• Title/Summary/Keyword: Stacking

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Robust and Optimum Weighted Stacking of Seismic Data (탄성파 자료의 강인한 최적 가중 겹쌓기)

  • Ji, Jun
    • Geophysics and Geophysical Exploration
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    • v.16 no.1
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    • pp.1-5
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    • 2013
  • Stacking in seismic processing plays an important role in improving signal-to-noise ratio and imaging quality of seismic data. However, the conventional stacking method doesn't remove random noises with various distributions and outliers up to a satisfactory level. This paper introduces a robust and optimum weighted stack method which shows both robustness to outlier noises and optimum in removing random noises. This was achieved by combining the robust median stacking with the optimum weighted stacking using local correlation. Application of the method to synthetic data showed that the proposed method is very effective in suppressing random noises with various distributions including outliers.

A Model Stacking Algorithm for Indoor Positioning System using WiFi Fingerprinting

  • JinQuan Wang;YiJun Wang;GuangWen Liu;GuiFen Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.4
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    • pp.1200-1215
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    • 2023
  • With the development of IoT and artificial intelligence, location-based services are getting more and more attention. For solving the current problem that indoor positioning error is large and generalization is poor, this paper proposes a Model Stacking Algorithm for Indoor Positioning System using WiFi fingerprinting. Firstly, we adopt a model stacking method based on Bayesian optimization to predict the location of indoor targets to improve indoor localization accuracy and model generalization. Secondly, Taking the predicted position based on model stacking as the observation value of particle filter, collaborative particle filter localization based on model stacking algorithm is realized. The experimental results show that the algorithm can control the position error within 2m, which is superior to KNN, GBDT, Xgboost, LightGBM, RF. The location accuracy of the fusion particle filter algorithm is improved by 31%, and the predicted trajectory is close to the real trajectory. The algorithm can also adapt to the application scenarios with fewer wireless access points.

Improvement of Upper Extremity Function and Leisure Satisfaction of Children with Brain Lesions through Sports Stacking Activities: A Case Study

  • Ae-Lyeong Kwon;Ki-Jeon Kim
    • The Journal of Korean Physical Therapy
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    • v.36 no.2
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    • pp.53-60
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    • 2024
  • Purpose: This study aimed to investigate changes in upper extremity joints and leisure satisfaction in children with brain lesions through sports stacking activities. Methods: A sports stacking program was conducted on three children with brain lesions who had upper extremity joint limitations and joint range of motion lower than the normal range. It was conducted 10 times, 1 to 2 times a week, 40 minutes each time. Upper extremity joint angles were measured using a goniometer in the order of shoulder, elbow, wrist, and fingers, and leisure satisfaction was measured using a smile evaluation. Results: As a result of measuring the upper extremity joint angles, all three children showed slight angle changes in the shoulder, elbow, and wrist areas. Differences in joint angles appeared differently for each child. Smile evaluation results were evaluated in various psychological, educational, and physical aspects. Only child A was evaluated for Smile Evaluation No. 1. Conclusion: Sports stacking activities changed the upper extremity function of children with brain lesion disorders and showed differences in psychological, physical, and educational aspects of leisure satisfaction. As this is a short-term study result, the change in upper extremity function is minimal, but if sports stacking activities are continued, it will be a rehabilitation program that can prevent upper extremity dysfunction and improve physical strength. Accordingly, continuous attention should be paid to increasing accessibility and enjoyment of daily life according to individual characteristics and level.

Safety Evaluation of Radioactive Material Transport Package under Stacking Test Condition (방사성물질 운반용기의 적층시험조건에 대한 안전성 평가)

  • Lee, Ju-Chan;Seo, Ki-Seog;Yoo, Seong-Yeon
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.10 no.1
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    • pp.37-43
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    • 2012
  • Radioactive waste transport package was developed to transport eight drums of low and intermediate level waste(LILW) in accordance with the IAEA and domestic related regulations. The package is classified with industrial package IP-2. IP-2 package is required to undergo a free drop test and a stacking test. After free drop and stacking tests, it should prevent the loss or dispersal of radioactive contents, and loss of shielding integrity which would result in more than 20 % increase in the radiation level at any external surface of the package. The objective of this study is to establish the safety test method and procedure for stacking test and to prove the structural integrities of the IP-2 package. Stacking test and analysis were performed with a compressive load equal to five times the weight of the package for a period of 24 hours using a full scale model. Strains and displacements were measured at the corner fitting of the package during the stacking test. The measured strains and displacements were compared with the analysis results, and there were good agreements. It is very difficult to measure the deflection at the container base, so the maximum deflection of the container base was calculated by the analysis method. The maximum displacement at the corner fitting and deflection at the container base were less than their allowable values. Dimensions of the test model, thickness of shielding material and bolt torque were measured before and after the stacking test. Throughout the stacking test, it was found that there were no loss or dispersal of radioactive contents and no loss of shielding integrity. Thus, the package was shown to comply with the requirements to maintain structural integrity under the stacking condition.

Structural Studies upon the Interactive Effects between Organic Dyestuffs and Polyelectrolytes (Ⅱ). The Interaction of Methylene Blue and Acridine Orange with Chondroitin Sulfate (유기색소분자와 고분자전해질 사이의 상호작용 효과에 관한 구조론적 연구 (II). Methylene Blue 및 Acridine Orange의 Chondroitin Sulfate와의 상호작용)

  • Chong Hoe Park;Moo Soon Park;Hong Lee
    • Journal of the Korean Chemical Society
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    • v.31 no.4
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    • pp.295-300
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    • 1987
  • Spectroscopic studies have been carried out on the metachromatic behavior of methylene blue(MB) and acridine orange(AO) in the presence of chondroitin sulfate A(CSA) and chondroitin sulfate C(CSC). The characteristic changes of the meta-band with the changes of P/D value are discussed in terms of the stacking theory. Quantitative studies on the stacking effect are made to calculate the number of bound molecules of dye per unit molecule of the polyanion. The result shows that MB has stronger stacking effect than AO. A stacking model and the dimension of the bound dyes on the surface of the polyanion are proposed, on the basis of the dimer model of planar aromatic dyes and the most stable conformation of the CSA chain. The model is found to be reasonable in accordance with the experimental results.

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Automatic Document Classification Using Multiple Classifier Systems (다중 분류기 시스템을 이용한 자동 문서 분류)

  • Kim, In-Cheol
    • The KIPS Transactions:PartB
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    • v.11B no.5
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    • pp.545-554
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    • 2004
  • Combining multiple classifiers to obtain improved performance over the individual classifier has been a widely used technique. The task of constructing a multiple classifier system(MCS) contains two different Issues how to generate a diverse set of base-level classifiers and how to combine their predictions. In this paper, we review the characteristics of existing multiple classifier systems : Bagging, Boosting, and Slaking. For document classification, we propose new MCSs such as Stacked Bagging, Stacked Boosting, Bagged Stacking, Boosted Stacking. These MCSs are a sort of hybrid MCSs that combine advantages of existing MCSs such as Bugging, Boosting, and Stacking. We conducted some experiments of document classification to evaluate the performances of the proposed schemes on MEDLINE, Usenet news, and Web document collections. The result of experiments demonstrate the superiority of our hybrid MCSs over the existing ones.

Prediction of Stacking Angles of Fiber-reinforced Composite Materials Using Deep Learning Based on Convolutional Neural Networks (합성곱 신경망 기반의 딥러닝을 이용한 섬유 강화 복합재료의 적층 각도 예측)

  • Hyunsoo Hong;Wonki Kim;Do Yoon Jeon;Kwanho Lee;Seong Su Kim
    • Composites Research
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    • v.36 no.1
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    • pp.48-52
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    • 2023
  • Fiber-reinforced composites have anisotropic material properties, so the mechanical properties of composite structures can vary depending on the stacking sequence. Therefore, it is essential to design the proper stacking sequence of composite structures according to the functional requirements. However, depending on the manufacturing condition or the shape of the structure, there are many cases where the designed stacking angle is out of range, which can affect structural performance. Accordingly, it is important to analyze the stacking angle in order to confirm that the composite structure is correctly fabricated as designed. In this study, the stacking angle was predicted from real cross-sectional images of fiber-reinforced composites using convolutional neural network (CNN)-based deep learning. Carbon fiber-reinforced composite specimens with several stacking angles were fabricated and their cross-sections were photographed on a micro-scale using an optical microscope. The training was performed for a CNN-based deep learning model using the cross-sectional image data of the composite specimens. As a result, the stacking angle can be predicted from the actual cross-sectional image of the fiber-reinforced composite with high accuracy.

Study on the electric properties of layered $BaTiO_3$ films prepared new stacking method (새로운 방법으로 제조된 적층구조 $BaTiO_3$ 박막의 전기적 특성에 관한 연구)

  • Song, Man-Ho;Lee, Yun-Hi;Hahn, Taek-Sang;Oh, Myung-Hwan;Yoon, Ki-Hyun
    • Proceedings of the KIEE Conference
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    • 1995.07c
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    • pp.1129-1132
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    • 1995
  • In the preparation of the layered $BaTiO_3$ thin films with high performance, the new stacking method using the continuous cooling of the substrate was introduced. Amorphous/polycrystalline $BaTiO_3$ layered structure was confirmed by SEM and index of refraction. The layered $BaTiO_3$ thin films formed by the new stacking method showed such a high dielectric constant that the layered structure could not be explained by a stacking structure of the two defined layers but could only be explained by multi-layered structure, i.e. amorphous/micro crystalline/polycrystalline structure. The layered $BaTiO_3$ thin film with a thickness of 240 nm showed higher capacitance per unit area and breakdown strength than the double layered $BaTiO_3$ thin film prepared by the conventional stacking method. And well defined ferroelectric hysteresis leer was observed in the layered $BaTiO_3$ thin film with a thickness of 200 nm.

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Theoretical Study on The Interaction Between Benzo(a)pyrene and Cytochrome P-450 (Benzo(a)pyrene 과 Cytochrome P-450의 대한 상호작용에 대한 이론적 연구)

  • 도성탁
    • Biomedical Science Letters
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    • v.1 no.1
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    • pp.89-94
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    • 1995
  • Considering the planar structure and nonpolar properity of benzo(a)pyrene(B(a)p) and the planar heme part of cytochrome P-450, stacking interaction is probable. MO calculation on B(a)P and heme part of cytochrome P-450 were carried out to dertermine probable stacking interaction models. In this case, orbital interaction is most important. Accordingly, the stacking positions have high eigen vector in frontier orbital and boning type between two molecules. In this way, five probate models were selected and examined by MN2 and MO method. The most probable .stacking interaction model which is the 4, 5, 6 positions of B(a)P overlap carbon atom and pyrrole ring of ring of heme group was determined.

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