• 제목/요약/키워드: Statistics Matching

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ON APPROXIMATIONS FOR GI/G/c RETRIAL QUEUES

  • Shin, Yang Woo;Moon, Dug Hee
    • Journal of applied mathematics & informatics
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    • 제31권1_2호
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    • pp.311-325
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    • 2013
  • The effects of the moments of the interarrival time and service time on the system performance measures such as blocking probability, mean and standard deviation of the number of customers in service facility and orbit are numerically investigated. The results reveal the performance measures are more sensitive with respect to the interarrival time than the service time. Approximation for $GI/G/c$ retrial queues using $PH/PH/c$ retrial queue is presented.

Approximation of M/G/c Retrial Queue with M/PH/c Retrial Queue

  • Shin, Yang-Woo;Moon, Dug-Hee
    • Communications for Statistical Applications and Methods
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    • 제19권1호
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    • pp.169-175
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    • 2012
  • The sensitivity of the performance measures such as the mean and the standard deviation of the queue length and the blocking probability with respect to the moments of the service time are numerically investigated. The service time distribution is fitted with phase type(PH) distribution by matching the first three moments of service time and the M/G/c retrial queue is approximated by the M/PH/c retrial queue. Approximations are compared with the simulation results.

Empirical Choice of the Shape Parameter for Robust Support Vector Machines

  • Pak, Ro-Jin
    • Communications for Statistical Applications and Methods
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    • 제15권4호
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    • pp.543-549
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    • 2008
  • Inspired by using a robust loss function in the support vector machine regression to control training error and the idea of robust template matching with M-estimator, Chen (2004) applies M-estimator techniques to gaussian radial basis functions and form a new class of robust kernels for the support vector machines. We are specially interested in the shape of the Huber's M-estimator in this context and propose a way to find the shape parameter of the Huber's M-estimating function. For simplicity, only the two-class classification problem is considered.

INERTIAL EXTRAPOLATION METHOD FOR SOLVING SYSTEMS OF MONOTONE VARIATIONAL INCLUSION AND FIXED POINT PROBLEMS USING BREGMAN DISTANCE APPROACH

  • Hammed A. Abass;Ojen K. Narain;Olayinka M. Onifade
    • Nonlinear Functional Analysis and Applications
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    • 제28권2호
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    • pp.497-520
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    • 2023
  • Numerous problems in science and engineering defined by nonlinear functional equations can be solved by reducing them to an equivalent fixed point problem. Fixed point theory provides essential tools for solving problems arising in various branches of mathematical analysis, such as split feasibility problems, variational inequality problems, nonlinear optimization problems, equilibrium problems, complementarity problems, selection and matching problems, and problems of proving the existence of solution of integral and differential equations.The theory of fixed is known to find its applications in many fields of science and technology. For instance, the whole world has been profoundly impacted by the novel Coronavirus since 2019 and it is imperative to depict the spread of the coronavirus. Panda et al. [24] applied fractional derivatives to improve the 2019-nCoV/SARS-CoV-2 models, and by means of fixed point theory, existence and uniqueness of solutions of the models were proved. For more information on applications of fixed point theory to real life problems, authors should (see [6, 13, 24] and the references contained in).

A Study on Image Recommendation System based on Speech Emotion Information

  • Kim, Tae Yeun;Bae, Sang Hyun
    • 통합자연과학논문집
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    • 제11권3호
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    • pp.131-138
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    • 2018
  • In this paper, we have implemented speeches that utilized the emotion information of the user's speech and image matching and recommendation system. To classify the user's emotional information of speech, the emotional information of speech about the user's speech is extracted and classified using the PLP algorithm. After classification, an emotional DB of speech is constructed. Moreover, emotional color and emotional vocabulary through factor analysis are matched to one space in order to classify emotional information of image. And a standardized image recommendation system based on the matching of each keyword with the BM-GA algorithm for the data of the emotional information of speech and emotional information of image according to the more appropriate emotional information of speech of the user. As a result of the performance evaluation, recognition rate of standardized vocabulary in four stages according to speech was 80.48% on average and system user satisfaction was 82.4%. Therefore, it is expected that the classification of images according to the user's speech information will be helpful for the study of emotional exchange between the user and the computer.

패턴 매칭과 통계 모델링을 이용한 대화 인터페이스 시스템의 구현 (Implementation of a Dialogue Interface System Using Pattern Matching and Statistical Modeling)

  • 김학수
    • 컴퓨터교육학회논문지
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    • 제10권3호
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    • pp.67-73
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    • 2007
  • 본 논문에서는 대화 인터페이스 시스템을 구성하는 필수 요소들을 알아보고, 각각에 대한 실용적인 구현 방법을 제안한다. 구현 시스템은 담화 관리자, 의도 분석기, 개체명 인식기, SQL 질의어 생성기, 응답 생성기로 구성된다. 구현 과정에서 비교적 영역 의존성이 낮은 의도 분석 모듈은 통계 기반의 최대 엔트로피 모델을 이용한다. 그리고 높은 영역 이식성을 필요로 하는 개체명 인식기, SQL 질의어 생성기, 응답 생성기는 단순 패턴 매칭 방법을 이용한다. 일정 관리 영역에서의 실험에서 구현 시스템은 88.1%의 의도 분석 정확률과 83.4%의 SQL 질의어 생성 성공률을 보였다.

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The Comparative Study on Third Party Mobile Payment Between UTAUT2 and TTF

  • Wu, Run-Ze;Lee, Jong-Ho
    • 유통과학연구
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    • 제15권11호
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    • pp.5-19
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    • 2017
  • Purpose - According to the research findings, it proposes corresponding market promotion schemes, for Alipay, WeChat wallet and even other payment service providers and mobile internet companies to understand the factors which promote or hinder users' acceptance of mobile payment. Research design, data, and methodology - Statistic analysis of data and social science statistical software of IBM Statistics 23.0 and IBM SPSS AMOS 23.0 were adopted for all the data researched. Results - The technical features of the third party mobile payment and the task characteristics of users have positive influence on the matching degree between task and technology, and the matching degree between task and technology of the third party mobile payment has positive influence on the performance expectancy, effort expectancy and usage intention. The social influence, facilitating condition, price value and enjoyment motivation have significant and positive influence on users' intention of mobile payment adoption. The perceive security of the mobile fingerprint payment of users has positive influence on users' intention of usage. Conclusions - This research has the main contribution on the analysis on the key factors with influence on the third party mobile payment usage by utilizing the integrated model of UTAUT2 and TTF.

선택조립방식의 효율성에 대한 시뮬레이션 검토 (A Review on the Effectiveness of Selective Assembly by Simulation)

  • 권혁무;이영준;이민구;홍성훈
    • 품질경영학회지
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    • 제45권4호
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    • pp.829-846
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    • 2017
  • Purpose: This paper compares the effectiveness of typical selective assembly criteria and suggests the most promising one. Based on the result of a computer simulation, the key issues of selective assembly are examined and the best criterion is recommended from the effectiveness perspective. Methods: Using JAVA program, production of ten thousand units for each pair of components are simulated for selective assembly of the two types. And the number of mismatching and the fraction nonconforming for each criterion are determined. Results: The best match criterion appeared to be most promising from the perspectives of both mismatching and nonconforming problems. Its effectiveness appears to be also good even when the precision of one component is different from that of the other. Conclusion: For designing an optimal method for selective assembly, the best match criterion is recommendable as the base criterion.

지리정보 통합을 위한 하이브리드 스키마 매칭 방법 (A Hybrid Schema Matching Method for Integrating Geographic Information)

  • 이지윤;이석훈;김장원;정동원;백두권
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 추계학술발표대회
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    • pp.1272-1275
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    • 2011
  • 네이버, 다음, 구글 등의 웹 상에서 제공하는 지도 서비스와 KML, GML, GeoRSS와 같은 기술들을 이용하여 하나의 위치 정보로 통합한 지리정보를 사용자에게 제공해 줄 수 있는 연구들은 현재까지 활발히 진행되어 왔다. 그러나 이러한 연구들은 위치 정보만 통하여 줄 뿐 의미 정보까지 통합하여 사용자들에게 다양한 정보들을 제공해주지 못한다. 이 논문에서는 KML, GML, GeoRSS 등으로 표현된 풍부한 지리정보들을 통합하여 웹 기반 지도 서비스에 제공해주는 시스템을 제안한다. 또한 지리정보들의 스키마 통합을 위해 어댑터 기반 의미 처리 방법과 정적/동적 의미 관리 기반 접근 방법을 혼합한 하이브리드 스키마 매칭(Hybrid Schema Matching, HSM) 방법을 제안하고, 제안 시스템의 평가를 위해 스키마 매칭을 위한 4가지 접근 방법과 비교 평가를 수행한다. 평가의 결과로 제안 시스템은 의미 해석에 대한 신뢰성이 보장되고 시스템 구축 비용과 데이터 통합 비용이 상대적으로 낮다는 특징을 지닌다.

정보화기기 활용이 국내 축산농가 총판매금액에 미치는 영향 분석 (A Study on Effects of Adopting ICT in Livestock Farm Management on Farm Sales Revenue)

  • 정한나;심지민;임예린;이종욱
    • 농촌계획
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    • 제30권1호
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    • pp.81-97
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    • 2024
  • This study examines the effects of adopting Information and Communication Technology (ICT) in livestock farm management on farm sales revenue. Using the 2020 Census of Agriculture, Forestry, and Fisheries, a nationally representative data set constructed by Statistics Korea, this study focuses on a sample of 9,020 livestock farms in South Korea. We employ Propensity Score Matching (PSM) methods to address the potential selection bias between 2,076 farms that used ICT for livestock farm management and 6,944 farms that did not. The findings consistently show that the use of ICT significantly increases farm revenue, taking into account the selection bias. The utilization of ICT in livestock farms leads to a higher increase in sales revenue, particularly for farms with greater sales.