Matching Items (4)
Filtering by
- All Subjects: Measurement
- Genre: Academic theses
- Creators: Karoly, Paul
- Creators: Chang, Chun
Description
Dimensional Metrology is the branch of science that determines length, angular, and geometric relationships within manufactured parts and compares them with required tolerances. The measurements can be made using either manual methods or sampled coordinate metrology (Coordinate measuring machines). Manual measurement methods have been in practice for a long time and are well accepted in the industry, but are slow for the present day manufacturing. On the other hand CMMs are relatively fast, but these methods are not well established yet. The major problem that needs to be addressed is the type of feature fitting algorithm used for evaluating tolerances. In a CMM the use of different feature fitting algorithms on a feature gives different values, and there is no standard that describes the type of feature fitting algorithm to be used for a specific tolerance. Our research is focused on identifying the feature fitting algorithm that is best used for each type of tolerance. Each algorithm is identified as the one to best represent the interpretation of geometric control as defined by the ASME Y14.5 standard and on the manual methods used for the measurement of a specific tolerance type. Using these algorithms normative procedures for CMMs are proposed for verifying tolerances. The proposed normative procedures are implemented as software. Then the procedures are verified by comparing the results from software with that of manual measurements.
To aid this research a library of feature fitting algorithms is developed in parallel. The library consists of least squares, Chebyshev and one sided fits applied on the features of line, plane, circle and cylinder. The proposed normative procedures are useful for evaluating tolerances in CMMs. The results evaluated will be in accordance to the standard. The ambiguity in choosing the algorithms is prevented. The software developed can be used in quality control for inspection purposes.
To aid this research a library of feature fitting algorithms is developed in parallel. The library consists of least squares, Chebyshev and one sided fits applied on the features of line, plane, circle and cylinder. The proposed normative procedures are useful for evaluating tolerances in CMMs. The results evaluated will be in accordance to the standard. The ambiguity in choosing the algorithms is prevented. The software developed can be used in quality control for inspection purposes.
ContributorsVemulapalli, Prabath (Author) / Shah, Jami J. (Thesis advisor) / Davidson, Joseph K. (Committee member) / Takahashi, Timothy (Committee member) / Arizona State University (Publisher)
Created2014
Description
Self-control has been shown to predict both health risk and health protective outcomes. Although top-down or “good” self-control is typically examined as a unidimensional construct, research on “poor” self-control suggests that multiple dimensions may be necessary to capture aspects of self-control. The current study sought to create a new brief survey measure of top-down self-control that differentiates between self-control capacity, internal motivation, and external motivation. Items were adapted from the Brief Self-Control Scale (BSCS; Tangney, Baumeister, & Boone, 2004) and were administered through two online surveys to 347 undergraduate students enrolled in introductory psychology courses at Arizona State University. The Self-Control Motivation and Capacity Survey (SCMCS) showed strong evidence of validity and reliability. Exploratory and confirmatory factor analyses supported a 3-factor structure of the scale consistent with the underlying theoretical model. The final 15-item measure demonstrated excellent model fit, chi-square = 89.722 p=.077, CFI = .989, RMSEA = .032, SRMR = .045. Despite several limitations including the cross-sectional nature of most analyses, self-control capacity, internal motivation, and external motivation uniquely related to various self-reported behavioral outcomes, and accounted for additional variance beyond that accounted for by the BSCS. Future studies are needed to establish the stability of multiple dimensions of self-control, and to develop state-like and domain-specific measures of self-control. While more research in this area is needed, the current study demonstrates the importance of studying multiple aspects of top-down self-control, and may ultimately facilitate the tailoring of interventions to the needs of individuals based on unique profiles of self-control capacity and motivation.
ContributorsPapova, Anna (Author) / Corbin, William R. (Thesis advisor) / Karoly, Paul (Committee member) / Brewer, Gene (Committee member) / Arizona State University (Publisher)
Created2016
Description
Self-control has been shown to be an important influence behind a variety of risk and protective behaviors, such as substance abuse. Although prior research points to the existence of multiple dimensions of self-control, this concept is not consistently defined and frequently only studied as a conglomerate in clinical research. The current study sought to examine how two experimental manipulations of subcomponents of self-control (motivation and self-efficacy) affect real-world consumptive behavior after accounting for executive function. Additionally, the validity and reliability of a brief state survey measure of perceived self-control capacity, internal motivation, and external motivation was tested. The goal was to examine how basic scientific principles involved in self-control translate into clinically relevant behaviors, which may inform understanding of momentary lapses in self-control behavior, potentially leading to novel prevention and intervention efforts. 94 college students completed a 1-2 hour laboratory protocol during which they completed survey and laboratory-based tasks of self-control and related behaviors, executive function, and ad libitum alcohol consumption. Results showed that the self-efficacy manipulation successfully increased perceived self-control capacity, although this did not lead to a significant reduction in consumption. The motivation manipulation neither increased motivation nor reduced consumption in this sample. However, the brief state survey measure of self-control subcomponents demonstrated strong test-retest reliability and distinction from trait self-control, demonstrating its viability for use in future research. By elucidating the relationships between specific mechanisms of self-control, laboratory-based tasks and manipulations, and real-world consumptive behaviors, prevention and intervention efforts for problems such as alcohol abuse may be tailored to the needs of the individual and made more impactful and cost-effective.
ContributorsPapova, Anna (Author) / Corbin, William R. (Thesis advisor) / Brewer, Gene (Committee member) / Karoly, Paul (Committee member) / McClure, Samuel (Committee member) / Arizona State University (Publisher)
Created2020
Description随着中国居民消费占GDP比例的提升，人均GDP的增长，银行等贷款机构对个人和零售业务的长期发展，中国金融机构的个人贷款不良资产规模发生了很大的变化。居民个人对外负债主要是以债权方式体现。基于债权的一致性，对于借贷人的个人外部负债缺少特定的强制性的偿贷顺序安排，偿贷行为也不会受到法律框架的强制约束，导致借贷人在偿贷能力不足时，个体的主观意愿对于偿贷行为结果的影响显著。
既往的个人贷款不良资产管理和服务模式，均参照企业贷款不良资产管理和服务模式，体现出在标的资产的产品特点、信贷主体差异、法律完备性、对公共基础服务支撑要求等方面存在显著的不同。原有针对企业贷款不良资产的管理和服务模式在适应个人贷款不良资产管理和服务时，也就需要采用不同的方式和策略，所以，优化、提升对于借贷人的管理和服务模式就存在必要的调整和优化空间。
由于借贷人的自然人属性，区别于企业的法人属性，其生命周期自然存续期间，偿贷能力存在修复的可能，外部征信环境的改善，也会对个人贷款不良资产的产生影响。现有的个人贷款不良资产的管理和服务模式也需要做出必要的调整过和安排。
21世纪前20年，互联网/通讯/IT技术发展迅速，AI、BigData、Blockchain等技术逐渐成熟，对厘清个人贷款不良资产偿贷机制提供了必要的基础数据。在此基础上，运用日趋完备的信息不对称和行为决策等理论工具，对既有对个人贷款不良资产管理和服务模式做出优化和调整就存在可能性。
本文基于P2P个人贷款不良资产管理和服务过程中形成的数据，选取金额回款率和失联事件发生率来计量借款人的行为决策结果，通过对这两个指标在个人贷款不良资产管理和服务中呈现的规律进行分析，初步厘清了个人贷款不良资产的偿贷过程中的行为决策机制，在既有框架基础上，对个人贷款不良资产管理和服务中的资产定价优化、资产交易模式、管理和服务机构评价、不良资产策略管理策略、催收服务策略等提供提供了有益的补充。
ContributorsGuo, Dagang (Author) / Huang, Xiaochuan (Thesis advisor) / Chang, Chun (Thesis advisor) / Zhu, Ning (Committee member) / Hong, Yili (Committee member) / Arizona State University (Publisher)
Created2021