• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.8
• /
• pp.2103-2118
• /
• 2024

Chinese herbal slices (CHS) automated recognition based on computer vision plays a critical role in the practical application of intelligent Chinese medicine. Due to the complexity and similarity of herbal images, identifying Chinese herbal slices is still a challenging task. Especially, easily-confused CHS have higher inter-class and intra-class complexity and similarity issues, the existing deep learning models are less adaptable to identify them efficiently. To comprehensively address these problems, a novel tiny easily-confused CHS dataset has been built firstly, which includes six pairs of twelve categories with about 2395 samples. Furthermore, we propose a ResNeSt-CHS model that combines multilevel perception fusion (MPF) and perceptive sparse fusion (PSF) blocks for efficiently recognizing easilyconfused CHS images. To verify the superiority of the ResNeSt-CHS and the effectiveness of our dataset, experiments have been employed, validating that the ResNeSt-CHS is optimal for easily-confused CHS recognition, with 2.1% improvement of the original ResNeSt model. Additionally, the results indicate that ResNeSt-CHS is applied on a relatively small-scale dataset yet high accuracy. This model has obtained state-of-the-art easily-confused CHS classification performance, with accuracy of 90.8%, far beyond other models (EfficientNet, Transformer, and ResNeSt, etc) in terms of evaluation criteria.

• The Journal of the Convergence on Culture Technology
• /
• v.6 no.3
• /
• pp.19-26
• /
• 2020

The purpose of this study is to understand the history of nursing and present a new direction of nursing by elucidating the role of nurses in the process of social meaning and change of infectious diseases in modern (1876-1945) Korean society. In the past history, epidemics have caused many problems in society and have tried their best to manage them. The role and presence of the nurse began to emerge during the past time. The concept of hygiene began to be recognized for the management of epidemics, and the role and presence of nurses began to emerge at the center. It was recognized that the role of nurses in modern Korean society was an auxiliary role in the early stages. However, through specialized education and training, recognition as an expert began to spread based on specialized knowledge rather than simple care. In this study, it is significant that we have historically searched for infectious diseases causing various problems while coexisting past and present. In addition, it is significant that the new role and sense of mission of the nurses were newly illuminated.

• Journal of Music and Human Behavior
• /
• v.19 no.1
• /
• pp.1-20
• /
• 2022

The purpose of this study was to evaluate how accurately children with autism spectrum disorder (ASD; n = 9) recognized four basic emotions (i.e., happiness, sadness, anger, and fear) following musical or visual cues. Their performance was compared to that of typically developing children (TD; n = 14). All of the participants were between the ages of 7 and 13 years. Four musical cues and four visual cues for each emotion were presented to evaluate the participants' ability to recognize the four basic emotions. The results indicated that there were significant differences between the two groups between the musical and visual cues. In particular, the ASD group demonstrated significantly less accurate recognition of the four emotions compared to the TD group. However, the emotion recognition of both groups was more accurate following the musical cues compared to the visual cues. Finally, for both groups, their greatest recognition accuracy was for happiness following the musical cues. In terms of the visual cues, the ASD group exhibited the greatest recognition accuracy for anger. This initial study support that musical cues can facilitate emotion recognition in children with ASD. Further research is needed to improve our understanding of the mechanisms involved in emotion recognition and the role of sensory cues play in emotion recognition for children with ASD.

• Health Policy and Management
• /
• v.19 no.1
• /
• pp.62-80
• /
• 2009

The purpose of this study was to examine the factors influencing the attitude toward the increasing role of private health insurance(PHI). In the Korea Welfare Panel Data 2007, a sample of 1,675 (adjusted by weight value: 1,607) respondents on an opinion on promoting PHI was used in the study. With independent variables including socio-demographic characteristics, health status, health-related behavior, and opinions on welfare service, ordered-probit model was used to analyze the attitude toward PHI. Negative opinion on the increasing role of PHI were responded by 54.6%(n=877) of the respondents, whereas 22.2%(n=373) were positive and 23.2%(n=357) were neutral. Old people, the better off, those with worse self-assessed health status, and those having an experience of health examination tend to have the positive attitude toward the increasing role of PHI. Women, those with chronic diseases or disorders and those who do not agree that comprehensive welfare benefits reduce work incentive showed negative attitude toward PHI. When comparing the needs for PHI before and after medical utilization, ex-ante need tends to strengthen the tendency to support private health insurance. This study will contribute to the discussion on the optimal mix of public and private health insurance in Korea by a better recognition of attitude toward PHI and health care system.

• Journal of Educational Research in Mathematics
• /
• v.12 no.4
• /
• pp.473-491
• /
• 2002

This article analyzes mathematics education from dialectical materialism acknowledging the objectivity of knowledge. The thesis that knowledge is objective advances to the recognition that knowledge will be internalized, and an idea of zone of proximal development(ZPD) is established as a practice program of internalization. The lower side of ZPD, i.e. the early stage of internalization takes imitation in a large portion. And in the process of internalization the mediational means play an important role. Hereupon the role of mathematics teacher, the object of imitation, stands out significantly. In this article, treating the contents of study as follows, I make manifest that teaching and learning in mathematics classroom are united dialectically: I hope to findout the method of teaching-learning to mathematical knowledge from the point of view that mathematical knowledge is objective; I look into how analysis into units, as the analytical method of Vygotsky, has been developed from the side of mathematical teaching-learning; I discuss the significance of mediational means to play a key role in attaining the internalization in connection with ZPD and re-illuminate imitation. Based on them, I propose how the role of mathematics teachers, and the principle of organization to mathematics textbook should be.

• The Korean Journal of Health Service Management
• /
• v.6 no.4
• /
• pp.255-265
• /
• 2012

The purpose of this study was to analyze the service needs and role awareness of military hospital coordinator to provide basic data for establishing the role of military hospital coordinator and facilitating efficient, systematic work performance. Questionnaires were used to survey military hospital out patients for 25 days from July 13 to August 11. 2011. The subjects were 616 outpatients. Research results, the recognition of higher awareness of the military hospital coordinator to perform the work to know if the work performed was low awareness of the present in the generally. High service needs was generally presented among outpatients that perceived the work performed by the military hospital coordinator, and most of the work preformed in the service needs was higher, showed a high needs. The results of this study showed that military hospital outpatients presented low role awareness but high level of service needs for military hospital coordinator. Establish roles of military hospital coordinator and provide for systematic performance if so can military hospital will contribute to improving service satisfaction.

• Knowledge Management Research
• /
• v.20 no.1
• /
• pp.133-153
• /
• 2019

Due to the uncertainty of dynamic business environment, modern organizations have been giving attention to dynamic capabilities beyond traditional notion of core competence. Among them, absorptive capacity and boundary-spanning activity are considered the most important. The former refers to activities regarding acquisition, assimilation, transformation and exploitation of internal and external knowledge. The latter is composed of boundary-loosening and boundary-tightening activities to detect internal or external information and then to preserve, protect, or acquire resources. Thus, both have achieved wide recognition as a potential source of change and innovation. This study investigated the cross-level relation between boundary-spanning leadership at team level and absorptive capacity at individual level. We also explored self-efficacy and extra-role behavior that can affect employees' absorptive capacity. To test multi-level analysis, the survey data were collected from 862 members in 137 teams of different firms. Results revealed that boundary-spanning leadership had the positive cross-level impact on absorptive capacity in the team context. Moreover, absorptive capacity was positively associated with self-efficacy and extra-role behavior at individual level. Based on these findings, we provided theoretical and practical implications to address rapidly changing environments and discussed limitations of this paper for further research.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.4 no.2
• /
• pp.87-95
• /
• 2003

Dynamic Programming Matching (DPM) is a mathematical optimization technique for sequentially structured problems, which has, over the years, played a major role in providing primary algorithms in pattern recognition fields. Most practical applications of this method in signature verification have been based on the practical implementational version proposed by Sakoe and Chiba [9], and il usually applied as a case of slope constraint p = 0. We found, in this case, a modified version of DPM by applying a heuristic (forward seeking) implementation is more efficient, offering significantly reduced processing complexity as well as slightly improved verification performance.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
• /
• 2006.06a
• /
• pp.133-137
• /
• 2006

In iris recognition, iris segmentation plays a very important role because its accuracy affects directly to the performance of the whole system. This paper proposes a new approach for segmenting iris that is fast, accurate and especially robust to occlusion and illumination. In this method, a circular filter is used for detecting the center of the inner circle. Then, a technique to linearize the limbus is applied and the limbus is detected using a linear filter. Experimental results show that the proposed method has promising performance for improving the iris recognition accuracy.

• ETRI Journal
• /
• v.32 no.5
• /
• pp.810-818
• /
• 2010

This paper presents a new framework for integrating untranscribed spoken content into the acoustic training of an automatic speech recognition system. Untranscribed spoken content plays a very important role for under-resourced languages because the production of manually transcribed speech databases still represents a very expensive and time-consuming task. We proposed two new methods as part of the training framework. The first method focuses on combining initial acoustic models using a data-driven metric. The second method proposes an improved acoustic training procedure based on unsupervised transcriptions, in which word endings were modified by broad phonetic classes. The training framework was applied to baseline acoustic models using untranscribed spoken content from parliamentary debates. We include three types of acoustic models in the evaluation: baseline, reference content, and framework content models. The best overall result of 18.02% word error rate was achieved with the third type. This result demonstrates statistically significant improvement over the baseline and reference acoustic models.