• Title/Summary/Keyword: SmartCity

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The link of U-City, Smart Learning and STEAM (유시티, 스마트러닝과 STEAM교육의 연계)

  • shin, Jung hyuck
    • Proceedings of the Korea Contents Association Conference
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    • 2015.05a
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    • pp.219-220
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    • 2015
  • 과거 수천 년의 역사를 통째로 바꾸어놓았던 산업혁명 이상의 거대한 변화가 가까운 미래에 인류를 기다리고 있고, 이에 세계각국은 융합인재양성에 주력하고 있다. 한국은 지난 20년 동안 인터넷 및 유비쿼터스 혁명을 거치며 스마트러닝과 유시티라는 훌륭한 솔루션과 인프라를 만들어냈으며, 이러한 발전의 연장선상에서 융합인재양성의 중요한 배경으로 이들을 활용해야만 한다. 미래를 위한 교육과 교육콘텐츠는 도시와 나라의 산업역량이 함께 융합되어 이루어져야한다.

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Operation of Sensor and Big data from Smart City CCTV System for Developing Security Technology (스마트시티를 위한 보안기술 개발용 관제시스템 센서 및 빅데이터 운영)

  • Lee, Sinjae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.379-380
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    • 2022
  • KAIST 캠퍼스 기반의 실습환경 구축을 위하여 캠퍼스 전체를 스마트시티 테스트베드로 사용하며 CCTV 네트워크 기반 모니터링/관제 시스템 구축, 교통, 방범, 가로등, CCTV, 교내 버스 등 인프라 통합 관제 및 보안 실습실 구축하고 교내 자율주행 기술 연구진과 실습 협력 추진을 통한 캠퍼스 기반의 실전 스마트 환경을 토대로 다각도의 보안 공격/방어 실습을 진행하고 지자체 및 컨소시엄 기업들과 산학협력 프로젝트를 진행하기 위하여 구축한 내용을 설명한다.

Smart Store in Smart City: The Development of Smart Trade Area Analysis System Based on Consumer Sentiments (Smart Store in Smart City: 소비자 감성기반 상권분석 시스템 개발)

  • Yoo, In-Jin;Seo, Bong-Goon;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.25-52
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    • 2018
  • This study performs social network analysis based on consumer sentiment related to a location in Seoul using data reflecting consumers' web search activities and emotional evaluations associated with commerce. The study focuses on large commercial districts in Seoul. In addition, to consider their various aspects, social network indexes were combined with the trading area's public data to verify factors affecting the area's sales. According to R square's change, We can see that the model has a little high R square value even though it includes only the district's public data represented by static data. However, the present study confirmed that the R square of the model combined with the network index derived from the social network analysis was even improved much more. A regression analysis of the trading area's public data showed that the five factors of 'number of market district,' 'residential area per person,' 'satisfaction of residential environment,' 'rate of change of trade,' and 'survival rate over 3 years' among twenty two variables. The study confirmed a significant influence on the sales of the trading area. According to the results, 'residential area per person' has the highest standardized beta value. Therefore, 'residential area per person' has the strongest influence on commercial sales. In addition, 'residential area per person,' 'number of market district,' and 'survival rate over 3 years' were found to have positive effects on the sales of all trading area. Thus, as the number of market districts in the trading area increases, residential area per person increases, and as the survival rate over 3 years of each store in the trading area increases, sales increase. On the other hand, 'satisfaction of residential environment' and 'rate of change of trade' were found to have a negative effect on sales. In the case of 'satisfaction of residential environment,' sales increase when the satisfaction level is low. Therefore, as consumer dissatisfaction with the residential environment increases, sales increase. The 'rate of change of trade' shows that sales increase with the decreasing acceleration of transaction frequency. According to the social network analysis, of the 25 regional trading areas in Seoul, Yangcheon-gu has the highest degree of connection. In other words, it has common sentiments with many other trading areas. On the other hand, Nowon-gu and Jungrang-gu have the lowest degree of connection. In other words, they have relatively distinct sentiments from other trading areas. The social network indexes used in the combination model are 'density of ego network,' 'degree centrality,' 'closeness centrality,' 'betweenness centrality,' and 'eigenvector centrality.' The combined model analysis confirmed that the degree centrality and eigenvector centrality of the social network index have a significant influence on sales and the highest influence in the model. 'Degree centrality' has a negative effect on the sales of the districts. This implies that sales decrease when holding various sentiments of other trading area, which conflicts with general social myths. However, this result can be interpreted to mean that if a trading area has low 'degree centrality,' it delivers unique and special sentiments to consumers. The findings of this study can also be interpreted to mean that sales can be increased if the trading area increases consumer recognition by forming a unique sentiment and city atmosphere that distinguish it from other trading areas. On the other hand, 'eigenvector centrality' has the greatest effect on sales in the combined model. In addition, the results confirmed a positive effect on sales. This finding shows that sales increase when a trading area is connected to others with stronger centrality than when it has common sentiments with others. This study can be used as an empirical basis for establishing and implementing a city and trading area strategy plan considering consumers' desired sentiments. In addition, we expect to provide entrepreneurs and potential entrepreneurs entering the trading area with sentiments possessed by those in the trading area and directions into the trading area considering the district-sentiment structure.

A Study on the Analysis of the Weak Areas of Taxi Service during Late Night Time (심야시간 대 택시 서비스 취약예상지역 분석 연구)

  • Song, Jaein;Kang, Min Hee;Cho, Yun Ji;Hwang, Kee yeon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.163-179
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    • 2020
  • With the expansion of platform-based taxi service, mobility and convenience of users are getting better. However, due to profitability problem, marginalized areas in the supply of the service are expected to appear. As such, this study analyzed spatial marginalization of taxi service caused by imbalance in supply and demand during the night-time when public transportation service is suspended. According to hot-spot analysis of taxi, outskirt of a city and residential areas showed high vacancy and greater number of drop-offs compared to the number of pick-ups. On the contrary, they were confirmed low in the center and sub-centers of a city. Centrality analysis also showed a similar pattern with hot-spot analysis. Due to this, drivers may refuse to pick up a customer bound for an area with lower out-degree centrality compared to in-degree centrality as it might be difficult for the drivers to pick up another customer after dropping off the current customer. Thus, customers may need to wait for a taxi for a longer time. For this reason, improvement in spatial marginalization caused by mismatch of supply and demand is required. Also, the outcome of this study is expected to be utilized as a basic data.

Bayesian ballast damage detection utilizing a modified evolutionary algorithm

  • Hu, Qin;Lam, Heung Fai;Zhu, Hong Ping;Alabi, Stephen Adeyemi
    • Smart Structures and Systems
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    • v.21 no.4
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    • pp.435-448
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    • 2018
  • This paper reports the development of a theoretically rigorous method for permanent way engineers to assess the condition of railway ballast under a concrete sleeper with the potential to be extended to a smart system for long-term health monitoring of railway ballast. Owing to the uncertainties induced by the problems of modeling error and measurement noise, the Bayesian approach was followed in the development. After the selection of the most plausible model class for describing the damage status of the rail-sleeper-ballast system, Bayesian model updating is adopted to calculate the posterior PDF of the ballast stiffness at various regions under the sleeper. An obvious drop in ballast stiffness at a region under the sleeper is an evidence of ballast damage. In model updating, the model that can minimize the discrepancy between the measured and model-predicted modal parameters can be considered as the most probable model for calculating the posterior PDF under the Bayesian framework. To address the problems of non-uniqueness and local minima in the model updating process, a two-stage hybrid optimization method was developed. The modified evolutionary algorithm was developed in the first stage to identify the important regions in the parameter space and resulting in a set of initial trials for deterministic optimization to locate all most probable models in the second stage. The proposed methodology was numerically and experimentally verified. Using the identified model, a series of comprehensive numerical case studies was carried out to investigate the effects of data quantity and quality on the results of ballast damage detection. Difficulties to be overcome before the proposed method can be extended to a long-term ballast monitoring system are discussed in the conclusion.

Strategy of Market Spread-Commercialization in EVs Industry : Visegrad and Nordic Countries (EVs 산업의 시장파급과 상용화의 전략비교 : 비셰그라드 그룹과 북유럽 협의체와의 산업역량중심으로)

  • Seo, Dae-Sung
    • The Journal of Industrial Distribution & Business
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    • v.9 no.3
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    • pp.57-68
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    • 2018
  • Purpose - The purpose of this study is to classify that the quality factors for comparing the Visegrard Group with the Nordic Council have historical similarities against Germany and the Soviet Union. However, this is because in the integrated European market, the competitiveness possessed by the two groups of countries is invested in the priority order to grow. Research design, data, and methodology - The study was conducted on the research design, and the reason for trying to compare the competence of the automobile industry in the assessment of industrial capability is that the Visegrard Group focuses on automotive production and the Nordic Association focuses on the commercialization of the automobile(market). In this study, searching and quantifying indirect evidence was made through standards are more complementary in Europe since each country acts like the role of the European automotive industry for example, which is different from the realistic evaluation criteria, are more important than those of the United States(first in the world) or Germany(first in Europe). Results - The results of this study are as follows: In the global EV market U.S.(export: $ 2.62 billion /share: 36.7%), Germany($ 1.29 billion /18.1%), France($ 390 million /5.4%), United Kingdom($ 380 million /5.4%), and South Korea($ 320 million/ 4.4%). South Korea's share of the EV market is 4.4%, while TSI reaches at +0.9 which measures the comparative advantage of a specific commodity in the world trade market. There is great potential for evaluated as products processing in export competition. But, commercialization, standardization, and overall market expansion did not have a positive impact on global satisfaction. Conclusions - EVs put importance on various utilities. So this suggests that Korea's exports to the EU, including the Visegrard Group, should be more focused on marketability when illuminating with a sharing industrial system under the European Union. It is necessary to specialize in manufacturing and commercialization by country(region) to prepare sharing economy and blockchain in order to create a smart-sharing city linked on artificial intelligence, as the commercialization of electric vehicles, which will have a larger growth rate than that of manufacturing in the fourth revolutionary era.

Energy Entropy based Multipath Routing Protocol using Dynamic Forwarding Range in Mobile Ad-hoc Wireless Sensor Networks (모바일 애드혹 무선 센서 네트워크에서 동적 전송범위를 사용한 에너지 엔트로피 기반 다중경로 라우팅 프로토콜)

  • Shim, Kyuhyun;Shim, Kyusung;Nam, Sangyep;An, Beongku
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.2
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    • pp.68-75
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    • 2017
  • In this paper, we propose an energy entropy based multipath routing protocol using dynamic forwarding range in mobile ad-hoc wireless sensor networks. The main features and contributions of the proposed routing protocol are as follows. First, can select stable routing routes by using the calculated route entropy based on energy information of sensor nodes. Second, using dynamic forwarding range based on the route stability of route entropy can reduce energy, control overhead, delay for route establishment, finally improve data transmission efficiency. The performance evaluation using OPNET shows that the proposed routing protocol can efficiently support PDR.

Evaluation of the Groutability through Microcrack and Viscosity Measurement Methods for Grouting Materials (미세균열 그라우팅 주입성능 및 재료의 점도 측정방법 평가)

  • Jin, Hyun-Woo;Ryu, Byung-Hyun;Lee, Jang-Guen
    • Journal of the Korean Geotechnical Society
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    • v.33 no.9
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    • pp.23-34
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    • 2017
  • In order to develop urban underground spaces, even microcracks should be reinforced. In this paper, the grouting injection performance for microcracks was investigated considering the viscosity and particle size of the grouting materials, injection pressure, and crack width. There are two types of typical grouting materials used for filling micro-cracks. One is a chemical liquid grouting material which is a solution type and the other is a cementitious grouting material which is a suspension type. The injection performance of the grouting materials for microcracks is generally influenced by the viscosity, and the injection performance of the cementitious grouting material is additionally affected by the particle size. From laboratory tests, the viscosity was calculated inversely to provide a suitable viscosity measurement method for each grouting material. The groutability ratio based on the relationship between the crack width and the particle size was evaluated to estimate the grouting feasibility of the cementitous grouting material through microcracks.

A Study on the Development of Public Digital Signage Services (공공 디지털 사이니지 서비스 개발 연구)

  • Ahn, SungHee
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.185-196
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    • 2021
  • This study is based on the 'National Pilot Project on Digital Signage in Sejong Special City', one of the pilot projects initiated by the Ministry of Public Administration and Security. This project was an attempt to present the digital signage as a 'public service content platform' integrated with smart technologies. This study suggests that the planning strategy for placing public service contents on digital signage platform should focus on interests of local communities or users rather than high-tech suppliers of digital signage. In consideration of growing needs for smart technology-based public service, this study concentrates on the strategy for developing 'public digital signage services'. In addition, 'digital signage service tools' were designed to easily establish or execute the strategy. The aim of this study is developing the strategy to make digital signage a public cultural service platform as well as a digital advertisement tool. The final goal of this study is to demonstrate public value creation performance of the 'Revitalisation Project of Sejong City's Commercial Districts', which was possible thanks to the proactive involvement of citizens coupled with progressive utilization of interactive media.

Implications from Shipbuilding Industry Failure Case (조선산업 실패 사례를 통해서 본 시사점)

  • Park, Hui-Yo;Han, Jeoung-Hee
    • Journal of Industrial Convergence
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    • v.14 no.2
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    • pp.33-38
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    • 2016
  • The Korean shipbuilding industry, which started in the 1970s with the advance of three shipbuilding companies, has been ranked as the world's largest and most successful model of the heavy and heavy chemical industry in the world since the 1990s, and has become a driving force for Korea's economic growth for several decades, including job creation and trade surplus. The domestic shipbuilding industry has won a lot of orders in favorable market environment, expanded facilities and manpower, built many ships and delivered them to shipowners, earning a lot of foreign currency and creating a 'successful myth.' However, when the global economic crisis broke out in 2008, shipbuilding in Chosun was stagnant and shipbuilding orders sharply decreased.As the facility and manpower increased in the boom period, the economy and the facilities become overcrowded as a result of the crisis, signs of a crisis in 2013 begin to appear. In 2015, three major Korean shipbuilders lost more than 6 trillion won in operating losses. Now, Korea's shipbuilding industry is facing a crisis such as massive insolvency and restructuring. Would not it have been possible to prevent the loss and restructuring of a trillion won if we recognized the recession of the global economy and understood the appropriate timing of technological innovation and prepared countermeasures against the crisis? Therefore, we analyze trends and trends of global shipbuilding industry such as Europe, China, and Japan in the competition structure of the shipbuilding industry and identify the problems of our shipbuilding industry and suggest suggestions.

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