• International Journal of Highway Engineering
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• v.15 no.1
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• pp.163-169
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• 2013

PURPOSES: The urban traffic problems can be defined as general problems for smooth traffic flow including maintenance of mass transportation system according to suddenly increased population, traffic regulations for vehicles and pollution problem. As a method for solving traffic jams, one of the traffic problems of late, interest in Intelligent Traffic System(ITS) is increasing sharply, which is a system managing traffic demand by providing passers with information on traffic state of path and road conditions before they pass the road through ATIS, a field of ITS. METHODS: Variable message signs(VMS) is used on the roads as a method for providing information to promote smooth traffic flow and safety and prevent traffic accidents in advance by providing drivers with various information while driving. RESULTS: Recently, as ITS industry has been vitalized and technical factors of VMS have developed, various kinds of information is provided but the effect of VMS has not been maximized due to its limited type. CONCLUSIONS: Therefore, this study intends to provide methods for effective information transfer by analyzing driver's visual behavior characteristics for VMS and presenting a basis for maximizing VMS effect after considering read by expression type.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3962-3980
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• 2019

To deal with single sample face recognition, this paper presents a patch based semi-supervised linear regression (PSLR) algorithm, which draws facial variation information from unlabeled samples. Each facial image is divided into overlapped patches, and a regression model with mapping matrix will be constructed on each patch. Then, we adjust these matrices by mapping unlabeled patches to $[1,1,{\cdots},1]^T$. The solutions of all the mapping matrices are integrated into an overall objective function, which uses ${\ell}_{2,1}$-norm minimization constraints to improve discrimination ability of mapping matrices and reduce the impact of noise. After mapping matrices are computed, we adopt majority-voting strategy to classify the probe samples. To further learn the discrimination information between probe samples and obtain more robust mapping matrices, we also propose a multistage PSLR (MPSLR) algorithm, which iteratively updates the training dataset by adding those reliably labeled probe samples into it. The effectiveness of our approaches is evaluated using three public facial databases. Experimental results prove that our approaches are robust to illumination, expression and occlusion.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.544-547
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• 2008

The Growth of Multimedia Digital Content market is extending to IP network environment. this is realized via IPTV service which provide Triple-Service that is broadcasting, communication, telephone service. Recently on IPTV Settop box has fixed key for control access permission. and this is cause of Wasting resource to operation and management. it can be resolved to apply DRM System which mixed MPEG-21 REL(Rights Expression Language) and XML Signature. In this paper, we designed Permission Management Module for IPTV Service which can control permission to access via MPEG-21 and XML Signature.

• Journal of Korean Academy of Nursing
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• v.44 no.3
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• pp.328-338
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• 2014

Purpose: This study was done to explore experiences of persons living through the periods of cancer diagnosis, treatment, and self-care. Methods: With permission, texts of 29 cancer survival narratives (8 men and 21 women, winners in contests sponsored by two institutes), were analyzed using Kang's Korean-Computerized-Text-Analysis-Program where the commonly used Korean-Morphological-Analyzer and the 21st-century-Sejong-Modern-Korean-Corpora representing laymen's Korean-language-use are connected. Experiences were explored based on words included in 100 highly-used-morphemes. For interpretation, we used 'categorizing words by meaning', 'comparing use-rate by periods and to the 21st-century-Sejong-Modern-Korean-Corpora', and highly-used-morphemes that appeared only in a specific period. Results: The most highly-used-word-morpheme was first-person-pronouns followed by, diagnosis treatment-related- words, mind-expression-words, cancer, persons-in-meaningful-interaction, living and eating, information-related-verbs, emotion-expression- words, with 240 to 0.8 times for layman use-rate. 'Diagnosis-process', 'cancer-thought', 'things-to-come-after-diagnosis', 'physician husband', 'result-related-information', 'meaningful-things before diagnosis-period', and 'locus-of-cause' dominated the life of the diagnosis-period. 'Treatment', 'unreliable-body', 'husband people mother physician', 'treatment-related-uncertainty', 'hard-time', and 'waiting-time represented experiences in the treatment-period. Themes of living in the self-care-period were complex and included 'living-as-a-human', 'self-managing-of-diseased-body', 'positive-emotion', and 'connecting past present future'. Conclusion: The results show that the experience of living for persons with cancer is influenced by each period's own situational-characteristics. Experiences of the diagnosis and treatment-period are negative disease-oriented while that of the self-care period is positive present-oriented.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.161-168
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• 2015

Given social problems of social network service (SNS) addiction, it is critical to understand user's formation mechanism of SNS addiction. Since a number of studies have demonstrated the negative outcomes of excessive SNS use, the researchers examined important antecedents of SNS addiction as SNS habit that is considered as a key driver of SNS addiction. Moreover, the effects of self-expression, network management, and information search on SNS addition formation were investigated. The proposed theoretical model was empirically tested by using longitudinal survey data collected from 206 Facebook users. The analysis results indicate that SNS habit plays an important role in forming SNS addiction. Further, self-expression, network management, and information search influence SNS addiction through SNS habit. The analysis results offer some in-depth perspectives to SNS providers and government that establish policies or digital convergence strategies to induce healthy SNS use.

• Journal of Korea Game Society
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• v.15 no.1
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• pp.89-100
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• 2015

This study aims to figure out the impact of cross-promotion strategy on flow experience to overcome the restrictions of social network game. Social network games faces tougher market competition and shorter product life-cycles. The results show that the less users play games, the more they feel flow experience led by interests and self-expression of SNG. On the contrary, the more they play games, self- expression and sense of competition factor are proved to be effective factor for flow. Also Users' cognition for usefulness and annoyingness of cross- promotion are different according to level of game uses and promotion uses. People who play games more and utilize promotion more appreciate the usefulness of promotion and indulge in flow experience of SNG.

• Archives of design research
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• v.16 no.3
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• pp.15-22
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• 2003

At public spaces, signs have purposes of communicating their information clearly. Especially directional signs point out the proper route showing our surroundings. The present directional signs which are indicating 3-dimensional direction in a 2-dimensional mode seem to be difficult to understand as we are moving. This study has the purpose of investigating the role of present signs and suggesting visually effective directional signs, in particular arrows. Firstly, this study surveyed the user's attitude on directional signs in case of subway station. The research shows that the present directional signs hardly perform their roles to communicate the directional information, which means the need of newly expressed arrows. In this study we consider a new effective expression on the viewpoint of human cognition mechanism. So it is thought that those trials are helpful to efficient sign system.

• Journal of Animal Science and Technology
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• v.50 no.6
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• pp.849-856
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• 2008

The present study was undertaken to investigate specific immune response of Rubus coreanus Miquel (raspberry) in pig spleen lymphocytes and gene expression induced by the extracts of raspberry using gene chip technology. The 70% ethyl alcohol extracts of raspberry were treated to pig spleen lymphocytes. The extracts of raspberry stimulated the proliferation of splenocytes and increased the population of CD3 & CD4 T-cells and B-cells in pig spleen lymphocytes. The extracts of raspberry improved immune response by increasing the viability of splenocytes. In microarray study we found eight genes were significantly up- regulated by the extracts of raspberry in pig splenocytes, including genes known to be involved in cell structure and immune response, particularly microtubule-associated protein 4, cytoplasmic dynein heavy chain, tumor necrosis factor alpha, lymphotoxin-beta receptor precursor. However, ten genes were down- regulated by the extracts of raspberry treatment.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.21 no.3
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• pp.128-138
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• 2011

Objectives: It has been pointed out that there are problems in handling and managing chemicals due to trade secrets of Material Safety Data Sheet(MSDS). To date, some company intentionally leave out of several parts and use an inaccurate expression in MSDS. In particular, with the result of the inspection of the government and labour community, it is required that the 2nd section in MSDS included the composition and information on ingredients has to be provided with comprehensive expression to secure more reliability. Methods: Therefore, this study is aimed: 1) to recognize the current status of trade secrets of MSDS in workplaces with both domestic manufacturers of chemical products and multinational corporations; 2) to make contributions to prevention of the industrial accidents by providing the accurate information of MSDS; 3) to improve the risk communication system related with chemicals; 4) to impress workers on the importance of right of known for MSDS. With the result we analyzed the status of trade secrets in MSDS in 73 companies, such as petrochemistry production, paint production, metal processing oil production, detergent production, and international company related with chemicals, we have found that 38,150 (45.5%) have the trade secrets parts in the total number of 83,832 in MSDS. Also, based on the 288 MSDS gathered by the Occupational Safety and Health Research Institute (OSHRI) from 2005 to 2009, 41.7% of the MSDS are classified into the trade secrets. Conclusions: Therefore, to procure an assurance system of MSDS, we suggest that a MSDS picking up and checking system be legislated in the Occupational Safety and Health Act to protect workers from the unidentified chemical hazards due to the secret trade of MSDS.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.9
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• pp.2032-2037
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• 2011

Marker genes are defined as genes in which the expression level characterizes a specific experimental condition. Such genes in which the expression levels differ significantly between different groups are highly informative relevant to the studied phenomenon. In this paper, first the system can detect marker genes that are selected by ranking genes according to statistics after normalizing data with methods that are the most widely used among several normalization methods proposed the while, And it compare and analyze a performance of each of normalization methods with mult-perceptron neural network layer. The Result that apply Multi-Layer perceptron algorithm at Microarray data set including eight of marker gene that are selected using ANOVA method after Lowess normalization represent the highest classification accuracy of 99.32% and the lowest prediction error estimate.