Automatic data path abstraction for verification of large scale designs

2002 ◽  
Author(s):  
V. Paruthi ◽  
N. Mansouri ◽  
R. Vemuri
Keyword(s):  
Large Scale ◽  
Data Path ◽  
Automatic Data

An Internet-based health gateway device for interactive communication and automatic data uploading: Clinical efficacy for type 2 diabetes in a multi-centre trial

2016 ◽  
Vol 23 (6) ◽  
pp. 595-604 ◽  
Author(s):  
Jae Hyoung Cho ◽  
Hun-Sung Kim ◽  
Seung Hyun Yoo ◽  
Chang Hee Jung ◽  
Woo Je Lee ◽  
...  
Keyword(s):  
Adverse Events ◽  
Healthcare System ◽  
Glucose Control ◽  
Large Scale ◽  
Diabetes Management ◽  
Intervention Group ◽  
Diabetes Control ◽  
Control Group ◽  
Anthropometric Parameters ◽  
Automatic Data

Introduction The aim of this study was to improve the quality of diabetes control and evaluate the efficacy of an Internet-based integrated healthcare system for diabetes management and safety. Methods We conducted a large-scale, multi-centre, randomized clinical trial involving 484 patients. Patients in the intervention group ( n = 244) were treated with the Internet-based system for six months, while the control group ( n = 240) received the usual outpatient management over the same period. HbA1c, blood chemistries, anthropometric parameters, and adverse events were assessed at the beginning of the study, after three months, and the end of the study. Results There were no initial significant differences between the groups with respect to demographics and clinical parameters. Upon six-month follow-up, HbA1c levels were significantly decreased from 7.86 ± 0.69% to 7.55 ± 0.86% within the intervention group ( p < 0.001) compared to 7.81 ± 0.66% to 7.70 ± 0.88% within the control group. Postprandial glucose reduction was predominant. A subgroup with baseline HbA1c higher than 8% and good compliance achieved a reduction of HbA1c by 0.8 ± 1.05%. Glucose control and waist circumference reduction were more effective in females and subjects older than 40 years of age. There were no adverse events associated with the intervention. Discussion This e-healthcare system was effective for glucose control and body composition improvement without associated adverse events in a multi-centre trial. This system may be effective in improving diabetes control in the general population.

scholarly journals Technology in the advancement of glaciology

1987 ◽  
Vol 33 (S1) ◽  
pp. 66-77 ◽  
Author(s):  
H. Jay Zwally
Keyword(s):  
Large Scale ◽  
New Technology ◽  
Ice Cores ◽  
Data Logging ◽  
Mass Spectrometers ◽  
Automatic Data ◽  
Fundamental Properties ◽  
Large Memory ◽  
Satellite Sensors ◽  
Evolution Of Science

AbstractMany of the major advances in glaciology during the past 50 years have followed the development and application of new technology for viewing and measuring various characteristics of ice. Microscopes to study ice crystals, radars to probe the internal structure of large ice masses, mass spectrometers to analyze the atomic composition of ice cores, and satellite sensors to measure the global distribution of ice are some of the tools readily adapted by glaciologists. Today, new tools include microcomputers for automatic data logging, large-memory computers for data processing and numerical modeling, sensitive instruments for ice analysis, and satellite sensors for large-scale ice observations. In the future, continued advances in key technologies will help guide the evolution of science questions considered by glaciologists, expanding our view of ice, its fundamental properties, its interactions within the ice–ocean–land–atmosphere system, and its role in the evolution of our global environment.

The Sage System Training Program for the Air Defense Command

1964 ◽  
Vol 6 (5) ◽  
pp. 537-548 ◽  
Author(s):  
John T. Rowell ◽  
Eugene R. Streich
Keyword(s):  
Training Program ◽  
Large Scale ◽  
Processing System ◽  
Defense System ◽  
Automatic Data ◽  
Air Defense ◽  
Training Requirements ◽  
Simulation Techniques ◽  
Training Principles ◽  
Conceptual Formulation

This article describes the development and implementation of a program to train a large-scale, semi-automatic data processing system known as SAGE (Semi-Automatic Ground Environment). Particular attention is given to describing the the air defense system, the methodology used to satisfy the training requirements, the conduct of the training program in operational settings, and results of various studies of training effectiveness. Of significance was the emergence of a unique conceptual formulation of system training principles and of associated simulation techniques.

StressTextureCalculator: a software tool to extract texture, strain and microstructure information from area-detector measurements

2011 ◽  
Vol 44 (3) ◽  
pp. 641-646 ◽  
Author(s):  
C. Randau ◽  
U. Garbe ◽  
H.-G. Brokmeier
Keyword(s):  
Large Scale ◽  
Materials Science ◽  
Direct Calculation ◽  
Software Tool ◽  
Peak Shift ◽  
Automatic Data ◽  
Area Detector ◽  
Peak Fitting ◽  
Wide Range ◽  
Diffraction Patterns

Modern materials science diffractometers are generally equipped with area detectors that allow a high time efficiency to be achieved by simultaneously collecting the scattering pattern over large angular regions. These area-detector-based instruments, however, produce a huge amount of data, especially if they are located at large-scale neutron or synchrotron sources. The softwareStressTextureCalculator(STeCa) was designed to facilitate fast, easy and automated access to such area-detector data. Its outstanding features are direct calculation of diffraction patterns from different types of area-detector measurements, automatic data treatment and peak fitting using several implemented fit options. The resulting information on intensity, peak shift and broadening can then be exported into several data formats. These in turn can be used as input for a wide range of texture, stress and microstructure analysis software packages without additional prior treatment.

scholarly journals Automatic Data Distribution in Large-scale OLTP Applications

2014 ◽  
Vol 7 (4) ◽  
pp. 37-46 ◽  
Author(s):  
Xiaoyan Wang ◽  
Xu Fan ◽  
Jinchuan Chen ◽  
Xiaoyong Du
Keyword(s):  
Large Scale ◽  
Data Distribution ◽  
Automatic Data ◽  
Automatic Data Distribution
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