Analysis of stabilised output error methods

In the paper, analysis of stabilised output-error methods (SOEMs) for parameter estimation of unstable aircrafts presented. These methods overcome the numerical difficulties encountered in parameter estimation of unstable systems by utilising measured states. The methods, along with the output error method (OEM) and the equation error method (EEM), are briefly described for the sake of comparison. However, the main idea of the paper is to present asymptotic analysis of the SOEM. The results of application of SOEMs to simulated data of an unstable/augmented aircraft are presented

Activity Recognition and Prediction in Real Homes

In this paper, we present work in progress on activity recognition and prediction in real homes using either binary sensor data or depth video data. We present our field trial and set-up for collecting and storing the data, our methods, and our current results. We compare the accuracy of predicting the next binary sensor event using probabilistic methods and Long Short-Term Memory (LSTM) networks, include the time information to improve prediction accuracy, as well as predict both the next sensor event and its mean time of occurrence using one LSTM model. We investigate transfer learning between apartments and show that it is possible to pre-train the model with data from other apartments and achieve good accuracy in a new apartment straight away. In addition, we present preliminary results from activity recognition using low-resolution depth video data from seven apartments, and classify four activities - no movement, standing up, sitting down, and TV interaction - by using a relatively simple processing method where we apply an Infinite Impulse Response (IIR) filter to extract movements from the frames prior to feeding them to a convolutional LSTM network for the classification.Comment: 12 pages, Symposium of the Norwegian AI Society NAIS 201

MODEL-BASED CONTROL WITH STOCHASTIC SIMULATORS: BUILDING PROCESS DESIGN AND CONTROL SOFTWARE FOR CATALYTICALLY ENHANCED MICROSYSTEMS

The production, characteristics, dynamics, and economics of microreactors were studied in this report. Overall it was found that the best microfabrication techniques for small scale processes were laser ablation, the LIGA process, soft lithography, and anisotropic wet chemical etching, roughly in ascending order of effectiveness. One of the few viable bonding techniques was found to be diffusion bonding followed by microlamination, whereas many coating methods -- such as solgel coating, modified anodic oxidation, and electrophoretic deposition -- were effective in μTAS integration. The high surface area to volume ratio of microreactors enables precise control of the temperature of the reactor along its axial dimension. Taking advantage of this feature in the design of microreactors leads to better control of complex reaction networks and generates more valuable effluent streams. A model predictive controller was implemented for the common, archetypical reaction network involving the hydrogenation and dehydrogenation of cyclohexene with various control objectives. It was found that the highest rate of production of benzene and cyclohexane occurred at 600 K while the most pure stream of benzene occurred at 200 K. Model predictive control was found to be highly resistant to the inherent stochasticity of small scale processes. The market for a software-based controller for microreactors was surveyed and found to still be in the early stages of development. A profitability analysis was conducted for a start-up company using microreactors to make cyclohexane. A price of $18,000 for the product was found to be a reasonable selling price yet allowed the start-up to remain profitable

Impact of a Positive Viral Polymerase Chain Reaction on Outcomes of Chronic Obstructive Pulmonary Disease (COPD) Exacerbations

INTRODUCTION: More than 15 million adults in the USA have chronic obstructive pulmonary disease. Chronic obstructive pulmonary disease (COPD) places a high burden on the healthcare system. Many hospital admissions are due to an exacerbation, which is suspected to be from a viral cause. The purpose of this analysis was to compare the outcomes of patients with a positive and negative respiratory virus panel who were admitted to the hospital with COPD exacerbations. METHODS: This retrospective cohort study was conducted in the Geisinger Healthcare System. The dataset included 2729 patient encounters between 1 January 2006 and 30 November 2017. Hospital length of stay was calculated as the discrete number of calendar days a patient was in the hospital. Patient encounters with a positive and negative respiratory virus panel were compared using Pearson\u27s chi-square or Fisher\u27s exact test for categorical variables and Student\u27s t-test or Wilcoxon rank-sum tests for continuous variables. RESULTS: There were 1626 patients with a total of 2729 chronic obstructive pulmonary disease exacerbation encounters. Nineteen percent of those encounters (n = 524) had a respiratory virus panel performed during their admission. Among these encounters, 161 (30.7%) had positive results, and 363 (69.3%) had negative results. For encounters with the respiratory virus panel, the mean age was 64.5, 59.5% were female, 98.9% were white, and the mean body mass index was 26.6. Those with a negative respiratory virus panel had a higher median white blood cell count (11.1 vs. 9.9, p = 0.0076). There were no other statistically significant differences in characteristics between the two groups. Respiratory virus panel positive patients had a statistically significant longer hospital length of stay. There were no significant differences with respect to being on mechanical ventilation or ventilation-free days. CONCLUSION: This study shows that a positive respiratory virus panel is associated with increased length of hospital stay. Early diagnosis of chronic obstructive pulmonary disease exacerbation patients with positive viral panel would help identify patients with a longer length of stay

A Rare Case of Stroke Secondary to Iron Deficiency Anemia in a Young Female Patient

Ischemic strokes occur when there is a sudden obstruction of an artery supplying blood flow to an area of the brain, leading to a focal neurological deficit. Strokes can be thrombotic or embolic in etiology and are associated with underlying conditions such as hypertension and atherosclerosis. Possible etiologies of strokes include cardioembolic disease, hematologic disorders, connective tissue disorders, and substance abuse or can be cryptogenic. Most stroke cases are seen in patients over 65 years of age. However, about one-fourth of strokes occur in young adults. Iron deficiency anemia (IDA) has been described as a known cause for strokes in children, but very few case reports describe this association in adults. We describe a 20-year-old female who presented with sudden onset left side weakness. Magnetic Resonance Imaging (MRI) of the brain demonstrated ischemic infarctions. Patient was also found to be severely anemic. Patient had a thorough work-up including Magnetic Resonance Angiography (MRA) of the brain, echocardiogram, and an extensive screen for thrombophilia disorders. This, however, did not demonstrate a clear etiology. As it has been suggested that IDA is a potential cause for stroke, it is possible the stroke in this young patient was attributable to severe IDA

Stability & Performance Characteristics Of A Jaguar Aircraft From Post Flight Data Analysis (Revised)

The Aeronautical Development Agency Brought Together Aircraft Systems And Testing Establishment, The HAL Flight Test Centre And The Flight Mechanics & Controls Group Of NAL To Perform Planned Flight Tests On A Jaguar Aircraft Of Indian Airforce . The Aim Of The Programme Was To Generate The Drag Polar Type Performance 'Data, Stability And Control Derivatives For The Aircraft And To Make A Handling Quality Assessment Of The Aircraft . This Document Presents A Comprehensive Analysis Of The Preprocessed Flight Test Data At The Flight Mechanics And Controls Division.By Properly Exciting The Necessary Modalities And Analysing The Responses Using Nonlinear Maximum Likelihood Estimation Method With Appropriate Mathematical Models, Consistent Aircraft Parameters Are Generated . It Is Shown That The Maneuvers Such As The Roller Coaster, Windup Turns And Low Speed Slow Down Provide The Aircraft Drag Polar Covering Full Angle Of Attack Range And Full Range Of Load Factors. The Document Provides The Jaguar Drag Polars , The Longitudinal/ Lateral Stability And Control Derivatives And .A Handling Quality Assessment Of The Short Period Mode Generated From Response Analysis . The Results Are Compared With Data From The Aircraft Manufacturer And Are Found To Match Reasonably Well . This Programme Also Demonstrates The Ability Of The Bangalore Aeronautical Community In Addressing Comprehensive Flight Test Programmes Of Future Aircraft Like The Light Combat Aircraft . The Results Presented In This Document Supersede Those Reported In NAL PD-SE-891

Estimation of aerodynamic derivatives of projectiles from aeroballistic range data using maximum likelihood method

This paper describes the application of the maximum likelihood method to estimate the aerodynamic derivatives of (i) the AGARD standard ballistic model HB-2 from supersonic free13; flight data available in literature, and (ii) ballistic mode simulated data of a surface-to-air missile.13; For the AGARD dam, two types of dynamic models have been used: (i) body axis coordinate13; system model, and (ii) hybrid type of formulation. wherein the aerodynamic forces are in wind axis13; arid the aerodynamic moments are represented in body axis coordinate system. For surface-to-air13; missile data the equations of motion are solved in fin-body axis system. The results of this analysis13; denonstrate the suitability and function adequacy of the mathematical models used, the13; consistency of data arid power of the parameter estimation methodology in generating13; aerodynamic derivatives from realistic free flight trajectories

Asymptotic and generalisation theory of equation decoupling13; method for system parameter estimation

In this paper the theory of Equation Decoupling method for parameter estimation of unstable or augmented dynamically system is presented.If is also shown that the method is a generalisation of the so called Total least Squares method in which errors in measurements as well as states are taken into account