Automotive Stirling engine development program

This is the ninth Semiannual Technical Progress Report prepared under the Automotive Stirling Engine Development Program. It covers the twenty-eighth and twenty-ninth quarters of activity after award of the contract. Quarterly Technical Progress Reports related program activities from the first through the thirteenth quarters; thereafter, reporting was changed to a Semiannual format. This report summarizes the study of higher-power kinematic Stirling engines for transportation use, development testing of Mod I Stirling engines, and component development activities. Component development testing included successful conical fuel nozzle testing and functional checkout of Mod II controls and auxiliaries on Mod I engine test beds. Overall program philosophy is outlined and data and test results are presented

Development and testing of the infrared radiometer for the Mariner Venus/Mercury 1973 spacecraft

The science objectives, development history, functional description, and testing of the Mariner Venus/Mercury 1973 infrared radiometer are discussed. Included in the functional description section is a thorough discussion of the IRR optical system, electronic operation, and thermal control. Signal development and its conversion to engineering units is traced, starting with the radiant space object, passing through the IRR optics and electronics, and culminating with data number development and interpretation. The test program section includes discussion of IRR calibration and alignment verification. Finally, the problems and failures encountered by the IRR during the period of its development and testing are reviewed

The Dandelion Program: 2016 in Review

[Excerpt] The Dandelion Program is an initiative to build valuable Information Technology, life, and executive functional skills to help establish careers for people on the autism spectrum. The implementation and assessment of Dandelion pods concentrates on identifying and supporting individuals on the autism spectrum with the potential to excel in testing, data science, and cyber security roles. Over the course of 2016, the program continued to grow at a rapid rate, and achieved a large number of significant milestones. This report will cover some of the most significant developments over the course of the last year

Decision -Table Based Testing

Software testing is a method of assessing the correctness of functions implemented in software program. There are mainly two approaches to identify test cases in software testing. They are structural testing(white-box testing) and functional testing(black box testing). In this paper Decision Table-Based Testing is carried out as a functional test design technique to determine the test cases for complex logic in software. It is ideal testing because it generates few number of effective test cases. DOI: 10.17762/ijritcc2321-8169.15038

Small Intestinal Bacterial Overgrowth Testing Strategies

Small Intestinal Bacterial Overgrowth (SIBO) is an overgrowth of bacteria in the small intestine. Symptoms such as bloating, abdominal pain and discomfort, malabsorption, nausea, constipation, or diarrhea overlap with several common GI complaints. SIBO affects millions of people worldwide. Many providers are not aware of SIBO or the guidelines that standardize testing and diagnosing. The Final Scholarly Project (FSP) was based on a literature review that discovered evidence-based literature on SIBO testing strategies such as gut aspirate and culture, clinical symptom presentation, breath testing, nutrient challenge test, and scintigraphy with either lactulose or hydrogen breath testing. To implement the project, pre-educational chart review was conducted in a Functional Medicine Practice where Advanced Practice Nurse’s (APRN) treat patients with SIBO, IBS, and common gastrointestinal (GI) complaints. The pre-educational chart review looked to determine if SIBO testing and diagnosing guidelines were being used in practice. An educational program outlining the evidence-based literature reviewed on SIBO testing and diagnosing and the results of the pre- educational program chart review was collated and shared with the APRN’s at the Functional Medicine Practice. A post-educational chart review was conducted four weeks later to measure compliance with the standards. The FSP aimed to create SIBO awareness through education and determine if SIBO testing and diagnosing guidelines were being incorporated into practice. The APRN’s in a Functional Medicine Practice were receptive to the educational program offered and interested in implementing SIBO testing guidelines into their practice

Infrastructure-Aware Functional Testing of MapReduce Programs

2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), Vienna, 2016Programs that process a large volume of data generally run in a distributed and parallel architecture, such as the programs implemented in the processing model MapReduce. In these programs, developers can abstract the infrastructure where the program will run and focus on the functional issues. However, the infrastructure configuration and its state cause different parallel executions of the program and some could derive in functional faults which are hard to reveal. In general, the infrastructure that executes the program is not considered during the testing, because the tests usually contain few input data and then the parallelization is not necessary. In this paper a testing technique is proposed to generate different infrastructure configurations for a given test input data, and then the program is executed in these configurations in order to reveal functional faults. This testing technique is automatized by using a test engine and is applied to a case study. As a result, several infrastructure configurations are automatically generated and executed for a test case revealing a functional fault that is then fixed by the develope

Autonomous Guidance Algorithms for NASA Learn-to-Fly Technology Development

Learn-to-Fly (L2F) is an advanced technology development effort under the NASA Transformative Aeronautics Concepts Program (TACP) that is aimed at assessing the feasibility of self-learning flight vehicles. Specifically, research has been conducted to demonstrate the potential to merge two enabling technologies; real-time aerodynamic modeling and adaptive controls, to substantially reduce the typical ground and flight testing requirements for air vehicle design. The approach to this effort involved development of unique airframes and on-board algorithms to demonstrate key L2F technologies on a fully autonomous flight test vehicle. This research, that included an aggressive flight test program, was intended to rapidly advance these technologies and demonstrate capabilities of the L2F approach. Key components of the L2F architecture include real-time aerodynamic modeling, adaptive controls and control allocation, and guidance. This paper provides an overview of the guidance algorithm which primarily served as an executive function to coordinate control commands for range navigation and the desired test conditions, provide autonomous envelope limiting/expansion and enable automatic landing to touchdown with no intervention from a human operator. A discussion of the L2F concept-of-operations and unique flight testing considerations, which influenced the guidance functional requirements, is included and results of recent flight testing are presented