• Asian Journal of Business Environment
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• v.14 no.2
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• pp.1-10
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• 2024

Purpose: The purpose of this study is to investigate the essential factors contributing to the growth and success of smart cities, providing a comprehensive analysis of key elements that are crucial in fostering the development of smart cities. This study explored the impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on overall attitudes towards smart cities. Additionally, the study examined the impact of overall attitude on the growth trajectory of the smart cities and satisfaction. 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 unveiled significant impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on the overall attitudes. Furthermore, it demonstrated that the overall attitude significantly influences the growth trajectory of smart cities. Conclusions: This study identified key driving factors for smart city development, suggesting that the consideration of sustainable urban practices emerges as the most significant factor influencing the growth of the smart cities.

• Journal of the Society of Disaster Information
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• v.16 no.2
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• pp.291-298
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• 2020

Purpose: The purpose of this study is to suggest a smart city strategy through smart growth considering the human, social and cultural meaning. It seeks opportunities to develop the cities that has not grown by integrating the ICT, a new growth tool for smart cities, into the spatial and physical renewal project. Method: Analyzing policy and strategy of smart living lab and digital cultural contents on the smart growth process under the experience in Amsterdam and Paris. Results: Smart city is expected to be reflected not only the technical aspects but the social characteristics of the city in order to enhance the living environment of the citizens by embracing diverse viewpoints throughout the city. It examines the smart growth plan in the improvement of the living conditions of the citizens. Conclusion: Planning smart city is to discover the smart city adaptability that can enhance the capability of cities to improve the life condition and quality of citizens by applying the core strategies and specialized programs with community service and urban marketing, which are emerging as smart cities based on ICT technologies.

• Journal of People, Plants, and Environment
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• v.23 no.6
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• pp.655-665
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• 2020

Background and objective: This study was conducted to compare the cultivation environment, growth of cut flowers, and management performance of conventional farms and smart farms growing the standard cut chrysanthemum, 'Jinba'. Methods: Conventional and smart farms were selected, and facility information, cultivation environment, cut flower growth, and management performance were investigated. Results: The conventional and smart farms were located in Muan, Jeollanam-do, and conventional farming involved cultivating with soil culture in a plastic greenhouse, while the smart farm was cultivating with hydroponics in a plastic greenhouse. The conventional farm did not have sensors for environmental measurement such as light intensity and temperature and pH and EC sensors for fertigation, and all systems, including roof window, side window, thermal screen, and shading curtain, were operated manually. On the other hand, the smart farm was equipped with sensors for measuring the environment and nutrient solution, and was automatically controlled. The day and night mean temperatures, relative humidity, and solar radiation in the facilities of the conventional and the smart farm were managed similarly. But in the floral differentiation stage, the floral differentiation was delayed, as the night temperature of conventional farm was managed as low as 17.7℃ which was lower than smart farm. Accordingly, the harvest of cut flowers by the conventional farm was delayed to 35 days later than that of the smart farm. Also, soil moisture and EC of the conventional farm were unnecessarily kept higher than those of the smart farm in the early growth stage, and then were maintained relatively low during the period after floral differentiation, when a lot of water and nutrients were required. Therefore, growth of cut flower, cut flower length, number of leaves, flower diameter, and weight were poorer in the conventional farm than in the smart farm. In terms of management performance, yield and sales price were 10% and 38% higher for the smart farm than for the conventional farm, respectively. Also, the net income was 2,298 thousand won more for the smart farm than for the conventional farm. Conclusion: It was suggested that the improved growth of cut flowers and high management performance of the smart farm were due to precise environment management for growth by the automatic control and sensor.

• Advances in Energy Research
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• v.7 no.2
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• pp.135-146
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• 2020

In developing countries especially in African continent, rapid population growth in cities is a major concern. Majority of governments in Africa have made more effort to develop urban areas as compared to the rural ones. Social and economic activities are more concentrated in urban areas. This is a pushing factor for the rapid population growth in cities as many people, especially young generation, tend to migrate from rural to urban. This growth leads to excessive exploitation of natural resources, environmental degradation and increased pressure on social services. Rapid increased population acts as an encouragement to construct smart cities for achieving needs for present and future generations. Tanzania as one of the developing countries in Africa has taken initiatives in establishing smart cities. The aim of this study therefore, is to examine opportunities and challenges in the development of Smart cities in Tanzania with a case study of Mbeya city. In addition, conceptualization about development of smart cities is proposed to prioritize the planning of smart grid among other smart city infrastructure systems. Conclusively, Mbeya city has a full potential of many strengths and opportunities for successful development as a smart city.

• Journal of the Korean Geographical Society
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• v.43 no.1
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• pp.52-70
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• 2008

Using MD Property View database on 15 counties in Maryland in the U.S., this study attempts to explore the estimation process on the housing development capacity under the Maryland's urban growth management policy known as the Smart Growth Initiatives. This study also seeks to draw the implications of the estimated development capacity by individual counties on successful implementation of the urban growth management policy. The finding shows that this region has land for residential use enough to accommodate growth for the next 30 years. However, contrary to the goal of the Smart Growth Initiatives, a majority of development capacity is located not only outside the Priority Funding Area designated by the Smart Growth Initiatives but also at counties that are located far away from the major metropolitan area. In addressing this problem, the state does not need to either abolish or immediately expand the Priority Funding Area. Rather, the state requires local governments to include housing elements in their comprehensive planning, to provide periodic estimates on housing and employment capacity, and to establish and manage database on the location and the capacity of developable land.

• Journal of Environmental Policy
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• v.5 no.1
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• pp.71-97
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• 2006

This paper explores the history of environmental movements and policymaking in the city of Austin, TX and addresses the most recent element of the city's environmental policy, the Smart Growth Initiative. Austin's intense growth over the last 35 years has increased a growing awareness of environmental impacts by humans. The Austin municipal government has tried to adopt environmental measures and various policy initiatives ranging from comprehensive plans to its latest Smart Growth Initiative. The long history of comprehensive planning and watershed protection ordinances indicate that while environmental issues have continually presented as priority issues, it has failed to integrate as a part of the municipal government. This shows that the efforts of political actors have not been sufficient to sustain progressive environmental regimes with environmental issues despite the initial motivation of the state.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.113-120
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• 2023

Smart farms are steadily increasing in research to minimize labor, energy, and quantity put into crops as IoT technology and artificial intelligence technology are combined. However, research on efficiently managing crop growth information in smart farms has been insufficient to date. In this paper, we propose a management technique that can efficiently monitor crop growth information by applying autonomous sensors to smart farms. The proposed technique focuses on collecting crop growth information through autonomous sensors and then recycling the growth information to crop cultivation. In particular, the proposed technique allocates crop growth information to one slot and then weights each crop to perform load balancing, minimizing interference between crop growth information. In addition, when processing crop growth information in four stages (sensing detection stage, sensing transmission stage, application processing stage, data management stage, etc.), the proposed technique computerizes important crop management points in real time, so an immediate warning system works outside of the management criteria. As a result of the performance evaluation, the accuracy of the autonomous sensor was improved by 22.9% on average compared to the existing technique, and the efficiency was improved by 16.4% on average compared to the existing technique.

• The Plant Pathology Journal
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• v.37 no.3
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• pp.307-314
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• 2021

Pepper (Capsicum annuum L.) is an important agricultural crop worldwide. Recently, Colletotrichum scovillei, a member of the C. acutatum species complex, was reported to be the dominant pathogen causing pepper anthracnose disease in South Korea. In the present study, we isolated bacterial strains from rhizosphere soil in a pepper field in Gangwon Province, Korea, and assessed their antifungal ability against C. scovillei strain KC05. Among these strains, a strain named BS1 significantly inhibited mycelial growth, appressorium formation, and disease development of C. scovillei. By combined sequence analysis using 16S rRNA and partial gyrA sequences, strain BS1 was identified as Bacillus velezensis, a member of the B. subtilis species complex. BS1 produced hydrolytic enzymes (cellulase and protease) and iron-chelating siderophores. It also promoted chili pepper (cv. Nockwang) seedling growth compared with untreated plants. The study concluded that B. velezensis BS1 has good potential as a biocontrol agent of anthracnose disease in chili pepper caused by C. scovillei.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2259-2277
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• 2023

We propose a probabilistic fish growth model for smart aquaculture systems equipped with IoT sensors that monitor the ecological environment. As IoT sensors permeate into smart aquaculture systems, environmental data such as oxygen level and temperature are collected frequently and automatically. However, there still exists data on fish weight, tank allocation, and other factors that are collected less frequently and manually by human workers due to technological limitations. Unlike sensor data, human-collected data are hard to obtain and are prone to poor quality due to missing data and reading errors. In a situation where different types of data are mixed, it becomes challenging to develop an effective fish growth model. This study explores the unique characteristics of such a combined environmental and weight dataset. To address these characteristics, we develop a preprocessing method and a probabilistic fish growth model using mixed data sampling (MIDAS) and overlapping mixtures of Gaussian processes (OMGP). We modify the OMGP to be applicable to prediction by setting a proper prior distribution that utilizes the characteristic that the ratio of fish groups does not significantly change as they grow. We conduct a numerical study using the eel dataset collected from a real smart aquaculture system, which reveals the promising performance of our model.

• Journal of Electrical Engineering and Technology
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• v.9 no.6
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• pp.1851-1863
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• 2014

Many countries are increasing their investments in smart grid technology to enhance energy efficiency, address climate change, and trigger a green energy revolution. In addition to these goals, Korea also seeks to promote national competitiveness, prepare for the growth of the renewable energy industry, and export industrialization through its strategic promotion of the smart grid. Given its inherent representativeness for Korean implementation of the smart grid and its growth potential, Jeju Island was selected by the Korean government as the site for smart grid testing in June 2009. This paper presents a new design for the electricity market and an operational scheme for testing Smart Electricity Services in the Jeju smart grid demonstration project. The Jeju smart grid test-bed electricity market is constructed on the basis of day-ahead and real-time markets to provide two-way electricity transaction environments. The experience of the test-bed market operation shows that the competitive electricity market can facilitate the smart grid deployment in Korea by allowing various demand side resources to be active market players.