We study nonlinear least-squares problem that can be transformed to linear problem by change of variables. We derive a general formula for the statistically optimal weights and prove that the resulting linear regression gives an optimal estimate (which satisfies an analogue of the Rao–Cramer lower bound) in the limit of small noise.

This research analyzed all available hearings from 2013 to 2015 in a national database of due process hearings regarding placement issues and determinations of the least restrictive environment for individual students with significant disabilities. The main research question was whether parents/guardians and due process hearing officers sought placements for these children with significant disabilities that considered creatively and holistically a range of options rather than just a dialogue between already extant possible programmatic offerings. The research resulted in a description and taxonomy of the types of issues and factors arising in the hearings for students with significant disabilities from 2013 to 2015. This research shows almost no evidence of creative or holistic thinking in these due process decisions, and there was little evidence of parent advocacy for general education classes and creative options for their students with significant disabilities beyond existing offerings. The most unique placements to be found in public school settings for these students were in general education classes. Twenty-four students in this analysis were offered general education classes with their typically achieving peers. In general, though, for this unique group of students with significant disabilities, very few due process hearings could be found to have demonstrated creativity, or the consideration of holistic options, for such students. In general, in due process hearings for students with significant disabilities from 2013 to 2015, parents were overwhelming advocating for, and due process hearing officers were deciding among, options on the continuum of placements already traditionally considered for students with significant disabilities.

Because many individuals with developmental disabilities prefer to be as independent as possible, strategies need to be developed to teach them functional skills. Video prompting is a fairly new technology, in which a person learns to engage in a complex behavior by viewing steps of a task analysis on video. The steps are broken down so that the task is more manageable for the individual. The present study evaluated how many steps needed to be presented in the video model for the learner to acquire a functional skill. Three individuals between the ages of 17 and 29 and diagnosed with mental retardation were selected as participants. The target behaviors were to complete a 10 component laundry skill in a group home setting. Starting with viewing the entire task on video, the task was broken down into halves, then thirds, and so on until the individual performed all steps to criterion. A multiple baseline design was used to show the results of the video prompting procedure. The results showed that one individual learned the task with 5 steps in each video segment, another learned the task with the video broken into 4, 3, and 3 segments, and the final participant did not learn from video. For this participant, a least to most prompting procedure was effective.

The purpose of this study was to teach four preschool children with autism spectrum disorder (ASD) to wash their hands independently using a video modeling-based intervention package. A research questions was asked: Is there a functional relation between a video modeling-based intervention package and increases in level and trend for washing hands independently? A multiple probe across participants design was used to answer this question. Results indicated that the intervention package had functional relation with the increase in level and trend of the three participants’ performance in washing hands. The intervention package of video modeling and least-to-most prompting was found to be effective to teach the participants the skills taught.

In manual control, the welding gun’s moving speed can significantly influence the welding results and critical welding operations usually require welders to concentrate consistently in order to react rapidly and accurately. However, human welders always have some habitual action which can have some subtle influence the welding process. It takes countless hours to train an experienced human welder. Using vision and IMU sensor will be able to set up a system and allow the worker got more accurate visual feedback like an experienced worker. The problem is that monitor and measuring of the control process not always easy under a complex working environment like welding. In this thesis, a new method is developed that use two different methods to compensate each other to obtain accurate monitoring results. Vision sensor and IMU sensor both developed to obtain the accurate data from the control process in real-time but don’t influence other. Although both vision and IMU sensor has their own limits, they also have their own advantage which can contribute to the measuring system.

The rise of market globalization creates challenges for business executives seeking to pursue foreign direct investment (FDI) in least developed countries (LDC), such as Afghanistan. Multinational corporate (MNC) executives need strategies that will improve the timely delivery of minerals for mining projects in LDCs. Guided by the force field analysis theory, the purpose of this holistic, single-case study was to explore the strategies that 5 MNC executives in Beijing, China, used to improve the timely delivery of minerals associated with the Aynak copper mine project in Afghanistan. Semistructured interviews were used to elicit detailed narratives from MNC executives about their experiences to develop strategies for mining projects in LDCs. A review of company documents, as well as member-checking of initial interview transcripts, helped to bolster the trustworthiness of final interpretations. Study results included 2 themes. Theme 1 was determinants of mine investment strategies in LDCs that included an exploration of driving forces, restraining forces, neutral forces, and the effect of those forces. Theme 2 was FDI strategies for copper mine projects in LDCs that included the comparison of cost leadership strategy, differentiation strategy, and combination of cost leadership and differentiation strategies. By implementing a cost leadership strategy and best practices, MNC executives were able to achieve greater success to improve timely delivery of minerals associated with FDI copper mine projects in LDCs. Social implications include ongoing efforts of Afghan government leaders to implement effective economic policies that decrease unemployment while reducing poverty.

Individuals with autism spectrum disorder (ASD) experience difficulties with learning age-appropriate daily living skills (DLS) at their homes, schools, and in the community. Such skills are significant for independent life, post-school education, employment, and overall quality of life. Video prompting (VP) is a teaching practice that has demonstrated positive outcomes in teaching a variety of DLS to individuals with ASD. The overarching purpose of this collected papers dissertation was to investigate the effects of VP interventions on improving DLS of individuals with ASD. This dissertation included two separate papers. The first paper was a meta-analysis that examined the overall effect of VP when teaching DLS to individuals with ASD across single-case research design (SCRD) studies. An analysis of potential moderators was also examined: VP intervention types, participants’ ages, and participants’ disabilities. There were 54 participantsacross17 studies meeting the study’s inclusion criteria. The results demonstrated a high-moderate effect size (ES) for VP on the acquisition of DLS across 17 studies including 54 participants. The analysis of potential moderators showed no significant differences across all moderator variables. Limitations and implications for research and practices are provided in Chapter II. The second paper was a SCRD study comparing the effects of VP alone to least-to-most prompting alone on improving three office-related tasks to secondary-aged children with developmental disabilities. An adapted alternating treatment design (AATD), including baseline, comparison, best treatment, and final treatment phases was used to examine the interventions. Data related to the effects, efficiency, and social validity of both interventions were collected to address the research questions. Video prompting was effective for all participants, while least-to-most promoting was effective for two participants. Also, VP was more efficient than least-to-most prompting in terms of sessions-to-criterion and percent of errors for all participants. Least-to-most prompting was more efficient than VP in terms of the total duration of teaching time for all participants. Finally, all participants and their teachers reported positive perspectives regarding the study’s procedures and outcomes. Limitations, future research, and implications for practices are discussed in Chapter III. Lastly, the summary of the entire dissertation and extended discussions of both papers are presented in Chapter IV.

No description available.

The GIS Industry has digitised cadastre from the best available paper maps over the last few decades, incorporating the inherent errors in those paper maps and in the digitising process. The advent of Global Positioning Systems, modern surveying instruments and advances in the computing industry has made it desirable and affordable to upgrade the placement, in terms of absolute and relative position) of these digital cadastres. The Utility Industry has used GIS software to place their assets relative to these digital cadastres, and are now finding their assets placed incorrectly when viewed against these upgraded digital cadastres. This thesis examines the processes developed in the software program called the ???Spatial Adjustment Engine???, and documents a holistic approach to semi-automating the upgrading of the digital cadastre and the subsequent upgrading of the utility assets. This thesis also documents the various pilot projects undertaken during the development of the Spatial Adjustment Engine, the topological scenarios found in each pilot, their solution, and provides a framework of definitions needed to explore this field further. The results of each pilot project are given in context, and lead to the conclusions. The conclusions indicate the processes and procedures implemented in the Spatial Adjustment Engine are a suitable mechanism for the upgrade of digital cadastre and of spatially dependant themes such as utility assets, zoning themes, annotation layers, and some road centreline themes.

This thesis describes the research undertaken for the degree of Doctor of Philosophy, testing the hypothesis that spectrometer data can be used to establish usable relationships for prediction of pasture quality attributes. The research data consisted of reflectance measurements of various temperate pasture types recorded at four different times (years 2000 to 2002), recorded by three hyperspectral sensors, the in situ ASD, the airborne HyMap and the satellite-borne Hyperion. Corresponding ground-based pasture samples were analysed for content of chlorophyll, water, crude protein, digestibility, lignin and cellulose at three study sites in rural Victoria, Australia. This context was used to evaluate effects of sensor differences, data processing and enhancement, analytical methods and sample variability on the predictive capacity of derived prediction models. Although hyperspectral data analysis is being applied in many areas very few studies on temperate pastures have been conducted and hardly any encompass the variability and heterogeneity of these southern Australian examples. The research into the relationship between the spectrometer data and pasture quality attribute assays was designed using knowledge gained from assessment of other hyperspectral remote sensing and near-infrared spectroscopy research, including bio-chemical and physical properties of pastures, as well as practical issues of the grazing industries and carbon cycling/modelling. Processing and enhancement of the spectral data followed methods used by other hyperspectral researchers with modifications deemed essential to produce better relationships with pasture assay data. As many different methods are in use for the analysis of hyperspectral data several alternative approaches were investigated and evaluated to determine reliability, robustness and suitability for retrieval of temperate pasture quality attributes. The analyses employed included stepwise multiple linear regression (SMLR) and partial least squares regression (PLSR). The research showed that the spectral research data had a higher potential to be used for prediction of crude protein and digestibility than for the plant fibres lignin and cellulose. Spectral transformation such as continuum removal and derivatives enhanced the results. By using a modified approach based on sample subsets identified by a matrix of subjective bio-physical and ancillary data parameters, the performance of the models were enhanced. Prediction models from PLSR developed on ASD in situ spectral data, HyMap airborne imagery and Hyperion and corresponding pasture assays showed potential for predicting the two important pasture quality attributes crude protein and digestibility in hyperspectral imagery at a few quantised levels corresponding to levels currently used in commercial feed testing. It was concluded that imaging spectrometry has potential to offer synoptic, simultaneous and spatially continuous information valuable to feed based enterprises in temperate Victoria. The thesis provide a significant contribution to the field of hyperspectral remote sensing and good guidance for future hyperspectral researchers embarking on similar tasks. As the research is based on temperate pastures in Victoria, Australia, which are dominated by northern hemisphere species, the findings should be applicable to analysis of temperate pastures elsewhere, for example in Western Australia, New Zealand, South Africa, North America, Europe and northern Asia (China).