• Proceedings of the Korean Society for Bio-Environment Control Conference
• /
• 2002.11a
• /
• pp.298-305
• /
• 2002

우리나라의 시설농업을 고부가가치 산업으로 발전시키기 위해서는 우선 우수한 품종의 육성과 효율적인 재배관리기술의 개발이 이루어져야 하며, 그 다음으로는 노력비, 난방비 등의 절감을 위한 기계기술의 개발이 뒤따라야 한다. 시설재배 농민의 대부분이 고령화되고 있으며, 난방비가 생산비의 20-40%를 차지하고 있는 실정을 고려한다면 노동력과 난방비 절감기술의 개발은 동시에 이루어져야 할 과제라 할 수 있다. (중략)

• International conference on construction engineering and project management
• /
• 2005.10a
• /
• pp.491-496
• /
• 2005

In this paper, the authors explained the overview of a method for detecting location of worker for development of a monitoring system for project progress management using RFID technology. Data is the RSSI (Receive Signal Strength Indication) from RFID tag attached to the worker installing a rolling shutter, and was obtained from antennas and RFID readers set around the construction site. Neural network was done using RSSI collected and the area where worker is performing a task, and an estimation model of the working area was prepared. The network had a range of the percentage of correctly classified from 62% to 92%. The authors suggested the method to make estimate by using integrated networks prepared in respect of RFID readers, and showed the percentage of correctly classified of 84.3%. According to the result, the authors confirmed the possibility of the monitoring system with RFID technology, and mentioned the factors necessary to develop for further practical use.

• 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.

• Korean Journal of Applied Biomechanics
• /
• v.13 no.2
• /
• pp.175-183
• /
• 2003

The purpose of this study was to analyze the kinetic energy of putter head and ball movements during the process of impact. Highly skilled 5 golfers(less than 1 handicap) participated in this study and the target distance was 3 m. Movements of ball and putter head were recorded with 2 VHS video cameras(60 Hz, 1/500 s shutter speed). Small control object($18.5{\times}18.5{\times}78.5\;cm$) was used in this sdtuldy. Analyzing the process of impact, putter was digitized before 0.0835 s and after 0.0835 s of impact. Ball was digitized 0.1336 s after impact. The results showed that the maximum speed was appeared at Impact and prolonged for a while. Contact point of the club head was within 0.7 cm to the z axis. After contacting the club head, the ball was moved above the ground level(slide) and returned to the ground with sliding and rolling. After contacting the ground, the speed of ball was relied on the surface of the ground. During impact, 70% of kinetic energy of club head has been transferred to the ball.

• International journal of advanced smart convergence
• /
• v.4 no.2
• /
• pp.94-102
• /
• 2015

Optical camera communication (OCC) is an extension of Visible Light Communication. Different from traditional visible light communication, optical camera communications is an almost no additional cost technology by taking the advantage of build-in camera in devices. It was became a candidate for communication protocol for IoT. Camera module can be easy attached to IoT device, because it is small and flexible. Furthermore almost smartphone equip one or two camera for both back and font side with high quality and resolution. It can be utilized for receiving the data from LED or positioning. Actually, OCC combines illumination and communication. It can supply communication for special areas or environment where do not allow Radio frequency such as hospital, airplane etc. There are many concept and experiment be proposed. In this paper we proposed utilizing Android smart-phone camera for receiver and introduce new approach in modulation scheme for LED at transmitter. It also show how Manchester coding can be used encode bits while at the same time being successfully decoded by Android smart-phone camera. We introduce new data frame format for easy decoded and can be achieve high bit rate. This format can be easy to adapt to performance limit of Android operator or embedded system.