• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.11
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• pp.79-88
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• 1999

In this paper we address the tracking method which tracks only target object in image sequence including moving object. We use a contour tracking algorithm based on intensity and motion boundaries. The motion of the moving object contour in the image is assumed to be well describable by an affine motion model with a translation, a change in scale and a rotation. The moving object contour is represented by B-spline, the position and motion of which is estimated along the image sequence. we use pattern recognition to identify target object. In order to use linear Kalman Filters we decompose the estimation process into two filters. One is estimating the affine motion parameters and the other the shape of moving object contour. In some experiments with dial plate we show that this method enables us to obtain the robust motion estimates and tracking trajectories even in case of including obstructive object.

• Journal of Korean Society of Transportation
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• v.28 no.4
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• pp.107-118
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• 2010

Wireless communication technologies including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) enable the development of more sophisticated and effective traffic information systems. This study presents a method to estimate vehicular travel times in a vehicular ad hoc network (VANET) environment. A novel feature of the proposed method is estimating individual vehicle travel times through advanced on-board units in each vehicle, referred to as self-estimated travel time in this study. The method uses travel information including vehicle position and speed at each given time step transmitted through the V2V and V2I communications. Vehicle trajectory data obtained from the VISSIM simulator is used for evaluating the accuracy of estimated travel times. Relevant technical issues for successful field implementation are also discussed.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.47 no.1
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• pp.27-36
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• 2011

Squid by-product like viscera has just been recognized as one of the serious pollutants on the surrounding marine environment in Ulleung island of Korea. The effect as a marine pollutant, however, has not been examined and evaluated properly. It was carried out the comprehensive examination of the marine pollution by disposing squid by-products. The sediments and water qualities were investigated in several positions, including the dumping position around Ulleung island. It is also estimated a spreading of by-product in terms of estimating the sinking speed and evaluating the attracting characteristics as a feed. As a result, There were no significant pollutions of the sediment and water quality. The spreading of by-product by the local current was 2-2.5 times of the depth, and it will become longer in spring tide. It was confirmed that the squid by-product has attracting ability for local fish by acoustical survey. Furthermore, it can be useful for the local fish species as feeds.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.4
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• pp.1605-1608
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• 2015

Purpose: To investigate the expression of Ki67 protein in papillary thyroid microcarcinoma(PTMC), and to analyze its clinical significance. Materials and Methods: Ki67 protein expression was evaluated in the tissues of 108 human PTMC and 50 other benign papillary hyperplasia of thyroid specimens using immunohistochemistry. Results: The expression intensity of Ki67 in PTMC and benign papillary hyperplasia of thyroid specimens were $1.45{\pm}1.83%$ and $0.46{\pm}0.46%$.The positive expression rates were 46.3% and 14%. There were significant differences between these two groups (p<0.01). There was no significant variation of the expression intensity and positive expression rates of Ki67 in PTMC with gender, age, position of the tumor and the level of TSH pre-operation (p>0.05), but these parameters varied with tumor size, invasion by membrane and cervical lymph node metastasis (p<0.05 or p<0.01). Conclusions: The expression of Ki67 in PTMC was related to tumor size, invasion by membrane and cervical lymph node metastasis, and could be the important indicator for judging clinical progress and estimating prognosis.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.5
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• pp.460-465
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• 2013

In this paper, we describe a security robot system to control human's behavior in the security area. In order to achieve these goals, we present a method for representing, tracking and human blocking by laserscanner systems in security area, with application to pedestrian tracking in a crowd. When it detects walking human who is for the security area, robot calculates his velocity vector, plans own path to forestall and interrupts him who want to head restricted area and starts to move along the estimated trajectory. While moving the robot continues these processes for adapting change of situation. After arriving at an opposite position human's walking direction, the robot advises him not to be headed more and change his course. The experimental results of estimating and tracking of the human in the wrong direction with the mobile robot are presented.

• Journal of Advanced Navigation Technology
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• v.19 no.1
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• pp.74-79
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• 2015

In this paper, in order to improve the error is utilized to location tracking the smart sensor detects a walking information user, RSSI is to provide an indoor position tracking system that is capable of correcting an error in terms weak. The acceleration sensor is able to detect the activity in the user walking and detects the number of step and the moving distance using the same. The Direction sensor is utilized as a digital compass, to detect the moving direction of the user. As a result of detecting the walking information using the sensor, it can be showed that this proposed indoor positioning system has a high degree of accuracy for the number of steps and the movement direction. Therefore, this paper shows that the proposed technique can correct the error of the location information to be problem in the conventional indoor location system which uses the only Wi-Fi APs by estimating the user's movement direction and distance using the sensors in smartphone without an additional equipment and cost.

• Journal of Advanced Navigation Technology
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• v.23 no.6
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• pp.526-534
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• 2019

Localization methods using radio signals should obtain range measurements from three or more anchors. However, a typical building consists of narrow, long hallways and corners, making it difficult to secure more than three light of sight anchors. The result is a multi-modal solution that makes it difficult to estimate the user's location. In order to overcome this problem, this paper proposes a method for estimating the location using artificial neural networks. Using the artificial neural network, even if a multi-modal solution occurs, the position can be estimated by acquiring user movement pattern information based on accumulated range measurements. The method does not require any additional equipment or sensors, and only anchor-based range measurements can estimate the user's location. In order to verify the proposed method, location estimation tests were performed in situations where the multi-modal solution occurred by installing an insufficient number of anchors in a building. As a result, it was confirmed that the location can be estimated even when the number of anchors is insufficient.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.3
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• pp.315-327
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• 2017

In this paper, we present a method for estimating of position and velocity of a moving target by using the range and the bearing measurements from multiple sensors of aiming unit. In many cases, conventional low cost gyro sensor and a portable laser range finder(LRF) degrade the accuracy of estimation. To enhance these problems, we propose two methods. The first is background image tracking and the other is principal component analysis (PCA). The background tracking is used to assist the low cost gyro censor. And the PCA is used to cope with the problems of a portable LRF. In this paper, we prove that our method is robust with respect to low-frequency, biased and noisy inputs. We also present a comparison between our method and the extended Kalman filter(EKF).

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.183-191
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• 2018

In this study a traffic volume dependent displacement estimation model for Gwangan Bridge was developed using bridge monitoring big data. Traffic volume data for four different vehicle types and the vertical displacement data in the central position of the Gwangan Bridge were used to develop and validate the estimation model. Two statistical estimation models were developed using multiple regression analysis (MRA) and principal component analysis (PCA). Estimation performance of those two models were compared with actual values. The results show that both the MRA and the PCA based models are successfully estimating the vertical displacement of Gwangan Bridge. Based on the results, it is concluded that the developed model can effectively be used to predict the traffic volume dependent displacement behavior of Gwangan Bridge.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.2
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• pp.109-114
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• 2018

PURPOSE: The purpose of this study conducted the experiment to check change of ability to grip depending on normal male adult's elbow flexion angle and the effect of kinesiology tape application. METHODS: Normal male adults who studies in H university where located in Kyoungbook state and did not have any factors like fracture, osteoarthritis, deformities and non-neurologic issue which might influence the result of this study were selected as subjects. Elbow of subjects were applied by 5cm wideness kinesiology tape and elbow's angle was selected by $0^{\circ}$, $45^{\circ}$, $90^{\circ}$, $135^{\circ}$ using Goniometer. The change of ability to grip depending on flexion was measured by an electronic dynamometer before and after taping. RESULTS: Before and after taping elbow joint, both ability to grip decrease in more flexion angle and $135^{\circ}$ of elbow flexion was lowest value, 299.84N. Using kinesiology tape, neutral position $0^{\circ}$ was the highest value, 352.26N. The lowest was 331.68N on $135^{\circ}$. According to verifying the change of ability to grip depending on elbow flexion and the change of ability to grip after taping with paired t-test, the result was p<.05, there was significant difference. CONCLUSION: Using electronic dynamometer and estimating the ability to grip after and before kinesiology tape, the ability to grip decrease in more elbow flexion. The ability to grip after using kinesiology tape was relatively higher than before taping.