|Total results: 190||
|Data Quality Assessment: Problems and Methods
Juliusz L. Kulikowski.
A state-of-the-art in the domain of data quality assessment and maintaining in modern information systems is presented in the paper. A short historical view on the development of this problem is given. Particular attention is paid to the development of the idea of multi-aspect data quality assessment....
The Evolution of Balance Scorecard and its Impact on Web Services Quality
Web services quality have become a significant part of small businesses who use it to facilitate the seamless flow of business transactions and financial growth. While previous research focused on the technological, operational and infrastructure capabilities such as; reducing the cost of application...
Analysis of Decision-Making Process in Helicopter Emergency Medical Service
Akinori Minazuki, Hidehiko Hayashi.
In the helicopter emergency medical service (HEMS), the captain flies without using visual assistance to keep some distance between the helicopter and clouds or obstacles. Under the present conditions, the communication specialist (CS) and the captain of HEMS contact each other and select the safest...
A SOA-Based Module for the Production of Geo-Summaries
Elena Roglia, Rosa Meo.
The authors present in this paper the functionalities of the Metadata Retrieval (MDR) module, a software component developed to enrich the information content of a system controlling a fleet of Unmanned Aircraft Vehicles (UAVs) by means of annotations on locations provided by Volunteered Geographical...
Swarm Intelligence for Electric and Electronic Engineering
Girolamo Fornarelli, Luciano Mescia.
With growing developments in artificial intelligence and focus on swarm behaviors; algorithms have been utilized in solving a variety of problems in the field of engineering. This approach has been specifically suited to face the challenges in electric and electronic engineering.Swarm Intelligence for...
Microwave Circuit Design
Gabriel Cormier, Tyler Ross.
Circuit models play an important role in the design and optimization of microwave circuits (circuits in the GHz frequency range). These circuit models contain many parameters, including parasitic elements, necessary to correctly model the behavior of transistors at high frequencies. These models are...
MO-TRIBES for the Optimal Design of Analog Filters
Mourad Fakhfakh, Patrick Siarry.
The authors present the use of swarm intelligence in the analog design field. MO-TRIBES, which is an adaptive user-parameter less version of the multi-objective particle swarm optimization technique, is applied for the optimal design of a versatile building block, namely a CMOS current conveyor...
Particle Swarm Optimization Algorithms Applied to Antenna and Microwave Design Problems
Sotirios K. Goudos, Zaharias D. Zaharis, Konstantinos B. Baltzis.
Particle Swarm Optimization (PSO) is an evolutionary optimization algorithm inspired by the social behavior of birds flocking and fish schooling. Numerous PSO variants have been proposed in the literature for addressing different problem types. In this chapter, the authors apply different PSO variants...
Optimum Design of Hybrid EDFA/FRA by Particle Swarm Optimization
Alireza Mowla, Nosrat Granpayeh, Azadeh Rastegari Hormozi.
In this chapter, the authors introduce the hybrid erbium-doped fiber amplifier (EDFA)/fiber Raman amplifier (FRA) and its optimization procedure by particle swarm optimization (PSO). EDFAs, FRAs, and their combinations, which have the advantages of both, are the most important optical fiber amplifiers...
Distributed Task Allocation in Swarms of Robots
Aleksandar Jevtic, Diego Andina, Mo Jamshidi.
This chapter introduces a swarm intelligence-inspired approach for target allocation in large teams of autonomous robots. For this purpose, the Distributed Bees Algorithm (DBA) was proposed and developed by the authors. The algorithm allows decentralized decision-making by the robots based on the...
Optimal Location of the Workpiece in a PKM-based Machining Robotic Cell
E.J. Solteiro Pires, António M. Lopes, J. A. Tenreiro Machado, P. B. de Moura Oliveira.
Most machining tasks require high accuracy and are carried out by dedicated machine-tools. On the other hand, traditional robots are flexible and easy to program, but they are rather inaccurate for certain tasks. Parallel kinematic robots could combine the accuracy and flexibility that are usually...
Transmission Expansion Planning by using DC and AC Models and Particle Swarm Optimization
Santiago P. Torres, Carlos A. Castro, Marcos J. Rider.
The Transmission Expansion Planning (TEP) entails to determine all the changes needed in the electric transmission system infrastructure in order to allow the balance between the projected demand and the power supply, at minimum investment and operational costs. In some type of TEP studies, the DC...
Short-Term Generation Scheduling Solved with a Particle Swarm Optimizer
Víctor Hugo Hinojosa Mateus, Cristhoper Leyton Rojas.
In this chapter, a particle swarm optimizer is applied to solve the problem of short-term Hydrothermal Generation Scheduling Problem – one day to one week in advance. The optimization problems have been formulated taking into account binary and real variables (water discharge rates and thermal states...
Nondestructive Analysis of Dielectric Bodies by Means of an Ant Colony Optimization Method
Matteo Pastorino, Andrea Randazzo.
Electromagnetic approaches based on inverse scattering are very important in the field of nondestructive analysis of dielectric targets. In most cases, the inverse scattering problem related to the reconstruction of the dielectric properties of unknown targets starting from measured field values can be...
The Use of Evolutionary Algorithm-Based Methods in EEG Based BCI Systems
Adham Atyabi, Martin Luerssen, Sean P Fitzgibbon, David M W Powers.
Electroencephalogram (EEG) based Brain Computer Interface (BCI) is a system that uses human brainwaves recorded from the scalp as a means for providing a new communication channel by which people with limited physical communication capability can effect control over devices such as moving a mouse and...
A Study of Normalized Population Diversity in Particle Swarm Optimization
Shi Cheng, Yuhui Shi, Quande Qin.
The values and velocities of a Particle swarm optimization (PSO) algorithm can be recorded as series of matrix and its population diversity can be considered as an observation of the distribution of matrix elements. Each dimension is measured separately in the dimension-wise diversity, on the contrary...
An Improved Population-Based Incremental Learning Algorithm
Komla A. Folly.
Population-Based Incremental Learning (PBIL) is a relatively new class of Evolutionary Algorithms (EA) that has been recently applied to a range of optimization problems in engineering with promising results. PBIL combines aspects of Genetic Algorithm with competitive learning. The learning rate in the...