• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.15-22
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• 2020

In this paper, we proposed a deep learning based super-resolution method that combines Channel Attention and Spatial Attention feature enhancement methods. It is important to restore high-frequency components, such as texture and features, that have large changes in surrounding pixels during super-resolution processing. We proposed a super-resolution method using feature enhancement that combines Channel Attention and Spatial Attention. The existing CNN (Convolutional Neural Network) based super-resolution method has difficulty in deep network learning and lacks emphasis on high frequency components, resulting in blurry contours and distortion. In order to solve the problem, we used an emphasis block that combines Channel Attention and Spatial Attention to which Skip Connection was applied, and a Residual Block. The emphasized feature map extracted by the method was extended through Sub-pixel Convolution to obtain the super resolution. As a result, about PSNR improved by 5%, SSIM improved by 3% compared with the conventional SRCNN, and by comparison with VDSR, about PSNR improved by 2% and SSIM improved by 1%.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.109-113
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• 2020

Against the backdrop of low-carbon, green growth, many attention is focused on a sustainable society where humans and nature coexist. Carbon emissions increase with energy consumption, which is 40 percent of the world's energy consumption by buildings. Korea has a plan to make zero-energy houses mandatory only for new buildings in 2025, but it is relying on private technology investment for its technology. The reality is that the current technology costs more than 1.5 times more than general buildings, and private companies do not have many zero-energy house complexes other than experimental houses. This study aims to study the new model of zero energy house by introducing IOT system that efficiently observes and controls energy in zero energy house, monitoring pleasant environment on the web and introducing resident proper temperature maintenance system.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.163-170
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• 2021

Smart-textronics technology which enables functional textiles has recently been applied in various fields such as smart clothes, smart home and smart health care, and a variety of smart-textronics products have been developed. In this context, the smart-textronics product development process is proposed based on the systematic participatory design method in this paper. The proposed method consists of two phases: in-depth interviews and analyzing. In the phase of in-depth interviews, participants are asked to create journey maps that include activities, pain points and emotional status and to generate solution ideas with sketches and simple prototypes. In the analyzing phase, design researchers investigate the participants' journey maps, and create personas by identifying critical characteristics with the behavior pattern analysis. Then, each persona's needs are linked with value elements of the E3 value framework. Finally, pre-survey was conducted to identify smart-textronics market and a smart sofa design is proceeded as the case study to show the applicability of the proposed method.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.6_2
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• pp.1015-1024
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• 2020

By nature, smart construction technology is a convergence technology, therefore aptly constructing and running an information system is needed in order to effectively develop and maintain it. Thus, in this study, an information system prototype was developed for the creation and linking of high precision digital maps at road construction sites for the effective performance of the development of the Information Collecting and Analyzing Techniques in the Construction Site (ICAT). For this, (1) defined input/output (I/O) data of each technical detail of ICAT, (2) analyzed the data flow, (3 ) proposed an information system prototype for high precision digital maps development and connection. Based on the information system prototype constructed in this study, it was inferred that each technique and its information for the Smart Construction Technique Development Business was in a consistent flow. Developed information system prototype would enable effective cooperation between subjects directly involved in the technique development, by defining I/O data in advance. Moreover, it would be of value to practitioners for refining the output data from each technique, thereby linking databases and forming Entity Relationship Diagram.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.165-170
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• 2022

By reducing time spent outside, a shopping system was developed for middle-aged and elderly people who mainly use neighborhood marts and neighborhood mart managers. The main functions of this app are direct shopping and online shopping, and it was developed using QR code using Zxing library on Android and Kakao Map using Kakao API. In addition, it provides information such as payment statistics and bulletin board posts that members need through recycler view and graphs in an easy-to-read manner. Through this system, members can efficiently manage by reducing fatigue when using the mart through direct purchase using QR code and delivery through map, and reducing manpower wastage as a mart manager. Also, as a mart manager, more consumers will be able to sell more items.

• Journal of Industrial Convergence
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• v.17 no.4
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• pp.69-75
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• 2019

In this study, we developed a world map learning system for elementary education that uses Google Cloud platform STT, Dialog Flow, and fan holograms to recognize the voices of learners and to show and explain three-dimensional images of suitable results as holograms. As a result of the experiments and interviews, it is expected to be helpful for improving the learning effect by inducing students' interest and immersion and is expected to be effectively used for collaborative learning and education for students with disabilities.

• Journal of Technology Innovation
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• v.19 no.2
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• pp.77-97
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• 2011

Information technologies are changing rapidly in recent years because of the latest IT development and technology convergence. Therefore, government tries to choose technologies required to achieve mid and long-term strategic technical development target and present technology road map. We established national defense scientific technology plan process for weapon systems. However, national defense IT plan process has not been established yet. Accordingly, in this paper, we suggested outlook of future national defense informationization through national defense Information Technology environment analysis, and discovered future potential Information Technology for national defense through methodology of investigation and analysis and suggested Defense IT Planning development.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.325-326
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• 2019

서비스화(servitization)와 공유경제 패러다임이 확산되면서 서비스 산업에서도 IT기술을 융합시킨 다양한 형태의 새로운 비즈니스가 성공적으로 정착되고 있다. 특히 대중교통 서비스 산업에서 우버(Uber) 택시는 IT기술과 공유경제 개념을 절묘하게 접목시킨 새로운 차원의 성공적인 공유택시 비즈니스 모델로 자리매김하였고, IT기술을 적용한 교통예약 소프트웨어는 공유택시의 차별적 경쟁우위를 확보하기 위한 중요한 수단이 되고 있다. 공유택시 예약 프로그램은 택시이용자에게 신속하고 편리함을 제공할 뿐만 아니라 에너지 절약, 교통체증으로 인한 스트레스 완화 등의 많은 사회적 혜택과 이익을 제공하고 있기 때문에, 여러 분야에서 다양한 연구가 진행되고 있다. 최근 중국에서는 보다 진보된 공유택시 예약 프로그램이 공유택시에 접목되면서 공유택시 이용객이 급히 증가하고 있으며, 이와 함께 공유택시 차별화에 핵심적인 역할을 하는 소프트웨어 시장의 경쟁도 가속화 되고 있다. 그러나, 이용객을 대상으로 강력범죄 발생빈도 증가와 이로 인한 부정적인 여론의 급속한 확산은 공유택시 산업발전에 심각한 방해요인이 되고 있지만, 근본적인 해결방법에 관한 연구는 미비한 실정이다. 따라서 본 연구는 공유택시 예약 프로그램에 이용객의 안전을 위한 컨텐츠 개발과 적용을 통해 공유택시 이용객의 불안해소와 공유택시 산업 발전에 기여할 수 있는 방법을 제안하고자 하였다. 연구방법은 중국현지의 공유택시 이용객을 대상으로 실증연구를 진행할 계획이며, 고객여정맵(CJM)과 Kano 분석을 통해 결과와 시사점을 도출할 계획이다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.11a
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• pp.104-107
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• 2018

최근 촬영 기기의 기술발전으로 인해 디지털 영상의 해상도가 증가함에 따라 선명한 디지털 영상에 대한 요구가 증가하고 있다. 이러한 요구에도 불구하고 디지털 영상 내 가우시안 잡음 (gaussian noise)은 촬영기기를 통해 영상 획득 및 처리 과정에서 발생하여 화질을 열화 시킨다. 디지털 이미지에서 발생하는 가우시안 잡음을 제거하기 위해서 기존의 저대역 통과 필터 (low-pass filter: LPF)를 사용하면 잡음은 제거되지만, 블러링 현상 (blurring phenomenon)이 나타난다. 이러한 문제점을 개선하기 위해 소벨 연산자 (sobel operator)를 사용하여 영상 내 에지 맵 (edge-map)을 생성하여 에지 영역과 동질 영역을 구분한다. 에지영역에서는 약한 저역 필터 (weak low-pass filter)를 사용하고, 그 외의 이미지 영역에서는 강한 저역 필터 (strong low-pass filter)를 사용하는 알고리듬을 제안하였다. 그리고 다양한 이미지에 대하여 기존 알고리듬과 제안한 알고리듬의 적용한 결과를 통해 주관적 화질 비교하였고 객관적 지표로 최대 신호 대 잡음비 (peak signal-to noise ratio: PSNR)와 구조 유사성 (structural similarity: SSIM)을 사용하여 성능을 평가하였다. 실험결과를 통해 제안된 알고리듬이 잡음 제거 및 외곽선 보존의 우수함을 확인하였다.

• Journal of KIBIM
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• v.11 no.4
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• pp.1-9
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• 2021

Comparing to general scanning data, the 3D digital map for large construction sites and complex buildings consists of millions of points. The large construction site needs to be scanned multiple times by drone photogrammetry or terrestrial laser scanner (TLS) survey. The scanned point cloud data are required to be registrated with high resolution and high point density. Unlike the registration of 2D data, the matrix of translation and rotation are used for registration of 3D point cloud data. Archiving high accuracy with 3D point cloud data is not easy due to 3D Cartesian coordinate system. Therefore, in this study, iterative closest point (ICP) registration method for improve accuracy of 3D digital map was employed by different overlap ratio on 3D digital maps. This study conducted the accuracy test using different overlap ratios of two digital maps from 10% to 100%. The results of the accuracy test presented the optimal overlap ratios for an ICP registration method on digital maps.