• Journal of the Korean Society of Costume
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• v.61 no.8
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• pp.57-72
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• 2011

The purpose of this research is to develop a safe and convenient wearable technology wear for bikers. For this, we studied the current usage of two-wheeled vehicles and have also researched the rate of accidents and its causes. We then used them along with previous studies in terms of visual perception as factors to decide the crucial elements of the riders' apparel. Case studies and the break down for the established prototypes for bikers were practiced as well. Based on this process, a survey was conducted to find out the needs of the bikers in the areas of both apparel and technology and then proceeded to produce the appropriate design and device modules. In the apparel sector, the result of the survey indicated that it was considerable that any digital devices were not shown to sustain a natural visible look. It also was essential that the materials were durable and made for safety and easy movement. In the digital function sector, it was significant that a motion input interface which will be embedded into the wear was needed to avoid any dangerous situations. This would ensure the safety of not only the rider but the surrounding riders as well. Lastly, protecting the rider's skin from any harmful elements was regarded necessary as well. Based on these requirements, a new prototype was created and will be tested if the requirements stated above are all met and will be evaluated according to the effectiveness of its functions.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.1
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• pp.67-72
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• 2014

In this paper, we proposed A Study on Construction of Infrastructure for Handicapped Parking Areas Using RFID. This paper is Construction of the Handicapped Parking Areas infrastructure Using RFID with 900MHz band, and researched the optimal position of the tag attached on the vehicle and the location of RFID reader in order to raise the efficiency of RFID reader and the recognition rate by the handicapped vehicle. The result of research is shown the optimal position of RFID reader establishment when the height of RFID reader is 170cm in height and the angle of $80^{\circ}$ with the ground when the vehicle traveling direction of the antenna and the RFID reader when the surface and the angle of $90^{\circ}$ showed the best position RFID readers installed. Parking spaces for the disabled in accordance with these results the RFID readers installed and it works in conjunction with enforcement camera car tagged crackdown on vehicles and other general management, the system is built to allow handicapped parking spaces that meet the intent of the original purpose being used as expected to contribute significantly.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.113-121
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• 2005

Face detection in real-time video constitutes one of the major trend in face recognition. In this paper, we propose a face detection algorithm using the skin color and Haar-like feature in real-time video. The proposed algorithm is followed by three sequences; First, moving objects are detected by difference-method in YCbCr coordinates, and then by using Haar-like features, face candidate regions of the moving objects is selected. Finally we extract the most possible face candidates by comparing the pixel values of face candidates with the skin color. In order to prevent a mistake. we use similar features or skin color to detect a face by selecting a adaptive ROI and improve the processing speed in real-time video. The computer simulation shows the validity of the proposed method that the processing speed is improved by 30% than previous works and the detection success rate is 96.8%.

• Journal of the Korea Society of Computer and Information
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• v.16 no.7
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• pp.59-65
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• 2011

Korea DMB Service is popularized, and is used by many users. But latest display devices compared to the DMB content resolution support higher resolution and a variety of video resampling technologies has been used. Generally, subjective video quality is determined by object recognition rate in video, and increased as the edge space between objects are more clear. An edge is the boundary between an object and the background, and indicates the boundary between overlapping objects. the predicted direction in intra prediction used in H.264/AVC has the similarity up to 80% for the edge information. In the study, we propose an effective up-sampling mothed using the edge information that is extracted for the relationship between the intra prediction data and the DCT coefficient data of H.264 video encoding.

• Spatial Information Research
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• v.15 no.3
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• pp.279-290
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• 2007

The purpose of this study is to find the policy implications for carrying out the 3D GIS in local governments. For this, we made up questions to the local officials related to GIS in local governments and analyzed the questions by the hierarchy of local government. As the result of this, we found that the recognition about 3D GIS concept and the necessity of 3D GIS development was shown at the high rate without the hierarchy, but 3D GIS construction and propulsion was differently shown by the hierarchy. In conclusion, we found it was necessary to develop the 3D GIS with the different approach by the hierarchy of the local government. Especially, the 3D GIS applications has to be focussed on the improvements of the existing GIS in local government. In carrying out the 3D GIS, the support programs considered the local government's peculiarity should have to accompany.

• Journal of Digital Convergence
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• v.10 no.7
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• pp.123-128
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• 2012

In this paper, we propose a landmark-detection system of object for more accurate object recognition. The landmark-detection system of object becomes divided into a learning stage and a detection stage. A learning stage is created an interest-region model to set up a search region of each landmark as pre-information necessary for a detection stage and is created a detector by each landmark to detect a landmark in a search region. A detection stage sets up a search region of each landmark in an input image with an interest-region model created in the learning stage. The proposed system uses Fast Fourier Transform to detect landmark, because the landmark-detection is fast. In addition, the system fails to track objects less likely. After we developed the proposed method was applied to environment video. As a result, the system that you want to track objects moving at an irregular rate, even if it was found that stable tracking. The experimental results show that the proposed approach can achieve superior performance using various data sets to previously methods.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.3
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• pp.329-337
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• 2007

In this study, the interest of female high school students's(N=500) for weight control, as well as nutrient intake status, were analyzed. The mean age, height, and weight of the subjects were, 19.3 years, 162.2 cm and 55.4 kg respectively. Mean BMI was $21.1 kg/m^2$. According to BMI, the percentage of underweight, normal weight, overweight, and obese were 18.5 %, 60.3%, 11.3%, and 11.3% respectively. By the BMI criteria, 60.3% of the subjects were normal weight while the rate of self-recognition was 41.5%. The degree of satisfaction regarding self-body image was only 17.1% and 60.9% showed an interest in weight control. The reason for weight reduction were appearance(65.1 %) and health(24.2%). The body areas where subjects wanted to lose weight included the thighs(32.9%) and whole body(29.3%). They believed the most effective weight control strategy was exercise(81.1 %) and the strategies they used were diet(59.1 %) and exercise(40.4%). Energy intake was 1,733.4 kcal which was 86.7% of the estimated energy requirements(EER). Calcium, vitamin $B_2$, and vitamin C intakes were less than EAR by 34.4%, 40.4%, and 59.6% respectively. The intake of dietary fiber was 5.1 g only 21.1 % of the adequate intake(AI). In summary, high school females interested in weight control have significantly less calcium intake than their peers. The correlations between interest in weight control and weight and BMI were significant(p<0.001). The results of this study suggest that to achieve optimal growth, improved diets that include calcium, vitamin $B_2$, and vitamin C are recommended. High school females interested in weight control should especially be targeted for education on calcium intake.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.6
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• pp.26-37
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• 2001

In order to improve the several problems of the general backpropagation, we propose a method using a fuzzy logic system for automatic tuning of the activation function gain in the backpropagation. First, we researched that the changing of the gain of sigmoid function is equivalent to changing the learning rate, the weights, and the biases. The inputs of the fuzzy logic system were the sensitivity of error respect to the last layer and the mean sensitivity of error respect to the hidden layer, and the output was the gain of the sigmoid function. In order to verify the effectiveness of the proposed method, we performed simulations on the parity problem, function approximation, and pattern recognition. The results show that the proposed method has considerably improved the performance compared to the general backpropagation.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.1
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• pp.1-6
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• 2010

The lens distortion in the machine vision system is inevitable phenomenon. Distortion is getting worse, due to the selection of lens in the trend of reducing prices and size of the system. In this trend, the distortion correction becomes more important. But, the traditional correction methods has problems, such as complexity and requiring more operations. Effective distorted digital image correction is the precondition of target detection and recognition based on vision inspection. To overcome the disadvantage of traditional distortion correction algorithms, such as complex modeling, massive computation and marginal information loss, an image distortion correction algorithm based on photogrammetry method is proposed in this paper. In our method, we use the lattice image as the measurement target. Through the experimental results, we could find that we can reduce the processing time by 4ms. And also the inspection failure rate of our method was reduced by 2.3% than human-eyes inspection method.

• Journal of IKEEE
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• v.21 no.4
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• pp.358-367
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• 2017

Advanced Driver Assistance Systems(ADAS), such as Front Collision Warning System (FCWS) are currently being developed. FCWS require high processing speed because it must operate in real time while driving. In addition, a low-power system is required to operate in an automobile embedded system. In this paper, FCWS is implemented in CPU-FPGA architecture in embedded system to enable real-time processing. The lane detection enabled the use of the Inverse Transform Perspective (IPM) and sliding window methods to operate at fast speed. To detect the vehicle, a Convolutional Neural Network (CNN) with high recognition rate and accelerated by parallel processing in FPGA is used. The proposed architecture was verified using Intel FPGA Cyclone V SoC(System on Chip) with ARM-Core A9 which operates in low power and on-board FPGA. The performance of FCWS in HD resolution is 44FPS, which is real time, and energy efficiency is about 3.33 times higher than that of high performance PC enviroment.