• The Journal of Industrial Distribution & Business
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• v.13 no.5
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• pp.1-14
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• 2022

Purpose: This study investigated the legal issues and policies on accommodation sharing based on qualitative research and examined how OECD societies establish laws and regulations to legalize accommodation sharing and prevent adverse effects. The purpose of this study is to contribute to the understanding of the different laws and regulations at both the country and city levels and to help better manage accommodation sharing in our society. The ultimate goal of this study is to enhance citizen understanding of platform businesses to minimize unnecessary conflicts. Research design, data and methodology: This study conducted a qualitative research by exploring laws and regulations in OECD countries. This study performed comparative analysis of accommodation sharing business' legislation, legal definitions, and operational policies that citizens should necessarily understand for better usage. Results: Local ordinances and regulations developed differently based on the situations of local markets and communities, so they are established and improved at the city or country level. Conclusions: Each government should consider preparing better policy on accommodation sharing by considering how to secure the housing market for residents with better establishment of new platform businesses and relationships with citizens. This study suggests policy reactions to government as policymakers, guests, hosts, platforms, and communities.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.3
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• pp.139-150
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• 2015

The major components of IoT(Internet of Things) environment are IoT devices rather than the conventional desktop computers. One of the intrinsic characteristics of IoT devices is diversity in view of data type and data access method. In addition, IoT devices usually deal with real-time data. In order to use such IoT data for internal business or cloud services, an IoT platform capable of easy domain management and consistent data access interface is required. This paper proposes a Linux FUSE-based virtual file system connecting IoT devices on POSIX file system view. It is possible to manage IoT domain with the native Linux utilities such as mkdir, mknod, ls and find in the file system. Also, the file system makes it possible to access or control IoT devices through POSIX interface such as open(), read(), write() or close() without any separate APIs or utilities. A test result shows that the management performance of the file system is lower than that of linux file system negligibly.

• Journal of the Korean Data and Information Science Society
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• v.24 no.5
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• pp.1013-1027
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• 2013

As the need for large-scale data analysis is rapidly increasing, Hadoop, or the platform that realizes large-scale data processing, and MapReduce, or the internal computational model of Hadoop, are receiving great attention. This paper reviews the basic concepts of Hadoop and MapReduce necessary for data analysts who are familiar with statistical programming, through examples that combine the R programming language and Hadoop.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.139-149
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• 2020

New platform governments will play a role to pull intelligent information technology to drive new ecological government innovation and sustainable development in which the government and people work together. On this, in order to establish the platform of the platform government, we will look at recent research trends and lay the foundation for future policy directions and research bases. using Text Mining method, and went through Topic modeling for the collected text data and network analysis was conducted. According to the result, based on latent topic, the stronger the connection center, the weaker the relationship. Through this study, we hope that discussions will take place in a variety of ways to improve the understanding of the supply and demand approach of Korea's platform government and implement appropriate change management methods such as service public base and service provision in accordance with the value and potential topics of platform government.

• Journal of Korean Society for Quality Management
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• v.48 no.4
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• pp.581-596
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• 2020

Purpose: purpose of this study was to propose the web application platform which can be to detect and discriminate various diseases and pest of tomato plant based on the large amount of disease image data observed in the facility or the open field. Methods: The deep learning algorithms uesed at the web applivation platform are consisted as the combining form of Faster R-CNN with the pre-trained convolution neural network (CNN) models such as SSD_mobilenet v1, Inception v2, Resnet50 and Resnet101 models. To evaluate the superiority of the newly proposed web application platform, we collected 850 images of four diseases such as Bacterial cankers, Late blight, Leaf miners, and Powdery mildew that occur the most frequent in tomato plants. Of these, 750 were used to learn the algorithm, and the remaining 100 images were used to evaluate the algorithm. Results: From the experiments, the deep learning algorithm combining Faster R-CNN with SSD_mobilnet v1, Inception v2, Resnet50, and Restnet101 showed detection accuracy of 31.0%, 87.7%, 84.4%, and 90.8% respectively. Finally, we constructed a web application platform that can detect and discriminate various tomato deseases using best deep learning algorithm. If farmers uploaded image captured by their digital cameras such as smart phone camera or DSLR (Digital Single Lens Reflex) camera, then they can receive an information for detection, identification and disease control about captured tomato disease through the proposed web application platform. Conclusion: Incheon Port needs to act actively paying.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.133-145
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• 2022

As a result of the study, the poorest keywords were information, big data, management, policy, government, law, and smart. In addition, as a result of network analysis, related research was being conducted on topics such as data industry policy, data governance performance, defense, governance, and data public. The four topics derived through topic modeling were "DG policy," "DG platform," "DG in laws," and "DG implementation," of which research related to "DG platform" showed an increasing trend, and "DG implementation" tended to shrink. This study comprehensively summarized data governance-related studies. Data governance needs to expand research areas from various perspectives and related fields such as data management and data integration policies at the organizational level, and related technologies. In the future, we can expand the analysis targets for overseas data governance and expect follow-up studies on research directions and policy directions in industries that require data-based future industries such as Industry 4.0, artificial intelligence, and Metaverse.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.303-317
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• 2021

The purpose of this study is to analyze the competitiveness of OTT operators by developing an analysis framework specialized for the OTT industry. Based on existing research on business model, platform business model, and OTT characteristics, the OTT platform business model framework was developed, and case analysis was conducted based on data from related materials, literature, and internal data to suggest the direction for domestic OTT operators. As a result of the study, domestic OTT operators should use advanced AI and big data technologies to produce original content and improve the infrastructure and service quality of the platform. This study is meaningful in that it provides an analysis framework for OTT operators to establish their own competitive strategies and suggests the direction for domestic OTT operators through case application.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.31-36
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• 2018

The tourism industry has a great influence on national economy activation. The development of IT technology has enabled the collection and analysis of personal profile information, location information and activity information based on the characteristics, behavior, purchase propensity and interest of tourists. In order to realize this, the implementation of convergence smart tourism information service platform is completed by developing business model, IoT & Big Data integration management system, big data algorithm development and analysis platform in three stages. The underlying technology of the platform and algorithm needs a process of adopting open source, expanding the service element on the basis of it, and then complementing the problem through the test-bed demonstration test that connects the area. Using this platform, it is possible to develop a smart tourism environment that can provide customized services for each tourist by analyzing various information in an integrated manner. Also, it will be possible to improve the life of tourist destination residents and contribute to regional revitalization and job creation through the creation of smart tourism ecosystem focused on the region.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.63-73
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• 2021

In order to effectively promote a smart city, various urban information must be opened and linked, and the information system that each member can share is required. In addition, it is necessary to establish a cooperative system in which citizens and citizen's organizations can participate. In this study, the components and conceptual model of a smart city platform were proposed to create a smart city that enables citizen participation. Its components include sensors for collecting data from the real world, information storage and management, information sharing and standard system, citizens' personal information protection and management system, utilization and service, etc. For the conceptual model, roles of smart city members were defined, so that citizen-centered participation and services could be made. It also includes data collection, information linkage and sharing, and service configuration system. Citizens can perform various roles such as data collector and provider, service planner or requestor, service beneficiary, etc. Ultimately, free communication and exchange of opinions with citizens is a key factor in the success of smart cities.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.131-141
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• 2024

The aging population and worsening lifestyle habits have increased the risk of chronic diseases. This has heightened the importance of preventive healthcare, particularly through personalized health management services based on individual health data. Despite this, the domestic digital healthcare industry remains underdeveloped. Given the need for acceptance from both consumers and providers, this study uses the Analytic Hierarchy Process (AHP) to identify success factors for health management service platforms. AHP evaluates the relative importance of various factors to aid decision-making. Results show that providers prioritize data analysis and platform design, laws and regulations, and data standardization, while consumers prioritize system stability, laws and regulations, and system security. These findings highlight the need for strategies to bridge the expectation gap to effectively promote health management service platforms.