scholarly journals Production Quality Improvements and Energy Cost Reductions Associated With Compressed Air

2006 ◽  
Author(s):  
Mark Krisa ◽  
David Voelker
Keyword(s):  
Production Quality ◽  
Production Equipment ◽  
Compressed Air ◽  
Quality Improvements ◽  
Citrus Industry ◽  
Point Of Use ◽  
Discharge Location ◽  
Supply Equipment ◽  
The Difference ◽  
And Performance

Compressed air is utilized throughout various production processes in the citrus industry and can influence production quality and operating costs. Within production equipment, compressed air is expanded from a higher pressure to perform various tasks. The pressure ahead of the final discharge location can have a direct impact on the operation of the specific process. Article pressure is the term used to describe the pressure located closest to the point where air is expanded to do work. Article pressure can be influenced by many variables that exist between supply equipment (compressors) and the point of use. Understanding the relationship between the supply pressure and the article pressure will facilitate the ability to maximize the repeatability and performance of production equipment and minimize the supply power required to operate the compressed air system. This paper will discuss variables that influence the difference between the pressure supplied by the compressor station and the pressure utilized within the production equipment. Illustrations and field examples will be utilized to describe issues. Troubleshooting methods will be discussed along with a description of how to trend variables that influence production so problems can be corrected before they influence productivity. Paper published with permission.

A Modification of the Payne-Jones Method of Identifying Abnormal Differences in WISC-R Performance and Verbal IQ's

1996 ◽  
Vol 12 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Louis M. Hsu
Keyword(s):  
Full Scale ◽  
True Score ◽  
Verbal Iq ◽  
Score Difference ◽  
The Difference ◽  
And Performance

The difference (D) between a person's Verbal IQ (VIQ) and Performance IQ (PIQ) has for some time been considered clinically meaningful ( Kaufman, 1976 , 1979 ; Matarazzo, 1990 , 1991 ; Matarazzo & Herman, 1985 ; Sattler, 1982 ; Wechsler, 1984 ). Particularly useful is information about the degree to which a difference (D) between scores is “abnormal” (i.e., deviant in a standardization group) as opposed to simply “reliable” (i.e., indicative of a true score difference) ( Mittenberg, Thompson, & Schwartz, 1991 ; Silverstein, 1981 ; Payne & Jones, 1957 ). Payne and Jones (1957) proposed a formula to identify “abnormal” differences, which has been used extensively in the literature, and which has generally yielded good approximations to empirically determined “abnormal” differences ( Silverstein, 1985 ; Matarazzo & Herman, 1985 ). However applications of this formula have not taken into account the dependence (demonstrated by Kaufman, 1976 , 1979 , and Matarazzo & Herman, 1985 ) of Ds on Full Scale IQs (FSIQs). This has led to overestimation of “abnormality” of Ds of high FSIQ children, and underestimation of “abnormality” of Ds of low FSIQ children. This article presents a formula for identification of abnormal WISC-R Ds, which overcomes these problems, by explicitly taking into account the dependence of Ds on FSIQs.

scholarly journals Design and Performance Analysis of Grid Connected Photovoltaic (GCPV) based DSTATCOM for Power Quality Improvements

2021 ◽  
Vol 1878 (1) ◽  
pp. 012032
Author(s):  
N H Baharudin ◽  
M A H Ridzwan ◽  
T M N T Mansur ◽  
R Ali ◽  
K Ananda-Rao ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Power Quality ◽  
Quality Improvements ◽  
And Performance

Organizational Support for Professionalism, Organizational Citizenship Behavior (OCB), and Performance

2021 ◽  
Vol 10 (1) ◽  
pp. 1-12
Author(s):  
Noviana Norrohmat ◽  
Umar Nimran ◽  
Kusdi Raharjo ◽  
Hamidah Nayati Utami ◽  
Endang Siti Astuti
Keyword(s):  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Organizational Support ◽  
Citizenship Behavior ◽  
Research Approach ◽  
The Difference ◽  
And Performance ◽  
Relationship Of ◽  
Descriptive Survey ◽  
The Relationship

The purpose of this research is to determine the organizational support for professionalism that has never been done before. The research approach is to conceptualize the structure of the relationship of variables from a study. Verification research is to test the hypothesis through data collection in the field using two methods, namely descriptive survey and explanatory survey. The use of both methods aims to analyze the causality relationship between research variables in accordance with the hypothesis quantitatively. There is significant influence between the variables of organizational support to professional variables. However, different results are found on the influence of organizational support variables on OCB and performance that have no significant effect. There is also an indirect influence between organizational support variables on OCB and performance through intermediary intervening professionalism variables. The difference between this research and the previous research are the use of constructs and the measurement in the unit of analysis being used.

scholarly journals Corporate reputation

2018 ◽  
Vol 25 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Vanessa Pires ◽  
Guilherme Trez
Keyword(s):  
Organizational Performance ◽  
Corporate Reputation ◽  
Research Field ◽  
Social Implication ◽  
Public Companies ◽  
Content Type ◽  
Theoretical Paper ◽  
The Difference ◽  
And Performance ◽  
The Relationship

Purpose The purpose of this paper is to discuss the different approaches to the corporate reputation construct, in order to identify a comprehensive definition that can be used for measurement purposes, gaps identified by previous literature identified. Design/methodology/approach This is a theoretical essay. The authors analyzed studies that involve the relationship between corporate reputation and organizational performance, and the attributes of national and international corporate reputation ratings. Findings The authors identified a more comprehensive definition for the reputation construct, and indicated courses for the construct’s measurement, by considering: the judgment by the stakeholders (internal, suppliers, clients and the financial market); periodical evaluations under different organizational perspectives; attention to theoretical assumptions, among other aspects. Research limitations/implications The study is a theoretical paper that presents that the research field has many definitions that cannot be used interchangeably. It indicated how the reputation construct should be operationalized for measurement purposes. This study presented a reflection on the relationship between corporate reputation and performance, showing that it is not a settled topic in the academy. Practical implications The study advances the understanding of the reputation construct measurement, considering the adopted definition and the discussion of the attributes of the main ratings on corporate reputation. The adoption of a measurement method that takes into account the definition used in this study and the features of the methodologies discussed will improve the corporate reputation assessment. Social implications Literature indicates that a good corporate reputation can affect organizational performance and the inverse relationship is also true. As a social implication, it is extremely relevant to improve the understanding the definition and measurement methods of this construct. Originality/value This study discusses one of the most important intangible resources for organizations, contributing to the understanding of the difference between the market value and the book value of public companies. Besides it should be considered that there is one lack of a definition directly related to the measurement of the reputation construct in the literature, a gap in which this study contributes.

scholarly journals Blind Image Deblurring Based on Local Edges Selection

2019 ◽  
Vol 9 (16) ◽  
pp. 3274
Author(s):  
Han ◽  
Kan
Keyword(s):  
Image Deblurring ◽  
Color Images ◽  
Clear Image ◽  
Blind Image Deblurring ◽  
Alternating Direction ◽  
Dark Channel ◽  
The Difference ◽  
And Performance ◽  
Image Edges ◽  
Blind Image

The edges of images are less sparse when images become blurred. Selecting effective image edges is a vital step in image deblurring, which can help us to build image deblurring models more accurately. While global edges selection methods tend to fail in capturing dense image structures, the edges are easy to be affected by noise and blur. In this paper, we propose an image deblurring method based on local edges selection. The local edges are selected by the difference between the bright channel and the dark channel. Then a novel image deblurring model including local edges regularization term is established. The obtaining of a clear image and blurring kernel is based on alternating iterations, in which the clear image is obtained by the alternating direction method of multipliers (ADMM). In the experiments, tests are carried out on gray value images, synthetic color images and natural color images. Compared with other state-of-the-art blind image deblurring methods, the visualization results and performance verify the effectiveness of our method.

scholarly journals MRA-SNet: Siamese Networks of Multiscale Residual and Attention for Change Detection in High-Resolution Remote Sensing Images

2021 ◽  
Vol 13 (22) ◽  
pp. 4528
Author(s):  
Xin Yang ◽  
Lei Hu ◽  
Yongmei Zhang ◽  
Yunqing Li
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Change Detection ◽  
Remote Sensing Image ◽  
Image Features ◽  
Remote Sensing Images ◽  
The Rich ◽  
The Difference ◽  
Basic Network ◽  
And Performance

Remote sensing image change detection (CD) is an important task in remote sensing image analysis and is essential for an accurate understanding of changes in the Earth’s surface. The technology of deep learning (DL) is becoming increasingly popular in solving CD tasks for remote sensing images. Most existing CD methods based on DL tend to use ordinary convolutional blocks to extract and compare remote sensing image features, which cannot fully extract the rich features of high-resolution (HR) remote sensing images. In addition, most of the existing methods lack robustness to pseudochange information processing. To overcome the above problems, in this article, we propose a new method, namely MRA-SNet, for CD in remote sensing images. Utilizing the UNet network as the basic network, the method uses the Siamese network to extract the features of bitemporal images in the encoder separately and perform the difference connection to better generate difference maps. Meanwhile, we replace the ordinary convolution blocks with Multi-Res blocks to extract spatial and spectral features of different scales in remote sensing images. Residual connections are used to extract additional detailed features. To better highlight the change region features and suppress the irrelevant region features, we introduced the Attention Gates module before the skip connection between the encoder and the decoder. Experimental results on a public dataset of remote sensing image CD show that our proposed method outperforms other state-of-the-art (SOTA) CD methods in terms of evaluation metrics and performance.

scholarly journals Static Profiling of Assembly Code Performance and Optimization Effectiveness using Instructions Performed and Program Latency

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1463-1468
Keyword(s):  
Assembly Language ◽  
Optimization Method ◽  
Program Optimization ◽  
Low Level ◽  
Code Performance ◽  
Execution Speed ◽  
The Difference ◽  
And Performance ◽  
High Level ◽  
Optimization And Performance

Software program optimization for improved execution speed can be achieved through modifying the program. Programs are usually written in high level languages then translated into low level assembly language. More coverage of optimization and performance analysis can be performed on low level than high level language. Optimization improvement is measured in the difference in program execution performance. Several methods are available for measuring program performance are classified into static approaches and dynamic approaches. This paper presents an alternative method of more accurately measuring code performance statically than commonly used code analysis metrics. New metrics proposed are designed to expose effectiveness of optimization performed on code, specifically unroll optimizations. An optimization method, loop unroll is used to demonstrate the effectiveness of the increased accuracy of the proposed metric. The results of the study show that measuring Instructions Performed and Instruction Latency is a more accurate static metric than Instruction Count and subsequently those based on it.

scholarly journals An Experimental Analysis of Model Compression Techniques for Object Detection

2020 ◽  
Author(s):  
Andrey De Aguiar Salvi ◽  
Rodrigo Coelho Barros
Keyword(s):  
Object Detection ◽  
Experimental Analysis ◽  
State Of The Art ◽  
Neural Architecture ◽  
Model Compression ◽  
Processing Power ◽  
Benchmark Datasets ◽  
The Difference ◽  
And Performance ◽  
Consumption Constraints

Recent research on Convolutional Neural Networks focuses on how to create models with a reduced number of parameters and a smaller storage size while keeping the model’s ability to perform its task, allowing the use of the best CNN for automating tasks in limited devices, with reduced processing power, memory, or energy consumption constraints. There are many different approaches in the literature: removing parameters, reduction of the floating-point precision, creating smaller models that mimic larger models, neural architecture search (NAS), etc. With all those possibilities, it is challenging to say which approach provides a better trade-off between model reduction and performance, due to the difference between the approaches, their respective models, the benchmark datasets, or variations in training details. Therefore, this article contributes to the literature by comparing three state-of-the-art model compression approaches to reduce a well-known convolutional approach for object detection, namely YOLOv3. Our experimental analysis shows that it is possible to create a reduced version of YOLOv3 with 90% fewer parameters and still outperform the original model by pruning parameters. We also create models that require only 0.43% of the original model’s inference effort.

Sign in / Sign up

Export Citation Format

Share Document