• Title/Summary/Keyword: Informative

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A Study on the Influences of Network Features on the Diffusion of Internet Fashion Information (인터넷 패션정보 확산에서 네트워크 특성의 영향에 관한 연구)

  • Song, Ki Eun;Hwang, Sun Jin
    • Journal of the Korean Society of Costume
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    • v.63 no.2
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    • pp.1-13
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    • 2013
  • The purpose of this study is to examine how the features of network in the Internet fashion community affect the diffusion of fashion information to members in the online community with other variables (informative features, consumer features). Communities that actively exchange fashion information among their members were selected for the social network analysis and hypothesis verification. As a result, we found that a few information activists influenced most of the information receivers in the network features of fashion communities. Also, we found that the informative features (usefulness, reliability), consumer features (NFC, innovation) as well as the network features (connectivity, power), have a significant influence on the diffusion of Internet fashion information which verified the importance of the network features in the study on the Internet.

Statistical Analysis of Bivariate Current Status Data with Informative Censoring Using Frailty Effects

  • Kim, Yang-Jin
    • The Korean Journal of Applied Statistics
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    • v.25 no.1
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    • pp.115-123
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    • 2012
  • In animal tumorigenicity data, tumor onsets occur at several sites and onset times cannot be exactly observed. Instead, the existence of tumors is examined only at death time or sacrifice time of the animal. Such an incomplete data structure makes it difficult to investigate the effect of treatment on tumor onset times; in addition, such dependence should be considered when censoring due to death is related with tumor onset. A bivariate frailty effect is incorporated to model bivariate tumor onsets and to connect death with tumor. For the inference of parameters, EM algorithm is applied and a real NTP(National Toxicology Program) dataset is analyzed as an illustrative example.

A Study of the Relationship Between Economic Backgrounds and Reading Interests of High School Students (${\cdot}$고등학생의 경제적배경과 독서흥미와의 관계에 관한 연구)

  • Kim Doo-hong
    • Journal of the Korean Society for Library and Information Science
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    • v.1
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    • pp.59-75
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    • 1970
  • The study tries to clarify middle and high school students' reading interests in recreational, informative, inspirational, and aesthetic reading areas 1,260 students' reading cards from 7 schools are divided into economically high, middle, and low groups, each of which is subdivided into reading objectives. The writer finds no close relationship between the students' economic status and their reading preferences. However, the study indicates that recreational books are read in the order of higher, middle, and lower economic groups and informative and inspirational books in the reversed order. The writer also finds different preferences between individuals more evident than those between groups, and recommends individualized reading guidance for students.

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Characterization of Microsatellite Markers Closely Linked with PKD Loci in the Korean Population

  • Kim, Un-Kyung;Lee, Kyu-Beck
    • Animal cells and systems
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    • v.10 no.2
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    • pp.65-71
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    • 2006
  • Autosomal Dominant Polycystic Kidney Disease (ADPKD) is one of the most common inherited renal disorders in the world. Mutations in PKD1 located on chromosome 16p13.3 are responsible for 85% of all the ADPKD patients whereas mutations in PKD2 on chromosome 4q21-23 are responsible for the rest of the cases. Genetic heterogeneity and the problems of mutation detection in PKD1 suggest that linkage analysis is an important approach to study the genetics of ADPKD. To evaluate the availability of six (CA)n microsatellite markers for the linkage analysis of ADPKD in the Korean population, we examined the allele frequencies and heterozygosities of the markers. With the exception of KG8, five markers were highly informative, with PIC values over 0.5, but the PIC value of KG8 marker was less informative than other five markers because of the low number of alleles. Therefore, this study will be useful in linkage analysis for ADPKD families in the Korean population.

Reconceptualizing Online Free Spaces: A Case Study of the Sunflower Movement

  • Au, Anson
    • Journal of Contemporary Eastern Asia
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    • v.15 no.2
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    • pp.145-161
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    • 2016
  • Using the Sunflower movement as a case study, this article seeks to articulate a theoretical framework to evaluate online "free spaces" as tools for political mobilization. To this end, this article conducts a thematic and content analysis of 151 posts on the official Facebook page of the Sunflower movement. Key results uncover four thematic functions among posts - expressive, informative, informative-support, and promotional - that overlap, in which the expressive theme prevails, and two thematic topics discussed by posts - damages by protesters and their ideology of freedom. I conclude that: (1) combining the logistic and thematic dimensions of posts enables a specific understanding of an online free space's political viability and anticipates the campaigns it will connect itself to; (2) the networked nature of the Sunflower movement page prompts the reconceptualization of (i) online free spaces as nodes through which various political campaigns and struggles are thematically connected by a political ideology; (ii) inactivity as a strategy where protest capital and followers accumulate to prepare and empower future mobilizations.

Introduction of Geo-Mechatronics in Construction IT (정보화 시공분야에서의 Geo-mechatronics 기술의 전망)

  • Kim, Young-Seok
    • Proceedings of the Korean Geotechical Society Conference
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    • 2009.09a
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    • pp.1289-1293
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    • 2009
  • For the purpose of automatic management and enhancing quality of construction, information technology has been employed in construction field recently. As a consequence, informative construction, which utilizes information technology to reduce construction time and optimize construction sequence, becomes a state-of-art field of construction. Considering this case, construction field should more actively adopt other engineering technologies of rapidly advancing fields, such as electronic, control, and informative engineering, in order to reduce construction cost and to solve environmental problems as well as to enhance construction quality. In this aspect, this paper introduces a novel research field 'Geo-mechatronics', which stands for the convergence of geotechnical engineering and mechatronics (i.e. automation of mechanics using electronic technologies). Since the ground is ubiquitous in every infrastructure construction, the Geo-mechatronics research is crucial for the development of construction technology in the future. Moreover, it is believed to that the Geo-mechatronics research will make our construction industry to be more future-oriented and internationally comparative industry.

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Action Costs-based Heuristics for Optimal Planning (최적 계획생성을 위한 동작비용 기반의 휴리스틱)

  • Kim, Wantae;Kim, Hyunsik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.2
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    • pp.27-34
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    • 2017
  • Highly informative admissible heuristics can help to conduct more efficient search for optimal solutions. However, in general, more informative ones of heuristics from planning problems requires lots of computational effort. To address this problem, we propose an Delete Relaxation based Action Costs-based Planning Graph(ACPG) and Action Costs-based Heuristics for solving optimal planning problems more efficiently. The ACPG is an extended one to be applied to can find action costs between subgoal & goal conditions from the Relaxed Planning Graph(RPG) which is a common means to get heuristics for solving the planning problems, Action Costs-based Heuristics utilizing ACPG can find action costs difference between subgoal & goal conditions in an effective way, and then consider them to estimate the goal distance. In this paper, we present the heuristics algorithm to compute Action Costs-based Heuristics, and then explain experimental analysis to investigate the efficiency and the accuracy of the Action Costs-based Heuristics.

Improved Dynamic Subjective Logic Model with Evidence Driven

  • Qiang, Jiao-Hong;Xin, Wang-Xin;Feng, Tian-Jun
    • Journal of Information Processing Systems
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    • v.11 no.4
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    • pp.630-642
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    • 2015
  • In Jøsang's subjective logic, the fusion operator is not able to fuse three or more opinions at a time and it cannot consider the effect of time factors on fusion. Also, the base rate (a) and non-informative prior weight (C) could not change dynamically. In this paper, we propose an Improved Subjective Logic Model with Evidence Driven (ISLM-ED) that expands and enriches the subjective logic theory. It includes the multi-agent unified fusion operator and the dynamic function for the base rate (a) and the non-informative prior weight (C) through the changes in evidence. The multi-agent unified fusion operator not only meets the commutative and associative law but is also consistent with the researchers's cognitive rules. A strict mathematical proof was given by this paper. Finally, through the simulation experiments, the results show that the ISLM-ED is more reasonable and effective and that it can be better adapted to the changing environment.

Bayesian estimation for the exponential distribution based on generalized multiply Type-II hybrid censoring

  • Jeon, Young Eun;Kang, Suk-Bok
    • Communications for Statistical Applications and Methods
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    • v.27 no.4
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    • pp.413-430
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    • 2020
  • The multiply Type-II hybrid censoring scheme is disadvantaged by an experiment time that is too long. To overcome this limitation, we propose a generalized multiply Type-II hybrid censoring scheme. Some estimators of the scale parameter of the exponential distribution are derived under a generalized multiply Type-II hybrid censoring scheme. First, the maximum likelihood estimator of the scale parameter of the exponential distribution is obtained under the proposed censoring scheme. Second, we obtain the Bayes estimators under different loss functions with a noninformative prior and an informative prior. We approximate the Bayes estimators by Lindleys approximation and the Tierney-Kadane method since the posterior distributions obtained by the two priors are complicated. In addition, the Bayes estimators are obtained by using the Markov Chain Monte Carlo samples. Finally, all proposed estimators are compared in the sense of the mean squared error through the Monte Carlo simulation and applied to real data.

Statistical Analysis of Clustered Interval-Censored Data with Informative Cluster Size (정보적군집 크기를 가진 군집화된 구간 중도절단자료 분석을 위한결합모형의 적용)

  • Kim, Yang-Jin;Yoo, Han-Na
    • Communications for Statistical Applications and Methods
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    • v.17 no.5
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    • pp.689-696
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    • 2010
  • Interval-censored data are commonly found in studies of diseases that progress without symptoms, which require clinical evaluation for detection. Several techniques have been suggested with independent assumption. However, the assumption will not be valid if observations come from clusters. Furthermore, when the cluster size relates to response variables, commonly used methods can bring biased results. For example, in a study on lymphatic filariasis, a parasitic disease where worms make several nests in the infected person's lymphatic vessels and reside until adulthood, the response variable of interest is the nest-extinction times. Since the extinction times of nests are checked by repeated ultrasound examinations, exact extinction times are not observed. Instead, data are composed of two examination points: the last examination time with living worms and the first examination time with dead worms. Furthermore, as Williamson et al. (2008) pointed out, larger nests show a tendency for low clearance rates. This association has been denoted as an informative cluster size. To analyze the relationship between the numbers of nests and interval-censored nest-extinction times, this study proposes a joint model for the relationship between cluster size and clustered interval-censored failure data.