scholarly journals New Extended Quantitative Local and Global Regularity Index for Single- and Multiframe RC Bridges Based on Modal Vector Correlation

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Elham Aboutorabian ◽  
Morteza Raissi Dehkordi
Keyword(s):  
Global Regularity ◽  
Regularity Criterion ◽  
Mode Shapes ◽  
Analysis Method ◽  
Vector Correlation ◽  
Regularity Index ◽  
Design Requirements ◽  
Linear Demand ◽  
And Performance ◽  
Spatial Locations

Seismic demand and performance of bridges are highly dependent upon the level of irregularity. Although previous studies have proposed methodologies so as to quantify the irregularity of the bridges in terms of global regularity index, it still remains unclear how to determine the distribution of irregularity along a bridge, as well as to discover the irregularity sources. This research project is intended to develop a quantitative vector regularity criterion for single- and multiframe bridges based on the modified correlation function for spatial locations of scaled mode shapes of deck-alone and whole bridge. The proposed criterion calculates two types of regularity indices, namely, local (LRI) and global regularity indices (GRI). The GRI is a scalar value representing the overall regularity of the entire bridge, whereas the LRI highlights vector irregularity distribution along the bridge. Since the deck discontinuity due to the in-span hinges is one of the leading causes for irregularity, the proposed index has been employed in case of multiframe bridges as well. Furthermore, the current study aims to investigate the correlation between the proposed irregularity indicators and the nonlinear to linear demand ratio. Therefore, the appropriate analysis method can be chosen based on irregularity extent of bridges. Obtained results of the proposed indices reveal that in-span hinge is one of the main parameters affecting the distribution of local irregularity along a bridge. Therefore, multiframe bridges need to be investigated in detail so as to validate the special design requirements recommended by design codes.

TANGGAPAN WAJIB PAJAK TERHADAP KUALITAS PELAYANAN DILIHAT DARI TINGKAT KEPENTINGAN DAN KINERJA PADA KANTOR PELAYANAN PAJAK KOTA BOGOR

2018 ◽  
Vol 2 (01) ◽  
pp. 14
Author(s):  
Eddy Supardi
Keyword(s):  
Performance Analysis ◽  
Service Quality ◽  
Descriptive Analysis ◽  
Good Work ◽  
Satisfaction Level ◽  
Quality Service ◽  
Analysis Method ◽  
And Performance ◽  
Personal Tax

The Tax Payer obidience in fulfiling their taxation obligation will be influenced a lot by the satisfaction level toward the service fiscus. The aim of this observation is to know the response of Tax Payer toward service quality through importance and performance. The population which become the object of this observation is the personal Tax Payer registered in Bogor Tax Service Office and the number of respondents taken as the sample are 100 respondents with Slovin formula. The analysis method used is descriptive analysis and importance-performance analysis.   The result of this observation will be able to be used as one of the input to Bogor Tax Service Office in improving the quality service and for the following observation, especially those who take the same object as the observation in order to improve the quality service to the Tax Payer based on the service of its working way which is felt less. Otherwise it is important for The Tax Payer, maintaining the good work or balancing the service quality based on the working way which is evaluated less important by The Taxe Payer, but has been done reasonably well or very well by The Service Office

scholarly journals Spatially Resolved Experimental Modal Analysis on High-Speed Composite Rotors Using a Non-Contact, Non-Rotating Sensor

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4705
Author(s):  
Julian Lich ◽  
Tino Wollmann ◽  
Angelos Filippatos ◽  
Maik Gude ◽  
Juergen Czarske ◽  
...  
Keyword(s):  
High Speed ◽  
Natural Frequencies ◽  
Mode Shapes ◽  
Fiber Reinforced ◽  
Structural Dynamic ◽  
Spatially Resolved ◽  
Glass Fiber Reinforced ◽  
Vibration Responses ◽  
And Performance

Due to their lightweight properties, fiber-reinforced composites are well suited for large and fast rotating structures, such as fan blades in turbomachines. To investigate rotor safety and performance, in situ measurements of the structural dynamic behaviour must be performed during rotating conditions. An approach to measuring spatially resolved vibration responses of a rotating structure with a non-contact, non-rotating sensor is investigated here. The resulting spectra can be assigned to specific locations on the structure and have similar properties to the spectra measured with co-rotating sensors, such as strain gauges. The sampling frequency is increased by performing consecutive measurements with a constant excitation function and varying time delays. The method allows for a paradigm shift to unambiguous identification of natural frequencies and mode shapes with arbitrary rotor shapes and excitation functions without the need for co-rotating sensors. Deflection measurements on a glass fiber-reinforced polymer disk were performed with a diffraction grating-based sensor system at 40 measurement points with an uncertainty below 15 μrad and a commercial triangulation sensor at 200 measurement points at surface speeds up to 300 m/s. A rotation-induced increase of two natural frequencies was measured, and their mode shapes were derived at the corresponding rotational speeds. A strain gauge was used for validation.

Nondestructive Test on Typical Roadway Supports of a Mine via Drilling Core and Ground Penetrating Radar

2011 ◽  
Vol 368-373 ◽  
pp. 2411-2416
Author(s):  
Jian Ping Han ◽  
Hai Peng Liu
Keyword(s):  
Ground Penetrating Radar ◽  
Geological Structure ◽  
Surrounding Rock ◽  
Potential Threat ◽  
Real Performance ◽  
Design Requirements ◽  
And Performance ◽  
The Stability ◽  
Ground Penetrating ◽  
Drilling Core

Temporary or permanent supports are necessary in underground construction for maintaining the stability and limiting the damage of surrounding rock. Due to the uncertainty of geological structure, the specificity of the underground environment as well as other factors, the quality and performance of supporting structure are often difficult to satisfy the design requirements, which not only seriously affects the normal construction and operation of mines but also has the potential threat to the safety of underground production. In order to investigate the influence of the unfavorable geologic environment on supporting concrete and evaluate the real performance of roadway supports of a mine, 17 typical projects were chosen and the strength of supporting concrete was detected by nondestructive drilling core method. The result shows that the strength is widely less than the design value. Furthermore, 4 projects of them were investigated by the ground penetrating radar (GPR) in order to evaluate the feasibility of GPR in the performance investigation of the roadway supports of a mine. The results indicate that ground penetrating radar is capable of measuring the thickness of the support, the distribution of rebars and the defects of the surrounding rock.

scholarly journals Big Data Analytics in E-commerce for the U.S. and China Through Literature Reviewing

2021 ◽  
Vol 9 (1) ◽  
pp. 16-44
Author(s):  
Weiqing Zhuang ◽  
Morgan C. Wang ◽  
Ichiro Nakamoto ◽  
Ming Jiang
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Web Of Science ◽  
Big Data Analytics ◽  
Theoretical Research ◽  
Analysis Method ◽  
Theoretical Comparison ◽  
Statistical Analysis Method ◽  
And Performance ◽  
The U.S

Abstract Big data analytics (BDA) in e-commerce, which is an emerging field that started in 2006, deeply affects the development of global e-commerce, especially its layout and performance in the U.S. and China. This paper seeks to examine the relative influence of theoretical research of BDA in e-commerce to explain the differences between the U.S. and China by adopting a statistical analysis method on the basis of samples collected from two main literature databases, Web of Science and CNKI, aimed at the U.S. and China. The results of this study help clarify doubts regarding the development of China’s e-commerce, which exceeds that of the U.S. today, in view of the theoretical comparison of BDA in e-commerce between them.

scholarly journals PENGARUH KOMPENSASI FINANSIAL DAN NON FINANSIAL TERHADAP KINERJA KARYAWAN PT. BANK SYARIAH X MELALUI MOTIVASI KERJA SEBAGAI VARIABEL INTERVENING

2020 ◽  
Vol 22 (1) ◽  
pp. 42-50
Author(s):  
Rizky Aprilia Ayu Wardani
Keyword(s):  
Work Motivation ◽  
Partial Least Square ◽  
Least Square ◽  
Mediating Effect ◽  
Significant Positive Effect ◽  
Analysis Method ◽  
Indirect Influence ◽  
Pls Analysis ◽  
And Performance ◽  
Positive Effect

Abstract – performance is a record of the outcome of the function of a particular job or activity of an employee for a certain period of time (Gomes, 2000). This study aims to examine the effect of compensation financial and compensation non financial on performance of employee with motivation as intervening variabel involving 35 people as respondent with using partial least square (PLS) analysis method and sobel tests to test the mediating effect. Data were obtained through observation and questionnaire distribution.This study shows two point, first compensation financial has a significant positive effect on work motivation and work motivation has a significant positive effect on employee’s performance. Indirect influence between compensation financial on performance of employee through work motivation that is partial of mediation due to the effect between compensation financial variable on performance also significant. Second, compensation non financial has a significant positive effect on work motivation. Indirect influence between compensation non financial on performance through work motivation that is full of mediation due to the effect between compensation non financial variable on performance of employee not significant. Keywords:  compensation financial, compensation non financial, work motivation, and performance of employee

scholarly journals SERVICE QUALITY ANALYSIS OF TWO OF THE LARGEST RETAIL CHAINS WITH MINIMART CONCEPT IN INDONESIA

2018 ◽  
Vol 19 (0) ◽  
pp. 177-185
Author(s):  
Hendy Tannady ◽  
Filscha Nurprihatin ◽  
Hendy Hartono
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Quality Analysis ◽  
Satisfaction Level ◽  
Quality Service ◽  
Analysis Method ◽  
High Expectations ◽  
Perceived Satisfaction ◽  
Retail Chains ◽  
And Performance

Service quality is important because it makes prices more affordable, and also fulfils customer satisfaction. This bolsters trust for customers, and thereby encourages them to keep buying products at retail stores. This research uses Quality Service Analysis method to understand the gap between customers’ expectations regarding service attributes and their perceived satisfaction level. This study also uses the method of Importance and Performance Analysis to determine an attribute’s category. Therefore, it can determine which priorities should be reinforced to improve customer satisfaction. Through SERVQUAL analysis, there are 10 known attributes of each retailer that has the highest gap score. Through IPA analysis, we know that Alfamart has 7 attributes which warrant serious attention from management. This is due to the high expectations of customers on the indicator, and the fact that the management has not managed well. Meanwhile, Indomaret has 9 attributes that warrant serious attention from management.

H∞ loop Shaping Robust Postprandial Glucose Control for Type 1 Diabetes

2021 ◽  
Vol 39 (2A) ◽  
pp. 268-279
Author(s):  
Safa F. Fadhel ◽  
Safanah M. Raafat
Keyword(s):  
Blood Glucose Concentration ◽  
Artificial Pancreas ◽  
Postprandial Glucose ◽  
Robust Controller ◽  
Control Effort ◽  
Loop Shaping ◽  
Design Requirements ◽  
And Performance

The Bergman model is one of the most commonly used models applied to the representation of the artificial pancreas (AP). It is important to study the effects of the insulin infusion on blood glucose concentration. This work includes a case study for the design of a robust controller for an AP. Robustness is a structured control that improves a system's ability to keep its stability and performance under various conditions. The proposed H∞ loop shaping HLS method will fulfill the design requirements of robust control and performance. The results of the simulation prove the superiority of the intended approach in terms of simple structure, robust performance, and stability with the least control effort

Viterbi Decoder in Hardware

2018 ◽  
pp. 6307-6318
Author(s):  
Mário Pereira Véstias
Keyword(s):  
Maximum Likelihood ◽  
Viterbi Algorithm ◽  
Viterbi Decoder ◽  
Maximum Likelihood Decoding ◽  
High Data ◽  
Design Requirements ◽  
Trellis Decoding ◽  
And Performance ◽  
Viterbi Decoders ◽  
Very High

Trellis decoding is used to recover encoded information that was corrupted during transmission over a noisy channel. The Viterbi algorithm is the most well known trellis-based maximum likelihood decoding algorithm. The Viterbi algorithm is executed by a Viterbi decoder. Different hardware solutions may be considered to implement a Viterbi decoder with different design requirements in terms of area, performance, power consumption, among others. The most appropriate solution depends on the metric requirements of the application as well as on the target technology. Properties of the Viterbi algorithm are used to simplify and improve the architecture of the Viterbi decoder. In particular, statistical properties of the Viterbi algorithm are used to design parallel Viterbi decoders with very high data decoding rates. The article focuses on the implementation of a Viterbi decoder in hardware, including optimizations to improve the area and performance.

Cluster Analysis Using N-gram Statistics for Daihinmin Programs and Performance Evaluations

2016 ◽  
Vol 4 (2) ◽  
pp. 33-57 ◽  
Author(s):  
Seiya Okubo ◽  
Takaaki Ayabe ◽  
Tetsuro Nishino
Keyword(s):  
Cluster Analysis ◽  
Imperfect Information ◽  
Computer Game ◽  
Computer Experiments ◽  
Performance Evaluations ◽  
Analysis Method ◽  
Cluster Analysis Method ◽  
N Gram ◽  
And Performance ◽  
Feature Values

In this paper, the authors elucidate the characteristics of the computer game Daihinmin, a popular Japanese card game that uses imperfect information. They first propose a method to extract feature values using n-gram statistics and a cluster analysis method that employs feature values. By representing the program card hands as several symbols, and the order of hands as simplified symbol strings, they obtain data that is suitable for feature extraction. The authors then evaluate the effectiveness of the proposed method through computer experiments. In these experiments, they apply their method to ten programs that were used in the UEC Computer Daihinmin Convention. In addition, the authors evaluate the robustness of the proposed method and apply it to recent programs. Finally, they show that their proposed method can successfully cluster Daihinmin programs with high probability.

High-Throughput Characterization of Composition and Performance of Titanium Alloys Based on Nanoindentation Technology and EPMA

2021 ◽  
Vol 871 ◽  
pp. 20-26
Author(s):  
Yu Gao ◽  
Hong Yu ◽  
Yu Zhou ◽  
Xin Jie Zhu ◽  
Qun Bo Fan
Keyword(s):  
Titanium Alloy ◽  
High Throughput ◽  
Alloy Composition ◽  
Analysis Method ◽  
Experimental Scheme ◽  
Test Efficiency ◽  
And Performance ◽  
High Throughput Experiments ◽  
The Relationship

Traditional high-throughput experiments increase the test efficiency by designing component gradient tests and other methods. This article intends to improve the traditional high-throughput experiments and proposes an experimental scheme combining nanoindentation technology and electron probe microanalysis (EPMA). Based on a new Ti-Mo-Al-Zr-Cr-Sn alloy, micro-region composition and corresponding performance at multiple indentations are directly characterized, including a series of different alloy compositions composed of 8 elements such as Mo, Al and the corresponding hardness (H) and elastic modulus (E). Then the principal analysis method in statistics, the theory of molybdenum equivalent and aluminum equivalent are used to process the obtained data, and a series of atlases such as "E-H-component characteristic parameters" and "E-H-alloy equivalents" are constructed, which has achieved high-throughput characterization of the relationship between composition and performance of titanium alloy. Related work can not only quickly determine the alloy composition range corresponding to high E and high H values, but also provide guidance for further optimization of titanium alloy composition design.

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