• Title/Summary/Keyword: Y-intersection

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Lp-ESTIMATES FOR THE ${\bar{\partial}}$-EQUATION WITH EXACT SUPPORT ON q-CONVEX INTERSECTIONS

  • Khidr, Shaban
    • Journal of the Korean Mathematical Society
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    • v.55 no.1
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    • pp.29-42
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    • 2018
  • We construct bounded linear integral operators that giving solutions to the ${\bar{\partial}}$-equation in $L^p$-spaces and with compact supports on a q-convex intersection ($q{\geq}1$) with ${\mathcal{C}}^3$ boundary in $K{\ddot{a}}hler$ manifolds, and we apply it to obtain a Hartogs-like extension theorems for ${\bar{\partial}}$-closed forms for some bidegree.

Robust Inference for Testing Order-Restricted Inference

  • Kang, Moon-Su
    • The Korean Journal of Applied Statistics
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    • v.22 no.5
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    • pp.1097-1102
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    • 2009
  • Classification of subjects with unknown distribution in small sample size setup may involve order-restricted constraints in multivariate parameter setups. Those problems makes optimality of conventional likelihood ratio based statistical inferences not feasible. Fortunately, Roy (1953) introduced union-intersection principle(UIP) which provides an alternative avenue. Redescending M-estimator along with that principle yields a considerably appropriate robust testing procedure. Furthermore, conditionally distribution-free test based upon exact permutation theory is used to generate p-values, even in small sample. Applications of this method are illustrated in simulated data and read data example (Lobenhofer et al., 2002)

A Hierarchical Representation Scheme without Self-Intersection for Planar Shapes (평면 형상에 대한 꼬임의 발생이 배제된 계층적 표현)

  • 허봉식;김성옥;김민환
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.11a
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    • pp.854-858
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    • 2001
  • 본 논문에서는 평면 형상에 대한 꼬임(self-intersection)의 발생을 배제한 계층적 표현을 제안하였다. 기존의 계층적 표현들에서는 실제 활용에 많은 문제를 초래하는 꼬인 형상의 발생을 피할 수 없으며, 이는 반드시 제거될 필요가 있다. 그러나 n개의 점으로 구성된 형상의 고임 문제를 해결하는 데는 O(n$^2$)의 계산량이 요구되므로, 본 논문에서는 계층적 지역화의 경계 영역간 교차 상태를 나타내는 cross-link 개념을 도입하여 효율적으로 해결할 수 있는 꼬임 해결 알고리즘을 제안하고 실험을 통해 그 효율성을 확인하였다.

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Q-learning for intersection traffic flow Control based on agents

  • Zhou, Xuan;Chong, Kil-To
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.94-96
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    • 2009
  • In this paper, we present the Q-learning method for adaptive traffic signal control on the basis of multi-agent technology. The structure is composed of sixphase agents and one intersection agent. Wireless communication network provides the possibility of the cooperation of agents. As one kind of reinforcement learning, Q-learning is adopted as the algorithm of the control mechanism, which can acquire optical control strategies from delayed reward; furthermore, we adopt dynamic learning method instead of static method, which is more practical. Simulation result indicates that it is more effective than traditional signal system.

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Properties of object composition operations for object-oriented CAD database systems

  • Chang, Tae-Soo;Tanaka, Katsumi
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.1016-1021
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    • 1989
  • In this paper, we introduce a recursively-defined natural join operation as well as well-known object composition operations (union, intersection) for composing CAD database objects. Then, we will discuss how to realize these operations by the message passing computing mechanism. Next, we will discuss what kind of behaviours (methods) are preserved under our natural join operations. Finally, we investigate mathematical properties about the relationships among several object composition operations (natural join, union and intersection).

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A STRUCTURE THEOREM FOR A CLASS OF GORENSTEIN IDEALS OF GRADE FOUR

  • Cho, Yong S.
    • Honam Mathematical Journal
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    • v.36 no.2
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    • pp.387-398
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    • 2014
  • In this paper, we give a structure theorem for a class of Gorenstein ideal of grade 4 which is the sum of an almost complete intersection of grade 3 and a Gorenstein ideal of grade 3 geometrically linked by a regular sequence. We also present the Hilbert function of a Gorenstein ideal of grade 4 induced by a Gorenstein matrix f.

Computational Reduction in Keyword Spotting System Based on the Bucket Box Intersection (BBI) Algorithm

  • Lee, Kyo-Heok;Kim, Hyung-Soon
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.2E
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    • pp.27-31
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    • 2000
  • Evaluating log-likelihood of Gaussian mixture density is major computational burden for the keyword spotting system using continuous HMM. In this paper, we employ the bucket box intersection (BBI) algorithm to reduce the computational complexity of keyword spotting. We make some modification in implementing BBI algorithm in order to increase the discrimination ability among the keyword models. According to our keyword spotting experiments, the modified BBI algorithm reduces 50% of log-likelihood computations without performance degradation, while the original BBI algorithm under the same condition reduces only 30% of log-likelihood computations.

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REPRESENTATION OF INTUITIONISTIC FUZZY SOFT SET USING COMPLEX NUMBER

  • KHAN, MOHSIN
    • Journal of applied mathematics & informatics
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    • v.35 no.3_4
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    • pp.331-347
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    • 2017
  • Soft sets are fantastic mathematical tools to handle imprecise and uncertain information in complicated situations. In this paper, we defined the hybrid structure which is the combination of soft set and complex number representation of intuitionistic fuzzy set. We defined basic set theoretic operations such as complement, union, intersection, restricted union, restricted intersection etc. for this hybrid structure. Moreover, we developed this theory to establish some more set theoretic operations like Disjunctive sum, difference, product, conjugate etc.