• Title/Summary/Keyword: slices

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Fused inverse regression with multi-dimensional responses

  • Cho, Youyoung;Han, Hyoseon;Yoo, Jae Keun
    • Communications for Statistical Applications and Methods
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    • v.28 no.3
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    • pp.267-279
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    • 2021
  • A regression with multi-dimensional responses is quite common nowadays in the so-called big data era. In such regression, to relieve the curse of dimension due to high-dimension of responses, the dimension reduction of predictors is essential in analysis. Sufficient dimension reduction provides effective tools for the reduction, but there are few sufficient dimension reduction methodologies for multivariate regression. To fill this gap, we newly propose two fused slice-based inverse regression methods. The proposed approaches are robust to the numbers of clusters or slices and improve the estimation results over existing methods by fusing many kernel matrices. Numerical studies are presented and are compared with existing methods. Real data analysis confirms practical usefulness of the proposed methods.

Iterative projection of sliced inverse regression with fused approach

  • Han, Hyoseon;Cho, Youyoung;Yoo, Jae Keun
    • Communications for Statistical Applications and Methods
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    • v.28 no.2
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    • pp.205-215
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    • 2021
  • Sufficient dimension reduction is useful dimension reduction tool in regression, and sliced inverse regression (Li, 1991) is one of the most popular sufficient dimension reduction methodologies. In spite of its popularity, it is known to be sensitive to the number of slices. To overcome this shortcoming, the so-called fused sliced inverse regression is proposed by Cook and Zhang (2014). Unfortunately, the two existing methods do not have the direction application to large p-small n regression, in which the dimension reduction is desperately needed. In this paper, we newly propose seeded sliced inverse regression and seeded fused sliced inverse regression to overcome this deficit by adopting iterative projection approach (Cook et al., 2007). Numerical studies are presented to study their asymptotic estimation behaviors, and real data analysis confirms their practical usefulness in high-dimensional data analysis.

On Generators in the Category of Actions of Pomonoids on Posets and its Slices

  • Farideh, Farsad;Ali, Madanshekaf
    • Kyungpook Mathematical Journal
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    • v.62 no.4
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    • pp.657-671
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    • 2022
  • Where S is a pomonoid, let Pos-S be the category of S-posets and S-poset maps. We start off by characterizing the pomonoids S for which all projectives in this category are either generators or free. We then study the notions of regular injectivity and weakly regularly d-injectivity in this category. This leads to homological classification results for pomonoids. Among other things, we get find relationships between regular injectivity in the slice category Pos-S/BS, for any S-poset BS, and generators and cyclic projectives in Pos-S.

A Study on Algorithm Development of Offset Data Generation in Stereolithography (광조형법에 있어서 OFFSET정보생성 알고리즘 개발에 관한 연구)

  • Kim, Jun-An;Hong, Sam-Nyol;Paik, In-Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.9
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    • pp.70-76
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    • 1996
  • In the Stereolithography process, three-dimensional objects are built by sequentially curing, generated by horizontal slicing of a three-dimensional CAD model. The dimensional accuracy of a menufactured part depends on the accuracy of curing performed by laser beam radius and the half of curing width. When offsetting, some slices have collinear segments, coincident vertices, line jerks and open loops. After remove above issues we have correct offsets data. And in last step, these data are used to scan paths.

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Cosmological Parameter Estimation from the Topology of Large Scale Structure

  • Appleby, Stephen
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.53.2-53.2
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    • 2019
  • The genus of the matter density eld, as traced by galaxies, contains information regarding the nature of dark energy and the fraction of dark matter in the Universe. In particular, this topological measure is a statistic that provides a clean measurement of the shape of the linear matter power spectrum. As the genus is a topological quantity, it is insensitive to galaxy bias and gravitational collapse. Furthermore, as it traces the linear matter power spectrum, it is a conserved quantity with redshift. Hence the genus amplitude is a standard population that can be used to test the distance-redshift relation. In this talk, I present measurements of the genus extracted from the SDSS DR7 LRGs in the local Universe, and also slices of the BOSS DR12 data at higher redshift. I show how these combined measurements can be used to place cosmological parameter constraints on m, wde.

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ON THE PROPERTIES OF POSITIVE BOOLEAN DEPENDENCIES BY GROUPS IN THE DATABASE MODEL OF BLOCK FORM

  • TRUC, TRINH NGOC;THANG, TRINH DINH;TUYEN, TRAN MINH
    • Journal of applied mathematics & informatics
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    • v.40 no.3_4
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    • pp.531-543
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    • 2022
  • The article proposed a new type of data relationship: Positive Boolean dependencies by groups on block and slice in the database model of block form, where instead of considering value pairs, we consider a group of p values (p ≥ 2). From this new concept, the article stated and demonstrated the equivalence of the three types of deduction, namely: deduction by logic, deduction by block with groups, deduction by block has no more than p elements with groups. Operations on blocks or slices performed for index attributes on blocks, the properties related to this new concept as theorem the equivalen of the three types of deduction, closure of set positive Boolean dependencies by groups and representation and tight representation set of positive Boolean dependencies by groups when the block degenerated into relation are true in the relational database model and also stated and proven in this paper.

An Implementation of Effective CNN Model for AD Detection

  • Vyshnavi Ramineni;Goo-Rak Kwon
    • Smart Media Journal
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    • v.13 no.6
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    • pp.90-97
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    • 2024
  • This paper focuses on detecting Alzheimer's Disease (AD). The most usual form of dementia is Alzheimer's disease, which causes permanent cause memory cell damage. Alzheimer's disease, a neurodegenerative disease, increases slowly over time. For this matter, early detection of Alzheimer's disease is important. The purpose of this work is using Magnetic Resonance Imaging (MRI) to diagnose AD. A Convolution Neural Network (CNN) model, Reset, and VGG the pre-trained learning models are used. Performing analysis and validation of layers affects the effectiveness of the model. T1-weighted MRI images are taken for preprocessing from ADNI. The Dataset images are taken from the Alzheimer's Disease Neuroimaging Initiative (ADNI). 3D MRI scans into 2D image slices shows the optimization method in the training process while achieving 96% and 94% accuracy in VGG 16 and ResNet 18 respectively. This study aims to classify AD from brain 3D MRI images and obtain better results.

Parametric modeling of walls based on voxels of slices and line segment detection

  • Ximing Sun;Xiaodong Li;Jiayu Chen
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.501-508
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    • 2024
  • Building Information Model (BIM) is increasingly being used in the research of construction. The demand for low-cost and efficient access to architectural models is also on the rise. However, generating a parametric model from a point cloud will face interference from other facilities and will be affected by the quality of the measured point cloud. This paper describes a method for generating parametric models from laser-scanned point clouds. With slice voxel selection and line segment detection, the structural framework of the walls can be quickly extracted. By reducing the impact of missing furniture and data on the room, the new approach is applicable to most raw point clouds. This method has potential in multiple directions such as rapid BIM modeling, large-scale room reconstruction, and robot spatial perception.

Regulation of Histamine Release by Kappa Opioid Receptor in Rat Cortical Slices (백서 대뇌피질에서 Opioid Kappa수용체의 Histamine 유리조절기능에 관한 연구)

  • Kim, Kee-Won;Cho, Kyu-Park
    • The Korean Journal of Pharmacology
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    • v.30 no.1
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    • pp.1-9
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    • 1994
  • It has been shown that there are several subtypes of ${\kappa}$ opioid receptor. We examined ligand binding profiles and the effects of various opioid agonists on high potassium-stimulated release of $[^3H]$ histamine. We have evaluated the properties of $non-{\mu},\;non-{\delta},$ binding of $[^3H]\;DIP\;([^3H]\;diprenorphine),$ anonselective opioid antagonist, in rat cortex membranes. Binding $to\;{\mu}\;and\;{\delta}$ sites was inhibited by the use of an excess of competing selective agonists (DAMGO, DPDPE) for these sites. (-) Ethylketocyclazocine (EKC), DIP and bremazocine inhibited $[^3H]$ DIP binding. However, arylacetamides (U69593 and U50488H) gave little inhibition Replacement of sodium by NMDG and the addition of guanine nucleotide influenced the inhibitory potency of (-) EKC, an agonist for {\kappa}_1-and-{\kappa}_2-binding site, but not of bremazocine. This result suggests that bremazocine can be an antagonist at this binding site. Also, we have examined the opioid modulation of $K^+(30mM)-induced\;[^3H]\;histamine$ release in rat frontal cortex slices labeled with $1-[^3H]\;histidine$. The $[^3H]\; histamine$ release from cortex slices was inhibited by EKC in a concentration-dependent manner. However, the ${\delta}$ receptor selective agonists, DPDPE and deltorphine II, ${\mu}$ receptor agonists, DAMGO and TAPS, ${\kappa}_1-agonists$, U69593 and U50488H, and ${\varepsilon}-agonist,\;{\beta}-endorphin,$ did not. The concentration-response curve of EKC was shifted to right in the presence of naloxone, nor-binaltorphimine and bremazocine, respectively. These results suggest that ${\kappa}_2$ opioid receptor regulates histamine release in the fromtal cortex of the rat.

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Analysis of Microbial Contamination and Preservatives in Children's Favorite Foods Around Elementary Schools in Gyeonggi and Incheon (경인지역 초등학교 주변 어린이 기호식품의 미생물 오염도 및 보존료 검사)

  • Park, Shin-Young;Choi, Jin-Won;Yeon, Ji-Hye;Lee, Min-Jeong;Ha, Sang-Do;Park, Ki-Hwan;Moon, Eun-Sook;Ko, Myung-Hee;Lee, Ji-Hyun;Cho, Yu-Sean;Ryu, Kyung
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.35 no.2
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    • pp.224-230
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    • 2006
  • Microbial contamination levels and legal preservative appropriation in child foods sampled from the neighborhood of elementary schools were investigated. Contamination levels of total aerobic bacteria in seasoned dried fish slices, bread and snacks, sausages, sugar products and dumplings were $1.70\~6.91,\;1.40\~6.66$, 4.50, $3.48\~5.88$, and $4.79\~4.82\;log_{10}$ CFU/g, respectively. Coliforms in four kinds of foods except for dumplings were $2.30\~6.60,\;4.22\~~5.98$, 2.00, and $2.78\;log_{10}$ CFU/g, respectively. Yeasts and molds in those foods were $0.10\~4.23,\;1.66\~4.91,\;1.46\~1.91,\;1.56\~4.26$, and $1.12\~1.84\;log_{10}$ CFU/g, respectively. S. aureus was isolated in $18\%$ of seasoned dried fish slices ($1.00\~2.84\;log_{10}$ CFU/g), $33\%$ of bread and snacks ($1.70\~1.79\;log_{10}$ CFU/g), $50\%$ of sausages ($3.28\;log_{10}$ CFU/g), $22\%$ of sugar products ($2.16\~2.88\;log_{10}$ CFU/g), and $100\%$ of dumplings $(1.18\~3.31\;log_{10}\;CFU/g)$ B. cereus was isolated in $21\%$ of seasoned dried fish slices $(0.70\~2.48\;log_{10}\;CFU/g)$, $50\%$ of bread and snacks $(0.70\;log_{10}\;CFU/g)$, and $11\%$ of sugar products $(0.30\;log_{10}\;CFU/g)$. Both E. coli and Salmonella spp. were not isolated in all samples. Preservative was only labeled on four products among 15 products but preservative on 13 products including 4 products haying an indication of preservative were not detected. Moreover, $0.30\%$ of sorbic acid was detected in one of Squid products . The results of this study indicated that the hygienic level of child foods in Gyeonggi and Incheon was very poor and need to be improved.