• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.9
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• pp.2043-2052
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• 1997

The object-oriented coding technique which is one of the coding methods in very low bit rate environment is suitable for videophone image sequence. The selection of source model affect image analysis. In this paper, an image analysis method for the object-oriented coding is presented. The process is composed of changed region detection andmotion estimateion. First, we use the standard deviation of frame difference as thrreshold to extract themoving area. If thesum of gray values in mask is greater than the threshold, the center pixel of the mask is regarded as moving region. After moving is detected in changed region by edge operator, observation point is determined from moving region. The motion is estimated by 6-parameter mapping method with determined observation point. The experimantal resutls show that the proposed method can significantly improve the image quality.

• The Journal of Fisheries Business Administration
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• v.42 no.2
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• pp.31-45
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• 2011

Costal fisheries use small boat. The boats are frequently substituted with newly made boat or proper boat. When the boat which is substituted with another one after the fixed date for compensation is estimated for fisheries loss by public project, it is matter that which boat is the object for estimating average catch of fish. There are three ways in practical business. They are based on the date of spot probe, the date of conference for compensation and fixed date for compensation. In case of applying the first and the second ways, as the object of compensation is not fixed, there is problem that estimated result can be changed depending on changing boat tons even after the date of spot probe and the fixed date for compensation. Most of all, these ways are against Attached Form No.4 of the Enforcement Ordinance of Fisheries Law which regulate to calculate average catch of fish applying result of fishery for retroactively counted 3 years from the year before the year in which administrative measure day is. The other side, in applying boat tons based on the fixed date for compensation, estimated result of compensation will not change even boat substituted after the fixed date for compensation. Even though applying tons based on the fixed date for compensation, a problem still remains. If the boat get bigger after the fixed date for compensation, the then boat size must be applied for calculating average catch. But the boat get smaller, the changed boat size must be applied. Because changed small boat would be damaged less than the previous boat. And decrease in catch by changing boat into small one is not due to the project but due to the personal responsibility. This will help to increase objectivity and reliance on the compensation result. As the other objects are fixed based on the fixed date for compensation in the Act on Acquisition and Compensation of Land and Others for Public Project, it can be balanced with other object.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.5
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• pp.60-72
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• 1996

In this paper, a enw model-base three-dimensional (3-D) object recognition mehtod using hopfield network is proposed. To minimize deformation of feature values on 3-D rotation, we select 3-D shape features and 3-D relational features which have rotational invariant characteristics. Then these feature values are normalized to have scale invariant characteristics, also. The input features are matched with model features by optimization process of hopjfield network in the form of two dimensional arrayed neurons. Experimental results on object classification and object matching with the 3-D rotated, scale changed, an dpartial oculued objects show good performance of proposed method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.11
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• pp.1132-1142
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• 1991

This paper proposed a method of feature parameter extraction for shape information analysis of moving object. In the 2-D plane, moving object are extracted by the difference method. Feature parameters of moving object are chosen area, perimeter, a/p ratio, vertex, x/y ratio. We changed brightness variation from the range of 600Lux to the 1400Lux and then determined Permissible Error range of feature parameter due to the brightness variation. So as to verify the validity of proposed method, experiment are performed with a toy car and it's results showed that decision error was less than 6%.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.14 no.3
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• pp.54-59
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• 2005

The cylindrical object are widely used as mechanical parts in the manufacturing process. In order to handling those objects using a robot or an automated machine automatically, the pose of the object must be known. The pose can be described by two rotation angles; one angle about the x axis and the other about the y axis. In the many previous researches these angles were obtained by the computationally intensive algorithm, that is, fitting the data as a polynomial and doing pseudo inverse. So that, this method required high performance microprocessor. In this paper in order to avoid complex computation, a new method based on a genetic algorithm is proposed and analyzed through a series of simulations. This algorithm utilized the geometry of the cylindrical shape. The simulation results show that this method find the pose angles very well In most cases, but the computation time is randomly changed because the genetic algorithm is basically one of the random search method.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.231-234
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• 2010

Recently, the construction industry has been changed more highly and complicacy. According to this, several informational systems of maintenance are introduced suitable the work and the purpose of each maintenance. However there are some problems in the manage the information of maintenance management by without the standization and systematic management of variable information from building life-cycle. This paper purposed the process of creation or management of information which is used for present maintenance through IFC-based facilities object library development is suggested for work efficiency of maintenance management. In addition, it can minimize the reproduce the same information unnecessarily. Fainally, it makes information compatibility through the building life-cycle highly by define the IFC-based object information and standardize the format of information.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10b
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• pp.1167-1172
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• 1990

This paper discusses a force distribution scheme which minimizes the weighted norm of the forces/torques applied on weak points of cooperating multiple robot arms. The scheme is proposed to avoid the damage or unwanted motion of any weak point of robots or object stemming from excessive forces/torques. Since the proposed scheme can be used for either the joint torque minimization or the exerted force minimization on the object, it can be regarded as a unified force minimization method for multiple robot arms. The computational complexity in this scheme is analyzed using the properties of Jarcobian. Simulation of two identical PUMA robots held an object is carried out to illustrate the proposed scheme. By the proper choice of the weighting matrix in the performance index, we show that force minimization for a weak point can be achieved, and that the exerted force minimization on the object can be changed to the joint torque minimization.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.49-59
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• 2014

The Internet of Things(IoT) is a new promising technology made from a variety of technology. The IoT links the objects or people, then enabling anytime, anywhere connectivity for anything and not only for anyone. Social networking services have changed the way people communicate. Recently, new research challenges in many areas of Internet of things and social networking services are fired. In this paper, we propose things recommendation method using social relationship in social Internet of Things. We study previous researches about social network service, IoT, and social IoT. We proposed SIoT_FW(Social IoT Friendship Weight) using static and a dynamic social friendship weight. Also, our method considers four social relationships (Ownership Object Relationship, Co-Location Object Relationship, Social Object Relationship, Parental Object Relationship). We presents a music device scenario using our proposed method.

• Journal of the Korean Society of Costume
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• v.62 no.6
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• pp.98-111
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• 2012

The purpose of this study is to examine how the Hanbok is expressed in the ballet performances through the 'La, Chun-hyang', a classic Korean ballet. 'La, Chun-hyang', was performed from 2009 and 2010, but there were some differences in choreography by the director's intention. According to these changes, the methods of expression of ballet objects were changed as well. Therefore, totally different personalities were shown despite the fact that theses were same performances. Every costume objects in dance performances like the ballet can be used to express the story and the characters. Moreover, the object designs of Hanbok portray creativity and originality that simultaneously refers to history. In order for stage costume objects to popularize, the making method and process have to be developed like the objects of the Hanbok that signified historicity.

• 제어로봇시스템학회:학술대회논문집
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• 1998.10a
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• pp.221-225
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• 1998

This paper is to present a method for recognizing an image of a tracking object by processing the image from a camera, whose attitude is controlled in inertial space with inertial co-ordinate system. In order to recognize an object, a pseudo-random M-array is attached on the object and it is observed by the camera which is controlled on inertial coordinate basis by inertial stabilization unit. When the attitude of the camera is changed, the observed image of M-array is transformed by use of affine transformation to the image in inertial coordinate system. Taking the cross-correlation function between the affine-transformed image and the original image, we can recognize the object. As parameters of the attitude of the camera, we used the azimuth angle of camera, which is de-fected by gyroscope of an inertial sensor, and elevation an91e of camera which is calculated from the gravitational acceleration detected by servo accelerometer.