1,720,984 research outputs found
Extending OpenVX for Model-based Design of Embedded Vision Applications
Full text linkDeveloping computer vision applications for lowpower heterogeneous systems is increasingly gaining interest in the embedded systems community. Even more interesting is the tuning of such embedded software for the target architecture when this is driven by multiple constraints (e.g., performance, peak power, energy consumption). Indeed, developers frequently run into system-level inefficiencies and bottlenecks that can not be quickly addressed by traditional methods. In this context OpenVX has been proposed as the standard platform to develop portable, optimized and powerefficient applications for vision algorithms targeting embedded systems. Nevertheless, adopting OpenVX for rapid prototyping, early algorithm parametrization and validation of complex embedded applications is a very challenging task. This paper presents a methodology to integrate a model-based design environment to OpenVX. The methodology allows applying Matlab/Simulink for the model-based design, parametrization, and validation of computer vision applications. Then, it allows for the automatic synthesis of the application model into an OpenVX description for the hardware and constraints-aware application tuning. Experimental results have been conducted with an application for digital image stabilization developed through Simulink and, then, automatically synthesized into OpenVX-VisionWorks code for an NVIDIA Jetson TX1 boar
Automatic Customization of Device Drivers for IP-cores Used with Assorted CPU Organizations
No full textPlugging an IP core into an embedded platform implies the generation of a device driver complying with the IP communication protocol from one side and with the CPU organization (i.e., single processor, SMP, AMP) from the other side. Reusing an existent driver developed for a different CPU organization needs a time-consuming and error-prone manual customization of it, that discourages the evaluation of alternative target platform organizations. In this context, the paper firstly proposes to extract the formal model of the IP communication protocol from the RTL testbench provided with it. Then a taxonomy of device drivers is presented based on the CPU organization of the platform. This taxonomy allows to select the correct template used to automatically generate a device driver compliant with the CPU organization, with the use in a simulated or in a real platform, with the interrupt support, with the operating system, with the I/O architecture and with the possible parallel execution. The proposed methodology has been successfully tested on a family of embedded platforms with different CPU organizations
A scoring methodology for an integrated network of non-coding RNAs and genetic diseases
No full textThe deregulation of non-coding RNAs (ncRNAs) has a functional role in cancer and other human disorders [1, 2]. Reconstructing and visualizing networks of ncRNAs interactions with diseases and candidate targeting genes is important to understand their regulatory mechanism in complex cellular systems. Within ncRNA-DB [3], we have recently imported and integrated associations among non-coding RNAs, protein coding genes, and associated diseases from ten on-line databases. Up to date it contains about 300 thousands associations. To improve the usability of such a complex integrated system, it has to be equipped with a methodology leading users to weight the connections linking the ncRNAs to genes and to diseases.
We elaborate a scoring methodology based on literature mining, network analysis, and alignment-free sequence algorithms, to rank the ncRNA-disease and ncRNA-gene associations reported in ncRNA-DB. The Lit-Score takes into account the frequencies of co-occurrence in PubMed and in ncRNA-DB of the pairs ncRNA-gene, ncRNA-disease, and gene-disease
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
An Efficient Implementation of a Subgraph Isomorphism Algorithm for GPUs.
Full text linkThe subgraph isomorphism problem is a computational task that applies to a wide range of today's applications, ranging from the understanding of biological networks to the analysis of social networks. Even though different implementations for CPUs have been proposed to improve the efficiency of such a graph search algorithm, they have shown to be bounded by the intrinsic sequential nature of the algorithm. More recently, graphics processing units (GPUs) have become widespread platforms that provide massive parallelism at low cost. Nevertheless, parallelizing any efficient and optimized sequential algorithm for subgraph isomorphism on many-core architectures is a very challenging task. This article presents
, a parallel implementation of the subgraph isomorphism algorithm for GPUs. Different strategies are implemented in
to deal with the space complexity of the graph searching algorithm, the potential workload imbalance, and the thread divergence involved by the non-homogeneity of actual graphs. The paper presents the results obtained on several graphs of different sizes and characteristics to understand the efficiency of the proposed approach
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
A containerized ROS-compliant verification environment for robotic systems
No full textThis paper proposes an architecture and a related automatic flow to generate, orchestrate and deploy a ROS-compliant verification environment for robotic systems. The architecture enables assertion-based verification by exploiting monitors automatically synthesized from LTL assertions. The monitors are encapsulated in plug-and-play ROS nodes that do not require any modification to the system under verification (SUV). To guarantee both verification accuracy and real-time constraints of the system in a resource-constrained environment even after the monitor integration, we define a novel approach to move the monitor evaluation across the different layers of an edge-to-cloud computing platform. The verification environment is containerized for both cloud and edge computing using Docker to enable system portability and to handle, at run-time, the resources allocated for verification. The effectiveness and efficiency of the proposed architecture have been evaluated on a complex distributed system implementing a mobile robot path planner based on 3D simultaneous localization and mapping
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