• The Transactions of the Korean Institute of Electrical Engineers
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• v.39 no.12
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• pp.1253-1260
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• 1990

The traditional speed and pole position sensors, which are inevitable to drive the permanent magnet synchronous motors, are removed by the parameter identification using model reference adaptive systems. Also, the current detecting method is proposed on the synchronously rotating axis without the position information, and this enables the implementation of the proposed algorithm. The proposed methods have been confirmed both by digital simulation and experiments.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.243-245
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• 2006

A closed-loop sensorless stroke control system for a linear compressor has been designed. The motor parameters are identified as a function of the piston position and the motor current. They are stored in ROM table and used later for the accurate estimation of piston position. Also it was attempted to approximate the identified motor parameters to the 2nd-order surface functions. Some experimental results are given in order to show the feasibility of the proposed control schemes for linear compressors.

• The Journal of the Acoustical Society of Korea
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• v.21 no.8
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• pp.735-743
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• 2002

In this paper, we propose three new text-independent speaker identification methods. At first, to exclude the frames not having enough features of speaker's vocal from calculation of the maximum likelihood, we propose the FS(Frame Selection) method. This approach selects the important frames by evaluating the difference between the biggest likelihood and the second in each frame, and uses only the frames in calculating the score of likelihood. Our secondly proposed, called the Hybrid, is a combined version of the FS and WMR(Weighting Model Rank). This method determines the claimed speaker using exponential function weights, instead of likelihood itself, only on the selected frames obtained from the FS method. The last proposed, called MWMR (Modified WMR), considers both original likelihood itself and its relative position, when the claimed speaker is determined. It is different from the WMR that take into account only the relative position of likelihood. Through the experiments of the speaker identification, we show that the all the proposed have higher identification rates than the ML. In addition, the Hybrid and MWMR have higher identification rate about 2% and about 3% than WMR, respectively.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.2
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• pp.207-214
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• 2006

The purpose of this study was to examine the impacts of brand personality and employee personality on employee brand identification. The questionnaire developed for this study was distributed to 460 employees in F&B (food and beverage) departments and kitchen of 11 deluxe hotels in Seoul. A total of 398 questionnaires were used for analysis (86.5%) and the statistical analyses were completed using SPSS Win(12.0) for descriptive analysis, reliability analysis, t-test, and regression analysis. The results showed that employee brand identification was stronger at higher position, and also stronger among F&B department employees than among kitchen cooks. In addition, international hotels showed a higher level of employee brand identification than local hotels. Employee brand identification was also affected by hotel brand personality and employee personality. The dimension of 'sincerity' had the strongest effect on brand identification, followed by the dimensions of 'excitement' and 'sophistication'. Especially, when the hotel brand personality was lower than the employee personality at the dimension of 'sincerity', the level of employee brand identification was much lower. Overall, employee brand identification, which is a key factor for successful brand delivery to customer, could be enhanced through strong strategies to improve the brand personality dimensions and enhance employee development.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.280-285
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• 2008

유비퀴터스 공간컴퓨팅 환경이란 사용자가 언제 어디서든 원하는 지리정보를 쉽게 사용할 수 있는 융복합 IT환경을 말한다. 이 유비퀴터스 공간컴퓨팅 환경에서 객체의 위치는 이질적 공간에서 수시로 변하는 특성을 가진다. 공간의 이질성과 이동성에 대한 유지관리는 지리정보 서비스공급자들에게 많은 부담으로 존재한다. 이에 대한 해결을 위해, 본 연구는 물리적 위치변화에 독립적인 논리적 위치참조체계(이후, 'u-Position' 체계)를 제안한다. u-Position 체계는 IRI형태의 명명 체계와 이를 해석하기 위한 인터페이스들로 구성된다. 인터넷 환경에서 u-Position의 서비스 구조를 보여준 후, 사용 예를 기술하겠다. u-Position은 feature가 여러 공간에서 다른 좌표체계에 의해 다중 표현 되더라도, 이 feature를 인식하는 유일 식별자로서 변하지 않는다. 그러므로 공간의 이질성과 위치 이동성이 존재하는 유비퀴터스 공간컴퓨팅 환경이라 하더라도 객체의 위치투명성(location transparency)과 공간의 연결성(seamlessness)을 보장해 줄 수 있다는 점에서 의의가 있다.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2737-2742
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• 2003

Kinematic calibration enhances absolute accuracy by compensating for the fabrication tolerances and installation errors. Effectiveness of calibration procedures depends greatly on the measurements performed. While the Cartesian postures are measured completely, all of the geometric parameters can be identified to their true values. With partial pose measurements, however, few geometric parameters may not be identifiable and effectiveness of the calibration results may vary significantly within the workspace. QR decomposition of the identification Jacobian matrix can reveal the non-identifiable parameters. Selecting postures for measurement is also an important issue for efficient calibration procedure. Typically, the condition number of the identification Jacobian is minimized to find optimum postures. This paper investigates identifiable parameters and optimum postures for four different calibration procedures - measuring postures completely with inverse kinematic residuals, measuring postures completely with forward kinematics residuals, measuring only the three position components, and restraining the mobility of the end-effector using a constraint link. The study is performed for a six degree-of-freedom fully parallel HexaSlide type paralle manipulator, HSM. Results verify that all parameters are identifiable with complete posture measurements. For the case of position measurements, one and for the case of constraint link, three parameters were found non-identifiable. Optimal postures showed the same trend of orienting themselves on the boundaries of the search space.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.4
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• pp.64-71
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• 2008

SAW (Surface Acoustic Waves) ID (identification) tags have been designed and implemented for RFID (Radio frequency IDentification) systems. With SAW ID tag of pulse position encoding method, the data capacity increased 3 times compared with SAW ID tag of amplitude on/off method. Two different kinds of SAW ID tag receiver systems, heterodyne and homodyne receiver systems, were made. The direct conversion receiver showed better isolation property, 10 dB improvement than the heterodyne receiver to increase wireless interrogation distance.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.1
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• pp.83-92
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• 2000

Sound intensity method is well known as a visualization technique of sound field or sound propagation in noise control. Sound intensity or energy flux is a vector quantity which describes the amount and the direction of net flow of acoustic energy at a given position. Especially two dimensional sound intensity method is very useful in evaluating periodic characteristics and acoustic propagation mode of noise source. In this paper, we have studied the noise source Identification, acoustic sound field analysis, and characteristics of noise source of rotary compressor and scroll compressor for air conditioner using complex sound intensity method. Also we proposed a now method of time domain analysis which is used in evaluating of position of noise source in rotary and scroll compressor in this paper This paper presents the advantage, simplicity and economical efficiency of this method by analysing the characteristics of noise source with two dimensional complex sound intensity simultaneously.

• Journal of the Korea Computer Industry Society
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• v.5 no.8
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• pp.819-828
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• 2004

Recently, while research for the ubiquitous networking and ubiqutous computing is gone with activity, RFID(Radio Frequency IDentification) that recognize movement of things and take position advantage of RFID echnology in ubiquitous environment are required. In this paper, we propose and design a system that can taking customer's position in large size mart and analyzing customer's shopping movement to manage customer and merchandise of most suitable.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.427-429
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• 2005

This paper presents the use of Point Number Algorithm (PNA) for real-time image processing for position identification of mobile robot. PNA can get how many points in the image gotten from the robot vision and can calculate the distance between the robot and the wall by the number of the points. The algorithm can be applied to a robot vision system enable to identify where it is in the workspace. In the workspace, the walls are made up by white background with many black points on them evenly. The angle of the vision is set invariable. So the more black points in the vision, the longer the distance is from the robot to the wall. But when the robot does not face the wall directly, the number of the black points is different. When the robot faces the wall, the least number of the black points can be gotten. The simulation results are presented at the end of this paper.