• Title/Summary/Keyword: Incremental sampling

검색결과 34건 처리시간 0.021초

Gy의 입자성 물질 시료채취이론에 근거한 토양 시료 채취량 결정 (Determination of Soil Sample Size Based on Gy's Particulate Sampling Theory)

  • 배범한
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제16권6호
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    • pp.1-9
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    • 2011
  • A bibliographical review of Gy sampling theory for particulate materials was conducted to provide readers with useful means to reduce errors in soil contamination investigation. According to the Gy theory, the errors caused by the heterogeneous nature of soil include; the fundamental error (FE) caused by physical and chemical constitutional heterogeneity, the grouping and segregation error (GE) aroused from gravitational force, long-range heterogeneous fluctuation error ($CE_2$), the periodic heterogeneity fluctuation error ($CE_3$), and the materialization error (ME) generated during physical process of sample treatment. However, the accurate estimation of $CE_2$ and $CE_3$ cannot be estimated easily and only increasing sampling locations can reduce the magnitude of the errors. In addition, incremental sampling is the only method to reduce GE while grab sampling should be avoided as it introduces uncertainty and errors to the sampling process. Correct preparation and operation of sampling tools are important factors in reducing the incremental delimitation error (DE) and extraction error (EE) which are resulted from physical processes in the sampling. Therefore, Gy sampling theory can be used efficiently in planning a strategy for soil investigations of non-volatile and non-reactive samples.

Naive Bayes 문서 분류기를 위한 점진적 학습 모델 연구 (A Study on Incremental Learning Model for Naive Bayes Text Classifier)

  • 김제욱;김한준;이상구
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 2001년도 춘계 Conference: CRM과 DB응용 기술을 통한 e-Business혁신
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    • pp.331-341
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    • 2001
  • 본 논문에서는 Naive Bayes 문서 분류기를 위한 새로운 학습모델을 제안한다. 이 모델에서는 라벨이 없는 문서들의 집합으로부터 선택한 적은 수의 학습 문서들을 이용하여 문서 분류기를 재학습한다. 본 논문에서는 이러한 학습 방법을 따를 경우 작은 비용으로도 문서 분류기의 정확도가 크게 향상될 수 있다는 사실을 보인다. 이와 같이, 알고리즘을 통해 라벨이 없는 문서들의 집합으로부터 정보량이 큰 문서를 선택한 후, 전문가가 이 문서에 라벨을 부여하는 방식으로 학습문서를 결정하는 것을 selective sampling이라 한다. 본 논문에서는 이러한 selective sampling 문제를 Naive Bayes 문서 분류기에 적용한다. 제안한 학습 방법에서는 라벨이 없는 문서들의 집합으로부터 재학습 문서를 선택하는 기준 측정치로서 평균절대편차(Mean Absolute Deviation), 엔트로피 측정치를 사용한다. 실험을 통해서 제안한 학습 방법이 기존의 방법인 신뢰도(Confidence measure)를 이용한 학습 방법보다 Naive Bayes 문서 분류기의 성능을 더 많이 향상시킨다는 사실을 보인다.

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오염부지 최적 개념모델 수립을 위한 전략적 샘플링 기법 소개 (Introduction to the Strategic Sampling Approaches to Construct Optimal Conceptual Model of a Contaminated Site)

  • 박현지;김한석;윤성택;조호영;권만재
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제25권2_spc호
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    • pp.28-54
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    • 2020
  • Even though a systematic sampling approach is very crucial in both the general and detailed investigation phases to produce the best conceptual site model for contaminated sites, the concept is not yet established in South Korea. The U.S. Environmental Protection Agency (EPA) issued the 'Strategic Sampling Approaches Technical guide' in 2018 to help environmental professionals choose which sampling approaches may be needed and most effective for given site conditions. The EPA guide broadly defines strategic sampling as the application of focused data collection across targeted areas of the conceptual site model (CSM) to provide the appropriate amount and type of information needed for decision-making. These strategic sampling approaches can prevent the essential data from missing, minimize the uncertainty of projects and secure the data which are necessary for the important site-decisions. Furthermore, these provide collaborative data sets through the life cycle phases of projects, which can generate more positive proofs on the site-decisions. The strategic sampling approaches can be divided by site conditions. This technical guide categorized it into eight conditions; High-resolution site characterization in unconsolidated environments, High-resolution site characterization in fractured sedimentary rock environments, Incremental sampling, Contaminant source definition, Passive groundwater sampling, Passive sampling for surface water and sediment, Groundwater to surface water interaction, and Vapor intrusion. This commentary paper introduces specific sampling methods based on site conditions when the strategic sampling approaches are applied.

Service Innovation Strategic Consensus: A Lesson from the Islamic Banking Industry in Indonesia

  • MUAFI, Muafi;DIAMASTUTI, Erlina;PAMBUDI, Argo
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.401-411
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    • 2020
  • This study aims to analyze the agreement of service innovation using contingency approach (manager personality, organizational structure) moderated by leadership agility. The study has been carried out on Islamic banking companies' managers in Indonesia, from East Java and Yogyakarta region using purposive sampling technique with questionnaire and interviews as the method of data collection. The total number of respondents in the sample is 184. This sample is then analyzed using Euclidience Distance Simple Regression and Simple Regression Moderation method. The results prove that: (1) there is a partial fit between incremental strategy with reactive personality and mechanical organizational structure, which increases the service performance; (2) there is a partial fit between radical strategy with proactive personality and organic organizational structure, which increases the service performance; (3) leadership agility is able to strengthen the fit of the relationship between incremental innovation strategy and reactive personality toward service performance; (4) leadership agility is able to strengthen the fit the relationship between radical innovation strategy and proactive personality toward service performance; (5) leadership agility is able to strengthen the fit of the relationship between incremental innovation strategy and mechanical organizational structure toward service performance; and (6) leadership agility is able to strengthen the fit of the relationship between radical innovation strategy and organic organizational structure toward service performance.

적은 면적을 갖는 저전력, 고해상도 확장 개수 A/D 변환기 설계 (A Design of Low Power, High Resolution Extended-Counting A/D Converter with Small Chip Area)

  • 김정열;임신일
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(5)
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    • pp.47-50
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    • 2002
  • An extended-counting analog to digital converter (ADC) is designed to have a high resolution(14bit) with low power consumption and small dia area. First order sigma-delta modulator with a simple counter for incremental operation eliminates the need of big decimation filter in conventional sigma-delta type ADC. To improve the accuracy and linearity, extended mode of successive approximation is followed. For 14-bit conversion operation, total 263 clocks(1 clock for reset, 256 clocks for incremental operation and extended 6 clocks for successive approximation operation) are needed with the sampling rate of 10 Ms/s This ADC is implemented in a 0.6um standard CMOS technology with a die area of 1 mm ${\times}$ 0.75 mm.

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Naive Bayes 문서 분류기를 위한 점진적 학습 모델 연구 (A Study on Incremental Learning Model for Naive Bayes Text Classifier)

  • 김제욱;김한준;이상구
    • 정보기술과데이타베이스저널
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    • 제8권1호
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    • pp.95-104
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    • 2001
  • In the text classification domain, labeling the training documents is an expensive process because it requires human expertise and is a tedious, time-consuming task. Therefore, it is important to reduce the manual labeling of training documents while improving the text classifier. Selective sampling, a form of active learning, reduces the number of training documents that needs to be labeled by examining the unlabeled documents and selecting the most informative ones for manual labeling. We apply this methodology to Naive Bayes, a text classifier renowned as a successful method in text classification. One of the most important issues in selective sampling is to determine the criterion when selecting the training documents from the large pool of unlabeled documents. In this paper, we propose two measures that would determine this criterion : the Mean Absolute Deviation (MAD) and the entropy measure. The experimental results, using Renters 21578 corpus, show that this proposed learning method improves Naive Bayes text classifier more than the existing ones.

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샘플링에 의한 시뮬레이션 결과의 압축 (Compression of Simulation Results by Sampling)

  • 안태균;최기영
    • 전자공학회논문지A
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    • 제31A권5호
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    • pp.158-169
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    • 1994
  • It is very common in today 's design practice to simulate a big design with a large set of test vectors thereby generating a huge set of data (simulation results) to be analyzed. As the design grows, the simulation results grow and become harder to handled. In this paper, we present algorithms for the compression and regeneration of simulation results. The compression is performed by sampling nets in a circuit. If the user wants to examine the lost part of the data, it is quickly regenerated by applying incremental simulation technique. Experimental results obtained for several practical circuits show that the compression ratio of 10 is easily obtained while maintaining a reasonably fast regeneration of data on a 15.7 MIPS workstation. Using the proposed method we can effectively reduce debug cycle time.

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C소아치과의원의 개량형 Dentocult-SM검사를 이용한 계속관리에 관한 조사 연구 (A study on the incremental oral health care of C pediatric clinic using a Dentocult-SM test)

  • 우희선
    • 한국치위생학회지
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    • 제8권2호
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    • pp.39-51
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    • 2008
  • The research was conducted to 100 child patients selected by random sampling, which got a Dentocult-SM test in the first visit and then was being continuously managed, out of child patients of a pediatric clinic located in Gyeonggi-do. The period of there search is one year from June 2007 to May 2008, Using Dentocult-SM test, we analyzed the correlation between the distribution of dental plaque, a streptococcus mutans in saliva and condition of dental caries cavity in the teeth of child patients, then we measured the distribution of a streptococcusmutans. According to SM score, we applied incremental oral heath care for child patients to clinical and obtained the following results, 1. In terms of the age of child patients in research, the number of 3 years old patients was 29(lst ranked), the number of 2 years old patients was 28(2nd ranked). 2. The result of SM score showed that female child patients(52.0%) was higher than male ones in negative, male child patients(52.0%) was higher than female ones in mild, female child patients(68.2%) was higher than male ones in moderate, male child patients(57.1%) was higher than female ones in severe. 3. At the first visit, the SM score showed statistically remarkable difference between dt and dmft. We can also confirm the average of severe is the highest. 4. At the second visit, the SM score showed statistically remarkable difference among dt, ft, and dmft index We can also confirm the average of severe is the highest. 5. At the third visit, The SM score showed statistically remarkable difference among dt, ft, and dmft index We can also confirm the average of severe is the highest. 6. The comparison of dmft index differences to SM score showed statistically no remarkable difference in incremental oral heath care for negative and mild, In addition to that, we can confirm that the incremental oral heath care makes statistically remarkable differences in moderate and severe. 7. The comparison of dt index differences to SM score showed statistically no remarkable difference in incremental oral heath care for negative, mild, and moderate, In addition to that, we can con firm that the incremental oral heath care makes statistically remarkable differences in severe. 8. The comparison of mt index differences to SM score showed statistically no remarkable difference in incremental oral heath care for mild and moderate, In addition to that, we can confirm that the incremental oral heath care makes statistically remarkable differences m severe. 9. The comparison of ft index differences to SM score showed statistically no remarkable difference in incremental oral heath care for mild, In addition to that, we can confirm that the incremental oral heath care makes statistically remarkable differences in negative, moderate, and severe. 10. According to the comparison of dmft index to the age, the 4 years old patients showed the highest number(5.50 in the first visit and 6,08 in the second one). In the third visit, the 6 years old patients showed the highest number(7.00). By the above results, we can find that the incremental oral heath care by SM score makes the results of oral care better. Therefore, the improvement or maintenance in oral health of child patients needs continuing personal oral health management and regular systematic management focused on prevention by the specialist.

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광주지역 미세먼지(PM-10)의 다환방향족탄화수소 분포 특성 및 발생원 추정 (Distribution Characteristics and Source Estimation of Polycyclic Aromatic Hydrocarbons in PM-10 from Gwangju)

  • 김승호;박병훈;조민철;나혜윤;박원형;서광엽;이세행;주흥수
    • 한국환경과학회지
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    • 제32권4호
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    • pp.243-257
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    • 2023
  • This study was conducted to investigate the distribution characteristics, source identification, and health risk of polycyclic aromatic hydrocarbons (PAHs) present in particulate matter 10 (PM-10), in Gwangju. PM-10 samples were collected from September 2021 to August 2022 from three sampling sites, one located in each of the following areas: green, residential, and industrial. The average concentrations of PAHs were found to be higher in the industrial area (9.75±6.51 ng/㎥) than in the green (6.90±2.41 ng/㎥) and residential (6.74±2.38 ng/㎥) areas. Throughout the year and across all sites, five-ring PAHs accounted for the largest proportion (29.8-34.5%) of all PAHs. The concentrations of PAHs showed distinct seasonal variations, with the highest concentration observed in winter, followed by autumn, spring, and summer. Source apportionment analyses were performed using diagnostic ratios and principal component analyses, which indicated that coal/biomass combustion and vehicle emissions were the primary sources of PAHs in PM-10. The incremental lifetime cancer risk was estimated for all age groups at all sampling sites, and the results revealed a much lower risk level than the standard acceptable risk level (1×10-6).