1,148 research outputs found

    Research on new techniques for the analysis of manual control systems Progress report, 15 Jun. 1969 - 15 Jun. 1970

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    Applying statistical decision theory to manual adaptive control system

    Evaluation of the usefulness of various simulation technology options for TERPS enhancement

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    Current approved terminal instrument procedures (TERPS) do not permit the full exploitation of the helicopter's unique flying characteristics. Enhanced TERPS need to be developed for a host of non-standard landing sites and navigation aids. Precision navigation systems such as microwave landing systems (MLS) and the Global Positioning System (GPS) open the possibility of curved paths, steep glide slopes, and decelerating helicopter approaches. This study evaluated the feasibility, benefits, and liabilities of using helicopter cockpit simulators in place of flight testing to develop enhanced TERPS criteria for non-standard flight profiles and navigation equipment. Near-term (2 to 5 year) requirements for conducting simulator studies to verify that they produce suitable data comparable to that obtained from previous flight tests are discussed. The long-term (5 to 10 year) research and development requirements to provide necessary modeling for continued simulator-based testing to develop enhanced TERPS criteria are also outlined

    Navigation and flight director guidance for the NASA/FAA helicopter MLS curved approach flight test program

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    The navigation and flight director guidance systems implemented in the NASA/FAA helicopter microwave landing system (MLS) curved approach flight test program is described. Flight test were conducted at the U.S. Navy's Crows Landing facility, using the NASA Ames UH-lH helicopter equipped with the V/STOLAND avionics system. The purpose of these tests was to investigate the feasibility of flying complex, curved and descending approaches to a landing using MLS flight director guidance. A description of the navigation aids used, the avionics system, cockpit instrumentation and on-board navigation equipment used for the flight test is provided. Three generic reference flight paths were developed and flown during the test. They were as follows: U-Turn, S-turn and Straight-In flight profiles. These profiles and their geometries are described in detail. A 3-cue flight director was implemented on the helicopter. A description of the formulation and implementation of the flight director laws is also presented. Performance data and analysis is presented for one pilot conducting the flight director approaches

    Investigation of image enhancement techniques for the development of a self-contained airborne radar navigation system

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    This study was devoted to an investigation of the feasibility of applying advanced image processing techniques to enhance radar image characteristics that are pertinent to the pilot's navigation and guidance task. Millimeter (95 GHz) wave radar images for the overwater (i.e., offshore oil rigs) and overland (Heliport) scenario were used as a data base. The purpose of the study was to determine the applicability of image enhancement and scene analysis algorithms to detect and improve target characteristics (i.e., manmade objects such as buildings, parking lots, cars, roads, helicopters, towers, landing pads, etc.) that would be helpful to the pilot in determining his own position/orientation with respect to the outside world and assist him in the navigation task. Results of this study show that significant improvements in the raw radar image may be obtained using two dimensional image processing algorithms. In the overwater case, it is possible to remove the ocean clutter by thresholding the image data, and furthermore to extract the target boundary as well as the tower and catwalk locations using noise cleaning (e.g., median filter) and edge detection (e.g., Sobel operator) algorithms

    Sensitivity analysis of helicopter IMC decelerating steep approach and landing performance to navigation system parameters

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    Results of a study to investigate, by means of a computer simulation, the performance sensitivity of helicopter IMC DSAL operations as a function of navigation system parameters are presented. A mathematical model representing generically a navigation system is formulated. The scenario simulated consists of a straight in helicopter approach to landing along a 6 deg glideslope. The deceleration magnitude chosen is 03g. The navigation model parameters are varied and the statistics of the total system errors (TSE) computed. These statistics are used to determine the critical navigation system parameters that affect the performance of the closed-loop navigation, guidance and control system of a UH-1H helicopter

    VTOL shipboard letdown guidance system analysis

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    Alternative letdown guidance strategies are examined for landing of a VTOL aircraft onboard a small aviation ship under adverse environmental conditions. Off line computer simulation of shipboard landing task is utilized for assessing the relative merits of the proposed guidance schemes. The touchdown performance of a nominal constant rate of descent (CROD) letdown strategy serves as a benchmark for ranking the performance of the alternative letdown schemes. Analysis of ship motion time histories indicates the existence of an alternating sequence of quiescent and rough motions called lulls and swells. A real time algorithms lull/swell classification based upon ship motion pattern features is developed. The classification algorithm is used to command a go/no go signal to indicate the initiation and termination of an acceptable landing window. Simulation results show that such a go/no go pattern based letdown guidance strategy improves touchdown performance

    Research on new techniques for the analysis of manual control systems Progress report, 15 Dec. 1968 - 15 Jun. 1969

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    Decision processes of human manual controllers, neuromuscular system, and stochastic processe

    Political incumbency effects in India: a regional analysis

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    The significance of a study of political incumbency and the factors influencing it stems from the fact that it directly affects the behaviour of the incumbent political party and its accountability to the electorate. We use data on Parliamentary Elections in India from 1980 to 2014 to tease out evidence of incumbency advantage. We employ Regression Discontinuity Design (RDD) to estimate the incumbency effect. Our results indicate the absence of any incumbency effect when considering all elections in India together. This finding is at odds with the research reported so far. To explain our contrary result, we drilled down deeper to obtain a more granular view of the incumbency effect in India. We do this across various regions of India. The results show that north Indian states generally show strong evidence of incumbency disadvantage while south Indian states show strong evidence of incumbency advantage. We also show that incumbency advantage has increased over time

    Review on OFS: Online Feature Selection based on Regression analysis and Clustering method along with its Application

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    In Data mining the Feature selection is one of the main techniques. In this its result shows, almost all learning of feature selection is finite to batch learning. Not similar to existing batch learning methods, online learning can be chosen by an encouraging family of well-organized and scalable machine learning algorithms for large-scale approach. The large scale quantity of online learning needs to retrieve all the features/attributes of occurrence. The difficulty in Online Feature Selection in which the online learner is allowed to maintain a classifier that involved a small and fixed or exact number of features. This article demonstrates two different tasks of online feature selection. First one is learning with full input and second is learning with partial input. The sparsity regularization and truncation techniques are used for developing the algorithms. There is a challenge of online feature selection is how to make prediction accurately for an instance using a small number of active features in high dimensionality. The proposed system presents novel method such as Multiclass classification, Regression analysis and Clustering method to clear up each of the two problems and give their performance analysis

    Analytical methodology for determination of helicopter IFR precision approach requirements

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    A systematic analytical approach to the determination of helicopter IFR precision approach requirements is formulated. The approach is based upon the hypothesis that pilot acceptance level or opinion rating of a given system is inversely related to the degree of pilot involvement in the control task. A nonlinear simulation of the helicopter approach to landing task incorporating appropriate models for UH-1H aircraft, the environmental disturbances and the human pilot was developed as a tool for evaluating the pilot acceptance hypothesis. The simulated pilot model is generic in nature and includes analytical representation of the human information acquisition, processing, and control strategies. Simulation analyses in the flight director mode indicate that the pilot model used is reasonable. Results of the simulation are used to identify candidate pilot workload metrics and to test the well known performance-work-load relationship. A pilot acceptance analytical methodology is formulated as a basis for further investigation, development and validation
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