this paper presents the fatigue life behavior of hub using random vibration based on road roughness. the main objectives of this study are to predict the fatigue life and to identify the critical location for evaluating fatigue damage. asphalt road surface profiles obtained in favorable circumstances by topography cameras and in according road classification iso 2631-1estimate road roughness su...

A critical, yet not very well studied problem in medical applications is the issue of accurately labeling patient records according to diagnoses and procedures that patients have undergone. This labeling problem, known as coding, consists of assigning standard medical codes (ICD9 and CPT) to patient records. Each patient record can have several corresponding labels/codes, many of which are corr...

This paper describes the DCU-UVT team’s participation in the Language Identification in Code-Switched Data shared task in the Workshop on Computational Approaches to Code Switching. Wordlevel classification experiments were carried out using a simple dictionary-based method, linear kernel support vector machines (SVMs) with and without contextual clues, and a k-nearest neighbour approach. Based...

Performance growth of single-core processors has come to a halt in the past decade, but was re-enabled by the introduction of parallelism in processors. Multicore frameworks along with Graphical Processing Units empowered to enhance parallelism broadly. Couples of compilers are updated to developing challenges forsynchronization and threading issues. Appropriate program and algorithm classifica...

The ability to test authorship of source code is a useful technique. We present techniques for using statistical machine learning to accomplish this task. We translate source code into abstract syntax trees and then split up the trees into functions. The tree for each function is considered a document, with a given author. This collection is fed to an SVM package using a kernel that operates on...

As of today the programming language of the vast majority of the published source code is manually specified or programmatically assigned based on the sole file extension. In this paper we show that the source code programming language identification task can be fully automated using machine learning techniques. We first define the criteria that a production-level automatic programming language...

Modern communication standards such as Digital Imaging and Communication in Medicine (DICOM) include nonimage data for a standardized description of study, patient, or technical parameters. However, these tags are rather roughly structured, ambiguous, and often optional. In this paper, we present a mono-hierarchical multi-axial classification code for medical images and emphasize its advantages...

Aspect-oriented programming strives to encapsulate crosscutting concerns into modular units called aspects. Aspect Mining techniques aim to search for aspect candidates in existing software systems. These techniques associate all occurrences of scattered code in existing applications with the absence of aspects. In this paper, we demonstrate that in a poorly designed object-oriented system, sca...