Effect of excitation parameters on motion characteristics and classification performance of rigid-flexible coupled elastic screen surface for moist coal

By Lagrange equation, the dynamic equation of vibrating screen based on double compound pendulum with single motor driving was established. With simulation method, dynamic simulating model was built, and influences of pendulum installing position, stiffness of torsion damping spring of pendulum rod, initial installing angle and length of pendulum rod on motion characteristics of vibrating screen was discussed. Research results showed that, by choosing suitable stiffness of torsion damping spring or length of pendulum rod, this kind of vibrating screen may achieve the approximate linear trajectory, or normal elliptic trajectory of deck; when the angle between the rotating joint of pendulum rod and screen surface equals to initial installing angle of pendulum rod, the vibration of deck is most close to translational motion..

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Dynamic analysis of elastic screen surface with multiple attached substructures and experimental validation

Journal of Central South University ◽

10.1007/s11771-012-1358-x ◽

2012 ◽

Vol 19 (10) ◽

pp. 2910-2917 ◽

Cited By ~ 14

Author(s):

Hong Wang ◽

Chu-sheng Liu ◽

Li-ping Peng ◽

Xiao-wei Jiang ◽

Lian-quan Ji

Keyword(s):

Dynamic Analysis ◽

Experimental Validation ◽

Elastic Screen Surface ◽

Screen Surface

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The Sound of Enemies and Friends in the Neighborhood

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000113 ◽

2011 ◽

Vol 58 (6) ◽

pp. 454-463 ◽

Cited By ~ 1

Author(s):

Diane Pecher ◽

Inge Boot ◽

Saskia van Dantzig ◽

Carol J. Madden ◽

David E. Huber ◽

...

Keyword(s):

Word Recognition ◽

Visual Word Recognition ◽

Neighborhood Effects ◽

Classification Performance ◽

Visual Word ◽

Orthographic Neighborhood ◽

Semantic Classification ◽

Semantic Class ◽

Orthographic Neighbors ◽

Target Words

Previous studies (e.g., Pecher, Zeelenberg, & Wagenmakers, 2005) found that semantic classification performance is better for target words with orthographic neighbors that are mostly from the same semantic class (e.g., living) compared to target words with orthographic neighbors that are mostly from the opposite semantic class (e.g., nonliving). In the present study we investigated the contribution of phonology to orthographic neighborhood effects by comparing effects of phonologically congruent orthographic neighbors (book-hook) to phonologically incongruent orthographic neighbors (sand-wand). The prior presentation of a semantically congruent word produced larger effects on subsequent animacy decisions when the previously presented word was a phonologically congruent neighbor than when it was a phonologically incongruent neighbor. In a second experiment, performance differences between target words with versus without semantically congruent orthographic neighbors were larger if the orthographic neighbors were also phonologically congruent. These results support models of visual word recognition that assume an important role for phonology in cascaded access to meaning.

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Automated Characterization of Atheromatous Plaque in Intravascular Ultrasound Images Using Neuro Fuzzy Classifier

International Journal of Electronics and Telecommunications ◽

10.2478/v10177-012-0058-7 ◽

2012 ◽

Vol 58 (4) ◽

pp. 425-431 ◽

Cited By ~ 3

Author(s):

D. Selvathi ◽

N. Emimal ◽

Henry Selvaraj

Keyword(s):

Intravascular Ultrasound ◽

Human Error ◽

Human Life ◽

Classification Performance ◽

Atheromatous Plaque ◽

Ultrasound Images ◽

Fuzzy Classifier ◽

Neuro Fuzzy ◽

Calcified Tissues

Abstract The medical imaging field has grown significantly in recent years and demands high accuracy since it deals with human life. The idea is to reduce human error as much as possible by assisting physicians and radiologists with some automatic techniques. The use of artificial intelligent techniques has shown great potential in this field. Hence, in this paper the neuro fuzzy classifier is applied for the automated characterization of atheromatous plaque to identify the fibrotic, lipidic and calcified tissues in Intravascular Ultrasound images (IVUS) which is designed using sixteen inputs, corresponds to sixteen pixels of instantaneous scanning matrix, one output that tells whether the pixel under consideration is Fibrotic, Lipidic, Calcified or Normal pixel. The classification performance was evaluated in terms of sensitivity, specificity and accuracy and the results confirmed that the proposed system has potential in detecting the respective plaque with the average accuracy of 98.9%.

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