• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2772-2786
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• 2022

We had researched an automatic authentication-supported medical information platform[6]. The proposed automatic authentication consists of user authentication and mobile terminal authentication, and the authentications are performed simultaneously in patients' emergency conditions. In this paper, we studied on finding emergency conditions for the automatic authentication by applying big data processing and AI mechanism on the extended medical information platform with an added edge computing system. We used big data processing, SVM, and 1-Dimension CNN of AI mechanism to find emergency conditions as authentication means considering patients' underlying diseases such as hypertension, diabetes mellitus, and arrhythmia. To quickly determine a patient's emergency conditions, we placed edge computing at the end of the platform. The medical information server derives patients' emergency conditions decision values using big data processing and AI mechanism and transmits the values to an edge node. If the edge node determines the patient emergency conditions, the edge node notifies the emergency conditions to the medical information server. The medical server transmits an emergency message to the patient's charge medical staff. The medical staff performs the automatic authentication using a mobile terminal. After the automatic authentication is completed, the medical staff can access the patient's upper medical information that was not seen in the normal condition.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.213-215
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• 2012

The current Navigation System for the Visually Impaired Person has a short and limited communication distance and can't receive enough information from Visually Impaired Person to assist directly. In addition, because the path is dangerous and incomplete for the Visually Impaired Person, moving with White Stick is still inconvenient and dangerous. To solve this problem we implement communication that can send and receive video, voice, location information between the Visually Impaired Person's Android platform and assistant's PC.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.3
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• pp.77-86
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• 2009

This paper proposes an ontology-based context-aware home healthcare platform employing environmental factors obtained from home. The proposed platform manages the health of home residents, and notifies relatives or a medical team of critical condition through context-awareness based on home ontology by using information sensed from various sensors. The ontology definition of context-awareness from the sensed information provides technically more precise decision for us. Therefore the platform can be aware of the health state of residents and environment by reasoning exactly from data gathered from various sensors and heterogeneous devices. The platform also can individually provide the customized service for users by setting priority for critical status that can be occurred in the health state of residents.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.330-333
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• 2011

TIP 기술은 2D 그림 또는 한 장의 사진으로부터 기하정보를 추출하여 3 차원 입체 효과를 만들어 영상 내부를 네비게이션할 수 있는 기술로써, 게임, 엔터테인먼트, 교육, 홍보 등 다양한 분야에서 요구되는 주요기술이다. 본 논문에서는 최근 대두되고 있는 스마트 device 의 platform 가운데 하나인 android platform 상에서의 OpenGL ES Library 를 이용한 TIP 기술 적용 및 구현 기술을 제안한다. 제안 방법은 전경객체의 추출이 어려운 상황을 감안하여 보다 사실적 장면 구성이 용이하도록 사용자의 선택에 의한 소실점을 이용하고, OpenGL ES Library 를 이용하여 3D 배경 모델을 획득하고, 이미지를 텍스쳐 매핑하여 3D 가상공간을 완성한 후 카메라의 시점 변환을 통해 이미지 내부를 네베게이션할 수 있도록 한다. 실험영상은 android platform 상의 device 에서 촬영한 이미지를 사용하고, android 2.1 및 OpenGL ES 1.0 기반으로 구축함으로써, 제안 기술을 다양한 android platform smart device 에서 적은 비용과 시간으로 응용 개발에 효과적으로 적용 가능하도록 구현하였다.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.299-319
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• 2016

This study first introduces platform services and their business models. On the basis of the concepts of business ecosystem, we present a framework for distinguishing types of the platform service business models. Two key characteristics of business ecosystems-ecosystem configuration and value production process-are employed as fundamental dimensions for constructing typology. In particular, we also present the notion of value ecosystem, where not a single platform provider but a federation of platforms constitutes a virtual platform and completes a service system. The value ecosystem represents two distinct types of platform service business models : meta-platform ecosystem and platform coalition ecosystem. They show different governance structure in the platform federation and service flows across the ecosystem. We present detailed analyses of these two value ecosystems focusing on relevant cases of e-payment FinTech : Apple Pay as an example of meta-platform and Kakao Pay for platform coalition. Our conceptual typology contributes to platforms' proper strategy formulation and presents policy implications to, for example, platform neutrality.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.533-535
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• 2012

This research conduct exploratory case research to suggest evolution direction of platform based business model. To do this, we define platform business and business model based on prior literature respectively, select representative platform based business model, and suggest evolution factors of platform-based business model interaction with business model and emerging technologies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.457-460
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• 2006

For avoiding the waste of costs for building each mobile platform according to each mobile communication vender, KWISF proposed WIPI platform standard. Already the venders are providing mobile map services which are adapted on their own platforms. Because the integration of various mobile platform was performed to WIPI standard, the changes of platform and component API may cause the environment changes of mobile nap services. This study shows the design and implementation results of mobile map services adapted to WPI environments.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.76-78
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• 2015

시스템 자체를 에뮬레이션 하는 Virtual Platform은 임베디드 시스템 개발 프로세스 과정 중 하나인 소프트웨어 개발의 시점을 앞당길 수 있어 Time-To-Market을 줄일 수 있다. 본 논문에서는 Virtual Platform에 리눅스를 포팅하고 벤치마크 프로그램을 수행하여 성능을 측정하였다. 또한 이를 임베디드 시스템의 실제 개발단계에서 사용되는 Prototype Machine과 완성된 시제품에 각각 매칭 될 수 있는 FPGA 와 PC의 성능과 비교함으로써 Open Source Virtual Platform의 대표 주자인 QEMU의 효용성을 연구하였다. 실험 결과, 전체적인 성능은 PC가 FPGA보다 약 5.27배, FPGA가 Virtual Platform보다 5.38배, PC가 Virtual Platform보다 약 28.36배 더 좋은 성능을 보였다.

• Journal of KIBIM
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• v.9 no.4
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• pp.62-74
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• 2019

Because the existing BIM platform is based on user services, the focus is on the development of SaaS (Software as a Service), which provides business services online. However, since a harbor is a security facility, the harbor BIM platform is preferably provided in a private form, rather than relying on the infrastructure environment provided by external cloud providers. Therefore, this study analyzes and reviews the main functions to be provided as SaaS services of the harbor BIM platform. The goal is to build a cloud-based harbor BIM platform that can provide this service to users. To this end, we built IaaS (Infrastructure as a Service) environment of the harbor BIM platform based on the open source Open Stack and integrate and develop PaaS environment with Open Shift applied with IaaS. We applied the GPU to the harbor BIM platform to verify the performance of the harbor BIM platform, and found that the rendering and loading times are improved. In particular, it is expected to reduce the cost of introduction and provide it as the basic cloud environment of similar BIM platform for infrastructure facilities.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.150-190
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• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.