• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.78-86
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• 1993

• Communications of the Korean Mathematical Society
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• v.38 no.1
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• pp.179-193
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• 2023

In this article, we derived Chen's inequality for warped product bi-slant submanifolds in generalized complex space forms using semisymmetric metric connections and discuss the equality case of the inequality. Further, we discuss non-existence of such minimal immersion. We also provide various applications of the obtained inequalities.

• Proceedings of the KSMRM Conference
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• 2001.11a
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• pp.151-151
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• 2001

Purpose： 3.0 Tesla whole-body resonator provides a potential to have significant increase in imag quality and resolution in high resolution application such as cardiac, spine and extremit imaging. The aim of this study is to design an optimized 3.0T whole-body coil to produce high sensitivity and quality using slotted tube resonator.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.505-508
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• 2011

본 논문에서는 MPEG-7 비주얼 디스크립터를 기반으로 Digital Image의 효과적인 검색이 가능한 시스템의 개발하였다. MPEG-7에 포함되어 있는 비주얼 디스크립터 툴은 컬러, 텍스처, shape, motion, localization, 얼굴 인식 등을 포함한다. 이들 MPEG-7에서 제공하는 비주얼 디스크립터를 그대로 이용하여 Digital Image의 검색 시스템을 구현하기에는 시스템이 불필요하게 커질 수 있으며 Digital Image의 검색 성능이 그다지 높지 않다는 문제점이 발생한다. 구체적으로는 모든 디스크립터를 이용하여 데이터베이스에 존재하는 모든 Digital Imag에 대한 검색을 수행하기에는 많은 처리시간이 요구된다는 것과 어떠한 디스크립터를 이용해야 정확한 검색이 이루어질지 알 수 없기 때문이다. 이를 위해 본 논문에서는, MPEG-7 비주얼 디스크립터의 특성을 저작권위원회에서 제공받은 데이터베이스를 이용하여 분석하고 이들 디스크립터의 효과적인 결합 기술을 개발하였다. 기존의 디스크립터 결합 방식은 각각의 디스크립터에 동일한 가중치를 부여하고 검색을 수행하는 방식이었으나 본 논문에서는 정보이론을 기반으로 디스크립터의 가중치를 자동으로 부여하는 방식으로 검색 시스템을 구성하였다. 개발된 시스템은 기존의 동일한 가중치를 부여한 시스템에 비해서 데이터베이스에 대한 각 디스크립터의 특성을 반영하여 가중치를 결정하도록 구성하였다.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.59-64
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• 2001

The objectives of the thesis are to propose a pattern classification method for remote sensing data using artificial neural network. First, we apply the error back propagation algorithm to classify the remote sensing data. In this case, the classification performance depends on a training data set. Using the training data set and the error back propagation algorithm, a layered neural network is trained such that the training pattern are classified with a specified accuracy. After training the neural network, some pixels are deleted from the original training data set if they are incorrectly classified and a new training data set is built up. Once training is complete, a testing data set is classified by using the trained neural network. The classification results of Landsat TM data show that this approach produces excellent results which are more realistic and noiseless compared with a conventional Bayesian method.

• Journal of the Korean Society of Costume
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• v.58 no.6
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• pp.42-53
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• 2008

This study is about the development of Fashion Design using of Korean Motive applied Digital Medium. With rapid change during the 21st century, digital media has emerged as the most important communication tool to facilitate speedy and interactive conversation. The recent emergence of 'Mass Customization' is a good reflection of digital transition's interactive features, realizing product variation and customization through flexibility and immediate responsiveness. In this so-called digital era, fashion is a tool that facilitates the use of digital media, while acting as the object, or the purpose, where digital media can be applied. This study looked at the development situations and future utilization method regarding digital fashion, which was recreated through digital media. In this study, a new design process was developed through digital media and actually manufactured Korean image clothing to reflect the motif of plant found in Korean folk paintings. Three-Dimensional(3D) digital shape was dressed in virtual clothing for comparison, thereby adding some features of textile design to three-Dimensional(3D) shape. Through the process, the study can provide various potential accesses to future development of fashion design utilizing digital media.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.1
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• pp.173-178
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• 2014

In this study, the new color image processing algorithms with an android-based mobile device are developed to detect the abnormal color densities in a skin image and interpret them as the vitiligo lesions. Our proposed method is firstly based on transforming RGB data into HSI domain and segmenting the imag into the vitiligo-skin candidates by applying Otsu's threshold algorithm. The structure elements for morphological image processing are suggested to delete the spurious regions in vitiligo regions and the image blob labeling algorithm is applied to compare RGB color densities of the abnormal skin region with them of a region of interest. Our suggested color image processing algorithms are implemented with an android-platform smartphone and thus a mobile device can be utilized to diagnose or monitor the patient's skin conditions under the environments of pervasive healthcare services.

• Journal of the Korea Society of Computer and Information
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• v.28 no.9
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• pp.93-104
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• 2023

In modern society, the service method is tended to prefer the non-face-to-face method rather than the face-to-face method. However, services that recommend products such as shoes will inevitably be face-to-face method. In this paper, for the purpose of non-face-to-face service, a system that a foot size is automatically measured and some shoes are recommended based on the measurement result is proposed. To analyze the performance of the proposed method, size measurement error rate and recommendation performance were analyzed. In the recommendation performance experiments, a total of 10 methods for similarity calculation were used and the recommendation method with the best performance among them was applied to the system. From the experiments, the error rate the foot size was small and the recommendation performance was possible to derive significant results. The proposed method is at the laboratory level and needs to be expanded and applied to the real environment. Also, the recommendation method considering design could be needed in the future work.

• 한국노년학
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• v.40 no.2
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• pp.325-340
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• 2020

Early diagnosis and intervention of dementia is critical to minimize future risk and cost for patients and their families. The purpose of this study was to develop and validate Figure-Copy Test(FCT), as a new dementia screening test, that can measure neurological damage and cognitive impairment, and then to examine whether the grading precesses for screening can be automated through machine learning procedure by using FCT imag es. For this end, FCT, Korean version of MMSE for Dementia Screening (MMSE-DS) and Clock Drawing Test were administrated to a total of 270 participants from normal and damaged elderly groups. Results demonstrated that FCT scores showed high internal constancy and significant correlation coefficients with the other two test scores. Discriminant analyses showed that the accuracy of classification for the normal and damag ed g roups using FCT were 90.8% and 77.1%, respectively, and these were relatively higher than the other two tests. Importantly, we identified that the participants whose MMSE-DS scores were higher than the cutoff but showed lower scores in FCT were successfully screened out through clinical diagnosis. Finally, machine learning using the FCT image data showed an accuracy of 73.70%. In conclusion, our results suggest that FCT, a newly developed drawing test, can be easily implemented for efficient dementia screening.

• Proceedings of the KSMRM Conference
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• 2001.11a
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• pp.137-137
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• 2001

Purpose： The purpose of this study was to identify cerebral cortices related with sexual arousal fro visual sexual stimulation in healthy males using BOLD-based functional MR imaging Method： Sixteen male volunteers with sexually potent(mean age：24) were examined for thi study. Functional MRI was performed on a 1.5T MR scanner(GE Signa Horizon) with birdcage-type head coil. In this study, blood oxygenation level dependent(BOLD) technique was utilized to create fMR image reflecting local brain activities. The BOLD-based fMRI d were obtained from 7 oblique planes using gradient-echo EPI with $90^{\circ}$flip angle, 50ms TE 6000ms TR, $26cm{\times}26$ cm FOV, $128{\times}128$ matrix, and 10mm slice thickness. The sexual stimulation paradigm consisted of two alternating periods of rest and activati and it began with a 1 minute rest, followed by a 2 minute stimulation by a documentary a erotic video film. Brain activation maps were generated by cross-correlation of imag acquired during rest and activation periods. The index of activation was used to compare t number of pixels activated by each task in each volunteer, where the significance of th differences was evaluated by using Students t-test.