• 한국멀티미디어학회논문지
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• 제19권7호
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• pp.1107-1115
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• 2016

Efficient Market Hypothesis (EMH), states that at any point in time in a liquid market security prices fully reflect all available information. This paper presents a study of proving the hypothesis through daily Twitter sentiments using the hybrid approach of the lexicon-based approach and the naïve Bayes classifier. In this research we analyze the currency exchange rate movement of Indonesia Rupiah vs US dollar as a way of testing the Efficient Market Hypothesis. In order to find a correlation between the prediction sentiments from Twitter data and the actual currency exchange rate trends we collect Twitter data every day and compute the overall sentiment to label them as positive or negative. Experimental results have shown 69% correct prediction of sentiment analysis and 65.7% correlation with positive sentiments. This implies that EMH is semi-strong Efficient Market Hypothesis, and that public information provide by Twitter sentiment correlate with changes in the exchange market trends.

• 한국IT서비스학회지
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• 제9권4호
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• pp.231-242
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• 2010

The emergence of convergence has been the cause of development of the industry more complex and difficult by continually changing business environment and the destruction of the business area. The government-initiatives approach shows the limits to foster the new industries in needs of service-oriented ecosystem. In this study, we propose the service model as service-based approach for the development of new industries derived through the convergence inter-industry. While business model is defined based on the company's temporary and piecemeal activities, service model is the concept of dynamic and continuous that includes national, industrial, corporate level. In order to derive the service model, to identify current problems and issues with the public and the private sector is first. Then design the roadmap for the implementation of the desired shape through strategy from optimal rationality and long-term strategy. In this study, we define a service model, and consider when establishing a service model for three dimensional(national, industrial, corporate level) through analyzed by 3Level Service Model. And we also consider characteristics of the service model and approach, present the case of 'New Transit Card Services in Seoul'.

• 품질경영학회지
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• 제49권3호
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• pp.405-420
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• 2021

Purpose: This study started with the question of how to use Virtual Reality (VR) contents as a part of the non-face-to-face education tool that has recently attracted attention. Methods: In this paper, the use of VR contents as an educational tool is explained as a process of 'new media access dimension'. The question was explored on why Virtual Reality (or Augmented Reality) contents are not used as educational tools in the educational field. Results: As a result, the lack of 'material access' such as devices and infrastructure affects 'motivational access' approach stage, which is the previous stage. Again, it has a negative effect on literacy, which is 'skill access' approach stage. As it was found that it was not circulating to the level of "motive-material-skill-usage", it was discussed that it was taking a different step from the past adoption process of ICT and smart media. Conclusion: Based on this, it is believed that immersive content will contribute to arousing interest that can be applied and spread in the educational field, and it is also thought that it will be possible to derive academic interest in the educational effect according to the characteristics of immersive content such as VR.

• 한국멀티미디어학회논문지
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• 제24권8호
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• pp.1000-1011
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• 2021

In recent years, using Deep Learning methods to apply for medical and biomedical image analysis has seen many advancements. In clinical, using Deep Learning-based approaches for cancer image analysis is one of the key applications for cancer detection and treatment. However, the scarcity and shortage of labeling images make the task of cancer detection and analysis difficult to reach high accuracy. In 2015, the Unet model was introduced and gained much attention from researchers in the field. The success of Unet model is the ability to produce high accuracy with very few input images. Since the development of Unet, there are many variants and modifications of Unet related architecture. This paper proposes a new approach of using Unet++ with pretrained EfficientNet as backbone architecture for breast tumor cell nuclei segmentation and uses the multi-organ transfer learning approach to segment nuclei of breast tumor cells. We attempt to experiment and evaluate the performance of the network on the MonuSeg training dataset and Triple Negative Breast Cancer (TNBC) testing dataset, both are Hematoxylin and Eosin (H & E)-stained images. The results have shown that EfficientUnet++ architecture and the multi-organ transfer learning approach had outperformed other techniques and produced notable accuracy for breast tumor cell nuclei segmentation.

• 한국융합학회논문지
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• 제12권3호
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• pp.297-304
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• 2021

이 연구는 학령기 아동의 발달지원을 위하여 기존의 미술 치료 및 교육에서 시행되어 온 시각적 사고 중심의 접근에 더하여, 언어 교육 및 치료적 접근을 융합하고자 한 것이다. 이에 언어와 미술의 서로 다른 영역의 융합 가능 영역을 탐색하기 위하여 텍스트 마이닝 기법을 적용하였다. 이에 따라 이 연구는 기초 연구, 예비 DB구축, 텍스트 선별, DB 전 처리 및 확정, 불용어 처리, 텍스트 마이닝 분석 및 융합 가능 역 도출'의 절차에 따라 연구를 진행하였다. 연구 결과, 미술 치료 및 교육과 언어 치료 및 교육 분야에서 나타나는 문헌상의 각 군집을 연계하여 의사소통 및 학습 기능, 문제해결 및 감각 기관, 예술 및 지능, 정보와 의사소통, 가정 및 장애, 주제와 개념화 및 또래, 통합과 재구성 및 태도 등과 관련된 융합역을 도출할 수 있었다. 결론적으로 본 연구를 통하여 향후 미술과 언어의 활동 중심 융합형 프로그램을 설계할 수 있는 프레임워크를 마련하고 아동발달 지원을 위한 총체적 접근을 시도하였다는 점에서 연구의 의의가 있다.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.180-180
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• 2012

• BMB Reports
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• 제57권1호
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• pp.60-65
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• 2024

The CRISPR-Cas9 system has significantly advanced regenerative medicine research by enabling genome editing in stem cells. Due to their desirable properties, mesenchymal stem cells (MSCs) have recently emerged as highly promising therapeutic agents, which properties include differentiation ability and cytokine production. While CRISPR-Cas9 technology is applied to develop MSC-based therapeutics, MSCs exhibit inefficient genome editing, and susceptibility to plasmid DNA. In this study, we compared and optimized plasmid DNA and RNP approaches for efficient genome engineering in MSCs. The RNP-mediated approach enabled genome editing with high indel frequency and low cytotoxicity in MSCs. By utilizing Cas9 RNPs, we successfully generated B2M-knockout MSCs, which reduced T-cell differentiation, and improved MSC survival. Furthermore, this approach enhanced the immunomodulatory effect of IFN-r priming. These findings indicate that the RNP-mediated engineering of MSC genomes can achieve high efficiency, and engineered MSCs offer potential as a promising therapeutic strategy.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.197-214
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• 2020

Purpose This study examines the influence of product development competence and IT competence on new product development (NPD) performance in the context of Korean companies. To achieve this goal, this study presents and empirically tests a model of how NPD competence and IT competence can be exploited to positively influence NPD performance through convergence capabilities. Design/methodology/approach The NPD competence are based on the research construct developed by Zhang et al. (2013). IT competence is based on the research construct developed by Lu and Ramamurthy(2011) and the NPD performance are based on the performance construct developed by Sivadas and Dwyer (2000). To complete the investigation, we conducted a survey from Korean 1000 big companies, which enrolled in Korean stock market. Randomly contacted 171 Korean companies, including firms of all sizes and types. To test our hypotheses, structured equation model (SEM) with partial least squares (PLS) method was employed. Findings The findings indicate that NPD competence and IT competence are antecedent to convergence capabilities, while IT competence is higher influence than NPD competence. Also, convergence capabilities has very significant relationship with NPD performance. This study provides a better understanding of the relationship between NPD competence, IT competence, convergence capabilities, and NPD performance. So companies should focus on improving NPD and IT competence on NPD performance through convergence capabilities.

• 한국생산제조학회지
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• 제25권6호
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• pp.486-491
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• 2016

Disturbance/vibration reduction is critical in many applications using machine vision. The off-focusing or blurring error caused by vibration degrades the machine performance. In line with this, real-time disturbance estimation and avoidance are proposed in this study instead of going with a more familiar approach, such as the vibration absorber. The instantaneous motion caused by the disturbance is sensed by an attitude heading reference system module. A periodic vibration modeling is conducted to provide a better performance. The algorithm for vibration avoidance is described according to the vibration modeling. The vibration occurrence function is also proposed, and its parameters are determined using the genetic algorithm. The proposed algorithm is experimentally tested for its effectiveness in the vision inspection system.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2004년도 제22회 춘계학술대회논문집
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• pp.15-25
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• 2004

This paper outlines a new convergence acceleration de-signed to solve scramjet flowfields with zones of re-circulation. Named the “marching-window”, the algorithm consists of performing pseudo-time iterations on a minimal width subdomain composed of a sequence of cross-stream planes of nodes. The upstream boundary of the subdomain is positioned such that all nodes upstream exhibit a residual smaller than the user-specified convergence threshold. The advancement of the downstream boundary follows the advancement of the upstream boundary, except in zones of significant streamwise ellipticity where a streamwise ellipticity sensor ensures its continuous progress. Compared to the standard pseudo-time marching approach, the march-ing-window is here seen to decrease the work required for convergence by up to 24 times for supersonic flows with little streamwise ellipticity and by up to 8 times for supersonic flows with large streamwise separated regions. The memory requirements are observed to be reduced sixfold by not allocating memory to the nodes not included in the computational subdomain. The marching-window satisfies the same convergence criterion as the standard pseudo-time stepping methods, hence resulting in the same converged solution within the tolerance of the user-specified convergence threshold. The extension of the marching-window to the weakly-ionized Navier-Stokes equations is also discussed.