• Title/Summary/Keyword: Multiple Measures

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A Study on Decision Tree for Multiple Binary Responses

  • Lee, Seong-Keon
    • Communications for Statistical Applications and Methods
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    • v.10 no.3
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    • pp.971-980
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    • 2003
  • The tree method can be extended to multivariate responses, such as repeated measure and longitudinal data, by modifying the split function so as to accommodate multiple responses. Recently, some decision trees for multiple responses have been constructed by Segal (1992) and Zhang (1998). Segal suggested a tree can analyze continuous longitudinal response using Mahalanobis distance for within node homogeneity measures and Zhang suggested a tree can analyze multiple binary responses using generalized entropy criterion which is proportional to maximum likelihood of joint distribution of multiple binary responses. In this paper, we will modify CART procedure and suggest a new tree-based method that can analyze multiple binary responses using similarity measures.

Statistically Proper Multiple Range Tests for a Within Subject Factor in a Repeated Measures Design

  • Park, Cheol-Yong;Park, Sang-Bum
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.525-534
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    • 2007
  • It is a common practice in many research areas that multiple range tests for a between subject factor such as Tukey are applied to a within subject factor in a repeated measures design. Tukey procedure, however, sometimes detects no pairs with different means even when the hypothesis of all equal level means is rejected. This study attempts to provide a rationale for the proposition that Tukey is inappropriate post hoc procedure for a within subject factor in which the observations are correlated. We introduce two multiple range tests, Bonferroni and Scheffe, for a within subject factor and show that Bonferroni is more appropriate than Scheffe for pairwise multiple comparisons. Subsequent simulation study indicates that Tukey has significantly less power than Bonferroni in detecting actual difference between means of some pairs when the observations of a within subject factor are highly correlated.

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A Code Authentication System of Counterfeit Printed Image Using Multiple Comparison Measures (다중 비교척도에 의한 영상 인쇄물 위조 감식 시스템)

  • Choi, Do-young;Kim, Jin-soo
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.4
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    • pp.1-12
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    • 2018
  • Currently, a large amount of printed matter associated with code authentication method are diffused widely, however, they have been reproduced with great precision and distributed successively in illegal ways. In this paper, we propose an efficient code authentication method which classifies authentic or counterfeit with smart-phone, effectively. The proposed method stores original image code in the server side and then extracts multiple comparison measures describing the original image. Based on these multiple measures, a code authentication algorithm is designed in such a way that counterfeit printed images may be effectively classified and then the recognition rate may be highly improved. Through real experiments, it is shown that the proposed method can improve the recognition rate greatly and lower the mis-recognition rate, compared with single measure method.

Performance Models of Multi-stage Bernoulli Lines with Multiple Product and Dedicated Buffers (다품종 제품과 전용 대기공간을 고려한 다단계 베르누이 라인을 위한 성능 모델)

  • Park, Kyungsu;Han, Jun-Hee;Kim, Woo-Sung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.3
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    • pp.22-32
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    • 2021
  • To meet rapidly changing market demands, manufacturers strive to increase both of productivity and diversity at the same time. As a part of those effort, they are applying flexible manufacturing systems that produce multiple types and/or options of products at a single production line. This paper studies such flexible manufacturing system with multiple types of products, multiple Bernoulli reliability machines and dedicated buffers between them for each of product types. As one of the prevalent control policies, priority based policy is applied at each machines to select the product to be processed. To analyze such system and its performance measures exactly, Markov chain models are applied. Because it is too complex to define all relative transient and its probabilities for each state, an algorithm to update transient state probability are introduced. Based on the steady state probability, some performance measures such as production rate, WIP-based measures, blocking probability and starvation probability are derived. Some system properties are also addressed. There is a property of non-conservation of flow, which means the product ratio at the input flow is not conserved at the succeeding flows. In addition, it is also found that increased buffer capacity does not guarantee improved production rate in this system.

THE EXISTENCE OF PRODUCT BROWNIAN PROCESSES

  • Kwon, Joong-Sung
    • Journal of the Korean Mathematical Society
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    • v.33 no.2
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    • pp.319-332
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    • 1996
  • Many authors have studied multiple stochastic integrals in pursuit of the existence of product processes in terms of multiple integrals. But there has not been much research into the structure of the product processes themselves. In this direction, a study which gives emphasis on sample path continuity and boundedness properties was initiated in Pyke[9]. For details of problem set-ups and necessary notations, see [9]. Recently the weak limits of U-processes are shown to be chaos processes, which is product of the same Brownian measures, see [2] and [7].

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Aggregation of Measures of Effectiveness with Constant Sum Scaling Method and Multiple Regression

  • Kim, Hyung-Bae
    • Journal of the military operations research society of Korea
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    • v.5 no.2
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    • pp.27-38
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    • 1979
  • This method explores a method of aggregating the measures of effectiveness of a weapon system from its characteristics. With this method, the constant sum method and multiple regression are used to develop a functional relationship between system effectiveness and system characteristics. As an example, a study of a tank weapon system was${\cdot}$conducted with data from the U.S. Army Armor School. It was concluded that the aggregation method is feasible, and that for the tank system studied, the reciprocals of system characteristics give a good estimating equation for measuring tank system effectiveness.

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A Study on the Measures of Performance of M/M/s Queues Where Customers Demanding Multiple Channel Use (고객이 다수의 서어비스를 원하는 대기행렬의 수행척도에 관한 연구)

  • Kim, Seong-Sik
    • Journal of Korean Institute of Industrial Engineers
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    • v.9 no.1
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    • pp.17-21
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    • 1983
  • Applying the matrix method for the two dimensional Markovian queues, this paper offers a procedure to calculate the exact values of measures of performance of M/M/s queues where customers demand multiple number of servers. A method of obtaining steady state probabilities is illustrated as well. An example problem is also presented.

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Reliability analysis of an embedded system with multiple vacations and standby

  • Sharma, Richa;Kaushik, Manju;Kumar, Gireesh
    • International Journal of Reliability and Applications
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    • v.16 no.1
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    • pp.35-53
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    • 2015
  • This investigation deals with reliability and sensitivity analysis of a repairable embedded system with standby wherein repairman takes multiple vacations. The hardware system consists of 'M' operating and 'S' standby components. The repairman can leave for multiple vacations of random length during its idle time. Whenever any operating unit fails, it is immediately replaced by a standby unit if available. Moreover, governing equations of an embedded system are constructed using appropriate birth-death rates. The vacation and repair time of repairman are exponentially distributed. The matrix method is used to find the steady-state probabilities of the number of failed components in the embedded system as well as other performance measures. Reliability indexes are presented. Further, numerical experiments are carried out for various system characteristics to examine the effects of different parameter. Using a special class of neuro-fuzzy systems i.e. Adaptive Network-based Fuzzy Interference Systems (ANFIS), we also approximate various performance measures. Finally, the conclusions and future research directions are provided.

SOME RECURRENCE RELATIONS OF MULTIPLE ORTHOGONAL POLYNOMIALS

  • Lee, Dong-Won
    • Journal of the Korean Mathematical Society
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    • v.42 no.4
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    • pp.673-693
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    • 2005
  • In this paper, we first find a necessary and sufficient condition for the existence of multiple orthogonal polynomials by the moments of a pair of measures $(d{\mu},\;dv)$ and then give representations for multiple orthogonal polynomials. We also prove four term recurrence relations for multiple orthogonal polynomials of type II and several interesting relations for multiple orthogonal polynomials are given. A generalized recurrence relation for multiple orthogonal polynomials of type I is found and then four term recurrence relations are obtained as a special case.

Review on dexterity measures for kinematically redundant manipulators (여유 자유도를 갖는 매니퓨레이터의 능숙성 지수에 대한 Review)

  • 정원지;최혁렬;정완균;염영일
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.62-67
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    • 1990
  • A number of performance measures have been proposed for the quantification of dexterity for kinematically redundant manipulators. The use of such measures is especially important for kinematically redundant manipulators since they can satisfy the subtasks such as singularity avoidance and obstacle avoidance in addition to satisfying a specification of end-effector motion. In this paper, the advantages and disadvantages of performance measures proposed up to date are compared through simulations under the same environment. Besides, a new dexterity index for manipulators with multiple degrees of redundancy is proposed and shown to be effective through the simulation.

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