Search results for "source"
showing 10 items of 6139 documents
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection
2008
The multitemporal classification of remote sensing images is a challenging problem, in which the efficient combination of different sources of information (e.g., temporal, contextual, or multisensor) can improve the results. In this paper, we present a general framework based on kernel methods for the integration of heterogeneous sources of information. Using the theoretical principles in this framework, three main contributions are presented. First, a novel family of kernel-based methods for multitemporal classification of remote sensing images is presented. The second contribution is the development of nonlinear kernel classifiers for the well-known difference and ratioing change detectio…
Evaluation of the Use of a City Center through the Use of Bluetooth Sensors Network
2019
In order to achieve the objectives of Smart Cities, public administrations need to take measures to regulate mobility, which undoubtedly requires a high level of information and sensorization. Until the implementation of the connected vehicle takes place, it is still necessary to install sensors to obtain information about mobility. Bluetooth sensors are becoming a useful tool due to the low cost of equipment and installation. The use of Bluetooth sensors in cities, with short distances between sensors, makes it necessary to propose new classification algorithms that allow the trips of pedestrians and vehicles to be differentiated. This article presents the study carried out in the city of …
Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data
2021
Constrained joint analysis of data from multiple sources has received widespread attention for that it allows us to explore potential connections and extract meaningful hidden components. In this paper, we formulate a flexible joint source separation model termed as group nonnegative matrix factorization with sparse regularization (GNMF-SR), which aims to jointly analyze the partially coupled multi-set data. In the GNMF-SR model, common and individual patterns of particular underlying factors can be extracted simultaneously with imposing nonnegative constraint and sparse penalty. Alternating optimization and alternating direction method of multipliers (ADMM) are combined to solve the GNMF-S…
WSN Design and Verification Using On-Board Executable Specifications
2019
The gap between informal functional specifications and the resulting implementation in the chosen programming language is notably a source of errors in embedded systems design. In this paper, we discuss a methodology and a software platform aimed at coping with this issue in programming resource-constrained wireless sensor network nodes (WSNs). Whereas the typical development model for the WSNs is based on cross compilation, the proposed approach supports high-level symbolic coding of abstract models and distributed applications, as well as their test and their execution, directly on the target hardware. As a working example, we discuss the application of our methodology to specify the func…
Advanced C++11 Multithreading
2018
Abstract The previous chapter introduced the basic concepts of multithreading using the C++11 threading API starting with basic spawn and join approaches, while finishing with non-trivial synchronization based on mutexes and condition variables. However, the major bottleneck of application performance is usually caused by contention for a shared resource. In case of mutex-based programming all participating threads usually try to acquire the same lock in parallel which effectively serializes the program for lightweight operations such as increment/decrement or updates of a single scalar value. Fortunately, modern CPUs provide dedicated commands that allow for the efficient execution of unin…
Prelaunch assessment of worldview-3 information content
2014
The upcoming WorldView-3 satellite is designed to collect unique data by combining very-high spatial resolution (VHR) with observation bands in the short wave infrared (SWIR) in addition to the visible and near-infrared (VNIR) multispectral and panchromatic bands currently available on the VHR WorldView-2 system. These SWIR bands were specifically selected in order to target unique reflectance and absorption features presented by various surface materials and should, therefore, significantly improve the platforms information content for many image mining applications. This presentation explores the information content available to the WorldView-3 platform in two ways. First, second-order st…
Evaluation of a Visual Tool for Early Patent Infringement Detection During Design
2019
Patent infringement detection usually implies research among documents in different forms, in both natural and unstructured language, often involving a lot of human resources and time. In order to ease this patent check process, we previously presented a visual tool to be used by designers themselves at any stage of the design process, providing them with useful and reliable information for deciding whether to steer their design away from potential patent infringements. In this work, we report on a usability study carried out on such a tool with 21 professional designers from industry in the field of mechanical engineering. The outcome of our study shows that our tool is very well accepted …
Architecture of High Fidelity Simulation Tool for Crisis Management Training
2018
This paper addresses an ongoing project KriseSIM aiming at creating a virtual training tool for crisis management that should be realistic, flexible, scalable with highfidelity system architecture and user interface. Our goal is to accomplish high-level requirements developed through a codesign process with the crisis management stakeholders. In this paper, we describe a highfidelity training tool architecture, which follows the serious game design principles. The tool is designed as a resource management serious game genre, where the players will deal with limited resources and should respond based on various critical information flows. A preliminary result, i.e. the architecture and the t…
Enhancing Creativity: Using Visual Mnemonic Devices in the Teaching Process in Order to Develop Creativity in Students
2020
(1) Background: In the field of creativity studies there is always space for expansion and new conceptualizations of the methods involved. Therefore, we will present in this paper a brief arrangement of the methods used to enhance creativity and consider whether visual mnemonic devices can increase creativity. The devices are used in the teaching process in order to ease the remembering process by creating a visual representation. Visual mnemonic devices are techniques that increase creativity as part of their own performance. (2) Methods: We will use a quasi-experimental, nonequivalent group design, the procedure involving the use of visual mnemonic devices. (3) Results: The results show t…
Distributed Symbolic Network Quality Assessment for Resource-constrained Devices
2021
After a Wireless Sensor Network (WSN) is deployed it is subject to significant variations of the quality of its radio links during its lifetime. Knowledge of the condition of the wireless links can be useful to optimize power consumption and increase the reliability of the network. However, resource-constrained nodes may not be able to spare the storage space for network monitoring code. Also, reprogramming deployed nodes can be costly or unfeasible. In this work, we show how an approach based on the exchange of symbolic executable code among nodes enables the assessment of the network status in terms of Packet Reception Rate (PRR) with no extra storage requirements on deployed networks. We…