A new WebGIS approach to support ground penetrating radar deployment

En raison de l’agglomération complexe des infrastructures souterraines dans les grandes zones urbaines et des préoccupations accrues des municipalités ou des gouvernements qui déploient des systèmes d’information foncière ou des industries qui souhaitent construire ou creuser, il devient de plus en plus impératif de localiser et de cartographier avec précision les pipelines, les câbles d’énergie hydroélectrique, les réseaux de communication ou les conduites d’eau potable et d’égout. Le géoradar (Ground Penetrating Radar ou GPR) est un outil en géophysique qui permet de produire des images en coupe du sous-sol desquelles de l’information utile sur les infrastructures souterraines peut être tirée. Des expériences antérieures et une analyse documentaire approfondie ont révélé que les logiciels disponibles pour réaliser des levés GPR qui sont utilisés directement sur le terrain et hors site ne reposent pas ou très peu sur des fonctionnalités géospatiales. En outre, l’intégration de données telles que la visualisation de données GPR dans des espaces géoréférencés avec des orthophotos, des cartes, des points d’intérêt, des plans CAO, etc., est impossible. Lorsque disponible, l’ajout d’annotations ou l’interrogation d’objets géospatiaux susceptibles d’améliorer ou d’accélérer les investigations ne proposent pas des interfaces conviviales. Dans ce projet de recherche, une nouvelle approche est proposée pour déployer le GPR et elle est basée sur quatre fonctionnalités issues du Web et des systèmes d’information géographique (WebGIS) jugées essentielles pour faciliter la réalisation de levés GPR sur le terrain. Pour démontrer la faisabilité de cette nouvelle approche, une extension de la plate-forme logicielle existante GVX (conçue et vendue par Geovoxel) appelée GVX-GPR a été développée. GVX-GPR propose aux utilisateurs d’instruments GPR quatre fonctionnalités soit 1) intégration de cartes, 2) géo-annotations et points d’intérêt, 3) géoréférencement et visualisation de radargrammes et 4) visualisation de sections GPR géoréférencées. Afin de tester l’approche WebGIS et GPXGPR, deux sites d’étude ont été relevés par deux professionnels différents, un expert et un non-expert en géophysique, ont été sélectionnés. Une première expérimentation réalisée sur le campus de l’Université Laval à Québec prévoyait l’identification de trois objets enterrés soit un câble électrique, une fibre optique et un tunnel dont leur position XYZ était connue. Le deuxième essai s’est passé à l’Universidade Federal do Rio de Janeiro (Rio de Janeiro, Brésil), avec un professionnel expert en géophysique. Ce 2e site cherchait à reproduire un environnent plus réaliste avec une quantité inconnue d’objets enterrés. Les quatre fonctionnalités proposées par GVX-GPR ont donc été testées et leur intérêt discuté par les deux utilisateurs GPR. Les deux utilisateurs GPR se sont dits très intéressés par l’outil GVX-GPR et ses nouvelles fonctionnalités et ils aimeraient pouvoir l’intégrer à leur travail quotidien car ils y voient des avantages. En particulier, l’approche et GVX-GPR les a aidés à découvrir de nouvelles cibles, à délimiter le territoire à couvrir, à interpréter les données GPR brutes en permettant l’interaction entre les données géospatiales (en ligne) et les profils de données GPR, et finalement pour la cartographie à produire tout en respectant la norme CityGML (donc utile au partage éventuel des données). De même, une fois le système maitrisé, GVX-GPR a permis d’optimiser la durée du levé. Ce projet de maitrise a donc permis d’élaborer une nouvelle approche pour effectuer des levés GPR et proposer un outil logiciel pour tester la faisabilité de celle-ci. Une première étape de validation de la faisabilité et de l’utilité a été réalisée grâce aux deux tests effectués. Évidemment, ces deux tests sont des premiers pas dans une phase plus large de validation qui pourrait s’effectuer, et ils ont ouvert la porte à des ajustements ou l’ajout d’autres fonctionnalités, comme la manipulation des outils de visualisation 3D et l’ajout de filtres et traitement de signal. Nous estimons néanmoins ces premiers tests concluant pour ce projet de maîtrise, et surtout ils démontrent que les instruments GPR gagneraient à davantage intégrer les données et fonctionnalités géospatiales. Nous pensons également que nos travaux vont permettre à des communautés de non spécialistes en géophysique de s’intéresser aux instruments de type GPR pour les levés d’objets enfouis. Notre approche pourra les aider à préparer les données géospatiales utiles à la planification, à effectuer le levé terrain et à produire les cartes associéesDue to the complex agglomeration of underground infrastructures in large urban areas and accordingly increased concerns by municipalities or government who deploy land information systems or industries who want to construct or excavate, it is imperative to accurately locate and suitability map existing underground utility networks (UUN) such as pipelines, hydroelectric power cables, communication networks, or drinking water and sewage conduits. One emerging category of instrument in geophysics for collecting and extracting data from the underground is the ground penetrating radar (GPR). Previous experiments and a thorough literature review revealed that GPR software used in and off the field do not take advantage of geospatial features and data integration such as visualization of GPR data in a georeferenced space with orthophotographies, map, point of interest, CAD plans, etc. Also missing is the capability to add annotation or querying geospatial objects that may improve or expedite the investigations. These functions are long-lived in the geospatial domain, such as in geographic information system (GIS). In this research project, a new approach is proposed to deploy GPR based on four core WebGIS-enabled features, used to support field investigations with GPR. This WebGIS is based on an existing platform called GVX, designed and sold by Geovoxel as a risk management tool for civil engineering projects. In this proposed approach, a generic guideline based on GVX-GPR was developed which users can follow when deploying GPR. This approach is based on four core features which are missing on most GPR software, (1) map integration, (2) geo-annotations and points of interest, (3) radargram georeferencing and visualization, and (4) georeferenced slice visualization. In order to test the designed WebGIS-based approach, two different professionals, an expert in geophysics and a person without any background in geophysics, used the proposed approach in their day-to-day professional practice. The first experiment was conducted at Université Laval (Québec – Canada) when the subject undertook an area to a survey in order to identify 3 possible targets premapped. The second, with a Geophysics-specialist, took place in Rio de Janeiro, at Universidade Federal do Rio de Janeiro’s campus. This study covered an area counting on an unknown number of buried objects, aiming at reproducing a realistic survey scenario. Four new feature were added and discussed with GPR practitioners. Both GPR user declared to be very interested by the proposed by the tool GVX-GPR and its features, being willing to apply this software on their daily basis due to the added advantages. Particularly, this approach has aided these professionals to find new buried objects, delimit the survey area, interpret raw GPR data by allowing geospatial data interaction and GPR profiles, and, finally, to produce new maps compliant with standards such as CityGML. Also, once mastered, the technology allowed the optimization of survey time. This project enabled the development of a new approach to leverage GPR surveys and proposed a new tool in order to test the approach’s feasibility. A first step into the validation of this proposal has been taken towards a feasibility and utility evaluation with two tests accomplished. Unmistakably, these are the first steps of a likely larger validation process, opening up new possibilities for the continuity of the project such as the addition of signal processing techniques and 3D data handling. We nevertheless consider these conclusive for this master’s project, above all demonstrating the value add by geospatial data integration and functions to GPR instruments. This work is also intended to the community of newcomers, or interested in GPR, to further explore this technology, since this approach shall facilitate the preparation, execution, and post-processing phases of a GPR survey

A Knowledge-Based Engineering System Framework for the Development of Electric Machines

The new concept industry 4.0 is a great opportunity to improve the competitiveness in a global market for small-medium size electric machinery companies. The demand for electric motors have increased in the last decade especially due to applications that try to make a full transition from fuel to electricity. These applications encounter the need for tailor-made motors that must meet demanding requirements. Therefore, it is mandatory small-medium companies adopt new technologies offering customized products fulfilling the customers’ requirements according to their investment capacity. Furthermore, simplify their development process as well as to reduce computational time to achieve a feasible design in shorter periods. In addition, find ways to retain know-how that is typically kept within each designer either to retrieve it or transfer it to new designers. To support the aforementioned issue, a knowledge-based engineering (KBE) system framework for the development of electric machines is devised. The framework is encapsulated in the so-called KBV2-model comprising the standardized macro-level framework for electrical machine and the knowledge base generation process. This thesis describes this model and the integration of KBE applications with current industrial technologies such as Model-Based Systems Engineering (MBSE), Product Lifecycle Management (PLM), multiphysics and analytical design tools. This architecture provides capability to manage and automate tasks in the development process of electric machines. The author of this work has opted to develop KBE applications following the minimum viable product principle. The KBE system framework herein presented is formalized through the experience and analysis of the development and implementation of the KBE applications. From which a guideline is provided following a sequential process in order to achieve a viable KBE system. To substantiate the process a KBE system is created that supports the development of electric motors for the elevator system industry

Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband

Erschienen bei: universi - Universitätsverlag Siegen. - ISBN: 978-3-96182-063-4Aus dem Inhalt: Track 1: Produktion & Cyber-Physische Systeme Requirements and a Meta Model for Exchanging Additive Manufacturing Capacities Service Systems, Smart Service Systems and Cyber- Physical Systems—What’s the difference? Towards a Unified Terminology Developing an Industrial IoT Platform – Trade-off between Horizontal and Vertical Approaches Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case Stakeholder-Analyse zum Einsatz IIoT-basierter Frischeinformationen in der Lebensmittelindustrie Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs Track 2: Logistic Analytics An Empirical Study of Customers’ Behavioral Intention to Use Ridepooling Services – An Extension of the Technology Acceptance Model Modeling Delay Propagation and Transmission in Railway Networks What is the impact of company specific adjustments on the acceptance and diffusion of logistic standards? Robust Route Planning in Intermodal Urban Traffic Track 3: Unternehmensmodellierung & Informationssystemgestaltung (Enterprise Modelling & Information Systems Design) Work System Modeling Method with Different Levels of Specificity and Rigor for Different Stakeholder Purposes Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement Strategic Analysis in the Realm of Enterprise Modeling – On the Example of Blockchain-Based Initiatives for the Electricity Sector Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren Novices’ Quality Perceptions and the Acceptance of Process Modeling Grammars Entwicklung einer Definition für Social Business Objects (SBO) zur Modellierung von Unternehmensinformationen Designing a Reference Model for Digital Product Configurators Terminology for Evolving Design Artifacts Business Role-Object Specification: A Language for Behavior-aware Structural Modeling of Business Objects Generating Smart Glasses-based Information Systems with BPMN4SGA: A BPMN Extension for Smart Glasses Applications Using Blockchain in Peer-to-Peer Carsharing to Build Trust in the Sharing Economy Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications Track 4: Lern- und Wissensmanagement (e-Learning and Knowledge Management) eGovernment Competences revisited – A Literature Review on necessary Competences in a Digitalized Public Sector Say Hello to Your New Automated Tutor – A Structured Literature Review on Pedagogical Conversational Agents Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education Conceptualizing Immersion for Individual Learning in Virtual Reality Designing a Flipped Classroom Course – a Process Model The Influence of Risk-Taking on Knowledge Exchange and Combination Gamified Feedback durch Avatare im Mobile Learning Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks Track 5: Data Science & Business Analytics Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness Applied image recognition: guidelines for using deep learning models in practice Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting Reading Between the Lines of Qualitative Data – How to Detect Hidden Structure Based on Codes Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation Design Features of Non-Financial Reward Programs for Online Reviews: Evaluation based on Google Maps Data Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics Leveraging Unstructured Image Data for Product Quality Improvement Decision Support for Real Estate Investors: Improving Real Estate Valuation with 3D City Models and Points of Interest Knowledge Discovery from CVs: A Topic Modeling Procedure Online Product Descriptions – Boost for your Sales? Entscheidungsunterstützung durch historienbasierte Dienstreihenfolgeplanung mit Pattern A Semi-Automated Approach for Generating Online Review Templates Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization Bedeutung von Predictive Analytics für den theoretischen Erkenntnisgewinn in der IS-Forschung Track 6: Digitale Transformation und Dienstleistungen Heuristic Theorizing in Software Development: Deriving Design Principles for Smart Glasses-based Systems Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey Taxonomy of Digital Platforms: A Platform Architecture Perspective Value of Star Players in the Digital Age Local Shopping Platforms – Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis A Socio-Technical Approach to Manage Analytics-as-a-Service – Results of an Action Design Research Project Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units Expectations vs. Reality – Benefits of Smart Services in the Field of Tension between Industry and Science Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment Characterising Social Reading Platforms— A Taxonomy-Based Approach to Structure the Field Less Complex than Expected – What Really Drives IT Consulting Value Modularity Canvas – A Framework for Visualizing Potentials of Service Modularity Towards a Conceptualization of Capabilities for Innovating Business Models in the Industrial Internet of Things A Taxonomy of Barriers to Digital Transformation Ambidexterity in Service Innovation Research: A Systematic Literature Review Design and success factors of an online solution for cross-pillar pension information Track 7: IT-Management und -Strategie A Frugal Support Structure for New Software Implementations in SMEs How to Structure a Company-wide Adoption of Big Data Analytics The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age Bewertung des Kundennutzens von Chatbots für den Einsatz im Servicedesk Understanding the Benefits of Agile Software Development in Regulated Environments Are Employees Following the Rules? On the Effectiveness of IT Consumerization Policies Agile and Attached: The Impact of Agile Practices on Agile Team Members’ Affective Organisational Commitment The Complexity Trap – Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations Platform Openness: A Systematic Literature Review and Avenues for Future Research Competence, Fashion and the Case of Blockchain The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity Track 8: eHealth & alternde Gesellschaft Security and Privacy of Personal Health Records in Cloud Computing Environments – An Experimental Exploration of the Impact of Storage Solutions and Data Breaches Patientenintegration durch Pfadsysteme Digitalisierung in der Stressprävention – eine qualitative Interviewstudie zu Nutzenpotenzialen User Dynamics in Mental Health Forums – A Sentiment Analysis Perspective Intent and the Use of Wearables in the Workplace – A Model Development Understanding Patient Pathways in the Context of Integrated Health Care Services - Implications from a Scoping Review Understanding the Habitual Use of Wearable Activity Trackers On the Fit in Fitness Apps: Studying the Interaction of Motivational Affordances and Users’ Goal Orientations in Affecting the Benefits Gained Gamification in Health Behavior Change Support Systems - A Synthesis of Unintended Side Effects Investigating the Influence of Information Incongruity on Trust-Relations within Trilateral Healthcare Settings Track 9: Krisen- und Kontinuitätsmanagement Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland Fake News Perception in Germany: A Representative Study of People’s Attitudes and Approaches to Counteract Disinformation Analyzing the Potential of Graphical Building Information for Fire Emergency Responses: Findings from a Controlled Experiment Track 10: Human-Computer Interaction Towards a Taxonomy of Platforms for Conversational Agent Design Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment Erfolgsfaktoren von Augmented-Reality-Applikationen: Analyse von Nutzerrezensionen mit dem Review-Mining-Verfahren Designing Dynamic Decision Support for Electronic Requirements Negotiations Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents Theory-Based Affordances of Utilitarian, Hedonic and Dual-Purposed Technologies: A Literature Review Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach The Role of Early User Participation in Discovering Software – A Case Study from the Context of Smart Glasses The Fluidity of the Self-Concept as a Framework to Explain the Motivation to Play Video Games Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods Track 11: Information Security and Information Privacy Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions To (Psychologically) Own Data is to Protect Data: How Psychological Ownership Determines Protective Behavior in a Work and Private Context Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market What is Your Selfie Worth? A Field Study on Individuals’ Valuation of Personal Data Justification of Mass Surveillance: A Quantitative Study An Exploratory Study of Risk Perception for Data Disclosure to a Network of Firms Track 12: Umweltinformatik und nachhaltiges Wirtschaften Kommunikationsfäden im Nadelöhr – Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt Potentiale und Herausforderungen der Materialflusskostenrechnung Computing Incentives for User-Based Relocation in Carsharing Sustainability’s Coming Home: Preliminary Design Principles for the Sustainable Smart District Substitution of hazardous chemical substances using Deep Learning and t-SNE A Hierarchy of DSMLs in Support of Product Life-Cycle Assessment A Survey of Smart Energy Services for Private Households Door-to-Door Mobility Integrators as Keystone Organizations of Smart Ecosystems: Resources and Value Co-Creation – A Literature Review Ein Entscheidungsunterstützungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy Digitale Rückverfolgbarkeit von Lebensmitteln: Eine verbraucherinformatische Studie Umweltbewusstsein durch audiovisuelles Content Marketing? Eine experimentelle Untersuchung zur Konsumentenbewertung nachhaltiger Smartphones Towards Predictive Energy Management in Information Systems: A Research Proposal A Web Browser-Based Application for Processing and Analyzing Material Flow Models using the MFCA Methodology Track 13: Digital Work - Social, mobile, smart On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work The Potential of Augmented Reality for Improving Occupational First Aid Prevent a Vicious Circle! The Role of Organizational IT-Capability in Attracting IT-affine Applicants Good, Bad, or Both? Conceptualization and Measurement of Ambivalent User Attitudes Towards AI A Case Study on Cross-Hierarchical Communication in Digital Work Environments ‘Show Me Your People Skills’ - Employing CEO Branding for Corporate Reputation Management in Social Media A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change The More the Merrier? The Effect of Size of Core Team Subgroups on Success of Open Source Projects The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance Digital Feedback for Digital Work? Affordances and Constraints of a Feedback App at InsurCorp The Effect of Marker-less Augmented Reality on Task and Learning Performance Antecedents for Cyberloafing – A Literature Review Internal Crowd Work as a Source of Empowerment - An Empirical Analysis of the Perception of Employees in a Crowdtesting Project Track 14: Geschäftsmodelle und digitales Unternehmertum Dividing the ICO Jungle: Extracting and Evaluating Design Archetypes Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective Business Model Innovation and Stakeholder: Exploring Mechanisms and Outcomes of Value Creation and Destruction Business Models for Internet of Things Platforms: Empirical Development of a Taxonomy and Archetypes Revitalizing established Industrial Companies: State of the Art and Success Principles of Digital Corporate Incubators When 1+1 is Greater than 2: Concurrence of Additional Digital and Established Business Models within Companies Special Track 1: Student Track Investigating Personalized Price Discrimination of Textile-, Electronics- and General Stores in German Online Retail From Facets to a Universal Definition – An Analysis of IoT Usage in Retail Is the Technostress Creators Inventory Still an Up-To-Date Measurement Instrument? Results of a Large-Scale Interview Study Application of Media Synchronicity Theory to Creative Tasks in Virtual Teams Using the Example of Design Thinking TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter Application of Process Mining Techniques to Support Maintenance-Related Objectives How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce Business Process Compliance and Blockchain: How Does the Ethereum Blockchain Address Challenges of Business Process Compliance? Improving Business Model Configuration through a Question-based Approach The Influence of Situational Factors and Gamification on Intrinsic Motivation and Learning Evaluation von ITSM-Tools für Integration und Management von Cloud-Diensten am Beispiel von ServiceNow How Software Promotes the Integration of Sustainability in Business Process Management Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry Special Track 3: Demos & Prototyping Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype Application-oriented robotics in nursing homes Augmented Reality for Set-up Processe Mixed Reality for supporting Remote-Meetings Gamification zur Motivationssteigerung von Werkern bei der Betriebsdatenerfassung Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype GaNEsHA: Opportunities for Sustainable Transportation in Smart Cities TUCANA: A platform for using local processing power of edge devices for building data-driven services Demonstrator zur Beschreibung und Visualisierung einer kritischen Infrastruktur Entwicklung einer alltagsnahen persuasiven App zur Bewegungsmotivation für ältere Nutzerinnen und Nutzer A browser-based modeling tool for studying the learning of conceptual modeling based on a multi-modal data collection approach Exergames & Dementia: An interactive System for People with Dementia and their Care-Network Workshops Workshop Ethics and Morality in Business Informatics (Workshop Ethik und Moral in der Wirtschaftsinformatik – EMoWI’19) Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research Die Mitarbeiter von morgen - Kompetenzen künftiger Mitarbeiter im Bereich Business Analytics Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati

Bioinspired metaheuristic algorithms for global optimization

This paper presents concise comparison study of newly developed bioinspired algorithms for global optimization problems. Three different metaheuristic techniques, namely Accelerated Particle Swarm Optimization (APSO), Firefly Algorithm (FA), and Grey Wolf Optimizer (GWO) are investigated and implemented in Matlab environment. These methods are compared on four unimodal and multimodal nonlinear functions in order to find global optimum values. Computational results indicate that GWO outperforms other intelligent techniques, and that all aforementioned algorithms can be successfully used for optimization of continuous functions

Experimental Evaluation of Growing and Pruning Hyper Basis Function Neural Networks Trained with Extended Information Filter

In this paper we test Extended Information Filter (EIF) for sequential training of Hyper Basis Function Neural Networks with growing and pruning ability (HBF-GP). The HBF neuron allows different scaling of input dimensions to provide better generalization property when dealing with complex nonlinear problems in engineering practice. The main intuition behind HBF is in generalization of Gaussian type of neuron that applies Mahalanobis-like distance as a distance metrics between input training sample and prototype vector. We exploit concept of neuron’s significance and allow growing and pruning of HBF neurons during sequential learning process. From engineer’s perspective, EIF is attractive for training of neural networks because it allows a designer to have scarce initial knowledge of the system/problem. Extensive experimental study shows that HBF neural network trained with EIF achieves same prediction error and compactness of network topology when compared to EKF, but without the need to know initial state uncertainty, which is its main advantage over EKF

Proceedings, MSVSCC 2011

Proceedings of the 5th Annual Modeling, Simulation & Visualization Student Capstone Conference held on April 14, 2011 at VMASC in Suffolk, Virginia. 186 pp

Adopting agile methodologies in distributed software development

From the second half of the '90s, some software engineering practitioners introduced a new group of software development methodologies called Agile Methodologies (Ams): they have been developed to overcome the limits of the traditional approaches in the software development. FLOSS (Free Libre Open Source Software) has been proposed as possible different solution to the software crisis that is afflicting the ICT worldwide business. If the AMs improve the quality code and allow to respond quickly to requirement changes, FLOSS approach decreases the development costs and increases the spreading of competences about the software products. A debate is shaping about the compatibility of these two approaches. Software development teams have been spreading around the world, with users in Europe, management in the USA and programmers in the USA and India. The scattering of team members and functions around the world introduces barriers to productivity, cultural and languages differences can lead to misunderstanding of requirements, time zone differences can delay project schedules. Agile methods can provide a competitive advantage by delivering early, simplifying communication and allowing the business to respond more quickly to the market by changing the software. Trying to distribute a development project in an agile way isn't easy and will involve compromises. The goal of this thesis is to determine the application of the AMs in several contexts so to define which of these can be used effectively in non traditional software projects as the distributed development

Adopting agile methodologies in distributed software development

From the second half of the '90s, some software engineering practitioners introduced a new group of software development methodologies called Agile Methodologies (Ams): they have been developed to overcome the limits of the traditional approaches in the software development. FLOSS (Free Libre Open Source Software) has been proposed as possible different solution to the software crisis that is afflicting the ICT worldwide business. If the AMs improve the quality code and allow to respond quickly to requirement changes, FLOSS approach decreases the development costs and increases the spreading of competences about the software products. A debate is shaping about the compatibility of these two approaches. Software development teams have been spreading around the world, with users in Europe, management in the USA and programmers in the USA and India. The scattering of team members and functions around the world introduces barriers to productivity, cultural and languages differences can lead to misunderstanding of requirements, time zone differences can delay project schedules. Agile methods can provide a competitive advantage by delivering early, simplifying communication and allowing the business to respond more quickly to the market by changing the software. Trying to distribute a development project in an agile way isn't easy and will involve compromises. The goal of this thesis is to determine the application of the AMs in several contexts so to define which of these can be used effectively in non traditional software projects as the distributed development

Methoden und Beschreibungssprachen zur Modellierung und Verifikation vonSchaltungen und Systemen: MBMV 2015 - Tagungsband, Chemnitz, 03. - 04. März 2015

Der Workshop Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV 2015) findet nun schon zum 18. mal statt. Ausrichter sind in diesem Jahr die Professur Schaltkreis- und Systementwurf der Technischen Universität Chemnitz und das Steinbeis-Forschungszentrum Systementwurf und Test. Der Workshop hat es sich zum Ziel gesetzt, neueste Trends, Ergebnisse und aktuelle Probleme auf dem Gebiet der Methoden zur Modellierung und Verifikation sowie der Beschreibungssprachen digitaler, analoger und Mixed-Signal-Schaltungen zu diskutieren. Er soll somit ein Forum zum Ideenaustausch sein. Weiterhin bietet der Workshop eine Plattform für den Austausch zwischen Forschung und Industrie sowie zur Pflege bestehender und zur Knüpfung neuer Kontakte. Jungen Wissenschaftlern erlaubt er, ihre Ideen und Ansätze einem breiten Publikum aus Wissenschaft und Wirtschaft zu präsentieren und im Rahmen der Veranstaltung auch fundiert zu diskutieren. Sein langjähriges Bestehen hat ihn zu einer festen Größe in vielen Veranstaltungskalendern gemacht. Traditionell sind auch die Treffen der ITGFachgruppen an den Workshop angegliedert. In diesem Jahr nutzen zwei im Rahmen der InnoProfile-Transfer-Initiative durch das Bundesministerium für Bildung und Forschung geförderte Projekte den Workshop, um in zwei eigenen Tracks ihre Forschungsergebnisse einem breiten Publikum zu präsentieren. Vertreter der Projekte Generische Plattform für Systemzuverlässigkeit und Verifikation (GPZV) und GINKO - Generische Infrastruktur zur nahtlosen energetischen Kopplung von Elektrofahrzeugen stellen Teile ihrer gegenwärtigen Arbeiten vor. Dies bereichert denWorkshop durch zusätzliche Themenschwerpunkte und bietet eine wertvolle Ergänzung zu den Beiträgen der Autoren. [... aus dem Vorwort