• 한국BIM학회 논문집
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• 제9권1호
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• pp.42-51
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• 2019

Maintenance of aging structures has attracted societal attention. Maintenance of the aging structure can be efficiently performed with a digital twin. In order to maintain the structure based on the digital twin, it is required to accurately detect the damage of the structure. Meanwhile, deep learning-based damage detection approaches have shown good performance for detecting damage of structures. However, in order to develop such deep learning-based damage detection approaches, it is necessary to use a large number of data before and after damage, but there is a problem that the amount of data before and after the damage is unbalanced in reality. In order to solve this problem, this study proposed a method based on Generative adversarial network, one of Generative Model, for generating acceleration data usually used for damage detection approaches. As results, it is confirmed that the acceleration data generated by the GAN has a very similar pattern to the acceleration generated by the simulation with structural analysis software. These results show that not only the pattern of the macroscopic data but also the frequency domain of the acceleration data can be reproduced. Therefore, these findings show that the GAN model can analyze complex acceleration data on its own, and it is thought that this data can help training of the deep learning-based damage detection approaches.

• Journal of Positioning, Navigation, and Timing
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• 제12권1호
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• pp.43-49
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• 2023

In modern wireless communication systems including beamformers or location-based services (LBS), which employ multiple antenna elements, estimating the number of signals is essential for accurately determining the quality of the communication service. Representative signal number estimation algorithms including the Akaike information criterion (AIC) and minimum description length (MDL) algorithms, which are information theoretical criterion models, determine the number of signals based on a reference value that minimizes each criterion. In general, increasing the number of elements mounted onto the array antenna enhances the performance of estimating the number of signals; however, it increases the computational complexity of the estimation algorithm. In addition, various configurations of array antennas for the increased number of antenna elements should be considered to efficiently utilize them in a limited location. In this paper, we introduce an efficient signal number estimation algorithm based on the beamspace based AIC and MDL techniques that reduce the computational complexity by reducing the dimension of a uniform circular array antenna. Since this algorithm is based on a uniform circular array antenna, it presents the advantages of a circular array antenna. The performance of the proposed signal number estimation algorithm is evaluated through computer simulation examples.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제29권1호
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• pp.21-28
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• 2023

Purpose: Evidence-based design is the process of making design decisions based on reliable research to achieve the best results, so it is important to accumulate reliable evidence through research. Therefore, the purpose of this study is to present new evidence by applying the evidence-based design process to improve the digital signage for each room spaces in hospitals and verifying its effectiveness. Method: Through the 8-step process of evidence-based design, improved digital signage for each room spaces are installed. It conducted surveys and statistical analysis to prove hypotheses by linking design and research. Results: The hypotheses established in the study are: 1) improvement in the readability of digital signage is correlated with patient satisfaction; 2) Improving the intuitiveness of digital signage correlates with patient satisfaction; 3) Improving the sufficiency of digital signage correlates with patient satisfaction. As a result of satisfaction analysis and correlation analysis, all of the above hypotheses were proven. Implications: Although the hospital sign system is the element that patients rely on most intuitively in the long journey of reception, waiting, examination, and treatment, there is insufficient evidence to refer to or apply it when designing. It is necessary to expand future research to expand the evidence that can be applied to hospital sign design.

• 대한의생명과학회지
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• 제29권2호
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• pp.53-57
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• 2023

The main objective of pathologists is to achieve accurate lesion diagnoses, which has become increasingly challenging due to the growing number of pathological slides that need to be examined. However, using digital technology has made it easier to complete this task compared to older methods. Digital pathology is a specialized field that manages data from digitized specimen slides, utilizing image processing technology to automate and improve analysis. It aims to enhance the precision, reproducibility, and standardization of pathology-based researches, preclinical, and clinical trials through the sophisticated techniques it employs. The advent of whole slide imaging (WSI) technology is revolutionizing the pathology field by replacing glass slides as the primary method of pathology evaluation. Image processing technology that utilizes WSI is being implemented to automate and enhance analysis. Artificial intelligence (AI) algorithms are being developed to assist pathologic diagnosis and detection and segmentation of specific objects. Application of AI-based digital pathology in biomedical researches is classified into four areas: diagnosis and rapid peer review, quantification, prognosis prediction, and education. AI-based digital pathology can result in a higher accuracy rate for lesion diagnosis than using either a pathologist or AI alone. Combining AI with pathologists can enhance and standardize pathology-based investigations, reducing the time and cost required for pathologists to screen tissue slides for abnormalities. And AI-based digital pathology can identify and quantify structures in tissues. Lastly, it can help predict and monitor disease progression and response to therapy, contributing to personalized medicine.

• 한국전자거래학회지
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• 제7권3호
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• pp.21-48
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• 2002

ebXML is the international technical framework specification that enables Internet-based B2B electronic business using XML, It was standardized by UN/CEFACT and OASIS on May 2001. Registry and Repository is the core of ebXML. It supports registry services which is composed of object management service and object query management service. The object management service manages the object's life cycle and the object query management service provides a mechanism to approach metadata of stored objects. Up to now, implementations of ebXML Registry object query management system don't support full functions of the specification completely. We implemented all the functions of ebXML Registry Service Specification vl.0. This system supports Browse ＆ Drilldown Query, Filter Query, SQL Query, and Object Retrieval Query services. And it also supports Content-based Query service which is not specified in the ebXML RS specification. The Content-based Query service is a repository service which makes it possible In pose content based queries of repository items and which will be specified on the RS specification v2.0.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1996년도 학술대회
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• pp.175-180
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• 1996

In this paper, a new image segmentation method based on merging of two low contrast neighbor regions iteratively is proposed. It is suitable for very low bit rate coding. The proposed method reduces efficiently contour information and preserves subjective and objective image quality. It consists of image segmentation using 4-level hierarchical structure based on mathematical morphology and 1-level region merging structure using the contrast difference of two adjacent neighbor regions. For each segmented region of the third level, two adjacent neighbor regions having low contrast difference value in fourth level based on contrast difference value is merged iteratively. It preserves image quality and shows the noticeable reduction of the contour information, so that it can improve the bottleneck problem of segmentation-based coding at very low bit rate.

• 한국멀티미디어학회논문지
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• 제21권10호
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• pp.1171-1181
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• 2018

Most simulated shooting systems are TDM based method and dot type laser has been used. The proposed laser pattern based simulated shooting system is a new approach. It can distinguish shooters by calculating the angle of bar shaped laser pattern by each shooter. Unlike the existing TDM method, it is possible to distinguish shooters and lanes by patterns so that there is no time division restriction like TDM method. It is also possible to recognize overlapped impact points of laser patterns launched by multiple shooters. After the laser pattern based simulated shooting system was implemented, general shot and overlapped shot were tested for each lane. Through experiments, we confirmed the possibility of continuous shooting. In addition, it is possible to separate the pattern by each lane, and 100% recognition result was obtained even if impact points overlapped.

• 기술혁신연구
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• 제11권2호
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• pp.71-89
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• 2003

Since technological innovation, adoption, and diffusion is a fundamental engine for a company's competitiveness and in turn a nation's industrial development, diffusion of technological innovation has been one of popular research themes to many researchers and scholars for decades. Especially, in today's knowledge-based economy, the IT technology became a fundamental infrastructure for a nation and thus their impact on a nation's economy has grown to be tremendous. This paper investigates the patterns of technological diffusion of 16 telecommunications services. Firstly, we identify the optimal diffusion model which represents the 15 IT innovation best in terms of goodness-of-fit. Secondly, based on the best model identified we cluster the 16 IT innovations according to their diffusion characteristics such as penetration rate and diffusion speed. Lastly, we categorize the innovations in terms of technology (voice-based innovation and data-based innovation) and demand (household-use and business-use) attributes, and compare their diffusion patterns and found some meaningful difference in diffusion patterns. We hope the result helpful to corporate managers as well as policy makers in relevant areas.

• ETRI Journal
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• 제35권6호
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• pp.1021-1028
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• 2013

Automatic facial expression recognition is a widely studied problem in computer vision and human-robot interaction. There has been a range of studies for representing facial descriptors for facial expression recognition. Some prominent descriptors were presented in the first facial expression recognition and analysis challenge (FERA2011). In that competition, the Local Gabor Binary Pattern Histogram Sequence descriptor showed the most powerful description capability. In this paper, we introduce hybrid facial representations for facial expression recognition, which have more powerful description capability with lower dimensionality. Our descriptors consist of a block-based descriptor and a pixel-based descriptor. The block-based descriptor represents the micro-orientation and micro-geometric structure information. The pixel-based descriptor represents texture information. We validate our descriptors on two public databases, and the results show that our descriptors perform well with a relatively low dimensionality.

• 디지털융복합연구
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• 제9권5호
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• pp.203-213
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• 2011

본 연구는 국민 친화적인 공공서비스를 발굴하고, 유비쿼터스 관련 산업의 발전을 도모하고자 우리나라에서 정책적으로 추진하고 있는 u-공공서비스의 정책 현황을 살펴보고, 본 정책의 계속적인 활성화를 위한 비전 및 추진전략을 제시하고자 한다. 따라서 첫째, 본 연구는 u-기반 공공서비스 활성화 방안을 마련하고, 둘째, 실용중심의 핵심과제를 발굴하며, 셋째, 향후 u-공공서비스 활성화를 위한 산 학 연 관 협력 체제를 도출하는 데 목적이 있다.