Young mobile users: Radical and individual – Not

The use of mobile phones by youth has stirred a plethora of research in different fields. Literature has analyzed in length the changes and adoption patterns related to the evolving telecommunications industry. This body of knowledge often makes assumptions on the changes in consumer profiles and the value of different features. In this study we take an longitudinal approach by analysing the results of 1&nbsp;928 responses to an online questionnaire conducted in Finland to students of a university in the Spring 2012 and on against the reanalysis of the responses of the Finnish students of upper secondary schools in the Spring 2001 and study on undergraduate students in 2006&ndash;2007. The results indicate that the youth and young adults of Finland, often argued to be an advanced country for mobile services, are surprisingly conservative towards new mobile devices and services. The changes in technology and service offering in a decade, has had a limited impact in attitudes and feature valuation, which sets significant implications to increasing adoption and usage.</span

Current State of Ontology Matching. A Survey of Ontology and Schema Matching

Ontology matching is an important task when data from multiple data sources is integrated. Problems of ontology matching have been studied widely in the researchliterature and many different solutions and approaches have been proposed alsoin commercial software tools. In this survey, well-known approaches of ontologymatching, and its subtype schema matching, are reviewed and compared. The aimof this report is to summarize the knowledge about the state-of-the-art solutionsfrom the research literature, discuss how the methods work on different application domains, and analyze pros and cons of different open source and academic tools inthe commercial world.Siirretty Doriast

TRC-Matcher and enhanced TRC-Matcher. New Tools for Automatic XML Schema Matching

Siirretty Doriast

3D Mesh Simplification. A survey of algorithms and CAD model simplification tests

Simplification of highly detailed CAD models is an important step when CAD models are visualized or by other means utilized in augmented reality applications. Without simplification, CAD models may cause severe processing and storage is- sues especially in mobile devices. In addition, simplified models may have other advantages like better visual clarity or improved reliability when used for visual pose tracking. The geometry of CAD models is invariably presented in form of a 3D mesh. In this paper, we survey mesh simplification algorithms in general and focus especially to algorithms that can be used to simplify CAD models. We test some commonly known algorithms with real world CAD data and characterize some new CAD related simplification algorithms that have not been surveyed in previous mesh simplification reviews.Siirretty Doriast

Exploratory analysis of semantic categories : comparing data-driven and human similarity judgments

Abstract Background In this article, automatically generated and manually crafted semantic representations are compared. The comparison takes place under the assumption that neither of these has a primary status over the other. While linguistic resources can be used to evaluate the results of automated processes, data-driven methods are useful in assessing the quality or improving the coverage of hand-created semantic resources. Methods We apply two unsupervised learning methods, Independent Component Analysis (ICA), and probabilistic topic model at word level using Latent Dirichlet Allocation (LDA) to create semantic representations from a large text corpus. We further compare the obtained results to two semantically labeled dictionaries. In addition, we use the Self-Organizing Map to visualize the obtained representations. Results We show that both methods find a considerable amount of category information in an unsupervised way. Rather than only finding groups of similar words, they can automatically find a number of features that characterize words. The unsupervised methods are also used in exploration. They provide findings which go beyond the manually predefined label sets. In addition, we demonstrate how the Self-Organizing Map visualization can be used in exploration and further analysis. Conclusion This article compares unsupervised learning methods and semantically labeled dictionaries. We show that these methods are able to find categorical information. In addition, they can further be used in an exploratory analysis. In general, information theoretically motivated and probabilistic methods provide results that are at a comparable level. Moveover, the automatic methods and human classifications give an access to semantic categorization that complement each other. Data-driven methods can furthermore be cost effective and adapt to a particular domain through appropriate choice of data sets

Machine configuration and workload balancing of modular placement machines in multi-product PCB assembly

A popular gantry-type placement machine includes several interconnected, autonomously operating component placement modules and the machine was designed so as to able to use different kinds of placement heads and vacuum nozzles in the modules, which can be easily changed. Although this increases the flexibility of the production line, the reconfiguration phases of the modules may be unproductive and one should keep them to a minimum. In addition, the production times can be shortened by balancing the workloads of the machine modules. Here, a two-step optimisation method for the machine reconfiguration and workload balancing in the case of multiple Printed Circuit Borad (PCB) batches of different sizes and PCB types is presented. The objective is to minimise the total production time, and keep the machine configuration the same for all batches. The proposed algorithm is iterative and it applies integer programming for the workload balancing along with an evolutionary algorithm that searches for the best machine configuration. In experiments, for single PCB types the proposed algorithm obtained optimal or near optimal solutions. For multiple PCB types the solutions favour the PCB types that have a bigger production time due to greater batch sizes, but the total production time is still close to optimal.KEYWORDS: Printed circuit board, modular machines, machine configuration, mixed-model workload balancing, integer programing, genetic algorithm</a

Associations of perceived poor societal treatment among the oldest-old

Peer reviewe

TRC-Matcher and enhanced TRC-Matcher. New Tools for Automatic XML Schema Matching

Modern society depends on the access to a wide range of information that is located in heterogeneous data sources. Schema matching is a task of finding relationships among data source elements automatically. However, most of the existing schema matching software are semi-automatic meaning that they need a lot of interaction from an expert familiar with the systems being integrated. In this work, we propose a new hybrid matcher algorithm, called TRC-matcher, that is targeted for matching business oriented XML schemas with none or minor user assistance. When compared to previously published schema matching methods, the efficiency of the new algorithm is based on a new content profiling algorithm and on intelligent combination of matching results of multiple matching algorithms. In addition, an enhanced version of the TRC-Matcher is introduced that combines machine learning methods together with few new matching algorithms.</p

Current State of Ontology Matching. A Survey of Ontology and Schema Matching

Ontology matching is an important task when data from multiple data sources is integrated. Problems of ontology matching have been studied widely in the researchliterature and many different solutions and approaches have been proposed alsoin commercial software tools. In this survey, well-known approaches of ontologymatching, and its subtype schema matching, are reviewed and compared. The aimof this report is to summarize the knowledge about the state-of-the-art solutionsfrom the research literature, discuss how the methods work on different application domains, and analyze pros and cons of different open source and academic tools inthe commercial world.</p