• Title/Summary/Keyword: recursive

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Prediction of Non-Genotoxic Carcinogenicity Based on Genetic Profiles of Short Term Exposure Assays

  • Perez, Luis Orlando;Gonzalez-Jose, Rolando;Garcia, Pilar Peral
    • Toxicological Research
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    • v.32 no.4
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    • pp.289-300
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    • 2016
  • Non-genotoxic carcinogens are substances that induce tumorigenesis by non-mutagenic mechanisms and long term rodent bioassays are required to identify them. Recent studies have shown that transcription profiling can be applied to develop early identifiers for long term phenotypes. In this study, we used rat liver expression profiles from the NTP (National Toxicology Program, Research Triangle Park, USA) DrugMatrix Database to construct a gene classifier that can distinguish between non-genotoxic carcinogens and other chemicals. The model was based on short term exposure assays (3 days) and the training was limited to oxidative stressors, peroxisome proliferators and hormone modulators. Validation of the predictor was performed on independent toxicogenomic data (TG-GATEs, Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System, Osaka, Japan). To build our model we performed Random Forests together with a recursive elimination algorithm (VarSelRF). Gene set enrichment analysis was employed for functional interpretation. A total of 770 microarrays comprising 96 different compounds were analyzed and a predictor of 54 genes was built. Prediction accuracy was 0.85 in the training set, 0.87 in the test set and increased with increasing concentration in the validation set: 0.6 at low dose, 0.7 at medium doses and 0.81 at high doses. Pathway analysis revealed gene prominence of cellular respiration, energy production and lipoprotein metabolism. The biggest target of toxicogenomics is accurately predict the toxicity of unknown drugs. In this analysis, we presented a classifier that can predict non-genotoxic carcinogenicity by using short term exposure assays. In this approach, dose level is critical when evaluating chemicals at early time points.

Real-Time Seam Tracking System Using a Visual Device with Vertical Projection of Laser Beam (레이저빔 수직투사 구조의 시각장치를 이용한 실시간 용접선추적 시스템)

  • Kim, Jin-Dae;Lee, Jeh-Won;Shin, Chan-Bai
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.10
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    • pp.64-74
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    • 2007
  • Because of the size and environment in the shipbuilding process, the portable type robot is required for the automatic seam tracking. For this reason, the structure of laser sensor should be considered in the initial design step and the coordinate transformation between welding robot and laser sensor, which is joint finder, must be identified exactly and the real time tracking algorithm based on these consideration could be developed. In this research, laser displacement sensor in which its structure is laser beam's vertical projection, is developed to recognize the location of weld joint. In practical applications, however, images of weld joints are often degraded because of the surface specularity or spatter. To overcome the problem, the constrained joint finding algorithm is proposed. In the approach of coordinate conversion rule for the visual feedback control among welding torch, robot body and laser sensor is applied by the same reference point method. In the real time seam tracking algorithms we propose constrained sampling method which uses look ahead distance. The RLS(Recursive Least Square) filter is applied to obtain the smooth tracking path from the sensitive edge data. From the experimental results, we could see the possibility that the developed laser sensor with proposed processing algorithm and real time seam tracking method can be used as a welding under the shipbuilding condition.

Teachers' Story about the Anecdotal Records in Kindergarten (유치원교사들이 이야기하는 일화기록의 한계와 과제)

  • Park, Sun Hee;Lee, Kyeong Hwa
    • Korean Journal of Childcare and Education
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    • v.10 no.4
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    • pp.71-95
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    • 2014
  • The paper explored the limitations of anecdotal records in kindergarten and presented the challenges toward authentic records. The data was collected from 7 teachers working at private kindergartens through focus group interviews (FGI) and individual follow-up interviews. The participants' conversation in the FGI and their responses in the individual interviews were analyzed according to the principles of thematic coding. The participants described the barriers from recording a child anecdote in private kindergarten and at the same time their voices implied the possibilities to overcome the difficulties. All descriptions of the participants were converged on the 3 themes with rhetoric of "from A to B". For becoming anecdotal records in kindergarten, in summary, the records at the present should be changed 1) "from formal and faithless documentation to fluent resources of children's development", 2) "from disconnectedness between the records and curriculum to recursive circulation for improving pedagogical realities", and 3) "from canned documentation written by a struggling teacher to meaningful writing produced by a teacher like researcher".

Estimating the Regularizing Parameters for Belief Propagation Based Stereo Matching Algorithm (Belief Propagation 기반 스테레오 정합을 위한 정합 파라미터의 추정방식 제안)

  • Oh, Kwang-Hee;Lim, Sun-Young;Hahn, Hee-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.1
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    • pp.112-119
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    • 2010
  • This paper defines the probability models for determining the disparity map given stereo images and derives the methods for solving the problem, which is proven to be equivalent to an energy-based stereo matching. Under the assumptions the difference between the pixel on the left image and the corresponding pixel on the right image and the difference between the disparities of the neighboring pixels are exponentially distributed, a recursive approach for estimating the MRF regularizing parameter is proposed. Usually energy-based stereo matching methods are so sensitive to the parameter that it should be carefully determined. The proposed method alternates between estimating the parameter with the intermediate disparity map and estimating the disparity map with the estimated parameter, after computing it with random initial parameter. It is shown that the parameter estimated by the proposed method converges to the optimum and its performance can be improved significantly by adjusting the parameter and modifying the energy term.

Four proofs of the Cayley formula (케일리 공식의 네 가지 증명)

  • Seo, Seung-Hyun;Kwon, Seok-Il;Hong, Jin-Kon
    • Journal for History of Mathematics
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    • v.21 no.3
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    • pp.127-142
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    • 2008
  • In this paper, we introduce four different approaches of proving Cayley formula, which counts the number of trees(acyclic connected simple graphs). The first proof was done by Cayley using recursive formulas. On the other hands the core idea of the other three proofs is the bijective method-find an one to one correspondence between the set of trees and a suitable family of combinatorial objects. Each of the three bijection gives its own generalization of Cayley formula. In particular, the last proof, done by Seo and Shin, has an application to computer science(theoretical computation), which is a typical example that pure mathematics supply powerful tools to other research fields.

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Research on Speed Estimation Method of Induction Motor based on Improved Fuzzy Kalman Filtering

  • Chen, Dezhi;Bai, Baodong;Du, Ning;Li, Baopeng;Wang, Jiayin
    • Journal of international Conference on Electrical Machines and Systems
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    • v.3 no.3
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    • pp.272-275
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    • 2014
  • An improved fuzzy Kalman filtering speed estimation scheme was proposed by means of measuring stator side voltage and current value based on vector control state equation of induction motor. The designed fuzzy adaptive controller conducted recursive online correction of measurement noise covariance matrix by monitoring the ratio of theory residuals and actual residuals to make it approach real noise level gradually, allowing the filter to perform optimal estimation to improve estimation accuracy of EKF. Meanwhile, co-simulation scheme based on MATLAB and Ansoft was proposed in order to improve simulation accuracy. Field-circuit coupling problems of induction motor under the action of vector control were solved and the parameter optimization accuracy was improved dramatically. The simulation and experimental results show that this algorithm has a strong ability to inhibit the random measurement noise. It is able to estimate motor speed accurately, and has superior static and dynamic characteristics.

Performance evaluation for the channel estimation of RLS adaptive algorithm using pilot symbols for IMT-2000 system (IMT-2000 시스템의 파일럿 심볼을 이용한 RLS 적응형 채널추정 알고리즘의 성능 평가)

  • 구제길;최형진
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.37 no.2
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    • pp.54-61
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    • 2000
  • This paper presents the performance evaluation of channel estimation algorithm using RLS algorithm lot W-CDMA reverse link over Rayleigh fading channels. By obtaining BER(Bit Error Rate) performance through computer simulations, the RLS(Recursive Least Square) algorithm is compared with the existing WMSA(Weighted Averaging)(K=1,3) and constant gain algorithm. The channel structure, modulation and pilot patterns are applied to the ARIB (Association of Radio Industries and Business) and 3GPP (3rd Generation Partnership Project) ITU-R proposal for the IMT-2000. The BER performance of RLS algorithm with linear interpolation is similar to that of WMSA(K=1) and slightly superior to that of constant gain algorithm at low Doppler frequencies. Also, RLS algorithm performance is better than that of the WMSA(K=1,3) and constant gain algorithms about 4dB at BER=2.0$\times$$10^{-2}$ and Doppler frequencies $F_D$=320Hz. With increasing Doppler frequency, therefore, the BER performance of RLS algorithm with linear interpolation is superior to WMSA(K=L.3) and constant rain algorithms.

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Real-Time Prediction of Streamflows by the State-Vector Model (상태(狀態)벡터 모형(模型)에 의한 하천유출(河川流出)의 실시간(實時間) 예측(豫測)에 관한 연구(研究))

  • Seoh, Byung Ha;Yun, Yong Nam;Kang, Kwan Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.2 no.3
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    • pp.43-56
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    • 1982
  • A recursive algorithms for prediction of streamflows by Kalman filtering theory and Self-tuning predictor based on the state space description of the dynamic systems have been studied and the applicabilities of the algorithms to the rainfall-runoff processes have been investigated. For the representation of the dynamics of the processes, a low-order ARMA process has been taken as the linear discrete time system with white Gaussian disturbances. The state vector in the prediction model formulated by a random walk process. The model structures have been determined by a statistical analysis for residuals of the observed and predicted streamflows. For the verification of the prediction algorithms developed here, the observed historical data of the hourly rainfall and streamflows were used. The numerical studies shows that Kalman filtering theory has better performance than the Self-tuning predictor for system identification and prediction in rainfall-runoff processes.

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A Study for Removing Road Shields from Mobile Mapping System of the Laser Data using RTF Filtering Techniques (RTF 필터링을 이용한 모바일매핑시스템 레이저 데이터의 도로 장애물 제거에 관한 연구)

  • Song, Hyun-Kun;Kang, Byoung-Ju;Lee, Sung-Hun;Choi, Yun-Soo
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.1
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    • pp.3-12
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    • 2012
  • It is a global trend to give attention to generating precise 3D navigation maps since eco-friendly vehicles have become a critical issue due to environmental protection and depletion of fossil fuels. To date, Mobile Mapping System (MMS) has been a efficient method to acquire the data for generating the 3D navigation maps. To achieve this goal so far in the Mobile Mapping System using the data acquisition method has been proposed to be most effective. For this study the basic RTF filter algorithm was applied to modify to fit MMS quantitative analysis derived floor 99.71%, 99.95% of the highly non-producers to maintain accuracy and high-precision 3D road could create DEM. In addition, the roads that exist within the cars, roadside tree, road cars, such as the median strips have been removed to shields it takes to get results effectively, and effective in practical applications and can be expected to improve operational efficiency is considered.

An Efficient Multicasting Algorithm and Its Performance Evaluation in Multistage Interconnection Networks (다단계 상호연결망에서 효율적인 멀티캐스팅 알고리즘과 성능 평가)

  • Kim, Jin-Soo;Chang, Jung-Hwan
    • The Journal of the Korea Contents Association
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    • v.6 no.2
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    • pp.84-92
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    • 2006
  • In this paper, we propose an efficient multicasting algorithm in multistage interconnection networks (MIN's) employing the region encoding scheme. The proposed algorithm uses the recursive scheme to recycle a multicast message at most two times through MIN, in order to send it to its desired destinations. It is composed of two recycling phases which are the copying phase and the routing phase of the multicast message. In the first phase, a source sends the message to a region that contains the largest number of destination regions, and destinations in these regions receive and store the message in this phase. The remaining destinations can finally receive the message in the second phase. This method of the algorithm can improve its performance by reducing the delay of message and the volume of traffic. Moreover, we evaluate the performance of our algorithm in terms of the average number of recycling and the number of internal links used per destination, comparing with the previously proposed algorithm.

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