An integrated hybrid approach to the design of high-performance intelligent controllers

2002 ◽  
Author(s):  
M. Chiaberge ◽  
G. Di Bene ◽  
S. Di Pascoli ◽  
B. Lazzerini ◽  
A. Maggiore ◽  
...  
Keyword(s):  
High Performance ◽  
Hybrid Approach ◽  
Intelligent Controllers

STIGMERGIC LANDMARK OPTIMIZATION

2012 ◽  
Vol 15 (08) ◽  
pp. 1150025 ◽  
Author(s):  
N. LEMMENS ◽  
K. TUYLS
Keyword(s):  
High Performance ◽  
Nest Site ◽  
Hybrid Approach ◽  
Nest Site Selection ◽  
The Third ◽  
Selection Behavior ◽  
Bee Foraging ◽  
Global Route ◽  
Foraging Task ◽  
Vector Strength

In this paper we present three Swarm Intelligence algorithms which we evaluate on the complex foraging task domain. Each of the algorithms draws inspiration from biologic bee foraging/nest-site selection behavior. The main focus will be on the third algorithm, namely STIGMERGIC LANDMARK FORAGING which is a novel hybrid approach. It combines the high performance of bee-inspired navigation with ant-inspired recruitment. More precisely, navigation is based on Path Integration which results in vectors indicating the distance and direction to a destination. Recruitment only occurs at key locations (i.e., landmarks) inside of the environment. Each landmark contains a collection of vectors with which visiting agents can find their way to a certain goal or to another landmark in an unknown environment. Each vector represents a local segment of a global route. In contrast to ant-inspired recruitment, no attracting or repelling pheromone is used to indicate where to go and how worthwhile a route is in comparison to other routes. Instead, each vector in a landmark has a certain strength indicating how worthwhile it is. In analogy to ant-inspired recruitment, vector strength can be reinforced by visiting agents. Moreover, vector strength decays over time. In the end, this results in optimal routes to destinations. STIGMERGIC LANDMARK FORAGING proves to be very efficient in terms of building and adapting solutions.

A Novel Hybrid Approach for Multi-Dimensional Data Anonymization for Apache Spark

2022 ◽  
Vol 25 (1) ◽  
pp. 1-25
Author(s):  
Sibghat Ullah Bazai ◽  
Julian Jang-Jaccard ◽  
Hooman Alavizadeh
Keyword(s):  
Critical Analysis ◽  
Data Privacy ◽  
High Performance ◽  
Distributed Processing ◽  
Hybrid Approach ◽  
Relative Size ◽  
Optimal Number ◽  
Data Anonymization ◽  
Fine Grained ◽  
Message Exchange

Multi-dimensional data anonymization approaches (e.g., Mondrian) ensure more fine-grained data privacy by providing a different anonymization strategy applied for each attribute. Many variations of multi-dimensional anonymization have been implemented on different distributed processing platforms (e.g., MapReduce, Spark) to take advantage of their scalability and parallelism supports. According to our critical analysis on overheads, either existing iteration-based or recursion-based approaches do not provide effective mechanisms for creating the optimal number of and relative size of resilient distributed datasets (RDDs), thus heavily suffer from performance overheads. To solve this issue, we propose a novel hybrid approach for effectively implementing a multi-dimensional data anonymization strategy (e.g., Mondrian) that is scalable and provides high-performance. Our hybrid approach provides a mechanism to create far fewer RDDs and smaller size partitions attached to each RDD than existing approaches. This optimal RDD creation and operations approach is critical for many multi-dimensional data anonymization applications that create tremendous execution complexity. The new mechanism in our proposed hybrid approach can dramatically reduce the critical overheads involved in re-computation cost, shuffle operations, message exchange, and cache management.

scholarly journals Experiences Using Hybrid MPI/OpenMP in the Real World: Parallelization of a 3D CFD Solver for Multi-Core Node Clusters

2010 ◽  
Vol 18 (3-4) ◽  
pp. 127-138 ◽  
Author(s):  
Gabriele Jost ◽  
Bob Robins
Keyword(s):  
Real World ◽  
High Performance ◽  
Programming Model ◽  
Hybrid Approach ◽  
Underwater Vehicles ◽  
Core Node ◽  
Real World Application ◽  
Hardware Platforms ◽  
Control Surfaces ◽  
Performance Computing

Today most systems in high-performance computing (HPC) feature a hierarchical hardware design: shared-memory nodes with several multi-core CPUs are connected via a network infrastructure. When parallelizing an application for these architectures it seems natural to employ a hierarchical programming model such as combining MPI and OpenMP. Nevertheless, there is the general lore that pure MPI outperforms the hybrid MPI/OpenMP approach. In this paper, we describe the hybrid MPI/OpenMP parallelization of IR3D (Incompressible Realistic 3-D) code, a full-scale real-world application, which simulates the environmental effects on the evolution of vortices trailing behind control surfaces of underwater vehicles. We discuss performance, scalability and limitations of the pure MPI version of the code on a variety of hardware platforms and show how the hybrid approach can help to overcome certain limitations.

scholarly journals Emotional Learning Based Intelligent Controllers for Rotor Flux Oriented Control of Induction Motor

2014 ◽  
Vol 65 (4) ◽  
pp. 228-234
Author(s):  
Rohollah Abdollahi ◽  
Reza Farhangi ◽  
Ali Yarahmadi
Keyword(s):  
Induction Motor ◽  
High Performance ◽  
Pi Controller ◽  
Emotional Learning ◽  
Novel Approach ◽  
Neuro Fuzzy ◽  
Speed Error ◽  
Industrial Drive ◽  
Rotor Flux ◽  
Intelligent Controllers

Abstract This paper presents design and evaluation of a novel approach based on emotional learning to improve the speed control system of rotor flux oriented control of induction motor. The controller includes a neuro-fuzzy system with speed error and its derivative as inputs. A fuzzy critic evaluates the present situation, and provides the emotional signal (stress). The controller modifies its characteristics so that the critics stress is reduced. The comparative simulation results show that the proposed controller is more robust and hence found to be a suitable replacement of the conventional PI controller for the high performance industrial drive applications.

Thermomechanics of High-Pressure MEMS Sensors

2007 ◽  
Author(s):  
Ryszard J. Pryputniewicz
Keyword(s):  
High Pressure ◽  
High Performance ◽  
Microelectromechanical Systems ◽  
Hybrid Approach ◽  
Mems Sensors ◽  
Temperature Changes ◽  
Sensing Technology ◽  
Piezoresistive Sensor ◽  
Mems Fabrication ◽  
Increasing Demand

Increasing demand for high performance, stable, and affordable sensors for applications in process control industry has led to development of a miniature pressure sensor. This development, made possible by recent advances in microelectromechanical systems (MEMS) fabrication, utilizes polysilicon-sensing technology. The unique polysilicon piezoresistive sensor (PPS) measures differential pressure (DP) based on deformations of a multilayer/multimaterial diaphragm, which is about 2 μm thick. Deformations of a diaphragm, subjected to changes in pressure, are sensed by the piezoresistive bridge elements. Determination of the loading pressures from strains of the piezoresistors is based on computations relying on a number of material specific and process dependent coefficients that, because of their nature, can vary, which may lead to uncertainties in displayed results, especially when temperature changes also. To establish an independent means for measurements of the thermomechanical (TM) deformations of the PPS diaphragms and to validate the coefficients used, a hybrid methodology, based on measurements using optoelectronic laser interferometric microscope (OELIM) and finite element method (FEM) computations coupled with uncertainty analysis provided by unique closed form formulations, was developed. This methodology allows highly accurate and precise measurements of TM deformations of diaphragms, as well as their computational modeling/simulations, and is a basis for “design by analysis” approach to efficient and effective developments of new MEMS sensors. In this paper the hybrid approach is described and its use is illustrated by representative examples addressing high-pressure MEMS sensors.

A facile hybrid approach to high-performance broadband antireflective thin films with humidity resistance as well as mechanical robustness

2016 ◽  
Vol 4 (23) ◽  
pp. 5342-5348 ◽  
Author(s):  
Tong Li ◽  
Junhui He
Keyword(s):  
Thin Films ◽  
High Performance ◽  
Hybrid Approach ◽  
Practical Applications ◽  
Humidity Resistance

Broadband high transmittance, humidity resistance and mechanical robustness are three important aspects that dictate the practical applications of antireflective thin films.

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