6,945 research outputs found

    The role of emotional intelligence in counseling bilingual Latinos who avoid expressing or experiencing emotions

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    A review of literature on the role of emotional intelligence in counseling bilingual Latinos who avoid expressing or experiencing emotions reveals that language, gender, ethnicity, religion, and family structure influence emotion usage. The two constructs, emotional intelligence and multiculturalism, offered a framework for understanding cultural and contextual factors in cross-cultural client-counselor relationships, redefining resistance from a multicultural standpoint, and possible therapeutic interventions that take into account the cultural influences and beliefs of Latinos on the mental health system

    Probing doubly charged Higgs in e+e−e^+ e^- Colliders in 3-3-1 Model

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    The SU(3)_L\otimesU(1)_N electroweak model predicts new Higgs bosons beyond the one of the standard model. In this work we investigate the signature and production of doubly charged Higgs bosons in the e−e+e^-e^+ International Linear Collider and in the CERN Linear Collider. We compute the branching ratios for the doubly charged gauge bosons of the model.Comment: 17 pages, 12 figure

    Search for the Higgs Boson H20H_2^0 at LHC in 3-3-1 Model

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    We present an analysis of production and signature of neutral Higgs boson (H20H_{2}^{0}) on the version of the 3-3-1 model containing heavy leptons at the Large Hadron Collider. We studied the possibility to identify it using the respective branching ratios. Cross section are given for the collider energy, s=\sqrt{s} = 14 TeV. Event rates and significances are discussed for two possible values of integrated luminosity, 300 fb−1^{-1} and 3000 fb−1^{-1}.Comment: 17 pages 7 figures. arXiv admin note: substantial text overlap with arXiv:1205.404

    Vibration-Based Defect Detection for Freight Railcar Tapered-Roller Bearings

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    The railroad industry currently utilizes two wayside detection systems to monitor the health of freight railcar bearings in service: The Trackside Acoustic Detection System (TADS™) and the wayside Hot-Box Detector (HBD). TADS™ uses wayside microphones to detect and alert the conductor of high risk defects. Many defective bearings may never be detected by TADS™ due to the fact that a high risk defect is considered a spall which spans more than 90% of a bearing’s raceway, and there are less than 20 systems in operation throughout the United States and Canada. Much like the TADS™, the HBD is a device that sits on the side of the rail tracks and uses a non-contact infrared sensor to determine the temperature of the train bearings as they roll over the detector. The accuracy and reliability of the temperature readings from this wayside detection system have been concluded to be inconsistent when comparing several laboratory and field studies. The measured temperatures can be significantly different from the actual operating temperature of the bearings due to several factors such as the class of railroad bearing and its position on the axle relative to the position of the wayside detector. Over the last two decades, a number of severely defective bearings were not identified by several wayside detectors, some of which led to costly catastrophic derailments. In response, certain railroads have attempted to optimize the use of the temperature data acquired by the HBDs. However, this latter action has led to a significant increase in the number of non-verified bearings removed from service. In fact, about 40% of the bearings removed from service in the period from 2001 to 2007 were found to have no discernible defects. The removal of non-verified (defect-free) bearings has resulted in costly delays and inefficiencies. Driven by the need for more dependable and efficient condition monitoring systems, the University Transportation Center for Railway Safety (UTCRS) research team at the University of Texas Rio Grande Valley (UTRGV) has been developing an advanced onboard condition monitoring system that can accurately and reliably detect the onset of bearing failure. The developed system currently utilizes temperature and vibration signatures to monitor the true condition of a bearing. This system has been validated through rigorous laboratory testing at UTRGV and field testing at the Transportation Technology Center, Inc. (TTCI) in Pueblo, CO. The work presented here provides concrete evidence that the use of vibration signatures of a bearing is a more effective method to assess the bearing condition than monitoring temperature alone. The prototype bearing condition monitoring system is capable of identifying a defective bearing with a defect size of less than 6.45 cm2 (1 in2) using the vibration signature, whereas, the temperature profile of that same bearing will indicate a healthy bearing that is operating normally

    Implementation of a Remote Control and Monitoring System in Assembly Processes with Industrial Robot Kawasaki Rs003 Through the GSM Network in the Industrial Automation Laboratory of the Faculty of Mechanics

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    The control and monitoring of processes with industrial robot requires a means of remote communication that allows the operator to know the current state of the process in addition to sending new production parameters by means of a Programmable Logic Controller (PLC) and a compatible CP1242-7 module with the Global System for Mobile Communications (GSM), integrated into a multipurpose assembly station and based on experimentation to verify the correct functioning of the communication system through text messages.   Keywords: industrial robot, PLC, GSM, assembl

    Structural integrity of conventional and modified railroad bearing adapters for onboard monitoring

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    This paper presents a detailed study of the structural integrity of conventional and modified railroad bearing adapters for onboard monitoring applications. Freight railcars rely heavily on weigh bridges and stations to determine cargo load. As a consequence, most load measurements are limited to certain physical railroad locations. This limitation provided an opportunity for an optimized sensor that could potentially deliver significant insight on bearing condition monitoring as well as load information. Bearing adapter modifications (e.g. cut outs) were necessary to house the sensor and, thus, it is imperative to determine the reliability of the modified railroad bearing adapter, which will be used for onboard health monitoring applications. To this end, this study quantifies the impact of the proposed modifications on the adapter structural integrity through a series of experiments and finite element analyses. The commercial software Algor 20.3TM is used to conduct the stress finite element analyses. Different loading scenarios are simulated with the purpose of obtaining the conventional and modified bearing adapter stresses during normal and abnormal operating conditions. This information is then used to estimate the lifetime of these bearing adapters. Furthermore, this paper presents an experimentally validated finite element model which can be used to attain stress distribution maps of these bearing adapters in different service conditions. The maps are also useful for identifying areas of interest for an eventual inspection of conventional or modified railroad bearing adapters in the field

    ARP-Path: ARP-based Shortest Path Bridges

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    This letter is a summary proposal for an evolution of the Ethernet transparent bridge paradigm that provides simple, shortest path bridging in campus networks. ARP-Path Ethernet Switches set up an on-demand path between two hosts just reusing and flooding the standard ARP request frame through all links and confirming the path reaching to the destination host with the ARP reply frame. ARP-Path uses the standard Ethernet frame format, is fully transparent to hosts and does not require spanning tree or link state protocol. Simulation results show superior performance to spanning tree and similar to shortest path routing, with lower complexity. Our implementations confirm backward compatibility, robustness and performance.This work was supported in part by grants from Comunidad de Madrid and Comunidad de Castilla la Mancha through Projects MEDIANET-CM (S- 2009/TIC-1468) and EMARECE (PII1I09-0204-4319).Publicad
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