• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.8
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• pp.22-38
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• 1997

This paper proposes a new VLSI architecture for morphological filters and presents its chip design and implementation. The proposed architecture can significantly reduce hardware costs compared with existing architecture by using a feedback loop path to reuse partial results and a decoder/encoder pair to detect maximum/minimum values. In addition, the proposed architecture requires one common architecture for both diltion and erosion and fewer number of operations. Moreover, it can be easily extended for larger size morphologica operations. We developed VHDL (VHSIC hardware description language) models, performed logic synthesis using the SYNOPSYS CAD tool. We used the SOG (sea-of-gate) cell library and implemented the actual chip. The total number of gates is only 2,667 and the clock frequency is 30 MHz that meets real-time image processing requirements.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2011.04a
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• pp.144-151
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• 2011

Recent years have witnessed speed up of moving vehicles such as high-speed of trains. Increase in speed entails concomitant increase in turbulent air flow which contributes toward aerodynamic noise. The proposed method for aerodynamic noise reduction is based on a biomimetic design of owl feather. The five morphological parameters of the owl feather is extracted from close observation, and simulation cases are constructed by applying design of experiments methodology. Swirling strength for each case is obtained through steady-state CFD analysis, and key morphological parameters that affect the turbulence are identified. Large eddy simulations (LES) are then performed on selected cases to predict the air turbulence. Different cases show varying vorticity distribution levels which is expected to lead to varying aerodynamic noise levels.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2000.04a
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• pp.313-316
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• 2000

• Korean Institute of Interior Design Journal
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• v.23 no.2
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• pp.21-29
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• 2014

This study analyzed some of nursing homes in various domestic and foreign regions in order to find solutions to reduce suicidal incidents from the loneliness. To analyze community space of nursing homes, elderly community is analyzed into three categories based on their characteristics (morphological characteristics, Social characteristics, Environmental characteristics). With those three characteristics above, architectural spaces are analyzed the relation with them. Elderly nursing homes are divided with living, nursing, management, and public spaces. The space of elderly nursing homes (classification of function)-elderly community (classification of elderly characteristics) is approached in an architectural way related to the space of elderly nursing homes and elderly characteristics. Through some case studies, specific space relation of elderly nursing homes and elderly community is analyzed. Also, with the building analysis for summary, plans, wards(hospital rooms), cafeteria, program rooms and alley, some of general information and elderly community space is understood. In this study, there will be an analysis of relation of elderly community(morphological, social, environmental characteristics) which is separated into some spaces of elderly nursing homes(living, nursing, public spaces and facilities) written above. Furthermore, if people can recognize the importance of community space for elderly facilities, there will be a new guide line for that which can have a play on catalyst.

• Journal of the Korean Society of Systems Engineering
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• v.2 no.1
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• pp.24-30
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• 2006

In this study, the design concepts for Intelligent Hospital are derived using the Quality Function Deployment(QFD) and System Requirement Analysis Method. First, requirements for important elements of Intelligent hospital are defined. Second, similar systems are compared and user requirement are refined. Through this process, operational requirement for Intelligent Hospital are defined by combining user requirements and similar systems. To analyze operational requirement, the QFD of the system engineering approach are implemented. Alternative design specifications are constructed by implementing the QFD results by building the Morphological Matrix. Various concepts that satisfy the system requirement are derived. Finally the best design concept are obtained using the Pugh concept selection matrix.

• Journal of the Korea Fashion and Costume Design Association
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• v.5 no.1
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• pp.85-88
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• 2003

In order to design a good ready-made cloth, it is important to consider not only body size but also morphological factor. However, most dissatisfaction of customer is focusing on the size of ready-made cloth which is graded with elements of body size. Various researches on body type have been doing but the study on part of body type is insufficient compared to the study on whole body type. The objective of this paper is to provide relationship of shoulder angle between value in pattern and real measured value after analysis and comparison with these two values.

• Journal of Power System Engineering
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• v.20 no.4
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• pp.32-37
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• 2016

This paper proposes two measurement methods for injured rate of fish surface using color image segmentation method based on K-means clustering algorithm and Otsu's threshold algorithm. To do this task, the following steps are done. Firstly, an RGB color image of the fish is obtained by the CCD color camera and then converted from RGB to HSI. Secondly, the S channel is extracted from HSI color space. Thirdly, by applying the K-means clustering algorithm to the HSI color space and applying the Otsu's threshold algorithm to the S channel of HSI color space, the binary images are obtained. Fourthly, morphological processes such as dilation and erosion, etc. are applied to the binary image. Fifthly, to count the number of pixels, the connected-component labeling is adopted and the defined injured rate is gotten by calculating the pixels on the labeled images. Finally, to compare the performances of the proposed two measurement methods based on the K-means clustering algorithm and the Otsu's threshold algorithm, the edge detection of the final binary image after morphological processing is done and matched with the gray image of the original RGB image obtained by CCD camera. The results show that the detected edge of injured part by the K-means clustering algorithm is more close to real injured edge than that by the Otsu' threshold algorithm.

• Journal of the Korea Furniture Society
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• v.24 no.4
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• pp.318-328
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• 2013

This study aimed to examine the theoretical consideration and concept of hybrid that could be applicable to wood product design, to analyze design trend according to the morphological transformation by means of combination of hybrid material and function, to understand the correlation between type of wood product and materials and to apply it to the domestic and overseas hybrid concept of wood product design study. A study of assembling output by empirical experiment to embed natural resources into acrylic resin in order to develop wood products was carried out. And an wood product was suggested that satisfied lighting and hanger function through a new wood product design development combined with hanger function and lighting function. Through such process, a new design paradigm was suggested to cope with the periodic trend and to induce mass production of designed product. Thus, this study set a new guideline for activating wood product design and attempted to meet the social demand of encouraging new value creation.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.46-49
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• 1998

In this paper, we introduce the notion of intelligent communication by introducing a novel intelligent receiver model. This receiver is continually evolving and learns and improves in performance as it compiles its experience over time. In digital communication context, in a typical training mode, it jearns the concept of "1" as is deteriorated by arbitrary (not necessarily additive as is typically assumed) disturbance and /or modulation. After learning "1", in test mode, it classifies the received signal "1" and "0" almost completely. The intelligent receiver as implemented is grounded on the recently introduced Stochastic Morphological Sampling Theorem(SMST), a distribution-free result which gives theoretical bounds on the sample complexity(training size) needed for the required performance parameters such as accuracy($\varepsilon$) and confidence($\delta$). Based on this theorem, we demonstrate --almost irrespective of channel and modulation model-- the number of samples needed to learn the concept of "1" is not too "large" and the resulting universal receiver structure, that corresponding to classical Nearest Neighbor rule in Pattern Recognition Theory, is trivial. We check the surprising efficiency and validity of this model through some simple simulations. and validity of this model through some simple simulations.

• Dementia and Neurocognitive Disorders
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• v.21 no.1
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• pp.17-29
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• 2022

Background and Purpose: Verbal and nonverbal fluency tests are the conventional methods for examining executive function in the elderly population. However, differences in impairments result in fluency tests in patients with mild cognitive impairments (MCIs) and Alzheimer's disease (AD) and in neural correlates underlying the tests still necessitate concrete evidence. Methods: We compared the test performances in 27 normal controls, 28 patients with MCI, and 20 with AD, and investigated morphological changes in association with the test performances using structural magnetic imaging. Results: Patients with AD performed poorly across all the fluency tests, and a receiver operating characteristics curve analysis revealed that only category fluency test discriminated all the 3 groups. Association, category, and design fluency tests involved temporal and frontal regions, while letter fluency involved the cerebellum and caudate. Conclusions: Category fluency is a reliable measure for screening patients with AD and MCI, and this efficacy might be related to morphological correlates that underlie semantic and executive processing.