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Indoor robot localization systems using wireless signal measurements have gained popularity in recent years, as wireless Local Area Networks can be found practically everywhere. In this field, a popular approach is the use of fingerprinting techniques, such as Gaussian Processes. In our approach, we improve Gaussian Processes based mapping using path loss models as priors. Path loss models encode...
As mobile software development becomes more mainstream, universities recognize a need to integrate mobile platform programming into the curriculum. This integration requires an understanding of mobile software development that defines it not just as a collection of topics but that acknowledges cross-topic areas that serve as the basis for specific interests. This paper presents a platform-agnostic...
Traditional cognitive radio network is considerably constrained in the spectrum sensing and the access by its limited power, memory and computational capacity. Fortunately, the advent of cloud computing bring the potential to mitigate these constraints due to its vast storage and computational capacity. This paper focuses on the cloud-based cognitive radio spectrum access strategy and provides an...
In this paper we present a new estimation algorithm that allows for the combination of information from any number of process and measurement models. This adds more flexibility to the design of the estimator and in our case avoids the need for state augmentation. We achieve this by adapting the maximum likelihood formulation of the Kalman Filter, and thereby represent all measurement models as residuals...
This paper proposes a meet-in-the-middle approach for the modeling and simulation of heterogeneous systems. The starting point is a set of heterogeneous models, developed by adopting the designer's favorite design language and formalism. The methodology exploits automatic translation, abstraction and integration flows to generate a single homogeneous system-level description, that allows fast system...
Future Advanced Driver Assistance Systems (ADAS) require the continuous computation of detailed maps of the vehicle's environment. Due to the high demand of accuracy and the enormous amount of data to be fused and processed, common architectures used today, like single-core processors in automotive Electronic Control Units (ECUs), do not provide enough computing power. Here, emerging embedded multi-core...
This paper represents the implemented model of electronic control system based on the concept of Internet of Things. The current state of information and communication networks, its perspectives and concepts of development were characterized. Components for deploying Internet of Things networks such as communication technology, controllers, reader equipment and identification devices, have been identified...
In this paper we have developed a Telemedicine model with portable tool kit for remote patients to collect vital signs of patients which are used for Telemedicine services. This developed system is low cost, portable, and easily maintainable and can be integrated with any complex health system. We have used the GNU health where local doctors can communicate with a low cost terminal. Expert doctors...
In this paper, we present the "Slow Start Problem" in participatory sensing applications where a service is provided based on data collected by participants. The slow start problem refers to the initial stage in participatory sensing service deployment, during which service adoption remains sparse and, hence, the collected data does not offer adequate coverage. Predictive models, learned...
This paper presents a new method to estimate 2D displacement based on the step-and-heading algorithm for three indoor motion modes: walking, jogging and running. Inertial measurement unit (IMU) is utilized for heading estimation based on indirect Kalman filter and for step detection as well. The IMU is placed at the lower back and an inverted pendulum is exploited to model the walking pattern, and...
in recent years, mobile phone sensing applications has been regarded as new paradigm to obtain ubiquitous environment data. Research on motivating smart phone users to participate in mobile sensing contributing their resources and maximizing the profit of platform is in full swing. Unfortunately, the location-based optimal task assignment problem in mobile sensing is an NP-hard problem. We transform...
The Portuguese Meteorological Institute (IPMA) has been exploiting a Lightning Detection Network (LDN) since June 2002, with 4 sensors in mainland Portugal operating in integration with 5 more Spanish sensors since January 2003, in cooperation with the Agencia Estatal de Meteorologia (AEMET, Spain). A study based on 13 years of lightning data is presented using Cloud-to-Ground (CG) flash density maps...
Active sensing has been the preferred technique for sediment classification to identify underwater objects and characterization of bottom type. The performance of the sediment classification techniques depends on the underwater channel fluctuations and the signal design of the probing signal. The multiple interaction of the probing signal, with the surface, volume and the bottom of the underwater...
Due to the positive effects concerning comfort, economic and ecologic reasons, building automation systems are increasingly integrated into nowadays buildings. Furthermore the investigations in cyber physical systems and the internet of things blur the line between the originally separate systems and lead to smart buildings cooperatively operated together with non-building automation systems. The...
In this paper a model of an extended BDI (EBDI) agent with autonomous entities and an architecture of the EBDI agent are introduced. The architecture consists of a beliefs module, a desires module, a decision generation module, an integration module, and a group of autonomous entities. In order to represent EBDI agent's mental attitudes (beliefs, desires, and intentions), we define L_m language of...
To reduce the gap between high-level functional descriptions and real-time multitasking implementation, this paper proposes a set of modeling and code generation principles. Modeling principles are based on integration of a specific BIP concurrent component. This component follows a specific behavioral pattern based on periodic activation of data consumption, data processing and data production. It...
Multi-channel access and spectrum agility represent significant challenges to temporal occupancy modelling for compliance enforcement of individual users/networks in opportunistic spectrum access (OSA) scenarios. In previous work, temporal occupancy estimation within spectrum bands was examined, when there was no requirement to track individual user/network behaviors. This approach was in line with...
With the bloom of data generation devices at the network-edge, obtaining data intelligence in real-time posed problems due to network incompetence. In this paper we present a novel computation model based on Fog computing that take advantage of its low latency computing capabilities. A proof of concept is designed on top of the computation model as a layered system architecture that consists of sensors...
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...
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