• Journal of Digital Contents Society
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• v.7 no.1
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• pp.25-33
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• 2006

As becoming the age of ubiquitous, there are many discussion and publication for standards to express platform profile. These various platform profiles have some problems. The solve these problems, we propose and develop a new posting mechanism which improve the performance of contents adaptation engine by simplifying platform profile and processing various type of platform profiles; we introduce the way to integrate different profiles to solve nut to recognize the profile which is used by different adaptation system and simplify platform profile by grouping the similar attributes of platform profiles. Proposed system can processing different profiles and also the system overhead to processing a profile and creating a dynamic profile has reduced. As a result overall performance of content adaptation system has increased.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.191-198
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• 2017

It is needed to support intelligent customized health information service for user convenience in PHR based Personal Health Care Service Platform. In this paper, we specify an ontology-based health data model for Personal Health Care Service Platform. We also design a knowledge search algorithm that can be used to figure out similar health record by applying machine learning and data mining techniques. Axis-based mining algorithm, which we proposed, can be performed based on axis-attributes in order to improve relevance of knowledge exploration and to provide efficient search time by reducing the size of candidate item set. And K-Nearest Neighbor algorithm is used to perform to do grouping users byaccording to the similarity of the user profile. These algorithms improves the efficiency of customized information exploration according to the user 's disease and health condition. It can be useful to apply the proposed algorithm to a process of inference in the Personal Health Care Service Platform and makes it possible to recommend customized health information to the user. It is useful for people to manage smart health care in aging society.

• Fashion & Textile Research Journal
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• v.24 no.6
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• pp.731-743
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• 2022

This study examined the effects of platforms' attributes(economy, convenience, ease of use, and security) on perceived usefulness, perceived enjoyment, trust, and the continuance intention to use. Data were collected through a survey conducted with 327 users of second-hand luxury goods trading platforms in their twenties and thirties; 300 were used for statistical analysis using SPSS26.0 for exploratory factor analysis and correlation analysis, and AMOS 26.0 for confirmatory factor analysis and structural equation modeling. For the attributes of second-hand luxury goods trading platforms, four factors were extracted: economy, convenience, ease of use and security. The results showed that only the security of second-hand luxury goods platforms had a positive effect on the perceived usefulness of the platform, but other attributes did not influence perceived usefulness. In contrast, all attributes of the platform showed positive effects on perceived enjoyment. Perceived enjoyment had a strong effect on trust; however, perceived usefulness did not affect trust. The continuance intention to use the platforms was most influenced by perceived usefulness, trust, and perceived enjoyment, in that order. The current findings can help marketers of second-hand luxury goods platforms optimize the platforms' attributes based on the marketing objectives and develop strategies to build perceived usefulness and enjoyment first, and in turn, trust and intention to use.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.63-74
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• 2020

AI products are used 'AI assistants' as embedded in smart phones, speakers, appliances as agents. Studies on anthropomorphism, such as personality, voice with a weak AI are being conducted. Role and function of AI agents will expand from development of AI technology. Various attributes related to the agent, such as user type, usage environment, appearance of the agent will need to be considered. This study intends to categorize interaction factors related to agents from the user's perspective through analysis of concept videos which agents with strong AI. Framework for analysis was built on the basis of theoretical considerations for agents. Concept videos were collected from YouTube. They are analyzed according to perspectives on environment, user, agent. It was categorized into 8 attributes: viewpoint, space, shape, agent behavior, interlocking device, agent interface, usage status, and user interface. It can be used as reference when developing, predicting agents to be commercialized in the future.

• The Korean Journal of Applied Statistics
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• v.33 no.6
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• pp.833-842
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• 2020

Global platforms such as Netflix, Amazon, and YouTube have developed a precise recommendation system based on various information from large set of customers and many of the items recommended here are leading to actual purchases. In this paper, a cluster analysis was conducted according to the attribute of the content, expecting that there would be a difference in user preferences according to the attribute of the recommended content. Gower distance was used for use regardless of the type of variables. In this paper, using the data of movie rating site 'The Movie Dataset', the users were grouped hierarchically and recommended movies based on genre, director and actor variables. To evaluate the recommended systems proposed, user group was divided into train set and test set to examine the precision. The results showed that proposed algorithms have far higher precision than UBCF.

• Journal of the Korea Institute of Building Construction
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• v.20 no.6
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• pp.505-514
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• 2020

This research introduces the method of developing Korea BIM standard (KBIMS) architectural and structural element library and the methodology of converting KBIMS IFC property names with special characters. Diverse BIM tools are utilizing in project, however BIM library researches lack diversity on BIM tool selection. This research described the method to generate twelve categories and seven hundred and ninety-three elements library containing geometrical and numerical data in CATIA V6. KBIMS has its special property data naming systems which was the challenge inputting to ENOVIA IFC database. Three mapping methods for special naming characters had been developed and the ASCII code method was applied. In addition, the convertor prototype had been developed for searching and replacing the ASCII codes into the original KBIMS IFC property names. The methodology was verified by exporting 2,443 entities without data loss in the sample model conversion test. This research would provide a wider choice of BIM tool selection for applying KBIMS. Furthermore, the research would help on the reduction of data interoperability issues in projects. The developed library would be open to the public, however the continuous update and maintenance would be necessary.

• Knowledge Management Research
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• v.24 no.1
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• pp.99-126
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• 2023

As cultural background contributes members of society to recognize and behave in a specific direction, customers with different cultural backgrounds show various reactions even when they are provided with the same service. Previous studies have used the Hofstede cultural dimension to understand how hotel visitors' satisfaction varies with the provided service as per their cultural background. However existing research only considered the cultural background of the guests, and there are not many studies focused on the types of travel. Therefore, in this study, the travel types of hotel visitors are classified into business travel visitors and leisure tourism visitors, and analyzed the effect of Hofstede's cultural dimension on hotel selection attributes according to the styles of travel. In this study, we collected information on six cultural dimensions of Hofstede, and from TripAdvisor, a representative tourism platform, 204,261 optional attribute ratings for hotels in New York to investigate the satisfaction of hotel selection attributes. In conclusion, it is expected that this study will be able to identify which service attributes the customers of various cultures who visit hotels put emphasis in advance, and therefore provide suitable service accordingly.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1341-1346
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• 2017

In this paper, we designed the open service platform based on integrated type of individual customized service and intelligent information technology with individual's complex attributes and requests. First, the data collection phase is proceed quickly and accurately to repeat extraction, transformation and loading. The generated data from extraction-transformation-loading process module is stored in the distributed data system. The data analysis phase is generated a variety of patterns that used the analysis algorithm in the field. The data processing phase is used distributed parallel processing to improve performance. The data providing should operate independently on device-specific management platform. It provides a type of the Open API.

• 한국사회정책
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• v.25 no.4
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• pp.199-231
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• 2018

The development of ICT has led to changes in the pattern and the meaning of work and requires restructuring of the existing social security system, which was established chiefly for the wage workers in the industrial economy. However, while economic activities within the digital platform markets are different from industrial labour, there is still a lack of discussion on what social problems platform workers can face and how to cope with them. As a comprehensive sketch of economic activities in platform economy, this study identifies the types of platform workers and analyses three characteristics of their economic activities - flexibility, virtuality, and connectivity. It then examines what social risks can be derived form the three characteristics. This research lastly suggests alternative social safety nets and policies to alleviates the social risks and problems that platform workers may face in the digital society.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.81-87
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• 2020

This paper creates a standard node for acquiring sensor data from various industrial sensors (IoT/non-IoT) for the establishment of Smart Factory Digital Twin, and provides inter-compatible data by linking zones by group/process to secure data stability and to ensure the digital twin (Digital Twin) of Smart Factory. The process of the Zone Master platform contains interface specifications to define sensor objects and how sensor interactions between independent systems are performed and carries out individual policies for unique data exchange rules. The interface for execution control of the Zone Master Platform processor provides system management, declaration management for public-subscribe, object management for registering and communicating status information of sensor objects, ownership management for property ownership sharing, time management for data synchronization, and data distribution management for Route information on data exchange.