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Analytical calculations of electrical machines are expeditious tools for the design and the analysis of their performance. In contrast with conventional electrical machines such as a brushless DC motor, induction and synchronous machines, a magnetic geared motor (MGM) is operated using space harmonics of magnetic flux in the air gap due to the magnetomotive force of the permanent magnet on the high speed rotor and stator, and the air gap permeance of the low speed rotor and the stator teeth. This paper describes the operational principle of the MGM and the comparison of the air gap magnetic flux density between an analytical calculation and the finite element analysis

This Paper aims to analyze the characteristics of a surface permanent magnet vernier motor (SPMVM) according to its design parameters such as a magnet thickness on its rotor and stator slot opening ratio based on its operational principle. The vernier motor is a kind of electric motors with a magnetic gear effect and has high torque characteristics at low speeds without mechanical gears. The vernier motor also has various advantages such as low noises and maintenance-free operations. The SPMVM is operated using space harmonics of the magnetic flux density distribution in the air gap which is created by the magnetomotive force (MMF) due to the permanent magnet and air gap permeance. This paper presents an analytical calculation method of the vernier motors, and their results are compared with those of 2-D finite elements method (FEM). Firstly, the operational principle of the SPMVM and the magnetic flux density in the air gap are described in detail. Secondly, the harmonics of the magnetic flux density in the air gap are analyzed according to the design parameters. Finally, the best design parameters are determined, and the 2-D FEM results verify the analytical calculation method.

This paper deals with a vision-based trajectory tracking control system for a quadrotor-type UAV for entertainment purpose in indoor environment. In contrast to outdoor flights that emphasize the autonomy to complete special missions such as aerial photographs and reconnaissance, indoor flights for entertainment require trajectory following and hovering skills especially in precision and stability of performance. This paper proposes a trajectory tracking control system consisting of a motion generation module, a pose estimation module, and a trajectory tracking module. The motion generation module generates a sequence of motions that are specified by 3-D locations at each sampling time. In the pose estimation module, 3-D position and orientation information of a quadrotor is estimated by recognizing a circular ring pattern installed on the vehicle. The trajectory tracking module controls the 3-D position of a quadrotor in real time using the information from the motion generation module and pose estimation module. The proposed system is tested through several experiments in view of one-point, multi-points, and trajectory tracking control. 논문 14-39C-01-06 한국통신학회논문지(J-KICS) '14-01 Vol.39C No.01 http://dx.doi.org/10.7840/kics.2014.39C.1.47 47 ※ 이 논문은 2011년도 정부(교육과학기술부)의 재원으로 한국연구재단의 기초연구사업 지원을 받아 수행된 것임(NRF-2011-0024979) First Author : 일본 오사카대학 대학원 공학연구과 지능·기능 창성공학부 박사과정, mni3004@gmail.com, 정회원 ° Corresponding Author : 광운대학교 로봇학부 부교수, akaii@kw.ac.kr, 정회원 * 광운대학교 예술로봇연구소 연구원, park1263@naver.com, heonhuikim@gmail.com 논문번호:KICS2013-11-489, 접수일자:2013년 11월 8일, 심사일자 : 2013년 12월 14일, 최종논문접수일자 : 2014년 1월 9일 한국통신학회논문지(J-KICS) '14-01 Vol.39C No.01

This paper proposes a robust hand segmentation method using view-invariant characteristic of a wrist-mounted camera, and deals with a hand shape recognition system based on segmented hand information. We actively utilize the advantage of the proposed camera device that provides view-invariant images physically, and segment hand region using a Bayesian rule based on adaptive histograms. We construct HSV histograms from RGB histograms, and update HSV histograms using hand region information from a current image. We also propose a user adaptation method by which hand models gradually approach user-dependent models from user-independent models as the user uses the system. The proposed method was evaluated using 16 Korean manual alphabet, and we obtained increases of 27.91% in recognition success rate.

This paper presents a hand shape recognition method and its application to Korean word search interface for wearable computers. We first describe a hand shape recognition method composed of hand region segmentation and recognition. To enforce the recognition performance, a user adaptation process is also proposed in algorithmic details. A Korean word search system is then proposed, which is based on the recognition of Korean manual alphabets using a wrist-mounted camera device. The effectiveness of the proposed method is verified through several experiments for evaluating recognition performance.