• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.783-788
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• 2003

In this paper, we present a new approach to detect and recognize human face in the image from vision camera equipped on the mobile robot platform. Due to the mobility of camera platform, obtained facial image is small and pose-various. For this condition, new algorithm should cope with these constraints and can detect and recognize face in nearly real time. In detection step, ‘coarse to fine’ detection strategy is used. Firstly, region boundary including face is roughly located by dual ellipse templates of facial color and on this region, the locations of three main facial features- two eyes and mouth-are estimated. For this, simplified facial feature maps using characteristic chrominance are made out and candidate pixels are segmented as eye or mouth pixels group. These candidate facial features are verified whether the length and orientation of feature pairs are suitable for face geometry. In recognition step, pseudo-convex hull area of gray face image is defined which area includes feature triangle connecting two eyes and mouth. And random lattice line set are composed and laid on this convex hull area, and then 2D appearance of this area is represented. From these procedures, facial information of detected face is obtained and face DB images are similarly processed for each person class. Based on facial information of these areas, distance measure of match of lattice lines is calculated and face image is recognized using this measure as a classifier. This proposed detection and recognition algorithms overcome the constraints of previous approach [15], make real-time face detection and recognition possible, and guarantee the correct recognition irregardless of some pose variation of face. The usefulness at mobile robot application is demonstrated.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.6
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• pp.68-76
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• 2011

We introduce a parallax barrier type autostereoscopic display in order to overcome the limited viewing angle of the conventional parallax barrier type displays. The proposed method adopts a special structure of double pairs of ITO that have a common TN-LC at the core of the conventional parallax barrier. Compared with the conventional parallax barrier type displays, the proposed display uses moving parallax barriers and eye tracking system to make stereoscopic view images adapted to the movement of viewer. We implemented a prototype of the proposed dual layer parallax barrier system, and verified that the proposed autostereoscopic display maintains seamless 3D views even when a viewer's head is moving.

• Annals of Clinical Neurophysiology
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• v.3 no.1
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• pp.26-30
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• 2001

Purpose : Eyeball movement is one of the main artifacts in EEG. A new approach to the removal of these artifacts is presented using independent component analysis(ICA). This technique is a signal-processing algorithm to separate independent sources from unknown mixed signals. This study was performed to show that ICA is a useful method for the separation of EEG components with little data deformity. Methods : 12 sets of 10 sec digital EEG data including eye opening and closure were obtained using international 10~20 system scalp electrodes. ICA with 18 tracings of double banana bipolar montage was performed. Among obtained 18 independent components, two components, which were thought to be eyeball movements were removed. Other 16 components were reconstructed into original bipolar montage. Power spectral analysis of EEGs before and after ICA was done and compared statistically. Total 12 pairs of data were compared by visual inspection and relative power comparison. Results : Waveforms of each pair looked alike by visual inspection. Means of relative power before and after ICA were 29.16% vs. 28.27%, 12.12% vs. 12.41%, 10.55% vs. 10.52%, and 19.33% vs. 18. 33% for alpha, beta, theta, and delta, respectively. These values were statistically same before and after ICA. Conclusions : We found little data deformity after ICA and it was possible to isolate eyeball movements in EEG recordings. Many other components of EEG could be selectively separated using ICA.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.17 no.5
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• pp.436-448
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• 1984

The taxonomy of gudgeons of the subfamily Gobioninae in Korea is reviewed and keys to supraspecific taxa (subfamilies and genera) of the subfamily Gobioninae are provided, as well as the synonyms and distribution of the species or subspecies. Abbottina springeri, poorly known in Korea is redescribed with the extention of its known morphological characters and geographical distribution. Squalidus sp. occurring rivers of the Yongdokoship, the Hyongsan, and the Hoeya in the Gyongsangbugdo and in the Gyongsangnamdo differs from three previously described species from Korea in the numbers and structure of lateral line scales, color patterns on the body sides, and eye diameter etc. The genus name of Gonoprcktopterus mylodon should be transferred from Gonoproktopterus to Hemibarbus, because the species is more similar to Hemibarbus longirostris or Belligobio eristrigma than to Gonoproktopterus, an Indian genus of Barbinae. The korean gudgeons of the subfamily Gobioninae are grouped five possible phyletic series, as follow ; Hemibarbus, Pseudorasbora, Sarcocheilichthys, Gnathopogon, and Pseudogobio group. The genus Gobiobotia is not placed in the subfamily Gobioninae but in the subfamily Gobiobotinae in relation to 3 pairs of mental barbels and some osteological characters.

• Korean Journal of Ichthyology
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• v.25 no.4
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• pp.222-226
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• 2013

As Carangoides ferdau was previously reported based on its underwater photograph, morphological descriptions have been incomplete up to the presence in Korea. On the base of two samples collected at the coast of Jeju island, morphological characters of C. ferdau are described in detail. This species is characterized by having the forepart of second dorsal fin much prolonged, 7~8 transverse dark bands on body, and snout length almost equal to eye diameter. It is morphologically very similar to C. orthogroammus, but is easily distinguished in having transverse dark bands instead of yellow spot on the body of C. orthogroammus. Phylogenetic relationships based on the mitochondrial cytochrome b (1,141 base pairs) sequences shows that C. ferdau is closely related to C. orthogroammus, and C. dinema also has a sister group relationship with C. ablongus. Both genetic distances (p-distances) are 8.2%, respectively.

• Korean Journal of Ichthyology
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• v.35 no.1
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• pp.57-63
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• 2023

Four individuals of Lipolagus ochotensis larvae (13.4~21.3 mm SL), belong to the family Bathylagidae, were collected by a Bongo net from the southern waters off Jejudo Island, Korea in February to March 2018. L. ochotensis is characterized by a elongated and compressed body, the eye stalks, series of melanophores on posterior of body, dorsal fin origin above the middle of the body. A molecular analysis based on 625 base pairs sequences in the mitochondrial DNA cytochrome c oxidase subunit I region shows that specimens were closely matched to adult L. ochotensis (genetic distance=0.024). We report the first record of family Bathylagidae, genus Lipolagus, L. ochotensis in Korean waters, and suggest their new Korean names, "Sim-hae-bing-eo-gwa", "Geom-eun-bing-eo-sok", and "Geom-eun-bbyam-bing-eo", respectively.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.1
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• pp.105-114
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• 2016

With approximately 20 million transportation card data entries of the metropolitan districts being generated per day, application of the data to management and policy interventions is becoming an issue of interest. The research herein attempts a model of the possibility of dynamic demand change predictions and its purpose is thereby to construct a Dynamic Passengers Trip Assignment Model. The model and algorithm created are targeted at city rail lines operated by seven different transport facilities with the exclusion of travel by bus, as passenger movements by this mode can be minutely disaggregated through card tagging. The model created has been constructed in continuous time as is fitting to the big data characteristic of transport card data, while passenger path choice behavior is effectively represented using a perception parameter as a function of increasing number of transfers. Running the model on 800 pairs of metropolitan city rail data has proven its capability in determining dynamic demand at any moment in time, in line with the typical advantages expected of a continuous time-based model. Comparison against data measured by the eye of existing rail operating facilities to assess changes in congestion intensity shows that the model closely approximates the values and trends of the existing data with high levels of confidence. Future research efforts should be directed toward continued examination into construction of an integrated bus-city rail system model.