• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.2231-2238
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• 2014

This study investigated how self-rated health and socioeconomic status are associated with behaviour of cancer survivors regarding desire for information. For this association, we compared survivors who did not seek information about cancer with those who did. We examined how sociodemographic, socioeconomic, cancerrelated, and health information factors are associated with self-rated health (SRH) by health information seeking/avoiding behavior in a survey of 502 post-treatment cancer patients. In the information seeking group, all four factors exhibited significant relationships with SRH. SRH values were significantly high for women (p<0.05), non-Hispanic White (p<0.05), and educated (p<0.01) participants, and for those who had high self-efficacy to use health information by themselves (p<0.01). Furthermore, in the information avoiding group, not only were there no significant relationships between socioeconomic status (SES) and SRH, but there were negative associations between their attitude/capacity and the SRH. In terms of communication equity, the promotion of information seeking behavior can be an effective way to reduce health disparities that are caused by social inequalities. Information avoiding behavior, however, does not exhibit a negative contribution toward the relationship between SRH and SES. Information seeking behavior was positively associated with SRH, but avoiding behavior was not negatively associated. We thus need to eliminate communication inequalities using health intervention to support information seeking behavior, while simultaneously providing support for avoiders.

• Human Ecology Research
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• v.56 no.6
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• pp.493-506
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• 2018

This study analyzes factors that determine the usage of digital information by senior consumers in the mobile environment. Senior consumers are alienated from digital information in South Korea; therefore, there have been increasing attempts to resolve this digital divide and reduce the digital information usage gap between young adults and senior consumers. The study used panel data from the National Information Society Agency (2017); there were 1,463 participants, aged 50-79 years. SPSS 19.0 was used to conduct the statistical analyses for frequency, factor analysis, Cronbach' ${\alpha}$ analysis, descriptive analysis and hierarchical multiple-regression analysis. The results are as follows. First, negative attitude toward information society negatively influenced the mobile digital information usage in diversity context. Second, average monthly income, degree of digital device usage motivation, positive attitude toward digital device usage, digital literacy of PC & Mobile, and family support positively influenced the mobile digital information usage in diversity context. Third, negative attitudes toward information society negatively influenced the mobile digital information usage in quality context. Forth, average monthly income, degree of digital device usage motivation, positive attitude toward digital device usage, digital literacy of PC & mobile, and family support positively influenced the mobile digital information usage in quality context. The study results can help further understand mobile usage behaviors among senior citizens and the implications on their quality of life in the digital information era.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.9
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• pp.1315-1322
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• 2015

This paper proposes an active islanding detection method for the BESS (Battery Energy Storage System) with 3-phase inverter which is connected to the AC grid. The proposed method adopts the DDSRF (Decoupled Double Synchronous Reference Frame) PLL (Phase Locked-Loop) so that the independent control of positive-sequence and negative-sequence current is successfully carried out using the detected phase angle information. The islanding state can be detected by sensing the variation of negative-sequence voltage at the PCC (Point of Common Connection) due to the injection of 2-3% negative-sequence current from the BESS. The proposed method provides a secure and rapid detection under the variation of negative-sequence voltage due to the sag and swell. The feasibility of proposed method was verified by computer simulations with PSCAD/EMTDC and experimental analyses with 5kW hardware prototype for the benchmark circuit of islanding detection suggested by IEEE 1547 and UL1741. The proposed method would be applicable for the secure detection of islanding state in the grid-tied Microgrid.

• The Korean Journal of Community Living Science
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• v.22 no.2
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• pp.247-255
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• 2011

This study analyzed the demand for a community-based tourism site using a poisson model, a negative binominal model, a truncated poisson model and a truncated negative binominal model as count data models. For these reasons, questionnaire surveys were conducted into 5 community-based tourism sites in Chuncheon city with 406 tourists, and was analyzed using the STATA program. The fitness levels of four models were significant(p=0.0000) using a likelihood ratio test. The study results suggest that the demand of community-based tourism sites for visiting tourists was influenced by a pre-visiting experience, recognition of sustainable tourism, visitation of downtown, purchase of souvenir or farm produce, conversation with regional residents, regional harmony, preservation of natural resources and sex within the poisson and truncated poisson models. However, the variables of visitation of downtown, preservation of natural resources and sex were not significant within the negative binominal model and the visitation of downtown and preservation of natural resources were not significant within the truncated negative binominal model. The results of the visiting demand of community-based tourism sites can provide information for sustainable regional development strategies.

• Journal of Information Technology Applications and Management
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• v.29 no.1
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• pp.71-82
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• 2022

Mukbang, which has established itself as a popular content, is now enjoying a sensational popularity not only in Korea but also around the world. This study investigated the effects of mukbang on consumers' vicarious satisfaction and desire increase in different emotional aspects. In addition, we analyzed how the positive and negative emotions of consumers affect the vicarious satisfaction and desire increase of mukbang. According to this purpose, 120 participants in their 20s and 30s who had experienced watching mukbang were encouraged to watch mukbang videos after inducing positive, negative, and neutral emotions, and the effects of vicarious satisfaction and increased desire depending on emotions were examined. As a result of the experiment, it was confirmed that vicarious satisfaction through mukbang was high in positive emotional states, and desire through mukbang was high in negative emotional states. This study has a theoretical contribution that empirically investigates the different effects of mukbang according to positive and negative emotions, and is expected to help derive marketing measures using consumer emotional states that have not been received enough attention in using mukbang as a marketing tool.

• The Journal of the Acoustical Society of Korea
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• v.29 no.2
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• pp.102-110
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• 2010

Music transcription is extracting pitch (the height of a musical note) and rhythm (the length of a musical note) information from audio file and making a music score. In this paper, we decomposed a waveform into frequency and rhythm components using Non-Negative Matrix Factorization (NMF) and Non-Negative Sparse coding (NNSC) which are often used for source separation and data clustering. And using the subharmonic summation method, fundamental frequency is calculated from the decomposed frequency components. Therefore, the accurate pitch of each score can be estimated. The proposed method successfully performed music transcription with its results superior to those of the conventional methods which used either NMF or NNSC.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.9
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• pp.190-199
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• 2014

In this paper, the vestibular hair bundle feature model and integrated vestibular hair cell model were proposed. In conventional modeling studies of vestibular system, only partial mechanisms were modeled, such as the characteristics of the vestibular hair bundles without external forces or the action potential of synapse, and the study about action potential of vestibular afferent considering the characteristics of the vestibular hair bundle was not performed. The proposed integrated vestibular hair cell model reflects external forces considering negative stiffness features of each hair bundles with different regularities of hair cells and our model was compared with conventional model without external forces. As a result, irregular afferent and intermediate afferent with high ratio of firing frequency variations to the changes of external stimulation had small width of negative stiffness section, but the width of the negative stiffness of regular afferent with low ratio was similar to that of conventional negative stiffness features. And the proposed integrated vestibular hair cell model showed almost same results with conventional data with animal experiments in 11 chosen frequency bands. It is verified that our proposed hair bundle feature model is adequately modeled.

• Culinary science and hospitality research
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• v.15 no.2
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• pp.136-149
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• 2009

The purpose of this paper is to explore the types of failed service and its effect on customer's negative emotions in the restaurant business and their influence on customer's behavior. The study examines the restaurant attributes of failed service in order to determine which variables have the greatest impact on customer's negative emotions and behaviors. To accomplish the purpose of this study, a casual model is developed - which analyzes the main antecedents, moderators and consequences of failed service in the restaurant business. The findings of this study are as follows. 4 types of failed services are found: lack of tangibles, doubt of reliability, unresponsiveness, no expressed empathy. They have an effect on customer's negative emotions(regret and disappointment). And the customer's negative emotions brings out negative behaviors(bad actions, switching brand, protest, negative word of mouth). Customer's regret causes bad actions and switching brand, and customer's disappointment caused switching brand and bad information by word of mouth.

• Geophysics and Geophysical Exploration
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• v.24 no.4
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• pp.139-148
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• 2021

Negative apparent chargeability data in time-domain induced polarization (IP) survey are very often considered as noise and rejected before the inversion stage. Negative IP data can, however, occur naturally as a consequence of the distribution of chargeable zones in the ground. In some cases, the negative apparent chargeability values may account for most of the data measured. Negative IP data are caused by the geometry of chargeable zones and electrode positions. Negative apparent chargeability data appear most frequently when a dipole-dipole array is used. In this study, the effect of negative apparent chargeability data on inversion results is analyzed through the numerical 2D time-domain IP modeling and nonlinear inversion. The results demonstrate clearly that negative apparent chargeability data have to be included in the inversion as they contain important information on the distribution of subsurface chargeability.

• Journal of information and communication convergence engineering
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• v.5 no.3
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• pp.233-238
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• 2007

An approach to identify Chinese event types is proposed in this paper which combines a good feature selection policy and a Maximum Entropy (ME) model. The approach not only effectively alleviates the problem that classifier performs poorly on the small and difficult types, but improve overall performance. Experiments on the ACE2005 corpus show that performance is satisfying with the 83.5% macro - average F measure. The main characters and ideas of the approach are: (1) Optimal feature set is built for each type according to local feature selection, which fully ensures the performance of each type. (2) Positive and negative features are explicitly discriminated and combined by using one - sided metrics, which makes use of both features' advantages. (3) Wrapper methods are used to search new features and evaluate the various feature subsets to obtain the optimal feature subset.