Gating factor analysis of maximum power reduction in multicluster LTE-A uplink transmission

2013 ◽  
Author(s):  
Vesa Lehtinen ◽  
Toni Lahteensuo ◽  
Petri Vasenkari ◽  
Antti Piipponen ◽  
Mikko Valkama
Keyword(s):  
Factor Analysis ◽  
Power Reduction ◽  
Maximum Power

A New Technique for Designing Low-Power High-Speed Domino Logic Circuits in FinFET Technology

2019 ◽  
Vol 28 (10) ◽  
pp. 1950165 ◽  
Author(s):  
Sandeep Garg ◽  
Tarun K. Gupta
Keyword(s):  
Low Power ◽  
High Speed ◽  
Supply Voltage ◽  
Complementary Metal Oxide Semiconductor ◽  
Cmos Technology ◽  
Power Reduction ◽  
Maximum Power ◽  
Oxide Semiconductor ◽  
Domino Logic ◽  
Maximum Delay

In this paper, a fin field-effect transistor (FinFET)-based domino technique dynamic node-driven feedback transistor domino logic (DNDFTDL) is designed for low-power, high-speed and improved noise performance. In the proposed domino technique, the concept of current division is explored below the evaluation network for enhancement of performance parameters. Simulations are carried out for 32-nm complementary metal–oxide–semiconductor (CMOS) and FinFET node using HSPICE for 2-, 4-, 8- and 16-input OR gates with a DC supply voltage of 0.9[Formula: see text]V. Proposed technique shows a maximum power reduction of 73.93% in FinFET short-gate (SG) mode as compared to conditional stacked keeper domino logic (CSKDL) technique and a maximum power reduction of 72.12% as compared to modified high-speed clocked delay domino logic (M-HSCD) technique in FinFET low-power (LP) mode. The proposed technique shows a maximum delay reduction of 35.52% as compared to voltage comparison domino (VCD) technique in SG mode and a reduction of 25.01% as compared to current mirror footed domino logic (CMFD) technique in LP mode. The unity noise gain (UNG) of the proposed circuit is 1.72–[Formula: see text] higher compared to different existing techniques in FinFET SG mode and is 1.42–[Formula: see text] higher in FinFET LP mode. The Figure of Merit (FOM) of the proposed circuit is up to [Formula: see text] higher as compared to existing domino logic techniques because of lower values of power, delay and area and higher values of UNG of the proposed circuit. In addition, the proposed technique shows a maximum power reduction of up to 68.64% in FinFET technology as compared to its counterpart in CMOS technology.

Factor Analysis of Measures of Articulation, Language, Auditory Processing, Reading-Spelling, and Maxillofacial Structure

1977 ◽  
Vol 20 (2) ◽  
pp. 319-324
Author(s):  
Anita F. Johnson ◽  
Ralph L. Shelton ◽  
William B. Arndt ◽  
Montie L. Furr
Keyword(s):  
Factor Analysis ◽  
Clinical Judgment ◽  
Auditory Processing

This study was concerned with the correspondence between the classification of measures by clinical judgment and by factor analysis. Forty-six measures were selected to assess language, auditory processing, reading-spelling, maxillofacial structure, articulation, and other processes. These were applied to 98 misarticulating eight- and nine-year-old children. Factors derived from the analysis corresponded well with categories the measures were selected to represent.

Evidence-based subtypes in functional dyspepsia with confirmatory factor analysis: Psychosocial and physiopathological correlates

2001 ◽  
Vol 120 (5) ◽  
pp. A51-A52 ◽  
Author(s):  
B FISCHLER ◽  
J VANDENBERGHE ◽  
P PERSOONS ◽  
V GUCHT ◽  
D BROEKAERT ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Functional Dyspepsia ◽  
Evidence Based ◽  
Confirmatory Factor

The French Version of the Revised Child Anxiety and Depression Scale (RCADS) in a Nonclinical Sample

2015 ◽  
Vol 74 (3) ◽  
pp. 119-127 ◽  
Author(s):  
Martine Bouvard ◽  
Anne Denis ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Anxiety Disorder ◽  
Confirmatory Factor Analysis ◽  
Generalized Anxiety Disorder ◽  
Child Anxiety ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Generalized Anxiety ◽  
French Version ◽  
Confirmatory Factor

This article investigates the psychometric properties of the Revised Child Anxiety and Depression Scale (RCADS). A group of 704 adolescents completed the questionnaires in their classrooms. This study examines potential confirmatory factor analysis factor models of the RCADS as well as the relationships between the RCADS and the Screen for Child Anxiety Related Emotional Disorders-Revised (SCARED-R). A subsample of 595 adolescents also completed an anxiety questionnaire (Fear Survey Schedule for Children-Revised, FSSC-R) and a depression questionnaire (Center for Epidemiological Studies Depression Scale, CES-D). Confirmatory factor analysis of the RCADS suggests that the 6-factor model reasonably fits the data. All subscales were positively intercorrelated, with rs varying between .48 (generalized anxiety disorder-major depression disorder) and .65 (generalized anxiety disorder-social phobia/obsessive-compulsive disorder). The RCADS total score and all the RCADS scales were found to have good internal consistency (> .70). The correlations between the RCADS subscales and their SCARED-R counterparts are generally substantial. Convergent validity was found with the FSSC-R and the CES-D. The study included normal adolescents aged 10 to 19. Therefore, the findings cannot be extended to children under 10, nor to a clinical population. Altogether, the French version of the RCADS showed reasonable psychometric properties.

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