• Archives of design research
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• v.19 no.5 s.67
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• pp.293-302
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• 2006

Since the late 20C, the development of informative electronic technology has expanded human beings' spatial recognition from three-dimension into multi-dimension. Also space has formed mutual organic relation with the human being, since they started having the image responding ability of experience and recognition. The mutual organic relation has appeared in exhibition space aggressively introduced informative electronic technology from existing physical space. Therefore, m carried out a compartive study into the status of exhibition facilities and the form of interaction focusing on exhibition facilities as a medium of interaction between information and users in experiential exhibition space to which informative electronic technology had been introduced. The ultimate purpose of the study was that the phenomena, which had been anticipated from happenings in mutual organic relation between human beings and space, was reflected on space as a place of various communication activities. Hereafter, researches and studies on further exhibition should be continued to clarify the mutual relationship between exhibition space and user trends not only through exhibition space but also through the study of user trends that are changing everyday.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.75-87
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• 2015

This study aims to explore how the copyright for writers of informative TV programs and documentaries is protected in the reality of broadcasting. For this study, 12 writers and the head of copyright department of the Korea TV & Radio Writers Association were interviewed in depth for research. Our interview findings suggest that writers have worked without written agreement signed by some form of legally binding contract. Instead, they have made verbal contracts. Writers should be aware of the reality of copyrights and request to readjust of basic copywriting fee from the Writers Association and each broadcasting station.

• Asian-Australasian Journal of Animal Sciences
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• v.23 no.2
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• pp.154-161
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• 2010

The level of genetic differentiation and genetic structure in a Chinese native chicken breed, Bian chicken, and two controlled chicken populations (Jinghai chicken and Youxi chicken in China) were analysed based on 29 microsatellite markers. A total of 166 distinct alleles were observed across the 3 breeds, and 32 of these alleles (19.3%) were unique to only 1 breed. Bian chicken carried the largest number of private alleles at 15 (46.9%), followed by the Jinghai chicken with 12 private alleles (37.5%). The average polymorphism information content (0.5168) and the average expected heterozygote frequency (0.5750) of the Bian chicken were the highest, and those of the Jinghai chicken were 0.4915 and 0.5505, respectively, which were the lowest. Among 29 microsatellite loci, there were 15 highly informative loci in Bian chicken, and the other 14 were reasonably informative loci. The highly informative loci in Jinghai chicken and Youxi chicken were 17 and 14 respectively. Significant deviations from the Hardy-Weinberg equilibrium were observed at several locus-breed combinations, showing a deficit of heterozygotes in many cases. As a whole, genetic differentiation among the breeds estimated by the fixation index (Fst) were at 6.7% (p<0.001). The heterozygote deficit within population (Fis) was 22.2% (p<0.001), with the highest (0.249) in Bian chicken and lowest (0.159) in Youxi chicken. These results serve as an initial step in the plan for genetic characterization and conservation of the Chinese chicken genetic resource of Bian, as well as Jinghai and Youxi chickens.

• The Korean Journal of Applied Statistics
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• v.29 no.1
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• pp.113-122
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• 2016

Longitudinal data often occur in prospective follow-up studies. Joint model for longitudinal data and failure time has been applied on several works. In this paper, we extend it to the case where longitudinal data involve informative observation time process as well as competing risks survival times. We use a likelihood approach and derive an EM algorithm to obtain maximum likelihood estimate of parameters. A suggested joint model allows us to make inferences for three components: longitudinal outcome, observation time process and competing risk failure time. In addition, we can test the association among these components. In this paper, liver cirrhosis patients' data is analyzed. The relationship between prothrombin times measured at irregular visiting times and drop outs is investigated with a joint model.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.575-588
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• 2012

Exploiting unlabeled text data with a relatively small labeled corpus has been an active and challenging research topic in text mining, due to the recent growth of the amount of biomedical literature. Biomedical named-entity recognition is an essential prerequisite task before effective text mining of biomedical literature can begin. This paper proposes an Active Co-Training (ACT) algorithm for biomedical named-entity recognition. ACT is a semi-supervised learning method in which two classifiers based on two different feature sets iteratively learn from informative examples that have been queried from the unlabeled data. We design a new classification problem to measure the informativeness of an example in unlabeled data. In this classification problem, the examples are classified based on a joint view of a feature set to be informative/non-informative to both classifiers. To form the training data for the classification problem, we adopt a query-by-committee method. Therefore, in the ACT, both classifiers are considered to be one committee, which is used on the labeled data to give the informativeness label to each example. The ACT method outperforms the traditional co-training algorithm in terms of f-measure as well as the number of training iterations performed to build a good classification model. The proposed method tends to efficiently exploit a large amount of unlabeled data by selecting a small number of examples having not only useful information but also a comprehensive pattern.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.26 no.2
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• pp.219-229
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• 2019

Purpose: This study aimed to investigate the difference between primary caregivers' self-efficacy and coping strategy according to the communication styles of home care nurses. Methods: Data were collected from 123 primary caregivers of patients who were registered at a home care nursing center in D city and who had been receiving home care for more than 3 months from January 1 to February 27, 2018. The questionnaire included items on communication style, self-efficacy, and stress coping strategy. The data were analyzed using descriptive statistics, t-test, and ANOVA. Results: Regarding primary caregivers' self-efficacy in terms of communication style, the caregivers showed higher efficacy in providing informative and friendly communication (F=14.07, p=.001). Regarding home care nurses' communication style and the stress coping strategy of the primary caregivers, the informative-friendly communication style was adopted the most for the problem-solving coping strategy (F=7.17, p=.001). Regarding the social support-seeking coping, home care nurses' friendly communication style was the most adopted (F=4.40, p=.014). Conclusion: This study suggests that home care nurses will plan to provide informative and friendly communication-oriented nursing care, and to improve self-efficacy and positively influence the coping method by using the communication styles appropriate to the state of the primary caregiver.

• Smart Structures and Systems
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• v.29 no.1
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• pp.195-206
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• 2022

Crack detection is essential for inspection of existing structures and crack segmentation based on deep learning is a significant solution. However, datasets are usually one of the key issues. When building a new dataset for deep learning, laborious and time-consuming annotation of a large number of crack images is an obstacle. The aim of this study is to develop an approach that can automatically select a small portion of the most informative crack images from a large pool in order to annotate them, not to label all crack images. An active learning method with difficulty learning mechanism for crack segmentation tasks is proposed. Experiments are carried out on a crack image dataset of a steel box girder, which contains 500 images of 320×320 size for training, 100 for validation, and 190 for testing. In active learning experiments, the 500 images for training are acted as unlabeled image. The acquisition function in our method is compared with traditional acquisition functions, i.e., Query-By-Committee (QBC), Entropy, and Core-set. Further, comparisons are made on four common segmentation networks: U-Net, DeepLabV3, Feature Pyramid Network (FPN), and PSPNet. The results show that when training occurs with 200 (40%) of the most informative crack images that are selected by our method, the four segmentation networks can achieve 92%-95% of the obtained performance when training takes place with 500 (100%) crack images. The acquisition function in our method shows more accurate measurements of informativeness for unlabeled crack images compared to the four traditional acquisition functions at most active learning stages. Our method can select the most informative images for annotation from many unlabeled crack images automatically and accurately. Additionally, the dataset built after selecting 40% of all crack images can support crack segmentation networks that perform more than 92% when all the images are used.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.547-559
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• 2023

Proper handling of nonresponse in sample survey improves the accuracy of the parameter estimation. Various studies have been conducted to properly handle MAR (missing at random) nonresponse or MCAR (missing completely at random) nonresponse. When nonresponse occurs, the PSA (propensity score adjusted) estimator is commonly used as a mean estimator. The PSA estimator is known to be unbiased when known sample weights and properly estimated response probabilities are used. However, for MNAR (missing not at random) nonresponse, which is affected by the value of the study variable, since it is very difficult to obtain accurate response probabilities, bias may occur in the PSA estimator. Chung and Shin (2017, 2022) proposed a post-stratification method to improve the accuracy of mean estimation when MNAR nonresponse occurs under a non-informative sample design. In this study, we propose a double post-stratification method to improve the accuracy of the naive PSA estimator for MNAR nonresponse under an informative sample design. In addition, we perform simulation studies to confirm the superiority of the proposed method.

• Journal of Korea Water Resources Association
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• v.46 no.3
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• pp.315-326
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• 2013

Despite of the importance on the maintenance of a reservoir storage, relatively few studies have addressed the stochastic reliability analysis including uncertainty on the decrease of the reservoir storage by the sedimentation. Therefore, the stochastic gamma process under the reliability framework is developed and applied to estimate the reduction of the Soyang Dam reservoir storage in this paper. Especially, in the estimation of parameters of the stochastic gamma process, the Bayesian MCMC scheme using informative prior distribution is used to incorporate a wide variety of information related with the sedimentation. The results show that the selected informative prior distribution is reasonable because the uncertainty of the posterior distribution is reduced considerably compared to that of the prior distribution. Also, the range of the expected life time of the dead storage in Soyang Dam reservoir including uncertainty is estimated from 119.3 years to 183.5 years at 5% significance level. Finally, it is suggested that the improvement of the assessment strategy in this study can provide the valuable information to the decision makers who are in charge of the maintenance of a reservoir.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10a
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• pp.74-75
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• 2007