• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.159-174
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• 2024

Recently, as demand for delivery services has increased rapidly due to COVID-19, the food service O2O(Online to Offline) platform has also grown significantly. This study aimed to verify the influencing factors on continuance use intention of O2O platform using the Information Service Success Model and Post Acceptance Model. An online survey was conducted on 379 consumers who used the food service O2O platform in the past six months, and the collected survey was analyzed using SPSS 26.0 and AMOS 24.0. As a result of the verification, in the influence relationship between the Information Service Success Model and Post Acceptance Model, system quality was found to have an effect on perceived usefulness, but information quality and service quality were rejected for perceived usefulness and were partially adopted, The rest were all found to have a significant effect. In the moderating effect according to the amount used, the intention to continue using was stronger when the group who spent more than 30,000 won was satisfied. These results support previous research on O2O platforms and provide academic implications as well as practical implications for practitioners in the food service industry.

• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.2
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• pp.116-122
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• 2007

System management application system is one of the most interesting fields in Ubiquitous Sensor Networks. It conforms to the property of Ubiquitous Sensor Networks very well, and it is the closest application for commercial use. We have two kinds of system management technology, such as the one which is accessed by web browser at anytime, anywhere and another one which is for local accessed system. In this paper, our purpose is implementation of system management application system which provides Mesh Sensor Networks topology with IP based agent platform and system management server. Furthermore we introduce the functions used for our recent implementation and propose several future issues about system management application system.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.82-86
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• 2019

We aim to use public data different from the remote BEMS energy diagnostics technology and already established and then switch the conventional operation environment to a big-data-based integrated management environment to operate and build a building energy management environment of maximized efficiency. In Step 1, various network management environments of the system integrated with a big data platform and the BEMS management system are used to collect logs created in various types of data by means of the big data platform. In Step 2, the collected data are stored in the HDFS (Hadoop Distributed File System) to manage the data in real time about internal and external changes on the basis of integration analysis, for example, relations and interrelation for automatic efficient management.

• Journal of Information Technology Applications and Management
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• v.27 no.2
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• pp.51-71
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• 2020

Technological innovation can be both an opportunity and a crisis to take the initiative in the ecosystem, and companies are constantly competing to lead the platform within the ecosystem, including innovation in new products and services, absorption or integration of related industries. To cope with this rapid change in the environment today, it is essential to define the corporate ecosystem and platform business, and to understand the role and characteristics of users. This study seeks to conduct research on the usefulness, enjoyment, technicality, facilitation conditions, and causes of social impact on platform service loyalty to users of Kakao services. And this study will enable platform service providers through apps to use them as the basis for building business strategies in the service introduction phase.

• Asia pacific journal of information systems
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• v.13 no.1
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• pp.47-72
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• 2003

It is important to retrieve information that a user requires on the web. The web is an open system. The amount of information is increasing rapidly. While each of information was compiled into the database piece at a single platform in the past, it is now compiled into complicated structure at a multi-platform. Restructuring the multi-platform database is needed to efficiently retrieve information. MIRAS(Meta Information Retrieval Agent System) has a multi-platform database on web. This study applies the classification of the existent site's categories to restructure the database systematically. The empirical analysis shows that the suggested method is effective for information retrieval and multi-platform database restructuring. This study helps users to save on time-cost of searching information.

• Asia-Pacific Journal of Business
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• v.8 no.2
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• pp.75-94
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• 2017

This study aims to develop a conceptual framework linking antecedents and consequences of online platform experience in the context of hospitality businesses. In doing so, an introduction to online platform experience in the hospitality industry was made, and environmental stimuli, that is, enablers of online platform experience were identified: information, entertainment and relation. Additionally, the theoretical review attempted to explain how customers are likely to be engaged in, and to be loyal to, the hospitality organizations' provisions in the context of online platforms. When presenting the theoretical model, a Stimulus-Organism-Response paradigm was employed to propose the hypotheses predicting positive online platform experience, which seems to derive from internally provoked cognition and affection within individuals, leading to behavioral consequences. This model is expected to be applicable to the online context, where hospitality businesses tend to adopt the concept of gamification and to implement associated loyalty programs. Finally, theoretical and practical implications, along with potential avenues of future research, were discussed.

• ETRI Journal
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• v.41 no.3
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• pp.277-288
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• 2019

VWorld is run by the Ministry of Land, Infrastructure, and Transport of South Korea and provides national spatial information, such as aerial images, digital elevation models, and 3D structural models. We propose herein an open platform for 3D spatial information based on WebGL using spatial information from VWorld. WebGL is a web-based graphics library and has the advantage of being compatible with various web browsers. Our open platform is also compatible with various web browsers. Accordingly, it is easily accessible via the VWorld site and uses the three-dimensional (3D) map program. In this study, we describe the proposed platform configuration, and the requests, management, and visualization approaches for VWorld spatial information data. Our aim is to establish an approach that will provide a stable rendering speed even on a low-end personal computer without a graphics processing unit based on a quadtree structure. We expect that users will be able to visualize 3D spatial information through the VWorld open platform, and that the proposed platform will become the basis for various applications.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.243-244
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• 2019

본 논문에서는지속 가능한 IoT Platform을 개발 하였다. 개발된 IoT(Internet of Things) Platform은 센서를 제어하는 특정 시스템과의 통신을 통한 제어 및 데이터 전달에 용이하고, 제한된 통신 환경 및 낮은 전력에서도 지속적인 작동이 가능하여 가용성(Availability)과 확장성(Extensibility)이 뛰어나다. 본 논문에서는 지속 가능한 IoT Platform의 테스트를 위해 클라우드 컴퓨팅 플랫폼인 AWS EC2(Amazon Elastic Compute Cloud, EC2)에 구축하였으며, DataBase 서버로는 오픈 소스 관계형 데이터베이스 관리 시스템인 MariaDB를 선정하였으며, 센서를 제어하는 특정 시스템인 스마트 미러 시스템(Smart Mirror System)과 미세먼지 제어 시스템(Air Quality Control System)에 기존의 Google IoT Platform에서 사용되는 MQTT Protocol(Message Queuing Telemetry Transport Protocol)와 지속 가능한 IoT Platform를 위해 개발된 TCP/IP Protocol를 사용하여 비교했다. 개발된 IoT Platform은 UTM(Unmanned Aircraft System Traffic Management)으로 확장할 계획이다.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.77-86
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• 2022

The destructive impact of contagious diseases outbreaks on all life facets necessitates developing effective solutions to control these diseases outbreaks. This research proposes an end-to-end, data-driven platform which consists of multiple modules that are working in harmony to achieve a concrete goal: early detection of contagious diseases outbreaks (i.e., epidemic diseases detection). Achieving that goal enables decision makers and people in power to act promptly, resulting in robust prevention management of contagious diseases. It must be clear that the goal of this proposed platform is not to predict or forecast the spread of contagious diseases, rather, its goal is to promptly detect contagious diseases outbreaks as they happen. The front end of the proposed platform is a web-based dashboard that visualizes diseases outbreaks in real-time on a real map. These outbreaks are detected via another component of the platform which utilizes data mining techniques and algorithms on gathered datasets. Those gathered datasets are managed by yet another component. Specifically, a mobile application will be the main source of data to the platform. Being a vital component of the platform, the datasets are managed by a DBMS that is specifically tailored for this platform. Preliminary results are presented to showcase the performance of a prototype of the proposed platform.

• Journal of Information Processing Systems
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• v.4 no.3
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• pp.103-112
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• 2008

This paper proposes a policy adjuster-driven Grid workflow management system for collaborative healthcare platform, which supports collaborative heart disease diagnosis applications. To select policies according to service level agreement of users and dynamic resource status, we devised a policy adjuster to handle workflow management polices and resource management policies using policy decision scheme. We implemented this new architecture with workflow management functions based on policy quorum based resource management system for providing poincare geometrycharacterized ECG analysis and virtual heart simulation service. To evaluate our proposed system, we executed a heart disease identification application in our system and compared the performance to that of the general workflow system and PQRM system under different types of SLA.