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Analyzing Characteristics of Forest Damage within the Geum-buk Mountain Range (금북정맥의 산림훼손 특성 분석)

  • Jang, Gab-Sue;Jeon, Seong-Woo;Kim, Sang-Soo
    • Journal of the Korean Institute of Landscape Architecture
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    • v.36 no.5
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    • pp.55-63
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    • 2008
  • The characteristics of forest damage in the Geum-buk Mountains were analyzed by using satellite images and a field survey for landscape conservation purposes. A survey scope was fixed using DEM, and areas of damage in the mountain range were analyzed via ArcMap v. 9.2 using SPOT 5 images, a high resolution satellite image. All damaged areas were reviewed and corrected in a field survey. As a result, 75 roads were found to completely fragment forest patches. Of those roads, 26 have the width under 3m, which means that the fragmentation of the forest by these roads may have a minor effect on forest habitat and its ecosystems, while other roads such as two-lane roads may have broader detrimental influences on the ecosystem. Two thousand eighty-three sections of accounted for a total area of about 5,760.7ha. Orchard areas including chestnut tree plantations were ranked as the largest in the damaged area within the Geum-buk Mountains, followed by public facility areas and grassland areas. This means that man-made land usage has progressed in the area regardless of slope and elevation.

Analysis of Temperature Distributions in Spray Coating Room (스프레이 코팅 룸의 온도분포 해석)

  • Kim, Nam Woong;Kim, Sung-Yong;Kim, Kug Weon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.7667-7671
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    • 2015
  • Recently, Zinc coating is often used with environment friendly features and high performance. Generally The coating temperature is one of main factors for determining coating thickness and coating ability, so the optimal coating temperature is strongly required. In this paper, the thermo-flow simulation considering the air flow inside the coating rooms for analyzing the temperature distributions of Zinc spray coating room was performed. Two spray coating rooms, preheating room and drying room were all modeled by SolidWorks program and the temperature distributions were analyzed by Flow simulation program. The analysis results were verified with the measured data by thermal image camera. The characteristics of temperature distributions of the first spray room and the second spray room were understood and the results showed that the temperatures of two spray coating room were low compared with the target temperature $25^{\circ}C$. To the exclusion of heater addition, the simulation with all the same conditions exclusive the exhaust fan was performed, which showed that the temperatures of the first and the second spray rooms increased by $6.2^{\circ}C$ and $5.8^{\circ}C$. This analysis can be applicable for designing a new spray coating room for improving performance.

A Study to analyze Management Perfomance Building BSC for Hotels (BSC시스템 구축을 위한 호텔기업의 전략적 탐색)

  • Chung, tae-woong
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.343-347
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    • 2008
  • There are two kind of system in hotel for evaluating management. the first is infra system, for example Front management system - reservation system, C/I, C/O system, POS system , web system, call center management -, Back office system, interface system, and so on which manage direct control for hotel, and next is strategic system, for example BSC , CS . which is supporting hotel management. The purpose of this study was to find using the Balanced Scorecard to evaluate hotel management perfomance. Management performance is based on productivity, quality, time, effect, and responsiveness. Hotel economic value is not equal visual asset which is measured financial value. It is include hotel brand, image, customers who have good loyalty, employees who give customers special service, and systems which was affected by internal process. In conclusion, innovation, growth, internal system process, empioyee and customer have effect hotel performance. Therefore hotel has to know non-financial performance which has positively relate to financial performance.

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Study on Development of Assessment Guideline and Endpoints for Clinical Trial with Antitumor Natural Products (천연물 항암제제 임상시험 평가지표 개발연구)

  • Namgung, Mi-Ae;Chang, Yoo-Sung;Jeong, Seung-Gi;Kim, Jin-Seung;Yoon, Sung-Woo;Jang, Ki-Young;Yoo, Hwa-Seung;Jung, Myeon-Woo;Lee, Sung-Ho;Kim, Sung-Hoon
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.20 no.6
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    • pp.1678-1727
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    • 2006
  • This study was perfromed to develop the assessment guideline and endpoints for clinical trial with anticancer herbal medicine. The botanical products used to humans for long time may be applied to phase 3 clinical trial after submitting the evidences for safety and efficacy of them or completion of basic requirement of phase 1 and phase 2 for safety confirmation and dose determination. Syndrome improvement was chiefly evaluated by Zubrod and karnofsky(%) methods. We suggest the general clinical trial assessment with botanical products, by following assessment points, that is, tumor size for 50 points, survival fate for 10 points, major syndromes for 40 points. It is recommendable that the each symptom of Qi deficiency syndrome, blood deficiency syndrome and Qi stagnation syndrome was allocated by assessment points, Similarly, the each symptom was given the assessment points according to the severity of symptom, for example, slight for 3 points, moderate for 2 points and severe for 1 point in hepatocelluar carcinoma and lung cancer. Then, the efficacy of botanical products was evaluated by the difference between pre-treatment and post-treatment. Asking the neoplastic patients of questionnaire on physical, emotional, cognitive, social and role subjects availability, three more syndromes (Fatigue, Pain and Nausea/Vomit), quality of life(QOL) will be evaluated by GLM statistics. In addition, in case of lung cancer, 13 questions will be asked by the EORTC QLQ-C13 forms. As the assessment of endpoints for efficacy to reduce side effects induced by chemotherapy and radiotherapy, the data of image scanning and hemato-urinalysis can be usefully applied on immune response, weight loss, indigestion, hemopoietic damage and injury of liver and kidney, while the changes of syndromes of side effect can be evaluated by differentiation methods of Qi and blood and five viscera. However, it is still necessary to determine the ratio between scientific analytical method and Oriental differentiation method as well as confirm the Oriental assessment endpoints by clinical trial. In addition, we suggest the continuous development of assessment endpoints on other carcinomas except of hepatocelluar carcinoma and lung cancer in future.

Classification of Natural and Artificial Forests from KOMPSAT-3/3A/5 Images Using Deep Neural Network (심층신경망을 이용한 KOMPSAT-3/3A/5 영상으로부터 자연림과 인공림의 분류)

  • Baek, Won-Kyung;Lee, Yong-Suk;Park, Sung-Hwan;Jung, Hyung-Sup
    • Korean Journal of Remote Sensing
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    • v.37 no.6_3
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    • pp.1965-1974
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    • 2021
  • Satellite remote sensing approach can be actively used for forest monitoring. Especially, it is much meaningful to utilize Korea multi-purpose satellites, an independently operated satellite in Korea, for forest monitoring of Korea, Recently, several studies have been performed to exploit meaningful information from satellite remote sensed data via machine learning approaches. The forest information produced through machine learning approaches can be used to support the efficiency of traditional forest monitoring methods, such as in-situ survey or qualitative analysis of aerial image. The performance of machine learning approaches is greatly depending on the characteristics of study area and data. Thus, it is very important to survey the best model among the various machine learning models. In this study, the performance of deep neural network to classify artificial or natural forests was analyzed in Samcheok, Korea. As a result, the pixel accuracy was about 0.857. F1 scores for natural and artificial forests were about 0.917 and 0.433 respectively. The F1 score of artificial forest was low. However, we can find that the artificial and natural forest classification performance improvement of about 0.06 and 0.10 in F1 scores, compared to the results from single layered sigmoid artificial neural network. Based on these results, it is necessary to find a more appropriate model for the forest type classification by applying additional models based on a convolutional neural network.

Case Study of SM Entertainment on the K-Pop Visual Directing Strategy (K-Pop 비주얼디렉팅 전략에 관한 SM 사례연구)

  • Choi, Lia Sung-Yee;Ko, Jeong-Min
    • Journal of Digital Convergence
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    • v.17 no.2
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    • pp.373-379
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    • 2019
  • This study examines the process and scope of visual directing through the case of SM Entertainment, and explores the role of visual directors. As a result of the case study, SM created the visual directing team composed of art director and visual designers within the creative headquarters and was actively introducing visual directing for the development of idol. The visual directing process of SM, which is being developed as a part of the star marketing, consists of analyzing the environment in marketing strategy, establishing marketing strategy related to idol, setting up target image per artist, and finally planning and managing the visual directing project. The visual director in SM is required to have creative talent, logical persuasion, information analytical ability, visual expression ability, and field application ability. SM also applies visual directing accumulated from idol singers to SM business areas such as MD product design and production, product composition and designer collaboration, and SM town COEX artium. This paper have significance in attracting visual directing to the academic field.

Solitary Work Detection of Heavy Equipment Using Computer Vision (컴퓨터비전을 활용한 건설현장 중장비의 단독작업 자동 인식 모델 개발)

  • Jeong, Insoo;Kim, Jinwoo;Chi, Seokho;Roh, Myungil;Biggs, Herbert
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.4
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    • pp.441-447
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    • 2021
  • Construction sites are complex and dangerous because heavy equipment and workers perform various operations simultaneously within limited working areas. Solitary works of heavy equipment in complex job sites can cause fatal accidents, and thus they should interact with spotters and obtain information about surrounding environments during operations. Recently, many computer vision technologies have been developed to automatically monitor construction equipment and detect their interactions with other resources. However, previous methods did not take into account the interactions between equipment and spotters, which is crucial for identifying solitary works of heavy equipment. To address the drawback, this research develops a computer vision-based solitary work detection model that considers interactive operations between heavy equipment and spotters. To validate the proposed model, the research team performed experiments using image data collected from actual construction sites. The results showed that the model was able to detect workers and equipment with 83.4 % accuracy, classify workers and spotters with 84.2 % accuracy, and analyze the equipment-to-spotter interactions with 95.1 % accuracy. The findings of this study can be used to automate manual operation monitoring of heavy equipment and reduce the time and costs required for on-site safety management.

Web-based Disaster Operating Picture to Support Decision-making (의사결정 지원을 위한 웹 기반 재난정보 표출 방안)

  • Kwon, Youngmok;Choi, Yoonjo;Jung, Hyuk;Song, Juil;Sohn, Hong-Gyoo
    • Korean Journal of Remote Sensing
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    • v.38 no.5_2
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    • pp.725-735
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    • 2022
  • Currently, disasters occurring in Korea are characterized by unpredictability and complexity. Due to these features, property damage and human casualties are increasing. Since the initial response process of these disasters is directly related to the scale and the spread of damage, optimal decision-making is essential, and information of the site must be obtained through timely applicable sensors. However, it is difficult to make appropriate decisions because indiscriminate information is collected rather than necessary information in the currently operated Disaster and Safety Situation Office. In order to improve the current situation, this study proposed a framework that quickly collects various disaster image information, extracts information required to support decision-making, and utilizes it. To this end, a web-based display system and a smartphone application were proposed. Data were collected close to real time, and various analysis results were shared. Moreover, the capability of supporting decision-making was reviewed based on images of actual disaster sites acquired through CCTV, smartphones, and UAVs. In addition to the reviewed capability, it is expected that effective disaster management can be contributed if institutional mitigation of the acquisition and sharing of disaster-related data can be achieved together.

Moderating Effects of Chemyon(Social Face) and Consumption Situation in the Relationship between Self-Presentation and Brand Preference (자기제시와 브랜드 선호도의 관계에서 체면민감성과 사용상황의 조절효과)

  • Jeong, Bora;Kim, Mi-Jeong;Yoon, Ji-Hyun;Lee, Ju-Hwa;Han, Ji-Su;Lee, Seongsoo
    • Journal of Advanced Technology Convergence
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    • v.1 no.1
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    • pp.15-24
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    • 2022
  • This paper tried to investigate the moderating effect of chemyon sensitivity and usage situation in the relationship between self-presentation and brand preference. Data were collected from students of universities located in Chungnam. The analysis results can be summarized as follows. First of all, the effect of self-presentation on symbolic brand preference was not significant in both public and private use situations. On the other hand, the effect of self-presentation on functional brand preference was found to be significant in both situations. Second, the main effect of chemyon sensitivity was significant only when it had a negative effect on functional brand preference in public situations, but was not significant in other cases. Third, looking at the interaction effect of self-presentation and chemyon sensitivity, the brand preference did not show significant changes in those with relatively low chemyon sensitivity, regardless of the level of self-presentation, whether in public or private situations. This study is meaningful in that it reveals that chemyon sensitivity affects brand preference through interaction with self-presentation, whether the consumption situation is public or private.

Detection of Steel Ribs in Tunnel GPR Images Based on YOLO Algorithm (YOLO 알고리즘을 활용한 터널 GPR 이미지 내 강지보재 탐지)

  • Bae, Byongkyu;Ahn, Jaehun;Jung, Hyunjun;Yoo, Chang Kyoon
    • Journal of the Korean Geotechnical Society
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    • v.39 no.7
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    • pp.31-37
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    • 2023
  • Since tunnels are built underground, it is impossible to check visually the location and degree of deterioration of steel ribs. Therefore, in tunnel maintenance, GPR images are generally used to detect steel ribs. While research on GPR image analysis employing artificial neural networks has primarily focused on detecting underground pipes and road damage, there have been limited applications for analyzing tunnel GPR data, specifically for steel rib detection, both internationally and domestically. In this study, a one-step object detection algorithm called YOLO, based on a convolutional neural network, was utilized to automate the localization of steel ribs using GPR data. The performance of the algorithm is then analyzed. Two datasets were employed for the analysis. A dataset comprising 512 original images and another dataset consisting of 2,048 augmented images. The omission rate, which represents the ratio of undetected steel ribs to the total number of steel ribs, was 0.38% for the model using the augmented data, whereas the omission rate for the model using only the original data was 7.18%. Thus, from an automation standpoint, it is more practical to employ an augmented dataset.