• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.470-477
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• 2009

Modular reconfigurable robots with physical docking capability easily adapt to a new environment and many studies are necessary for the modular robots. In this paper, we propose a vision-based fuzzy autonomous docking controller for the modular docking robots. A modular docking robot platform which performs real-time image processing is designed and color-based object recognition method is implemented on the embedded system. The docking robot can navigate to a subgoal near a target robot while avoiding obstacles. Both a fuzzy obstacle avoidance controller and a fuzzy navigation controller for subgoal tracking are designed. We propose an autonomous docking controller using the fuzzy obstacle avoidance and navigation controllers, absolute distance information and direction informations of robots from PSD sensors and a compass sensor. We verify the proposed docking control method by docking experiments of the developed modular robots in the various environments with different distances and directions between robots.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.4
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• pp.1-13
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• 2007

We make image that accumulate two principal component after change picture to use GLCM(Gray Level Co-Occurrence Matrix)'s texture feature information. And then these images use preprocess to achieved corner detection and area detection. Experiment results, two principle component conversion accumulation images had most informations about six kind textures by Eigen value 94.6%. When compared with red tide area that uses sea color and red tide area of image that have all principle component, displayed the most superior result. Also, we creates Euclidian space using Euclidian distance measurement about red tide area and clear sea. We identify of red tide area by red tide area and clear sea about random sea area through Euclidian distance and spatial distribution.

• Agricultural and Biosystems Engineering
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• v.1 no.2
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• pp.95-99
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• 2000

Nondestructive methods such as ultrasonic and magnetic resonance imaging systems have many advantages but still much expensive. And they do not give exact color information and may miss some details. If it is allowed to destruct some biological objects to get interior and exterior informations, constructing 3D image form a series of slices sectional images gives more useful information with relatively low cost. In this paper, a PC based automatic 3D model generator was developed. The system was composed of three modules. The first module was the object handling and image acquisition module, which fed and sliced the object sequentially and maintains the paraffine cool to be in solid state and captures the sectional image consecutively. The second one was the system control and interface module, which controls actuators for feeding, slicing, and image capturing. And the last was the image processing and visualization module, which processed a series of acquired sectional images and generated 3D volumetric model. Handling module was composed of the gripper, which grasped and fed the object and the cutting device, which cuts the object by moving cutting edge forward and backward. sliced sectional images were acquired and saved in a form of bitmap file. 2D sectional image files were segmented from the background paraffine and utilized to generate the 3D model. Once 3-D model was constructed on the computer, user could manipulated it with various transformation methods such as translation, rotation, scaling including arbitrary sectional view.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5646-5653
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• 2015

This study focused on the architectural, interior and management guidelines in rehabilitation center for visually impaired persons. For these purposes, we reviewed the movement behaviors and the characteristics of fire drill in rehabilitation center for visually impaired persons. The results are as follows. : First, the liner circulation paths and interior landmarks are recommended, and dwelling units and program rooms should be located in ground floor for barrier free evacuation. Second, It is important to establish continuous handrail, variations of paving patterns and materials, good color definition, tactile informations and directional sound. Third, it is necessary to serve more specified architectural, interior, and management guidelines according to impaired prototypes.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.4
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• pp.47-54
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• 2010

We propose a smart human-computer interface replacing conventional mouse interface. The interface is able to control cursor and command action with only hand performing without object. Four finger motions(left click, right click, hold, drag) for command action are enough to express all mouse function. Also we materialize cursor movement control using image processing. The measure what we use for inference is entropy of EMG signal, gaussian modeling and maximum likelihood estimation. In image processing for cursor control, we use color recognition to get the center point of finger tip from marker, and map the point onto cursor. Accuracy of finger movement inference is over 95% and cursor control works naturally without delay. we materialize whole system to check its performance and utility.

• Korean Journal of Plant Resources
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• v.18 no.2
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• pp.309-314
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• 2005

This study was carried out to obtain the basic informations on the flowering habit, pollination patterns and seed setting in Hosta plantaginea Aschers. Flowers came out in the night with white color. Almost fertilization seemed to be out by wind in early and full flowering. But bearing pods by insects and fertilization rate by wind were increased by interval of flowering and particular scent slowly decreased in after flowering. Bearing pods and seeds setting rate were $65.0\%,\;40.9\%$ per peduncle after artificial pollination, and also $33.3\%,\;24.3\%$ in natural pollination, respectively. The flowering times was all around seven to eight o'clock at night and optimum temperature for pollination was $25{\sim}28^{\circ}C$.

• The Journal of Korean Obstetrics and Gynecology
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• v.25 no.4
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• pp.27-37
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• 2012

Purpose: Dysmenorrhea is mostly depending on the causative factor, which usually falls under the categories of Cold and Heat pattern in traditional Oriental medical theories and diagnosis. Thus, we investigated menstruation symptom and sign related to dysmenorrhea and verified the validity of Cold and Heat pattern identification. Methods: We investigated menstruation symptom and sign related to dysmenorrhea in total 14 gynecology-medical books including ${\ll}$Exemplar Of Korean Medicine (Dongui Bogam)${\gg}$ and whole body symptom and sign identifying Cold and Heat pattern at the same time. A survey based on this investigation was carried out targeting women of childbearing age. Results: According to 14 gynecology-medical books, polymenorrhea is relevant to Heat pattern, oligomenorrhea to Cold pattern and darkness of menstrual blood is relevant to Heat pattern. Among the total of 343 womens, 196 subjects suffered from dysmenorrhea. The number of dysmenorrhea with polymenorrhea(Heat pattern) was 6 person, with oligomenorrhea(Cold pattern) was 27 person. And the number of dysmenorrhea with darkness of menstrual blood(Heat pattern) was 39 person. As the result of checking correlations of menstrual symptom scores and whole body symptom scores, there was no significance of Cold and Heat pattern between menstrual symptoms and whole body symptoms. Conclusions: The results suggest that the period of menstrual cycle and the color of menstrual blood provides some informations of Cold and Heat pattern identification. But considering with other whole body symptom and sign is needed for more precise result.

• The KIPS Transactions:PartB
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• v.9B no.6
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• pp.853-862
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• 2002

Face Detection can be defined as follows : Given a digitalized arbitrary or image sequence, the goal of face detection is to determine whether or not there is any human face in the image, and if present, return its location, direction, size, and so on. This technique is based on many applications such face recognition facial expression, head gesture and so on, and is one of important qualify factors. But face in an given image is considerably difficult because facial expression, pose, facial size, light conditions and so on change the overall appearance of faces, thereby making it difficult to detect them rapidly and exactly. Therefore, this paper proposes fast and exact face detection which overcomes some restrictions by using neural network. The proposed system can be face detection irrelevant to facial expression, background and pose rapidily. For this. face detection is performed by neural network and detection response time is shortened by reducing search region and decreasing calculation time of neural network. Reduced search region is accomplished by using skin color segment and frame difference. And neural network calculation time is decreased by reducing input vector sire of neural network. Principle Component Analysis (PCA) can reduce the dimension of data. Also, pose estimates in extracted facial image and eye region is located. This result enables to us more informations about face. The experiment measured success rate and process time using the Squared Mahalanobis distance. Both of still images and sequence images was experimented and in case of skin color segment, the result shows different success rate whether or not camera setting. Pose estimation experiments was carried out under same conditions and existence or nonexistence glasses shows different result in eye region detection. The experiment results show satisfactory detection rate and process time for real time system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.4
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• pp.897-904
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• 2005

Face Recognition has been an active research area because it is not difficult to acquire face image data and it is applicable in wide range area in real world. Due to the high dimensionality of a face image space, however, it is not easy to process the face images. In this paper, we propose a method to reduce the dimension of the facial data and extract the features from them. It will be solved using the method which extracts the features from holistic face images. The proposed algorithm consists of two parts. The first is the using of principal component analysis (PCA) to transform three dimensional color facial images to one dimensional gray facial images. The second is integrated linear discriminant analusis (PCA+LDA) to prevent the loss of informations in case of performing separated steps. Integrated LDA is integrated algorithm of PCA for reduction of dimension and LDA for discrimination of facial vectors. First, in case of transformation from color image to gray image, PCA(Principal Component Analysis) is performed to enhance the image contrast to raise the recognition rate. Second, integrated LDA(Linear Discriminant Analysis) combines the two steps, namely PCA for dimensionality reduction and LDA for discrimination. It makes possible to describe concise algorithm expression and to prevent the information loss in separate steps. To validate the proposed method, the algorithm is implemented and tested on well controlled face databases.

• Journal of the Korean Society of Food Science and Nutrition
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• v.22 no.4
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• pp.428-432
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• 1993

For the elucidation of some informations on juice manufacturing properties of tomato, physical, chemical and sensory characteristic were analyzed for two groups of cultivation pattern-nonproped cultivation (5 varieties) and proped cultivation (4 varieties). The proped cultivation showed higher sugar content of juice than the nonproped on. Among the proped Jeokpung and Master 2 showed high value of sugar content. The lowest value of sugar content was observed in 79078$\times$ARC of the nonproped. There was no difference in acidity between cultivation groups but high value was observed in TM103, Jinhong from the nonproped and Jeokpung from the proped. There was no difference in pH between tomoto juice. High content of vitamin C was observed in 79078$\times$CL1561 from the nonproped and 76Moll-3-2-2 from the proped. High viscosity was observed in 79078$\times$CL1561 from the nonproped and Horgju from the proped. The nonproped showed greater value in dominant wavelength than the proped. Good Hope showed the greatest value in dominant wavelength, color score of panel test and yield. It was found that Good Hope from the nonproped and Jeokpung from the proped were suitable for juice processing. But better quality of juice can be possibly made by using various varieties rather than using single variety because each variety has each goodness of juice preparation separately.