• Title/Summary/Keyword: Smart Growth

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Progress in Smart Tourism 2010-2017: A Systematic Literature Review

  • Lee, Pam;Zach, Florian J.;Chung, Namho
    • Journal of Smart Tourism
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    • v.1 no.1
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    • pp.19-30
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    • 2021
  • Smart tourism technologies are becoming ever more pervasive and an increasing number of destinations and hospitality establishments are investing in smart tourism initiatives. However, while governments and businesses around the world are aggressively pushing the smart tourism agenda forward, smart tourism research initiatives are still in their infancy and seem to not fully cover the whole spectrum of smart tourism-related issues and questions. This paper conducts a systematic review of existing smart tourism literature to determine the status quo of smart tourism research and to identify research gaps. Considering the steep growth of smart tourism initiatives starting at the beginning of this decade, this paper reviews publications on smart tourism over the last 8 years. All publications for which the keyword "smart tourism" appears in the title, keywords or abstract were included in the sample.

Growth Characteristics of Hydroponically Grown Melon according to Volume of Granular Rockwool and Substrates of Coir and Rockwool (입상 암면 용량과 코이어 및 암면 배지 종류에 따른 수경재배 멜론의 생육 특성)

  • Dae Ho Jung;Su Hwan Oh;Da Mi Kim;Su Oh Lee;Chul Hee Cho;Hye Won Cho;Chul Kyoo Ha;Hyun-Ah Lee
    • Journal of Bio-Environment Control
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    • v.32 no.1
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    • pp.72-80
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    • 2023
  • Melons, a rich source of vitamins and fibers, are commonly grown in the soil. Hydroponic cultivation could improve yield and quality of melon and selection of substrate volume and the kind of substrates is important for hydroponic cultivation of melons. This study investigated the effect on melon growth according to volume of granular rockwool and substrates of coir and rockwool slab. 'Geumsegye' melon (Cucumis melo L. cv. Geumsegye) was cultivated hydroponically according to volume of granular rockwool to 1.0, 1.5, 2.0, 3.0, and 4.0 L, and was also cultivated using coir and rockwool slabs. Logistic model was applied to estimate the growth characteristics of melons such as plant height, leaf length, leaf width, and the characteristics of fruit. The growth characteristics of melons were significantly increased at 4.0 L compared to those grown of 1.0 L volume of on granular rockwool, and the results were the highest in coir and rockwool slabs. Melons grown in rockwool slabs showed the largest fruit fresh weight, fruit length, and fruit width. During hydroponic cultivation, growth characteristics of melon appropriate at the 4.0 L volume of granular rockwool, and the highest at coir and rockwool slabs. This study provides a basis for understanding the effect of root zone environment to the growth characteristics and fruit quality of non-netted melon.

Current Trend of Smart City Service Application in Korea (국내 스마트시티 서비스 적용 경향 분석)

  • Kim, Minju;Jung, Seunghyun
    • The Journal of the Korea Contents Association
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    • v.19 no.2
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    • pp.194-203
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    • 2019
  • Recently, it is emphasized that the approach towards the development of smart cities as a driving force of sustainable economic growth of the city. Governments and municipalities are expected to expand the support for the smart city industry promotion, as the needs for smart city technology and service development, and investment for smart city industry increases. In order to promote the smart city policy as the driving force for the growth, it is necessary to understand the tendency of service development and its application. Governments and municipalities need a credible reference for their decision making on which smart city policy should be prioritized for the revitalization of the local economy by deploying certain smart city services according to the local industrial conditions. This study will analyze the trends of smart city services and suggest a reference data for decision making for the promotion of smart city industry.

Cybersecurity Threats and Countermeasures of the Smart Home Ecosystem

  • Darem, Abdulbasit;Alhashmi, Asma A.;Jemal, H.A.
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.303-311
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    • 2022
  • The tremendous growth of the Internet of things is unbelievable. Many IoT devices have emerged on the market over the last decade. This has made our everyday life easier inside our homes. The technology used at home has changed significantly over the past several decades, leading to what is known today as the smart home. However, this growth has also brought new challenges to our home security and privacy. With the smart home becoming more mainstream, cybersecurity issues have become a fundamental concern. The smart home is an environment where heterogeneous devices and appliances are interconnected through the Internet of Things (IoT) to provide smart services to residents. These services include home climate control, energy management, video on demand, music on-demand, remote healthcare, remote control, and other similar services in a ubiquitous manner. Smart home devices can be controlled via the Internet using smartphones. However, connecting smart home appliances to wireless networks and the Internet makes individuals vulnerable to malicious attacks. Remote access within the same environment or over the Internet requires an effective access control mechanism. This paper intends to shed light on how smart home devices are working as well as the type of security and privacy threats of the smart home. It also illustrated the types of authentication methods that can be used with smart home devices. In addition, a comparison of Smart home IoT-based security protocols was presented along with a security countermeasure that can be used in a smart home environment. Finally, a few open problems were mentioned as future research directions for researchers.

Deep Learning for Weeds' Growth Point Detection based on U-Net

  • Arsa, Dewa Made Sri;Lee, Jonghoon;Won, Okjae;Kim, Hyongsuk
    • Smart Media Journal
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    • v.11 no.7
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    • pp.94-103
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    • 2022
  • Weeds bring disadvantages to crops since they can damage them, and a clean treatment with less pollution and contamination should be developed. Artificial intelligence gives new hope to agriculture to achieve smart farming. This study delivers an automated weeds growth point detection using deep learning. This study proposes a combination of semantic graphics for generating data annotation and U-Net with pre-trained deep learning as a backbone for locating the growth point of the weeds on the given field scene. The dataset was collected from an actual field. We measured the intersection over union, f1-score, precision, and recall to evaluate our method. Moreover, Mobilenet V2 was chosen as the backbone and compared with Resnet 34. The results showed that the proposed method was accurate enough to detect the growth point and handle the brightness variation. The best performance was achieved by Mobilenet V2 as a backbone with IoU 96.81%, precision 97.77%, recall 98.97%, and f1-score 97.30%.

Attitude Change Towards Self-Service Technology Adoption Using Latent Growth Modeling

  • Um, Taehyee;Chung, Namho
    • Journal of Smart Tourism
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    • v.2 no.3
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    • pp.5-15
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    • 2022
  • As the utilization of technology in the tourism field becomes familiar, it greatly impacts people's tourism activities. These changes could also affect the behavior of tourists during the pandemic. To investigate consumers' adaptation to the self-service technology (SST) environment during the coronavirus disease of 2019 (COVID-19) pandemic, we adopted a model of absorptive capacity as the main framework for empirical research. To track the social effects of COVID-19, consumers' behavioral intentions for four different points in time are collected. The analysis was conducted using latent growth and structural equation modeling. We set the organizational and environmental characteristics as the first step of the model, with assimilation and trust as a middle step. Intention to use a kiosk is placed at the final step as an exploit. Findings indicate that organizational characteristics and environmental characteristics positively influenced assimilation and trust, except for environmental characteristics. Consumers' assimilation in SST encourages immediate intention to use a kiosk. Consumers' trust in kiosks positively impacts both immediate and continuance intention to use a kiosk during COVID-19.

Suppression of Fusarium Wilt Caused by Fusarium oxysporum f. sp. lactucae and Growth Promotion on Lettuce Using Bacterial Isolates

  • Yadav, Dil Raj;Adhikari, Mahesh;Kim, Sang Woo;Kim, Hyun Seung;Lee, Youn Su
    • Journal of Microbiology and Biotechnology
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    • v.31 no.9
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    • pp.1241-1255
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    • 2021
  • This study was carried out to explore a non-chemical strategy for enhancing productivity by employing some antagonistic rhizobacteria. One hundred eighteen bacterial isolates were obtained from the rhizospheric zone of various crop fields of Gangwon-do, Korea, and screened for antifungal activity against Fusarium wilt (Fusarium oxysporum f. sp. lactucae) in lettuce crop under in vitro and in vivo conditions. In broth-based dual culture assay, fourteen bacterial isolates showed significant inhibition of mycelial growth of F. oxysporium f. sp. lactucae. All of the antagonistic isolates were further characterized for the antagonistic traits under in vitro conditions. The isolates were identified on the basis of biochemical characteristics and confirmed at their species level by 16S rRNA gene sequencing analysis. Arthrobacter sulfonivorans, Bacillus siamensis, Bacillus amyloliquefaciens, Pseudomonas proteolytica, four Paenibacillus peoriae strains, and Bacillus subtilis were identified from the biochemical characterization and 16S rRNA gene sequencing analysis. The isolates EN21 and EN23 showed significant decrease in disease severity on lettuce compared to infected control and other bacterial treatments under greenhouse conditions. Two bacterial isolates, EN4 and EN21, were evaluated to assess their disease reduction and growth promotion in lettuce in field conditions. The consortium of EN4 and EN21 showed significant enhancement of growth on lettuce by suppressing disease caused by F. oxysporum f. sp. lactucae respectively. This study clearly indicates that the promising isolates, EN4 (P. proteolytica) and EN21 (Bacillus siamensis), can be commercialized and used as biofertilizer and/or biopesticide for sustainable crop production.

The Cell Wall Integrity MAP Kinase Signaling Pathway Is Required for Development, Pathogenicity, and Stress Adaption of the Pepper Anthracnose Fungus Colletotrichum scovillei

  • Teng Fu;Sung Wook Kang;Yong-Won Song;Kyoung Su Kim
    • Mycobiology
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    • v.51 no.3
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    • pp.178-185
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    • 2023
  • The cell wall integrity (CWI) signaling pathway plays important roles in the dissemination and infection of several plant pathogenic fungi. However, its roles in the pepper fruit anthracnose fungus Colletotrichum scovillei remain uninvestigated. In this study, the major components of the CWI signaling pathway-CsMCK1 (MAPKKK), CsMKK1 (MAPKK), and CsMPS1 (MAPK)-were functionally characterized in C. scovillei via homology-dependent gene replacement. The ΔCsmck1, DCsmkk1, and ΔCsmps1 mutants showed impairments in fungal growth, conidiation, and tolerance to CWI and salt stresses. Moreover, ΔCsmck1, ΔCsmkk1, and ΔCsmps1 failed to develop anthracnose disease on pepper fruits due to defects in appressorium formation and invasive hyphae growth. These results suggest that CsMCK1, CsMKK1, and CsMPS1 play important roles in mycelial growth, conidiation, appressorium formation, plant infection, and stress adaption of C. scovillei. These findings will contribute to a better understanding of the roles of the CWI signaling pathway in the development of pepper fruit anthracnose disease.

Citizens' Perceptions of the Smart City Distribution Strategy and Its Impact on Quality of Life: A Generational Perspective

  • Yooncheong CHO;Jooyeol MAENG
    • Journal of Distribution Science
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    • v.22 no.4
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    • pp.115-126
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    • 2024
  • Purpose: This study aims to explore the citizens' perceptions of the smart city distribution strategy and its impact on quality of life, classifying generations into two groups: Generation X with Baby Boomers, and Millennials with Generation Z. This study formulated research questionsto explore how both generational groups perceive the impact of smart city experience, government's role, technology development, economic, social, and environmental factors, and institutional improvement on quality of life. Additionally, this study explored the influence of quality of life on city evaluation, life satisfaction, and the expected growth of the city. Research design, data and methodology: This study employed an online survey conducted by well-known research organization. This study utilized factor and regression analysis for data analysis. Results: This study revealed that the impact of smart city experience, technology development and social value on quality of life demonstrated significance in both generational groups. Additionally, the study identified significant results regarding the influence of quality of life on city evaluation, life satisfaction, and the expected growth of the city. Conclusions: The findings suggest that, for the development of smart cities, stakeholders should particularly consider economic value and environment aspects, as these factors ultimately impact on quality of life.