• Journal of the Korean Chemical Society
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• v.56 no.4
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• pp.500-508
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• 2012

The purpose of this study was to investigate the impact of multimodal representation-based lesson on embeddedness of multimodal representation in high school students' writing. The participants in this study were two groups of second-year science-track students (74 students) at an academic high school in a metropolitan city. One group (41 students) was assigned to the experimental group, the other group (33 students) was assigned to the comparative group. Data analysis showed that the students of the experimental group were better at utilizing and embedding multimodal representations. Thus, the conclusion was drawn that multimodal representation-based lesson had an effect on high school students' embeddedness of multimodal representation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.421-426
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• 2004

Increasing of the multinational corporation brought into the international multimodal Increasing of the multinational corporation brought into the international multimodal transport on the logistics environment. In case of Europe which have a great infrastructure, they are tried to develope a second of the silk road constantly. This paper emphasized the importance of international multimodal transport and proposed the model for northeast multimodal transport. For this research, we analyzed the multimodal transport system in Europe and north corridor of TAR. We are expecting economic effect of the route is including republic of korea and developed a model for connecting with sea, air and road. Actually, this research can not be enough data of numerical value for proving this effectiveness. but we developed and proposed a specific route of multimodal transport that was never suggested. Consequently, we established basic ground for comparing each transport route in the future research.

• PNF and Movement
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• v.20 no.2
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• pp.203-214
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• 2022

Purpose: We investigated the effects of multimodal vs. stabilization exercises on chronic low back pain. Methods: Study participants were randomly assigned to a multimodal exercise (n = 20) or a stabilization exercise group (n = 20). Participants in the multimodal exercise group performed stabilization, stretching, and endurance exercises, whereas those in the stabilization exercise group performed only stabilization exercises. Participants in both groups performed the exercises for 1 hour thrice a week for 5 weeks. The following outcomes were evaluated: pain intensity (numeric rating scale), disability (the Oswestry Disability Index [ODI] and the Roland-Morris Disability Questionnaire [RMDQ]), pain-induced fear (the Fear of Daily Activities Questionnaire [FDAQ], the Fear-Avoidance Belief Questionnaire [FABQ], and the Tampa scale for kinesiophobia-11 [TSK-11]). Outcome measures were evaluated at baseline and after intervention. Results: Significant post-intervention improvement was observed in pain intensity and the RMDQ and FDAQ scores in both groups (p < 0.01). The post-intervention ODI, FABQ, and TSK-11 scores were improved in the multimodal exercise group (p < 0.01). Additionally, significant differences were observed in pain intensity, as well as in the ODI, FDAQ, and FABQ scores in the multimodal exercise group compared with these findings in the stabilization exercise group (p < 0.01). Conclusion: The multimodal and stabilization exercise programs reduced pain intensity, disability, and pain-induced fear. Compared with stabilization exercises, multimodal exercises more effectively reduced pain intensity, disability, and pain-induced fear. This study highlights that musculoskeletal rehabilitation for people with chronic low back pain should include a multimodal exercise program.

• Journal of the Korean Chemical Society
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• v.61 no.4
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• pp.211-217
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• 2017

The purpose of this study was to examine UK students' use of multimodal representations in science. Students were asked to explain their understandings of the scientific concept and presentation of the multimodal representations in a science Assessing Pupils' Progress (APP) task. Participants of this study were fifty-four Year 7 students taught by the same teacher. Students from one class (27 students) were assigned to the experimental group, and then they received instruction encouraging the using of multimodal representations as evidences to support students' claims. One class (27 students) was assigned to the control group and they received instruction with traditional teaching methods. Both groups performed an APP task for assessment. The samples of APP assessments produced by students both from the experimental and control groups were analyzed using an analysis framework of multimodal representations, embeddedness in evidence and understanding of scientific concepts. Data analysis indicated that the students in the experimental group performed better than that of the control group on embeddedness of multimodal representations in the APP task. In addition, there was a significant difference between the two groups in the evaluation of understand of the scientific concepts.

• Journal of the Chungcheong Mathematical Society
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• v.34 no.1
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• pp.77-84
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• 2021

Let f : [0, 1] → [0, 1] be a multimodal map with positive topological entropy. The dynamics of the renormalization operator for multimodal maps have been investigated by Daniel Smania. It is proved that the measure of maximal entropy for a specific category of Cr interval maps is unique.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.4
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• pp.304-313
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• 2006

This paper describes a novel way of applying capacitive sensing technology to a mobile user interface. The key idea is to use grip-pattern, which is naturally produced when a user tries to use the mobile device, as a clue to determine an application to be launched. To this end, a capacitive touch sensing system is carefully designed and installed underneath the housing of the mobile device to capture the information of the user's grip-pattern. The captured data is then recognized by dedicated recognition algorithms. The feasibility of the proposed user interface system is thoroughly evaluated with various recognition tests.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.1-6
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• 2019

As the mobile market expands, a variety of platforms are available to provide multimodal media content. Multimodal media content contains heterogeneous data, accordingly, user requires much time and effort to select preferred content. Therefore, in this paper we propose multimodal media content classification using keyword weighting for recommendation. The proposed method extracts keyword that best represent contents through keyword weighting in text data of multimodal media contents. Based on the extracted data, genre class with subclass are generated and classify appropriate multimodal media contents. In addition, the user's preference evaluation is performed for personalized recommendation, and multimodal content is recommended based on the result of the user's content preference analysis. The performance evaluation verifies that it is superiority of recommendation results through the accuracy and satisfaction. The recommendation accuracy is 74.62% and the satisfaction rate is 69.1%, because it is recommended considering the user's favorite the keyword as well as the genre.

• Proceedings of the KSPS conference
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• 2002.11a
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• pp.111-114
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• 2002

Complementary use of several modalities in human-to-human communication ensures high accuracy, and only few communication problem occur. Therefore, multimodal interface is considered as the next generation interface between human and computer. This paper presents the current status and research themes of speech-based multimodal interface technology, It first introduces about the concept of multimodal interface. It surveys the recognition technologies of input modalities and synthesis technologies of output modalities. After that it surveys integration technology of modality. Finally, it presents research themes of speech-based multimodal interface technology.

• Journal of the Korean Society of Industry Convergence
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• v.9 no.4
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• pp.263-268
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• 2006

This paper presents a real-time verification system by extracting a features of multimodal biometrics using hybrid method, which is combined the moment balance and the independent component analysis(ICA). The moment balance is applied to reduce the computation loads by extracting the validity signal due to exclude the needless backgrounds of multimodal biometrics. ICA is also applied to increase the verification performance by removing the overlapping signals due to extract the statistically independent basis of signals. Multimodal biometrics are used both the faces and the fingerprints which are acquired by Web camera and acquisition device, respectively. The proposed system has been applied to the fusion problems of 48 faces and 48 fingerprints(24 persons * 2 scenes) of 320*240 pixels, respectively. The experimental results show that the proposed system has a superior verification performances(speed, rate).

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.170-178
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• 2017

Biometric recognition is one of the major challenging topics which needs high performance of recognition accuracy. Most of existing methods rely on a single source of biometric to achieve recognition. The recognition accuracy in biometrics is affected by the variability of effects, including illumination and appearance variations. In this paper, we propose a new multimodal biometrics recognition using convolutional neural network. We focus on multimodal biometrics from face and periocular regions. Through experiments, we have demonstrated that facial multimodal biometrics features deep learning framework is helpful for achieving high recognition performance.