• Korean Institute of Interior Design Journal
• /
• no.9
• /
• pp.3-9
• /
• 1996

When a certain particular department store is chosen by customers due to the good image, the department store will have provided for the conditions that it can precede in competition with other department stores. Based upon it, a survey was made of preference for the department store interior design image component. In order to make the department store image better based upon this study results, the designer should remember that department store is possessed of display and circultation planinorder to give consume the good image. And , as a result of analyzing customers' preference for the details of the interior design image component, the area, primary components of the department store space, should take on specialization , though narrow. The circulation should constitute the free flow system. The ornamental illumination should be emphasized for the secondary component of the department store space. The color planing should be made that is oriented to seasonality and products. The floor should finished with wood. The department store interior should be decorated in a modern and simple form. The display of the department store should be made in a fashion that it takes on seasonality and artistry. These measures can be said to be the desirable method to provide a good image for women customers paying a visit to the department store.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.65 no.7
• /
• pp.1225-1230
• /
• 2016

Since a flash light produces enormous amount of photon energy in short time, not only electro-optic and infrared(EO/IR) systems utilized for Intelligence Surveillance Target Acquisition and reconnaissance(ISTAR) activities but also the people of a combat field can be severely influenced by a high flash light bursting in front of them. The people who bumped into a flash could not escape such enormous amount of photon energy, resulting in being blind temporarily or even permanently. In order to investigate the effect of a high flash source on a human eye, it is essential to know how much photon energy be incident into an eye from the flash source. In this paper, the model of irradiated photon energy to individuals from some flashes is proposed. The proposed irradiated photon energy per unit area of retina is based on taking the situation to be modeled as a simple EO system in front of a flash light. The validity of proposed model was proved by the application of the model to human on the surface of the earth with the well known light source, the Sun. The model of this study can be utilized to simulate the retinal intensity and energy of a flash for various conditions such as the illumination levels, the distance from a flash busting site, luminous intensity and time of a flash.

• Korean Institute of Interior Design Journal
• /
• no.9
• /
• pp.9-9
• /
• 1996

When a certain particular department store is chosen by customers due to the good image, the department store will have provided for the conditions that it can precede in competition with other department stores. Based upon it, a survey was made of preference for the department store interior design image component. In order to make the department store image better based upon this study results, the designer should remember that department store is possessed of display and circultation planinorder to give consume the good image. And , as a result of analyzing customers' preference for the details of the interior design image component, the area, primary components of the department store space, should take on specialization , though narrow. The circulation should constitute the free flow system. The ornamental illumination should be emphasized for the secondary component of the department store space. The color planing should be made that is oriented to seasonality and products. The floor should finished with wood. The department store interior should be decorated in a modern and simple form. The display of the department store should be made in a fashion that it takes on seasonality and artistry. These measures can be said to be the desirable method to provide a good image for women customers paying a visit to the department store.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2006.06a
• /
• pp.134-135
• /
• 2006

$AgInS_2$ single crystal thin filmsl was deposited on throughly etched semi-insulator GaAs(100) substrate by the Hot Wall Epitaxy (HWE) system. The source and substrate temperature were $680^{\circ}C$ and $410^{\circ}C$ respectively, and the thickness of the single crystal thin films is $6{\mu}m$. From the photocurrent spectrum by illumination of perpendicular light on the c-axis of the $AgInS_2$ single crystal thin film, we have found that the values of spin orbit coupling ${\Delta}So$ and the crystal field splitting ${\Delta}Cr$ were 0.0098 eV and 0.15 eV at 10 K, respectively. In order to explore the applicability as a photoconductive cell, we measured the sensitivity ($\gamma$), the ratio of photocurrent to darkcurrent (pc/dc), maximum allowable power dissipation (MAPD), spectral response and response time. The result indicated that the samples annealed in S vapour the photoconductive characteristics are best. Therefore we obtained the sensitivity of 0.98, the value of pc/dc of $1.02{\times}10^6$, the MAPD of 312 mW, and the rise and decay time of 10.4ms and 10.8ms respectively.

• Journal of the Korean Society for Precision Engineering
• /
• v.33 no.9
• /
• pp.715-721
• /
• 2016

In this paper, the classification rate of micro-cracks in silicon wafers was improved using a SVM. In case I, we investigated how feature data of micro-cracks and SVM parameters affect a classification rate. As a result, weighting vector and bias did not affect the classification rate, which was improved in case of high cost and sigmoid kernel function. Case II was performed using a more high quality image than that in case I. It was identified that learning data and input data had a large effect on the classification rate. Finally, images from cases I and II and another illumination system were used in case III. In spite of different condition images, good classification rates was achieved. Critical points for micro-crack classification improvement are SVM parameters, kernel function, clustered feature data, and experimental conditions. In the future, excellent results could be obtained through SVM parameter tuning and clustered feature data.

• Journal of Multimedia Information System
• /
• v.5 no.2
• /
• pp.105-110
• /
• 2018

Autonomous cars require the integration of multiple communication systems for driving safety. Many carmakers unveil mirrorless concept cars aiming to replace rear and sideview mirrors in vehicles with camera monitoring systems, which eliminate blind spots and reduce risk. This paper presents optical vehicle-to-vehicle (V2V) communications for autonomous mirrorless cars. The flicker-free light emitting diode (LED) light sources, providing illumination and data transmission simultaneously, and a high speed camera are used as transmitters and a receiver in the OCC link, respectively. The rear side vehicle transmits both future action data and vehicle type data using a headlamp or daytime running light, and the front vehicle can receive OCC data from the camera that replaces side mirrors so as not to prevent accidents while driving. Experimental results showed that action and vehicle type information were sent by LED light sources successfully to the front vehicle's camera via the OCC link and proved that OCC-based V2V communications for mirrorless cars can be a viable solution to improve driving safety.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.18 no.3
• /
• pp.422-428
• /
• 2008

In this paper, we propose the robust object detection algorithm with spatial gradient information. To do this, first, we eliminate error values that appear due to complex environment and various illumination change by using prior methods based on hue and intensity from the input video and background. Visible shadows are eliminated from the foreground by using an RGB color model and a qualified RGB color model. And unnecessary values are eliminated by using the HSI color model. The background is removed completely from the foreground leaving a silhouette to be restored using spatial gradient and HSI color model. Finally, we validate the applicability of the proposed method using various indoor and outdoor conditions in a complex environments.

• Journal of the Korean Solar Energy Society
• /
• v.31 no.2
• /
• pp.31-36
• /
• 2011

LED is expected as an environmentally friendly next generation light source with its good reliability and long lifetime. The light sources for illumination have a variety of applications in the indoor and outdoor, and the variation of optical power and color rendering of the light source limits their applications. Therefore, it is necessary to research the LED lamp and its luminaire to minimize the variation of dynamic characteristics and to improve the color rendering due to that illuminating environment. Daylight is very good light source to human and can be used as primary or a secondary light source with benefits of energy, productivity and health.This paper presents the design method of LED lighting system to improve poor property in terms of CR(color redering) characteristic to use daylight effectively.

• Smart Structures and Systems
• /
• v.28 no.6
• /
• pp.811-825
• /
• 2021

High-voltage isolating switches play a paramount role in ensuring the safety of power supply systems. However, their exposure to outdoor environmental conditions may cause serious physical defects, which may result in great risk to power supply systems and society. Image processing-based methods have been used for anomaly detection. However, their accuracy is affected by numerous uncertainties due to manually extracted features, which makes the anomaly detection of isolating switches still challenging. In this paper, a vision-based anomaly detection method for isolating switches, which uses the rotational angle of the switch system for more accurate and direct anomaly detection with the help of deep learning (DL) and image processing methods (Single Shot Multibox Detector (SSD), improved frame differencing method, and Hough transform), is proposed. The SSD is a deep learning method for object classification and localization. In addition, an improved frame differencing method is introduced for better feature extraction and a hough transform method is adopted for rotational angle calculation. A number of experiments are conducted for anomaly detection of single and multiple switches using video frames. The results of the experiments demonstrate that the SSD outperforms the You-Only-Look-Once network. The effectiveness and robustness of the proposed method have been proven under various conditions, such as different illumination and camera locations using 96 videos from the experiments.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.5
• /
• pp.1597-1610
• /
• 2022

At present, the main method of high-speed train chassis detection is using computer vision technology to extract keypoints from two related chassis images firstly, then matching these keypoints to find the pixel-level correspondence between these two images, finally, detection and other steps are performed. The quality and accuracy of image matching are very important for subsequent defect detection. Current traditional matching methods are difficult to meet the actual requirements for the generalization of complex scenes such as weather, illumination, and seasonal changes. Therefore, it is of great significance to study the high-speed train image matching method based on deep learning. This paper establishes a high-speed train chassis image matching dataset, including random perspective changes and optical distortion, to simulate the changes in the actual working environment of the high-speed rail system as much as possible. This work designs a convolutional neural network to intensively extract keypoints, so as to alleviate the problems of current methods. With multi-level features, on the one hand, the network restores low-level details, thereby improving the localization accuracy of keypoints, on the other hand, the network can generate robust keypoint descriptors. Detailed experiments show the huge improvement of the proposed network over traditional methods.