• Journal of Digital Convergence
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• v.11 no.12
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• pp.381-386
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• 2013

As the new variation malicious codes of android platform are drastically increasing, the preparation plan and response is needed. We proposed a high-interaction client honeypot that applied to the android platform. We designed flow for the system. Application plan and the function was analyze. Each detail module was optimized in the Android platform. The system is equipped with the advantage of the high-interaction client honeypot of PC environment. Because the management and storage server was separated it is more flexible and expanded.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.06a
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• pp.163-165
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• 2014

In this paper, we propose a world's first programmable video processing platform for video quality enhancement of 8K ($7680{\times}4320$) UHD (Ultra High Definition) TV at 60 frames per second. To support huge computation and memory bandwidth of video quality enhancement for 8K resolution, the proposed platform has unique features like symmetric multi-cluster architecture for data partitioning, ring data-path between clusters to support data pipelining, on-the-fly processing architecture to reduce DDR bandwidth, flexible hardware to accelerating common kernel in video enhancement algorithms. In addition to those features, general programmability of SRP (Samsung reconfigurable processor) as main core of the proposed platform makes it possible to upgrade continuously video enhancement algorithm even after the platform is fixed. This ability is very important because algorithms for 8K DTV is under development. The proposed sub-system has been embedded into SoC (System on Chip) and new 8K UHD TV using the programmable SoC is expected at CES2015 for the first time in the world.

• KIEAE Journal
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• v.8 no.2
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• pp.71-78
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• 2008

Subway is a major transportation in the city that is allied to the daily life of people. As a public space, subway station must satisfy the citizens with convenience, safety and esthetic factors. The bench which is one of the major street furniture on the subway platform has a lot of physical contact. Therefore the design of benches must be considered in the aspects of not only aesthetic design but also ergonomic design. The goal of this study is to find out the current conditions and problems of benches and at the same time suggest how to arrange, design, and manage them at the proper manners at subway platform. The result of the study is as follows. First, the problems of design are that the benches at a same platform have various design, the saturation of color is too high, and the design is unfashionable. The second, at the management part there is no such a total management system and specialist for the street furniture section and lack of rational management regulations. The third, results of a new survey suggest that citizens think negatively about present bench's conditions such as design and administration.

• Journal of Broadcast Engineering
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• v.20 no.5
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• pp.774-777
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• 2015

This paper introduces the world's first programmable video-processing platform for the enhancement of the video quality of the 8K(7680x4320) UHD(Ultra High Definition) TV operating up to 60 frames per second. In order to support required computing capacity and memory bandwidth, the proposed platform implemented several key features such as symmetric multi-cluster architecture for parallel data processing, a ring-data path between the clusters for data pipelining and hardware accelerators for computing filter operations. The proposed platform based on RP(Reconfigurable Processor) processes video quality enhancement algorithms and handles effectively new UHD broadcasting standards and display panels.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.8 s.173
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• pp.192-198
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• 2005

In this paper, we propose a new training system for the improvement of equilibrium sense using unstable platform. The equilibrium sense, which provides orientation with respect to gravity, is important to integrate the vision, somatosensory and vestibular function to maintain the equilibrium sense of the human body. In order to improve the equilibrium sense, we developed the software program such as a block game, pingpong game using Visual C++. These training system for the equilibrium sense consists of unstable platform, computer interface and software program. The unstable platform was a simple structure of elliptical-type which included tilt sensor, wireless RF module and the device of power supply. To evaluate the effect of balance training, we measured and evaluated the parameters as the moving time to the target, duration to maintain cursor in the target of screen and the error between sine curve and acquired data. As a results, the moving time to the target and duration to maintain cursor in the target was improved through the repeating training of equilibrium sense. It was concluded that this system was reliable in the evaluation of equilibrium sense. This system might be applied to clinical use as an effective balance training system.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.27 no.11
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• pp.949-958
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• 2016

This paper presents the new development result of the multi-band, the multi-mode SDR(Software Defined Radar) platform. The SDR hardware platform is implemented by using the reconfigurable multi-band RF transceiver and antenna modules of S, X, and K-bands, and a programmable signal processing module. The SDR software platform is implemented by using the multi-mode waveform generation of CW, Pulse, FMCW, and LFM Chirp as well as the adaptable algorithm library of signal processing and open API software modules. Through the integrated test of the SDR platform, the operational performance was verified in real-time. Also, through the field-application test, the ground target and air-vehicle drone target were successfully detected and their test results were presented.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.3
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• pp.206-212
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• 2009

This paper presents an optimized integrated task planning and control approach for manipulating a nonholonomic robot by mobile manipulators. Then, we derive a kinematics model and a mobility of the mobile manipulator(M2) platform considering it as the combined system of the manipulator and the mobile robot. to improve task execution efficiency utilizing the redundancy, optimal trajectory of the mobile manipulator(M2) platform are maintained while it is moving to a new task point. A cost function for optimality can be defined as a combination of the square errors of the desired and actual configurations of the mobile robot and of the task robot. In the combination of the two square errors, a newly defined mobility of a mobile robot is utilized as a weighting index. With the aid of the gradient method, the cost function is minimized, so the path trajectory that the M2 platform generates is optimized. The simulation results of the 2 ink planar nonholonomic M2 platform are given to show the effectiveness of the proposed algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7508-7512
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• 2015

We propose a brain-machine interface(BMI) based human-robot interaction(HRI) platform which operates machines by interfacing intentions by capturing brain waves. Platform consists of capture, processing/mapping, and action parts. A noninvasive brain wave sensor, PC, and robot-avatar/LED/motor are selected as capture, processing/mapping, and action part(s), respectively. Various investigations to ensure the relations between intentions and brainwave sensing have been explored. Case studies-an interactive game, on-off controls of LED(s), and motor control(s) are presented to show the design and implementation process of new BMI based HRI platform.

• Journal of Distribution Science
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• v.21 no.1
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• pp.33-43
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• 2023

Purpose: The present study demonstrates the netnography technique to explore and understand crowds' perceptions on the donation distribution by charitable crowdfunding platform official social media, Facebook. Research design, data and methodology: This paper conducts a netnography design to examine the perceptions of online communities on four prominent charitable crowdfunding platforms' Facebook. A total of 93 comments are studied by collecting and analyzing their comments thematically. Results: This study illustrates two main themes which are 'Recommended Review' and 'Non-Recommended Review'. 'Recommended Review' can be explained into six sub-themes which are 'Role of Religion', 'Encouragement to Donate', 'Platform Reliability', 'Volunteering Value', 'Platform Support', and 'Donation Convenience'. While 'Non-Recommended Review' reveals that 'Rejected Donation Amounts', 'Rejection of Advertisements', and 'Review by Authorities'. Conclusion: Online community comments play an important role in providing input to the experience of donating through charitable crowdfunding. The crowdfunding platform can make a benchmark for the services offered. The comments are needed to be given attention by maintaining the interaction between the platform and donors to recruit new donors and maintain existing donors. This study provides better understanding on online community perception towards charitable crowdfunding platforms. This study also contributes the discussion on charitable crowdfunding and online marketing literatures.

• Fashion & Textile Research Journal
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• v.25 no.1
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• pp.72-81
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• 2023

As changes in social and economic paradigms are accelerating, and non-contact has become the new normal due to the COVID-19 pandemic, metaverse services that build societies in online activities and virtual reality are spreading rapidly. This study analyzes the perception and trend of metaverse fashion using big data. TEXTOM was used to extract metaverse and fashion-related words from Naver and Google and analyze their frequency and importance. Additionally, structural equivalence analysis based on the derived main words was conducted to identify the perception and trend of metaverse fashion. The following results were obtained: First, term frequency(TF) analysis revealed the most frequently appearing words were "metaverse," "fashion," "virtual," "brand," "platform," "digital," "world," "Zepeto," "company," and "game." After analyzing TF-inverse document frequency(TF-IDF), "virtual" was the most important, followed by "brand," "platform," "Zepeto," "digital," "world," "industry," "game," "fashion show," and "industry." "Metaverse" and "fashion" were found to have a high TF but low TF-IDF. Further, words such as "virtual," "brand," "platform," "Zepeto," and "digital" had a higher TF-IDF ranking than TF, indicating that they had high importance in the text. Second, convergence of iterated correlations analysis using UNICET revealed four clusters, classified as "virtual world," "metaverse distribution platform," "fashion contents technology investment," and "metaverse fashion week." Fashion brands are hosting virtual fashion shows and stores on metaverse platforms where the virtual and real worlds coexist, and investment in developing metaverse-related technologies is under way.