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

Prediction of inter-residue contacts map based on genetic algorithm optimized radial basis function neural network and binary input encoding scheme

Journal of Computer-Aided Molecular Design ◽

10.1007/s10822-005-0578-7 ◽

2004 ◽

Vol 18 (12) ◽

pp. 797-810 ◽

Cited By ~ 23

Author(s):

Guang-Zheng Zhang ◽

De-Shuang Huang

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Radial Basis Function ◽

Basis Function ◽

Encoding Scheme ◽

Residue Contacts ◽

Radial Basis ◽

Binary Input

Design of LDPC codes for binary-input Gaussian interference channels

2014 IEEE/CIC International Conference on Communications in China (ICCC) ◽

10.1109/iccchina.2014.7008245 ◽

2014 ◽

Cited By ~ 1

Author(s):

Shancheng Zhao ◽

Xiao Ma ◽

Baoming Bai

Keyword(s):

Ldpc Codes ◽

Interference Channels ◽

Binary Input ◽

Gaussian Interference Channels

On the error-prone substructures for the binary-input ternary-output channel and its corresponding exhaustive search algorithm

2012 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2012.6363940 ◽

2012 ◽

Cited By ~ 1

Author(s):

Gyu Bum Kyung ◽

Chih-Chun Wang

Keyword(s):

Search Algorithm ◽

Exhaustive Search ◽

Output Channel ◽

Binary Input

On parameter design of binary-input-and-binary-output dynamic systems

Quality and Reliability Engineering International ◽

10.1002/qre.4680090603 ◽

1993 ◽

Vol 9 (6) ◽

pp. 471-476 ◽

Cited By ~ 2

Author(s):

Bong-Jin Yum ◽

Seong-Jun Kim

Keyword(s):

Dynamic Systems ◽

Parameter Design ◽

Binary Output ◽

Binary Input

DESIGN OF A VLSI HAMMING NEURAL NETWORK FOR ARRHYTHMIA CLASSIFICATION

Journal of Circuits System and Computers ◽

10.1142/s0218126609005381 ◽

2009 ◽

Vol 18 (04) ◽

pp. 825-839 ◽

Cited By ~ 1

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.

Block Turbo Code with Binary Input for Improving Quality of Service

Multiaccess, Mobility and Teletraffic for Wireless Communications, volume 6 ◽

10.1007/978-1-4757-5918-1_14 ◽

2002 ◽

pp. 195-204

Author(s):

Patrick Adde ◽

Ramesh Pyndiah ◽

Sylvie Kerouedan

Keyword(s):

Quality Of Service ◽

Turbo Code ◽

Binary Input ◽

Block Turbo Code

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

The Open Mechanical Engineering Journal ◽

10.2174/1874155x01610010013 ◽

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.

Linear modelling of multivariable systems with pseudo-random binary input signals

Automatica ◽

10.1016/0005-1098(68)90009-5 ◽

1968 ◽

Vol 4 (5-6) ◽

pp. 393-416 ◽

Cited By ~ 2

Author(s):

H.A. Barker ◽

D. Raeside

Keyword(s):

Multivariable Systems ◽

Input Signals ◽

Linear Modelling ◽

Binary Input

The Cramming, Softening and Integrating Learning Algorithm with Parametric ReLU Activation Function for Binary Input/Output Problems

2019 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2019.8852023 ◽

2019 ◽

Cited By ~ 1

Author(s):

Yu-Han Tsai ◽

Yu-Jie Jheng ◽

Rua-Huan Tsaih

Keyword(s):

Learning Algorithm ◽

Activation Function ◽

Input Output ◽

Binary Input

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.303-306.1974 ◽

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.