Extant Java Virtual Machines (JVMs) apply dynamic compiler optimizations adaptively, based on the partial execution of the program, with the goal of improving performance. Understanding and characterizing program beha...
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Extant Java Virtual Machines (JVMs) apply dynamic compiler optimizations adaptively, based on the partial execution of the program, with the goal of improving performance. Understanding and characterizing program behavior is of vital importance to such systems. Recent research, primarily in the area of computer architecture, has identified potential optimization opportunities in the repeating patterns in the time-varying behavior of programs. In view of this, we believe that by considering time-varying, i.e., phase, behavior in Java programs, adaptive JVMs can enable performance that exceeds current levels. To enable analysis and visualization of phase behavior in Java programs and to facilitate optimization development, we have implemented a freely available, offline, phase analysis framework within the IBM Jikes Research Virtual Machine (JikesRVM) for Java. The framework couples existing techniques into a unifying set of tools for data collection, processing, and analysis of dynamic phase behavior in Java programs. The framework enables optimization developers to significantly reduce analysis time and to target adaptive optimization to parts of the code that will recur with sufficient regularity. We use the framework to evaluate phase behavior in the SpecJVM benchmark suite and discuss optimizations that are enabled by the framework. (c) 2005 Elsevier B.V. All rights reserved.
The analysis of the distribution of pharmaceutical materials in tablet formulations, such as drugs and matrix elements, is critical to product performance and is used in such areas as quality control, impurity testing...
The analysis of the distribution of pharmaceutical materials in tablet formulations, such as drugs and matrix elements, is critical to product performance and is used in such areas as quality control, impurity testing, and process monitoring. Recently imaging techniques, such as Raman, near-IR, and fluorescence imaging, have become popular for "visualization" of pharmaceutical formulations, allowing for spatial and chemical composition information to be obtained simultaneously. These methods have been primarily focused on molecular imaging, or spatial analysis of the molecular characteristics of the tablet formulation. However, elemental species are also an important part of pharmaceuticals. Micro X-ray fluorescence (MXRF) elemental imaging offers complementary information to molecular imaging techniques. In this study, MXRF was used for the elemental imaging of various commercial pharmaceutical drug and vitamin supplements. Specifically, elemental composition and heterogeneity were monitored for each different tablet. (c) 2005 International Centre for Diffraction data.
Road Traffic Accidents (RTAs) are currently the leading causes of traffic congestion, human death, health problems, environmental pollution, and economic losses. Investigation of the characteristics and patterns of RT...
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ISBN:
(纸本)9783030394318;9783030394301
Road Traffic Accidents (RTAs) are currently the leading causes of traffic congestion, human death, health problems, environmental pollution, and economic losses. Investigation of the characteristics and patterns of RTAs is one of the high-priority issues in traffic safety analysis. This paper presents our work on mining RTAs using association rule based methods. A case study is conducted using UK traffic accident data from 2005 to 2017. We performed Apriori algorithm on the data set and then explored the rules with high lift and high support respectively. The results show that RTAs have strong correlation with environmental characteristics, speed limit, and location. With the network visualization, we can explain in details the association rules and obtain more understandable insights into the results. The promising outcomes will undoubtedly reduce traffic accident effectively and assist traffic safety department for decision making.
作者：
Li, QMYork Univ
Dept Earth & Space Sci & Engn Toronto ON M3J 1P3 Canada
Well-logging data is the borehole observation of geophysical, geochemical, hydrological, and geological properties. It has been widely used in basin analysis, oil, gas & mineral exploration, hydrology, and environ...
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ISBN:
(纸本)0973422017
Well-logging data is the borehole observation of geophysical, geochemical, hydrological, and geological properties. It has been widely used in basin analysis, oil, gas & mineral exploration, hydrology, and environment evaluation or monitoring. The public, government, and companies have difficulty to find, access, process, and visualize them effectively as more and more well-logging data has been amassed.
We present in this paper our recent developments dealing with computer-assisted music analysis. Our focus is in a new syntax that extends the patternmatching part of our constraint-based system called PWConstraints. P...
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We present in this paper our recent developments dealing with computer-assisted music analysis. Our focus is in a new syntax that extends the patternmatching part of our constraint-based system called PWConstraints. PWConstraints can be used both to generate musical material or to analyze existing scores. The syntax allows to refer to more high-level entities in a score than before, resulting in compact analysis rules that use only a minimal set of primitives. Rules can return expression objects which can be used to visualize analytical information directly in a score. The compiler can be extended to support new score accessor keywords by special compiler methods. The new syntax and visualization of analysisdata is explained and demonstrated with the help of several analysis examples.
In the design of vehicles of public transport as much as private, it is important to know the real load properties which are put under the vehicle. Although typical load histories are available, these files were obtai...
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ISBN:
(纸本)0769522831
In the design of vehicles of public transport as much as private, it is important to know the real load properties which are put under the vehicle. Although typical load histories are available, these files were obtained in other countries where the conditions of the ways and the operation of the vehicles are very different. In order to be able to obtain histories of loads in the conditions of our country, a system based on a wireless sensing modules network has been developed to measure deformations, temperature and accelerations in multiple points of the vehicle in real time. The obtained data of each sensor is prepared, processed, stored and transmitted in time intervals towards a receiver, which is in charge to send them to a Internet server for its storage, visualization and analysis for any user connected to the network who have accessibility to the collected information and can make the pertinent procedures and actions. In this work the design of the instrumentation system is based on a wireless sensing modules network and its uses the GPRS protocol which is based on GSM cellular technology, it permit send all the data received from each wireless module to the server host.
The proceedings contain 70 papers. The topics discussed include: suppressive method of narrow band interference in upstream channel of HFC;comparative performance of TCP variants on self-similar traffic;tomographic im...
ISBN:
(纸本)1424400112
The proceedings contain 70 papers. The topics discussed include: suppressive method of narrow band interference in upstream channel of HFC;comparative performance of TCP variants on self-similar traffic;tomographic imaging : multiple fan beam projection technique using optical fibre sensors;two-channel data acquisition unit for heart sound analysis;microwave radiation safety assessment near cellular base stations;data acquisition process in optical tomography : signal sample and hold circuit;stereo image to stereo sound methods for vision based ETA;adaptive system identification paradigims and air duct system identification;derivation of path reduction factor from the Malaysian meteorological radar data;photoplethysmograph sensor based on light-to-frequency converter;angular features analysis for gait recognition;development of a control system for laser Doppler imaging scanning technique using Labview;and non-invasive ultrasonic tomography: liquid/gas flow visualization.
visualization and quantification of cardiac function can provide direct and reliable indicators of cardiac health. The heart's operation occurs in three dimensions, and is dependent on three dimensional forces and...
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ISBN:
(纸本)0819457213
visualization and quantification of cardiac function can provide direct and reliable indicators of cardiac health. The heart's operation occurs in three dimensions, and is dependent on three dimensional forces and ventricular geometry making the observation of its shape important. Many approaches have been presented to extract cardiac shape and do functional analysis from a variety of imaging modalities. We apply a spherical harmonics (SPHARM) model to cardiac function analysis using magnetic resonance (MR) images. Our three dimensional SPHARM approach increases measurement accuracy over two dimensional approaches and also simplifies the management and indexing of clinical data by providing access to many important functional measures directly from the SPHARM representation.
To establish improved therapies for patients suffering from severe neurological and psychiatric diseases, a demand controlled and desynchronizing brain-pacemaker has been developed with techniques from statistical phy...
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ISBN:
(纸本)0780391837
To establish improved therapies for patients suffering from severe neurological and psychiatric diseases, a demand controlled and desynchronizing brain-pacemaker has been developed with techniques from statistical physics and nonlinear dynamics. To optimize the novel therapeutic approach, brain activity is investigated with a Magnetoencephalography (MEG) system prior to surgery. For this, a real time data acquisition system for a 148 channel MEG and online signal processing for artifact rejection, filtering, cross trial phase resetting analysis and three-dimensional (3-D) reconstruction of the cerebral current sources was developed. The developed PCI bus hardware is based on a FPGA and DSP design, using the benefits from both architectures. The reconstruction and visualization of the 3-D volume data is done by the PC which hosts the real time DAQ and pre-processing board. The framework of the MEG-online system is introduced and the architecture of the real time DAQ board and online reconstruction is described. In addition we show first results with the MEG-Online system for the investigation of dynamic brain activities in relation to external visual stimulation, based on test data sets.
Managing the operation of large, networked systems is becoming increasingly complex. Often, critical information about the system is getting lost in a tidal wave of data. A particularly germane example is the electric...
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ISBN:
(纸本)0769522688
Managing the operation of large, networked systems is becoming increasingly complex. Often, critical information about the system is getting lost in a tidal wave of data. A particularly germane example is the electric power grid, as evidenced by the problems experienced in the August 14th 2003 blackout. One of the key causes of the blackout was the people operating the system in various regions through the eastern part of North America did not have access to the "big picture." The focus of this mini-track is on the management, analysis, and visualization of systems characterized by extremely large sets of data that cover spatial, temporal and contingent dimensions. The mini-track contains four papers.
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