Adaptive Interval Fuzzy Modeling from Stream Data and Application in Cryptocurrencies Forecasting

2021 ◽  
pp. 69-81
Author(s):  
Leandro Maciel ◽  
Rosangela Ballini ◽  
Fernando Gomide
Keyword(s):  
Fuzzy Modeling ◽  
Stream Data

Accurate-interpretable based fuzzy modeling of a DC motor

2007 ◽  
Author(s):  
G.I. Sainz Palmero ◽  
L. A. Campillo Quijano ◽  
M.J. Fuente
Keyword(s):  
Fuzzy Modeling ◽  
Dc Motor

Data Mining and Systems Theory Based Fuzzy Modeling and Compensation for Friction

2010 ◽  
Vol 36 (3) ◽  
pp. 412-420 ◽  
Author(s):  
Yong-Fu WANG ◽  
Dian-Hui WANG ◽  
Tian-You CHAI
Keyword(s):  
Data Mining ◽  
Systems Theory ◽  
Fuzzy Modeling

Fuzzy Modeling of Multi-Degree-of-Freedom Power Spectral Density Systems

2009 ◽  
Vol 2 (1) ◽  
pp. 40-47
Author(s):  
Montasser Tahat ◽  
Hussien Al-Wedyan ◽  
Kudret Demirli ◽  
Saad Mutasher
Keyword(s):  
Spectral Density ◽  
Power Spectral Density ◽  
Fuzzy Modeling ◽  
Degree Of Freedom ◽  
Power Spectral

scholarly journals PRODUCTIVE RESPONSES FROM BROILER CHICKENS RAISED IN DIFFERENT COMMERCIAL PRODUCTION SYSTEMS - PART I: FUZZY MODELING

2019 ◽  
Vol 39 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Dian Lourençoni ◽  
Tadayuki Yanagi Junior ◽  
Paulo G. de Abreu ◽  
Alessandro T. Campos ◽  
Silvia de N. M. Yanagi
Keyword(s):  
Broiler Chickens ◽  
Production Systems ◽  
Fuzzy Modeling ◽  
Commercial Production

Fuzzy Modeling to Simulate Surface Roughness in CNC Turning of AISI 1045 Steel

2011 ◽  
Vol 486 ◽  
pp. 262-265
Author(s):  
Amit Kohli ◽  
Mudit Sood ◽  
Anhad Singh Chawla
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Process Parameters ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Cnc Machine ◽  
Model Based ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel

The objective of the present work is to simulate surface roughness in Computer Numerical Controlled (CNC) machine by Fuzzy Modeling of AISI 1045 Steel. To develop the fuzzy model; cutting depth, feed rate and speed are taken as input process parameters. The predicted results are compared with reliable set of experimental data for the validation of fuzzy model. Based upon reliable set of experimental data by Response Surface Methodology twenty fuzzy controlled rules using triangular membership function are constructed. By intelligent model based design and control of CNC process parameters, we can enhance the product quality, decrease the product cost and maintain the competitive position of steel.

Handling Errors in eHealth Sensors using Interval Mapping and Fuzzy Modeling

2021 ◽  
pp. 1-1
Author(s):  
Atrayee Gupta ◽  
Ankita Nag ◽  
Nandini Mukherjee
Keyword(s):  
Fuzzy Modeling ◽  
Interval Mapping

scholarly journals s2p: Provenance Research for Stream Processing System

2021 ◽  
Vol 11 (12) ◽  
pp. 5523
Author(s):  
Qian Ye ◽  
Minyan Lu
Keyword(s):  
Data Storage ◽  
Stream Processing ◽  
Processing System ◽  
Coarse Grained ◽  
Stream Data ◽  
Related Data ◽  
Dsp System ◽  
Provenance Research ◽  
Dsp Systems ◽  
Abnormal Results

The main purpose of our provenance research for DSP (distributed stream processing) systems is to analyze abnormal results. Provenance for these systems is not nontrivial because of the ephemerality of stream data and instant data processing mode in modern DSP systems. Challenges include but are not limited to an optimization solution for avoiding excessive runtime overhead, reducing provenance-related data storage, and providing it in an easy-to-use fashion. Without any prior knowledge about which kinds of data may finally lead to the abnormal, we have to track all transformations in detail, which potentially causes hard system burden. This paper proposes s2p (Stream Process Provenance), which mainly consists of online provenance and offline provenance, to provide fine- and coarse-grained provenance in different precision. We base our design of s2p on the fact that, for a mature online DSP system, the abnormal results are rare, and the results that require a detailed analysis are even rarer. We also consider state transition in our provenance explanation. We implement s2p on Apache Flink named as s2p-flink and conduct three experiments to evaluate its scalability, efficiency, and overhead from end-to-end cost, throughput, and space overhead. Our evaluation shows that s2p-flink incurs a 13% to 32% cost overhead, 11% to 24% decline in throughput, and few additional space costs in the online provenance phase. Experiments also demonstrates the s2p-flink can scale well. A case study is presented to demonstrate the feasibility of the whole s2p solution.

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