• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2007년도 학술대회
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• pp.173-175
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• 2007

So far, almost all IP media services are targeted to the specific devices, for example, IPTV services are mainly for TV, and social community services are mainly for PC etc.. This paper describes newly developed media service platform in which the high quality video services can be provided not only to the TV or PC but also to the PMP(Portable Media Player) and even to the mobile phone. The major technical issues of the service platform are synchronization of contents among the different devices and high quality TV grade video display in PMP device. We confirmed successful operation of multi-device converged services in the developed media platform. We also have a trial service plan in Gwangju city at the end of this year.

• Wind and Structures
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• 제20권6호
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• pp.751-761
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• 2015

A multi-platform offshore wind farm is receiving the worldwide attention for the sake of maximizing the wind power capacity and the dynamic stability at sea. But, its wind power efficiency is inherently affected by the interference of wake disturbed by the rotating blades, so its layout should be appropriately designed to minimize such wake interference. In this context, the purpose of this paper is to introduce a layout optimization for multi-platform offshore wind farm consisted of 2.5MW spar-type floating wind turbines. The layout is characterized by the arrangement type of wind turbines, the spacing between wind turbines and the orientation of wind farm to the wind direction, but the current study is concerned with the spacing for a square-type wind farm oriented with the specific angle. The design variable and the objective function are defined by the platform length and the total material volume of the wind farm. The maximum torque loss and overlapping section area are taken as the constraints, and their meta-models expressed in terms of the design variable are approximated using the existing experimental data and the geometry interpretation of wake flow.

• Structural Monitoring and Maintenance
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• 제3권2호
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• pp.175-194
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• 2016

Based on the change of traditional viscoelastic damper structure, a brand-new damper is designed to control simultaneously the translational vibration and the rotational vibration for platforms. Experimental study has been carried out on the mechanical properties of viscoelastic material and on its multi-dimensional seismic response control effect of viscoelastic damper. Three types of viscoelastic dampers with different shapes of viscoelastic material are designed to test the influence of excited frequency, strain amplitude and ambient temperature on the mechanical property parameters such as circular dissipation per unit, equivalent stiffness, loss factor and storage shear modulus. Then, shaking table tests are done on a group of single-storey platform systems containing one symmetric platform and three asymmetric platforms with different eccentric forms. Experimental results show that the simulation precision of the restoring force model is rather good for the shear deformation of viscoelastic damper and is also satisfied for the torsion deformation and combined deformations of viscoelastic damper. The shaking table tests have verified that the new-type viscoelastic damper is capable of mitigating the multi-dimensional seismic response of offshore platform.

• Nuclear Engineering and Technology
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• 제55권5호
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• pp.1791-1801
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• 2023

The multi-physics coupled methodologies that have been widely used to analyze the complex process occurring in nuclear reactors have also been used to the R&D of numerical reactors. The advancement in the field of computer technology has helped in the development of these methodologies. Herein, we report the integration of ADPRES code and RELAP5 code into the SALOME-ICoCo framework to form a multi-physics coupling platform. The platform exploits the supervisor architecture, serial mode, mesh one-to-one correspondence and explicit coupling methods during analysis, and the uncertainty analysis tool URANIE was used. The correctness of the platform was verified through the NEACRP-L-335 benchmark. The results obtained were in accordance with the reference values. The platform could be used to accurately determine the power peak. In addition, design margins could be gained post uncertainty analysis. The initial power, inlet coolant temperature and the mass flow of assembly property significantly influence reactor safety during the rod ejections accident (REA).

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권1호
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• pp.29-33
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• 2004

I propose a personalized digital library system (PDLS) based on an advanced distributed agent platform. The new platform is developed by improving the DECAF (Distributed Environment-Centered Agent Framework) which is one of the conventional distributed agent development toolkits. Also, a mobile ORB (Object Request Broker), Voyager, and a new multi agent negotiation algorithm are adopted to develop the advanced platform. The new platform is for mobile multi agents as well as the distributed environment, whereas the DECAF is for the distributed and non-mobile environment. From the results of the simulation the searched time of PDLS is lower, as the numbers of servers and agents are increased. And the user satisfaction is four times greater than the conventional client-server model. Therefore, the new platform has some optimality and higher performance in the distributed mobile environment.

• 한국산학기술학회논문지
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• 제15권1호
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• pp.441-448
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• 2014

USN(Ubiquitous Sensor Network) 응용 소프트웨어는 다양한 대상 운영체제의 핵심모듈들을 기반으로, 다양한 종류의 센서 노드들을 유기적으로 제어하는 복잡한 특징을 가진다. 이에 따라, 현재 USN 응용 분야에서는 효율적으로 소프트웨어를 개발하기 위한 다양한 연구가 진행되고 있다. 본 논문에서는 센서 네트워크 환경에서 하나의 모델로 부터 여러 플랫폼에 맞는 노드 소프트웨어를 효율적으로 개발하기 위한 속성 기반 개발을 지원하는 속성 설계 기법을 제시한다. 제시된 기법에서는 Platform Independent Model과 Platform Specific Model을 만들기 위한 속성을 설계하는 방법을 기술한다. 본 논문에서 제시하는 기법을 사용하면, 속성 값의 선택을 통하여 멀티 플랫폼을 위한 노드 소프트웨어를 손쉽게 디자인함으로써 소프트웨어 개발 생산성은 증대된다. 또한 운영체제의 변화에 따라 속성 변경을 통하여 노드 소프트웨어를 쉽게 재생성할 수 있으므로, 소프트웨어의 유지보수성이 향상된다.

• 한국멀티미디어학회논문지
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• 제24권3호
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• pp.355-372
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• 2021

Recently, high-performance HMDs (Head-Mounted Display) are becoming wireless due to the growth of virtual reality technology. Accordingly, environmental constraints on the hardware usage are reduced, enabling multiple users to experience virtual reality within a single space simultaneously. Existing multi-user virtual reality platforms use the user's location tracking and motion sensing technology based on vision sensors and active markers. However, there is a decrease in immersion due to the problem of overlapping markers or frequent matching errors due to the reflected light. Goal of this study is to develop a multi-user virtual reality moving platform in a single space that can resolve sensing errors and user immersion decrease. In order to achieve this goal hybrid sensing technology was developed, which is the convergence of vision sensor technology for position tracking, IMU (Inertial Measurement Unit) sensor motion capture technology and gesture recognition technology based on smart gloves. In addition, integrated safety operation system was developed which does not decrease the immersion but ensures the safety of the users and supports multimodal feedback. A 6 m×6 m×2.4 m test bed was configured to verify the effectiveness of the multi-user virtual reality moving platform for four users.

• Asia pacific journal of information systems
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• 제30권4호
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• pp.808-831
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• 2020

The business world has been undergoing a digital transformation. The adoption of multi-sided digital platform across the world has sped up this transformation. Multi-sided digital platforms create value by mediating interactions and transactions of distinct groups of users. A platform and its stakeholders need to be considered as a business ecosystem. Elements or components in the ecosystem exchange values and together form a network of exchange values. The objective of this paper is to construct a framework for crafting and observing digital business ecosystems. The foundation theories used to construct the framework are transaction cost economy (TCE), multi-sided markets, and value network. This paper uses Go-Jek, a growing ride-hailing platform from Indonesia, as a case to discuss how the framework works in mapping Go-Jek's digital business ecosystem, and then explain its expansion strategy. This paper has both theoretical and managerial contributions. It provides a formal definition of digital business ecosystems as a network of exchange values. The framework does not only help studies the existing business ecosystems but also can be used to craft a new business ecosystem. It can also be used to study value exchanges within the ecosystem, assessing or crafting ecosystem expansion strategies.

• 지능정보연구
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• 제23권1호
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• pp.69-93
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• 2017

ICT는 제조기반 산업사회에서 가치사슬의 효율성/효과성의 지원을 목적으로 도입되었으나 정보기반 산업사회에서는 ICT가 시장 가치 창출의 주체가 되어 다중 가치사슬의 형성 가능성을 기대하게 하였다. 즉, ICT의 발전은 공급 및 수요의 다변화와 다양성의 동인이 되면서 가치를 창출하기 시작했고, 이를 중심으로 하는 신 가치 사슬의 등장은 구 가치사슬과의 충돌의 문제를 야기하였다. 즉, 다중 가치사슬이 존재 가능한 플랫폼에서는 가치사슬 간의 충돌, 중첩, 생성, 상실 등의 동적 상황 등에 따른 신/구 가치의 창출과 소멸 등이 발생하게 된다. 예를 들어, ICT에 기반을 둔 우버택시 서비스는 신 가치사슬을 형성하여 택시서비스 시장에서 신/구 가치사슬간의 충돌을 야기했다. 제조기반 산업사회에서는 단일 가치사슬의 시장 선점이 중요하였으나, ICT 기반 융합 제품/서비스/정보가 유통되는 플랫폼에서는 시장 상황 변수의 동적 변화에 따라 다중의 가치사슬이 존재하면서 서로 충돌과 공존을 야기하게 되었다. 따라서 ICT에 기반을 둔 지능형 정보사회의 발전과 함께 시장가치 최대화를 위해 다중 가치사슬 간 충돌 최소화와 공존의 최대 가능성을 높일 수 있는 모형의 제시가 중요하다. 본 연구에서는 먼저 의료서비스 시장을 중심으로 하는 다중 가치사슬의 동적 플랫폼 형성에 대해 논의한다. 즉, 의료서비스 시장에 ICT 기반 원격 및 지능형 의료서비스 등이 구 시장에 진입함으로써 발생하는 가치사슬 간의 충돌을 최소화하고 공존 가능성을 높이기 위한 공존 요인 변수에 대해 논의 한다. 이를 위해 다중의 공급과 소비 및 서비스가 존재 가능한 다중 가치사슬이 충돌 및 중첩하는 과정에서 공존 요인 변수 등에 기반하여 가치 사슬들을 동적으로 생성/변화/소멸 및 공존하기까지 의료서비스 플랫폼에 대해 논의한다. 또한 플랫폼 내의 각 가치사슬의 생산가치의 증가와 가치사슬 간의 상호 작용에 의한 부가가치의 창출 등에 의해 플랫폼의 총 가치가 증가 될 수 있음을 논의한다. 마지막으로 공존 모형을 제안하고 실험을 통해 가치사슬 간의 공존 가능성을 제시한다.

• 한국인공지능학회지
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• 제11권4호
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• pp.1-8
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• 2023

In this paper, we propose a black ice detection platform framework using Convolutional Neural Networks (CNNs). To overcome black ice problem, we introduce a real-time based early warning platform using CNN-based architecture, and furthermore, in order to enhance the accuracy of black ice detection, we apply a multi-scale dilation convolution feature fusion (MsDC-FF) technique. Then, we establish a specialized experimental platform by using a comprehensive dataset of thermal road black ice images for a training and evaluation purpose. Experimental results of a real-time black ice detection platform show the better performance of our proposed network model compared to conventional image segmentation models. Our proposed platform have achieved real-time segmentation of road black ice areas by deploying a road black ice area segmentation network on the edge device Jetson Nano devices. This approach in parallel using multi-scale dilated convolutions with different dilation rates had faster segmentation speeds due to its smaller model parameters. The proposed MsCD-FF Net(2) model had the fastest segmentation speed at 5.53 frame per second (FPS). Thereby encouraging safe driving for motorists and providing decision support for road surface management in the road traffic monitoring department.