• Convergence Security Journal
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• v.16 no.7
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• pp.139-145
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• 2016

Recently, The attack on the USB and network are increasing in many domestic infrastructure. These attacks are the most independent of insider intention, caused by the Anthropogenic Manipulation. These attacks are Anthropogenic Response Measures for Physical Security. and Representative Technology has CCTV, Access Control System, Sensor Technology. However, Physical Security, it is represented by several Product family according to the Market, has become an obstacle but rather a variety of Physical Security Technology Development and Application. As the Anthropogenic Attacks have occur continually in the network, it need to the proper Physical Response Techniques in this situation. Therefore, In this paper, we will find out about the awareness and demand trends of Physical Security. And The Physical Vulnerable Factors of Network. Thereby this is expected to be utilized as a basis for the domestic Physical Security Technology development and deployment Road-map in a future.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.181-187
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• 2018

This study was to develop and apply the avatar art activity as a career search program to find out the possibility of oneself based on self-understanding and to find out the value of work. Furthermore, this study has suggested the effect obtained by appreciating their own business card and images in the use of color code media. Art program has been conducted for five sessions in 'past tense' 'present tense' and 'future tense' on first graders in Middle School. As a result education effect obtained from the art program for career exploration in manufacturing Avatar is as follows. First, there was an effect as to how students ended up knowing their inner strength through mind-map realizing their characteristics and personal interest. Secondly, Avatar was manufactured by enhancing an understanding about them through self-exploration. Third, students appreciated their 'business card' and 'video clip' by using color code media building self-leading attitude in realizing career design.

• Journal of the Institute of Convergence Signal Processing
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• v.4 no.1
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• pp.36-40
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• 2003

A number of embedded wavelet image coding methods have been Proposed since the introduction of EZW(Embedded Zerotree Wavelet) algorithm. A common characteristic of these methods is that they use fundamental ideas found in the EZW algorithm. Especially, one of these methods is the SPIHT(Set Partitioning in Hierarchy Trees) algorithm, which became very popular since it was able to achieve equal or better performance than EZW without having to use an arithmetic encoder. The SPIHT algorithm is computationally very simple, but even so it provides excellent numerical and visual results. But the evaluation of its time complexity is no more than the relative result of experimental comparisons and the strict time complexity analysis wasn't taken until now. In this paper, we analyze strictly the processing time complexity of SPIHT algorithm and prove that the time complexity for one bit-plane processing is O( nlog $_2$n) in worst case.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.16-22
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• 2020

Since it is difficult for individual power producers and non-professionals who lack basic knowledge to control, manage, and operate facilities through EMS (Energy Management System), augmented reality and virtual reality monitoring systems are applied. However, in the existing systems, data access efficiency is inferior due to the process of analyzing column values for analog signal values collected from sensors and converting data after combining the columns. In addition, high-speed operation processing is difficult due to a large number of indexes for accommodating access patterns for various analog signal waveforms. Therefore, in this paper, a bitmap generator is inserted into a non-tree structure to convert the data collected from power facilities into physical property information, and the converted information is encrypted with a common key, so that the resources for the resources shared between each device are We propose a method of exchanging data for an augmented reality-based power system that is controlled by measurement.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.19-26
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• 2020

In this paper, we propose a method to analyze the loss region of the dictionary-based super resolution result learned for image quality improvement and to map the learning data according to the analyzed loss region. In the conventional learned dictionary-based method, a result different from the feature configuration of the input image may be generated according to the learning image, and an unintended artifact may occur. The proposed method estimate loss information of low resolution images by analyzing the reconstructed contents to reduce inconsistent feature composition and unintended artifacts in the example-based super resolution process. By mapping the training data according to the final interpolation feature map, which improves the noise and pixel imbalance of the estimated loss information using a Gaussian-based kernel, it generates super resolution with improved noise, artifacts, and staircase compared to the existing super resolution. For the evaluation, the results of the existing super resolution generation algorithms and the proposed method are compared with the high-definition image, which is 4% better in the PSNR (Peak Signal to Noise Ratio) and 3% in the SSIM (Structural SIMilarity Index).

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.88-112
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• 2009

This study attempts to define IT high-level human resources and to investigate past IT high-level human resources development (HRD) policies in order to promote IT HRD policy efficiently. Benchmarking implications were derived from comparative studies of foreign high-level HRD policies and we suggest IT high-level HRD Policy in the framework of National Future Strategy. The results of this study are rich in implications for implementation of IT HRD related to national R&D road-map in the field of information technology, the supply spread maintenance and the vision change of high-level HRD to cultivate global competitiveness, IT-based Fusion Technology HRD, and R&D related HRD policies and action plans.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2724-2730
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• 2015

Internet of Things (IoT) is possibly the most widely discussed technological concept in today's technology circles. This technology is expected to dramatically change not only how we work but also how we live. The concept of IoT basically means a web of connected devices which can be controlled over a data network. With cost of technology required to control these devices going down and increasing internet connectivity through smartphones, IoT is expected to be an all pervasive technology in the next 10 years. In this paper, we study the technological landscape of this fast growing technology domain from an Intellectual Property (Patents) perspective. We find that the patent distribution in this domain is very fragmented with the top patent applicants in the field holding around 5% of the total patents. Especially, the US geography has seen the maximum patent filings and is closely followed by the big Asian markets of Japan and Korea.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.48-55
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• 2019

This study argued problems and improvement of export support system for SMEs in the uncertain world global trade environment with G2(US-China) risk. In SMEs export support system, The authorities needs stronger control tower to promote consistent export support policies. There is also another problem of repetitious work that export support system has been operated by individual project. In order to overcome these problems, first, the authorities set clearly organization to control various export support policies. Second, export support system needs the efficient operation based on long term road map. Third, the authorities defines clear roles and responsibilities of supporting units, and enhances cooperation between the different organizations. Finally, the system should arrange performance evaluation index and feedback system to build the desirable export support system.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.223-233
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• 2021

MyData industry became possible with the revision of the three data-related bills on August 2020, and from February 2021, each individual can make MyData financial service through the app provided by MyData providers. In this study, in order to understand the user experience trend of MyData-based financial asset management apps in the user-centered financial service era, the usability evaluation of 11 apps from 8 MyData providers was conducted for 300 adults, then average value comparison, radial graph analysis, and heatmap analysis were conducted. In app design preference, asset list type was the most preferred type, followed by asset comparison·list type. As for the expected perception of the future benefits that can be enjoyed through My Data, 'diversification of convenient services' was the highest at 45.3%, and as a negative factor felt by users, personal information-related factors were the highest at 71.4%. The results of this study can be used as basic data for the development and improvement of user interfaces for MyData platforms.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.45-52
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• 2021

In this paper, we proposed an Atrous Residual U-Net (AR-UNet) to improve the segmentation accuracy of semantic segmentation method based on U-Net. The U-Net is mainly used in fields such as medical image analysis, autonomous vehicles, and remote sensing images. The conventional U-Net lacks extracted features due to the small number of convolution layers in the encoder part. The extracted features are essential for classifying object categories, and if they are insufficient, it causes a problem of lowering the segmentation accuracy. Therefore, to improve this problem, we proposed the AR-UNet using residual learning and ASPP in the encoder. Residual learning improves feature extraction ability and is effective in preventing feature loss and vanishing gradient problems caused by continuous convolutions. In addition, ASPP enables additional feature extraction without reducing the resolution of the feature map. Experiments verified the effectiveness of the AR-UNet with Cityscapes dataset. The experimental results showed that the AR-UNet showed improved segmentation results compared to the conventional U-Net. In this way, AR-UNet can contribute to the advancement of many applications where accuracy is important.