Initial versions of MPI were designed to work efficiently on multi-processors which had very little job control and thus static process models. Subsequently forcing them to support a dynamic process model suitable for...
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Initial versions of MPI were designed to work efficiently on multi-processors which had very little job control and thus static process models. Subsequently forcing them to support a dynamic process model suitable for use on clusters or distributed systems would have reduced their performance. As current HPC collaborative applications increase in size and distribution the potential levels of node and network failures increase. This is especially true when MPI implementations are used as the communication media for GRID applications where the GRID architectures themselves are inherently unreliable thus requiring new fault tolerant MPI systems to be developed. Here we present a new implementation of MPI called FT-MPI that allows the semantics and associated modes of failures to be explicitly controlled by an application via a modified MPI API. Given is an overview of the FT-MPI semantics, design, example applications and some performance issues such as efficient group communications and complex data handling. Also briefly described is the harness g-hcore system that handles low-level system operations on behalf of the MPI implementation. This includes details of plug-in services developed and their interaction with the FT-MPI runtime library. (C) 2002 Elsevier Science B.V. All rights reserved.
BackgroundDogs are a popular pet in many countries, and for them to gain appropriate exercise, many owners opt to walk them on a leash. Despite health and welfare concerns, brachycephalic breeds remain common as pets,...
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BackgroundDogs are a popular pet in many countries, and for them to gain appropriate exercise, many owners opt to walk them on a leash. Despite health and welfare concerns, brachycephalic breeds remain common as pets, with limited research existing that investigates the best restraint type for these animals. ObjectivesThis study aimed to test the effect of a collar and harness during stationary and exercise conditions on the intra-ocular pressure (IOP) and respiration rate (RR) of brachycephalic and dolichocephalic dogs. MethodsA total of 24 healthy dogs, both brachycephalic and dolichocephalic, were recruited for the study and underwent stationary and exercise conditions in two restraint types in a within-between-subjects design. IOP was measured by rebound tonometry, and RR was measured using clinical and visual methods by the same experimenter. ResultsJust wearing a collar in a stationary condition increased IOP in brachycephalic dogs (p < 0.05) but not in dolichocephalic dogs (p > 0.05). Exercising in a collar increased IOP for both groups of dogs (p < 0.05), whereas exercising in a harness did not affect IOP for either group (p > 0.05). RR increased in exercise conditions for both restraint types in brachycephalic dogs (p < 0.05), with no difference between collar and harness (p > 0.05). ConclusionsData suggest that collars may elevate IOP during exercise for all dogs and also during stationary conditions for brachycephalic breeds. Owners need to be conscious of the most appropriate restraint for their dog to avoid deleterious effects on IOP and RR.
In previous work an occam-2 harness was developed which allowed parallel Fortran programs on a multicomputer to communicate using a simple message-passing subroutine library on a Meiko Computing Surface. The present w...
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In previous work an occam-2 harness was developed which allowed parallel Fortran programs on a multicomputer to communicate using a simple message-passing subroutine library on a Meiko Computing Surface. The present work extends this harness to transputer arrays supporting the 3L Parallel Fortran, and further considers processor access of a shared filestore, and improvements to efficiency of communication. Destination buffering and direct access to the lowest-level 3L channels is found to be the most efficient.
We analyze the public transport networks (PTNs) of 14 major cities of the world. While the primary network topology is defined by a set of routes each servicing an ordered series of given stations, a number of differe...
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We analyze the public transport networks (PTNs) of 14 major cities of the world. While the primary network topology is defined by a set of routes each servicing an ordered series of given stations, a number of different neighborhood relations may be defined both for the routes and the stations. The networks defined in this way display distinguishing properties, the most striking being that often several routes proceed in parallel for a sequence of stations. Other networks with real-world links like cables or neurons embedded in two or three dimensions often show the same feature-we use the car engineering term harness for such networks. Geographical data for the routes reveal surprising self-avoiding walk (SAW) properties. We propose and simulate an evolutionary model of PTNs based on effectively interacting SAWs that reproduces the key features. (C) 2007 Elsevier B.V. All rights reserved.
This paper introduces a novel approach to measure and evaluate the proper use of harnesses at construction sites: we deploy Bluetooth Low Energy (BLE) beacons for delimiting areas where the use of a harness is mandato...
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This paper introduces a novel approach to measure and evaluate the proper use of harnesses at construction sites: we deploy Bluetooth Low Energy (BLE) beacons for delimiting areas where the use of a harness is mandatory and to detect whether the harness is attached to the corresponding lifeline when the worker enter these areas. Our method is based on local estimation, through statistical filtering of RSSI measurements (Extended Kalman Filter), of the proximity between the beacons that delimit the different areas and the one in the lifeline, followed by a finite state machine risk status detector. Experiments have been performed in a real construction work-place with a wearable device;their results show that our solution is ideal for dynamic construction environments. Its main advantages are robustness of the detection system, easy relocation of the beacons as the construction zone evolves, and no need for calibration, communication infrastructure, external processing support, or configuration/map updates. Additionally, optional remote loT for online monitoring is possible. (C) 2018 Elsevier Ltd. All rights reserved.
Falls from heights (FFH) are major contributors of injuries and deaths in construction. Yet, despite workers being made aware of the dangers associated with not wearing a safety harness, many forget or purposefully do...
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Falls from heights (FFH) are major contributors of injuries and deaths in construction. Yet, despite workers being made aware of the dangers associated with not wearing a safety harness, many forget or purposefully do not wear them when working at heights. To address this problem, this paper develops an automated computer vision-based method that uses two convolutional neural network (CNN) models to determine if workers are wearing their harness when performing tasks while working at heights. The algorithms developed are: (1) a Faster-R-CNN to detect the presence of a worker;and (2) a deep CNN model to identify the harness. A database of photographs of people working at heights was created from activities undertaken on several construction projects in Wuhan, China. The database was then used to test and train the developed networks. The precision and recall rates for the Faster R-CNN were 99% and 95%, and the CNN models 80% and 98%, respectively. The results demonstrate that the developed method can accurately detect workers not wearing their harness. Thus, the computer vision-based approach developed can be used by construction and safety managers as a mechanism to proactively identify unsafe behavior and therefore take immediate action to mitigate the likelihood of a FFH occurring.
The term "microvibrations" generally refers to accelerations in the region of micro-g, occurring over a wide frequency range, up to say 500-1000 Hz. The main issues related to microvibrations are their contr...
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The term "microvibrations" generally refers to accelerations in the region of micro-g, occurring over a wide frequency range, up to say 500-1000 Hz. The main issues related to microvibrations are their control and minimisation, which requires their modelling and analysis. A particular challenge is posed in the mid-frequency range, where many of the micro-vibration sources on board a spacecraft tend to act. In this case, in addition to the typical issues related to predicting responses in the mid-frequency, the low amplitude of the inputs can produce further non-linear behaviour which can manifest as uncertainties. A typical example is the behaviour of cables secured onto panels;when very low forces are applied, the presence of harness can influence the characteristics of the panel in terms of stiffness and damping values. In these circumstances, the cables themselves couple with the panel, hence become paths for vibration transmission. The common practise is to model such cables as Non-Structural Mass;however, this paper illustrates that this method does not yield accurate results. In order to demonstrate this, an experimental campaign was conducted investigating a honeycomb panel, which was tested bare and with different configurations of harness secured to it. The results of this experimental campaign showed significantly different behaviour of the structure depending on the amplitude of the loads and the frequency. In particular, it was found that the effects the addition of the cables had on the panel were different depending on the frequency range considered. Based on this observation, a general methodology to deal with the whole frequency range is presented here and the basis to extend it to the case of more complex structures is also proposed. (C) 2015 IAA. Published by Elsevier Ltd. All rights reserved.
A typical satellite involves many different components that vary in bandwidth demand. Sensors that require a very low data rate may reside on a simple two- or three-wire interface such as (IC)-C-2, SPI, etc. Complex s...
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A typical satellite involves many different components that vary in bandwidth demand. Sensors that require a very low data rate may reside on a simple two- or three-wire interface such as (IC)-C-2, SPI, etc. Complex sensors that require high data rate and bandwidth may reside on an optical interface. The AraMiS architecture is an enhanced capability architecture with different satellite configurations. Although keeping the low-cost and COTS approach of CubeSats, it extends the modularity concept as it also targets different satellite shapes and sizes. But modularity moves beyond the mechanical structure: the tiles also have thermo-mechanical, harness and signal-processing functionalities. Further modularizing the system, every tile can also host a variable number of small sensors, actuators or payloads, connected using a plug-and-play approach. Every subsystem is housed in a small daughter board and is supplied, by the main tile, with power and data distribution functions, power and data harness, mechanical support and is attached and interconnected with space-grade spring-loaded connectors. The tile software is also modular and allows a quick adaptation to specific subsystems. The basic software for the CPU is properly hardened to guarantee high level of radiation tolerance at very low cost. (C) 2013 IAA. Published by Elsevier Ltd. All rights reserved.
We study the invariant distributions of Hammersley's serial harness process in all dimensions and height fluctuations in one dimension. Subject to mild moment assumptions there is essentially one unique invariant ...
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We study the invariant distributions of Hammersley's serial harness process in all dimensions and height fluctuations in one dimension. Subject to mild moment assumptions there is essentially one unique invariant distribution, and all other invariant distributions are obtained by adding harmonic functions of the averaging kernel. We identify one Gaussian case where the invariant distribution is i.i.d. Height fluctuations in one dimension obey the stochastic heat equation with additive noise (Edwards Wilkinson universality). We prove this for correlated initial data subject to fast enough polynomial decay of strong mixing coefficients, including process-level tightness in the Skorohod space of space time trajectories.
Suspension trauma is a state of shock induced by passive hanging. Those who survive passive suspension are at risk for rhabdomyolysis. In a wilderness setting, one can see this in cases of persons suspended on rope by...
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Suspension trauma is a state of shock induced by passive hanging. Those who survive passive suspension are at risk for rhabdomyolysis. In a wilderness setting, one can see this in cases of persons suspended on rope by their harness. In a conscious person, leg movements work the venous pump to return blood to the central circulation. In the person passively hanging, blood pools in the legs leading to hypoperfusion of vital organs. In the experimental setting, passive hanging has led to unconsciousness in a matter of minutes. Based on a previous series of deaths on rope that included 7 after rescue, many authors have recommended nonstandard treatment for shock including keeping rescued patients upright or squatting for 30 minutes prior to laying them down. This recommendation assumes that sudden death is a risk from acute volume overload or exposure to waste products in the returning blood. This suggestion is not supported by the original series that demonstrated sudden deaths after rescue nor by modern understandings of physiology. Search and rescue teams and party members assisting a colleague suspended unconscious on rope should follow standard resuscitation measures to restore circulation to vital organs immediately.
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