• 제목/요약/키워드: smart growth

검색결과 844건 처리시간 0.024초

아두이노를 활용한 스마트 식물 재배기 구현 (Implementation of The Smart Plant Growth Chamber with Arduino)

  • 임유리;임은별;김태우
    • 사물인터넷융복합논문지
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    • 제2권2호
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    • pp.27-36
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    • 2016
  • 요즘 많은 사람들이 건강한 식생활에 관심이 많다. 건강한 식생활을 위해 유기농 야채를 구입하거나 직접 기르기를 원한다. 하지만 신선한 채소를 직접 기르기에는 많은 어려움이 따른다. 본 연구에서는 가정에서 직접 식물을 재배하는 스마트 식물재배기를 제안한다. 본 스마트 식물재배기는 사용자가 자세한 식물 생장 환경에 대해 알 필요가 없으며, 최소한의 노력으로 최적의 환경에서 식물을 재배할 수 있도록 한다. 또한, 스마트 식물재배기의 온라인 활동을 통하여 식물재배의 재미를 느낄 수 있으며, 건강한 식생활에 이바지할 것으로 사료된다.

기상 및 환경 센서 데이터 기반 생육 환경 최적화 연구 (Optimization of Growth Environments Based on Meteorological and Environmental Sensor Data)

  • 전숙례;이진흥;김성억;박정환
    • 센서학회지
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    • 제33권4호
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    • pp.230-236
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    • 2024
  • This study aimed to analyze the environmental factors affecting tomato growth by examining the correlation between weather and growth environment sensor data from P Smart Farm located in Gwangseok-myeon, Nonsan-si, Chungcheongnam-do. Key environmental variables such as the temperature, humidity, sunlight hours, solar radiation, and daily light integral (DLI) significantly affect tomato growth. The optimal temperature and DLI conditions play crucial roles in enhancing tomato growth and the photosynthetic efficiency. In this study, we developed a model to correct and predict the time-series variations in internal environmental sensor data using external weather sensor data. A linear regression analysis model was employed to estimate the external temperature variations and internal DLI values of P Smart Farm. Then, regression equations were derived based on these data. The analysis verified that the estimated variations in external temperature and internal DLI are explained effectively by the regression models. In this research, we analyzed and monitored smart-farm growth environment data based on weather sensor data. Thereby, we obtained an optimized model for the temperature and light conditions crucial for tomato growth. Additionally, the study emphasizes the importance of sensor-based data analysis in dynamically adjusting the tomato growth environment according to the variations in weather and growth conditions. The observations of this study indicate that analytical solutions using public weather data can provide data-driven operational experiences and productivity improvements for small- and medium-sized facility farms that cannot afford expensive sensors.

저탄소 녹색성장을 위한 스마트그리드의 확산전략: 근거이론 접근법 (Strategies of Diffusing Smart Grids for Low-carbon Green Growth: Grounded Theory Approach)

  • 주재훈;김련화
    • 한국정보시스템학회지:정보시스템연구
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    • 제22권1호
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    • pp.225-248
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    • 2013
  • Korean government has been implementing a smart grid testbed in Jeju Island for the low-carbon green growth. As smart grids are in the early stage of their diffusion, strategic guidelines and related measures are needed to spread them successfully. In general, the successful diffusion of new technologies or new products are mostly determined in its early stages. With the introduction of smart grids, the electricity market paradigm will be transformed into user-oriented from provider-oriented. Thus, a study on the diffusion of smart grids from the perspective of users is necessary. This paper examines factors affecting the adoption and diffusion of smart grids from users' perspectives and provide strategic guidelines for diffusing the smart grid. Researchers conducted in-depth interviews with 41 people who have been already using smart grids in the Jeju testbed. Semi-structured interviews were used to collect data. The interviews were recorded on a digital voice recorder memory and subsequently transcribed verbatim. A total of 133 pages of transcripts were obtained from about 10 hours interviews. 97 concepts, 47 sub-categories and 19 categories were identified through open coding of grounded theory. We suggested a paradigm model for diffusing smart grids and total of seven propositions as strategic guidelines.

스마트팜 도입 딸기농가의 생산효율성 통계분석 (Statistical analysis of Production Efficiency on the Strawberry Farms Using Smart Farming)

  • 최돈우;임청룡
    • 품질경영학회지
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    • 제46권3호
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    • pp.707-716
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    • 2018
  • Purpose: This study aims to analyze the management performance and production efficiency of strawberry farmers who introduced smart farming, one of the primary symbols of the fourth industrial revolution in the agricultural sector. Methods: We conducted an empirical survey of strawberry farms using smart farming and analyzed production efficiency using DEA method. Results: First, difficulties for strawberry farmers introducing smart farming included time and money spent on parts replacement and additional costs due to compatibility problems with existing facilities after the adoption. Second, strawberry farmers using smart farming increased their total income by producing higher yield and improving quality thanks to the competent growth management. Third, the analysis of production efficiencies before and after smart farming found improvement in technical efficiency, pure technical efficiency, and scale efficiency. But, the gaps in technical and scale efficiencies among the farms widened. Conclusion: Based on the results above, following policy suggestions are offered. First, an environment control technology suitable for strawberry farming needs to be developed. Second, the smart farming technology needs to be standardized by the government. Third, new smart farm models need to be developed to accommodate to the facilities and environment in Korea through collecting big data including high-quality data on the environment, growth, and yield. Fourth, continuing education needs to be provided to narrow the gap in smart farming technology among strawberry farmers.

Smart-City Development Management: Goals and Instruments

  • KALENYUK, Iryna;TSYMBAL, Liudmyla;UNINETS, Iryna
    • International Journal of Computer Science & Network Security
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    • 제22권1호
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    • pp.324-330
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    • 2022
  • At the present stage of the world economic development, a new economic system is being formed, in which non-economic values, in particular environmental and social parameters, have become widespread. A new vision of economic activity is being formed, which acquires the qualities of Smart-economy. The purpose of this paper is reveal the features of managing the development of smart cities as specific entities of the Smart-economy. New functions of economic entities are formed within the framework of the Smart-economy concept, while their role and weight in the localities' activity or formation have changed. Determining that the key trends in the Smart-economy development are such as digitalization, greening, socialization, institutionalization, and urbanization, this is necessary to note that all these trends are most active in the formation of urban ecosystems. These trends are determined by the general population growth and the urban population growth, which requires considerable attention to planning each city's development itself. Such planning could ensure the comfort of living for all its inhabitants, quality, safe, and modern life. The Smart-city's key elements and the intellectualized approach implementation planes to the decision of these or those tasks are definedIt is determined that a new ecosystem of governance is being formed.

The Study on the Efficiency of Smart Learning in the COVID-19

  • Kim, Seong-Kyu;Lee, Mi-Jung;Jang, Eun-Sill;Lee, Young-Eun
    • Journal of Multimedia Information System
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    • 제9권1호
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    • pp.51-60
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    • 2022
  • This paper raised the need to examine how the online education environment triggered by COVID-19 and the smart learning environment can be established in consideration of the improvement of education and learning through learning analysis. Many studies are being conducted in Korea, and the Ministry of Education is continuously striving to build a smart school by promoting strategies for promoting smart education on the way to a talent powerhouse. Nevertheless, there is no unified definition of smart learning, and it can be seen as customized (individualized) learning using smart devices. However, most of the discussions on the construction of smart schools so far have limitations in that they are limited to physical spaces. Accordingly, the opinions of teachers and learners were not sufficiently reflected in the establishment of the facility. This study intends to study smart learning in various departments. In addition, the subjects students in charge of the co-researcher of this study were analyzed. The total number of subjects was 951, and 434 responded to this study survey. In addition, students were well accepting the online environment, and in the future, regardless of COVID-19, research will be presented to improve mutual communication between professors and students in smart learning.

Growth Monitoring for Soybean Smart Water Management and Production Prediction Model Development

  • JinSil Choi;Kyunam An;Hosub An;Shin-Young Park;Dong-Kwan Kim
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.58-58
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    • 2022
  • With the development of advanced technology, automation of agricultural work is spreading. In association with the 4th industrial revolution-based technology, research on field smart farm technology is being actively conducted. A state-of-the-art unmanned automated agricultural production demonstration complex was established in Naju-si, Jeollanam-do. For the operation of the demonstration area platform, it is necessary to build a sophisticated, advanced, and intelligent field smart farming model. For the operation of the unmanned automated agricultural production demonstration area platform, we are building data on the growth of soybean for smart cultivated crops and conducting research to determine the optimal time for agricultural work. In order to operate an unmanned automation platform, data is collected to discover digital factors for water management immediately after planting, water management during the growing season, and determination of harvest time. A subsurface drip irrigation system was established for smart water management. Irrigation was carried out when the soil moisture was less than 20%. For effective water management, soil moisture was measured at the surface, 15cm, and 30cm depth. Vegetation indices were collected using drones to find key factors in soybean production prediction. In addition, major growth characteristics such as stem length, number of branches, number of nodes on the main stem, leaf area index, and dry weight were investigated. By discovering digital factors for effective decision-making through data construction, it is expected to greatly enhance the efficiency of the operation of the unmanned automated agricultural production demonstration area.

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Smart City Marketing Strategy: Transformative Endeavor

  • Yooncheong CHO
    • 동아시아경상학회지
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    • 제12권1호
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    • pp.13-22
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    • 2024
  • Purpose: The purpose of this study is to investigate impact of smart city awareness on citizen satisfaction and to measure various factors influencing smart city competitiveness that were rarely addressed in previous studies. For the impacts on the competitiveness of smart cities, this study explored the effects of data-driven service, economic impact, social trust through sharing, environmental protection, and sustainable growth. Research design, data and methodology: To collect data, this study employed an online survey conducted by a reputable research organization. Data analysis involved the use of factor analysis, ANOVA, and regression analysis. Results: This study identified key aspects important for enhancing citizen satisfaction. Furthermore, this research unveiled the significant impacts of data-driven service, economic impact, social trust through sharing, environmental protection, and sustainable growth on the competitiveness of smart cities. Conclusions: The results yield valuable managerial and policy implications. The study suggests that enhancing citizen satisfaction through improved awareness of the smart city is crucial for effective city marketing management. Additionally, the results highlight special aspects necessary to improve smart city competitiveness, including the implementation of promotional policies supported by the government, promoting global competitiveness for domestic companies, and fostering citizen participation for effective city marketing management.

Recent Trends on Smart City Security: A Comprehensive Overview

  • Hyuk-Jun, Kwon;Mikail Mohammed, Salim;Jong Hyuk, Park
    • Journal of Information Processing Systems
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    • 제19권1호
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    • pp.118-129
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    • 2023
  • The expansion of smart cities drives the growth of data generated from sensor devices, benefitting citizens with enhanced governance, intelligent decision-making, optimized and sustainable management of available resources. The exposure of user data during its collection from sensors, storage in databases, and processing by artificial intelligence-based solutions presents significant security and privacy challenges. In this paper, we investigate the various threats and attacks affecting the growth of future smart cities and discuss the available countermeasures using artificial intelligence and blockchain-based solutions. Open challenges in existing literature due to the lack of countermeasures against quantum-inspired attacks are discussed, focusing on postquantum security solutions for resource-constrained sensor devices. Additionally, we discuss future research and challenges for the growing smart city environment and suggest possible solutions.

항만수변도시 재생계획의 스마트 성장원칙 활용에 관한 연구 - 제주시 제주항을 중심으로 - (A Study on the Adaptation of Smart Growth Principles for the Port Waterfront city Regeneration Planning - Focused on the Jeju Port Center -)

  • 이생기;최용복
    • 한국지리정보학회지
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    • 제21권3호
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    • pp.149-161
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    • 2018
  • 항만수변도시 재생계획에 스마트 성장원칙을 적용하기 위해 도시계획요소와 성장원칙에 대한 연관성을 분석한 결과 적용 가능성이 높은 것으로 나타났다. 연관성 분석에서 도출된 스마트 성장원칙을 제주시 탑동 재생계획에 적용할 수 있는 디자인 가이드라인 요소는 ⯈ 걷기에 적합한 커뮤니티 조성, ⯈ 확실한 장소성을 가진 차별화되고 매력적인 커뮤니티 조성, ⯈ 오픈스페이스, 바닷가, 아름다운 자연경관, 환경적으로 중요한 지역보존, ⯈ 기존커뮤니티를 위한 개발 강화와 유도, ⯈ 교통수단선택의 다양성 제공 등이다. 이를 기반으로 제주항 재개발계획에는 ⯈ 복합적 토지 이용 ⯈ 고밀설계방식의 이점활용, ⯈ 다양한 주거기회와 선택권 제공 등을 실시 설계 시 적용할 것을 제안하였으며 통합적인 항만수변도시 재생계획 시 스마트 성장원칙을 적용할 필요성이 높은 것으로 조사되었다.