Bi-Hadoop: Extending Hadoop to Improve Support for Binary-Input Applications

2013 ◽  
Author(s):  
Xiao Yu ◽  
Bo Hong
Keyword(s):  
Binary Input

DESIGN OF A VLSI HAMMING NEURAL NETWORK FOR ARRHYTHMIA CLASSIFICATION

2009 ◽  
Vol 18 (04) ◽  
pp. 825-839 ◽  
Author(s):  
BEHZAD GHANAVTI ◽  
GHOLAMREZA SHOMALNASAB
Keyword(s):  
Neural Network ◽  
Cardiac Arrhythmia ◽  
Classification System ◽  
Cmos Technology ◽  
Input Pattern ◽  
Implantable Cardioverter Defibrillators ◽  
Binary Input ◽  
Cardioverter Defibrillators

The implantable cardioverter defibrillators (ICDs) detect and treat dangerous cardiac arrhythmia. This paper describes a VLSI neural network chip to be implemented using 0.35 μ CMOS technology which acts as an intercardia tachycardia classification system. The Hamming network used to classify non binary input pattern and also reduce impact of noise, drift and offset inherent in analog application. Simulation result using HSPICE and level 49 parameters (BSIM3V3) that verify the functionality of circuit are presented.

scholarly journals Minimal Structural ART Neural Network and Fault Diagnosis Application of Gas Turbine

2016 ◽  
Vol 10 (1) ◽  
pp. 13-22
Author(s):  
Qingyang Xu
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Gas Turbine ◽  
Cognitive Process ◽  
Simple Structure ◽  
High Efficiency ◽  
Complex Structures ◽  
Resonance Theory ◽  
Adaptive Resonance ◽  
Binary Input

Adaptive Resonance Theory (ART) model is a special neural network based on unsupervised learning which simulates the cognitive process of human. However, ART1 can be only used for binary input, and ART2 can be used for binary and analog vectors which have complex structures and complicated calculations. In order to improve the real-time performance of the network, a minimal structural ART is proposed which combines the merits of the two models by subsuming the bottom-up and top-down weight. The vector similarity test is used instead of vigilance test. Therefore, this algorithm has a simple structure like ART1 and good performance as ART2 which can be used for both binary and analog vector classification, and it has a high efficiency. Finally, a gas turbine fault diagnosis experiment exhibits the validity of the new network.

Cooperative Partial Message Relaying Based on Distributed Polar Codes for the Two-Relay Network

2013 ◽  
Vol 303-306 ◽  
pp. 1974-1983
Author(s):  
Bin Duo ◽  
Zhen Yong Wang ◽  
Xue Mai Gu
Keyword(s):  
Design Problem ◽  
Error Probability ◽  
Relay Network ◽  
Code Design ◽  
Polar Codes ◽  
Practical Consideration ◽  
Decode And Forward ◽  
Nested Structure ◽  
Binary Input ◽  
Source Message

A cooperative partial message relaying (CPMR) scheme based on distributed polar codes (DPC) is proposed to achieve the maximal decode-and-forward (DF) rate of the stochastically degraded symmetric binary-input two-relay network with orthogonal receiver components (TRN-ORCs). In the proposed scheme, the code design problem of the degraded TRN-ORCs is transformed into a problem of polar codes with CPMR protocol. According to the nested structure of polar codes, the messages transmitted by the source and the first relay are recovered successfully at the two relays, respectively, and then the two relays yield correct partial messages for transmission to solve the uncertainty of the source message at the destination. With the help of the CPMR protocol, the destination should be able to reconstruct the source message correctly. In addition to the practical consideration of the construction of the CPMR protocol based on DPC, we also derived that the block error probability of the proposed scheme can be upper bounded by O(2-Nβ) for any constant β (0 < β < ½), and sufficiently large block length N.

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