• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.663-672
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• 2002

In this paper, Using an automatic tracking system, behavior of an aquatic insect, Chironomus sp. (Chironomidae), was observed in semi-natural conditions in response to sub-lethal treament of a carbamate insecticide, carbofuran. The fourth instar larvae were placed in an observation cage $(6cm\times{7cm}\times{2.5cm)}$ at temperature of $18^\circ{C}$ and the light condition of 10 time (light) : 14 time (dark). The tracking system was devised to detect the instant, partial movement of the insect body. Individual movement was traced after the treatment of carbofuran (0.1ppm) for four days 2days : before treatment, 2 days : after treatment). Along with the other irregular behaviors, "ventilation activity", appearing as a shape of "compressed zig-zag", was more frequently observed after the treatment of the insecticide. The activity of the test individuals was also generally depressed after the chemical treatment. In order to detect behavioral changes of the treated specimens, wavelet analysis was implemented to characterize different movement patterns. The extracted parameters based on Discrete Wavelet Transforms (DWT) were subsequently provided to artificial neural networks to be trained to represent different patterns of the movement tracks before and after treatments of the insecticide. This combined model of wavelets and artificial neural networks was able to point out the occurrence of characteristic movement patterns, and could be an alternative tool for automatically detecting presences of toxic chemicals for water quality monitoring. quality monitoring.

• (The)Study of the Eastern Classic
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• no.41
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• pp.187-209
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• 2010

This thesis to be studied conversation by writing between the medical staff of Chosun(朝鮮) and Japan in 1763. Both countries the medical staff and intellectuals meet that communication, confrontation and conflict, exchanges and cooperation in 18C. They met greeting and sing in chorus. Chosun keep checking in western medicine of Japan. They are compared to customs of two countries. Also Japanese increase interest in the Hangeul(한글). Confrontation and conflict resulted from history recognition and difference of viewpoint of two countries. Especially Kokugaku(古學) have many influence on this situation. So battle come and go to study of Ogyu Sorai(荻生?徠) and Dajai Jun(太宰純). But this situation includes Mutual misunderstanding. Because of limitation on conversation by writing. Exchanges and cooperation take shape on the medical staff that a process of ginseng(人蔘), medical treatment. And two countries promote goodwill that method of buying books in Japan and medical treatment. In conclusion, intellectuals of Chosun and Japan have some misunderstanding and distrust. but they are communication with Chinese writing that east asian's common language. Also exchange its views and information.

• Journal of Korean Society of Rural Planning
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• v.24 no.4
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• pp.135-146
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• 2018

A Visual landscape planning and management system has been introduced and implemented by each ministry so as to solve the problems of visual landscape destruction due to recognition on the value of natural landscape of beautiful territory and various development projects. At present, this system emphasizes the importance of the visual and perceptual aspect of the landscape however, there is a lack of techniques required for comprehensively predicting, evaluating, and managing it. Furthermore, sustainable landscape management after the completion of development projects has been inadequately carried out, as the focus has been only on consultation in the planning process of the development project in institutional performance. To this end, we presented objective and standardized criteria to predict and judge the effects of development projects on landscapes before project implementation. During the implementation of the development project, the influence of the visual landscape becomes accumulated in the construction progress stage. There is a need to identify the main viewpoints and to examine the continuous changes in the landscape-influencing factors, owing to the remarkable influences on the landscape, such as the change in the topography and the change caused by the artificial structure. During the stage of managing the influence on the visual landscape after the completion of the project, the influence on landscape should be monitored by measuring the change in the continuous landscape-influencing factors and determining the extent to which the actual reduction plan has been implemented. These processes should be performed continuously to maintain the quality of the visual landscape. The change in the landscape caused by the development project is shown to cause relatively greater visual damage than other factors composing the landscape owing to the influence of the artificial factors including the structure or the building. This shows that not only detailed examination of the visual impact before the development project but also continuous management is required during and after the development project. For this purpose, we derived eight landscape-influencing factors including form/shape, line, color, texture, scale/volume, height, skyline, and landscape control point. The proposed considering to be of high utilization in that it has a clear target of the landscape influencing factors.

• Korean Journal of Plant Taxonomy
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• v.49 no.1
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• pp.28-69
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• 2019

We conducted taxonomical investigations based on morphological characteristics, fruit morphology, and literature research on the tribe Potentilleae (Rosaceae) in Korea covering seven genera and 24 species. The style position on the ovary and the shape of style were useful characteristics for the classification of subtribal and generic levels in the tribe Potentilleae. The subtribe Fragariinae is characterized by subbasal or lateral style on the ovary and anthers with one theca. The subtribe Potentillinae has a subterminal style on the ovary, except for Argentina, which presents a subterminal and lateral style and anthers with two thecae. These results support the recent taxonomic recognition that i) the tribe Potentilleae consists of two subtribes, and ii) genera such as Dasiphora, Comarum, and Sibbaldianthe sometimes included in Potentilla s.l. are treated as independent genus. In the subtribe Potentillinae, Argentina, which has been treated as Potentilla, is supported as a distinct genus according to the characteristics of the subterminal and lateral style position and the ventral stipular auricles. In Fragaria, F. nipponica subsp. chejuensis, which has generally small leaves and a limited distribution only on Hallasan Mt., is supported by treatment as an endemic species. Duchesnea chrysantha is distinguished from D. indica by the characteristics of light green or yellowish green leaves, thin and somewhat membranous leaflets, and broad ovate or obovate leaflets. Each complex of P. dickinsii and P. chinensis remains unresolved with regard to controversy over the taxonomic circumscription due to their external morphological variations. Additional taxonomical research and molecular population studies are required for a more in-depth understanding of the tribe Potentilleae in Korea.

• Journal of Korean Society of Neurocognitive Rehabilitation
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• v.10 no.2
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• pp.19-26
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• 2018

Many people do not realize that they have poor neck posture. Incorrect forward head posture can lead to turtle neck. This aim to development of specific chair to reduce tension and other symptoms of turtle neck posture. This turtle neck syndrome adjusting chair is a chair that supports the hip and shin of a person to help them correct their posture. It is consisted of the shin support that supports the shin in an angle and the hip support that supports one's hip while the shin is supported at an angle, the main frame that has the two of them connected and the fluid seat that is joined at the top of the hip support and reacts accordingly to the shape of the hip. This is a posture correction chair which has the fluid seat that provides unstable hip support so that it can allow a person to realize their posture from the constant stimulation about the posture. When one seats on the posture correction chair, their hip and shin are supported at an angle that straitens their back, and as their back is straightened, their shoulders and chest are opened, and the neck is positioned at the middle to help them correct their posture. An unbalanced posture causes discomfort to the person seated at the chair, and the person sitting on the posture correction chair will continuously adjust his/her posture to balance the hips to keep the correct posture. Through this process, the person shall adjust his/her left and right posture, ultimately increasing the effectiveness of posture correction. A future collective study on the continuous posture correction of people having turtle neck syndrome using this posture correction chair is required.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.944-953
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• 2020

Object detection plays a crucial role in a self-driving system. With the advances of image recognition based on deep convolutional neural networks, researches on object detection have been actively explored. In this paper, we proposed a lightweight model of the mask R-CNN, which has been most widely used for object detection, to efficiently predict location and shape of various objects on the road environment. Furthermore, feature maps are adaptively re-calibrated to improve the detection performance by applying an attention module to the neural network layer that plays different roles within the mask R-CNN. Various experimental results for real driving scenes demonstrate that the proposed method is able to maintain the high detection performance with significantly reduced network parameters.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.46 no.4
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• pp.371-382
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• 2020

There have been continuous attempts to quantify sensory attributes of cosmetic products by measuring relevant physical properties. The most representative method to evaluate stickiness is to measure axial force using texture analyzer. Stickiness is known to correlate with AUC which abbreviates area under curve in the obtained axial force curve as a function of time. Recently, Normandie University research group developed in vivo stickiness evaluation method considering the characteristics of skin along with established evaluation method[8]. Based on the study, we tried to optimize in vivo stickiness evaluation method especially for cosmetic creams. The experiment was carried out on 5 different facial creams products by changing the amount and the times of rolling of creams, and the shape and material of probes. Based on the results of the sensory evaluation, the most consistent conditions were established as the optimal evaluation method. As a result, applying 70 μL of cream and rubbing 10 times for 7 s inside the 3.4 cm circle were judged to be suitable. As for the probes, spherical metallic probe was more proper due to its reproducibility. We conducted the settled method on 10 subjects to check its validity. Although the absolute values of AUC differed depending on the individuals, the AUC values were all ranked the same. Finally, for the standardization of stickiness of AUC, polyvinylpyrrolidone (PVP) was set as a reference material and we measured AUC of its aqueous solution by changing concentration. Then, the degree of stickiness recognition for 5 different creams was surveyed to check the correlation between AUC and stickiness.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.63-70
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• 2022

Although 2D Object detection has been largely improved in the past years with the advance of deep learning methods and the use of large labeled image datasets, 3D object detection from 2D imagery is a challenging problem in a variety of applications such as robotics, due to the lack of data and diversity of appearances and shapes of objects within a category. Google has just announced the launch of Objectron that has a novel data pipeline using mobile augmented reality session data. However, it also is corresponding to 2D-driven 3D object detection technique. This study explores more mature 2D object detection method, and applies its 2D projection to Objectron 3D lifting system. Most object detection methods use bounding boxes to encode and represent the object shape and location. In this work, we explore a stochastic representation of object regions using Gaussian distributions. We also present a similarity measure for the Gaussian distributions based on the Hellinger Distance, which can be viewed as a stochastic Intersection-over-Union. Our experimental results show that the proposed Gaussian representations are closer to annotated segmentation masks in available datasets. Thus, less accuracy problem that is one of several limitations of Objectron can be relaxed.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.2
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• pp.91-108
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• 2022

In most cases, optical images have been used as training data of DL (Deep Learning) models for object detection, recognition, identification, classification, semantic segmentation, and instance segmentation. However, properties of 3D objects in the real-world could not be fully explored with 2D images. One of the major sources of the 3D geospatial information is DSM (Digital Surface Model). In this matter, characteristic information derived from DSM would be effective to analyze 3D terrain features. Especially, man-made objects such as buildings having geometrically unique shape could be described by geometric elements that are obtained from 3D geospatial data. The background and motivation of this paper were drawn from concept of the intrinsic image that is involved in high-level visual information processing. This paper aims to extract buildings after classifying terrain features by training DL model with DSM-derived information including slope, aspect, and SRI (Shaded Relief Image). The experiments were carried out using DSM and label dataset provided by ISPRS (International Society for Photogrammetry and Remote Sensing) for CNN-based SegNet model. In particular, experiments focus on combining multi-source information to improve training performance and synergistic effect of the DL model. The results demonstrate that buildings were effectively classified and extracted by the proposed approach.

• Journal of People, Plants, and Environment
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• v.23 no.6
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• pp.603-614
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• 2020

Background and objective: This study was conducted to understand urban residents' perception of indoor plants in order to assist in the preparation of guidelines for growing plants indoors. Methods: Questionnaires were distributed to urban residents currently growing plants or with experience of growing plants. The data of 247 respondents were subjected to analysis to assess their level of interest and ability with regard to growing plants, and their recognition of the selection and function of plants. Results: Respondents showed high interest in growing plants at a level of 6.77, but their ability was moderate. This suggests that information regarding plant maintenance should be provided to urban residents. They recognized the function of plants for improving the environment as important, and expected that indoor plants would improve their mood and visual experience. Satisfaction with growing plants was high from an emotional perspective. They recognized that the function of air purification function was important even if the actual performance or effect was not great. This indicates that the function of air purification should be emphasized more. As the result of the IPA, plants should be selected in consideration of morphological characteristics such as leaf, flower and fruit, and continuously managed to maintain their characteristics. Since the performance of pots was less satisfactory compared to their importance, they should be selected so that they harmonize better with plants and are of the appropriate size to fit the space. The type of plants is an important factor in plant selection in order to perform an environmental function, and the flower color and pot size are important in terms of aesthetics and healing. Conclusion: When horticulture information on indoor plants is provided to urban residents, first, it should be provided to satisfy the functions of the plants required by urban residents and in order to promote and maintain the proper growth of plants. Second, various contents that utilize components should be developed to achieve plant function so that resident can determine the function of plants and select the type, quantity, and shape of plants to achieve the desired function.