafood was based on decreased dewatering due to the formation of small ice crystals during freezing as a result of sorbitol treatment.

The City Rhinoreaction Research of the Corn Feed for the Heavy Metal Removal of the Pig Ordure Sludge Using the Citric Acid and Stability Evaluation (구연산을 이용한 돈분슬러지의 중금속 제거 및 안정성평가를 위한 사료용 옥수수의 시비반응 연구)

  • Oh, Tae-Seok;Kim, Chang-Ho;Choi, Bong-Su
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.31 no.4
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    • pp.395-408
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    • 2011
  • The study which it sees exclusions the copper and the zinc which contain in pig sludge, It study pig sludge resources fertilizer production which are rational, pig sludge resources fertilizers after seeding, silage corn it investigates growth characteristics and forage value, the result which investigates pig sludge resources fertilizers effectiveness with afterwards is same. With fertilizer ingredients in pig sludge chemical qualities, the content of the nitrogen and the phosphoric acid comes 4.4% to be 6.29%, pH 7.02 and content of the copper and the zinc which is a heavy metal which contains in pig sludge with 805 mg/kg and 1,704 mg/kg, it is a restrictive standard of the fertilizer, 300 mg/kg and 900 mg/kg it sees to be high, it manufactures citric acid 1 hydrate with the organic acid solution, heavy metals of pig sludge where it is a mixture ratio of the organic acid solution, it divides to 25%, 50%, 75% and 100% 4 kind levels, the result which measures the heavy metal exclusion ratio of the copper and the zinc, the mixture ratio of the organic acid solution to be many exclusion ratio of the copper and the zinc is showing a just interrelation, from organic acid solution 100% level content of pig sludge remains copper and zinc 330.03 mg/kg and 41.28 mg/kg, it shows the exclusion ratio of copper 59% zinc 97%. 'Cheonganok' growth characteristics with citric acid 1 hydrate, Treatment 2 and control growth characteristics etc, it exclusion the copper and the zinc it doesn't appear on significant difference statistically but, treatment 3 after only pig sludge in resources disposal where it seeding, growth characteristics of leaf area etc. is badness, it compares in control and treatment 2 the growth characteristics badness, it is appearing, it is caused by with disease and insects occurrence of $Ostrinia$ $furnacalis$ and brown spot, the damage was many. From forage value, Treatment 2 where it exclusion the heavy metal with the citric acid 1 hydrate with control it compares and there are not significant difference from crude protein and ADF and NDF contents etc., seeding only Pig Sludge in resources disposal treatment 3, it is caused by with $Ostrinia$ $furnacalis$ etc., trunk and aging of the leaf to be high ADF content is low. but from crude protein, the nitrogen ingredient which pig sludge has and interrelation it seemed and high numerical value were confirmed.

Effect of Osmotic and Solid Matrix Priming to Improve Germination and Early Growth of Carrot and Onion Seed (Osmotic Priming 및 Solid Matrix Priming 처리에 의한 당근과 양파종자의 발아증진과 초기생육에 미치는 영향)

  • 강점순
    • Journal of Bio-Environment Control
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    • v.13 no.3
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    • pp.135-142
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    • 2004
  • The objective of this study was carried out to determine which method is effective for improving seed germination in carrot and onion among osmotic or solid matrix priming. Seeds were osmotic primed with -0.5 MPa polyethylene glycol 8000 (PEG) solution and solid matrix primed with Micro Cel E (seed, Micro Cel E, and water mixed with the ratio of 4.0:2.0:8.0 by weight for carrot, and the ratio of 4.0:1.2:5.0 for onion at $20^{\circ}C$ for 4 days). Seeds were rapidly absorbed water after osmotic priming and solid matrix priming treatment. The moisture content of solid matrix primed seeds was lower than that of osmotic primed seeds in carrot and onion. Osmotic priming and solid matrix priming did not influenced on increasing of percent germination, but $T_{50}$ of treated seeds was shorter than those of untreated seeds at four temperature regimes. The effects of osmotic or solid matrix priming in reducing the $T_{50}$ was greater when the seeds were germinated at $15^{\circ}C$ than at $25^{\circ}C$ and $30^{\circ}C$ temperature. Solid matrix primed seeds germinated faster than osmotic primed seeds at all temperature in both carrot and onion. After priming, surface-dried seeds germinated faster than dried-back seeds in carrot and onion. Emergence speed of carrot and onion seeds was faster than untreated seeds by osmotic priming or SMP treatment although the final emergence percentage was not significantly influenced. On the other hand, early growth was not significantly influenced by osmotic priming or SMP treatment of carrot and onion seeds.