• 제목/요약/키워드: residual set

검색결과 327건 처리시간 0.028초

으뜸애꽃노린재 성충에 대한 착색단고추에 등록된 농약의 저독성 및 잔류독성 평가 (Evaluation of Low Toxic and Residual Toxicity of Pesticides Registrated on Sweet Pepper Greenhouse to Orius strigicollis)

  • 최병렬;박형만;김정환;이시우
    • 한국응용곤충학회지
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    • 제46권3호
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    • pp.415-423
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    • 2007
  • 화학적방제와 생물적방제를 상호보완적으로 사용하여 해충을 방제하기 위해 천적에 대한 저독성 약제와 천적의 안전방사시기를 설정하였다. 고추와 착색단고추에 등록되어 있는 52종(살충제 33종, 살균제 19종)의 살충 살균제를 충체침지처리법과 잎침지처리법으로 독성을 평가하였다. 살충제의 충체침지처리 후 애꽃노린재 성충에 대한 저독성약제는 milbemectin유제 등 14종이었으며, 잎침지처리법에 의한 저독성약제는 12종이었다. 처리한 살균제 19종은 모두 천적에 대해 저독성을 보였다. 약제살포 후 1일에 안전방사 가능한 약제는 pyraclofos, methomyl, thiodicarb, esfenvalerate bifenthrin, alpha-cyrermethrin, etofenprox, fenvalerate, imidacloprid, acetamiprid, abamectin, emamectin benzoate, spinosad, indoxacarb등 14종이었으며, 네오니코티노이드계 농약은 잔류독성이 길게 나타났다.

코로나 확진자 수 예측을 위한 BI-LSTM과 GRU 알고리즘의 성능 비교 분석 (Comparative analysis of performance of BI-LSTM and GRU algorithm for predicting the number of Covid-19 confirmed cases)

  • 김재호;김장영
    • 한국정보통신학회논문지
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    • 제26권2호
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    • pp.187-192
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    • 2022
  • 위드 코로나의 예정 발표일이 결정되었고, 위드 코로나에 가장 중요한 조건인 백신 접종을 아직 부작용 걱정 때문에 완료하지 않은 사람들이 있다. 또한 위드 코로나로 경제는 회복될 수 있지만 감염자 수는 급증할 수 있다. 본 논문은 위드 코로나에 앞서 코로나19에 대한 경각심을 깨우고자, 코로나19를 비선형 확률과정으로 예측한다. 여기서 딥러닝의 RNN중 양방향 LSTM인 BI-LSTM와 LSTM보다 gate수를 줄인 GRU를 사용하고 이것을 train set, test set, 손실함수, 잔차분석, 정규분포, 자기 상관을 통해서 비교 분석하여 어떠한 성능이 더 좋은지 비교하고 예측한다.

Comparative Molecular Field Analysis of Dioxins and Dioxin-like Compounds

  • Ashek, Ali;Cho, Seung-Joo
    • Molecular & Cellular Toxicology
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    • 제1권3호
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    • pp.157-163
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    • 2005
  • Because of their widespread occurrence and substantial biological activity, halogenated aromatic hydrocarbons are one of the important classes of contaminants in the environment. We have performed comparative molecular field analysis (CoMFA) on structurally diverse ligands of Ah (dioxin) receptor to explore the physico-chemical requirements for binding. All CoMFA models have given $q^{2}$ value of more than 0.5 and $r^{2}$ value of more than 0.83. The predictive ability of the models was validated by an external test set, which gave satisfactory predictive $r^{2}$ values. Best predictions were obtained with CoMFA model of combined modified training set ($q^{2}=0.631,\;r^{2}=0.900$), giving predictive residual value = 0.002 log unit for the test compound. We have suggested a model comprises of four structurally different compounds, which offers a good predictability for various ligands. Our QSAR model is consistent with all previously established QSAR models with less structurally diverse ligands. The implications of the CoMFA/QSAR model presented herein are explored with respect to quantitative hazard identification of potential toxicants.

Biological Feature Selection and Disease Gene Identification using New Stepwise Random Forests

  • Hwang, Wook-Yeon
    • Industrial Engineering and Management Systems
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    • 제16권1호
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    • pp.64-79
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    • 2017
  • Identifying disease genes from human genome is a critical task in biomedical research. Important biological features to distinguish the disease genes from the non-disease genes have been mainly selected based on traditional feature selection approaches. However, the traditional feature selection approaches unnecessarily consider many unimportant biological features. As a result, although some of the existing classification techniques have been applied to disease gene identification, the prediction performance was not satisfactory. A small set of the most important biological features can enhance the accuracy of disease gene identification, as well as provide potentially useful knowledge for biologists or clinicians, who can further investigate the selected biological features as well as the potential disease genes. In this paper, we propose a new stepwise random forests (SRF) approach for biological feature selection and disease gene identification. The SRF approach consists of two stages. In the first stage, only important biological features are iteratively selected in a forward selection manner based on one-dimensional random forest regression, where the updated residual vector is considered as the current response vector. We can then determine a small set of important biological features. In the second stage, random forests classification with regard to the selected biological features is applied to identify disease genes. Our extensive experiments show that the proposed SRF approach outperforms the existing feature selection and classification techniques in terms of biological feature selection and disease gene identification.

Wind Attribute Time Series Modeling & Forecasting in IRAN

  • Ghorbani, Fahimeh;Raissi, Sadigh;Rafei, Meysam
    • 동아시아경상학회지
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    • 제3권3호
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    • pp.14-26
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    • 2015
  • A wind speed forecast is a crucial and sophisticated task in a wind farm for planning turbines and corresponds to an estimate of the expected production of one or more wind turbines in the near future. By production is often meant available power for wind farm considered (with units KW or MW depending on both the wind speed and direction. Such forecasts can also be expressed in terms of energy, by integrating power production over each time interval. In this study, we technically focused on mathematical modeling of wind speed and direction forecast based on locally data set gathered from Aghdasiyeh station in Tehran. The methodology is set on using most common techniques derived from literature review. Hence we applied the most sophisticated forecasting methods to embed seasonality, trend, and irregular pattern for wind speed as an angular variables. Through this research, we carried out the most common techniques such as the Box and Jenkins family, VARMA, the component method, the Weibull function and the Fourier series. Finally, the best fit for each forecasting method validated statistically based on white noise properties and the final comparisons using residual standard errors and mean absolute deviation from real data.

A semi-analytical study on the nonlinear pull-in instability of FGM nanoactuators

  • Attia, Mohamed A.;Abo-Bakr, Rasha M.
    • Structural Engineering and Mechanics
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    • 제76권4호
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    • pp.451-463
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    • 2020
  • In this paper, a new semi-analytical solution for estimating the pull-in parameters of electrically actuated functionally graded (FG) nanobeams is proposed. All the bulk and surface material properties of the FG nanoactuator vary continuously in thickness direction according to power law distribution. Here, the modified couple stress theory (MCST) and Gurtin-Murdoch surface elasticity theory (SET) are jointly employed to capture the size effects of the nanoscale beam in the context of Euler-Bernoulli beam theory. According to the MCST and SET and accounting for the mid-plane stretching, axial residual stress, electrostatic actuation, fringing field, and dispersion (Casimir or/and van der Waals) forces, the nonlinear nonclassical equation of motion and boundary conditions are obtained derived using Hamilton principle. The proposed semi-analytical solution is derived by employing Galerkin method in conjunction with the Particle Swarm Optimization (PSO) method. The proposed solution approach is validated with the available literature. The freestanding behavior of nanoactuators is also investigated. A parametric study is conducted to illustrate the effects of different material and geometrical parameters on the pull-in response of cantilever and doubly-clamped FG nanoactuators. This model and proposed solution are helpful especially in mechanical design of micro/nanoactuators made of FGMs.

Estimation of Genetic Parameters for Milk Production Traits Using a Random Regression Test-day Model in Holstein Cows in Korea

  • Kim, Byeong-Woo;Lee, Deukhwan;Jeon, Jin-Tae;Lee, Jung-Gyu
    • Asian-Australasian Journal of Animal Sciences
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    • 제22권7호
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    • pp.923-930
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    • 2009
  • This study was conducted to compare three models: two random regression models with and without considering heterogeneity in the residual variances and a lactation model (LM) for evaluating the genetic ability of Holstein cows in Korea. Two datasets were prepared for this study. To apply the test-day random regression model, 94,390 test-day records were prepared from 15,263 cows. The second data set consisted of 14,704 lactation records covering milk production over 305 days. Raw milk yield and composition data were collected from 1998 to 2002 by the National Agricultural Cooperative Federation' dairy cattle improvement center by way of its milk testing program, which is nationally based. The pedigree information for this analysis was collected by the Korean Animal Improvement Association. The random regression models (RRMs) are single-trait animal models that consider each lactation record as an independent trait. Estimates of covariance were assumed to be different ones. In order to consider heterogeneity of residual variance in the analysis, test-days were classified into 29 classes. By considering heterogeneity of residual variance, variation for lactation performance in the early lactation classes was higher than during the middle classes and variance was lower in the late lactation classes than in the other two classes. This may be due to feeding management system and physiological properties of Holstein cows in Korea. Over classes e6 to e26 (covering 61 to 270 DIM), there was little change in residual variance, suggesting that a model with homogeneity of variance be used restricting the data to these days only. Estimates of heritability for milk yield ranged from 0.154 to 0.455, for which the estimates were variable depending on different lactation periods. Most of the heritabilities for milk yield using the RRM were higher than in the lactation model, and the estimate of genetic variance of milk yield was lower in the late lactation period than in the early or middle periods.

배추나비고치벌 (Cotesia glomerata)에 대한 저독성 약제 및 잔류독성 (Selection of Low Toxic Pesticides and Residual Toxicity to Cotesia glomerata)

  • 최병렬;이시우;박형만
    • 한국응용곤충학회지
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    • 제46권2호
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    • pp.251-259
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    • 2007
  • 고랭지배추 재배지에 발생하는 나방류 해충의 방제에 생물적방제와 화학적방제의 조화로운 이용을 위하여, 배추 재배 시 사용되는 약제 중 배추좀나방의 천적인 배추나비고치별 (Cotesia glomerata) 에 대해 저독성을 보이는 약제를 선발하고 잔류독성을 평가하였다. 배추나비고치벌에 대한 저독성 약제선발 방법으로 먹이처리법 (Diet treatment method), 잎침지처리법 (Leaf dipping method) 및 충제침지처리법(Body dipping method) 을 확립하였다. 배추에 등록되어 있는 주요 살충제 31 종을 추천농도로 희석한 후 배추나비고치별 성충을 충체침지처리한 결과 22종이 저독성 약제로 선발되었으며, 배추에 등록된 살균제 및 제초제 15 종은 배추나비고치별 성충에 모두 독성이 낮았다. 배추에 13 종의 살충제를 처리하여 일수별로 배추나비고치벌 성충에 대한 잔류독성을 평가한 결과, 약제처리 l일후에 방사해도 안전한 약제는 thiacloprid, acephate, chlorfenapyr, clothianidin의 4 종이었으며, 3 일후에 방사가 가능한 약제는 imidacloprid, deltamethrin, thiamethoxam, dimethylvinphos, emamectin benzoate이었다.

농경지 내 띠형수림의 경관적 가치분석 (A Value Analysis of the Hedgerow in Cultivated Areas in point of Landscape)

  • 조현주;류연수;이현택;나정화
    • Current Research on Agriculture and Life Sciences
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    • 제27권
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    • pp.69-75
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    • 2009
  • This research regard it as most meaningful to realize the importance of the hedgerow in cultivated areas functioning as a residual landscape element in rural landscape and set improvement guidelines through landscape character and value analysis to cope with landscape malfunction. The results of summary are as follows. 1) First of all, as a result of landscape character analysis of edge stripe in cultivated land in total of 7 case areas, for example, the edge stripe in cultivated land in case area 4 and 8 maintain the width of 10m and are assessed satisfactory in terms of vegetation development condition, appearance of living species, connectivity, buffer capacity and so on. Also, as a result of structural character of correlation analysis among items, the correlation coefficient between width and appearance of living species showed 0.941, the highest. Following are connectivity and appearance of living species and width and buffer capacity respectively: 0.841 and 0.740. 2) As a result of landscape character analysis of uncultivated stripe in total of 6 case areas, it is analyzed that case area 4 maintains the widest width as almost 4.5m average width and considered valuable as I degree in vegetation development condition, filtering, and connectivity. 3) As a result of problem analysis of uncultivated stripe, for example, case 3, 9, and 10 was analyzed that the width was below 1.25m which is too small to carry out the function of buffer and habitat for living creature, so minimum standard width was set between 4~5m through comprehensive analysis of character of each case area. Based on the result above landscape character, value and problem analysis, main improvement guidelines are set in terms of width, connectivity, filtering, and vegetation development, restrictive practices and so on.

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지연제 첨가에 의한 회수수의 재이용 (Recycling of Sludgewater containing Set-retarder)

  • 송영진;아타라시 다이키
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2008년도 추계 학술발표회 제20권2호
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    • pp.761-764
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    • 2008
  • 최근 폐기물 적정처리 및 유효활용문제 등의 해결에 대하여 국가적차원에서 활성화됨에 따라 레미콘공장에 있어서도 회수콘크리트나 레미콘차, 믹서 등의 세척 후 발생한 시멘트슬러지, 회수수를 재이용하려는 연구가 진행되고 있다. 그러나 대부분의 레미콘공장에서는 종래의 처리방법으로는 비용 및 환경적 부담을 많이 느끼고 있음에도 불구하고 인식부족으로 인해 재이용에 난색을 표하는 경우가 많다. 이러한 상황에서 지연제를 첨가하여 시멘트의 수화를 억제한 회수수를 새로운 콘크리트에 일부분 재이용하여도 콘크리트 성상에 악영향을 끼치지 않는다는 것이 많은 연구를 통해 밝혀지고 있다. 그러나 일정시간 초기수화가 진행된 회수수중의 일부 수화한 시멘트에 대한 지연메카니즘 연구는 매우 부족한 것이 사실이다. 이에 본 연구는 먼저 일부 수화한 시멘트에 대한 지연제의 지연메카니즘을 확립하고 수화반응 제어기술을 확립할 목적으로 연구를 행한 결과, 회수수 중의 지연제의 잔존농도을 제어하는 것으로서 일부 수화한 시멘트의 수화반응에 대한 제어가 가능한 것을 알게 되었다.

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