• Title/Summary/Keyword: the regular representation

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Comparative Study on The Macro Causes of Single-Mother Households Poverty And Implications on Korea - Focusing on OECD 19 Countries Including Korea(1980-2012) - (독신모가구 빈곤의 거시적 결정요인 국제비교 - 한국을 포함한 OECD 19개국을 대상으로(1981-2012) -)

  • Sim, Sang Yong
    • Korean Journal of Social Welfare
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    • v.68 no.3
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    • pp.51-71
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    • 2016
  • The purpose of this study is to clarify macro causes influencing on the diversity of single-mother households poverty among OECD Countries including Korea. This study carried out pooled time series cross-section analysis applying unbalanced panel design on the period from 1981 to 2012. There is marked diversity on single-mother households poverty. GDP per capita does not contributes to reduce poverty, and female employment rate and % population 0-14 exacerbate poverty. Several factors contribute on poverty reduction including social spending, child cash spending, union density, employment protection on regular workers, proportional representation system, cumulative left cabinet, cumulative women seat. In Korea, it needs to overcome the limit of anti-poverty strategy mainly based on economic growth and labor market flexibility. And it needs to enlarge universal welfare institutions, child benefits, work-family reconciliation policy, and to design adjusted labor market institutions including union density and employment protection, to introduce consensus political model including proportional representation system to enhance left power and women's representation.

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Statistical Inference in Non-Identifiable and Singular Statistical Models

  • Amari, Shun-ichi;Amari, Shun-ichi;Tomoko Ozeki
    • Journal of the Korean Statistical Society
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    • v.30 no.2
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    • pp.179-192
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    • 2001
  • When a statistical model has a hierarchical structure such as multilayer perceptrons in neural networks or Gaussian mixture density representation, the model includes distribution with unidentifiable parameters when the structure becomes redundant. Since the exact structure is unknown, we need to carry out statistical estimation or learning of parameters in such a model. From the geometrical point of view, distributions specified by unidentifiable parameters become a singular point in the parameter space. The problem has been remarked in many statistical models, and strange behaviors of the likelihood ratio statistics, when the null hypothesis is at a singular point, have been analyzed so far. The present paper studies asymptotic behaviors of the maximum likelihood estimator and the Bayesian predictive estimator, by using a simple cone model, and show that they are completely different from regular statistical models where the Cramer-Rao paradigm holds. At singularities, the Fisher information metric degenerates, implying that the cramer-Rao paradigm does no more hold, and that he classical model selection theory such as AIC and MDL cannot be applied. This paper is a first step to establish a new theory for analyzing the accuracy of estimation or learning at around singularities.

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Beyond SDLC: Process Modeling and Documentation Using Thinging Machines

  • Al-Fedaghi, Sabah
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.191-204
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    • 2021
  • The software development life cycle (SDLC) is a procedure used to develop a software system that meets both the customer's needs and real-world requirements. The first phase of the SDLC involves creating a conceptual model that represents the involved domain in reality. In requirements engineering, building such a model is considered a bridge to the design and construction phases. However, this type of model can also serve as a basic model for identifying business processes and how these processes are interconnected to achieve the final result. This paper focuses on process modeling in organizations, per se, beyond its application in the SDLC when an organization needs further documentation to meet its growth needs and address regular changes over time. The resultant process documentation is created alongside the daily operations of the business process. The model provides visualization and documentation of processes to assist in defining work patterns, avoiding redundancy, or even designing new processes. In this paper, a proposed diagrammatic representation models each process using one diagram comprising five actions and two types of relations to build three levels of depiction. These levels consist of a static description, events, and the behavior of the modeled process. The viability of a thinging machine is demonstrated by re-modeling some examples from the literature.

Comparision of Job Stress according to Job-Related Properties in Call Center Employees (콜센터 고객 상담원의 직무 특성에 따른 직무 스트레스 비교 분석)

  • Kim, Mi-Young;Oh, Chang-Seok
    • The Korean Journal of Health Service Management
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    • v.5 no.2
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    • pp.187-197
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    • 2011
  • The purpose of this study is to analyze factors related to the job stress experienced by call center employees at public institutions, so as to provide basic data to relieve work-related stress and enhance the job satisfaction of such employees. To promote objectivity and representation, the study was conducted by way of survey, the subjects being call center employees in 8 public institutions that operate call centers, which are located in the Busan and Seoul areas. Of the 240 surveys distributed, 196 were collected and 173 of those were used for analysis after eliminating 25 with insufficient responses. The results of this study are as follows. First, in terms of general properties, it was determined that employees with higher levels of education and families to support had greater job stress. second, in terms of job-related properties, employees who were unsatisfied with the job, HR policies, and their relationship with superiors and/or colleagues had greater job stress. In terms of the group that was satisfied compared with the group that was unsatisfied with the job, HR policies, and their relationship with superiors and/or colleagues, regular workers had less job stress than irregular workers.

A Study on the Visual System of Object - Oriented Based on Abstract Information (객체지향을 기반으로한 추상화 정보의 시각화 시스템에 대한 연구)

  • Kim, Haeng-Kon;Han, Eun-Ju;Chung, Youn-Ki
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.10
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    • pp.2434-2444
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    • 1997
  • As software industry progresses, the necessity of visual information have increased more than text-oriented information. So, automatic tools are required to satisfy a user's desire for visual design representation of various source information in the real-world. In this paper, we discuss the methodology and tools for parsing abstract information through semantic analysis and extracting visual information through visual mapping. Namely, as to abstract informations are represented as relational structure and then mapped into visual structure using regular rule, user can obtain visual information. We suggest VOLS(Visual Object Layout System) to transform a abstract information to visual information. It can improve user understandability and assist a maintenance for existing source code.

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Hybrid Behavior Evolution Model Using Rule and Link Descriptors (규칙 구성자와 연결 구성자를 이용한 혼합형 행동 진화 모델)

  • Park, Sa Joon
    • Journal of Intelligence and Information Systems
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    • v.12 no.3
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    • pp.67-82
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    • 2006
  • We propose the HBEM(Hybrid Behavior Evolution Model) composed of rule classification and evolutionary neural network using rule descriptor and link descriptor for evolutionary behavior of virtual robots. In our model, two levels of the knowledge of behaviors were represented. In the upper level, the representation was improved using rule and link descriptors together. And then in the lower level, behavior knowledge was represented in form of bit string and learned adapting their chromosomes by the genetic operators. A virtual robot was composed by the learned chromosome which had the best fitness. The composed virtual robot perceives the surrounding situations and they were classifying the pattern through rules and processing the result in neural network and behaving. To evaluate our proposed model, we developed HBES(Hybrid Behavior Evolution System) and adapted the problem of gathering food of the virtual robots. In the results of testing our system, the learning time was fewer than the evolution neural network of the condition which was same. And then, to evaluate the effect improving the fitness by the rules we respectively measured the fitness adapted or not about the chromosomes where the learning was completed. In the results of evaluating, if the rules were not adapted the fitness was lowered. It showed that our proposed model was better in the learning performance and more regular than the evolutionary neural network in the behavior evolution of the virtual robots.

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A Comparative Study on Gifted Programs Abroad for Economically Disadvantaged or Minority Students: The Cases of US, UK, Germany, Australia, and Israel (외국의 소외계층 학생을 위한 영재교육 프로그램 비교: 미국, 영국, 독일, 호주, 이스라엘 사례 중심으로)

  • Lee, Shin-Dong;Lee, Kyung-Sook
    • Journal of Gifted/Talented Education
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    • v.25 no.3
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    • pp.439-463
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    • 2015
  • This study compared 14 programs for the economically disadvantaged or minority students with potentials in 5 countries - US, UK, Germany, Australia, and Israel, attempting contents and characters of Korean Head Start to be developed, that is the program for economically disadvantaged gifted students or students from multi-cultural families, who are gifted at risk of under-representation and under-achievement. School wide enrichment programs, which served all students with gifted programs, using RTI model in the pursuit of equity and excellence, turned out to be effective as early interventions and identification implemented for economically disadvantaged or minority students with potentials. Gifted programs for low Social Economic Status (SES) or minority students played a role as a bridge for disadvantaged students to get into a regular gifted program or even higher gifted schools and to have a competency to compete with affluent gifted students. The principles of the programs were acceleration and differentiation. Most programs also ran a parents' education and a mentor program to motivate and support disadvantaged students socially and emotionally. Collaboration among governmental offices and usage of external resources were more effective to support these students and the programs.

Demand Analysis of Quality Certificated Fisheries Products using Double Hurdle Model (더블허들모형에 의한 품질인증 수산물 수요분석)

  • 백진이;이승래;조재환
    • The Journal of Fisheries Business Administration
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    • v.34 no.2
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    • pp.131-139
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    • 2003
  • The products of the quality certificated fisheries which are protected from environmental pollution, decomposition are hygienically safe and convenient for food. However, consumers have not yet understood the recognition of the system of quality certfication so far because of lack of demand on the quality certification fisheries. Above all, to put the system of the quality QC in place sucessfully, to understand the variation of consumer's inclination efficiently, the empirical study must be carried out by both consumer's take part in the market of the quality certificated fisheries products and how much the amount of consumption is in this market. The purpose of this study, under the preconditions where these have limited fisheries items in consumer's inclination survey, is to analyze the demand of QC though the Double Hurdle Model. Explanatory variables included were household characteristics such as housewives' age and education, her job, household income as well as their health perceptions and food purchase behaviors. Survey from 530 household was collected in Pusan City in 2003, of 502 were actually used for empirical analysis. The Double-hurdle framework proved to a better representation of the factors influencing the separate decision participation and consumption levels. According to the results of this study, whether or not, participating In the market of quality certicipating in the market of qualify certificated fisheries products is affected by how much experience and confidence these have got. housewives' having a job or not. Furthermore, the amount of consumption is mostly affected income. This value is attributed to the safety of QC fisheries products in comparison with regular fisheries. Findings suggest that the consumers put substantially high monetary value on safe food, such as high quality fisheries products. Therefore, first of all, legal and institutional systems should be clearly and strictly identified for the QC products.

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Color Images Utilizing the Properties Emotional Quantification Algorithm (이미지 색채 속성을 활용한 감성 정량화 알고리즘)

  • Lee, Yean-Ran
    • The Journal of the Korea Contents Association
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    • v.15 no.11
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    • pp.1-9
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    • 2015
  • Emotion recognition and regular controls are concentrated interest in computer studies to emotional changes. Thus, the quantified by objective assessment methods are essential for application of color sensibility computing situations. In this paper, it is applied to a digital color image emotion emotional computing calculations numbered recognized as one representation. Emotional computing research approach consists of a color attribute to the image recognition focused sensibility and emotional attributes of color is the color, brightness and saturation separated by. Computes the sensitivity weighted according to the score and the percentage increase or decrease in the sensitivity property tone applied to emotional expression. Sensitivity calculation is free-degree (X), and calculates the tension (Y-axis). And free-level (X-axis) coordinate of emotion, which is located the intersection of the tension (Y-axis) as a sensitivity point. The emotional effect of the Russell coordinates are utilizing the core (Core Affect). Tue numbers represent the size and sensitivity in the emotional relationship between emotional point location and quantified by computing the color sensibility.

A Study on Visual Contents Exhibition Design as Efficient Spatial Experience Utilizing Internet of Things (사물인터넷을 활용한 효율적인 공간체험 영상콘텐츠 전시 디자인에 대한 연구)

  • Ryu, Chang-Su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.611-612
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    • 2017
  • Recently, exhibition space has incorporated a format in which visual contents providers and viewers can directly or indirectly experience the space with a sense of immersion. By offering more extended spatiality within a limited space, such exhibition design is now transcending physical limitations and expanding to visual reality; as such, exhibition design demands the implementation of not only visual elements but information services generated between people, contents, and objects. To this end, this study examines the changes and the development direction of exhibition techniques that use Internet of Things (IoT), which is a representation of environmental change in exhibition design of our times; it also explores the various forms of change based on the perception of the visual contents (visual exhibits) users during the act of accumulating and using information through the smartphone communication of viewers who experience the space through IoT. Finally, the study conducts a case study on the relationship between a regular exhibition and an exhibition design that makes use of IoT, in order to propose an exhibition design with which to verify whether the viewers are immersed in and experience a sense of realism from visual contents by identifying the viewers' visual and emotional changes.

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