• Korean Journal of Artificial Intelligence
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• v.11 no.4
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• pp.29-34
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• 2023

The flow from developing a machine learning model to deploying it in a production environment suffers challenges. Efficient and reliable deployment is critical for realizing the true value of machine learning models. Bridging this gap between development and publication has become a pivotal concern in the machine learning community. FastAPI, a modern and fast web framework for building APIs with Python, has gained substantial popularity for its speed, ease of use, and asynchronous capabilities. This paper focused on leveraging FastAPI for deploying machine learning models, addressing the potentials associated with integration, scalability, and performance in a production setting. In this work, we explored the seamless integration of machine learning models into FastAPI applications, enabling real-time predictions and showing a possibility of scaling up for a more diverse range of use cases. We discussed the intricacies of integrating popular machine learning frameworks with FastAPI, ensuring smooth interactions between data processing, model inference, and API responses. This study focused on elucidating the integration of machine learning models into production environments using FastAPI, exploring its capabilities, features, and best practices. We delved into the potential of FastAPI in providing a robust and efficient solution for deploying machine learning systems, handling real-time predictions, managing input/output data, and ensuring optimal performance and reliability.

• Spatial Information Research
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• v.11 no.4
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• pp.439-452
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• 2003

Geographic Information System(GIS) market in Korea was made based on "the First Master Plan for the korean National GIS" Recently the private GIS market is growing rapidly for LBS, Telematics, Web Geographic Information Service. So, the purpose of this study is to make the development strategies reflected ′moving the core of GIS market′ from public to private sector. By using the Model of Added Value chain, the business model which reflect features of geographical information best, we analyzed markets and classified them into four fields along the uses and degrees of added value. The features of markets in each field are researched and the ways of development about each fields are established. And the business model for geoaphic information circulation is made for development of GIS. market. To realize the development strategies in each field, this study proposes the national roles.

• Knowledge Management Research
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• v.9 no.2
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• pp.129-146
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• 2008

Customers' evaluation of Website with satisfaction is critical in electroniccommerce. Previous research has studied in a distinct approach; especially IT oriented constructs-perceived usefulness, easy of use and marketing oriented constructs-product, shopping experience, service quality. Despite those important previous studies regarding the usage and the purchase of goods and services, how consumers are satisfied and why consumers leave Web sites without purchasing have not been extensively researched. This study explored those determinants of consumer satisfaction with Web site using expectation-disconfirmation theory (EDT). The present paper extends the range of EDT from antecedents of expectation to consequence of satisfaction. The result suggests that experience and familiarity has an impact on expectation as well as perceived performance and satisfaction. Second, higher expectation makes a negative impact on disconfirmation of expectation. Third, positive disconfirmation of expectation makes a positive impact on satisfaction. Forth. satisfaction produces loyalty and repurchasing intention. Finally, loyal customer has stronger intention to repurchase than satisfied customer.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.8B
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• pp.735-744
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• 2008

This paper proposes a 'secure node' to be robust against network-based DoS attacks. The secure node selectively accepts new sessions based on the Zipf's law while a link is in the overload state. Our scheme calculates a threshold value for overload state, and provides a dynamic service mechanism for enhancing availability of a web server. The simulation results show performance improvement of the proposed scheme in terms of completion/connection ratios.

• The Journal of Information Systems
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• v.20 no.2
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• pp.21-36
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• 2011

The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes some contributions. Especially it proposes minimalism and chunking framework for analyzing and comparing consumer opinions of competing products. Users are able to clearly see the strengths and weaknesses of each product in the minds of consumers in terms of various product features. This comparison is useful to both potential customers and product manufacturers. For a product manufacturer, the comparison enables it to easily gather marketing intelligence and product benchmarking information. In this paper, we only focus on mining opinion/product features that the reviewers have commented on. Five types of online review presentations are presented to mine such features. Our experimental results show that these techniques are useful to identify customers' opinions and trends.

• Journal of the Korea Society of Computer and Information
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• v.20 no.9
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• pp.87-96
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• 2015

Professional knowledge such as legal information is commonly not accessible or cannot be easily understood by the public. By using the legal ontology which is previously established, the legal information retrieval based on ontology is to use for the information retrieval. In this paper, we propose the matters required for the design and develop of the framework for the legal information retrieval based on ontology. The framework is composed of the query conversion engine of SPARQL base for query to OWL ontology and user query type engine and return value refinement engine and web interface engine. The framework does the role as the infrastructure which retrieval the legal ontology effectually and which it serves and can be used in the semantic legal information retrieval service.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.228-235
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• 2008

This paper proposes automatic generation method of proxy client code to automation of web service selection process through a monitoring agent. The technique of this paper help service consumer to provide source code of proxy client as it bring an attribute value of specific element of WSDL document using template rule. Namely, a XSLT script file provide code frame of dynamic invocation interface model. The automatic code generation technique need to solving starvation status of selection architecture. It is required to creating request HTTP message for every service on the result of search. The created proxy client program code generate dummy message about services. The proposed client code generation method show us a possibility of application in the automatic generation programming domain.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.219-228
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• 2011

In the online game, a game character to replace game player exists within the same game and it is very difficult to migrate to another on-line games. Also, players have taken a lot of time and effort in the character's growth. In recent years, it has raised many social side effects. Therefore, in order to solve these problems, this paper was implemented web services system based on previous studies for the migration of game character between different-type on-line game severs, and the proposed system verified through the experiment focused on 4 capability numerical value (money, HP:Hit Point, MP:Mana Point, level) between migration element of game character.

• The Journal of Information Systems
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• v.27 no.2
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• pp.77-94
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• 2018

Purpose As the amount of data became enormous, it became a time when more efforts were needed to find the necessary information. Curation is a new term similarly to the museum curator, which is a service that helps people to collect, share, and value the contents of the Internet. In SNS, hash tag is used for emotional vocabulary to be transmitted between users by using (#) tag. Design/methodology/approach As the amount of data became enormous, it became a time when more efforts were needed to find the necessary information. Curation is a new term similarly to the museum curator, which is a service that helps people to collect, share, and value the contents of the Internet. In SNS, hash tag is used for emotional vocabulary to be transmitted between users by using (#) tag. Findings This study base on seven emotional sets such as 'Happy', 'Angry', 'Sad', 'Bad', 'Fearful', 'Surprised', 'Disgusted' to construct 327 emotional seeds and utilize the autofill function of web browser to collect 1.5 million emotional words from emotional seeds. The emotional dictionary of this study is considered to be meaningful as a tool to make emotional judgment from unstructured data.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.1
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• pp.13-20
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• 2011

LBS services is a user-centric location based information service, where its importance has been discussed as an essential engine in an Ubiquitous Age. We aimed to develop an ontology reasoning system that enables users to derive recommended results suitable through selection standard reasoning according to various users' preferences. In order to achieve this goal, we designed the Geo-ontology system which enabled the construction of personal characteristics of users, knowledge on personal preference and knowledge on spatial and geographical preference. We also integrated a function of reasoning relevant information through the construction of Cost Value ontology using multi-criteria decision making by giving weight according to users' preference.