• Title/Summary/Keyword: AI City

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Planning of Neighborhood Parks for the Disaster Prevention in Jecheon City (제천시의 방재형 도시 근린공원 조성 계획)

  • Lee, Ai-Ran
    • Ecology and Resilient Infrastructure
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    • v.2 no.4
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    • pp.296-304
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    • 2015
  • The rapid increase in the number of climate disasters combined with the scale of change and the diversification of natural disasters require a radical solution. In particular, the urban space is more complex, therefore we need to establish measures for disaster response and how to react to damaged infrastructure based on the phenomenon of an increase in the urban population and the impermeable layer being extended. The social problems related to the economic burden of land purchase and the securing of a disaster prevention system can be solved simultaneously by introducing the park system for disaster reduction into the public land of the green space in the city. The local government has recently adapted diverse systems of disaster mitigation and carried out pioneer projects according to the guidelines for the construction of the urban park for disaster prevention published by the Ministry of Land, Infrastructure and Transport. The purpose of this study is to propose a composition model for neighborhood parks to prevent disaster through urban green spaces which has the functions of water management and biotope conservation. The result of this study will contribute to utilize the climate change adaptation model for living area neighborhood parks in the existing urban structure.

Conservation of metal artifacts excavated from tumulus in Chodang-dong, Kangreung City (강릉시 초당동 고분 출토 금속유물 보존)

  • Yu, Jae-Eun
    • 보존과학연구
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    • s.21
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    • pp.77-99
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    • 2000
  • Tumuli located in Chodang-dong in Kangreung City are sitesexcavated by the Museum of Kangreung University in 1993.Ofthese sites, a gilt bronze crown and gilt bronze sword with ring pommel with a tri-leaf ornament were excavated from the B-16tumulus. Underneath the gilt bronze crown was the gilt bronzes word with ring pommel with tri-leaf ornament, and these artifacts were treated with Polyurethane foams on the spot followed by special measures for conservation. This manuscript describes measures for conservation andanalysis with regard to the gilt bronze crown, gilt bronze sword with ring pommel with tri-leaf ornament and gilt bronze beltornaments. Bronze on the gilt bronze crown was completely corroded, therefore it was consolidated together with soil in the back of the artifact with Paraloid B72 after cleaning. Polyurethanefoams bottom was finished by applying the mixture of Epoxy resinAW106 and HV935K with soil. On the sword with ring pommel, the wooden part of the hilt was coated with Paraloid B72 (in Xylene) and the blade was consolidated with Paraloid NAD-10 30% after desalting with Sodium sesquicarbonate method. The gilt bronzebelt ornaments were treated with 3% Benzotriazole, coated with Paraloid B72 and then joined by using Cyanlacrylate. Specimens for the gilt bronze crown and gilt bronze belt ornaments were produced and gilding layers were examined under a metallographic microscope. The gilt bronze crown and the gilt bronze belt ornament maintained relatively good gilding quality with uniform gilding layers. Analysis of wood for the sheath of the sword with ring pommel revealed it to be Juglans mandshurica. Further more, analysis of constituents for a blue colored grassbead from dissolution of Polyurethane foams found it to be from the $Na_2O$-CaO-$AI_2O_3$-$SiO_2$ family.

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An Analysis of Keywords Related to Neighborhood Healing Gardens Using Big Data (빅데이터를 활용한 생활밀착형 치유정원 연관키워드 분석)

  • Huang, Zhirui;Lee, Ai-Ran
    • Land and Housing Review
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    • v.13 no.2
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    • pp.81-90
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    • 2022
  • This study is based on social needs for green healing spaces assumed to enhance mental health in a city. This study proposes development directions through the analysis of modern social recognition factors for neighborhood gardens. As a research method, web information data was collected using Textom among big data tools. Text Mining was conducted to extract elements and analyze their relationship through keyword analysis, network analysis, and cluster analysis. As a result, first, the healing space and the healing environment were creating an eco-friendly healthy environment in a space close to the neighborhood within the city. Second, neighborhood gardens included projects and activities that involved government, local administration, and citizens by linking facilities as well as living culture and urban environments. These gardens have been reinforced through green welfare and service programs. In conclusion, friendly gardens in the neighborhood for the purpose of public interest, which are beneficial to mental health, are green infrastructures as a healing environment that can produce positive effects.

Development and Application of Evaluation System for Disaster Prevention Ability of Urban Parks (도시공원 방재기능 평가체계 개발 및 적용)

  • Huang, Zhirui;Lee, Ai Ran
    • Ecology and Resilient Infrastructure
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    • v.7 no.3
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    • pp.199-207
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    • 2020
  • Against the backdrop of frequent weather disasters such as floods, droughts, and heat waves worldwide, urban parks should provide functions for the safety of urban residents as well as rest, culture, and ecological functions. In this study, a classification system for urban disaster prevention parks is proposed for the safety of the urbanites with the aim of securing a complex function in a green space in response to climate changes in the city. Analytical indicators were extracted through literature research, and the classification system was verified through on-site surveys of the target sites and interviews with those involved. The large class for evaluation was divided into three types: location, spatial composition, and disaster prevention complex facilities of urban parks; the direction of improvement was proposed for problems identified through empirical analysis.

The Impact of Access to Cooperatives on Households' Income: An Empirical Study in Vietnam

  • VUONG, Quoc Duy;TRAN, Viet Thanh Truc;DANG, Quang Vang;MAI, Van Nam
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.12
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    • pp.51-61
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    • 2021
  • If one is looking for an organization that will be responsive to community needs, stimulate economic growth, and raise people's income, cooperatives should be an obvious choice (Calkins & Ngo, 2005; Larocque et al., 2002). This paper investigates whether the households' income is affected by the access to cooperatives for the case of Phong Dien district, Can Tho city of Vietnam. Data used are directly collected from 250 households that are both participating (120 observations) and not participating in the cooperatives in Truong Long, Tan Thoi, Nhon Ai and Nhon Nghia communes. By using the Probit model, the findings show that there are three statistically significant factors affecting the ability of farm households to participate in the cooperatives at the 1 percent level including land area, distance to market center, and education level. In addition, the PSM model analysis suggests that the average income of cooperative members is significantly higher than that of non-members, about 40.880 million VND/year at the significance level of 1 percent. The empirical results imply that being a cooperative member is a significant contributory factor toward an increase in household income. Based on the research findings, several recommendations to improve the households' income are proposed.

Validation of Semantic Segmentation Dataset for Autonomous Driving (승용자율주행을 위한 의미론적 분할 데이터셋 유효성 검증)

  • Gwak, Seoku;Na, Hoyong;Kim, Kyeong Su;Song, EunJi;Jeong, Seyoung;Lee, Kyewon;Jeong, Jihyun;Hwang, Sung-Ho
    • Journal of Drive and Control
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    • v.19 no.4
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    • pp.104-109
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    • 2022
  • For autonomous driving research using AI, datasets collected from road environments play an important role. In other countries, various datasets such as CityScapes, A2D2, and BDD have already been released, but datasets suitable for the domestic road environment still need to be provided. This paper analyzed and verified the dataset reflecting the Korean driving environment. In order to verify the training dataset, the class imbalance was confirmed by comparing the number of pixels and instances of the dataset. A similar A2D2 dataset was trained with the same deep learning model, ConvNeXt, to compare and verify the constructed dataset. IoU was compared for the same class between two datasets with ConvNeXt and mIoU was compared. In this paper, it was confirmed that the collected dataset reflecting the driving environment of Korea is suitable for learning.

A Study on Take-off and Landing Experimental System for Development of Power Platforms for Electric Vertical Take-Off and Landing Air Mobility (전기 수직이착륙 항공모빌리티용 동력플랫폼 개발을 위한 이착륙 실험시스템 연구)

  • Jun-Seong, Weon;Kwang-Hyun Ro
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_2
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    • pp.639-648
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    • 2023
  • In modern society, UAM (Urban Air Mobility) transportation system is being developed as an alternative to urban traffic congestion and environmental problems, and electric vertical take-off and landing (eVTOL) is a combination of vertical take-off and landing function and electric power. It is attracting attention as an innovative next-generation transportation method as an eco-friendly alternative that reduces noise and air pollution by providing efficient mobility within the city. Since eVTOL development requires designing and implementing airframes suitable for various mission purposes, the power system needs to be developed as a platform concept before airframe development. In this study, we empirically proposed a test bench concept equipped with a stable power supply and an efficient control system, essential in developing a power platform with a combined function in the form of a fuselage and module type specialized for various mission purposes. The proposed drivetrain platform test bench consists of a system verifying the stable take-off and landing software and a power platform adjusting the motor's thrust. It will serve as a verification system that can be developed.

Community Health Center Digital Transition (마을 건강센터 디지털 전환)

  • Han, Jeong-won;Han, June-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.514-516
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    • 2022
  • Busan Metropolitan City runs Community Health Center which aims to health care service based on the community, besides the established health medical service towards people with low-income. 71 centers are run in 2021, therefore, this papear explores the way of digital transition of these centers. Digital Technologies possibly adopted inside the centers are: First, smart devices to advance the management system of chronical diseases based on health index; Second, IoT with mobile tech to manage health index; Third, AI Robot to care lone elderly people and to warn the emergency.

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Facial Manipulation Detection with Transformer-based Discriminative Features Learning Vision (트랜스포머 기반 판별 특징 학습 비전을 통한 얼굴 조작 감지)

  • Van-Nhan Tran;Minsu Kim;Philjoo Choi;Suk-Hwan Lee;Hoanh-Su Le;Ki-Ryong Kwon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.540-542
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    • 2023
  • Due to the serious issues posed by facial manipulation technologies, many researchers are becoming increasingly interested in the identification of face forgeries. The majority of existing face forgery detection methods leverage powerful data adaptation ability of neural network to derive distinguishing traits. These deep learning-based detection methods frequently treat the detection of fake faces as a binary classification problem and employ softmax loss to track CNN network training. However, acquired traits observed by softmax loss are insufficient for discriminating. To get over these limitations, in this study, we introduce a novel discriminative feature learning based on Vision Transformer architecture. Additionally, a separation-center loss is created to simply compress intra-class variation of original faces while enhancing inter-class differences in the embedding space.

A Study on Activation Plan for Logistics Startups in Korea - Focused on Incheon Metropolitan City (물류 스타트업 육성방안에 관한 연구 -인천광역시를 중심으로-)

  • Dong-Joon Kang;Myeong-Hwa Lee;Hyo-Won Kang
    • Korea Trade Review
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    • v.46 no.2
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    • pp.263-280
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    • 2021
  • With the advent of the era of the 4th Industrial Revolution, various support policies and programs are being introduced as the promotion of startups related to the 4th industry is promoted as a core policy of the government. Based on major technologies such as Artificial Intelligence(AI), Big Data, Internet of Things(IoT), Blockchain, and Automation leading the 4th industrial revolution, logistics and distribution companies are expanding the range of markets and services provided. The purpose of this study is to examine the current status of startups in the logistics field based on major technologies of the 4th Industrial Revolution, which are rapidly growing at home and abroad, and suggest implications for revitalizing logistics startups through a policy demand survey. As a result of the study, in order to foster domestic logistics startups, we propose policy support for integration of logistics startups, integrated management of information, provision of physical space, network platform, and practical education and mentoring.