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The proliferation of tools for different aspects of cloud resource configuration processes encourages DevOps to design end-to-end and automated configuration processes that span across a selection of best-of-breed tools. But heterogeneities among configuration knowledge representation models of such tools pose vital limitations for acquisition, discovery and curation of configuration knowledge for...
Today, the crisis has worsened the panorama for Universities, placing new constraints that require being more sustainable economically. In addition, universities will also have to improve their research and teaching in order to obtain more research funds and attract more students. In this panorama, analytics can be a very useful tool since it allows academics (and university managers) to get a more...
In this study we want to connect our previously proposed context-relevant topographical maps with the deep learning community. Our architecture is a classifier with hidden layers that are hierarchical two-dimensional topographical maps. These maps differ from the conventional self-organizing maps in that their organizations are influenced by the context of the data labels in a top-down manner. In...
Recently, there has been significant progress towards lifelong, autonomous operation of mobile robots, especially in the field of localization and mapping. One important challenge in this context is visual localization under substantial perceptual changes, for example, coming from different seasons. In this paper, we present an approach to localize a mobile robot with a low frequency camera with respect...
The ability to collect and analyze large amounts of data is a growing problem within the scientific community. The growing gap between data and users calls for innovative tools that address the challenges faced by big data volume, velocity and variety. Numerous tools exist that allow users to store, query and index these massive quantities of data. Each storage or database engine comes with the promise...
In the context of large engineering projects the effective and efficient exchange and versioning of information from different engineering disciplines is essential. Semantic data integration approaches provide the necessary means to overcome the gap between heterogeneous local engineering tool concepts and common project-level concepts which enable the mapping of engineering data coming from different...
Human emotional expression tends to evolve in a structured manner in the sense that certain emotional evolution patterns, i.e., anger to anger, are more probable than others, e.g., anger to happiness. Furthermore the perception of an emotional display can be affected by recent emotional displays. Therefore, the emotional content of past and future observations could offer relevant temporal context...
Thanks to a remarkably great ability to show amusement and engagement, laughter is one of the most important social markers in human interactions. Laughing together can actually help to set up a positive atmosphere and favors the creation of new relationships. This paper presents a data collection of social interaction dialogs involving humor between a human participant and a robot. In this work,...
This paper focuses on using bigrams in a topic determination for speech synthesizer. It contains an explanation of a modular architecture for the speech synthesizer and importance of context analysis for customizing and quality enhancement of synthesized speech. The bigram carries information about context and in this work it is shown how to use them to improve the identification of the theme. At...
This paper discusses an approach to information management and evidence based reasoning in the realm of hazardous contamination, particularly humanitarian demining. It proposes a system called HAIMS (Hazard Information Management System) to support the user when classifying and ranking the priority for further information gathering and/or operations (operations in this context can be mine clearance,...
Resolving ambiguous and unknown identities is crucial to intelligence analysis in which fraud and deceptive names are frequently used by criminals and terrorists to make their activities unnoticeable. Typical approaches rely on the similarity measure of textual and other content-based characteristics, which are usually not applicable in the case of falsely-defined and unknown instances. This barrier...
This article leads the concept of data visualization into the huge amounts of news data, design and implements a system of News Data Visual System (NDVS). It is a news gathering, analysis, structured storage and visual analysis system. NDVS collects news data in the schedule time from seeds website by a web spider that written by java every day. The structured documents that processed and analyzed...
As the number of IoT devices explodes, we observe numerous IoT platforms which enables us to build applications, manage, and integrate things connected to the Internet. We identify key technologies embedded in contemporary IoT platforms as follows: virtualization, restful API, database for history, visualization, and mash up. Most IoT platforms are heavy-weight in terms of software or hardware and...
As scientific discovery becomes increasingly data-driven, software platforms are needed to efficiently organize and disseminate data from disparate sources. This is certainly the case in the field of materials science. For example, Materials Project has generated computational data on over 60,000 chemical compounds and has made that data available through a web portal and REST interface. However,...
Systems-of-systems (SoS) represent a class of systems resulted from the interaction among independent systems that cooperate to form a larger and more complex system aiming at accomplishing global missions. An inherent characteristic of SoS is the high heterogeneity of their constituent systems, which are distributed, independent, and developed with different technologies. In addition, SoS are highly...
The Grid and Cloud User Support Environment (gUSE) enables users convenient and easy access to grid and cloud infrastructures by providing a general purpose, workflow-oriented graphical user interface to create and run workflows on various Distributed Computing Infrastructures (DCIs). Its arrangements for creating and modifying existing workflows are, however, non-intuitive and cumbersome due to the...
Today, smart objects in Internet of Things (IOT) are able to detect their state and share it with other objects across the Internet, thus collaboratively making intelligent decisions on their own. Large number of objects is quietly introduced into the web every day. It is impossible for a user to keep a track of all objects available around him. Therefore a search engine that could find smart objects...
Recently α-cut irreducible and δ1δ2-multi-adjoint concept lattices have been introduced as two different methodologies focus on reducing the size of a given fuzzy concept lattice. The philosophy of both methodologies is completely different and so, the obtained lattices too. This paper analyzes the differences and proposes that the best is to combine both methodologies in order to obtain new procedures...
This paper explores the organization of provenance as a catalogue of non-functional requirement. The aim of this paper is to introduce a systematic approach to design a provenance catalogue for reuse using consolidated software engineering techniques. Provenance captures a derivation history of data products and is essential to the long-term preservation, to reuse, and to determine data quality. We...
Big Data Era brings two main dimensions, which are heterogeneity and contextual data. The heterogeneity may occur at syntax and semantic levels. Ontologies are largely used to reduce these heterogeneities. Data has limited value if not paired with its context. Usually the internal data of companies are not connected to the rest of data universe including news, weather, user profiles, etc. In Engineering...
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