• 지역과문화
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• v.7 no.4
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• pp.69-81
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• 2020

As internet companies advance into the film industry, China's IP movies have grown rapidly and brought huge business benefits to the movie market. This paper tried to diagnose the phenomenon of the Chinese IP film craze and derive its meaning and implications. To this end, we selected representative cases to examine the problems and the corresponding improvement measures. Among the three genres of novels, cartoons, and music that are currently drawing the most attention in IP film adaptation, the examples were "Wu Kong", "Take My Brother Away", "My Old Classmate". The research results show that there are problems such as the unification of Chinese IP films, the lack of screenplay ability, and the copyright. Some improvement measures such as establishing IP copyright trading platform, strengthening IP creation, and promoting the value chain of IP industry are put to solve these problems. We hope that China's IP film market create a value chain on the basis of this paper.

• Korean Circulation Journal
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• v.52 no.6
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• pp.414-428
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• 2022

Although tricuspid regurgitation (TR) is a general medical issue with growing prevalence and socioeconomic burden, most clinicians have not paid much attention to TR in the past. Several problems of TR have been pointed out in clinical practice, which include: ambiguous clinical manifestations and the difficulty in initial detection, limitations in generally used diagnostic tools, the absence of objective criterion for therapeutic intervention, high operative morbidity and mortality, and lack of long-term clinical data after the intervention for TR. Therefore, patients with TR usually visit clinicians at a much-advanced state, and this delay gives a major dilemma in clinical decision-making in a routine clinical practice. To improve the clinical outcome of TR, we need more knowledge about TR for solving the current problems and making strategies for better clinical practice. With this background, we have discussed in the present article about the pathophysiology of TR and the problems frequently experienced by clinical physicians in the diagnosis and treatment of TR. Furthermore, we have discussed the future strategy to improve the treatment of TR.

• Journal of Music and Human Behavior
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• v.3 no.2
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• pp.1-14
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• 2006

The purpose of this study is to examine the effect of violin learning as to enhance the attention span and impulsiveness of children with Attention Deficit Hyperactivity Disorder(ADHD). Three children with ADHD, grade 2, 3, 4 were selected to participate in the research. A total of 15 session were given during 8 week time span, including a final performance session. For measurement, Korean-Child Behavior Checklist(K-CBCL), Home Situation Questionnaire-Revised (HSQ-R), Conners Teacher Rating Scale-Revised (CTRS-R) were administered before and after the implementation. Other behavioral checklist were used to record inappropriate or interruptive behaviors. The results showed that violin learning has increased attention span and reduced impulsive behaviors of all three children with ADHD. Along with these changes, the identified inappropriate behaviors reduced as sessions progressed. Also the changes observed within the music environment were generalized to non-music environment, such as family and school. These results also indicate that violin can be a therapeutic medium used in music therapy setting to bring positive changes for children with ADHD problems.

• Science of Emotion and Sensibility
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• v.21 no.2
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• pp.145-158
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• 2018

The purpose of this study was to investigate the visuo-spatial attention ability and the emotional perception ability of people across the normal range of the scores on the bipolar disorder scale. The Korean version of the Mood Disorder Questionnaire (K-MDQ) was used to measure the bipolar disorder tendency of normal people. A useful field of view (UFOV) task and an emotional perception task were used to measure visuo-spatial attention and emotional perception ability, respectively. The participants did not have any mental illness history or other medical problems. The participants were divided into three groups according to K-MDQ score (low, normal, and high), and their performances were compared. In the UFOV task, the high K-MDQ score group had lower level of performance than the other groups, suggesting that a high bipolar tendency is associated with reduction of visuo-spatial attention ability. In the emotional perception task, the group with the high K-MDQ score showed higher perception of negative emotion bias than the other groups, suggesting a high bipolar tendency to associate with reduction of emotional perception ability. These results suggest that visuo-spatial and emotional attention abilities are related with bipolar disorder tendency even in the normal population.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.4 no.1
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• pp.106-113
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• 1993

Using a reliable assessment procedure and according to the severity of hyperactivity, thirty-six clinic-referred outpatients, 6-12 years of age, were given a diagnosis of Attention Deficit Disorder with Hyperactivity(ADD+H) or without Hyperactivity(ADD-H). Comparisons of behavioral measurement by Conners Rating Scale(CRS) and Home/School Situations Questionnaire(HSQ/SSQ) revealed that the children with ADD+H displayed more pervasive behavior problems at home and school than the children with ADD-H. Also the children with ADD+H were more likely to be delinquent and aggressive compared to the children with ADD-H when using the Child Behavior Check-list(CBCL) for parents Hyperactivity symptom in ADHD is highly correlated with aggression scale on CBCL These finding suggest that ADD+H and ADD-H may differ in clinical disease entity.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6171-6176
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• 2014

Background: In order to design effective educational intervention for cancer survivors, it is necessary to identify most-trusted sources for health-related information and the amount of attention paid to each source. Objective: The objective of our study was to explore the sources of health information used by cancer survivors according to their access to the internet and levels of trust in and attention to those information sources. Materials and Methods: We analyzed sources of health information among cancer survivors using selected questions adapted from the 2012 Health Information National Trends Survey (HINTS). Results: Of 357 participants, 239 (67%) had internet access (online survivors) while 118 (33%) did not (offline survivors). Online survivors were younger (p<0.001), more educated (p<0.001), more non-Hispanic whites (p<0.001), had higher income (p<0.001), had more populated households (p<0.001) and better quality of life (p<0.001) compared to offline survivors. Prevalence of some disabilities was higher among offline survivors including serious difficulties with walking or climbing stairs (p<0.001), being blind or having severe visual impairment (p=0.001), problems with making decisions (p<0.001), doing errands alone (p=0.001) and dressing or bathing (p=0.001). After adjusting for socio-demographic status, cancer survivors who were non-Hispanic whites (OR= 3.49, p<0.01), younger (OR=4.10, p<0.01), more educated (OR= 2.29, p=0.02), with greater income (OR=4.43, p<0.01), and with very good to excellent quality of life (OR=2.60, p=0.01) had higher probability of having access to the internet, while those living in Midwest were less likely to have access (OR= 0.177, p<0.01). Doctors (95.5%) were the most and radio (27.8%) was the least trusted health related information source among all cancer survivors. Online survivors trusted internet much more compared to those without access (p<0.001) while offline cancer survivors trusted health-related information from religious groups and radio more than those with internet access (p<0.001 and p=0.008). Cancer survivors paid the most attention to health information on newsletters (63.8%) and internet (60.2%) and the least to radio (19.6%). More online survivors paid attention to internet than those without access (68.5% vs 39.1%, p<0.001) while more offline survivors paid attention to radio compared to those with access (26.8% vs 16.5%, p=0.03). Conclusions: Our findings emphasize the importance of improving the access and empowering the different sources of information. Considering that the internet and web technologies are continuing to develop, more attention should be paid to improve access to the internet, provide guidance and maintain the quality of accredited health information websites. Those without internet access should continue to receive health-related information via their most trusted sources.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.4
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• pp.90-101
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• 2012

The landmark selection is crucial to successful perform in SLAM(Simultaneous Localization and Mapping) with a mono camera. Especially, in unknown environment, automatic landmark selection is needed since there is no advance information about landmark. In this paper, proposed visual attention system which modeled human's vision system will be used in order to select landmark automatically. The edge feature is one of the most important element for attention in previous visual attention system. However, when the edge feature is used in complicated indoor area, the response of complicated area disappears, and between flat surfaces are getting higher. Also, computation cost increases occurs due to the growth of the dimensionality since it uses the responses for 4 directions. This paper suggests to use a corner feature in order to solve or prevent the problems mentioned above. Using a corner feature can also increase the accuracy of data association by concentrating on area which is more complicated and informative in indoor environments. Finally, this paper will prove that visual attention system based on corner feature can be more effective in SLAM compared to previous method by experiment.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.45-51
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• 2021

With the development of deep learning, semantic segmentation methods are being studied in various fields. There is a problem that segmenation accuracy drops in fields that require accuracy such as medical image analysis. In this paper, we improved PSPNet, which is a deep learning based segmentation method to minimized the loss of features during semantic segmentation. Conventional deep learning based segmentation methods result in lower resolution and loss of object features during feature extraction and compression. Due to these losses, the edge and the internal information of the object are lost, and there is a problem that the accuracy at the time of object segmentation is lowered. To solve these problems, we improved PSPNet, which is a semantic segmentation model. The multi-scale attention proposed to the conventional PSPNet was added to prevent feature loss of objects. The feature purification process was performed by applying the attention method to the conventional PPM module. By suppressing unnecessary feature information, eadg and texture information was improved. The proposed method trained on the Cityscapes dataset and use the segmentation index MIoU for quantitative evaluation. As a result of the experiment, the segmentation accuracy was improved by about 1.5% compared to the conventional PSPNet.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1161-1167
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• 2018

The development of machine learning has enabled machines to perform delicate tasks that only humans could do, and thus many companies have introduced machine learning based translators. Existing translators have good performances but they have problems in number translation. The translators often mistranslate numbers when the input sentence includes a large number. Furthermore, the output sentence structure completely changes even if only one number in the input sentence changes. In this paper, first, we optimized a neural machine translation model architecture that uses bidirectional RNN, LSTM, and the attention mechanism through data cleansing and changing the dictionary size. Then, we implemented a number-processing algorithm specialized in number translation and applied it to the neural machine translation model to solve the problems above. The paper includes the data cleansing method, an optimal dictionary size and the number-processing algorithm, as well as experiment results for translation performance based on the BLEU score.

• Proceedings of the Materials Research Society of Korea Conference
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• 2009.11a
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• pp.5.2-5.2
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• 2009

From 10 years ago, the development of nano-devices endeavored to achieve reconstruction of information technology (IT) and nano technology (NT) industry. Among the many materials for the IT and NT industry, zinc oxide (ZnO) is a very promising candidate material for the research of nano-device development. Nano-structures of ZnO-based materials were grown easily via various methods and it attracts huge attention because of their superior electrical and optical properties for optoelectronic devices. Recently, among the various growth methods, MOCVD has attracted considerable attention because it is suitable process with benefits such as large area growth, vertical alignment, and accurate doping for nano-device fabrication. However, ZnO based nanowires grown by MOCVD process were had the principal problems of 1st interfacial layers between substrate and nanowire, 2nd a broad diameter (about 100 nm), and 3rd high density, and 4th critical evaporation temperature of Zinc precursors. In particular, the growth of high performance nanowire for high efficiency nano-devices must be formed at high temperature growth, but zinc precursors were evaporated at high temperature.These problems should be repaired for materialization of ultra high performance quantum devices with quantum effect. For this reason, we firstly proposed the growth method of vertical aligned slim MgZnO nanowires (< 10 nm) without interfacial layers using self-phase separation by introduced Mg at critical evaporation temperature of Zinc precursors ($500^{\circ}C$). Here, the self-phase separation was reported that MgO-rich and the ZnO-rich phases were spontaneously formed by additionally introduced Mg precursors. In the growth of nanowires, the nanowires were only grown on the wurzite single crystal seeds as ZnO-rich phases with relatively low Mg composition (~36 at %). In this study, we investigated the microstructural behaviors of self-phase separation with increasing the Mg fluxes in the growth of MZO NWs, in order to secure drastic control engineering of density,diameter, and shape of nanowires.