• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권4호
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• pp.1760-1778
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• 2018

For image segmentation with intensity inhomogeneity, many region-based level set methods have been proposed. Some of them however can't get the relatively ideal segmentation results under the severe intensity inhomogeneity and weak edges, and without use of the image gradient information. To improve that, we propose a new level set method combined with local direction gradient in this paper. Firstly, based on two assumptions on intensity inhomogeneity to images, the relationships between segmentation objects and image gradients to local minimum and maximum around a pixel are presented, from which a new pixel classification method based on weight of Euclidian distance is introduced. Secondly, to implement the model, variational level set method combined with image spatial neighborhood information is used, which enhances the anti-noise capacity of the proposed gradient information based model. Thirdly, a new diffusion process with an edge indicator function is incorporated into the level set function to classify the pixels in homogeneous regions of the same segmentation object, and also to make the proposed method more insensitive to initial contours and stable numerical implementation. To verify our proposed method, different testing images including synthetic images, magnetic resonance imaging (MRI) and real-world images are introduced. The image segmentation results demonstrate that our method can deal with the relatively severe intensity inhomogeneity and obtain the comparatively ideal segmentation results efficiently.

• 한국관광식음료학회지:관광식음료경영연구
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• 제14권1호
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• pp.111-128
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• 2003

Advances in information technology (IT) are becoming one of the most significant driving forces changing the structure of global financial management. This phenomenon is occurring in all industries; the hotel industry is no exception and must quickly adapt to this new trend. This study examines the technology intensity of the industry by assessing the degree to which the industry has allocated capital to IT projects, and discusses IT investment in the hospitality industry with a particular emphasis on assessing the value of IT investment and its investment strategy.

• Journal of information and communication convergence engineering
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• 제4권3호
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• pp.101-104
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• 2006

We have investigated the spectral characteristics of the semiconductor lasers locked to the sidebands of the master laser in this paper, which were expressed by a series of the Bessel function. The numerical model for the semiconductor lasers based on the typical Lang's equation has been extended in order to take into account the simultaneous injection of the multiple sidebands of the directly modulated ML. We analyses characteristics of direct intensity modulation.

• 디지털융복합연구
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• 제16권11호
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• pp.255-265
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• 2018

본 연구는 SNS의 커뮤니케이션 효과에 중요한 요인으로 작용하고 있는 SNS 유형 및 SNS 이용강도에 따라 어떤 광고 메시지 형태와 정보원이 더 효과가 있는지를 규명하고자 하였다. 이에 따라 메시지 형태별 실험적 광고물을 개발하고 정보원별 상황을 설정한 내용으로 구성된 설문조사를 통해 실증분석을 수행하였다. 분석결과, 메시지 형태별 광고효과는 SNS 유형과 이용강도에 따라 차이를 보여 사실적 메시지는 관심사기반 SNS와 이용강도가 높은 이용자에서 더 크고, 평가적 메시지는 이용강도에 따른 차이 없이 관계기반 SNS 이용자에서 더 큰 것으로 나타났다. 정보원별 광고효과는 SNS 유형에 따라 차이를 보여 친구 및 동료와 SNS로 아는 사람인 경우는 관계기반 SNS 이용자에서 더 크고, 기업인 경우는 관심사 기반 SNS 이용자에서 더 큰 것으로 나타났다. 반면에 SNS 이용강도에 따라서는 차이 없이 친구 및 동료인 경우가 가장 큰 것으로 나타났다. 이러한 결과는 실무적 측면에서 SNS를 이용한 광고전략 수립에 기여하는 바가 있으며, 향후에는 연구대상 SNS와 조사대상자를 보다 다양하게 하는 후속적인 연구가 필요하다.

• 센서학회지
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• 제30권2호
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• pp.76-81
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• 2021

In this study, we propose a machine vision system with a high object recognition rate. By utilizing a multiple-exposure image sensing technique, the proposed deep learning-based machine vision system can cover a wide light intensity range without further learning processes on the various light intensity range. If the proposed machine vision system fails to recognize object features, the system operates in a multiple-exposure sensing mode and detects the target object that is blocked in the near dark or bright region. Furthermore, short- and long-exposure images from the multiple-exposure sensing mode are synthesized to obtain accurate object feature information. That results in the generation of a wide dynamic range of image information. Even with the object recognition resources for the deep learning process with a light intensity range of only 23 dB, the prototype machine vision system with the multiple-exposure imaging method demonstrated an object recognition performance with a light intensity range of up to 96 dB.

• Agribusiness and Information Management
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• 제6권1호
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• pp.37-44
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• 2014

This study was conducted to evaluate light intensity and uniformity of two SMD (surface-mount device) type LEDs for protected crop production. A low-power (0.1 W) and a high-power (1 W) LEDs were selected and the intensity and uniformity was evaluated at different vertical (height) and horizontal (distance) intervals. When the horizontal interval of the LED bar was fixed, the light intensity increased and the uniformity decreased as the height decreased. At the 30~40 cm heights, 20~30% of the area showed $200{\pm}20{\mu}molm^{-2}s^{-1}$. As the horizontal distance of the LED bars increased, while the uniformity increased as well, the light intensity decreased. At the distances of 6~10 cm, 17~23% of the area showed $200{\pm}20{\mu}molm^{-2}s^{-1}$. When the LED bars were added to the sides, the light intensity and uniformity were generally improved. Results showed that the light intensity and uniformity depended on the height and interval of the LED bulbs; therefore, optimum arrangement for the crops interested should be determined through experiments.

• 한국컴퓨터정보학회논문지
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• 제19권10호
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• pp.35-42
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• 2014

주어진 실내 환경에 위치한 여러 장애물에 대한 정보를 사전에 훈련하고 인식하여 로봇의 인지 능력을 향상시키기 위해 스테레오비전 센서의 RGB-D 이미지에서 인텐시티를 기반으로 일정 거리 안에 있는 장애물을 검출하는 기법을 제시한다. RGB-D 인텐시티 정보에 대해 PCA, ICA, LDA, SVM의 주요 패턴인식 알고리즘을 적용하여 인식률 및 실행시간을 구하고, 여러 패턴인식 알고리즘 중에서 어떤 알고리즘이 인식률 및 실행시간 측면에서 적용이 가능한지를 제시한다. 실험결과, RGB-D 데이터와 인텐시티 데이터를 비교한 결과 정확도면에서는 RGB-D 데이터가 4.2% 높은 인식률을 보였으나 훈련시간은 인텐시티 데이터가 RGB-D 이미지에 비해 LDA의 경우 29%, SVM의 경우 31% 빠르게 처리되었으며 테스트시간은 LDA의 경우 70%, SVM의 경우 33% 빠르게 처리되어 모바일 로봇 장애물 인식에 인텐시티 데이터를 사용하는 것이 정확도면에서도 우수하고 처리 속도 면에서 높은 개선효과가 있다.

• Journal of Acupuncture Research
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• 제28권2호
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• pp.107-116
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• 2011

Objectives : This study was performed to investigate the effects of fixed-intensity and varied-intensity electroacupuncture on heart rate variability in healthy people with stress task. Methods : Forty healthy subjects were randomly assigned to either group A or group B or C. Group A received fixed-intensity electroacupuncture(F-EA) at $ST_{36}$ and $ST_{37}$. After 1 week wash out period to prevent overlapping residual effects, they received varied-intensity electroacupuncture(V-EA) in which the intensity was changed every two minutes based on individual heart rate variability at the same points. Group B received the treatments in reverse order. Group C received no intervention as a control group. Results : Control group showed a significant increase of LF and LF/HF during the 2nd working memory task, while both F-EA and V-EA did not. In addition, V-EA showed a significant increase of HF during 2nd rest while F-EA did not. Conclusions : These results suggest that F-EA and V-EA can inhibit sympathetic activation more than control group and that V-EA can enhance parasympathetic activation more than F-EA.

• 센서학회지
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• 제20권4호
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• pp.221-225
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• 2011

Intensity-based optical fiber sensors are devised using a blocker which is located between two polymer optical fibers(POFs), one fiber is light-in and the other is light-out. This blocker is moved by an external displacement. Therefore, finding a general formulation of the relation between this displacement and transmission light intensity of various blockers is important to help develop intensity-based optical fiber sensors. In this paper, we consider blockers with arbitrary shapes from circular holes to inclined angled blockers. The transmission light intensities of such blockers should be determined by this generalized equation. In order to verify this equation, the calculated intensities of the blockers are compared with the values acquired from experiment. In the comparison, it is shown that the analytic equation can give the exact values of the transmitted light intensities for the assorted blockers. The range of the displacement measurement is also shown to be about 6 times of the radius of the hole in the case of a 9 degree inclined angle blocker.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2001년도 춘계학술대회논문집:21세기 신지식정보의 창출
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• pp.64-76
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• 2001

In this paper, A simple image hologram encryption and decryption technique based on the principle of interference are proposed. The technique using the photorefractive material for getting a stable interference pattern is also proposed. And combine these two techniques, I would like to implement a stable optical information security system. In the encrypting process, I would generate binary phase hologram which can reconstruct original image perfectly, and regard this hologram as original image to be encrypted image. And then the hologram is encrypted as randomly generated binary phase image. Reference image is also generated from the encrypted image by applying interference rule. In the decrypting process, I can get a interference intensity by interfering the reference image and the encrypted image in the interferometer. and transform inferference intensity information into phase information. I recover original image by inverse Fourier transforming the phase information. In this process, the intensity information generated by interference of two images is very sensitive to external vibrations. So, I would like to get a stable interference using the characteristic of SPPCM(self pumped phase conjugate mirror) in photorefractive materials, especially BaTiO₃.