Active control of friction self-excited vibration using neuro-fuzzy and data mining techniques
Vibration caused by friction, termed as friction-induced self-excited vibration (FSV), is harmful to engineering systems. Understanding this physical phenomenon and developing some strategies to effectively control the vibration have both theoretical ...
Optimization of load balancing using fuzzy Q-Learning for next generation wireless networks
Load balancing is considered by the 3GPP as an important issue in Self-Organizing Networks due to its effectiveness to increase network capacity. In next generation wireless networks, load balancing can be easily implemented by tuning handover (HO) ...
Similarity classifier with ordered weighted averaging operators
In this article we extend the similarity classifier to cover also ordered weighted averaging (OWA) operators. Earlier, similarity classifier was mainly used with generalized mean operator, but in this article we extend this aggregation process to cover ...
A fuzzy multi-criteria approach to flood risk vulnerability in South Korea by considering climate change impacts
This study develops a framework to quantify the flood risk vulnerability in South Korea by considering climate change impacts. On the basis of the concept of exposure-sensitivity-adaptive capacity, 21 proxy variables are selected and screened, and their ...
ANN-based residential water end-use demand forecasting model
Bottom-up urban water demand forecasting based on empirical data for individual water end uses or micro-components (e.g., toilet, shower, etc.) for different households of varying characteristics is undoubtedly superior to top-down estimates originating ...
Cooperative controllers for highways based on human experience
The AUTOPIA program has been working on the development of intelligent autonomous vehicles for the last 10 years. Its latest advances have focused on the development of cooperative manoeuvres based on communications involving several vehicles. However, ...
Mining association rules for the quality improvement of the production process
Academics and practitioners have a common interest in the continuing development of methods and computer applications that support or perform knowledge-intensive engineering tasks. Operations management dysfunctions and lost production time are problems ...
On-line learning of a fuzzy controller for a precise vehicle cruise control system
Usually, vehicle applications need to use artificial intelligence techniques to implement control strategies able to deal with the noise in the signals provided by sensors, or with the impossibility of having full knowledge of the dynamics of a vehicle (...
Data mining applied to the cognitive rehabilitation of patients with acquired brain injury
Acquired brain injury (ABI) is one of the leading causes of death and disability in the world and is associated with high health care costs as a result of the acute treatment and long term rehabilitation involved. Different algorithms and methods have ...
Machine learning methods to forecast temperature in buildings
- Fernando Mateo,
- Juan José Carrasco,
- Abderrahim Sellami,
- MóNica MilláN-Giraldo,
- Manuel DomíNguez,
- Emilio Soria-Olivas
Efficient management of energy in buildings saves a very important amount of resources (both economic and technological). As a consequence, there is a very active research in this field. One of the keys of energy management is the prediction of the ...
On the dynamic adaptation of language models based on dialogue information
We present an approach to adapt dynamically the language models (LMs) used by a speech recognizer that is part of a spoken dialogue system. We have developed a grammar generation strategy that automatically adapts the LMs using the semantic information ...
Association rule mining to detect factors which contribute to heart disease in males and females
This paper investigates the sick and healthy factors which contribute to heart disease for males and females. Association rule mining, a computational intelligence approach, is used to identify these factors and the UCI Cleveland dataset, a biological ...
A stratified framework for handling conditional preferences: An extension of the analytic hierarchy process
Representing and reasoning over different forms of preferences is of crucial importance to many different fields, especially where numerical comparisons need to be made between critical options. Focusing on the well-known Analytical Hierarchical Process ...
Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios
Multiple-target tracking is a challenging field specially when dealing with uncontrolled scenarios. Two common approaches are often used, one based on low-level techniques to detect each object size, position and velocity, and other based on high-level ...
Color local complexity estimation based steganographic (CLCES) method
In this paper we present the color local complexity estimation based steganographic (CLCES) method that is able of both preventing visual degradation and providing a large embedding capacity. A preprocessing stage is applied in the proposed scheme to ...
Discretization and fitting of nominal data for autonomous robots
This paper presents methodologies to discretize nominal robot paths extracted from 3-D CAD drawings. Behind robot path discretization is the ability to have a robot adjusting the traversed paths so that the contact between robot tool and work-piece is ...
Adaptive Automated Teller Machines
Nowadays, Automated Teller Machines (ATMs) provide significant online support to bank customers. A limitation of ATM usage is that customers often have to wait in a queue, especially at ATMs installed at busy locations. Also, old people tend to consume ...
A method for the selection of customized equipment suppliers
The acquisition of custom design equipment may be accomplished by selecting a supplier to launch a product development project. That selection is usually performed by a bidding process that requires a procedure for the evaluation of proposals. This ...
RetriBlog: An architecture-centered framework for developing blog crawlers
Blogs have become an important social tool. It allows the users to share their tastes, express their opinions, report news, form groups related to some subject, among others. The information obtained from the blogosphere may be used to create several ...
An Adaptive Match-Making System reflecting the explicit and implicit preferences of users
This is a study of a matchmaking system that adaptively adjusts the recommendation model reflecting the user's implicit preference as well as the explicit one. Many matchmaking systems require their users to assign the level of importance, referred to ...
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment
Scale deposition can damage equipment in the oil & gas production industry. Hence, the reliable and accurate prediction of the scale deposition rate is critical for production availability. In this study, we consider the problem of predicting the scale ...
A comparison of nature inspired algorithms for multi-threshold image segmentation
In the field of image analysis, segmentation is one of the most important preprocessing steps. One way to achieve segmentation is by mean of threshold selection, where each pixel that belongs to a determined class is labeled according to the selected ...
An intelligent real-time multi-vessel collision risk assessment system from VTS view point based on fuzzy inference system
Due to brisk industrial growth, the marine traffic has become an imperative subject in the open sea nowadays. The crew inside the vehicle traffic service (VTS) centre is facing challenging issues on account of continuous growth in vessel number. ...
Deploying intelligent e-health services in a mobile gateway
This work presents the design of a mobile gateway for independent life and e-health support. Technologies such as OSGi and Web Services have been used to deploy several services as an example, such as bio-medical parameter monitorization, alerts, and ...
A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption
The advancement in wireless and mobile technologies has presented tremendous business opportunity for mobile-commerce (m-commerce). This research aims to examine the factors that influence consumers' m-commerce adoption intention. Variables such as ...
Online activity recognition using evolving classifiers
This paper describes the use of evolving classifiers for activity recognition from sensor readings in ambient assisted living environments. Recognizing the activities an elderly person who lives alone performs, and identifying potential problems from ...
A new method for mining Frequent Weighted Itemsets based on WIT-trees
The mining frequent itemsets plays an important role in the mining of association rules. Frequent itemsets are typically mined from binary databases where each item in a transaction may have a different significance. Mining Frequent Weighted Itemsets (...
Intelligent rotational direction control of passive robotic joint with embedded sensors
Passive compliant joints with springs and dampers ensure a smooth contact with the surroundings, especially if robots are in contact with humans, but the passive compliant joints cannot determine precisely the position of the members of the joint or ...
Representative reviewers for Internet social media
Our many various relationships with persons from home, work and school give rise to our social networks. In a social network, people receive, provide, and pass a great deal of information. In this process, we often observe that certain individuals have ...