• 제목/요약/키워드: Optimal weights

검색결과 398건 처리시간 0.023초

퍼지 Adaboost를 이용한 객체 검출 (Object Detection using Fuzzy Adaboost)

  • 김기상;최형일
    • 한국콘텐츠학회논문지
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    • 제16권5호
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    • pp.104-112
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    • 2016
  • Adaboost 학습 알고리즘은 학습 단계마다 가장 좋은 특징을 선택하도록 하는 학습 알고리즘 이다. 각 학습 단계에서는 최적의 특징을 선택하기 위해 특정 임계값과 그에 대한 최소 오차율을 가지는 특징을 선택하도록 되어 있다. 하지만, 임계값을 이용하는 방법은 최적의 오차율을 검출하는데 있어 효율적인 방법이 아니다. 본 논문에서는 최적의 오차율을 검출하기 위한 퍼지 Adaboost 기법을 제안한다. 퍼지를 통해 결정 경계를 유연하게 한 Adaboost는 학습 단계가 적어도 좋은 성능을 보이는 장점이 있다. 기존의 Adaboost는 학습 전에 학습데이터에 대한 가중치를 동일하게 할당한다. 하지만, 본 논문에서는 이에 대한 가중치를 확률을 이용하여 초기 가중치를 다르게 줌으로서, 적은 학습에도 좋은 결과를 보이는 방법을 제안한다. 실험 결과에서는 기존의 Adaboost와 제안하는 방법에 대한 성능 평가를 통해, 퍼지 Adaboost가 기존 방법에 비해 좋은 결과를 보였다.

비영양 흡철의 미숙아 행동상태에 대한 효과 (Effects of Nonnutritive Sucking on Behavioral State in Preform Infants)

  • 신희선
    • Child Health Nursing Research
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    • 제4권2호
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    • pp.305-313
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    • 1998
  • The purpose of study was to examine the effect of nonnutritive sucking(NNS) on behavioral state in preform infants. Fourteen infants (gestational age 28-35 weeks, M=31.86 ; birth weights 1095-2275g, M=1694g) admitted to NICU, serving as their controls were randomly administered 5 min of nonnutritive sucking and a control condition. Behavioral state was measured using the Anderson Behavioral State Scale(ABSS). Heart rates were obtained for each infant before and during NNS and bottle feeding. Data collecction was done by 3 experienced nurses in NICU 2 times a day for conseculive 4 days for each subject. Interrater reliability were .80-.90. The findings were as follows : 1. Preform infants averaged active restless states 58.93% in the prointervention phase and 27.32% in the NNS phase. Inactive awake states were 3.57% in the preintervention phase and 34.64% in the NNS phase. 2. There were significantly more positive changes to inactive awake states for the NNS intervention, Z=-2.35, p=.01. 3. There was no statistically significant difference in heart rate change between NNS intervention and control condition, z=-1.15, p=.24. 4. The rates of feeding success determined by finishing prescribed amount of milk by bottle feeding within 15 minutes were 83.94% in NNS intervention and 89.29% in control condition. The findings from this study confirmed that NNS is effective for behavioral state modulation and inducing optimal state for feeding in preform infant. The NNS intervention in nursing practice may help the transition of preform infants for nipple feeding.

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굽힘하중을 받는 준 카고메 트러스 샌드위치 판재의 파손선도와 최적설계변수의 도출 (Failure Maps and Derivation of Optimal Design Parameters for a Quasi-Kagome Truss Sandwich Panel Subjected to Bending Load)

  • 임채홍;전인수;강기주
    • 대한기계학회논문집A
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    • 제31권9호
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    • pp.943-950
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    • 2007
  • A new metallic sandwich panel with a quasi-Kagome truss core subjected to bending load has been analyzed. First, equations of the failure loads corresponding to the eight failure modes are presented. Then, non-dimensional forms of the equations are derived as functions of three geometric variables, one material parameter (yield strain), one load index and one weight index. Failure maps are presented for a given weight index. By using the dimensionless forms of equations as the design constraints, two kinds of optimization are performed. One is based on the weight, that is, the objective function, namely, the dimensionless load is to be maximized for a given weight. Another is based on the load, that is, the dimensionless weight is to be minimized for a given load. The results of the two optimization processes are found to agree each other. The optimized geometric variables are derived as a function of given weights or failure loads. The performance of the quasi-Kagome truss as the core of a sandwich panel is evaluated by comparison with those of honeycomb cored and octet truss cored panels.

반응면 기법을 이용한 초음속 전투기 날개의 다학제간 다점 설계 (Multidisciplinary Multi-Point Design Optimization of Supersonic fighter Wing Using Response Surface Methodology)

  • 김유신;김재무
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2004년도 추계 학술대회논문집
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    • pp.173-176
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    • 2004
  • In this study, the multidisciplinary aerodynamic-structural optimal design is carried out for the supersonic fighter wing. Through the aeroelastic analyses of the various candidate wings, the aerodynamic and structural performances are calculated such as the lift coefficient, the drag coefficient and the deformation of the wing. In general, the supersonic fighter is maneuvered under the various flight conditions and those conditions must be considered all together during the design process. The multi-point design, therefore, is deemed essential. For this purpose, supersonic dash, long cruise range and high angle of attack maneuver are selected as representative design points. Based on the calculated performances of the candidate wings, the response surfaces for the objectives and constraints are generated and the supersonic fighter wing is designed for better aerodynamic performances and less weights than the baseline. At each design point, the single-point design is performed to obtain better performances. Finally, the multi-point design is performed to improve the aerodynamic and structural performances for all design points. The optimization results of the multi-point design are compared with those of the single-point designs and analyzed in detail.

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유전자 알고리즘을 이용한 사례기반추론 시스템의 최적화: 주식시장에의 응용 (Optimization of Case-based Reasoning Systems using Genetic Algorithms: Application to Korean Stock Market)

  • 김경재;안현철;한인구
    • Asia pacific journal of information systems
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    • 제16권1호
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    • pp.71-84
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    • 2006
  • Case-based reasoning (CBR) is a reasoning technique that reuses past cases to find a solution to the new problem. It often shows significant promise for improving effectiveness of complex and unstructured decision making. It has been applied to various problem-solving areas including manufacturing, finance and marketing for the reason. However, the design of appropriate case indexing and retrieval mechanisms to improve the performance of CBR is still a challenging issue. Most of the previous studies on CBR have focused on the similarity function or optimization of case features and their weights. According to some of the prior research, however, finding the optimal k parameter for the k-nearest neighbor (k-NN) is also crucial for improving the performance of the CBR system. In spite of the fact, there have been few attempts to optimize the number of neighbors, especially using artificial intelligence (AI) techniques. In this study, we introduce a genetic algorithm (GA) to optimize the number of neighbors to combine. This study applies the novel approach to Korean stock market. Experimental results show that the GA-optimized k-NN approach outperforms other AI techniques for stock market prediction.

A Virtual-Queue based Backpressure Scheduling Algorithm for Heterogeneous Multi-Hop Wireless Networks

  • Jiao, Zhenzhen;Zhang, Baoxian;Zheng, Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권12호
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    • pp.4856-4871
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    • 2015
  • Backpressure based scheduling has been considered as a promising technique for improving the throughput of a wide range of communication networks. However, this scheduling technique has not been well studied for heterogeneous wireless networks. In this paper, we propose a virtual-queue based backpressure scheduling (VQB) algorithm for heterogeneous multi-hop wireless networks. The VQB algorithm introduces a simple virtual queue for each flow at a node for backpressure scheduling, whose length depends on the cache size of the node. When calculating flow weights and making scheduling decisions, the length of a virtual queue is used instead of the length of a real queue. We theoretically prove that VQB is throughput-optimal. Simulation results show that the VQB algorithm significantly outperforms a classical backpressure scheduling algorithm in heterogeneous multi-hop wireless networks in terms of the packet delivery ratio, packet delivery time, and average sum of the queue lengths of all nodes per timeslot.

토마토 Locular Fluid Lectin의 생화학적 성질 (Biochemical Properties of Locular Fluid Lectin of Tomato)

  • 노광수
    • KSBB Journal
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    • 제23권1호
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    • pp.48-53
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    • 2008
  • 토마토의 locular fluid로부터 최종적으로 Sephadex G-200 affinity chromatography에 의해 lectin을 분리한 다음, 이들의 분자량, 적혈구 응집력, 혈액특이성, 열 안정성, 최적 온도 및 pH 안정성의 생화학적 성질을 연구하였다. SBS-PAGE의 결과, 분자량이 39 kDa와 23 kDa로서 각각 2개의 subunit로 구성된 124 kDa의 분자량을 가지는 tetramer이다. 트립신으로 처리된 사람의 A, B, O, AB형의 혈액을 사용하여 각각의 혈구응집반응을 확인한 결과, A, B, O, AB형 모두에서 응집반응이 일어났으며, 이 중 B형 혈액에서 가장 높은 활성을 나타냈으며, A와 O형은 중간, AB형은 가장 낮은 활성을 보였다. 분리된 토마토 locular fluid의 최적반응 온도는 $50^{\circ}C$로서, 가장 높은 $70^{\circ}C$를 포함하는 $40-80^{\circ}C$에서 열 안정성을 보였으며, 이의 최적 pH는 7.0이다.

Stock Investment of Agriculture Companies in the Vietnam Stock Exchange Market: An AHP Integrated with GRA-TOPSIS-MOORA Approaches

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;KUMAR G, Venkata Ajay;HU, Yi-Chung
    • The Journal of Asian Finance, Economics and Business
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    • 제7권7호
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    • pp.113-121
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    • 2020
  • Multi-criteria stock selection is a critical issue for effective investment since the improper stock investment might cause many problems affecting investors negatively. Investors need a range of financial indicators while they are choosing the optimal set of stocks to invest. This study aims to rank the stock of agriculture companies indexed on the Vietnam Stock Exchange Market. The data of 13 agriculture companies during the 2016-2019 periods was analyzed by analytical hierarchy process (AHP) integrated with grey relational analysis (GRA), multi-objective optimization ratio analysis (MOORA), and technique for order performance by similarity to ideal solution (TOPSIS). The AHP method is employed to determine the weights of the proposed financial ratios, and GRA, TOPSIS, and MOORA approaches are used to obtain final ranking. The results indicated that HSL is the top stock with the highest rank and GRA, MOORA, and TOPSIS rankings have strong correlation values between 0.78-1. The findings suggest that the integrated model could be implemented effectively to specific analysis of industries such as oil and gas, textiles, food, and electronics in future research. Further, other techniques like COPRAS, KEMIRA, and EDAS could be employed to evaluate the financial performance of other companies to solve investment problems.

Trichoderma koningii로 부터 추출한 섬유소분해효소의 부분정제 및 그의 효소학적 성질 (Partial Purification and some Properties of Cellulase Components from Trichoderma koningii)

  • 홍순우;민경희;이영하
    • 미생물학회지
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    • 제14권2호
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    • pp.84-94
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    • 1976
  • Cellulase components, CMCase(Cx) and Avicelase$(C_1)$, were partially prueified, from the culture extract of a strain of Trichoderma koningii by column chromatography on DEAE-Sephadex A-50 and the step of gel filtration through Sphadex G-150, Optimum pH of CMCase was 5.2 and Avicelase showed the highest activity at pH 5.6 in acetate buffer. Optimal temperatures for activities of CMCase and Avicelase were $50^{\circ}C\;and\;60^{\circ}C, $ respectively. More than 70% of the activities of two enzymes were remained after heating at $60^{\circ}C$ for 30 min and Avicelase is more stable than any other fungal enzymes. The Michaelis constants, Km, of CMCase and Avicelase were 0.116% of CMC and 0.281% of avicel. And also the values of maximum velocity, Vmax, of CMCase and Avicelase were $23.20{\mu}g\;and\;2.54{\mu}g$ of reducing sugar per min. Of the metal ions tested against the activites of CMCase and Avicelase, $Cu^{++}, \; Hg^{++}, \;and\;Pb^{{++}$ are remarkably effective inhibitors. The molecular weights of Cx and $C_1$ component were estimated to be about 47, 000 and 61, 000 by gel filtration method.

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방울토마토 열매로부터 분리된 lectin의 생화학적 특성 (Biochemical Characterization of Lectin Isolated from Cherry Tomato Fruit)

  • 박나영;이삼빈;노광수
    • 생명과학회지
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    • 제17권2호통권82호
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    • pp.254-259
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    • 2007
  • Neutral saline 추출, ammonium sulfate 침전 및 Sephadex G-200을 사용한 affinity chromatography 과정을 통해 방울토마토 열매에서 분리된 lectin의 생화학적 특성을 연구하였다. 트립신을 처리한 사람의 ABO형 적혈구 모두에서 응집반응이 일어났으며, 이 중 B형 적혈구에서 가장 높은 응집반응이 관찰되었다. 전기영동 분석에 의해 분자량 10.7 kDa의 강도가 높은 밴드가 확인되었다. 분리된 lectin의 최적반응온도는 $40^{\circ}C$이며, 40-60$^{\circ}C$ 범위에서 열에 대해 안정하였다. 또한 최적 pH는 7.2로 조사되었다.