60 research outputs found

    Essays on Technology in Presence of Globalization

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    Technology has long been known to enable globalization in ways previously not thought possible, with instantaneous communication allowing members of organizations all across the globe to communicate and share information with little to no delay. However, as the effects of globalization have become more prominent, they have in turn helped to shape the very technologies that enable these processes. These three essays analyze three examples of how these two processes – globalization and technological development – impact one another. The first looks at a national policy level, attempting to understand how increased possibilities for inside leakers can force governments to consider asylum requests. The second analyzes the issue at the level of corporations, attempting to understand how and why business leaders choose to hire individuals from other countries. The third and final essay analyzes the issue at the most micro level, studying a potential application that could help analyze linguistic factors that have taken a more prominent role in a more globalized society

    An Analysis of Major Acquisition Reforms through Text Mining and Grounded Theory Design

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    Cost growth is an established phenomenon within Defense Acquisition that the US Government has attempted to abolish for decades through seemingly endless cycles of reform. Dozens of experts and senior leaders within the acquisition community have published their notions on the reasons for cost growth, nevertheless, legislation has yet to eradicate this presumed conundrum. For this reason, this research is aimed at identifying existing trends within past major Defense Acquisition Reform legislation, as well as in a compendium of views from leaders within the Defense Acquisition community on the efficacy of acquisition reform, to determine the possible disconnect. To accomplish this goal, this research takes a qualitative approach, utilizing various Text Mining methodologies (word frequency, word relationships, term frequency-inverse document frequency, sentiment analysis, and topic modeling), along with Grounded Theory Design, to analyze the major reforms and expert views. The results of this research corroborate the current literature’s claim that past Defense Acquisition reforms have not been able to sufficiently address the root causes of cost growth, and identifies six potential root causes of cost growth: Strategy, the Industrial Base, Risk Management, the Requirements and Research, Development, Test, and Evaluation (RDT&E) Processes, the Workforce, and Cost Estimates and the Planning, Programming, Budget, and Execution (PPBE) Process

    Upper Tag Ontology (UTO) For Integrating Social Tagging Data

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    Data integration and mediation have become central concerns of information technology over the past few decades. With the advent of the Web and the rapid increases in the amount of data and the number of Web documents and users, researchers have focused on enhancing the interoperability of data through the development of metadata schemes. Other researchers have looked to the wealth of metadata generated by bookmarking sites on the Social Web. While several existing ontologies have capitalized on the semantics of metadata created by tagging activities, the Upper Tag Ontology (UTO) emphasizes the structure of tagging activities to facilitate modeling of tagging data and the integration of data from different bookmarking sites as well as the alignment of tagging ontologies. UTO is described and its utility in modeling, harvesting, integrating, searching, and analyzing data is demonstrated with metadata harvested from three major social tagging systems (Delicious, Flickr, and YouTube)

    Proceedings of the ECCS 2005 satellite workshop: embracing complexity in design - Paris 17 November 2005

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    Embracing complexity in design is one of the critical issues and challenges of the 21st century. As the realization grows that design activities and artefacts display properties associated with complex adaptive systems, so grows the need to use complexity concepts and methods to understand these properties and inform the design of better artifacts. It is a great challenge because complexity science represents an epistemological and methodological swift that promises a holistic approach in the understanding and operational support of design. But design is also a major contributor in complexity research. Design science is concerned with problems that are fundamental in the sciences in general and complexity sciences in particular. For instance, design has been perceived and studied as a ubiquitous activity inherent in every human activity, as the art of generating hypotheses, as a type of experiment, or as a creative co-evolutionary process. Design science and its established approaches and practices can be a great source for advancement and innovation in complexity science. These proceedings are the result of a workshop organized as part of the activities of a UK government AHRB/EPSRC funded research cluster called Embracing Complexity in Design (www.complexityanddesign.net) and the European Conference in Complex Systems (complexsystems.lri.fr). Embracing complexity in design is one of the critical issues and challenges of the 21st century. As the realization grows that design activities and artefacts display properties associated with complex adaptive systems, so grows the need to use complexity concepts and methods to understand these properties and inform the design of better artifacts. It is a great challenge because complexity science represents an epistemological and methodological swift that promises a holistic approach in the understanding and operational support of design. But design is also a major contributor in complexity research. Design science is concerned with problems that are fundamental in the sciences in general and complexity sciences in particular. For instance, design has been perceived and studied as a ubiquitous activity inherent in every human activity, as the art of generating hypotheses, as a type of experiment, or as a creative co-evolutionary process. Design science and its established approaches and practices can be a great source for advancement and innovation in complexity science. These proceedings are the result of a workshop organized as part of the activities of a UK government AHRB/EPSRC funded research cluster called Embracing Complexity in Design (www.complexityanddesign.net) and the European Conference in Complex Systems (complexsystems.lri.fr)

    RaspBot - Raspberry Pi-powered Robot controlled by a WebApp

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    This project aims at designing a robot prototype made from Lego, which contains a Raspberry Pi device, that will be remotely controlled through a web application to allow the robot to perform certain movements which would be sent from the client’s interaction. The process began by researching several different technologies that we used as our starting point for designing both prototypes (hardware and software). Concurrently, we focused investigation on the IoT and were inspired to make a robot prototype that would implement the basic concepts and, at the same time, merge it with the previously learnt knowledge acquired during our 3 year course in Information Technology

    Intelligent Systems

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    This book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and semantic reasoning all benefit from the systems covered in this book. Intelligent systems can also be applied in education and generating the intelligent distributed eLearning architecture, as well as in a large number of technical fields, such as industrial design, manufacturing and utilization, e.g., in precision agriculture, cartography, electric power distribution systems, intelligent building management systems, drilling operations etc. Furthermore, decision making using fuzzy logic models, computational recognition of comprehension uncertainty and the joint synthesis of goals and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier

    Element Transitions in the Phonemic Communication System of a Non-Human Animal

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    Traditionally, language is a trait which has been considered as “uniquely human”, without too much consideration as to what parallels may exist in animal communication. However, in recent years this has begun to change, and great leaps are being made to study animal vocalisations on a deeper linguistic level. In doing so it has become apparent that they do use sound units as building blocks to form longer more complex calls, a parallel to human morphosyntax. However, in the case of phonemes, where these sound units are meaningless when produced in isolation, only one species has so far been demonstrated to use a comparable system: the chestnut-crowned babbler. Here we build on previous research, supporting the parallel to rudimentary phoneme use by this cooperative passerine. We demonstrate these two meaningless sound units, the A and B notes, are produced by all individuals and across different environmental contexts. We propose that their production as single elements in the babblers’ repertoire to be mistakes as the birds search for the correct call, or switch between different calls, and thus still hold no meaning or behavioural cue to the birds. We continue to demonstrate further parallels to human language through the presence of the linguistic laws of compression and coarticulation in the A-B call complexes. These two notes of the babbler’s repertoire act as an example as to the depth of complexity that exists in animal communication. Further research in other species is crucial to identify these linguistic parallels with human language in order to give greater insights into the evolution of language and communication as a whole

    Lingualyzer: A computational linguistic tool for multilingual and multidimensional text analysis

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    Most natural language models and tools are restricted to one language, typically English. For researchers in the behavioral sciences investigating languages other than English, and for those researchers who would like to make cross-linguistic comparisons, hardly any computational linguistic tools exist, particularly none for those researchers who lack deep computational linguistic knowledge or programming skills. Yet, for interdisciplinary researchers in a variety of fields, ranging from psycholinguistics, social psychology, cognitive psychology, education, to literary studies, there certainly is a need for such a cross-linguistic tool. In the current paper, we present Lingualyzer (https://lingualyzer.com), an easily accessible tool that analyzes text at three different text levels (sentence, paragraph, document), which includes 351 multidimensional linguistic measures that are available in 41 different languages. This paper gives an overview of Lingualyzer, categorizes its hundreds of measures, demonstrates how it distinguishes itself from other text quantification tools, explains how it can be used, and provides validations. Lingualyzer is freely accessible for scientific purposes using an intuitive and easy-to-use interface
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