http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Fusing Multiple Inexpensive GPS Heading Data via Fuzzified Ad-Hoc Weighing
Vista IV, Felipe P.,Lee, Deok Jin,Chong, Kil To Trans Tech Publications, Ltd. 2015 Applied Mechanics and Materials Vol.776 No.-
<P>Applying the same principle behind the Ad-hoc weighing used in fusing data from two inexpensive GPS and an electronic compass (EC) brought up the problem of numerous conditions when trying to fuse data from three GPS devices. Fusing data from two GPS and one EC required at least thirty-two (32) conditions while using three GPS would require 182 conditions that would have entailed a complex set of programming codes. Fuzzy logic was explored as a possible candidate to replace the hard-coding of if-then-statements but still perform the ad-hoc algorithm as desired. The GPS Fix and HDOP (horizontal dilution of precision) values are utilized to derive the corresponding weight to be assigned to the individual GPS as well as the overall fused GPS data. Experimental tests using actual GPS data showed the effectivity of the proposed method.</P>
Vista IV, Felipe P.,Chong, Kil To Hindawi Limited 2019 Journal of sensors Vol.2019 No.-
<P>This paper describes the design and real-time implementation of a proposed algorithm for deriving an accurate heading system by fusing data from various inexpensive sensor devices that is comparable to more expensive maritime navigation systems. The proposed algorithm is a 3-Stage Classification N’ Weighing (CnW) Heading System with forward azimuth (FAz) and extended Kalman filter (EKF). Data from three Global Positioning System devices, an inertial measurement unit, and an electronic compass were fed into the algorithm that can be generally described as Classification N’ Weighing-Stage 1 → forward azimuth → Classification N’ Weighing-Stage 2 → extended Kalman filter → Classification N’ Weighing-Stage 3. The proposed algorithm is shown to be comparably accurate as an expensive marine navigation system, and it has less processing time compared to our previous work. The Qt-anywhere-based system developed on a Linux desktop was successfully downloaded onto an Ubuntu Linux-embedded board for real-time implementation. Important notes related to device naming problems when deploying the system on a Linux-embedded board are also given as reference for those interested to address it.</P>
Sea Current and Wind as Additional Factors in Computing the Fuzzy Ship Domain Minimum Safe Distance
Felipe P. Vista IV,Chang Goo Lee,Hak Tae Kim,Kil To Chong,Kim Young Chul 대한전자공학회 2010 ICEIC:International Conference on Electronics, Inf Vol.1 No.1
Collision alert system aboard ship usually determines if another vessel is inside its fixed minimum safe distance to alert the navigators. Utilizing the existing method of augmenting this fixed minimum safe distance with a minimum fuzzy safe distance is a great way to improve the safety factor. Incorporating the effects of water current and the wind as additional factors in addition to ship size, ship speed and sea state in computing the minimum fuzzy safe distance is proposed. Simulation results show that the proposed additional factors gave satisfactory results.
Assessing the Deformity of Cleft Lip Nose Based on Neural Network
Xi, Wang,Vista IV, Felipe,Kim, Deok-Won,Chong, Kil-To 한국정밀공학회 2010 International Journal of Precision Engineering and Vol.11 No.3
The physical appearance of the nostril is important in the objective assessment of a cleft-lip patient while an objective quantitative evaluation is necessary to improve the result of the surgical procedure. The use of Kendall's coefficient of concordance (W) to identify consistency between several raters is proposed in this paper. Linear regression method was then compared with the Neural Network method to find out which is better in determining the consistency of data. The feature factors were extracted from a digital image of the nostril taking into consideration symmetry as the basis. Statistical and Neural Network methods were utilized to process and analyze the deformity assessment data. Two groups of raters were chosen to evaluate the deformity of the cleft lip/cleft nose based on photos shown to them. The angles and distance were measured with respect to the symmetrical aspect and the elementary reference score and factors were obtained through statistical analysis. Linear regression equations describing the relationship between the selected factors and the elementary score were formulated in order to obtain a more reliable reference data. The target data was pre-processed to achieve a more consistent and stable performance. A Neural Network was used to predict the evaluation score and it performed better than the linear regression method under certain conditions. The proposed method can give an objective evaluation to help surgeons evaluate their performance after a surgical procedure and find out if there is a need for further procedures to be done with lesser computational requirement over other existing three-dimensional algorithms.
Marine Tracking System using AIS, GPS, and ENC
Felipe P. Vista IV(비스타네 필립),Beom Seok Park(박범석),Chang Goo Lee(이창구),Yeong Chul Kim(김영철),Kil To Chong(정길도) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.10
For a marine navigator, keeping track of one's location in a specific area especially while on the way, or under way, is very important. Knowing the details of the immediate surrounding area where one is currently located comes as a very close second. Keeping these two important factors in mind, we propose an IT-based system for the marine industry that would keep track of own-ship and other ships in the area while stationary or in the move while at the same time showing the information about the current area from an Electronic Navigation Chart (ENC).