• Journal of Digital Convergence
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• v.14 no.10
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• pp.431-438
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• 2016

This study focused on the Korean-wave content consumed in the global market and analyzed success/failure factors of services through business model analysis. It aims to offer an effective new media content platform model. ViKi, Drama Fever, Maaduu.com which are representative global OTT were researched on management strategy by case analysis. The success of the global OTT platform is organized into three factors, target customer coverage, revenue model and community activation. Clear and wide coverage of target customer is important to determine the value of the service. Also, revenue model based on the pay service and community for Korean-wave fandom are essential to make good performance in new media platform business.

• Journal of Astronomy and Space Sciences
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• v.31 no.1
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• pp.91-99
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• 2014

The atmospheric flow in the 3-Cell model of global atmosphere circulation is described by the Lagrange's equation of the non-inertial frame where pressure force, frictional force and fictitious force are mixed in complex form. The Coriolis force is an important factor which requires calculation of fictitious force effects on atmospheric flow viewed from the rotating Earth. We make new Mathematica platform to solve Lagrange's equation by numerical analysis in order to analyze dynamics of atmospheric general circulation in the non-inertial frame. It can simulate atmospheric circulation process anywhere on the earth. It is expected that this pedagogical platform can be utilized to help students studying the atmospheric flow understand the mechanisms of atmospheric global circulation.

• International Commerce and Information Review
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• v.6 no.1
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• pp.129-153
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• 2004

In order to succeed in e-Trade Project in Korea, the related parties endeavor to introduce the e-title registry model such as Bolero model(Title Registry Model) and TEDI model (Repository Service Provider Model). Prior to mentioning the Model of e-Title Registry, desirable Global e-Trade Platform is the platform connecting Global e-Trade Platforms in each country and Bolero's Core Messaging Platform and e-Title Registry must be established in each country. Each e-Title Registry must be connected with another registry. Like Korea, Recognized Electronic Document Repository must be established as proxy for preserving, attesting, carrying out sending and receiving electronic document to prevent from disputes between parties and to carry out notarizing electronic documents and related transaction. The purpose of this paper is to promote the introduction of e-Title Registry in the e-Trade and to streamline the procedures of the electronic bill of lading.

• Smart Structures and Systems
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• v.7 no.5
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• pp.393-416
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• 2011

Hybrid acceleration-impedance sensor nodes on Imote2-platform are designed for damage monitoring in steel girder connections. Thus, the feasibility of the sensor nodes is examined about its performance for vibration-based global monitoring and impedance-based local monitoring in the structural systems. To achieve the objective, the following approaches are implemented. First, a damage monitoring scheme is described in parallel with global vibration-based methods and local impedance-based methods. Second, multi-scale sensor nodes that enable combined acceleration-impedance monitoring are described on the design of hardware components and embedded software to operate. Third, the performances of the multi-scale sensor nodes are experimentally evaluated from damage monitoring in a lab-scaled steel girder with bolted connection joints.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.148-158
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• 2024

We investigate Autism Spectrum Disorder (ASD), which is typified by deficits in social interaction, repetitive behaviors, limited vocabulary, and cognitive delays. Traditional diagnostic methodologies, reliant on expert evaluations, frequently result in deferred detection and intervention, particularly in South Korea, where there is a dearth of qualified professionals and limited public awareness. In this study, we employ advanced deep learning algorithms to enhance early ASD screening through automated video analysis. Utilizing architectures such as Convolutional Long Short-Term Memory (ConvLSTM), Long-term Recurrent Convolutional Network (LRCN), and Convolutional Neural Networks with Gated Recurrent Units (CNN+GRU), we analyze video data from platforms like YouTube and TikTok to identify stereotypic behaviors (arm flapping, head banging, spinning). Our results indicate that the LRCN model exhibited superior performance with 79.61% accuracy on the augmented platform video dataset and 79.37% on the original SSBD dataset. The ConvLSTM and CNN+GRU models also achieved higher accuracy than the original SSBD dataset. Through this research, we underscore AI's potential in early ASD detection by automating the identification of stereotypic behaviors, thereby enabling timely intervention. We also emphasize the significance of utilizing expanded datasets from social media platform videos in augmenting model accuracy and robustness, thus paving the way for more accessible diagnostic methods.

• Structural Engineering and Mechanics
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• v.54 no.5
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• pp.909-922
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• 2015

The dynamic response and the mooring line tension of a 1/75 scale model of spar-type platform for 2.5 MW floating offshore wind turbine subject to one-dimensional regular harmonic wave are investigated numerically and verified by experiment. The upper part of wind turbine which is composed of three rotor blades, hub and nacelle is modeled as a lumped mass the scale model and three mooring lines are pre-tensioned by means of linear springs. The coupled fluid-rigid body interaction is numerically simulated by a coupled FEM-cable dynamics code, while the experiment is performed in a wave tank with the specially-designed vision and data acquisition system. The time responses of surge, heave and pitch motions of the scale platform and the mooring line tensions are obtained numerically and the frequency domain-converted RAOs are compared with the experiment.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.73-80
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• 2019

In Korea, a budget of tens of trillion won is put into the national R & D project every year. Thanks to these efforts, Korea's ICT industry is gaining global attention. However, there are still a lot of problems that are lacking in terms of the cycle of managing national ICT R&D projects. In particular, the issue of sharing is very insufficient throughout the cycle of the national ICT R&D. In this paper, In this paper, We propose a platfom that can be shared throughout the cycle of managing blockchain-based national ICT R&D projects. This platform we call the Perfect Sharing Project Platform (PSPP). We describe that PSPP can achieve excellent research results through information sharing of project process[1-2]. To support the perfect sharing, this platform uses a new notion of consensus algorithm, called POA (Proof of Atomicity). This platform is suitable for sharing information.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.363-364
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• 2022

The COVID-19 pandemic had substantial negative impacts and caused several disruptions to the global supply chain of the shipping industry. The key challenges identified in terms of maritime manpower are the Certificates of Competency (CoC) or the expiration and/or failure to complete refresher and/or revalidation courses, which directly hinder employment retention and lost opportunities at sea. To tackle this issue directly and swiftly, the creation of the APEC SEN Distance Learning Platform was suggested and approved by APEC as part of an official project. This paper introduces the APEC-wide accessible distance learning platform with the following key topics: the organisation and operation of the platform, the themes and content to be prioritised, the process of education, training, certification, and the ways to promote accreditation, mutual recognition on CoC, education and training videos by taking collaborative actions, and the development of content.

• Journal of Platform Technology
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• v.10 no.3
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• pp.11-20
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• 2022

South Korea is now recognized as a world leader in the field of digital government thanks to a president who had insight in the field of e-Government more than 20 years ago. Today, many countries around the world are establishing various strategies to cope with the great digital transformation beyond the industrial society and the information society. The Korean government is also establishing and promoting digital government policies to respond to such a global digital transformation. In South Korea, the digital platform government policy began in 2022. Therefore, it is an early stage of policy formation, and many details are not well known yet. Recently, the Korean government announced the vision, three goals, and five strategies for realizing a digital platform government. And specific digital platform government projects that can be implemented are selected. In order to successfully implement a digital platform government, the following three policies should be prioritized. First, the digital platform government should be approached from the perspective of total government innovation, not industry revival. Second, the political perspective should be excluded from ICT policy. Third, the vision and strategy of the digital platform government should be established and clearly presented to the public. And based on this, strong governance should be formed and strongly promoted centered on the leadership of the president.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.127-134
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• 2022

With the recent advent of the Fourth Industrial Revolution, the importance of the platform business is increasing. Most global companies with high market value are known as platform companies. This change is changing the business model of companies in various industries. However, existing studies have mainly focused on information-intensive industries and large companies. Therefore, this study attempted to analyze the case of Everybot, which is successfully growing in the service robot industry. Everybot is known as a company that produces robot cleaners. However, according to the result, the company has focused on developing autonomous driving technologies and pursuing platform-based business strategies rather than product-based ones. The results of this study have theoretical and practical implications by showing how domestic small and medium-sized robot companies apply platform-based business strategies to achieve long-term growth with gaining leadership in the personal service robotics market.