Machine learning and its applications in reliability analysis systems

In this thesis, we are interested in exploring some aspects of Machine Learning (ML) and its application in the Reliability Analysis systems (RAs). We begin by investigating some ML paradigms and their- techniques, go on to discuss the possible applications of ML in improving RAs performance, and lastly give guidelines of the architecture of learning RAs. Our survey of ML covers both levels of Neural Network learning and Symbolic learning. In symbolic process learning, five types of learning and their applications are discussed: rote learning, learning from instruction, learning from analogy, learning from examples, and learning from observation and discovery. The Reliability Analysis systems (RAs) presented in this thesis are mainly designed for maintaining plant safety supported by two functions: risk analysis function, i.e., failure mode effect analysis (FMEA) ; and diagnosis function, i.e., real-time fault location (RTFL). Three approaches have been discussed in creating the RAs. According to the result of our survey, we suggest currently the best design of RAs is to embed model-based RAs, i.e., MORA (as software) in a neural network based computer system (as hardware). However, there are still some improvement which can be made through the applications of Machine Learning. By implanting the 'learning element', the MORA will become learning MORA (La MORA) system, a learning Reliability Analysis system with the power of automatic knowledge acquisition and inconsistency checking, and more. To conclude our thesis, we propose an architecture of La MORA

Measuring measuring: Toward a theory of proficiency with the Constructing Measures framework

This paper is relevant to measurement educators who are interested in the variability of understanding and use of the four building blocks in the Constructing Measures framework (Wilson, 2005). It proposes a uni-dimensional structure for understanding Wilson’s framework, and explores the evidence for and against this conceptualization. Constructed and fixed choice response items are utilized to collect responses from 72 participants who range in experience and expertise with constructing measures. The data was scored by two raters and was analyzed with the Rasch partial credit model using ConQuest (1998). Guided by the 1999 Testing Standards, analyses of validity and reliability evidence provide support for the construct theory and limited uses of the instrument pending item design modifications

An overview of decision table literature 1982-1995.

This report gives an overview of the literature on decision tables over the past 15 years. As much as possible, for each reference, an author supplied abstract, a number of keywords and a classification are provided. In some cases own comments are added. The purpose of these comments is to show where, how and why decision tables are used. The literature is classified according to application area, theoretical versus practical character, year of publication, country or origin (not necessarily country of publication) and the language of the document. After a description of the scope of the interview, classification results and the classification by topic are presented. The main body of the paper is the ordered list of publications with abstract, classification and comments.

Educational policy, policy appropriation and Grameen Bank higher education financial aid policy process

The paper talks about higher educational polices and their process of policy appropriations, policy as practices, policy as symbolic, policy as rituals, policy as myths, policy backward- mapping and policy-forward mapping, multi-stage policy implementation process, street-bureaucrats planners, and policy reform process. It critically looks at pros-and-corns of different educational policy theories and their applications in education, and the higher education student financial aid different policies, strategies and products and their impact on the college students. The paper also narrates the higher educational policies and methods of need-based, merit-based, means-test-based grants allocation and loan disbursement and their impact on student academic achievements. Moreover, it discusses the policy process model that has both agendas and multiple streams that consider looking at policy designing problems, solutions of the problems and their usefulness to SES students. Additionally, the paper narrates the Grameen Bank higher education student loan policy making process, although there is no higher education student financial aid services are not exist in Bangladesh. Literature reviews, conversations with higher education students, contextual analysis, and the author personal working experience incorporate here. The study finds for policy improvement, policy analysis is vital because policy analysis can explores usefulness of the policy for public well being and for effectiveness of the policy appropriation.Center for Social Economy Learning and Workplace, University of Toronto. -- York Center for Asia Research, York University. -- Indiana University Bloomington

The use of sequencing information in software specification for verification

Software requirements specifications, virtual machine definitions, and algorithmic design all place constraints on the sequence of operations that are permissible during a program's execution. This paper discusses how these constraints can be captured and used to aid in the program verification process. The sequencing constraints can be expressed as a grammar over the alphabet of program operations. Several techniques can be used in support of testing or verification based on these specifications. Dynamic aalysis and static analysis are considered here. The automatic generation of some of these aids is feasible; the means of doing so is described

An Introduction to the Integrated Community-Engaged Learning and Ethical Reflection Framework (I-CELER)

Cultivating ethical Science, Technology, Engineering, and Mathematics researchers and practitioners requires movement beyond reducing ethical instruction to the rational exploration of moral quandaries via case studies and into the complexity of the ethical issues that students will encounter within their careers. We designed the Integrated Community-Engaged Learning and Ethical Reflection (I-CELER) framework as a means to promote the ethical becoming of future STEM practitioners. This paper provides a synthesis of and rationale for I-CELER for promoting ethical becoming based on scholarly literature from various social science fields, including social anthropology, moral development, and psychology. This paper proceeds in five parts. First, we introduce the state of the art of engineering ethics instruction; argue for the need of a lens that we describe as ethical becoming; and then detail the Specific Aims of the I-CELER approach. Second, we outline the three interrelated components of the project intervention. Third, we detail our convergent mixed methods research design, including its qualitative and quantitative counterparts. Fourth, we provide a brief description of what a course modified to the I-CELER approach might look like. Finally, we close by detailing the potential impact of this study in light of existing ethics education research within STEM