A novel method for predicting RNA-interacting residues in proteins using a combination of feature-based and sequence template-based methods

In product design, a large proportion of three-dimensional (3D) computer-aided design (CAD) models can be reused to facilitate future product development due to their similarities in function and shape. This paper presents a novel method that incorporates modeling knowledge into CAD model similarity assessment to improve the effectiveness of reuse-oriented retrieval. First, knowledge extraction is performed on archived feature-based CAD models to construct feature dependency directed acyclic graph (FDAG). Second, based on the FDAG subgraph decomposition, two useful component partitioning approaches are developed to extract simplified essential shapes and meaningful subparts from CAD models. Third, the extracted shapes and their FDAG subgraphs are indexed. Finally, the indexed shapes that are similar to user-sketched queries are retrieved to reuse, and FDAG information of the retrieved shapes is provided as redesign suggestions. Experimental results suggest that the incorporation of modeling knowledge greatly facilitates CAD model retrieval and reuse. Algorithm evaluations also show the presented method outperforms other 3D retrieval methods.

Download Full-text

Weighted Feature Gaussian Kernel SVM for Emotion Recognition

Computational Intelligence and Neuroscience ◽

10.1155/2016/7696035 ◽

2016 ◽

Vol 2016 ◽

pp. 1-7 ◽

Cited By ~ 8

Author(s):

Wei Wei ◽

Qingxuan Jia

Keyword(s):

Facial Expression ◽

Emotion Recognition ◽

Kernel Function ◽

Recognition Rate ◽

Gaussian Kernel ◽

Support Vector ◽

The Past ◽

Gaussian Kernel Function ◽

Feature Based ◽

Novel Method

Emotion recognition with weighted feature based on facial expression is a challenging research topic and has attracted great attention in the past few years. This paper presents a novel method, utilizing subregion recognition rate to weight kernel function. First, we divide the facial expression image into some uniform subregions and calculate corresponding recognition rate and weight. Then, we get a weighted feature Gaussian kernel function and construct a classifier based on Support Vector Machine (SVM). At last, the experimental results suggest that the approach based on weighted feature Gaussian kernel function has good performance on the correct rate in emotion recognition. The experiments on the extended Cohn-Kanade (CK+) dataset show that our method has achieved encouraging recognition results compared to the state-of-the-art methods.

Download Full-text

Spectral Stability Feature Based Novel Method for Discriminating Speech and Laughter

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2007.00745 ◽

2011 ◽

Vol 30 (6) ◽

pp. 1359-1362 ◽

Cited By ~ 2

Author(s):

Yan-xiong Li ◽

Qian-hua He ◽

Nan Chen ◽

Zhao-hui Qi

Keyword(s):

Spectral Stability ◽

Feature Based ◽

Novel Method

Download Full-text

Image Background Removal by Contour Feature

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.926-930.3050 ◽

2014 ◽

Vol 926-930 ◽

pp. 3050-3053

Author(s):

Zhao Fei Li ◽

Jiang Qing Wang

Keyword(s):

Image Processing ◽

Background Noise ◽

Noise Removal ◽

Gray Level ◽

Removal Method ◽

Background Removal ◽

Contour Model ◽

Contour Feature ◽

Feature Based ◽

Novel Method

In the task of the image processing and analysis, the background noise removal is a important step. In the image background noise removal, there are many methods which is popular for the researchers. For example, the gray threshold methods are commonly taken to remove the noises which have large contrast to the interest objects. However, there are many noises with no variance with the interest objects in the gray level. For these noises, the gray level based noise removal method is totally futile, while the contour feature has its super performance for reducing this sort of noise. For the contour feature based image background removal method, the contour model is the key. This paper proposes a novel method for modeling the contour feature of the interest objects. With this method, a novel background noise which has the same gray level to the background noise is totally removed.

Download Full-text

A statistical feature based novel method to detect bleeding in wireless capsule endoscopy images

2014 International Conference on Informatics, Electronics & Vision (ICIEV) ◽

10.1109/iciev.2014.6850777 ◽

2014 ◽

Cited By ~ 19

Author(s):

Tonmoy Ghosh ◽

Syed Khairul Bashar ◽

Md. Samiul Alam ◽

Khan Wahid ◽

Shaikh Anowarul Fattah

Keyword(s):

Capsule Endoscopy ◽

Wireless Capsule Endoscopy ◽

Statistical Feature ◽

Feature Based ◽

Novel Method ◽

Wireless Capsule

Download Full-text

The removal and morphology of intact biofilms from implanted venous access devices

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100141470 ◽

1995 ◽

Vol 53 ◽

pp. 1020-1021

Author(s):

M.A. Gregory ◽

G.P. Hadley

Keyword(s):

Patient Selection ◽

Surgical Oncology ◽

Venous Access ◽

Common Procedure ◽

Indwelling Catheters ◽

Careful Patient ◽

Novel Method ◽

The Subject ◽

Vascular Catheters ◽

Venous Access Devices

The insertion of implanted venous access systems for children undergoing prolonged courses of chemotherapy has become a common procedure in pediatric surgical oncology. While not permanently implanted, the devices are expected to remain functional until cure of the primary disease is assured. Despite careful patient selection and standardised insertion and access techniques, some devices fail. The most commonly encountered problems are colonisation of the device with bacteria and catheter occlusion. Both of these difficulties relate to the development of a biofilm within the port and catheter. The morphology and evolution of biofilms in indwelling vascular catheters is the subject of ongoing investigation. To date, however, such investigations have been confined to the examination of fragments of biofilm scraped or sonicated from sections of catheter. This report describes a novel method for the extraction of intact biofilms from indwelling catheters.15 children with Wilm’s tumour and who had received venous implants were studied. Catheters were removed because of infection (n=6) or electively at the end of chemotherapy.

Download Full-text