• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.5
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• pp.71-86
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• 2017

This work explores the historical transformation of manual landscape architectural drawings in terms of hybridization to uncover their inherent creative aspect. Landscape architectural drawing has duel functions; namely, scientific instrumentality and artistic imagination, which are relative, interchangeable, and transformable. These characteristics have been embodied in the forms of particular types of drawing, projections, perspective views, and diagrams, which are not so much clearly distinguishable as rather mutually complementary and hybridized. In particular, the pictorial views of plants in the forms of a perspective view or elevation were frequently hybridized to projection drawings of grounds and architectural structures, which is called planometrics. Particular drawing types have often emerged as suitable and thereby dominant forms, depending on the particular historical styles of landscape design. Sixteenth-century Italian Renaissance gardens and seventeenth-century French formal gardens were generally visualized in the form of projections. Eighteenth-century and early nineteenth-century English landscape gardens were frequently represented in a pictorial perspective view. In nineteenth-century America, different drawing techniques such as competition drawing, photography, and map overlay were specialized depending on their respective functions. Twentieth-century American modernists began to explore the diagram to deploy design strategies. In such transformation, however, the planometric, which considers both the ground plane and plant's frontal identities simultaneously and thereby is suitable to landscape design, was frequently used as a hybridization technique. In the mid-nineteenth century, a top view of plants replaced the planometric, and then, in the twentieth century, plants were no longer represented artistically, instead reduced to the forms of standardized flat symbols. The use of instrumental visualizations thereby gradually increased rather than the use of an imaginative representation for landscape architectural drawings.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.1-6
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• 2018

With the increase of the elderly population, demand for improvement of quality of life and measurement of mental state has increased. However, much of the self-reported diagnosis does not reflect cognitive impairment. This study aims to measure the dwelling depression by applying K-HTP and verify the validity. 301 persons over 65 years old who live as single and couple households in Daejeon and surrounding districts were surveyed during 22 January to 2 February, 2018. The correlations between the dwelling depression and K-HTP are clarified and the validity was evaluated. The correlations between the geriatric dwelling depression index(GDDI) and the GDDI based on K-HTP(GDDI-K) are clarified and the accuracy was analyzed. The results showed that the K-HTP can be utilized to measure the dwelling depression. We suggested a new measurement tool and provide further benefits for researches on diagnoses using the projective method.

• Applied Microscopy
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• v.35 no.4
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• pp.98-104
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• 2005

A FOV (field-of-view) of the HV-MSC (high voltage multi-scan CCD, $1024{\times}1024$ pixels) camera mounted in the post-column HV-GIF (high voltage gatan image filter) has been drastically enlarged by the projection lens current adjustment. An imaging area of the HV-MSC camera obtained at the lowest magnification (2,000x) is $112{\mu}m^2$ which corresponds to the recording area of the film at the magnification of 8,800x, while the achievable recording area is only $0.43{\mu}m^2$ at the same magnification without this technique. Ignoring the image distortion of less than 5%, we have designed an on-site reference graph to estimate projection lens currents for microscope magnifications above 8,800x, where the recording area on the HVMSC is same as that on the film.

• Journal of Biomedical Engineering Research
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• v.19 no.6
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• pp.551-562
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• 1998

Amultiresolution filtering algorithm based on the physical SPECT lesion detachability provides and optimal solution for SPECT reconstruction problem. Related to the previous study, we estimated the SPECT lesion detection capability by m minimum detectable lesion sizes (MDLSs), and generated m reconstruction filters which are designed to maximize the smoothing effect at a fixed MDLS-dependent resolution level $\frac{MDLS}{4\sqrt{2In2}}$. The proposed multiresolution filtering algorithm used a coarse-to-fine approach for the m-level resolution filter images obtained from these m filters for a given projection image. First, the local homogeneity is determined for every pixel of the filter images, by comparing the local variance value computed in a window centered at the pixel and the mode determined from the distribution of the local variances. Based on the local homogeneity, the pixels declared as homogeneous are chosen from the filter image of the lowest resolution, and for the other pixels the same process is repeated for the higher resolution filter images. For the non-homogeneous pixels after this pixels after this repetition process ends, the pixel values of the highest resolution filter image are substituted. From the results of the simulated experiments, the proposed multiresolution filtering algorithm showed a strong smoothing effect in the homogeneous regions and a significant resolution improvement near the edge regions of the projection images, and so produced good adaptability effects in the reconstructed images.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.845-848
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• 2000

운동(motion) 벡터는 보고 있는 카메라와 관측되는 대상물 사이의 상대적인 움직임에 의해서 발생되는 3차원 물체의 속도가 2차원 영상에 투사되어 맺히는 영상에서의 2차원 속도 벡터를 가리킨다 영상에서 물체의 움직임은 3차원 공간상의 운동을 알 수 있는 중요한 정보로써 물체를 추적하는데 응용되고 있다. 본 논문에서는 여러 장의 연속적인 2차원 밝기 영상으로부터 카메라의 움직임을 추정하는 문제를 다룬다. 기존의 특징 기반 추적 기법에서는 저 단계의 영상 처리 과정에서 모델과 배경의 특징점이 서로 분리되지 않거나, 모델의 특징(feature)이 소실되었을 경우, 추적이 용이하지 못하고, 카메라와 3차원 물체의 병진과 회전 운동에 의해 발생된 움직임의 경우 3차원 표적 특징이 많이 사라져서 오차가 많이 누적되기도 한다. 본 논문에서는 이러한 문제를 해결하기 위하여 목표물 및 배경 특징들을 사용하여 카메라의 운동 정보를 찾아내는 기법을 제안한다. 제안하는 3차원 카메라의 운동 정보 추정 기법은 크게 두 장의 연속된 영상으로부터 3차원 모델과 배경의 많은 특징들에 대한 광류(optical flow) 검색 과정과, 이로부터 취득한 움직임 벡터와 카메라의 비선형 운동 방정식과 Lagrange multiplier를 통한 카메라의 운동 정보 추정 과정으로 구성된다.

• Journal of Korea Multimedia Society
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• v.9 no.9
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• pp.1160-1172
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• 2006

Unfolding is an efficient technique to detect colorectal disease since it represents entire shape of colon at a glance. However, the previous unfolding methods may miss the surface located behind the folds or high curvature areas. To solve the problem, we propose an adaptive unfolding method that controls the number of rays in accordance with the surface complexity. In the first step, we find sample points of longer and shorter distance between the sample points and the colon surface, and then determine them as based control points. Next, for reaching rays of sample points in the wrinkled colon surface, sample points are shifted toward the control points that have the long distance. Lastly, we perform a 2D scaling which solves local distortions of the unfolding surface and avoids missing surface. Consequently, our method could be visualized the hidden surface of colon organ in detail.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.4
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• pp.534-540
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• 2010

High dimensionality and highly correlated features are the major characteristics of hyperspectral data. Linear projections such as LDA and its variants have been used in extracting low-dimensional features from high-dimensional spectral data. Regularization of LDA has been introduced to alleviate the overfitting that often occurs in a small-sized training data set and leads to poor generalization performance. Among them, a smoothness regularized LDA seems to be effective in the feature extraction for hyperspectral data due to its capability of utilizing the high correlatedness. This paper studies the performance of the regularized LDA in hyperspectral data classification experimentally with varying conditions of the training data. In addition, a new dual smoothness regularized LDA is proposed and evaluated that makes use of both the spectral-domain and spatial-domain correlations between neighboring pixels.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.45-54
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• 2021

Jeong Sun-Ah built up her performance career for twenty years with bold and energetic acting and solidified her status as a leading actress of Korean musical since her debut. To benefit from the value of her experience this study performed an in-depth interview with her, applying the Theory of "Projection" and "Back-projection", which are the psychological principles of acting, and derived "acting(entering the roles)" and "de-acting(leaving the roles)" techniques. As result, Her acting mechanism involved emptying her ego, embodying a persona by projecting the role created by intensive exploration of materials like previous performance, film of the same title, original novel, and script, and then getting the ego back by back-projecting through dynamic activities such as overseas travel and dance. She pre-studied the roles by physically visiting sites that are important to the characters. She was unique in that she pursued a difference by changing vocal trainers for each musical production and undertook more intense physical training than vocal practice to achieve powerful singing performance. In most of her works (75%), she suffered from aftereffects such as depression, narcissism, hysteria, and insomnia due to disorder caused by breaking away from the roles. However, she relied on self-help and alternatives are needed in the future such as reinforcement of expert counselling. Jeong Sun-Ah appeared on an average of 1.6 productions per year, practiced for an average of 1.7 months, and performed for an average of 3.9 months with an average of 100 days of break between productions. Her performance record from this research demonstrates her constant preparation and passion, as well as the know-how of reserving and distributing energy. So, it has a valuable implications for acting education and self-management of actors and actress.

• The Journal of the Acoustical Society of Korea
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• v.24 no.5
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• pp.238-247
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• 2005

In this Paper. we Presents subband design techniques of a compensating filter and adaptive feedback canceller for the digital hearing aid. The sensorineural hearing loss has a hearing threshold that shows a nonlinear characteristic in frequency domain. and its compensation suffers from an echo that produced by an undesired time varying feedback path. Therefore. the digital hearing aid requires the compensator that can adjust gains nonlinearly in frequency bands and eliminate the echo rapidly In the Proposed digital hearing aid. the compensating filter is designed by the adaptive system identification method in subband structure, and the adaptive feedback canceller is designed by the subband affine projection algorithm. The designed compensation filter can control the nonlinear gain in each subband respectively, therefore precise compensation is possible. And the feedback canceller using the subband adaptive filter achieves fast convergence rate. The Performances of the Proposed method are verified by computer simulations as comparing with the behaviors of the previous trials.

• Smart Media Journal
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• v.8 no.1
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• pp.43-50
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• 2019

As numerous devices are connected through a wireless network, there exist many studies conducted to efficiently connect the devices. While earlier studies often use clustering for efficient device management, there is a load-intensive cluster node which may lead the entire network to be unstable. In order to solve this problem, we propose a scheduling model for centralized unequal chain clustering for efficient management of sensor nodes. For the cluster configuration, this study is based on the cluster head range and the distance to the base station(BS). The main vector projection technique is used to construct clustering with concentricity where the positions of the base stations are not the same. We utilize a multiple radio access interface, multiple-input multiple-output (MIMO), for data transmission. Experiments show that cluster head energy consumption is reduced and network lifetime is improved.