647 research outputs found

    Design and Implementation of an Ultrasonic Localization System for Wireless Sensor Networks using Angle-of-Arrival and Distance Measurement

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    AbstractThis paper presents a localization system for Wireless Sensor Networks (WSN) based on ultrasonic (US) Time-of-Flight (ToF) measurements. The participants send out US pulses while a central localization unit measures the Time-Difference-of-Arrival (TDoA) between four US sensors to calculate the Angle-of-Arrival (AoA). The radio frequency (RF) transceiver of the sensor nodes enables distance measurements using TDoA (US vs. RF) in addition. This improves the localization accuracy significantly since the estimated distance from triangulation suffers excessively from even small angle errors. Several filter stages including Kalman-filtering minimize the number of outliers and fluctuations of the calculated distances and angles. Those computed polar coordinates (angle/distance) are converted into a Cartesian form and forwarded to a base station which is connected to a PC. The mean error and standard deviation of the angle and distance measurements (1.36 ¡ ± 0.39 ¡ / 1.00cm ± 0.14cm) lead to a small mean localization error of 4.21cm and a standard deviation of 0.57cm

    MACHINE LEARNING APPROACHES ALONG THE RADIOLOGY VALUE CHAIN – RETHINKING VALUE PROPOSITIONS

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    Radiology is experiencing an increased interest in machine learning with its ability to use a large amount of available data. However, it remains unclear how and to what extent machine learning will affect radiology businesses. Conducting a systematic literature review and expert interviews, we compile the opportunities and challenges of machine learning along the radiology value chain to discuss their implications for the radiology business. Machine learning can improve diagnostic quality by reducing human errors, accurately analysing large amounts of data, quantifying reports, and integrating data. Hence, it strengthens radiology businesses seeking product or service leadership. Machine learning fosters efficiency by automating accompanying activities such as generating study protocols or reports, avoiding duplicate work due to low image quality, and supporting radiologists. These efficiency improvements advance the operational excellence strategy. By providing personnel and proactive medical solutions beyond the radiology silo, machine learning supports a customer intimacy strategy. However, the opportunities face challenges that are technical (i.e., lack of data, weak labelling, and generalisation), legal (i.e., regulatory approval and privacy laws), and persuasive (i.e., radiologists’ resistance and patients’ distrust). Our findings shed light on the strategic positioning of radiology businesses, contributing to academic discourse and practical decision-making

    Using Unnatural Amino Acid Mutagenesis To Probe the Regulation of PRMT1

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    Protein arginine methyltransferase 1 (PRMT1)-dependent methylation contributes to the onset and progression of numerous diseases (e.g., cancer, heart disease, ALS); however, the regulatory mechanisms that control PRMT1 activity are relatively unexplored. We therefore set out to decipher how phosphorylation regulates PRMT1 activity. Curated mass spectrometry data identified Tyr291, a residue adjacent to the conserved THW loop, as being phosphorylated. Natural and unnatural amino acid mutagenesis, including the incorporation of p-carboxymethyl-L-phenylalanine (pCmF) as a phosphotyrosine mimic, were used to show that Tyr291 phosphorylation alters the substrate specificity of PRMT1. Additionally, p-benzoyl-L-phenylalanine (pBpF) was incorporated at the Tyr291 position, and cross-linking experiments with K562 cell extracts identified several proteins (e.g., hnRNPA1 and hnRNP center dot center dot H3) that bind specifically to this site. Moreover, we also demonstrate that Tyr291 phosphorylation impairs PRMT1\u27s ability to bind and methylate both proteins. In total, these studies demonstrate that Tyr291 phosphorylation alters both PRMT1 substrate specificity and protein-protein interacions

    The "Water Cooler" game

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    Much has been written about the theoretical potential of digital games to transform teaching and learning and to offer new forms of digital assessment; yet the education system in the United Kingdom (UK) is arguably still focused exclusively on the assessment and reward of individual effort and achievement. This can be at odds with the requirements of twenty-first century working environments and in the requirements for developing the personal employability characteristics of students. Engaging students in authentic collaborative project work that requires sophisticated and coordinated communication can present real challenges. Employers are demanding, as prerequisite, that graduates have highly developed communication and collaborative team working skills for opportunities in the digital industries such as Games Design, however Games Design students are often quite isolated in their personal industry related practice, working methods and their online lifestyles and lack the “soft skills” which would enable them to work successfully within a team. In this paper, the authors elaborate on how Hull School of Art and Design has attempted to address this problem through the implementation of an Applied Game, the “Watercooler Game”, for their Games Industry undergraduates. They present their reflections on the rationale behind the pedagogic approach, the decision to develop an applied game to address their pedagogic challenges and their experience of working with a commercial Games Developer in producing the game. The authors present the initial findings of their evaluation of game from a multidimensional perspective. The pedagogic approach (using applied games with a selected small cohort of students), the technical approach adopted by the developers of the game (an open source asset based approach) and the pedagogic efficacy of the game through evaluation of the learning objectives achieved by a cohort of seventy learners situated in the College’s School of Art and Design

    2001-2002 Birthday Celebration Concert - Wolfgang Amadeus Mozart

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    https://spiral.lynn.edu/conservatory_otherseasonalconcerts/1093/thumbnail.jp

    Trends in ICT 2003

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    The study "Trends in ICT 2003" surveyed Dutch managers about important IT aspects. Results of the study are presented in brief. Topics treated are security, privacy, e-commerce, use of intranet, monitoring of employee WWW use, who makes IT decisions, implementation of contingency plans, the cause of system failures, and protection against hacking. Future information security challenges are also looked at.

    2003-2004 Beethoven\u27s Birthday Concert

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    https://spiral.lynn.edu/conservatory_otherseasonalconcerts/1058/thumbnail.jp

    2002-2003 Chamber Music Concert

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    https://spiral.lynn.edu/conservatory_otherseasonalconcerts/1072/thumbnail.jp

    Gyro orbit simulations of neutral beam injection in Wendelstein 7-X

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    Simulations exploring neutral beam operation in Wendelstein 7-X (W7-X) at reduced magnetic field are performed using a newly implemented gyro orbit model in the BEAMS3D code. Operation at field strengths below the nominal 2.5 T are seen as a path to explore both high beta plasmas and as a means to access magnetic configurations not possible at 2.5 T. As the field strength becomes smaller, the gyro radius for 55 keV fast protons grows from 1cm{\sim}1\,\mathrm{cm} at 2.5 T to 5cm{\sim}5\,\mathrm{cm} at 0.75 T in a device with minor radius 50cm{\sim}50\,\mathrm{cm} bringing into question the applicability of the gyro center approximation. To address this a gyro orbit model was implemented in the BEAMS3D code. Agreement is found between the gyro center and gyro orbit models in a circular cross section tokamak equilibrium at high field. A set of W7-X equilibria are assessed with fixed density and temperature profiles but decreasing magnetic field strength (increasing plasma beta). Neutral beam deposition is found to be mostly unaffected with changes in the core of the plasma associated with the Shafranov-shift. In general good agreement is found between gyro orbit and gyro center simulations at 2.5 T. Both models indicate increasing losses with decreasing magnetic field strength with the gyro orbit losses being higher at all field strengths. Gyro orbit simulations to the first wall of W7-X show a change in loss pattern with decreasing magnetic field strength. A preliminary assessment of losses to fast ion loss detectors are made
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