Search results for "Real"
showing 10 items of 4449 documents
Developing design knowledge and a conceptual model for virtual reality learning environments
2021
This chapter focuses on applying design science research for virtual reality learning environment (VRLE) design processes. Six selected case studies are presented in the context of VRLEs. The case selections were analyzed in terms of their contributions to design knowledge. The objective of this book chapter is twofold: 1) for researchers, the design knowledge contributions of case studies are highlighted for future reference, and 2) for developers and practitioners, design principles are presented for the development of VRLEs. The final outcome of the present study is a conceptual model describing the current design knowledge in the field of VRLEs and identifying the research gaps that sho…
A Non-Stationary Channel Model for the Development of Non-Wearable Radio Fall Detection Systems
2018
The emerging non-wearable fall detection systems rely on processing radio waves reflected off the body of the home user who has no active interaction with the system, increasing the user privacy and acceptability. This paper proposes a nonstationary channel model that is important for the development of such systems. A three-dimensional stochastic trajectory model is designed to capture targeted mobility patterns of the home user. The model is featured with a forward fall mechanism, which is actuated at a random point along the path. A transmitter emits radio waves throughout an indoor propagation environment, while a receiver collects fingerprints of the scattering objects on the emitted w…
Efficient FPGA Implementation of an Adaptive Noise Canceller
2006
A hardware implementation of an adaptive noise canceller (ANC) is presented. It has been synthesized within an FPGA, using a modified version of the least mean square (LMS) error algorithm. The results obtained so far show a significant decrease of the required gate count when compared with a standard LMS implementation, while increasing the ANC bandwidth and signal to noise (S/N) ratio. This novel adaptive noise canceller is then useful for enhancing the S/N ratio of data collected from sensors (or sensor arrays) working in noisy environment, or dealing with potentially weak signals.
Real Time Image Rotation Using Dynamic Reconfiguration
2002
Abstract Field programmable gate array (FPGA) components are widely used nowdays to implement various algorithms, such as digital filtering, in real time. The emergence of dynamically reconfigurable FPGAs made it possible to reduce the number of necessary resources to carry out an image-processing task (tasks chain). In this article, an image-processing application, image rotation, that exploits the FPGAs dynamic reconfiguration method is presented. This paper shows that the choice of an implementation, static or dynamic reconfiguration, depends on the nature of the application. A comparison is carried out between the dynamic and the static reconfiguration using two criteria: cost and perfo…
A modeling study suggesting how a reduction in the context-dependent input on CA1 pyramidal neurons could generate schizophrenic behavior.
2011
The neural mechanisms underlying schizophrenic behavior are unknown and very difficult to investigate experimentally, although a few experimental and modeling studies suggested possible causes for some of the typical psychotic symptoms related to this disease. The brain region most involved in these processes seems to be the hippocampus, because of its critical role in establishing memories for objects or events in the context in which they occur. In particular, a hypofunction of the N-methyl-D-aspartate (NMDA) component of the synaptic input on the distal dendrites of CA1 pyramidal neurons has been suggested to play an important role for the emergence of schizophrenic behavior. Modeling st…
2D virtual texture on 3D real object with coded structured light
2008
Augmented reality is used to improve color segmentation on human body or on precious no touch artifacts. We propose a technique to project a synthesized texture on real object without contact. Our technique can be used in medical or archaeological application. By projecting a suitable set of light patterns onto the surface of a 3D real object and by capturing images with a camera, a large number of correspondences can be found and the 3D points can be reconstructed. We aim to determine these points of correspondence between cameras and projector from a scene without explicit points and normals. We then project an adjusted texture onto the real object surface. We propose a global and automat…
Unmanned Aerial Vehicle-Based Non Destructive Diagnostics
2018
The paper proposes a cloud platform for analyzing the radiometric infrared videos uploaded by drones which patrol large photovoltaic plants. Thanks to artificial vision algorithms, it does not require any human support to select and associate the framed PV modules to the corresponding ones in the topology of the photovoltaic plant. The algorithm implements an innovative diagnostic protocol, which evaluates the thermal state of the photovoltaic module, whichever the environmental conditions are. The data automatically computed and collected in a multimedia database provide the O&M technicians with significant information to monitor the ageing of each module of the photovoltaic plant. The pro…
A Kalman Filter Approach for Distinguishing Channel and Collision Errors in IEEE 802.11 Networks
2008
In the last years, several strategies for maximizing the throughput performance of IEEE 802.11 networks have been proposed in literature. Specifically, it has been shown that optimizations are possible both at the medium access control (MAC) layer, and at the physical (PHY) layer. In fact, at the MAC layer, it is possible to minimize the channel waste due to collisions and backoff expiration times, by tuning the minimum contention window as a function of the network congestion level. At the PHY layer, it is possible to improve the transmission robustness, by selecting a suitable modulation/coding scheme as a function of the channel quality perceived by the stations. However, the feasibility…
«Motion Estimation Accelerator with User Search Strategy in an RVC Context»
2009
Motion estimation represents a key module in video compression. The RVC context requires proposing a flexible solution for motion estimation. According to the nature of the application, a full search is sometimes not suitable, hence, alternative fast/reduced solutions should be considered. This paper proposes a model and implementation of a flexible motion estimation engine, which can be configured to support any user-defined search strategy. Typically, the computational requirements of the search strategy can be traded with the RD-performance of the obtained video encoder. A CAL dataflow description of the accelerator is proposed so that it can be easily handled in the RVC context. An auto…
Enter the Serious E-scape Room: A Cost-Effective Serious Game Model for Deep and Meaningful E-learning
2019
Escape rooms are a phenomenon that has taken the world by storm in the last decade. Simultaneously Virtual Reality is a promising technology for innovation in education, training and e-learning. Combining these two concepts, this paper outlines a new model for designing serious games in virtual reality environments for high quality, deep and meaningful learning, the Serious E-scape Room. It describes the theoretical grounding, general guidelines and principles of the model. It also presents the case study “Room of Keys”, a serious virtual escape room for biology concepts. To test the assumptions of the model, researchers conducted a mixed research study with 148 students in a US high school…