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The Muskingum Flood Routing Model using a Neuro-Fuzzy Approach
Hone-Jay Chu 대한토목학회 2009 KSCE JOURNAL OF CIVIL ENGINEERING Vol.13 No.5
The study presents the combined application of Fuzzy Inference System (FIS) and Muskingum model in flood routing. The rules of FIS are incorporated with the Muskingum formula and the model is called the Muskingum FIS model in the study. The proposed model estimates the outflow by applying a Network-based Fuzzy Inference System (ANFIS), which is a FIS implemented in the adaptive network framework. Simulation results indicate that the proposed scheme is an advisable approach for the flood routing. Case study is presented to demonstrate that the FIS is an alternative in application of the Muskingum model. The study presents the combined application of Fuzzy Inference System (FIS) and Muskingum model in flood routing. The rules of FIS are incorporated with the Muskingum formula and the model is called the Muskingum FIS model in the study. The proposed model estimates the outflow by applying a Network-based Fuzzy Inference System (ANFIS), which is a FIS implemented in the adaptive network framework. Simulation results indicate that the proposed scheme is an advisable approach for the flood routing. Case study is presented to demonstrate that the FIS is an alternative in application of the Muskingum model.
청각장애인을 위한 무선전송 헬스케어시스템 개발에 관한 연구
이충헌(Lee, Chung-Hone),권장우(Kwon, Jang-Woo),홍준의(Hong, Jun-Eui),이동훈(Lee, Dong-Hoon),강성철(Kang, Sung-Chul) 한국산학기술학회 2009 한국산학기술학회 학술대회 Vol.- No.-
본 논문에서는 청각장애인들이 가정내에서 발생되는 소리 및 방범 등 비상상황이 발생하였을 때 상황을 다양한 센서로 감지한 후 청각장애인들에게 발생된 상황을 통보하여 청각장애로 인한 불편함을 돕는 가정용 헬스케어시스템을 구현하고자 하였다. 가정에서 발생된 신호를 센서모듈과 연동한 후 감지된 신호를 무선으로 전송하고자 지그비 통신모듈을 사용하였고 각 센서 모듈로부터 받은 데이터 처리는 PIC 16F687 마이크로프로세서를 이용하여 처리하였다. 청각장애자에게 발생된 각각의 상황을 전달하기 위해 각각의 감지된 센서마다 고유한 진동 패턴을 설정하여 진동의 느낌을 통해 청각장애인은 발생된 상황을 감지하도록 구성하였다.
Cone beam형 전산화단층영상을 이용한 영구치 치근과 근판의 형태 평가
홍종현,김규태,최용석,황의환 대한구강악안면방사선학회 2007 Imaging Science in Dentistry Vol.37 No.3
Purpose : To estimate the shape of root and pulp canal using a dental cone beam computed tomography (CBCT) and to evaluate the accuracy of imaging reformation. Materials and Methods : CBCT images were obtained with incisors, premolars, and molars as the destination by using PSR 9000N™ Dental CT system(Asahi Roentgen Ind. Co., Ltd, Kyoto, Japan) and i-CAT (Imaging Sciences International, Inc, USA) cone beam CT unit that have different kind of detector and field of view, and compared these with the shape and the size of actual root and root canal. Results : When the measuring value of cone beam computed tomography concerning to each root's bucco-lingual diameter and mesio-distal diameter was compared with the value of the actual root, it reveals an error range -0.49 ∼+0.63mm at PSR900N and -0.97 ∼+1.14mm at i-CAT (P>0.05). It was possible to identify and measure PSR 9000N™ Dental CT system to the limit 0.484±0.06mm (P>0.05) and i-CAT CBCT to the limit 0.86±0.09mm (P< 0.05) on estimating the size and the shape of root canal. Two kinds of CBCT images revealed the useful reproducibility to estimate the shape of root, but there was the difference to estimate the shape of root according to apparatus. The reproducibility of root shape in the image of three-dimensions at PSR 900N is low such as 0.65mm in a case of minute root canal. Conclusions : CBCT images revealed higher accuracy of the imaging reformation for root and pulp and clinically CBCT is a useful diagnostic tool for the assessment of root and canal. However, there are different qualities of imaging reformation according to CBCT apparatus and limitation of reproducibility for minute root canals.
of Midcourse Guidance Laws via a Combination of Fuzzy and SMC Approaches
Yew-Wen Liang,Chun-Hone Chen,Der-Cherng Liaw,Shih-Tse Chang,Sheng-Dong Xu 제어·로봇·시스템학회 2010 International Journal of Control, Automation, and Vol.8 No.2
Issues regarding the design of midcourse guidance laws for antimissiles are addressed. The antimissile is expected to be guided to a place with a desired direction, where a ballistic missile is predicted to pass in the reverse direction, so that the target can be easily found and locked for terminal interception. The predicted location and direction of a ballistic missile may vary with time, due to information update using a trajectory prediction algorithm. To fulfill the guidance performance, the guidance laws are designed by combining the Takagi-Sugeno (T-S) fuzzy approach and the Sliding Mode Control (SMC) technique. Under the designed guidance law, it is shown that the antimissile is able to be efficiently guided to a specified location and direction, even when the existence of uncertainties and disturbances.
A Low-Power Edge Detection Image Sensor Based on Parallel Digital Pulse Computation
Changhyuk Lee,Wei Chao,Sunwoo Lee,Hone, James,Molnar, Alyosha,Sang Hoon Hong IEEE 2015 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS PART 2 E Vol.62 No.11
<P>An all-digital low-power CMOS edge detection image sensor array is presented. Each pixel contains a voltage-controlled ring oscillator to achieve low-power and cost-efficient digital-only edge detection. While conventional edge detection methods require high computing power and large chip area to process intensity maps, this work implements an all-digital parallel processing algorithm that detects differences between neighboring pixel pairs on chip, hence reducing the aforementioned power and cost overheads. In particular, a simple column-shared frequency comparator enables low-power operation by eliminating arithmetic computations with large memory requirement. Such a simple edge detection algorithm allows the processor area to be less than 16% of the entire image sensor, therefore maximizing the proportion of active optical area. The prototype image sensor presented in this work is fabricated using a four-metal 180-nm CMOS image sensor process and contains 105 × 92 pixels. An individual pixel size is 8 × 8 μm<SUP>2</SUP> with a fill factor of 11.69%, while the total chip area is 1 × 1.3 mm<SUP>2</SUP>. The image sensor exhibits a frame rate of 30 frames/s and a power consumption of 8 mW, which is 27.7 nW/pixel/frame at VDD of 1.6 V.</P>