Planning of Intellectual Robot Actions in Real Time

In article the mathematical model of the mobile robot actions planning at recognition of situations in extreme conditions of functioning is offered. The purpose of work is reduced to formation of a concrete plan of the robot actions by extrapolation of a situation and its concrete definition with the account a priori unpredictable features of current conditions.

Video anomaly detection in real-time on a Power-Aware Heterogeneous Platform

FPGAs and GPUs are often used when real-time performance in video processing is required. An accelerated processor is chosen based on task-specific priorities (power consumption, processing time and detection accuracy), and this decision is normally made once at design time. All three characteristics are important, particularly in battery-powered systems. Here we propose a method for moving selection of processing platform from a single design-time choice to a continuous run time one.We implement Histogram of Oriented Gradients (HOG) detectors for cars and people and Mixture of Gaussians (MoG) motion detectors running across FPGA, GPU and CPU in a heterogeneous system. We use this to detect illegally parked vehicles in urban scenes. Power, time and accuracy information for each detector is characterised. An anomaly measure is assigned to each detected object based on its trajectory and location, when compared to learned contextual movement patterns. This drives processor and implementation selection, so that scenes with high behavioural anomalies are processed with faster but more power hungry implementations, but routine or static time periods are processed with power-optimised, less accurate, slower versions. Real-time performance is evaluated on video datasets including i-LIDS. Compared to power-optimised static selection, automatic dynamic implementation mapping is 10% more accurate but draws 12W extra power in our testbed desktop system.

Performance Analysis of IP based WSNs in real time systems

Wireless sensor networks (WSNs) are the key enablers of the internet of things (IoT) paradigm. Traditionally, sensor network research has been to be unlike the internet, motivated by power and device constraints. The IETF 6LoWPAN draft standard changes this, defining how IPv6 packets can be efficiently transmitted over IEEE 802.15.4 radio links. Due to this 6LoWPAN technology, low power, low cost micro- controllers can be connected to the internet forming what is known as the wireless embedded internet. Another IETF recommendation, CoAP allows these devices to communicate interactively over the internet. The integration of such tiny, ubiquitous electronic devices to the internet enables interesting real-time applications. This thesis work attempts to evaluate the performance of a stack consisting of CoAP and 6LoWPAN over the IEEE 802.15.4 radio link using the Contiki OS and Cooja simulator, along with the CoAP framework Californium (Cf). Ultimately, the implementation of this stack on real hardware is carried out using a raspberry pi as a border router with T-mote sky sensors as slip radios and CoAP servers relaying temperature and humidity data. The reliability of the stack was also demonstrated during scalability analysis conducted on the physical deployment. The interoperability is ensured by connecting the WSN to the global internet using different hardware platforms supported by Contiki and without the use of specialized gateways commonly found in non IP based networks. This work therefore developed and demonstrated a heterogeneous wireless sensor network stack, which is IP based and conducted performance analysis of the stack, both in terms of simulations and real hardware.

Studio del danno indotto dalla detonazione e della temperatura media di pistoni in lega di alluminio e sviluppo di un modello analitico per il calcolo in Real-Time della temperatura dei gas di scarico

In campo motoristico, negli ultimi anni, la ricerca si è orientata allo studio approfondito dell'efficienza di combustione, individuandone in primo luogo i principali aspetti limitanti. Primo tra tutti la detonazione che, essendo dannosa per i componenti del motore (e in particolare quelli della camera di combustione), è adesso al centro di molti studi. L'obiettivo è di conoscerla a fondo in modo da poterne arginare gli effetti. Questa tesi si colloca in un ampio progetto volto a perseguire tale risultato. Infatti, lo studio del danno che viene indotto sui componenti della camera di combustione (i pistoni in particolare), della sua morfologia, della localizzazione prevalente e i principali parametri ai quali esso risulta correlabile, fanno parte dell'attività sperimentale esposta in questo lavoro. Essa si concentra inoltre sul degrado termico della lega dei pistoni a seguito di prove a banco sul motore, che si pongono l'obiettivo di provocare elevati livelli di detonazione e su eventuali benefici che derivano dal poterne accettare episodi di entità incipiente. A tale proposito, viene esposto e validato un modello di temperatura dei gas di scarico Real Time, tramite il quale è possibile calcolare la temperatura di essi una volta noto il punto motore.

Role of MT1-MMP in cancer dissemination : insights from the real time imaging of tumors

Abstract : Matrix metalloproteinases (MMPs) are thought to play a major role in the tumor dissemination process as they degrade all components of the extracellular matrix. However, failure of clinical trials testing broad MMP inhibitors in cancer led to the consensus that a better understanding of the MMP biology was required. Using intravital multiphoton laser scanning microscopy, we developed an in vivo model to observe tumor dissemination and extracellular matrix remodeling in real time. We show that the matrix-modifying hormone relaxin increases tumor associated fibroblast interaction with collagen fibers by inducing integrin beta-1 expression. This causes changes in the collagen network that are mediated by MMP-8 and MT1-MMP. Also, we show that MMP-mediated collagen remodeling in vivo requires a direct contact between stationary tumor associated fibroblasts (TAFs) and collagen fibers. As MMPs are expressed in the tumor and stromal compartment of breast cancers we determined the importance of Membrane-type 1 MMP (MT1-MMP) from each compartment for cancer progression. We find that tumor-MT1-MMP promotes the invasion of the blood vasculature and blood-borne metastasis in vivo by enhancing tumor cell migration and endothelial basement membrane degradation. Interestingly, stromal-MT1-MMP cannot compensate for the lack of tumor-MT1-MMP but promotes peritumor collagen I remodeling. Thus, the function of MT1-MMP is context dependent and we identify the different but complementary roles of tumor and stromal MT1-MMP for tumor dissemination. Finally, we translate our preclinical findings in to human breast cancer samples. We show that tumor-MT1-MMP expression correlates with tumor invasion of the blood vasculature in ER-PR-HER2- breast cancers and that MT1-MMP expression increases with cancer progression. MT1-MMP could thus represent an interesting therapeutic target for the prevention of blood vasculature invasion in these tumors. Resumé : Les matrix metalloproteinases (MMPs) semblent jouer un rôle majeur pour la dissémination tumorale en raison de leur capacité à dégrader l'ensemble des composants de la matrice extracellulaire (MEC). Néanmoins, les résultats décevants des études cliniques testant les inhibiteurs des MMP ont conduit à la notion qu'une compréhension plus précise de la biologie des MMP était requise. Dans ce travail de thèse, nous avons développé un modèle murin qui permet d'observer simultanément la dissémination tumorale ainsi que les modifications de la MEC en temps réel. Nous démontrons que le traitement de tumeurs par l'hormone relaxin augmente l'interaction des fibroblastes tumoraux avec les fibres de collagène via l'intégrine beta-1. Nous montrons que cette interaction favorise et est nécessaire à la dégradation des fibres de collagène par MMP-8 et MT1-MMP. Ensuite, étant donné que les MMPs sont exprimées dans les cellules tumorales et stromales des cancers du sein, nous nous sommes intéressés au rôle de la MMP membranaire type 1 (MT1-MMP) exprimée dans chacun de ces compartiments. Nous démontrons que MT1-MMP dérivant des cellules tumorales favorise leur invasion dans les vaisseaux sanguins par la dégradation de la membrane basale vasculaire. De manière inattendue, nous montrons que l'expression de MT1-MMP par le compartiment stromal ne peut compenser le manque de MT1-MMP dans le compartiment tumoral. Néanmoins, nos résultats prouvent que MT1-MMP dérivant du compartiment stromal est impliqué dans la dégradation de collagène peritumorale. La fonction de la protéine MT1-MMP varie donc selon le compartiment tumoral d'origine. Finalement, nous avons testé nos résultats pré cliniques chez l'humain. Dans des biopsies de cancer du sein nous montrons une corrélation entre l'expression de MT1-MMP dans les cellules tumorales et l'invasion de vaisseaux sanguins par des tumeurs ER-PR-HER2-. MT1-MMP pourrait donc être une cible intéressante pour la prévention de dissémination vasculaire de ces tumeurs

Real-Time decision support using data mining to predict blood pressure critical events in intensive medicine patients

Patient blood pressure is an important vital signal to the physicians take a decision and to better understand the patient condition. In Intensive Care Units is possible monitoring the blood pressure due the fact of the patient being in continuous monitoring through bedside monitors and the use of sensors. The intensivist only have access to vital signs values when they look to the monitor or consult the values hourly collected. Most important is the sequence of the values collected, i.e., a set of highest or lowest values can signify a critical event and bring future complications to a patient as is Hypotension or Hypertension. This complications can leverage a set of dangerous diseases and side-effects. The main goal of this work is to predict the probability of a patient has a blood pressure critical event in the next hours by combining a set of patient data collected in real-time and using Data Mining classification techniques. As output the models indicate the probability (%) of a patient has a Blood Pressure Critical Event in the next hour. The achieved results showed to be very promising, presenting sensitivity around of 95%.

Interaction of Diocleinae Lectins with Glycoproteins Based in Surface Plasmon Resonance

Interaction of glucose/mannose-binding lectins in solution with immobilized glycoproteins was followed in real time using surface plasmon resonance technology. The lectins which share many biochemical and structural features could be clearly differentiated in terms of their specificity for complex glycoconjugates. The most prominent interaction of the lectins with PHA-E comparing with soybean agglutinin, both glycoproteins exhibiting high mannose oligosaccharides, suggests that the whole structure of the glycoproteins themselves, may interfere in affinity. These findings also support the hypothesis that minor amino acid replacements in the primary sequence of the lectins might be responsible for their divergence in fine specificity and biological activities. This is the first report using surface plasmon resonance technology that evidences differences of Diocleinae lectins in respect their fine glycan-specificity.

Using the Air Void Anal Analyzer for Real-Time Quality Control Adjustments in the Field, November 2004

The air void analyzer (AVA) with its independent isolation base can be used to accurately evaluate the air void system—including volume of entrained air, size of air voids, and distribution of air voids—of fresh portland cement concrete (PCC) on the jobsite. With this information, quality control adjustments in concrete batching can be made in real time to improve the air void system and thus increase freeze-thaw durability. This technology offers many advantages over current practices for evaluating air in concrete.

Identification of reference genes for expression analysis by real-time quantitative PCR in drought-stressed soybean

The objective of this work was to validate, by quantitative PCR in real time (RT-qPCR), genes to be used as reference in studies of gene expression in soybean in drought-stressed trials. Four genes commonly used in soybean were evaluated: Gmβ-actin, GmGAPDH, GmLectin and GmRNAr18S. Total RNA was extracted from six samples: three from roots in a hydroponic system with different drought intensities (0, 25, 50, 75 and 100 minutes of water stress), and three from leaves of plants grown in sand with different soil moistures (15, 5 and 2.5% gravimetric humidity). The raw cycle threshold (Ct) data were analyzed, and the efficiency of each primer was calculated for an overall analysis of the Ct range among the different samples. The GeNorm application was used to evaluate the best reference gene, according to its stability. The GmGAPDH was the least stable gene, with the highest mean values of expression stability (M), and the most stable genes, with the lowest M values, were the Gmβ-actin and GmRNAr18S, when both root and leaves samples were tested. These genes can be used in RT-qPCR as reference gene for expression analysis.

The effects of real time control of welding parameters on weld quality in plasma arc keyhole welding

Joints intended for welding frequently show variations in geometry and position, for which it is unfortunately not possible to apply a single set of operating parameters to ensure constant quality. The cause of this difficulty lies in a number of factors, including inaccurate joint preparation and joint fit up, tack welds, as well as thermal distortion of the workpiece. In plasma arc keyhole welding of butt joints, deviations in the gap width may cause weld defects such as an incomplete weld bead, excessive penetration and burn through. Manual adjustment of welding parameters to compensate for variations in the gap width is very difficult, and unsatisfactory weld quality is often obtained. In this study a control system for plasma arc keyhole welding has been developed and used to study the effects of the real time control of welding parameters on gap tolerance during welding of austenitic stainless steel AISI 304L. The welding tests demonstrated the beneficial effect of real time control on weld quality. Compared with welding using constant parameters, the maximum tolerable gap width with an acceptable weld quality was 47% higher when using the real time controlled parameters for a plate thickness of 5 mm. In addition, burn through occurred with significantly larger gap widths when parameters were controlled in real time. Increased gap tolerance enables joints to be prepared and fit up less accurately, saving time and preparation costs for welding. In addition to the control system, a novel technique for back face monitoring is described in this study. The test results showed that the technique could be successfully applied for penetration monitoring when welding non magnetic materials. The results also imply that it is possible to measure the dimensions of the plasma efflux or weld root, and use this information in a feedback control system and, thus, maintain the required weld quality.

Comparison between dSPACE and NI systems based on real-time intelligent control of a teleoperated hydraulic servo system

The Laboratory of Intelligent Machine researches and develops energy-efficient power transmissions and automation for mobile construction machines and industrial processes. The laboratory's particular areas of expertise include mechatronic machine design using virtual technologies and simulators and demanding industrial robotics. The laboratory has collaborated extensively with industrial actors and it has participated in significant international research projects, particularly in the field of robotics. For years, dSPACE tools were the lonely hardware which was used in the lab to develop different control algorithms in real-time. dSPACE's hardware systems are in widespread use in the automotive industry and are also employed in drives, aerospace, and industrial automation. But new competitors are developing new sophisticated systems and their features convinced the laboratory to test new products. One of these competitors is National Instrument (NI). In order to get to know the specifications and capabilities of NI tools, an agreement was made to test a NI evolutionary system. This system is used to control a 1-D hydraulic slider. The objective of this research project is to develop a control scheme for the teleoperation of a hydraulically driven manipulator, and to implement a control algorithm between human and machine interaction, and machine and task environment interaction both on NI and dSPACE systems simultaneously and to compare the results.

Real-time identification and modelling in pervasive mining

This paper introduces an architecture for identifying and modelling in real-time at a copper mine using new technologies as M2M and cloud computing with a server in the cloud and an Android client inside the mine. The proposed design brings up pervasive mining, a system with wider coverage, higher communication efficiency, better fault-tolerance, and anytime anywhere availability. This solution was designed for a plant inside the mine which cannot tolerate interruption and for which their identification in situ, in real time, is an essential part of the system to control aspects such as instability by adjusting their corresponding parameters without stopping the process.

Light-induced lens analysis in photorefractive crystals employing phase-shifting real-time holographic interferometry

The purpose of this work is to study the potentialities of phase-shifting real-time holographic interferometry for the analysis of light-induced lens in photoreffactive and nonlinear optical materials. We show that this technique can be used for quantitative evaluation of the phase distribution of a wavefront changed by a light-induced lens and, consequently, the refractive index changes in these materials. The basic principle of this technique combines real-time holographic interferometry with phase-shifting technique for interferogram analysis. This method is demonstrated with in situ visualization, monitoring and analysis in real-time and uses a Bi(12)SiO(20) crystal as the holographic medium and a Bi(12)TiO(20) as the test sample. (C) 2008 Elsevier B.V. All rights reserved.

A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement

Condition monitoring is used to increase machinery availability and machinery performance, reducing consequential damage, increasing machine life, reducing spare parts inventories, and reducing breakdown maintenance. An efficient real time vibration measurement and analysis instruments is capable of providing warning and predicting faults at early stages. In this paper, a new methodology for the implementation of vibration measurement and analysis instruments in real time based on circuit architecture mapped from a MATLAB/Simulink model is presented. In this study, signal processing applications such as FIR filters and fast Fourier transform are treated as systems, which are implemented in hardware using a system generator toolbox, which translates a Simulink model in a hardware description language - HDL for FPGA implementations.