• Title/Summary/Keyword: Growth Algorithm

검색결과 586건 처리시간 0.026초

교통사고 데이터의 패턴 분석과 Hybrid Model을 이용한 피해자 상해 심각도 예측 (Pattern Analysis of Traffic Accident data and Prediction of Victim Injury Severity Using Hybrid Model)

  • 주영지;홍택은;신주현
    • 스마트미디어저널
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    • 제5권4호
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    • pp.75-82
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    • 2016
  • 우리나라의 경제 성장과 도로 환경의 변화를 통해 국내 자동차 시장이 성장하였으나, 이로 인해 교통사고율 또한 증가하였고, 인명 피해가 심각한 수준이다. 이에 따라, 정부에서는 교통사고 데이터를 개방하고 문제를 해결하기 위한 정책을 수립 및 추진 중이다. 본 논문에서는 교통사고 데이터를 이용하여 클래스의 불균형을 해소하고, Hybrid Model 구축을 통한 교통사고 예측을 위해 원본 교통사고 데이터와 Sampling을 수행한 데이터를 학습 데이터로 사용한다. 두 학습데이터에 연관규칙 학습기법인 FP-Growth 알고리즘을 이용하여 교통사고 상해 심각도와 연관된 패턴을 학습한다. 두 학습 데이터의 연관 패턴을 분석을 통해 같은 연관된 패턴을 추출하고 의사결정트리와 다항 로지스틱 회귀분석기법에 연관된 속성에 가중치를 부여하여 융합형 Hybrid Model을 구축하고 교통사고 피해자 상해 심각도를 예측하는 방법에 대해 제안한다.

스위치박스 배선 유전자 알고리즘 (The Genetic Algorithm for Switchbox Routing)

  • 송호정;정찬근;송기용
    • 융합신호처리학회논문지
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    • 제4권4호
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    • pp.81-86
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    • 2003
  • 최근 VLSI 회로 설계는 자동 레이아웃(automatic layout) 툴을 사용하여 효과적으로 이루어지고 있다. 자동 레이아웃은 VLSI 칩 상에 모듈들의 위치를 결정하는 배치와 각 모듈간을 상호 연결하는 배선 두 가지의 중요한 기능으로 구성되어 있다. VLSI 칩의 성능과 면적은 이 두 가지의 기능을 수행하는 알고리즘의 성능에 따라 크게 좌우된다. 스위치박스 배선은 VLSI 설계 과정중의 하나로, 채널 배선과는 다르게 4면에 존재하는 같은 네트에 속하는 터미널들을 배선하는 문제이며, 모든 터미널들을 완전히 연결을 해야 하는 문제이다. 본 논문에서는 스위치박스 배선 문제에 대하여 유전자 알고리즘(genetic algorithm; GA)을 이용한 해 공간 탐색(solution space search) 방식을 제안하였으며, 제안한 방식을 여러 문제들에 대해 기존의 스위치박스 배선 알고리즘과 비교, 분석한 결과 거의 대부분의 문제들에서 배선 길이와 비아수 측면에서 더 좋은 결과를 얻을 수 있었다.

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DSM 잠재량 평가절차 및 알고리즘 개발 (Development of DSM Potential Evaluation Procedures and Algorithm)

  • 이창호;박종진
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 하계학술대회 논문집 D
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    • pp.917-919
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    • 1997
  • Recently, electric industry confront a strategical change and high competiveness environment in the course of deregulation. Especially, rapid growth in electricity demand, financial need for new power plant construction, and environmental problems have led to search for more efficient energy production and energy conservation technologies in Korea. Due to the potential energy and cost savings, DSM(Demand-Side Management) plays and important role in the electric resource planning. In this paper, we suggest DSM potential evaluation procedures and algorithm. Also, we present screening analysis methods for DSM potential evaluation.

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Secret Key Watermarking for Image Authentication

  • Woo, Chan-Il;In-Chul shin
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.815-818
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    • 2000
  • As the growth of internet and the diffusion of wide multimedia applications are increased, the ownership verification and authentication in communication channel for a digital image become more important. For these purpose there are many watermarking scheme available for image, video stream and audio data. In this paper we studied on techniques for integrity and authentication of digital images and proposed new watermarking algorithm. The proposed algorithm is implemented in C language on IBM-PC and the test results are shown.

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Quantitative Structure-Activity Relationship(QSAR) Study of New Fluorovinyloxycetamides

  • 조두호;이성광;김범태;노경태
    • Bulletin of the Korean Chemical Society
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    • 제22권4호
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    • pp.388-394
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    • 2001
  • Quantitative Structure-Activity Relationship (QSAR) have been established of 57 fluorovinyloxyacetamides compounds to correlate and predict EC50 values. Genetic algorithm (GA) and multiple linear regression analysis were used to select the descriptors and to generate the equations that relate the structural features to the biological activities. This equation consists of three descriptors calculated from the molecular structures with molecular mechanics and quantum-chemical methods. The results of MLR and GA show that dipole moment of z-axis, radius of gyration and logP play an important role in growth inhibition of barnyard grass.

Shadow Economy, Corruption and Economic Growth: An Analysis of BRICS Countries

  • NGUYEN, Diep Van;DUONG, My Tien Ha
    • The Journal of Asian Finance, Economics and Business
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    • 제8권4호
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    • pp.665-672
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    • 2021
  • The paper examines the impact of shadow economy and corruption, along with public expenditure, trade openness, foreign direct investment (FDI), inflation, and tax revenue on the economic growth of the BRICS countries. Data were collected from the World Bank, Transparency International, and Heritage Foundation over the 1991-2017 period. The Bayesian linear regression method is used to examine whether shadow economy, corruption and other indicators affect the economic growth of countries studied. This paper applies the normal prior suggested by Lemoine (2019) while the posterior distribution is simulated using Monte Carlo Markov Chain (MCMC) technique through the Gibbs sampling algorithm. The results indicate that public expenditure and trade openness can enhance the BRICS countries' economic growth, with the positive impact probability of 75.69% and 67.11%, respectively. Also, FDI, inflation, and tax revenue positively affect this growth, though the probability of positive effect is ambiguous, ranging from 51.13% to 56.36%. Further, the research's major finding is that shadow economy and control of corruption have a positive effect on the economic growth of the BRICS countries. Nevertheless, the posterior probabilities of these two factors are 62.23% and 65.25%, respectively. This result suggests that their positive effect probability is not high.

Energy-aware Virtual Resource Mapping Algorithm in Wireless Data Center

  • Luo, Juan;Fu, Shan;Wu, Di
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권3호
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    • pp.819-837
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    • 2014
  • Data centers, which implement cloud service, have been faced up with quick growth of energy consumption and low efficiency of energy. 60GHz wireless communication technology, as a new option to data centers, can provide feasible approach to alleviate the problems. Aiming at energy optimization in 60GHz wireless data centers (WDCs), we investigate virtualization technology to assign virtual resources to minimum number of servers, and turn off other servers or adjust them to the state of low power. By comprehensive analysis of wireless data centers, we model virtual network and physical network in WDCs firstly, and propose Virtual Resource Mapping Packing Algorithm (VRMPA) to solve energy management problems. According to VRMPA, we adopt packing algorithm and sort physical resource only once, which improves efficiency of virtual resource allocation. Simulation results show that, under the condition of guaranteeing network load, VPMPA algorithm can achieve better virtual request acceptance rate and higher utilization rate of energy consumption.

Real time optimization of fed-batch culture of recombinant yeast

  • 나정걸;김현한;장용근;정봉현
    • 한국생물공학회:학술대회논문집
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    • 한국생물공학회 2001년도 추계학술발표대회
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    • pp.81-84
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    • 2001
  • A real time optimization algorithm for fed-batch cultures of recombinant yeast to determine the optimal substrate feed rate profile has been developed. Its development involved four key steps: (1) development of reliable adaptive model. (2) development of optimization algorithm. (3) design of on-line model update algorithm to be incorporated into the optimization algorithm and (4) experimental validation. A recombinant Saccharomyces cerevisiae producing human parathyroid hormone (hPTH) was chosen as the model strain. It was found to be very successful in maintaining cell growth and galactose consumption at leigh levels, thus resulting in significant improvements in the productivity (up to 2.1 times) and intact hPTH concentration (up to 1.5 times) compared with the case of an intermittent glucose and galactose, or galactose feeding.

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Model Development for Lactic Acid Fermentation and Parameter Optimization Using Genetic Algorithm

  • LIN , JIAN-QIANG;LEE, SANG-MOK;KOO, YOON-MO
    • Journal of Microbiology and Biotechnology
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    • 제14권6호
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    • pp.1163-1169
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    • 2004
  • An unstructured mathematical model is presented for lactic acid fermentation based on the energy balance. The proposed model reflects the energy metabolic state and then predicts the cell growth, lactic acid production, and glucose consumption rates by relating the above rates with the energy metabolic rate. Fermentation experiments were conducted under various initial lactic acid concentrations of 0, 30, 50, 70, and 90 g/l. Also, a genetic algorithm was used for further optimization of the model parameters and included the operations of coding, initialization, hybridization, mutation, decoding, fitness calculation, selection, and reproduction exerted on individuals (or chromosomes) in a population. The simulation results showed a good fit between the model prediction and the experimental data. The genetic algorithm proved to be useful for model parameter optimization, suggesting wider applications in the field of biological engineering.

Combination Algorithm of a Material for Marble Solid Effects

  • Park, Tae-Jin;Park, Man-Gon
    • 한국멀티미디어학회논문지
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    • 제7권12호
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    • pp.1700-1707
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    • 2004
  • Nowaday, market size of digital image in world around is looks to rapidly growth. For this, Texture mapping has traditionally been used to add realism to computer graphics images. Therefore to make our image realistic, we need to give the various kind of objects material parameter and environment lighting. To present the completed marble we use passing back algorithm and combination with channel of a material. In experimental result of this paper that application by passing back algorithm and varying the parameter such as scale, period, distortion, octaves of noise make showing the superiority of optimized rendering of spheres and perfect another marble effects.

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