• 한국정보시스템학회지:정보시스템연구
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• 제10권1호
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• pp.97-126
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• 2001

Object-orientation has been proposed as a promising software process innovation to improve software productivity and quality. It has not been understood clearly, however, what factors influences the diffusion of object-oriented technology in organizations. A research model was formulated and hypotheses were generated based on the literature of information technology implementation and software process innovation. To test the research hypotheses, a questionnaire survey was conducted. The results based on 121 responses from Korean companies revealed that project characteristics, use of external experts, and number of development projects are significantly related to the diffusion of object-oriented analysis and design and object-oriented programming. Innovation champion is positively related to the diffusion of object-oriented analysis and design, whereas it is not related to the diffusion of object-oriented programming language. Only project complexity was significantly related to the diffusion of visual programming language. On the other hand, organizational size was not significantly related to any object-oriented technology in this study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권1호
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• pp.172-185
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• 2019

In this paper, we investigate the performance of the diffusion adaptation strategies for parameter estimation in wireless adaptive networks, where the nodes exchange information over noisy and fading wireless channels. This paper shows the differences between the effect of Rayleigh and Rician fading over wireless adaptive networks and proves that the Rician fading is a more practical model in such kinds of networks. Simulation results imply that the effect of Rayleigh fading is more degrading for the estimation process than Rician fading. Also, the simulation results show the performance of adapt then combine (ATC) diffusion algorithm is better than the combine then adapt (CTA) algorithm by merely considering noise in wireless channels. While the performance of CTA prevails ATC over the wireless adaptive network in the presence of noise plus channel fading.

• 디지털산업정보학회논문지
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• 제8권3호
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• pp.157-169
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• 2012

As of 2006. 3. the twitter offered in the USA has been one of the propaganda instrument used with ads and politics functioning speedy information diffusion on SNS communicated with others through 140 letters of short messages. and while twitter is using propaganda instrument, it keeps on trying to verify how it has an effect on. So, on the paper, I suggest new simulation model of information diffusion based on probability being able to predict the range of proliferation after it analyze the existing influence and the diffusion force on verification methods. It designed algorithm of verification and algorithm of prediction to use twitter's Open API with Python basement. It proved effectiveness on the model through the analysis to operate the twitter of practical local autonomous entity.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.144-147
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• 2003

It is important to understand the process of technology diffusion among end users for effectively implementing adoption and coping with frequent changes in the environment. Previous studies indicate that information and communication technology (ICT) adoption is affected by innovation influence such as usefulness, ease of use and self-efficacy. Most of these studies, however, bypassed imitation influence such as subjective norms, word-of-mouth, and advertising, specifically, interactive innovation having critical mass in technology acceptance research. Thus, this study investigates imitation influence in individual adoption of mobile communication technology, more specifically, mobile phones, using Mahaian's diffusion model in individual ICT adoption.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.412-434
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• 2023

This study discusses the high-order diffusion method in the wavelet domain. It aims to improve the edge protection capability of the high-order diffusion method using wavelet coefficients that can reflect image information. During the first step of the proposed diffusion method, the wavelet packet decomposition is a more refined decomposition method that can extract the texture and structure information of the image at different resolution levels. The high-frequency wavelet coefficients are then used to construct the edge detection function. Subsequently, because accurate wavelet coefficients can more accurately reflect the edges and details of the image information, by introducing the idea of state weight, a scheme for recovering wavelet coefficients is proposed. Finally, the edge detection function is constructed by the module of the wavelet coefficients to guide high-order diffusion, the denoised image is obtained. The experimental results showed that the method presented in this study improves the denoising ability of the high-order diffusion model, and the edge protection index (SSIM) outperforms the main methods, including the block matching and 3D collaborative filtering (BM3D) and the deep learning-based image processing methods. For images with rich textural details, the present method improves the clarity of the obtained images and the completeness of the edges, demonstrating its advantages in denoising and edge protection.

• 한국산업정보학회논문지
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• 제10권4호
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• pp.65-77
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• 2005

본 연구는 ERP시스템을 채택하는 과정에서 나타나는 혁신기술 수용요인을 파악함으로써 혁신확산을 높일 수 있는 방안을 모색하는데 목적이 있다. 이를 위하여 혁신기술 수용요인과 혁신확산에 관한 선행연구를 바탕으로 기술수용모형을 이용한 실증분석을 실시하여 효율적인 ERP시스템 채택과 혁신확산에 대한 방안을 제시한다. 혁신특성요인, 지각된 유용성과 지각된 편의성, ERP시스템 채택 그리고 혁신확산에 대한 경로분석에서 나타나는 변수들 간의 영향경로를 규명함으로써 혁신특성요인과 ERP시스템 채택 및 혁신확산간의 관계에 대한 최적경로를 탐색하려고 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.3005-3027
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• 2015

Spam has become one of the top threats of micro-blogging networks as the representations of rumor spreading, advertisement abusing and malware distribution. With the increasing popularity of micro-blogging, the problems will exacerbate. Prior detection tools are either designed for specific types of spams or not robust enough. Spammers may escape easily from being detected by adjusting their behaviors. In this paper, we present a novel model to quantitatively evaluate information diffusion in micro-blogging networks. Under this model, we found that spam posts differ wildly from the non-spam ones. First, the propagations of non-spam posts mostly result from their followers, but those of spam posts are mainly from strangers. Second, the non-spam posts relatively last longer than the spam posts. Besides, the non-spam posts always get their first reposts/comments much sooner than the spam posts. With the features defined in our model, we propose an RBF-based approach to detect spams. Different from the previous works, in which the features are extracted from individual profiles or contents, the diffusion features are not determined by any single user but the crowd. Thus, our method is more robust because any single user's behavior changes will not affect the effectiveness. Besides, although the spams vary in types and forms, they're propagated in the same way, so our method is effective for all types of spams. With the real data crawled from the leading micro-blogging services of China, we are able to evaluate the effectiveness of our model. The experiment results show that our model can achieve high accuracy both in precision and recall.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.54-58
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• 2002

Mean curvature diffusion (MCD) is a selective smoothing technique that promotes smoothing within a region instead of smoothing across boundaries. By using mean curvature diffusion, noise is eliminated and edges are preserved. In this paper, we propose methods of automatic parameter selection and implementation for the MCD model coupled to min/max flow. The algorithm has been applied to high resolution aerial images and the results show that noise is eliminated and edges are preserved after removal of noise.

• Journal of Advanced Marine Engineering and Technology
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• 제39권4호
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• pp.374-380
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• 2015

본 연구에서는 연료전지 캐소드 가스 확산층에서의 물의 영향이 연료전지 성능에 미치는 영향을 검토하기 위하여 연료전지 스택의 부하 변동에 따른 가스 확산층에서의 2상 현상의 구현이 가능한 동적 모델을 개발하였다. 개발된 모델에 대하여 2상의 영향에 의한 연료전지 부하변동에 따른 연료전지 스택 성능, 가스 확산층 내부에서의 물 증기와 산소의 농도분포, 가스 확산층의 두께 및 다공성이 연료전지 스택 전압에 미치는 영향에 대하여 검토하였다. 그 결과 본 연구의 범위 내에서 연료전지 스택 전압은 부하에 관계없이 2상 모델이 1상 모델보다 낮아짐을 알 수 있다. 촉매층 부근 가스 확산층에서의 산소 농도는 가장 낮고 물 증기의 농도는 가장 높음을 알 수 있었다. 또한, GDL의 두께가 두꺼울수록 GDL의 다공성이 작을수록 연료전지 스택 전압이 낮아짐을 알 수 있었다.

• 전자공학회논문지B
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• 제29B권11호
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• pp.85-92
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• 1992

In this paper we propose a diffusion neural network model. In this model, each excitatory and inhibitory neuron has the capability of diffusing external excitations. We show that this model can be used for the detection of intensity changes of an input image. The relations between the diffusion coefficient, the iteration number of diffusion, and the detected spatial frequency are analyzed. The calculation time is reduced than that of a LOG(a Laplacian of a Gaussian) method.