• 제목/요약/키워드: cross-distance selection

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Two variations of cross-distance selection algorithm in hybrid sufficient dimension reduction

  • Jae Keun Yoo
    • Communications for Statistical Applications and Methods
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    • 제30권2호
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    • pp.179-189
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    • 2023
  • Hybrid sufficient dimension reduction (SDR) methods to a weighted mean of kernel matrices of two different SDR methods by Ye and Weiss (2003) require heavy computation and time consumption due to bootstrapping. To avoid this, Park et al. (2022) recently develop the so-called cross-distance selection (CDS) algorithm. In this paper, two variations of the original CDS algorithm are proposed depending on how well and equally the covk-SAVE is treated in the selection procedure. In one variation, which is called the larger CDS algorithm, the covk-SAVE is equally and fairly utilized with the other two candiates of SIR-SAVE and covk-DR. But, for the final selection, a random selection should be necessary. On the other hand, SIR-SAVE and covk-DR are utilized with completely ruling covk-SAVE out, which is called the smaller CDS algorithm. Numerical studies confirm that the original CDS algorithm is better than or compete quite well to the two proposed variations. A real data example is presented to compare and interpret the decisions by the three CDS algorithms in practice.

Consumers' Channel Selection Behavior Based on Psychological Distance Cue: Regulatory-Focus as Moderator

  • Jungyeon Sung;Sangcheol Park
    • Asia pacific journal of information systems
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    • 제29권2호
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    • pp.248-267
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    • 2019
  • As merging online and offline channels into one single platform, individuals could easily and frequently switch between online and offline channels. In order for understanding such unique behaviors, this study attempts to explore why and how consumers choose their channels to search and purchase a product. We have drawn on multiple theories that have been used to explain individuals' judgment and decision making (i.e., construal level theory and regula-tory focus theory) in order to develop and tested two-way ANOVA based models of how both regulatory focus (e.g., promotion vs. prevention) and product types (e.g., experience goods vs. searching goods) including the psychological distance cue separately and jointly affect individuals' channel selection behavior (e.g., intention to use single channel vs. intention to use cross-channels). Our results have indicated that consumers with promotion-focus are more likely to use a single channel in experience goods rather than in searching goods when there exists the psychological cue. Based on our findings, the implication for both research and practice are discussed.

Optimal Design for Marker-assisted Gene Pyramiding in Cross Population

  • Xu, L.Y.;Zhao, F.P.;Sheng, X.H.;Ren, H.X.;Zhang, L.;Wei, C.H.;Du, L.X.
    • Asian-Australasian Journal of Animal Sciences
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    • 제25권6호
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    • pp.772-784
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    • 2012
  • Marker-assisted gene pyramiding aims to produce individuals with superior economic traits according to the optimal breeding scheme which involves selecting a series of favorite target alleles after cross of base populations and pyramiding them into a single genotype. Inspired by the science of evolutionary computation, we used the metaphor of hill-climbing to model the dynamic behavior of gene pyramiding. In consideration of the traditional cross program of animals along with the features of animal segregating populations, four types of cross programs and two types of selection strategies for gene pyramiding are performed from a practical perspective. Two population cross for pyramiding two genes (denoted II), three population cascading cross for pyramiding three genes(denoted III), four population symmetry (denoted IIII-S) and cascading cross for pyramiding four genes (denoted IIII-C), and various schemes (denoted cross program-A-E) are designed for each cross program given different levels of initial favorite allele frequencies, base population sizes and trait heritabilities. The process of gene pyramiding breeding for various schemes are simulated and compared based on the population hamming distance, average superior genotype frequencies and average phenotypic values. By simulation, the results show that the larger base population size and the higher the initial favorite allele frequency the higher the efficiency of gene pyramiding. Parents cross order is shown to be the most important factor in a cascading cross, but has no significant influence on the symmetric cross. The results also show that genotypic selection strategy is superior to phenotypic selection in accelerating gene pyramiding. Moreover, the method and corresponding software was used to compare different cross schemes and selection strategies.

물류거점 변경에 따른 크로스-도킹 거점 입지 선정에 관한 연구 (A Study on Selection of Cross-Docking Center by Changing the Logistics Location)

  • 이인철;이명호;송정은;김내헌
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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    • pp.1754-1757
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    • 2006
  • Recently many firms operate a cross-docking center in addition to run a distribution center to reduce logistics costs and maintain or enhance logistics service. However, it is true that many firms just operate their cross-docking centers as they are without any change, in spite of that the location of the cross-docking center should be changed and operated when the location of distribution center is changed and moved. This study presents the method that re-selects the location of the cross-docking center when the existing distribution center is changed. Describing the operation environment to apply the cross-docking system and the selection criteria of the cross-docking center under the environment of changeable logistics network, we define the simulation model which can analyze and select the location of the cross-docking center applied to a logistics field. The simulation model presents experiential algorithm selecting the location with the data of the demand point such as volume, transportation costs, and delivery distance.

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Molecular Mapping of Resistant Genes to Brown Planthopper, Bphl and bph2, in Rice

  • Cha, Young-Soon;Cho, Yong-Gu;Shin, Kyeong-Og;Yeo, Un-Sang;Choi, Jae-Eul;Eun, Moo-Young
    • 한국작물학회지
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    • 제44권4호
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    • pp.345-349
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    • 1999
  • This study was carried out to map Bphl and bph2 gene in Mudgo and Sangju13 (Oryza sativa L.) respectively conferring resistance to brown plan-thopper (BPH) and to establish the marker-assisted selection (MAS) system. Bulked seedling (grown for 20 days) test was conducted with the 73 F4 lines derived from a cross between Nagdongbyeo and Mudgo for Bphl and with 53 BC3F5 lines derived from the Milyang95/Sangju13 cross for bph2. Bph1 was mapped between RG413 and RG901 on chromo-some 12 at a distance of 7.5 cM from RG413 and 8.4 cM from RG90l. A recessive gene bph2 was located near RZ76 on chromosome 12 at a distance of 14.4 cM. Bphl and bph2 were linked to each other with a distance of about 30 cM. An RFLP marker, RG413 linked to Bphl, was converted to an STS marker to facilitate the marker-assisted selection. BPH resistant genotypes could be selected with 92% accuracy in a population derived from a line of NM47-B-B.

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Extraction of Computer Image Analysis Information by Desk Top Computer from Beef Carcass Cross Sections

  • Karnuah, A.B.;Moriya, K.;Sasaki, Y.
    • Asian-Australasian Journal of Animal Sciences
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    • 제12권8호
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    • pp.1171-1176
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    • 1999
  • The precision and reliability of the Computer Image Analysis technique using a desk top computer for extracting information from carcass cross section scans was evaluated by the repeatability (R) and coefficient of variation (CV) for error variance. The 6th and 7th ribs cross section of carcasses from 55 fattened Japanese Black steers were used. The image analysis was conducted using a desk top computer (Macintosh-Apple Vision 1710 Display) connected to a scanner and an image capture camera. Two software applications, Adobe Photoshop and Mac Scope were used interchangeably. The information extracted and measured were individual muscle area, circumference length, long and short axes lengths, muscle direction; distance between any two muscle centers of gravity; cross section total area, lean, fat, and bone. The information was extracted after the processes of scanning, digitization, masking, muscle separation, and binarization. When using the Computer Image Analysis technique by desk top computer, proper digitization and selection of scanning resolution are very important in order to obtain accurate information. The R-values for muscle area, circumference, long and axes lengths, and direction ranged from 0.95 to 0.99, whereas those of the distance between any two muscle centers of gravity ranged from 0.96 to 0.99, respectively. For the cross section total area, lean, fat, and bone it ranged from 0.83 to 0.99. Excellent repeatability measurements were observed for muscle direction and distance between any two muscle centers of gravity. The results indicate that the Computer Image Analysis technique using a desk top computer for extracting information from carcass cross section is reliable and has high precision.

1차원 수치모형의 가변 계산거리간격 추정 기법 (Estimation Technique of Computationally Variable Distance Step in 1-D Numerical Model)

  • 김극수;김지성;김원
    • 한국수자원학회논문집
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    • 제44권5호
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    • pp.363-376
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    • 2011
  • 하천 홍수해석 분야에서 가장 널리 이용되고 있는 1차원 동수역학 수치모형의 입력자료는 상하류단 경계조건, 조도계수, 하도단면 등이며, 계산 시간간격 및 거리간격의 선정은 계산결과의 정확성, 안정성, 효율성 확보를 위한 핵심 요소이다. 본 연구에서는 기존 단면간격 선정기법의 이론적 배경을 검토하였고, 매 시간단계별로 도출되는 흐름특성을 반영하여 계산거리간격을 추정하는 가변 계산거리간격 추정 기법을 제안하였다. 제안된 기법을 1차원 부정류 수치모형과 연계하여 Teton 댐 붕괴 및 한강 홍수 사상에 대해 적용함으로써 기존 고정 계산거리간격 추정 기법에 의한 해석결과와 비교하였다. 더 많은 내삽단면이 사용될 경우, 수치 수렴성 실험 결과는 수치해의 정확성과 안정성이 높아짐을 나타내었고, 본 연구에서 제안된 기법은 기존 고정 계산거리간격 추정기법보다 적은 단면개수로 동일한 정도의 정확도를 나타냄으로써 계산 효율성을 크게 향상시켰다. 본 연구에서 개발된 기법의 실무적용을 통해 정확성과 안정성뿐만 아니라 높은 효율성을 갖는 하천 홍수해석이 가능할 것으로 판단된다.

무선 센서 네트워크에서의 적응적 재전송 노드 선택에 의한 효율적인 Flooding 알고리즘 (An Efficient Flooding Algorithm with Adaptive Retransmission Node Selection for Wireless Sensor Networks)

  • 최승준;유상조
    • 한국통신학회논문지
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    • 제32권11B호
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    • pp.673-684
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    • 2007
  • 본 논문에서는 무선 센서 네트워크에서 노드의 simple flooding에 의해 발생되는 broadcast storm problem을 해결하기 위한 크로스 레이어 기반의 효율적인 flooding 기법인 FARNS (Flooding algorithm with Adaptive Retransmission Nodes Selection)를 제안한다. FARNS는 MAC과 PHY에서 각각 이웃노들의 식별 정보와 수신신호강도 정보를 수집하여 패킷의 재전송에 사용될 재전송 후보 노드를 선택하여 모든 노드가 수신 패킷의 재전송을 시도하여 발생하는 불필요한 에너지의 낭비를 방지한다. 성능평가를 위한 모의 실험에서는 패킷의 수신비율과 전송비율, 평균중복패킷의 수와 오버헤드 등의 평가기준에서 FARNS가 다른 flooding 기법들보다 우수한 성능을 보인다. 또한, 재전송 동작에서 사용되는 노드들의 비율을 조절함으로써 다양한 네트워크 환경에서의 요구사항을 만족시키는 동시에 broadcast storm problem을 해결한다.

Several models for tunnel boring machine performance prediction based on machine learning

  • Mahmoodzadeh, Arsalan;Nejati, Hamid Reza;Ibrahim, Hawkar Hashim;Ali, Hunar Farid Hama;Mohammed, Adil Hussein;Rashidi, Shima;Majeed, Mohammed Kamal
    • Geomechanics and Engineering
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    • 제30권1호
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    • pp.75-91
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    • 2022
  • This paper aims to show how to use several Machine Learning (ML) methods to estimate the TBM penetration rate systematically (TBM-PR). To this end, 1125 datasets including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), punch slope index (PSI), distance between the planes of weakness (DPW), orientation of discontinuities (alpha angle-α), rock fracture class (RFC), and actual/measured TBM-PRs were established. To evaluate the ML methods' ability to perform, the 5-fold cross-validation was taken into consideration. Eventually, comparing the ML outcomes and the TBM monitoring data indicated that the ML methods have a very good potential ability in the prediction of TBM-PR. However, the long short-term memory model with a correlation coefficient of 0.9932 and a route mean square error of 2.68E-6 outperformed the remaining six ML algorithms. The backward selection method showed that PSI and RFC were more and less significant parameters on the TBM-PR compared to the others.

CT영상의 3차원 재구성 및 표현에 관한 연구 (A Study on the 3D Reconstruction and Representation of CT Images)

  • 한영환;이응혁
    • 대한의용생체공학회:의공학회지
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    • 제15권2호
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    • pp.201-208
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    • 1994
  • Many three-dimensional object modeling and display methods for computer graphics and computer vision have been developed. Recently, with the help of medical imaging devices such as computerized tomography, magnetic resonance image, etc., some of those object modeling and display methods have been widely used for capturing the shape, structure and other properties of real objects in many medical applications. In this paper, we propose the reconstruction and display method of the three-dimensional object from a series of the cross sectonal image. It is implemented by using the automatic threshold selection method and the contour following algorithm. The combination of curvature and distance, we select feature points. Those feature points are the candidates for the tiling method. As a results, it is proven that this proposed method is very effective and useful in the comprehension of the object's structure. Without the technician's responce, it can be automated.

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