• Title/Summary/Keyword: max

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Analysis of relationship between cracked tooth syndrome and occlusion using Q-ray and T-scan (큐레이(Q-ray)와 티스캔(T-scan)을 사용한 치아균열증후군(cracked tooth syndrome)과 교합 사이의 상관관계에 대한 분석)

  • Ahn, Do-Gwan;Choi, Jin-Woo;Kim, Yuseong;Pyo, Se-Wook;Kim, Hee-Kyung
    • The Journal of Korean Academy of Prosthodontics
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    • v.59 no.3
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    • pp.271-280
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    • 2021
  • Purpose. The aim of this study was to evaluate the relationship between the patient's occlusion and a cracked tooth by using T-scan occlusal analysis and a quantitative light-induced fluorescence (QLF) technology. Materials and methods. This study was carried out on 51 patients having cracked teeth between January, 2019 and December, 2020. The tooth crack was determined with a Q-ray pen and QLF parameters (ΔFmax and ΔRmax) were obtained by a Q-ray software. T-scan tests were conducted to all subjects and then, the occlusal force and disclosing time were analyzed. Mann-Whitney U test was performed to compare the occlusal force and disclosing time between cracked teeth groups and contra-lateral normal teeth groups (α = .05). Mann-Whitney U test was performed to compare ΔFmax and ΔRmax according to the results of cold/bite tests (α = .05). A Spearman correlation analysis was run to determine the relationship between ΔFmax or ΔRmax and occlusal force or disclosing time (α=.05). Results. The mean occlusal force and disclosing time were significantly higher on cracked teeth than on normal teeth (P < .05). The ΔFmax or ΔRmax were not significantly different according to the results of cold/bite tests (P > .05). There was no correlation between ΔFmax or ΔRmax and occlusal force or disclosing time (P > .05). Conclusion. There was a significant relationship between occlusion and cracked tooth syndrome. QLF has the potential to be a valuable tool for the diagnosis of tooth crack in clinical practice.

AN OVERVIEW OF MAX-PLUS LINEAR SYSTEMS

  • Kim, Yong-Gu;Shin, Hyun-Hee
    • Honam Mathematical Journal
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    • v.33 no.1
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    • pp.93-113
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    • 2011
  • Let $a{\oplus}b$ = max(a, b), $a{\otimes}b$=a+b, a, $b\in\mathbb{R}_{\varepsilon}\;:=\cup\{-\infty\}$. In max-plus algebra we work on the linear algebra structure for the pair of operations (${\oplus},{\otimes}$) extended to matrices and vectors over $\mathbb{R}_{\varepsilon}$. In this paper our main aim is to reproduce the work of R. A. Cuninghame-Green [3] on the linear systems over a max-plus semi-field $\mathbb{R}_{\varepsilon}$.

MAXIMAL COLUMN RANKS AND THEIR PRESERVERS OF MATRICES OVER MAX ALGEBRA

  • Song, Seok-Zun;Kang, Kyung-Tae
    • Journal of the Korean Mathematical Society
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    • v.40 no.6
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    • pp.943-950
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    • 2003
  • The maximal column rank of an m by n matrix A over max algebra is the maximal number of the columns of A which are linearly independent. We compare the maximal column rank with rank of matrices over max algebra. We also characterize the linear operators which preserve the maximal column rank of matrices over max algebra.

An Adaptive Neuro-Fuzzy System Using Fuzzy Min-Max Networks (퍼지 Min-Max 네트워크를 이용한 적응 뉴로-퍼지 시스템)

  • 곽근창;김성수;김주식;유정웅
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.367-367
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    • 2000
  • In this paper, an Adaptive neuro-fuzzy Inference system(ANFIS) using fuzzy min-max network(FMMN) is proposed. Fuzzy min-max network classifier that utilizes fuzzy sets as pattern classes is described. Each fuzzy set is an aggregation of fuzzy set hyperboxes. Here, the proposed method transforms the hyperboxes into gaussian membership functions, where the transformed membership functions are inserted for generating fuzzy rules of ANFIS. Finally, we applied the proposed method to the classification problem of iris data and obtained a better performance than previous works.

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Max k-Cut based Clustering Algorithm for Wireless Sensor Networks (무선 센서 네트워크에서의 Max k-Cut기반의 클러스터링 알고리즘)

  • Kim, Jae-Hwan;Chang, Hyeong-Soo
    • Journal of KIISE:Information Networking
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    • v.36 no.2
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    • pp.98-107
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    • 2009
  • In this paper, we propose a novel centralized energy-efficient clustering algorithm, called "MCCA : Max k-Cut based Clustering Algorithm for Wireless Sensor Networks." The algorithm does not use location information and constructs clusters via a distributive Max k-Cut based cluster-head election method, where only relative and approximate distance information with neighbor nodes is used and nodes, not having enough energy, are excluded for cluster-heads for a specific period. We show that the energy efficiency performance of MCCA is better than that of LEACH, EECS and similar to BCDCP's by simulation studies.

Study of Contrast Sensitivities using Polarizer-Transmittance (편광 투과율을 이용한 대비 민감도(Cs) 특성 연구)

  • Park, Sang-An;Kim, Yong-Geun
    • Journal of Korean Ophthalmic Optics Society
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    • v.6 no.2
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    • pp.59-63
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    • 2001
  • Using the rotation of two polarizer plate and the area of transmittance In the visual light region measured by spectrophotometer, we obtained the luminance to measure the Contrast Sensitivity, and calculated the values of $L_{min}$ and ${\theta}_{min}$ after fixed the average contrast, $L_{max}$ and ${\theta}_{max}$ values from the values of two contrasts. Then, when it was fixed by $L_{max}=4000(T%nm)$ and ${\theta}_{max}=44.1^{\circ}$, $L_{min}$ and ${\theta}_{min}$ values were respectively given by 1333, 2666, 3920(T%nm) and 56.6, 54.3, $45^{\circ}$ in Cs values of 2.5, 100.

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Enhancement of Hearability in Geolocation Using Mobile WiMAX Network with Interference Cancellation and Long Integration (간섭 상쇄 기법과 장기 누적 기법을 이용한 WiBro 지상파 측위 시스템의 가청성 향상)

  • Park, Ji-Won;Lim, Jeong-Min;Sung, Tae-Kyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.4
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    • pp.375-383
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    • 2012
  • Together with the GPS-based approach, geolocation through mobile communication networks is a key technology for location-based service. Since the Mobile WiMAX system is considered as a candidate for fourth-generation mobile systems, it is important to investigate its location capability. The geolocation of Mobile WiMAX can be realized when the preamble symbols in the down-link channel are appropriately used for a TDOA (Time-Difference-of-Arrival) approach. However, the cellular structure of Mobile WiMAX inevitably generates co-channel interference, and it is difficult for the mobile terminal to acquire distance measurements from multiple base stations. Therefore, for geolocation via multilateration using the Mobile WiMAX network, it is very important to increase hearability. This paper proposes a geolocation method for Mobile WiMAX which employs interference cancellation and preamble signal overlapping for the enhancement of hearability. A novel interference cancellation strategy for complex-valued Mobile WiMAX signals is presented which has an iterative structure. Simulation results show that the proposed geolocation method provides the user's position with an accuracy of less than 20 m through the Mobile WiMAX cellular network if there is no multi-path or NLOS (None-Line-of-Sight).