User Experience Quality Analysis Method Based on Frequency Domain Characteristics of Physiological Signal

2021 ◽  
pp. 716-726
Author(s):  
Ke Sun ◽  
Yuan An ◽  
Kailiang Zhang ◽  
Ping Cui
Keyword(s):  
Frequency Domain ◽  
User Experience ◽  
Quality Analysis ◽  
Analysis Method ◽  
Physiological Signal

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.

Mine Ventilator Fault Diagnosis Based on Harmonic Wavelet Analysis

2011 ◽  
Vol 143-144 ◽  
pp. 613-617
Author(s):  
Shuang Xi Jing ◽  
Yong Chang ◽  
Jun Fa Leng
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Frequency Domain ◽  
Vibration Signal ◽  
Wavelet Function ◽  
Frequency Region ◽  
Analysis Method ◽  
Vibration Signals ◽  
Harmonic Wavelet ◽  
Frequency Components

Harmonic wavelet function, with the strict box-shaped characteristic of spectrum, has strong ability of identifying signal in frequency domain, and can extract weak components form vibration signals in frequency domain. Using harmonic wavelet analysis method, the selected frequency region and other frequency components of vibration signal of mine ventilator were decomposed into independent frequency bands without any over-lapping or leaking. Simulation and diagnosis example show that this method has good fault diagnosis effect, and the ventilator fault is diagnosed successfully.

scholarly journals QDroid: Mobile Application Quality Analyzer for App Market Curators

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Jemin Lee ◽  
Hyungshin Kim
Keyword(s):  
User Experience ◽  
Mobile Applications ◽  
Mobile Application ◽  
Quality Analysis ◽  
Resource Usage ◽  
Source Codes ◽  
Daunting Task ◽  
Quality Analyzer ◽  
Manual Review

Low quality mobile applications have damaged the user experience. However, in light of the number of applications, quality analysis is a daunting task. For that reason, QDroid is proposed, an automated quality analyzer that detects the presence of crashes, excessive resource usage, and compatibility problems, without source codes and human involvement. QDroid was applied to 67 applications for evaluation and discovered 78% more crashes and attained 23% higher Activity coverage than Monkey testing. For detecting excessive resource usage and compatibility problems, QDroid reduced the number of applications that required manual review by up to 96% and 69%, respectively.

Design criteria for pad and stencil with high pick-and-Place yield

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chien-Yi Huang ◽  
Christopher Greene ◽  
Chao-Chieh Chan ◽  
Ping-Sen Wang
Keyword(s):  
Orthogonal Array ◽  
Quality Analysis ◽  
Analysis Method ◽  
Passive Components ◽  
Content Type ◽  
Control Factors ◽  
Nano Coating ◽  
Pick And Place ◽  
Order Preference ◽  
Solder Mask

Purpose This study aims to focus on the passive components of System in Package SiP modules and discusses the geometric pad designs for 01005-sized passive components, the front end design of the hole size and shape of the stencil and the parameters of the stencil sidewall coating, to determine the optimum parameter combination. Design/methodology/approach This study plans and conducts experiments, where a L8(27) inner orthogonal array is built to consider the control factors, including a L4(23) outer orthogonal array to consider the noise factor, and the experimental data are analyzed by using the technique for order preference by similarity to ideal solution multi-quality analysis method. Findings The results show that the optimum design parameter level combination is that the solder mask opening pad has no solder mask in the lower part of the component, the pad width is 1.1 times that of the component width, the pad length is 1.75 times that of the electrode tip length, the pad spacing is 5 mil, the stencil open area is 90% of the pad area, the stencil opening corner has a 3 mil chamfer angle, and the stencil sidewall is free of nano-coating. Originality/value The parameter design and multi-quality analysis method, as proposed in this study, can effectively develop the layout of passive components on a high-density SiP module substrate, to stabilize the process and increase the production yield.

Frequency-domain analysis method for analyzing and improving the steady-state characteristics of microcantilever in tapping-mode atomic force microscopy

2018 ◽  
Vol 82 (1) ◽  
pp. 10701
Author(s):  
Xiaohui Gu ◽  
Lining Sun ◽  
Changhai Ru
Keyword(s):  
Steady State ◽  
Frequency Domain ◽  
Stability Margin ◽  
Domain Analysis ◽  
Frequency Domain Analysis ◽  
System Stability ◽  
Analysis Method ◽  
External Interference ◽  
Tapping Mode ◽  
The Stability

In tapping-mode AFM, the steady-state characteristics of microcantilever are extremely important to determine the AFM performance. Due to the external excitation signal and the tip-sample interactions, the solving process of microcantilever motion equation will become very complicated with the traditional time-domain analysis method. In this paper, we propose the novel frequency-domain analysis method to analyze and improve the steady-state characteristics of microcantilever. Compared with the previous methods, this new method has three prominent advantages. Firstly, the analytical expressions of amplitude and phase of cantilever system can be derived conveniently. Secondly, the stability of the cantilever system can be accurately determined and the stability margin can be obtained quantitatively in terms of the phase margin and the magnitude margin. Thirdly, on this basis, external control mechanism can be devised quickly and easily to guarantee the high stability of the cantilever system. With this novel method, we derive the frequency response curves and discuss the great influence of the intrinsic parameters on the system stability, which provides theoretical guidance for selecting samples to achieve better AFM images in the experiments. Moreover, we introduce a new external series correction method to significantly increase the stability margin. The results indicate that the cantilever system is no longer easily disturbed by external interference signals.

Quality analysis method for powder deposited layers applicable to selective laser sintering and selective laser melting processes

2019 ◽  
Vol 31 (2) ◽  
pp. 022306 ◽  
Author(s):  
Wei Lin ◽  
Denise Albertazzi Gonçalves ◽  
Adriano de Souza Pinto Pereira ◽  
Milton Pereira ◽  
Walter Lindolfo Weingaertner
Keyword(s):  
Selective Laser Melting ◽  
Selective Laser Sintering ◽  
Laser Sintering ◽  
Quality Analysis ◽  
Analysis Method ◽  
Laser Melting
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