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On the Internet of the future, billions of physical objects will collect and exchange data that will be stored in the Cloud Computing. A bad storage structure of big data has a negative influence on the latency time during the client's requests. To solve this problem, we have proposed an Infrastructure as a Service (IaaS) for the input and the output of different files on servers' clusters. We have...
The emerging paradigm for dynamic spectrum sharing is based on allowing secondary users (SUs) to exploit white space frequency that is not occupied by primary users. White space database provides an opportunity for SUs to obtain spectrum availability information by submitting a location-based query. However, this new paradigm can also be exploited by the attackers to significantly enhance their jamming...
It has been shown that local magnetic field (MF) anomalies can be used in accurate global self-localisation with fingerprinting. However, MF anomalies can only affect limited areas, and the low discernibility of received local MF signals may result in many positions having the same MF-Location information in areas far away from disturbances. This is mainly due to the sensitivity limitations of sensors...
Target localization and tracking have the inseparable connection. On the one hand, localization is the basis of tracking. On the other hand, tracking can provide localization with prior information to correct the error of localization to some extent. At the same time, making the monitoring area be the grid area can let the localization and tracking system easy to be applied to different monitoring...
Cooperative Intelligent Transportation Systems (CITS) are being developed to make road traffic safer and more efficient. Vehicle to vehicle (V2V) communication plays an important role for the cooperative awareness of vehicles in all the CITS standards in EU, US, and Japan. Essentially the CITS application relies on the exchanged data by V2V messages (called Cooperative Awareness Message (CAM) in EU)...
While indoor localization techniques based on Wi-Fi RSS measurements have been extensively studied, their application to eavesdropping Wi-Fi probe requests sent from mobile devices in large indoor environments, such as shopping malls, is scarce or absent in the literature. The idea behind this work is to observe Wi-Fi enabled smartphones, especially when they are not associated to a network. They...
Kinect v2 provides depth images with reduced noises and holes, which simplifies the pre-processing of eliminating noises and filling holes. This also allows us to detect the moving object with the depth information of Kinect v2 without resorting to RGB image. Based on this a fast moving object detection method for Kinect v2 is presented in this paper. Our method performs very quickly while extracting...
The pilot real-time perception of the external terrain environment is improved to avoid the collision of civil aircraft. The Synthetic Vision System(SVS) using the three-dimensional(3D) computer image generation technology is applied to provide pilots with surrounding terrain image and comprehensive information display. During the flight, a quick, accurate and effective technology of invocation of...
Motivated by the need to regulate and regularly inspect construction sites, we developed a real-time robust drone system that performs site inspection and violation detection in construction sites. The proposed system uses the drone to inspect and monitor numerous types of construction sites remotely from any control station or a nearby locations. Our drone system was developed as an entry to participate...
Due to forgetfulness, people with dementia need assistive technologies for managing medications. In this paper we present a Kinect-based smart system for unobtrusive medication adherence monitoring of people with memory-degrading conditions. Unlike existing pill dispensers, our system not only reminds a patient on time of medicine intake and provides the corresponding medication dose, but also vocally...
Low cost RGB-D cameras are gaining significant popularity in surveillance scenarios. While RGB images contain good quality discriminative information, depth images captured in uncontrolled environment at a distance does not provide accurate depth map. In this research, we present a learning based reconstruction and mapping algorithm to generate a feature rich representation from the RGB images. These...
In this paper we propose a new adaptive learning framework that classifies learner's based on individual preferences in terms of understanding and processing information. This framework generates learner's learning style based on Felder Silverman learning style model and suggest learning content based on learning style. The paper outlines how the system allows instructors to monitor learner's learning...
It is well known that the intensive care unit (ICU) is mainly utilized in the medical field. Recently, it has been extended in power industry. For example, the ICU on the transformer can detect the potential defects. Combined with multiple monitoring systems along with the experience of operators, the evolution of the defect can be well determined. Hence, the failure can be effectively prevented....
Creating autonomy for maritime vehicles that allows multiple developers and users to quickly integrate and develop capabilities is a difficult process. Multiple examples of autonomy exist; however, creating an environment that is modular and expandable is not often a goal of many autonomous systems. This work presents an advanced Autonomous Vehicle Architecture (AVA) for maritime systems that was...
Demographic change in the next few years will lead to a pronounced disparity in generation distribution. Hence there is a need to develop intelligent systems to support and maintain the autonomy of the elderly at home. A high priority in this case assumes the preparation-free acquisition of vital signs and patient parameters in long-term monitoring systems to detect early changes or deterioration...
World wide data infrastructure has increased in dimension and complexity due to consolidation, centralization and virtualization trends during the last 10 years. The enlargement of cloud services from data centers, the possibility of connecting different types of devices (Internet of Things) and the policy of authorizing employees to bring personally owned mobile devices to their work sites to access...
The paper proposes a distributed architecture to monitor spectrum occupancy status through the use of Software Defined Radios (SDRs). Such a monitoring process is useful in order to fulfill a geolocation database, whose consultation is a mandatory task for license-exempt devices operating under the IEEE 802.22 standard rules. Moreover, the system is thought for a dual use scenarios: it can be enforced...
In this paper we analyse the variation of the gesture recognition accuracy of several time series classifiers, based on input provided by two different sensors: Kinect for XBox 360 (Kinect 1) and its improved, newer version, Kinect for XBox One (Kinect 2). This work builds upon a previous study analysing classifiers' performance on pose recognition, considering multiple factors, such as the machine...
In distributed sensing systems that use compressed videos for video analysis tasks, the lossy compression of videos can damage the accuracy of object detection, which is an essential step for various vision applications. This paper aims at constructing a new quality model to predict the performance of object detection. To achieve this goal, a distorted video database is constructed by applying object...
A novel method for binaural source localization using a HRTF data model with enhanced frequency diversity is proposed in this work. The method proposed herein is developed in the frequency domain and enhances the directional information in the sound signal for efficient broad band sound source localization even under conditions of low SNR. The directional information is enhanced by cancelling the...
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