"Selection of Input Parameters for Multivariate Classifiersin Proactive Machine Health Monitoring by Clustering Envelope Spectrum Harmonics"

In condition monitoring (CM) signal analysis the inherent problem of key characteristics being masked by noise can be addressed by analysis of the signal envelope. Envelope analysis of vibration signals is effective in extracting useful information for diagnosing different faults. However, the number of envelope features is generally too large to be effectively incorporated in system models. In this paper a novel method of extracting the pertinent information from such signals based on multivariate statistical techniques is developed which substantialy reduces the number of input parameters required for data classification models. This was achieved by clustering possible model variables into a number of homogeneous groups to assertain levels of interdependency. Representatives from each of the groups were selected for their power to discriminate between the categorical classes. The techniques established were applied to a reciprocating compressor rig wherein the target was identifying machine states with respect to operational health through comparison of signal outputs for healthy and faulty systems. The technique allowed near perfect fault classification. In addition methods for identifying seperable classes are investigated through profiling techniques, illustrated using Andrew’s Fourier curves

Leading Change through User Experience: How End Users Are Changing the Library

Cline Library is centrally located on the Northern Arizona University (NAU) campus in Flagstaff, Arizona. The library has a staff of sixty-two, and an additional forty-six student staff. According to the Carnegie Classification of Institutions of Higher Education, NAU is classified as “R2: Doctoral Universities—Higher Research Activity.” Founded in 1899 with twenty-three students, NAU is now a public university with over 30,000 undergraduate and graduate students who learn on campus and online, across the state and beyond. NAU has built a reputation for research and scientific discovery, and over 1,000 undergraduates present at the annual Undergraduate Research Symposium. From the beginning, NAU placed students at the center, and students are the driving force behind what Cline Library does. Through a strategic planning process now underway, users and staff imagine the future for Cline Library as a people-focused experiential learning environment, which is dynamic, is proactive to user needs, and promotes both individual discovery and creative collaboration. The library’s newly crafted mission and vision state

Selection of Input Parameters for Multivariate Classifiers in Proactive Machine Health Monitoring by Clustering Envelope Spectrum Harmonics

In condition monitoring (CM) signal analysis the inherent problem of key characteristics being masked by noise can be addressed by analysis of the signal envelope. Envelope analysis of vibration signals is effective in extracting useful information for diagnosing different faults. However, the number of envelope features is generally too large to be effectively incorporated in system models. In this paper a novel method of extracting the pertinent information from such signals based on multivariate statistical techniques is developed which substantialy reduces the number of input parameters required for data classification models. This was achieved by clustering possible model variables into a number of homogeneous groups to assertain levels of interdependency. Representatives from each of the groups were selected for their power to discriminate between the categorical classes. The techniques established were applied to a reciprocating compressor rig wherein the target was identifying machine states with respect to operational health through comparison of signal outputs for healthy and faulty systems. The technique allowed near perfect fault classification. In addition methods for identifying seperable classes are investigated through profiling techniques, illustrated using Andrew’s Fourier curves

Scenario-based evaluation of an ethical framework for the use of digital media in learning and teaching

nterest in educational podcasting, audio feedback and media-enhanced learning, in its various forms, has grown due to the increased access academic staff and students have to new technologies. The benefits have been widely reported in the educational development and disciplinary literature on learning technology, mobile learning, digital age learning, and assessment and feedback. However, such literature focuses more on what can be done, rather than if it should be done. Hargreaves (2008) signals the need to balance ethical risk in the creative curriculum with actions that maximise beneficence, especially within the context of a sector that espouses to develop critical skills in learners. In a world of constantly developing technology, it is not always easy to appraise the implications of a pedagogic innovation. As practitioners concerned with academic development, our aim is to facilitate academics to reflect on their practice from a variety of perspectives, and we felt that an easy–to-use ethical framework could assist academics to identify potential ethical problems. The Media-Enhanced Learning Special Interest Group (MELSIG) is a UK network of academics, developers and learning technologists. They identified the need to consider the ethical risk associated with using digital media in response to examples described in recent literature, and ideas generated by its community. It was as a result of discussions at MELSIG that this collaborative work began. The three members of MELSIG were joined by a colleague with an interest in ethics but who was relatively inexperienced with new technologies. When this work began we looked primarily at digital media, but it is considered that such a framework can be used to appraise the use of other new technologies in learning and teaching. This paper will begin by giving a brief explanation of ethics, as a discipline, and the approach to ethics which underpins this framework. We will then discuss the results from a scenario-based evaluation of the framework, undertaken by the four authors. Following this evaluation, the framework is now being evaluated by a wider community of practitioners, on real examples, and continues to develop as it is exposed to wider use. However, it is considered that the initial scenario-based evaluation raised some interim findings that will be of interest to a wider audience

Waiting to Be Won Over: Teachers Speak on the Profession, Unions and Reform

In the national conversation on teacher quality, there is considerable debate about what teachers think and what they want. Too often assumptions guide the discussion rather than actual evidence of teachers' views. In a new report, Education Sector and the FDR Group provide that evidence, detailing findings from a national survey of public school teachers

The occurrence of enterochromaffin cells in tadpoles and juveniles of Xenopus laevis, with special reference to 5-hydroxytryptamine and its possible roles in metamorphosis

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Why we can't help working when ill: the perverse causes of presenteeism in the UK, with a focus on prison officers and academics

The term ‘presenteeism’ refers to situations where employees continue to attend work while they are sick. In this report we look at why absenteeism policies can encourage presenteeism and how presenteeism presents in two working populations: UK prison officers and UK academics