Multirate sampled-data yaw-damper and modal suppression system design

A multirate control law synthesized algorithm based on an infinite-time quadratic cost function, was developed along with a method for analyzing the robustness of multirate systems. A generalized multirate sampled-data control law structure (GMCLS) was introduced. A new infinite-time-based parameter optimization multirate sampled-data control law synthesis method and solution algorithm were developed. A singular-value-based method for determining gain and phase margins for multirate systems was also developed. The finite-time-based parameter optimization multirate sampled-data control law synthesis algorithm originally intended to be applied to the aircraft problem was instead demonstrated by application to a simpler problem involving the control of the tip position of a two-link robot arm. The GMCLS, the infinite-time-based parameter optimization multirate control law synthesis method and solution algorithm, and the singular-value based method for determining gain and phase margins were all demonstrated by application to the aircraft control problem originally proposed for this project

Oyster Demand Adjustments to Counter-Information and Source Treatments in Response to Vibrio vulnificus

A web-based contingent behavior analysis is developed to quantity the effect of both negative and positive information treatments and post harvest processes (PHP) on demand for oysters. Results from a panel model indicate that consumers of raw and cooked oysters behave differently after news of an oyster-related human mortality. While cooked oyster consumers take precautionary measures against risk, raw oyster consumers exhibit optimistic bias and increase their consumption level. Further, by varying the source of a counter-information treatment, we find that source credibility impacts behavior. Oyster consumers, and in particular, raw oyster consumers, are most responsive to information provided by a not-for-profit, non-governmental organization. Finally, post harvest processing of oysters has no impact on demand. Key Words: Oyster demand; consumer behavior; non-market valuation; Vibrio vulnificus; information treatments; source credibility; optimistic bias

Oyster Demand Adjustments to Counter-Information and Source Treatments in Response to Vibrio vulnificus

A web-based contingent behavior analysis was developed to quantify the effect of both negative and positive information treatments and post harvest processes on demand for oysters. Results from a panel model indicate that consumers of raw and cooked oysters behave differently after news of an oyster-related human mortality. While cooked oyster consumers take precautionary measures against risk, raw oyster consumers exhibit optimistic bias and increase their consumption level. Further, by varying the source of a counter-information treatment, we find that source credibility impacts behavior. Oyster consumers, and in particular, raw oyster consumers, are most responsive to information provided by a not-for- profit, nongovernmental organization. Finally, post harvest processing of oysters has no impact on demand.consumer behavior, information treatments, non-market valuation, optimistic bias, Oyster demand, source credibility, Vibrio vulnificus, Agribusiness, Demand and Price Analysis, Food Consumption/Nutrition/Food Safety, Institutional and Behavioral Economics, Q18, Q13, Q58,

Vestibular heading discrimination and sensitivity to linear acceleration in head and world coordinates

Effective navigation and locomotion depend critically on an observer\u27s ability to judge direction of linear self-motion, i.e., heading. The vestibular cue to heading is the direction of inertial acceleration that accompanies transient linear movements. This cue is transduced by the otolith organs. The otoliths also respond to gravitational acceleration, so vestibular heading discrimination could depend on (1) the direction of movement in head coordinates (i.e., relative to the otoliths), (2) the direction of movement in world coordinates (i.e., relative to gravity), or (3) body orientation (i.e., the direction of gravity relative to the otoliths). To quantify these effects, we measured vestibular and visual discrimination of heading along azimuth and elevation dimensions with observers oriented both upright and side-down relative to gravity. We compared vestibular heading thresholds with corresponding measurements of sensitivity to linear motion along lateral and vertical axes of the head (coarse direction discrimination and amplitude discrimination). Neither heading nor coarse direction thresholds depended on movement direction in world coordinates, demonstrating that the nervous system compensates for gravity. Instead, they depended similarly on movement direction in head coordinates (better performance in the horizontal plane) and on body orientation (better performance in the upright orientation). Heading thresholds were correlated with, but significantly larger than, predictions based on sensitivity in the coarse discrimination task. Simulations of a neuron/anti-neuron pair with idealized cosine-tuning properties show that heading thresholds larger than those predicted from coarse direction discrimination could be accounted for by an amplitude-response nonlinearity in the neural representation of inertial motion

Multirate flutter suppression system design for the Benchmark Active Controls Technology Wing

To study the effectiveness of various control system design methodologies, the NASA Langley Research Center initiated the Benchmark Active Controls Project. In this project, the various methodologies will be applied to design a flutter suppression system for the Benchmark Active Controls Technology (BACT) Wing (also called the PAPA wing). Eventually, the designs will be implemented in hardware and tested on the BACT wing in a wind tunnel. This report describes a project at the University of Washington to design a multirate flutter suppression system for the BACT wing. The objective of the project was two fold. First, to develop a methodology for designing robust multirate compensators, and second, to demonstrate the methodology by applying it to the design of a multirate flutter suppression system for the BACT wing. The contributions of this project are (1) development of an algorithm for synthesizing robust low order multirate control laws (the algorithm is capable of synthesizing a single compensator which stabilizes both the nominal plant and multiple plant perturbations; (2) development of a multirate design methodology, and supporting software, for modeling, analyzing and synthesizing multirate compensators; and (3) design of a multirate flutter suppression system for NASA's BACT wing which satisfies the specified design criteria. This report describes each of these contributions in detail. Section 2.0 discusses our design methodology. Section 3.0 details the results of our multirate flutter suppression system design for the BACT wing. Finally, Section 4.0 presents our conclusions and suggestions for future research. The body of the report focuses primarily on the results. The associated theoretical background appears in the three technical papers that are included as Attachments 1-3. Attachment 4 is a user's manual for the software that is key to our design methodology

Determinants of Effective Management of Telecommunication Network Maintenance Projects under Safaricom Limited. A Case Study of Turkana County

The study was aimed at assessing the determinants of effective management of telecommunication network maintenance projects under Safaricom limited in Turkana County. The study’s specific objective was determine the effect of technology capability on performance of telecommunication network maintenance projects under Safaricom Limited Kenya.  The study was informed by systems theory, maintenance jungle theory and human capital theory. Descriptive research design was used in this study.  The researcher used questionnaires as a tool for data collection In order to test the reliability of the instrument, the Cronbach alpha test which is a measure of internal consistency was used in which closely relates a set of items are taken as a group. Descriptive statistical procedures including cross-tabulations and frequency distributions were used, inferential statistical analysis which included multiple regression model and bi-variate correlation analysis was also used. The target population was two managers and 31 technicians supporting the project in Turkana County. Purposive sampling technique was used to select the project managers and financial managers to participate in the study. The data was analyzed by the regression tools and ANOVA using the Statistical Package for Social Sciences (SPSS) version 22. Both correlation coefficient and regression analysis and the ANOVA test were established in order to statistically determine the relationship between the independent variable and dependent variable. The findings showed that the regression effect was statistically significant and indicated a reliable prediction of the dependent variable. The F calculated (F =22.755) which was greater than 5% level of significance that showed the overall model was significant where the independent variables explained 83.2% of the effective management of telecommunication network maintenance projects. The findings from this study would therefore be of importance because they would have the capacity of being used to formulate positive fiscal policies which are relevant and sensitive to the forces influencing the telecommunication industry performance in Kenya. The study would be beneficial to various stakeholders; it will be a source of information to the telecommunication sector as they would be able to evaluate the logistics, practices and performance. To the academicians the study would contribute to the existing literature in the field of project management. It should also act as a stimulus for further research to refine and extend the present study especially in Kenya