The area of Knowledge discovery and data mining is growing rapidly. Feature Discretization is a crucial issue in Knowledge Discovery in Databases (KDD), or Data Mining because most data sets used in real world applications have features with...
Pattern perception--Data processing; Pattern recognition systems; Land mines--Detection; Data mining
For complex detection and classification problems, involving data with large intra-class variations and noisy inputs, no single source of information can provide a satisfactory solution. As a result, combination of multiple classifiers is playing...
Data Classification is a task that could be found in many life activities. In general, the term could be used for any activity that derives some decision or forecast based on the currently available information. Using a more accurate definition, a...
Pattern recognition systems; Cluster analysis; Data mining
Despite the large number of existing clustering methods, clustering remains a challenging task especially when the structure of the data does not correspond to easily separable categories, and when clusters vary in size, density and shape. Existing...
Preventive maintenance is a broad term that encompasses a set of activities aimed at improving the overall reliability and availability of a system. Preventive maintenance involves a basic trade-off between the costs of conducting...
The revolution in information technology and the explosion in the use of computing devices in people's everyday activities has forever changed the perspective of the data mining and machine learning fields. The enormous amounts of easily...
This study defines a new approach for building a Web Services based infrastructure for distributed data mining applications. The proposed architecture provides a roadmap for "autonomic" functionality of the infrastructure hiding the...
Heuristic; Production management; Personnel management--Data processing
The Naval Surface Warfare Center wishes to create a task assignment schedule
with a minimal training cost for workers to raise their skills to the required levels. As the
number of workers, skills, and tasks increase, the problem quickly becomes...
Radio frequency allocation--Mathematics; Wireless communication systems--Mathematical models; Frequency spectra--Mathematical models
Multidimensional frequency estimation is a classic signal processing problem that has versatile applications in sensor array processing and wireless communications. Eigenvalue-based two-dimensional (2-D) and N -dimensional ( N -D) frequency...
An ensemble consists of a set of individual predictors whose predictions are combined. Generally, different classification and regression models tend to work well for different types of data and also, it is usually not know which algorithm will be...
Swarm Intelligence (SI) techniques were inspired by bee swarms, ant colonies, and most
recently, bird flocks. Flock-based Swarm Intelligence (FSI) has several unique features, namely
decentralized control, collaborative learning, high exploration...
All terrain vehicles--Automatic control; Motor vehicles--Automatic control; Intelligent control systems
When tracked vehicles traverse terrain such as sand, soil, or even concrete,
they may encounter a variance in density or viscosity of the medium that the
vehicle is traveling along. When this happens, one track begins to move faster or
slower...
Computers and music have shared a rich history since the 1950s. Many languages and standards have been built around music. Yet even before the advent of the computer, music shared algorithmic ideas with mathematics which brought about many new...
Due to the overwhelming increase in open source code, off-the-shelf software packages, third party and vendor codes, along with the ease of getting information about hacking network security systems and attacking the well known holes in security...
Grading and marking (Students)--Data processing; Discourse analysis--Data processing; Instructional systems--Design
In recent years the use of Tablet PCs in education has received a great deal of attention. Improved note-taking and lecture presentation have been the main focus of Tablet PCs in education. Currently, grading of student work collected as digital...
Pattern recognition systems; Land mines--Detection; Pattern perception--Data processing; Data mining
Traditional machine learning and pattern recognition systems use a feature descriptor to describe the sensor data and a particular classifier (also called "expert" or "learner") to determine the true class of a given pattern....
Data libraries--Security measures; Computer networks--Security measures; Information storage and retrieval systems; Digital preservation
Data centers (DC) are the core of the national cyber infrastructure. With the incredible growth of critical data volumes in financial institutions, government organizations, and global companies, data centers are becoming larger and more...
Traditionally, fingerprint image acquisition was based on contact. However
the conventional touch-based fingerprint acquisition introduces some problems
such as distortions and deformations to the fingerprint image. The most recent
technology for...
The facility layout problem is a combinatorial optimization problem that involves determining the location and shape of various departments within a facility based on inter-department volume and distance measures. An optimal solution to the problem...
In this dissertation, we study the performance evaluation of two automated warehouse material handling (MH) technologies - automated storage/retrieval system (AS/RS) and autonomous vehicle storage/retrieval system (AVS/RS). AS/RS is a traditional...
