• Transactions of the Korean Society of Automotive Engineers
• /
• v.11 no.5
• /
• pp.193-200
• /
• 2003

A computer simulation program to evaluate the performance of railway systems and train operation plans and the effects of new technologies is provided. The program has the functions of tracing the movements of trains on railway network following the indication of railway signalling system and obeying all kinds of operation rules. An object-oriented technique is applied to model railway system effectively, and it is expected that the program code can be reused easily for other railway simulation programs. Dedicated graphic user interface displaying the simulation outputs by animation during simulation process makes the program convenient to use. Simulation results on the train operations on Kyung-bu line show the proposed program is promising.

• Journal of KIISE:Computer Systems and Theory
• /
• v.28 no.10
• /
• pp.499-506
• /
• 2001

Terrain Following means that a mobile object, such a user's avatar, must follow terrain, remaining in contact with the ground at all times in virtual environments. This makes a virtual environment have the effects of gravity. Terrain Following is often done using collision detection: however this is inefficient, because general collision detection solves a problem that is inherently more complex than merely determining terrain contact points. Many virtual environments avoid the expense by utilizing a flat terrain with a constant altitude everywhere. This makes a terrain following trivial, but lacks realism. This paper provides as algorithm and a data structure for a terrain following using a neighboring area search as a way to search neighboring polygons. Because this algorithm uses a pre-processing step that stores the terrain polygons for calculating, it results in reducing overheads to workstations that is used to construct and maintain a virtual environment. Consequently, workstation can be used to apply not only a terrain following but also other things.

• International Journal of Control, Automation, and Systems
• /
• v.4 no.2
• /
• pp.204-216
• /
• 2006

Latest advances in hardware technology and state of the art of mobile robot and artificial intelligence research can be employed to develop autonomous and distributed monitoring systems. And mobile service robot requires the perception of its present position to coexist with humans and support humans effectively in populated environments. To realize these abilities, robot needs to keep track of relevant changes in the environment. This paper proposes a localization of mobile robot using the images by distributed intelligent networked devices (DINDs) in intelligent space (ISpace) is used in order to achieve these goals. This scheme combines data from the observed position using dead-reckoning sensors and the estimated position using images of moving object, such as those of a walking human, used to determine the moving location of a mobile robot. The moving object is assumed to be a point-object and projected onto an image plane to form a geometrical constraint equation that provides position data of the object based on the kinematics of the intelligent space. Using the a priori known path of a moving object and a perspective camera model, the geometric constraint equations that represent the relation between image frame coordinates of a moving object and the estimated position of the robot are derived. The proposed method utilizes the error between the observed and estimated image coordinates to localize the mobile robot, and the Kalman filtering scheme is used to estimate the location of moving robot. The proposed approach is applied for a mobile robot in ISpace to show the reduction of uncertainty in the determining of the location of the mobile robot. Its performance is verified by computer simulation and experiment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.05a
• /
• pp.866-869
• /
• 2015

In this paper, we propose a device for detect front object using low-price the CW Doppler sensor to prevent safety accident such as a bicycle, an electric wheelchair users. For this propose, we develop a signal process board and the object motion detect algorithm using to analyzing output signal of the CW Doppler sensor. Output signal from CW Doppler sensor is analog I and analog Q. The CW Doppler sensor shows phase I and phase Q of object differently when the object approach, stop, drop by sensor. We develop an algorithm that can detect object by discrimination information of phase using the CW Doppler sensor. The verification use firmware of applied hardware and algorithm. Then, the motion information can be confirming output depending on motion object by experiment normally. As a result, we check that the sensing information output by following motion of object and confirm an algorithm and motion of signal processing board.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• v.22 no.4
• /
• pp.219-227
• /
• 2011

Objectives : This study examined maternal object relations, child's and mother's perception on rearing attitude, and children's self-esteem in children with attention-deficit hyperactivity disorder (ADHD) and their mothers. Methods : 64 children with ADHD and their mothers were included in the study group. In the control group, there were 85 children and their mothers. Mothers completed the following tests : Bell object relation inventory (BORI), maternal behavior research instrument (MBRI), Beck Depression Inventory (BDI), and Korean ADHD Rating Scale (K-ARS). Children completed Children's Report of Parental Behavior Inventory (CRPBI) and Rosenberg self-esteem scale. Results : Mothers of ADHD children displayed more rejecting and controlling parenting style than mothers in the control group. ADHD children showed lower self-esteem and perceived their parents as not affectionate, but rejecting and controlling. Mothers with ADHD children who belonged to object relations pathological group showed more rejecting rearing attitude and their children believed that they were more controlling, compared with children and mothers in other conditions. Among factors in mother's object relations, insecure attachment and ego-centricity impacted the rearing attitude. In turn, affective rearing attitude mainly influenced children's self-esteem. Conclusion : This study suggests that the approach focused on mother's object relations may help with the treatment of children with ADHD.

• IEIE Transactions on Smart Processing and Computing
• /
• v.1 no.2
• /
• pp.78-87
• /
• 2012

In this paper, we address the tracking problem caused by camera motion and rolling shutter effects associated with CMOS sensors in consumer handheld cameras, such as mobile cameras, digital cameras, and digital camcorders. A modified particle filtering method is proposed for simultaneously tracking objects and compensating for the effects of camera motion. The proposed method uses an elastic registration algorithm (ER) that considers the global affine motion as well as the brightness and contrast between images, assuming that camera motion results in an affine transform of the image between two successive frames. By assuming that the camera motion is modeled globally by an affine transform, only the global affine model instead of the local model was considered. Only the brightness parameter was used in intensity variation. The contrast parameters used in the original ER algorithm were ignored because the change in illumination is small enough between temporally adjacent frames. The proposed particle filtering consists of the following four steps: (i) prediction step, (ii) compensating prediction state error based on camera motion estimation, (iii) update step and (iv) re-sampling step. A larger number of particles are needed when camera motion generates a prediction state error of an object at the prediction step. The proposed method robustly tracks the object of interest by compensating for the prediction state error using the affine motion model estimated from ER. Experimental results show that the proposed method outperforms the conventional particle filter, and can track moving objects robustly in consumer handheld imaging devices.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2010.07a
• /
• pp.138-141
• /
• 2010

In this paper, we propose a semi-automatic method for semantic video object extraction which extracts meaningful objects from an input sequence with one correctly segmented training image. Given one correctly segmented image acquired by the user's interaction in the first frame, the proposed method automatically segments and tracks the objects in the following frames. We formulate the semantic object extraction procedure as an energy minimization problem at the fragment level instead of pixel level. The proposed energy function consists of two terms: data term and smoothness term. The data term is computed by considering patch similarity, color, and motion information. Then, the smoothness term is introduced to enforce the spatial continuity. Finally, iterated conditional modes (ICM) optimization is used to minimize energy function in a globally optimal manner. The proposed semantic video object extraction method provides faithful results for various types of image sequences.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.5
• /
• pp.2523-2538
• /
• 2017

In most of the existing literature, the definition of the class label has the following characteristics. First, the class label of the samples from the same object has an absolutely fixed value. Second, the difference between class labels of the samples from different objects should be maximized. However, the appearance of a face varies greatly due to the variations of the illumination, pose, and expression. Therefore, the previous definition of class label is not quite reasonable. Inspired by discriminative least squares regression algorithm (DLSR), a noisy label based discriminative least squares regression algorithm (NLDLSR) is presented in this paper. In our algorithm, the maximization difference between the class labels of the samples from different objects should be satisfied. Meanwhile, the class label of the different samples from the same object is allowed to have small difference, which is consistent with the fact that the different samples from the same object have some differences. In addition, the proposed NLDLSR is expanded to the kernel space, and we further propose a novel kernel noisy label based discriminative least squares regression algorithm (KNLDLSR). A large number of experiments show that our proposed algorithms can achieve very good performance.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.8 no.2
• /
• pp.109-123
• /
• 2006

Cosplay is compound of 'costume' and 'play' and teenagerses disguise equally with populace star or cartoon master who like and it is typical culture of character generation as play that imitate to dress and hair style, gestures. Type of cosplay costume get devided as following according to cosplay object. Animation cosplay costume represent person who appear in cartoon and animation equally. Fan cosplay costume imitates entertainer or celebrity. Game cosplay costume represent character of internet on-line Same. Movie cosplay costume is more realistic than animation or game Character as that imitate moviestar. Character cosplay costume is used by commerce purpose brand or event. Characteristics that appeared commonly in types of cosplay costume are as following. First, cosplay costume is consisted of peculiar mechanism that cosplayer perform series progress such as work selection, design development, manufacture, production, acting alone in aspect of Performance costume. Second, according to cosplay object, degree of representation became different. Character is stronger, because the characteristic is emphasized, tendency that degree of reproduction becomes low showed. Third, cosplayer's distiction appeared according to material selection, design development method and analysis.

• Korean Institute of Interior Design Journal
• /
• no.38
• /
• pp.233-240
• /
• 2003

The purpose of this study was to find the coordination trend of the Image of the color and object from the department show-window display locating in the kangnam area. The result of this study were summarized as following: 1) Show window display determinating the first image of department-store marketing service, playing the role of visual marketing provides the valuable impressions with shoppers in the times of sensibility, 2) In contemporary recognition of "Design is namely culture", show window display proceeds on the direction of concrete and practical presentation of merchandise as many customers are pursuing the high graded luxury brands while their life styles change. 3) Main concept is represented by the coordinated fashion goods on the mannequin or the body and the main theme is displayed variously in the circumferential area or on the articles with the abstract and concrete objects of diverse forms of dominant color and accent color conveying the seasonal theme precisely. 4) The compositive element of color Is the decisive factor of the visual sense of space In the coordination-trends of show window display specially representing the seasonal theme or the intentional messages and conduces to the psychological and mental desire in human and the circumstances, 5) Following the color, the compositive element of object presents the concrete image of theme or the abstract and geometrical sense of space besides the visual sense of space and shows the proportionality and the activity in displaying the show window space.dow space.