• Spatial Information Research
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• v.21 no.5
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• pp.83-91
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• 2013

As ICTs are more advanced, in the current Smart Society that can be characterized by the terms of real-time, mobility and customization, the area of Geospatial Information is required to react to the needs of the society in more practical ways. Because Geospatial Information is getting more accepted as one of the very basic social infrastructure for everyday life activities in all sectors of life. In accordance, the legal basis of convergence Geospatial Information services are described on Geospatial Information Industry Support Law(Article 2, Item 7 & Article 4 Item 5). But it is required to come up with more detailed and practical definition of convergence GIS with more detailed supporting policies. In this context, this study aims at investigating what the needs of Geospatial Information services are in the Smart Society, and suggesting the policy directions and realization strategies of convergence GIS based on spatial hierarchy from global to local.

• Journal of Korea Multimedia Society
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• v.23 no.7
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• pp.870-882
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• 2020

It is that failure of equipment at the factory site causes personal injury and property damage. We are required a real-time monitoring and risk forecasting techniques to prevent for equipment failure. In this paper, we proposed a 3-phase smart plug and real-time monitoring system that can be used in factories, and collected environmental information and power information using a smart plug to analyze the data. In order to analyze the correlation between the risk situation and the collected data, we predicted the risk situation using Linear Regression, SVM, and ANN algorithms. As a result, the SVM and ANN algorithms obtained high predictive accuracy and developed a mobile app that could use it to check the risk forecast results.

• Journal of Korea Multimedia Society
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• v.16 no.7
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• pp.879-887
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• 2013

In the recently diversified web environment, the existing methodologies for studying and evaluating the usability of infographics have limit in being applied to new user experience environment. To ensure effective web design that considers various user environments, research needs to be done for such usability of infographics that executes 'simplification and compression of information'. The purpose of this study is to understand the expandability of web-based infographic design, re-establish its concept, and produce the elements involved in the usability evaluation to come up with effective data on user experience. It is expected that this study will be used as a basic research for elucidating the connection to type-based or experienced-based data through convergence of various areas of information technology in the continuously transforming smart media environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.343-347
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• 2012

Non-linear equalization techniques using decision feedback structure are highly demanded for cancellation of intersymbol interferences occurred in severe channel environments. In this paper decision feedback structure is applied to the linear blind equalizer algorithm that is based on information theoretic learning and a randomly generated symbol set. At the decision feedback equalizer (DFE) the random symbols are generated to have the same probability density function (PDF) as that of the transmitted symbols. By minimizing difference between the PDF of blind DFE output and that of randomly generated symbols, the proposed DFE algorithm produces equalized output signal. From the simulation results, the proposed method has shown enhanced convergence and error performance compared to its linear counterpart.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1951-1956
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• 2013

Distribution-matching type algorithms based on a set of symbols generated in random order provide a limited performance under biased impulsive noise since the performance criterion for the algorithms has no variables for biased signal. For the immunity against biased impulsive noise, we propose, in this paper, a modified performance criterion and derived related blind algorithms based on augmented filter structures and the distribution-matching method using a set of random symbols. From the simulation results, the proposed algorithm based on the proposed criterion yielded superior convergence performance undisturbed by the strong biased impulsive noise.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1377-1385
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• 2016

Conventional X-band marine radar has been used as one of the effective tools for collecting and retrieving ocean surface information parameters for three decades. Several wave information extracting algorithms have been designed in such a way that they can be utilized for efficiently estimating sea surface wave parameters such as current velocities, wave direction, significant wave heights in VTS (Vessel Traffic Service). However, their performances are still restricted. For the purpose of overcoming the performance limits, in this paper, first the conventional algorithms are analyzed and their performances are compared, and then a new control algorithm is proposed. Furthermore, we try to improve the estimation performances of typical wave parameters including wave directions and significant wave heights by introducing linear regression model in the process of computing wave information extraction. Through several simulations with the X-band radar images, it is shown that the proposed method is very effective in estimating the wave information compared to the real measured buoy data.

• Journal of Internet of Things and Convergence
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• v.9 no.3
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• pp.21-26
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• 2023

The development and distribution approach of applications is transitioning from a monolithic architecture to microservices and containerization, a lightweight virtualization technology, is becoming a core IT technology. However, unlike traditional virtual machines based on hypervisors, container technology does not provide concrete security boundaries as it shares the same kernel. According to various preceding studies, there are many security vulnerabilities in most container images that are currently shared. Accordingly, attackers may attempt exploitation by using security vulnerabilities, which may seriously affect the system environment. Therefore, in this study, we propose an efficient automated deployment pipeline design to prevent the distribution of container images with security vulnerabilities, aiming to provide a secure container environment. Through this approach, we can ensure a safe container environment.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.71-80
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• 2022

The purpose of this study was to evaluate the effects of the non-pharmacological intervention on depressive symptoms in the older adults with mild cognitive impairment. A total of 1,147 studies were retrieved from PubMed, CINAHL, PsycINFO, Science direct, KISS, RISS, and DBPia. Twenty-one studies which met the criteria were selected and the quality assessment was conducted independently by two investigators. The effect size of non-pharmacological intervention was estimated using Comprehensive Meta-Analysis 3.0. The overall effect size turned out to be the medium effect size (Hedges' g=-0.68, 95% CI=-1.01~-0.36). As a result of the subgroup analysis, the intervention type was statistically significant. The effect size of cognitive intervention (Hedges' g=-1.03, 95% CI=-1.43~-0.61) and multi component intervention (Hedges' g=-0.97, 95% CI=-1.63~-0.33) was greater than excise intervention (Hedges' g=-0.53, 95% CI=-1.16~0.03). This study shows that non-pharmacological intervention was also effective in reducing depressive symptoms in the older adults with mild cognitive impairment. Based on the research results, it is expected that various non-pharmacological intervention studies will be attempted to improve cognitive function and depressive symptoms of the older adults with mild cognitive impairment.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.577-588
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• 2013

Main purpose of this study is to suggest improvement of environmental information disclosure system and to find out counterplan for hospitals based on literal review and 41 hospitals/clinic's environmental information data(2011) released by the Korean ENV-INFO SYSTEM. The research methodology used to analyze 18 items divided between 7 for compulsory and 11 for voluntary was primarily quantitative. Research subjects was comprised of 33 general hospitals, 6 hospitals and 1 clinic. Environmental information disclosure system needs to be improved as follows: (1) enlargement of citizen participation, (2) upgrade of 'Company Overview', (3) clear definition of items, (4) unifying measure unit, (5) close verification, (6) creating standards for additional informations. The following activities are critical for hospitals: (1) reliability enhancement of hospital's data, (2) reorganization strategy & green management system, (3) water/energy reduction data accumulation, (4) greenhouse gas emission reduction planning, (5) introduction of green purchase guidelines, (6) digital publication of environmental(sustainable) report.

• Journal of Broadcast Engineering
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• v.16 no.6
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• pp.1018-1025
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• 2011

Scalable Video Coding (SVC) extension of H.264/AVC is a new video coding standard for media convergence by providing diverse videos of different spatial-temporal-quality layers with a single bitstream. Recently, real-time SVC codecs are being developed for the application areas of surveillance video and mobile video, etc. This paper presents the design and implementation of a H.264/SVC decoder based on an embedded DSP using Open SVC Decoder (OSD) which is a real-time software decoder designed for the PC environment. The implementation consists of porting C code of the OSD software from PC to DSP environment, profiling the complexity performance of OSD with further optimization, and integrating the optimized decoder into the TI Davinci EVM (Evaluation Module). 50 QCIF/CIF frames or 15 SD frames per second can be decoded with the implemented DSP-based SVC decoder.