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Pedestrians and Vehicles Recognition Based on Image Recognition and Laser Distance Detection
Sheng-Fuu Lin,Chung-Han Lee 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
Nowadays, most vehicles are equipped with the display device and dashboard camera. The former provides drivers with a variety of road information such as the reverse image and satellite navigation, the latter ensures the interests of the driver when the accidents happened. A laser range finder and a webcam are used in the proposed system. This system can provide drivers with driving safety information on the display device. A laser range finder which cuts up objects around the car through the breakpoint detection is involved with the distance and azimuth angle information of the surrounding environment. Also, Haar detection is used to extract the related features of the pedestrians and vehicles for image recognition system. It will be more accurate to recognize the pedestrians and vehicles on the road, if both image recognition system and information of laser distance are combined together. The proposed system can accurately recognize the pedestrians and vehicles according to the experimental results.
Sheng-Fuu Lin,Jau-Chi Ke,Hsin-Yi Liu,Jiao-Rou Liao 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10
In this paper, a new method for three-dimensional measurement with two horizontally-aligned omni-directional cameras is proposed. Some omni-camera stereo vision systems calculate three-dimensional information which always considers either azimuth angles or elevation angles causing inaccuracy easily. The proposed method takes into account both azimuth angles and elevation angles in order to reduce errors. Besides, the range of interest (ROI) is 3 to 8 meters around cameras in the system. The proposed method has better performance than the vertically- or horizontally-aligned in the 3D measurement.
A Method for Identifying Tubercle Bacilli using Neural Networks
Lin, Sheng-Fuu,Chen, Hsien-Tse The Korean Society of Medical and Biological Engin 2009 의공학회지 Vol.30 No.3
Phlegm smear testing for acid-fast bacilli (AFB) requires careful examination of tubercle bacilli under a microscope to distinguish between positive and negative findings. The biggest weakness of this method is the visual limitations of the examiners. It is also time-consuming, and mistakes may easily occur. This paper proposes a method of identifying tubercle bacilli that uses a computer instead of a human. To address the challenges of AFB testing, this study designs and investigates image systems that can be used to identify tubercle bacilli. The proposed system uses an electronic microscope to capture digital images that are then processed through feature extraction, image segmentation, image recognition, and neural networks to analyze tubercle bacilli. The proposed system can detect the amount of tubercle bacilli and find their locations. This paper analyzes 184 tubercle bacilli images. Fifty images are used to train the artificial neural network, and the rest are used for testing. The proposed system has a 95.6% successful identification rate, and only takes 0.8 seconds to identify an image.
Tung-Sheng Chen,Show-Yih Liou,Hsi-Chin Wu,Fuu-Jen Tsai,Chang-Hai Tsai,Chih-Yang Huang,Yen-Lin Chang 한국식품영양과학회 2011 Journal of medicinal food Vol.14 No.7
Uremic patients with diabetes suffer from high levels of oxidative stress due to regular hemodialysis therapy (neutrophil activation induced by hemo-incompatibility between the hemodialyser and blood) and complications associated with diabetes. Several plasma biomarkers were screened in 13 uremic diabetic patients after receiving the mixture of (–)-epigallocatechin gallate (EGCG), a major component of green tea extract, and Amla extract (AE), from Emblica officinalis, the Indian gooseberry, for 3 months. We found that oral administration of a 1:1 mixture of EGCG and AE for 3 months significantly improved antioxidant defense as well as diabetic and atherogenic indices in uremic patients with diabetes. Furthermore, no significant changes in hepatic function, renal function, or inflammatory responses were observed. These results suggest that a 1:1 combination of EGCG and AE is a safe and effective treatment for uremic patients with diabetes.
Association of Interleukin-10 A-592C Polymorphism in Taiwanese Children with Kawasaki Disease
Kai-Chung Hsueh,Ying-Ju Lin,Jeng-Sheng Chang,Lei Wan,Yu-Hsin Tsai,Chang-Hai Tsai,Chih-Ping Chen,Fuu-Jen Tsai 대한의학회 2009 Journal of Korean medical science Vol.24 No.3
Elevated serum levels of interleukin-10 (IL-10) have been reported in patients with Kawasaki disease (KD). IL-10 reduces the inflammatory actions of macrophages and T cells and it may play a significant role in the regulation of inflammatory vascular damage associated with systemic vasculitis. The aim of this study was to examine whether -592 IL-10 promoter polymorphism is a susceptibility or severity marker of KD in Chinese patients in Taiwan. The study included 105 KD patients and 100 normal controls. Genotype and allelic frequencies for the IL-10 gene polymorphism in both groups were compared. There were no significant between-group differences in the genotype distribution of IL-10 A-592C gene polymorphism (P=0.08). However, the frequency of the -592*A allele was significantly increased in the patients with KD compared with controls (71.9% vs. 61.0%, P=0.019). The odds ratio for developing KD in individuals with IL-10 -592*A allele was 1.64 (95% confidence interval, 1.06-2.52) compared to individuals with the IL-10-592*C allele. No significant difference was observed in the genotype and allelic frequencies for the IL-10 A-592C polymorphism between patients with and without coronary artery lesions. The IL-10-592*A allele may be involved in the development of KD in Taiwanese children.