2,353 research outputs found

    Novel Edge States in Self-Dual Gravity

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    In contrast to the Einstein-Hilbert action, the action for self-dual gravity contains vierbeins. They are eleminated at the level of observables by an SL(2,C)SL(2,\mathbb{C}) gauge condition implied by the action. We argue that despite this condition, new "edge" or superselected state vectors corresponding to maps of the spheres S2S^2_{\infty} at infinity to SL(2,C)SL(2, \mathbb{C}) arise. They are characterised by new quantum numbers and they lead to mixed states. For black holes, they arise both at the horizon and the spatial infinity and may be relevant for the black hole information paradox. Similar comments can be made about the Einstein-Palatini action which uses vierbeins.Comment: 15 pages, reference added, some minor notational changes - no changes in conclusio

    Database independent Migration of Objects into an Object-Relational Database

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    This paper reports on the CERN-based WISDOM project which is studying the serialisation and deserialisation of data to/from an object database (objectivity) and ORACLE 9i.Comment: 26 pages, 18 figures; CMS CERN Conference Report cr02_01

    Modeling And Simulation Of Micro-Manipulator Robotic System For Neurosurgery.

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    This research focuses on modeling and control simulation of a micro-manipulator robotic system model for neurosurgery application

    AUV Controller Design And Analysis Using Full-State Feedback.

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    This paper presents the design and development of a system controller for our USM Autonomous Underwater Vehicle (USM-AUV). The state space design approach was used because this design approach is most suitable for nonlinear system and multi-input multi-output (MIMO) system set-up

    Embedded Parallel Systolic Architecture For Multi-Filtering Techniques Using FPGA.

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    Computing systems typically suffer from delay in data processing

    3D Object Recognition Using Multiple Views And Neural Networks.

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    This paper proposes a method for recognition and classification of 3D objects. The method is based on 2D moments and neural networks. The 2D moments are calculated based on 2D intensity images taken from multiple cameras that have been arranged using multiple views technique. 2D moments are commonly used for 2D pattern recognition

    Faecal empyema

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    A STUDY ON PATTERN OF ACUTE POISONING IN AN EMERGENCY DEPARTMENT OF A TERTIARY CARE HOSPITAL

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    Objectives: To study the sociodemographic, type of poisoning and mode of poisoning in an emergency department of a tertiary care hospital.Methods: A retrospective, observational study of 12 months duration was conducted in a teaching hospital from January 2013 to December 2013.Data regarding demography, name of poisonous substance, were collected in the pre-structured form and analyzed using descriptive statistics.Results: A total of 384 cases of poisoning were recorded. Among this incidence was more common in males (69%) compared to females (31%) with aratio 2.22:1. Most of the cases of acute poisoning presented between 21 and 30 years age group (49.5%). The majority of cases were seen among ruralpeople (64%), farmers (36.5%) followed by manual laborers (30.3%) were most commonly encountered. Suicidal tendency as a mode of poisoningaccounted (73%). Most of the cases of acute poisoning were due to pesticides (62.8%) followed by snakebites (18.2%), drug overdosage (14.4%),corrosives (2.6%), and kerosene (2%). Among pesticidal poisonings most commonly encountered was organophosphorus (OP) (34.6%) followed byorganocarbamates (11.3%), pyrethroids (10.8%), aluminum phosphide (3.5%), and rat poison (2.6%).Conclusion: Poisoning was most commonly seen among OP compounds. So, proper educational and training interventions on pesticide handling andsafety precautions, restriction on hazardous pesticides are needed to decrease pesticide exposure to farmers.Keywords: Poisoning, Organophosphorus compound, Drug overdose, Snakebite

    Collision risk assessment based artificial potential field approach for multi-ships avoidance

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    1037-1047Artificial potential field (APF) is widely used for obstacles avoidance of autonomous surface vessel (ASV). However, its performance is poor for the case that the ASV encounters multiple ships. The collision may happen since the APF method is only taking distance and velocity into account. To solve this problem, a collision risk assessment based approach is proposed. A fuzzy logic system is applied to assess the collision risk with distance of close point of ppproaching (DCPA) and time of close point of approaching (TCPA). The collision risk is used to modify the APF for the ASV to avoid multiple ships. A critical encounter scenario is simulated to test the proposed approach. The simulation results indicate that the proposed method overcomes the problem to help an ASV successfully avoids the ship collision
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