Search results for "Software"
showing 10 items of 7396 documents
A Hybrid Virtual-Augmented Serious Game to Improve Driving Safety Awareness
2018
The use of 3D virtual content and Augmented Reality (AR) in certain applications allows designing tools and serious games that are more attractive to the potential users. Focusing on the area of learning and education, these technologies can be adapted to the requirements of the application that needs to be developed, to the available devices on which they are expected to run and also to the learning content. However, in most applications only a single interaction paradigm and a single visualization mode is used, restricting the potential benefits of the system. In this paper, we propose a software application designed to improve driving safety awareness and learning for both adults and chi…
Architecture Enabling Adaptation of Data Integration Processes for a Research Information System
2018
Abstract Today, many efforts have been made to implement information systems for supporting research evaluation activities. To produce a good framework for research evaluation, the selection of appropriate measures is important. Quality aspects of the systems’ implementation should also not be overlooked. Incomplete or faulty data should not be used and metric computation formulas should be discussed and valid. Correctly integrated data from different information sources provide a complete picture of the scientific activity of an institution. Knowledge from the data integration field can be adapted in research information management. In this paper, we propose a research information system f…
Towards the definitive evaluation framework for cross-platform app development approaches
2019
Abstract Mobile app development is hindered by device fragmentation and vendor-specific modifications. Boundaries between devices blur with PC-tablet hybrids on the one side and wearables on the other. Future apps need to support a host of app-enabled devices with differing capabilities, along with their software ecosystems. Prior work on cross-platform app development concerned concepts and prototypes, and compared approaches that target smartphones. To aid choosing an appropriate framework and to support the scientific assessment of approaches, an up-to-date comparison framework is needed. Extending work on a holistic, weighted set of assessment criteria, we propose what could become the …
AN AGENT BASED ARCHITECTURE FOR MANUFACTURING E-MARKETPLACES
2005
This chapter presents the Agent Based Architecture developed within the research project, titled "Process and Production Planning in manufacturing Enterprise Networks". As mentioned in Chapter 1, the architecture has been developed to support “added value services” in neutral linear e-marketplaces, i.e. in virtual districts. In this chapter the architecture will be described from a functional and dynamic point of view by using the formalisms used in the project. In particular, from a functional perspective, the architecture is described by using the IDEF0 formalism, while its dynamics are specified by UML activity diagrams.
Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets
2021
International audience; With the Internet's unprecedented growth and nations' reliance on computer networks, new cyber‐attacks are created every day as means for achieving financial gain, imposing political agendas, and developing cyberwarfare arsenals. Network security is thus acquiring increasing attention among researchers, practitioners, network architects, policy makers, and others. To defend organizations' networks from existing, foreseen, and future threats, intrusion detection systems (IDSs) are becoming a must. Existing surveys on anomaly‐based IDS (AIDS) focus on specific components such as detection mechanisms and lack many others. In contrast to existing surveys, this article co…
Arbiter Meta-Learning with Dynamic Selection of Classifiers and its Experimental Investigation
1999
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classification result. Recently promising approaches using parallel and distributed computing have been presented. In this paper, we consider an approach that uses classifiers trained on a number of data subsets in parallel as in the arbiter meta-learning technique. We suggest that information is collected during the learning phase about the performance of the included base classifiers and arbiters and that this information is used during the application phase to select the best classifier dynamically. We evaluate our techn…
Prediction of Temperature in Buildings Using Machine Learning Techniques
2017
Energy efficiency is a trend due to ecological and economic benefits. Within this field, energy efficiency in buildings sector constitutes one of the main concerns due to the fact that approximately 40% of total world energy consumption corresponds to this sector. Climate control in buildings has the potential to increase its energy efficiency planning strategies for the heating, ventilation and air conditioning (HVAC) machines. These planning strategies may include a stage for long term indoor temperature forecasting. This chapter entails the use of four prediction models (NAÏVE, MLR, MLP, FIS and ANFIS) to forecast temperature in an office building using a temporal horizon of several hour…
Correction to: Formalizing Natural Languages with NooJ 2018 and Its Natural Language Processing Applications
2019
Using Attribute Grammars for Description of Inductive Inference Search Space
1998
The problem of practically feasible inductive inference of functions or other objects that can be described by means of an attribute grammar is studied in this paper. In our approach based on attribute grammars various kinds of knowledge about the object to be found can be encoded, ranging from usual input/output examples to assumptions about unknown object's syntactic structure to some dynamic object's properties. We present theoretical results as well as describe the architecture of a practical inductive synthesis system based on theoretical findings.
Use of H.264 real-time video encoding to reduce display wall system bandwidth consumption
2015
This paper compares the DXT and JPEG image compression techniques used in display wall solutions SAGE and DisplayCluster with hardware accelerated H.264 video encoding that is used in the display wall system developed by the authors of this paper. The obtained processing power usage and generated bandwidth measurements presented in this paper demonstrate that hardware accelerated H.264 encoding offers multiple benefits over software implemented H.264, DXT and JPEG.