Object Class or Association Class? Testing the User Effect on Cardinality Interpretation

2005 ◽  
pp. 33-42 ◽  
Author(s):  
Geert Poels ◽  
Frederik Gailly ◽  
Ann Maes ◽  
Roland Paemeleire
Keyword(s):  
Object Class ◽  
Class Testing ◽  
Association Class

Meta-Classifier Based on Boosted Approach for Object Class Recognition

2014 ◽  
Vol 9 (9) ◽  
pp. 1590
Author(s):  
Noridayu Manshor ◽  
Amir Rizaan Abdul Rahiman ◽  
Raja Azlina Raja Mahmood
Keyword(s):  
Object Class ◽  
Object Class Recognition

AMPCO 940 and AMPCO-TRODE 940

Alloy Digest ◽  
1993 ◽  
Vol 42 (3) ◽  
Keyword(s):  
Copper Alloys ◽  
Heat Treating ◽  
Resistance Welding ◽  
Chromium Alloy ◽  
Heat Treated ◽  
Association Class ◽  
Potential Applications ◽  
Minimum Requirements ◽  
Nickel Silicon ◽  
Plastic Injection

Abstract AMPCO 940 is a precipitation-hardening copper-nickel-silicon-chromium alloy developed for resistance welding and other applications now using the 1% beryllium-copper alloys. The heat-treated alloy is capable of meeting the RWMA (Resistance Welder Manufacturers Association) Class 3 minimum requirements-95,000 psi tensile strength, 90 Rockwell B hardness and 45% IACS electrical conductivity. Potential applications include resistance welding tips, wheels and fixtures. A major use is in plastic injection molding. AMPCO-TRODE 940 is used for repair welding and overlays. This datasheet provides information on composition, physical properties, hardness, and tensile properties. It also includes information on high temperature performance and corrosion resistance as well as casting, forming, heat treating, machining, and joining. Filing Code: CU-434. Producer or source: Ampco Metal Inc. Originally published as Ampcoloy 940, April 1982, revised March 1993.

COPPER ALLOY No. C81400

Alloy Digest ◽  
1985 ◽  
Vol 34 (12) ◽  
Keyword(s):  
Physical Properties ◽  
Tensile Properties ◽  
Copper Alloy ◽  
Health Hazard ◽  
Heat Treating ◽  
Class Ii ◽  
Resistance Wire ◽  
Beryllium Copper ◽  
Trade Name ◽  
Association Class

Abstract Copper Alloy No. C81400 is a precipitation-hardenable alloy of moderate hardness and strength. Its common name is beryllium-modified chromium copper and a previous trade name was Beryllium Copper 70C. Because of its beryllium content, its manufacture may present a health hazard. Typical uses comprise electrical parts that meet RWMA (Resistance Wire Manufacturer's Association) Class II standards. This datasheet provides information on composition, physical properties, hardness, elasticity, and tensile properties. It also includes information on casting, heat treating, machining, and joining. Filing Code: Cu-504. Producer or source: Copper alloy foundries.

scholarly journals New York Heart Association class is strongly associated with mortality beyond heart failure in symptomatic women

2020 ◽  
Author(s):  
Klaske R Siegersma ◽  
Floor Groepenhoff ◽  
N Charlotte Onland-Moret ◽  
Igor I Tulevski ◽  
Leonard Hofstra ◽  
...  
Keyword(s):  
Heart Failure ◽  
New York ◽  
Heart Association ◽  
York Heart Association Class ◽  
Association Class ◽  
New York Heart Association

scholarly journals IpDFT-Tuned Estimation Algorithms for PMUs: Overview and Performance Comparison

2021 ◽  
Vol 11 (5) ◽  
pp. 2318
Author(s):  
David Macii ◽  
Daniel Belega ◽  
Dario Petri
Keyword(s):  
Weighted Least Squares ◽  
Performance Comparison ◽  
Rate Of Change ◽  
Parameters Estimation ◽  
Operating Conditions ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Estimation Algorithms ◽  
Class Testing ◽  
Low Pass

The Interpolated Discrete Fourier Transform (IpDFT) is one of the most popular algorithms for Phasor Measurement Units (PMUs), due to its quite low computational complexity and its good accuracy in various operating conditions. However, the basic IpDFT algorithm can be used also as a preliminary estimator of the amplitude, phase, frequency and rate of change of frequency of voltage or current AC waveforms at times synchronized to the Universal Coordinated Time (UTC). Indeed, another cascaded algorithm can be used to refine the waveform parameters estimation. In this context, the main novelty of this work is a fair and extensive performance comparison of three different state-of-the-art IpDFT-tuned estimation algorithms for PMUs. The three algorithms are: (i) the so-called corrected IpDFT (IpDFTc), which is conceived to compensate for the effect of both the image of the fundamental tone and second-order harmonic; (ii) a frequency-tuned version of the Taylor Weighted Least-Squares (TWLS) algorithm, and (iii) the frequency Down-Conversion and low-pass Filtering (DCF) technique described also in the IEEE/IEC Standard 60255-118-1:2018. The simulation results obtained in the P Class and M Class testing conditions specified in the same Standard show that the IpDFTc algorithm is generally preferable under the effect of steady-state disturbances. On the contrary, the tuned TWLS estimator is usually the best solution when dynamic changes of amplitude, phase or frequency occur. In transient conditions (i.e., under the effect of amplitude or phase steps), the IpDFTc and the tuned TWLS algorithms do not clearly outperform one another. The DCF approach generally returns the worst results. However, its actual performances heavily depend on the adopted low-pass filter.

Abstract 2848: Medication Knowledge And Assistance In Older Chronic Heart Failure Patients.

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Robyn Gallagher ◽  
Judith Donoghue ◽  
Lynn Chenoweth ◽  
Jane Stein-Parbury
Keyword(s):  
Heart Failure ◽  
New York ◽  
Chronic Heart Failure ◽  
Self Efficacy ◽  
Heart Association ◽  
Post Discharge ◽  
Medication Knowledge ◽  
Moderate Heart Failure ◽  
Association Class ◽  
New York Heart Association

Medication knowledge and assistance in older chronic heart failure (CHF) patients. Medication adherence is central to the optimal management of CHF. Little is known about older patients’ knowledge of their medications or the factors that contribute to this knowledge. Aim: To describe and identify the predictors of medication knowledge in older CHF patients. Method: Subjects ( n = 62) aged over 55 years with moderate heart failure (New York Heart Association Class II and III) who identified as self-managing were recruited from hospital or rehabilitation. Interviews occurred at home four weeks post-discharge using a medication checklist and the Self-Efficacy in Chronic Illness Scale (Lorig et al, 2001). Multiple regression analysis determined the predictors of medication knowledge. Results: Patients were aged mean 78.4 years (sd 8.54 years), mostly male (57%) and had an average 8 (median, range 3–22) medications to take daily, of which 6 (median, range 3–14) were for CHF. Most managed their own medications (54%) but more than a quarter (28%) were assisted by reminding, dispensing and supervision. Compliance with medications was high (84%), although only half (53%) knew the name, main purpose and side effect of their medications. Patients with better self-efficacy (β = 2.88) and no help with medication (β = -21.05) had better medication knowledge (model F = 13.6, p = .000, R = .61, r 2 = .37). Conclusion: Older CHF patients have poor knowledge of their medications, which may be improved by promoting overall self-efficacy for disease management. Less knowledgeable patients received appropriate assistance with medications, but the consequence may be less knowledge and thus warrants further investigation.

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