THE GROWING TEXAS WINE INDUSTRY: PRODUCT DISTRIBUTION PROBLEMS AND CONSUMER PREFERENCES FOR TEXAS-PRODUCED WINES

Agribusiness, Consumer/Household Economics,

Declining marginal utility or constant marginal utility in the consumer characteristics model : a Box-Cox analysis of the hedonic price equation

Because of the increasing interest in nutritional attributes contained in food, hedonic price equations derived from the consumer characteristics model have been usee to attempt to explain changing consumption patterns of consumers. Choice of functional form of the consumer hedonic price equation must be consistent with economic theory and show declining marginal utility for nutritional attributes. The Box-Cox methodology is used to search for the appropriate functional form of the hedonic price equation that is consistent with declining marginal utility of attributes. Past empirical work has used the linear functional form of the hedonic price equation based on pure statistical grounds and is shown to yield constant marginal utility of attributes and is inconsistent with economic theory

Static analysis of energy consumption for LLVM IR programs

Energy models can be constructed by characterizing the energy consumed by executing each instruction in a processor's instruction set. This can be used to determine how much energy is required to execute a sequence of assembly instructions, without the need to instrument or measure hardware. However, statically analyzing low-level program structures is hard, and the gap between the high-level program structure and the low-level energy models needs to be bridged. We have developed techniques for performing a static analysis on the intermediate compiler representations of a program. Specifically, we target LLVM IR, a representation used by modern compilers, including Clang. Using these techniques we can automatically infer an estimate of the energy consumed when running a function under different platforms, using different compilers. One of the challenges in doing so is that of determining an energy cost of executing LLVM IR program segments, for which we have developed two different approaches. When this information is used in conjunction with our analysis, we are able to infer energy formulae that characterize the energy consumption for a particular program. This approach can be applied to any languages targeting the LLVM toolchain, including C and XC or architectures such as ARM Cortex-M or XMOS xCORE, with a focus towards embedded platforms. Our techniques are validated on these platforms by comparing the static analysis results to the physical measurements taken from the hardware. Static energy consumption estimation enables energy-aware software development, without requiring hardware knowledge

Towards an Understanding of Rich Picture Interpretation

This paper considers the value of the Rich Picture (RP) as a means to capture data from multiple groups exploring a question, problem or issue. RPs emerge from group work by unravelling and integrating understandings, but to date there have been no attempts to consider ways in which the RPs from different groups analysing the same question can be, or indeed should be, objectively compared. The aim of this paper is to investigate the maximum learning potential from the RP, and we develop and use a form of Content Analysis (CA) called Eductive Interpretation (EI) specifically for RPs. The paper illustrates the process of EI by drawing upon a series of RPs created by groups in the Lebanon. The groups were all working on issues involved in coastal zone management, and the resulting analysis presents some of the insights that were gained. The paper finally discusses some of the advantages and disadvantages of EI applied to RPs

Hollywood Free Paper, October 19 1971

https://digitalcommons.fuller.edu/hollywoodfreepaper/1051/thumbnail.jp

Large Scale Data Mining to Improve Usability of Data: An Intelligent Archive Testbed

Research in certain scientific disciplines - including Earth science, particle physics, and astrophysics - continually faces the challenge that the volume of data needed to perform valid scientific research can at times overwhelm even a sizable research community. The desire to improve utilization of this data gave rise to the Intelligent Archives project, which seeks to make data archives active participants in a knowledge building system capable of discovering events or patterns that represent new information or knowledge. Data mining can automatically discover patterns and events, but it is generally viewed as unsuited for large-scale use in disciplines like Earth science that routinely involve very high data volumes. Dozens of research projects have shown promising uses of data mining in Earth science, but all of these are based on experiments with data subsets of a few gigabytes or less, rather than the terabytes or petabytes typically encountered in operational systems. To bridge this gap, the Intelligent Archives project is establishing a testbed with the goal of demonstrating the use of data mining techniques in an operationally-relevant environment. This paper discusses the goals of the testbed and the design choices surrounding critical issues that arose during testbed implementation

Organizing a Student Poster Session in an ASEE Section Conference

Student poster sessions at conferences can be valuable experiences for undergraduate and graduate students and can enrich the conference program for all participants. Student poster presentations beyond the local campus can provide additional experience in professional communication (especially in preparing succinct abstracts and in effective visual design), can prepare students for future conference participations, and can facilitate student-faculty interaction. Several issues exist when including student poster sessions in engineering education conferences. How can the content of posters be related to an engineering education theme? How are communication principles of audience and purpose incorporated into the session guidelines and review process? What approaches facilitate student participation? What roles do faculty advisors have? The organization of a student poster component at section ASEE conferences is described including session objectives, submission process, acceptance criteria, best-poster rubrics, and suggestions for future implementation. Lessons learned during two years of hosting such as poster session are highlighted especially with regard to the abstract and poster evaluation rubrics. The approach seeks to disseminate existing student project work, to involve students in formal review and revision processes, and to recognize the role of faculty advisors