• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.204-206
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• 2003

In order to utilize remote sensed images effectively, a lot of image classification methods are suggested for many years. But, the accuracy of traditional methods based on pixel-based classification is not high in general. In this study, object oriented classification based on image segmentation is used to classify Landsat images. A necessary prerequisite for object oriented image classification is successful image segmentation. Object oriented image classification, which is based on fuzzy logic, allows the integration of a broad spectrum of different object features, such as spectral values , shape and texture. Landsat images are divided into urban, agriculture, forest, grassland, wetland, barren and water in sochon-gun, Chungcheongnam-do using object oriented classification algorithms in this paper. Preliminary results will help to perform an automatic image classification in the future.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.362-369
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• 2024

In this paper, we analyze and study about the incidental music focusing on the Frederick Delius's choral music without instrumental accompaniment. Incidental music refers to music composed for a play, often played between acts or as background music. Typically, incidental music is discussed within the realm of classical music, but historically, it has evolved into background music for various media. Additionally, incidental music is predominantly instrumental rather than vocal or choral. However, Frederick Delius expanded the scope of incidental music to include choral elements. Delius's efforts opened new possibilities for incidental music, enhancing the integration of drama and music. His works transcend mere background music, enriching the atmosphere and emotions of the play. This provides the audience with a more immersive experience and elevates the artistic value of incidental music. Frederick Delius's unaccompanied choral work, "Two songs to be Sung of a Summer Night on the Water" is characterized by their lack of lyrics and melodic and harmonic texture, making them even more suitable as incidental music.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.2
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• pp.67-76
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• 2008

Recently, one of the most outstanding technological characteristics of aerial survey is an application of Direct Georeferencing, which is based on the integration of main sensing sensors such as aerial camera or Lidar with positioning sensors GPS and IMU. In addition, a variety of digital aerial mapping cameras is developed and supplied with the verification of their technical superiority and applicability. In accordance with this requirement, the development of a multi-looking aerial photographing system is just making 3-D information acquisition and texture mapping possible for the dead areas arising from building side and high terrain variation where the use of traditional phptogrammetry is not valid. However, the development of a multi-looking camera integrating different sensors and multi-camera array causes some problems to conduct time synchronization among sensors and their geometric and radiometric calibration. The establishment of a test field for aerial sensor calibration is absolutely necessary to solve this problem. Therefore, this paper describes investigations for photogrammetric Test Field of foreign countries and suggest an establishment scheme for domestic test field.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.4
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• pp.400-411
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• 2012

This study analyzes the formative changes and trends of cape design in modern fashion. In this study, a total of 496 cape designs were collected through the four major fashion collections of Paris, Milan, New York, and London from 2006S/S to 2010F/W, and a literature overview on capes was performed. The results of this study show that the cases with collars and hoods attached outnumbered the non-collared designs. In addition, the cases of lengthy cape in the hip or knee line represent more portions in designs. As to the material, it indicated that generic cloth was used the most. In most cases, decorations with various details and trimmings were also used. For expression characteristics, cases only with unique texture to cloth material and formative beauty were the most remarkable without decoration. For the formative feature, the independent item style was found the most, even though it was worn together with other kinds of clothing. Integration with other types also appeared such as cape jacket, cape dress, cape one-piece, or cape coat. Cape design features in contemporary fashion and could be characterized as feministic elegancy, harmony of practical value and fashion, authoritativeness, and decorativeness from the design trend analysis.

• Journal of Haehwa Medicine
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• v.19 no.1
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• pp.99-109
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• 2010

Oriental medicine which is based on internal activeness has constantly been developed for over thousands years and during that time it has encountered Western medicine that has the different system. Because of a lot of different viewpoints of how to understand human and nature, there exist lots of problems to cope with for the integration of two medicines as follows: (1) Oriental medicine regards each person as a cosmos in miniature but Western medicine is based on dualism, substantialism and mechanism. (2) Oriental medicine thinks much of totality as a cosmos in a miniature but Western medicine investigates individual structure and function of human organ and system. (3) Oriental medicine considers that organs are the core of the Oriental medical physiology and makes much account of their functions and their relationships with fundamental texture, but Western medicine gives much emphasis on the structure than functions. Despite of these differences, Oriental medicine and Western medicine should develop mutual understanding and this will facilitate the achievement of the third medicine that is suitable for the primary object of medicine that is to enhance human health and cure diseases.

• The Korean Journal of Food & Health Convergence
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• v.9 no.4
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• pp.19-23
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• 2023

The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

• ETRI Journal
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• v.45 no.5
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• pp.847-861
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• 2023

Dynamic object detection is essential for ensuring safe and reliable autonomous driving. Recently, light detection and ranging (LiDAR)-based object detection has been introduced and shown excellent performance on various benchmarks. Although LiDAR sensors have excellent accuracy in estimating distance, they lack texture or color information and have a lower resolution than conventional cameras. In addition, performance degradation occurs when a LiDAR-based object detection model is applied to different driving environments or when sensors from different LiDAR manufacturers are utilized owing to the domain gap phenomenon. To address these issues, a sensor-fusion-based object detection and classification method is proposed. The proposed method operates in real time, making it suitable for integration into autonomous vehicles. It performs well on our custom dataset and on publicly available datasets, demonstrating its effectiveness in real-world road environments. In addition, we will make available a novel three-dimensional moving object detection dataset called ETRI 3D MOD.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.34-44
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• 2009

Integrating 3D data acquired in multiple views is one of the most important techniques in 3D modeling. However, due to the presence of surface scanning noise and the modification of vertices consisting of surface, the existing integration methods are inadequate to some applications. In this paper, we propose a method of integrating surfaces by using the local surface topology. We first find all boundary vertex pairs satisfying a prescribed geometric condition on adjacent surfaces and then compute 2D planes suitable to each vertex pairs. Using each vertex pair and neighbouring boundary vertices projected to their 2d plane, we produce polygons and divide them to the triangles which will be inserted to empty space between the adjacent surfaces. A proposed method use local surface topology and not modify the vertices consisting of surface to integrate several of surfaces to one surface, so that it is robust and simple. We also integrate the transformed textures to a 2D image plane computed by using a cylindrical projection to composite 3D textured model. The textures will be integrated according to the partition lines which considering attribute of face object. Experimental results on real object data show that the suggested method is simple and robust.

• Journal of Environmental Policy
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• v.12 no.3
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• pp.21-47
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• 2013

The aim is to analysis landslide vulnerability in Inje, Korea, using GCI(Geospatial Correlative Integration) and probability rainfalls based on geographic information system (GIS). In order to achieve this goal, identified indicators influencing landslides based on literature review. We include indicators of exposure to climate(rainfall probability), sensitivity(slope, aspect, curvature, geology, topography, soil drainage, soil material, soil thickness and soil texture) and adaptive capacity(timber diameter, timber type, timber density and timber age). All data were collected, processed, and compiled in a spatial database using GIS. Karisan-ri that had experienced 470 landslides by Typhoon Ewinia in 2006 was selected for analysis and verification. The 50% of landslide data were randomly selected to use as training data, while the other 50% being used for verification. The probability of landslides for target years (1 year, 3 years, 10 years, 50 years, and 100 years) was calculated assuming that landslides are triggered by 3-day cumulative rainfalls of 449 mm. Results show that number of slope has comparatively strong influence on landslide damage. And inclination of $25{\sim}30^{\circ}C$, the highest correlation landslide. Improved previous landslide vulnerability methodology by adopting GCI. Also, vulnerability map provides meaningful information for decision makers regarding priority areas for implementing landslide mitigation policies.

• The Journal of Korean Academy of Sensory Integration
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• v.19 no.1
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• pp.39-53
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• 2021

Objective : The purpose of this study was to systematically review dysphagia rehabilitation treatment for children with feeding disorders. Methods : The articles evaluated in this study were collected from the PubMed, Medline Complete, and CINAHL databases and subsequently reviewed using the PRISMA flow chart and PICOS approach. A total of 13 papers were analyzed for study quality, disease groups, evaluation tools, interventions, and post-intervention effects. Results : Of the reviewed papers, six (46.15%) related to autism spectrum disorder (ASD) and seven (53.85%) to cerebral palsy (CP) with age ranges of between 2 and 8 years for the ASD studies and between 12 months and 18 years for CP. In evaluating the types of feeding disorder involved, the ASD group exhibited predominantly behavioral conditions while the CP subjects had a larger number of functional oral and swallowing issues. In terms of interventions, behavior modifications were used most frequently with ASD while oral-sensory motor, texture modifications, and electrical stimulation were applied at the same frequency with children with CP. All interventions were found to be effective. Conclusion : In this study, research into children with feeding disorders was reviewed according to condition, evaluation tool, and method of intervention. It is expected that this review can be used as basic data for developing a protocol that will allow clinicians to efficiently apply condition-specific interventions for eating disorders without resorting to trial and error.