Relevant bibliographies by topics / Interactive Multiple Model algoritmus

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Interactive Multiple Model algoritmus'

Author: Grafiati
Published: 28 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Interactive Multiple Model algoritmus"

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Liu, Qiaoran, and Xun Yang. "Improved Interacting Multiple Model Particle Filter Algorithm." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 1 (February 2018): 169–75. http://dx.doi.org/10.1051/jnwpu/20183610169.

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For the issue of limited filtering accuracy of interactive multiple model particle filter algorithm caused by the resampling particles don't contain the latest observation information, we made improvements on interactive multiple model particle filter algorithm in this paper based on mixed kalman particle filter algorithm. Interactive multiple model particle filter algorithm is proposed. In addition, the composed methods influence to tracking accuracy are discussed. In the new algorithm the system state estimation is generated with unscented kalman filter (UKF) first and then use the extended kalman filter (EKF) to get the proposal distribution of the particles, taking advantage of the measure information to update the particles' state. We compare and analyze the target tracking performance of the proposed algorithm of IMM-MKPF in this paper, IMM-UPF and IMM-EPF through the simulation experiment. The results show that the tracking accuracy of the proposed algorithm is superior to other two algorithms. Thus, the new method in this paper is effective. The method is of important to improve tracking accuracy further for maneuvering target tracking under the non-linear and non-Gaussian circumstances.
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Liu, Ming Yong, Yang Li, and Xiao Jian Zhang. "A Research on the Weight of Interactive Multiple Model in Maneuvering Target Tracking." Applied Mechanics and Materials 568-570 (June 2014): 1008–11. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1008.

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The establishment of the target model is the key of maneuvering target tracking. The previous research on interactive multiple model, which is applied on tracking extensively, focused on the design of the model set and fusion with other algorithms, while there is less study on change mechanisms of the model weight. In light of this, the impetus behind this paper is to do some analysis which based on the model weight of different trajectories, reveal the change rule. Finally, the validity of the proposed approach is demonstrated by simulation.
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Funkhouser, Thomas, Seth Teller, Carlo Séquin, and Delnaz Khorramabadi. "The UC Berkeley System for Interactive Visualization of Large Architectural Models." Presence: Teleoperators and Virtual Environments 5, no. 1 (January 1996): 13–44. http://dx.doi.org/10.1162/pres.1996.5.1.13.

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Realistic-looking architectural models with furniture may consist of millions of polygons and require gigabytes of data—far than today's workstations can render at interactive frame rates or store in physical memory. We have developed data structures and algorithms for identifying a small portion of a large model to load into memory and render during each frame of an interactive walkthrough. Our algorithms rely upon an efficient display database that represents a building model as a set of objects, each of which can be described at multiple levels of detail, and contains an index of spatial cells with precomputed cell-to-cell and cell-to-object visibility information. As the observer moves through the model interactively, a real-time visibility algorithm traces sightline beams through transparent cell boundaries to determine a small set of objects potentially visible to the observer. An optimization algorithm dynamically selects a level of detail and rendering algorithm with which to display each potentially visible object to meet a userspecified target frame time. Throughout, memory management algorithms predict observer motion and prefetch objects from disk that may become visible during imminent frames. This paper describes an interactive building walkthrough system that uses these data structures and algorithms to maintain interactive frame rates during visualization of very large models. So far, the implementation supports models whose major occluding surfaces are axis-aligned rectangles (e.g., typical buildings). This system is able to maintain over twenty frames per second with little noticeable detail elision during interactive walkthroughs of a building model containing over one million polygons.
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Tanaka, Misato, Yasunari Sasaki, Mitsunori Miki, and Tomoyuki Hiroyasu. "Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences." Applied Computational Intelligence and Soft Computing 2013 (2013): 1–16. http://dx.doi.org/10.1155/2013/302573.

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We apply an interactive genetic algorithm (iGA) to generate product recommendations. iGAs search for a single optimum point based on a user’s Kansei through the interaction between the user and machine. However, especially in the domain of product recommendations, there may be numerous optimum points. Therefore, the purpose of this study is to develop a new iGA crossover method that concurrently searches for multiple optimum points for multiple user preferences. The proposed method estimates the locations of the optimum area by a clustering method and then searches for the maximum values of the area by a probabilistic model. To confirm the effectiveness of this method, two experiments were performed. In the first experiment, a pseudouser operated an experiment system that implemented the proposed and conventional methods and the solutions obtained were evaluated using a set of pseudomultiple preferences. With this experiment, we proved that when there are multiple preferences, the proposed method searches faster and more diversely than the conventional one. The second experiment was a subjective experiment. This experiment showed that the proposed method was able to search concurrently for more preferences when subjects had multiple preferences.
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Čertický, Martin, Michal Čertický, Peter Sinčák, Gergely Magyar, Ján Vaščák, and Filippo Cavallo. "Psychophysiological Indicators for Modeling User Experience in Interactive Digital Entertainment." Sensors 19, no. 5 (February 26, 2019): 989. http://dx.doi.org/10.3390/s19050989.

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Analyses of user experience in the electronic entertainment industry currently rely on self-reporting methods, such as surveys, ratings, focus group interviews, etc. We argue that self-reporting alone carries inherent problems—mainly the misinterpretation and temporal delay during longer experiments—and therefore, should not be used as a sole metric. To tackle this problem, we propose the possibility of modeling consumer experience using psychophysiological measures and demonstrate how such models can be trained using machine learning methods. We use a machine learning approach to model user experience using real-time data produced by the autonomic nervous system and involuntary psychophysiological responses. Multiple psychophysiological measures, such as heart rate, electrodermal activity, and respiratory activity, have been used in combination with self-reporting to prepare training sets for machine learning algorithms. The training data was collected from 31 participants during hour-long experiment sessions, where they played multiple video-games. Afterwards, we trained and compared the results of four different machine learning models, out of which the best one produced ∼96% accuracy. The results suggest that psychophysiological measures can indeed be used to assess the enjoyment of digital entertainment consumers.
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Chanyaswad, Thee, Changchang Liu, and Prateek Mittal. "RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release." Proceedings on Privacy Enhancing Technologies 2019, no. 1 (January 1, 2019): 26–46. http://dx.doi.org/10.2478/popets-2019-0003.

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Abstract A key challenge facing the design of differential privacy in the non-interactive setting is to maintain the utility of the released data. To overcome this challenge, we utilize the Diaconis-Freedman-Meckes (DFM) effect, which states that most projections of high-dimensional data are nearly Gaussian. Hence, we propose the RON-Gauss model that leverages the novel combination of dimensionality reduction via random orthonormal (RON) projection and the Gaussian generative model for synthesizing differentially-private data. We analyze how RON-Gauss benefits from the DFM effect, and present multiple algorithms for a range of machine learning applications, including both unsupervised and supervised learning. Furthermore, we rigorously prove that (a) our algorithms satisfy the strong ɛ-differential privacy guarantee, and (b) RON projection can lower the level of perturbation required for differential privacy. Finally, we illustrate the effectiveness of RON-Gauss under three common machine learning applications – clustering, classification, and regression – on three large real-world datasets. Our empirical results show that (a) RON-Gauss outperforms previous approaches by up to an order of magnitude, and (b) loss in utility compared to the non-private real data is small. Thus, RON-Gauss can serve as a key enabler for real-world deployment of privacy-preserving data release.
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Okkan, Umut, and Umut Kirdemir. "Towards a hybrid algorithm for the robust calibration of rainfall–runoff models." Journal of Hydroinformatics 22, no. 4 (May 8, 2020): 876–99. http://dx.doi.org/10.2166/hydro.2020.016.

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Abstract In this study, the hybrid particle swarm optimization (HPSO) algorithm was proposed and practised for the calibration of two conceptual rainfall–runoff models (dynamic water balance model and abcde). The performance of the developed method was compared with those of several metaheuristics. The models were calibrated for three sub-basins, and multiple performance criteria were taken into consideration in comparison. The results indicated that HPSO was derived significantly better and more consistent results than other algorithms with respect to hydrological model errors and convergence speed. A variance decomposition-based method – analysis of variance (ANOVA) – was also used to quantify the dynamic sensitivity of HPSO parameters. Accordingly, the individual and interactive uncertainties of the parameters defined in the HPSO are relatively low.
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SHINDE, AMIT, MOEED HAGHNEVIS, MARCO A. JANSSEN, GEORGE C. RUNGER, and MANI JANAKIRAM. "SCENARIO ANALYSIS OF TECHNOLOGY PRODUCTS WITH AN AGENT-BASED SIMULATION AND DATA MINING FRAMEWORK." International Journal of Innovation and Technology Management 10, no. 05 (October 2013): 1340019. http://dx.doi.org/10.1142/s0219877013400191.

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A framework is presented to simulate and analyze the effect of multiple business scenarios on the adoption behavior of a group of technology products. Diffusion is viewed as an emergent phenomenon that results from the interaction of consumers. An agent-based model is used in which potential adopters of technology product are allowed to be influenced by their local interactions within the social network. Along with social influence, the effect of product features is important and we ascribe feature sensing attributes to the consumer agents along with sensitivities to social influence. The model encompasses utility theory and discrete choice models in the decision-making process for the consumers. We use expressive machine learning algorithms that can handle complex, nonlinear, and interactive effects to identify important inputs that contribute to the model and to graphically summarize their effects. We present a realistic case study that demonstrates the ability of this framework to model changes in market shares for a group of products in response to business scenarios such as new product introduction and product discontinuation under different pricing strategies. The models and other tools developed here are envisioned to be a part of a recommender system that provides insights into the effects of various business scenarios on shaping market shares of different product groups.
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Tavana, Madjid, Dawn A. Trevisani, and Jerry L. Dussault. "The Stability Model." International Journal of Information Technology Project Management 4, no. 2 (April 2013): 18–34. http://dx.doi.org/10.4018/jitpm.2013040102.

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The increasing complexity and tight coupling between people and technology in military Command and Control (C2) systems has led to greater vulnerability due to system failure. Although system vulnerabilities cannot be completely eliminated, the accidental or anticipated failures have to be thoroughly understood and guarded. Traditionally, the failure in C2 systems has been studied with resiliency and the concept of self-healing systems represented with reactive models or robustness and the concept of self-protecting systems represented with proactive models. The authors propose the stability model for simultaneous consideration of robustness and resiliency in C2 systems. Robustness and resiliency are measured with multiple criteria (i.e. repair-recovery times and repair-recovery costs). The proposed interactive framework plots the robustness and resiliency measures in a Cartesian coordinate system and derives an overall stability index for various states of the C2 system based on the theory of displaced ideals. An ideal state is formed as a composite of the best performance values and a nadir state is formed as a composite of the worst performance values exhibited by the system. Proximity to each of these performance poles is measured with the Euclidean distance. The C2 system should be as close to the ideal state as possible and as far from the nadir state as possible. The stability index is a composite measure of distance from the ideal and nadir states in the C2 system. The authors present a case study at the Air Force Research Laboratory to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures and algorithms.
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Butterworth, Erik, Bartholomew E. Jardine, Gary M. Raymond, Maxwell L. Neal, and James B. Bassingthwaighte. "JSim, an open-source modeling system for data analysis." F1000Research 2 (December 30, 2013): 288. http://dx.doi.org/10.12688/f1000research.2-288.v1.

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JSim is a simulation system for developing models, designing experiments, and evaluating hypotheses on physiological and pharmacological systems through the testing of model solutions against data. It is designed for interactive, iterative manipulation of the model code, handling of multiple data sets and parameter sets, and for making comparisons among different models running simultaneously or separately. Interactive use is supported by a large collection of graphical user interfaces for model writing and compilation diagnostics, defining input functions, model runs, selection of algorithms solving ordinary and partial differential equations, run-time multidimensional graphics, parameter optimization (8 methods), sensitivity analysis, and Monte Carlo simulation for defining confidence ranges. JSim uses Mathematical Modeling Language (MML) a declarative syntax specifying algebraic and differential equations. Imperative constructs written in other languages (MATLAB, FORTRAN, C++, etc.) are accessed through procedure calls. MML syntax is simple, basically defining the parameters and variables, then writing the equations in a straightforward, easily read and understood mathematical form. This makes JSim good for teaching modeling as well as for model analysis for research. For high throughput applications, JSim can be run as a batch job. JSim can automatically translate models from the repositories for Systems Biology Markup Language (SBML) and CellML models. Stochastic modeling is supported. MML supports assigning physical units to constants and variables and automates checking dimensional balance as the first step in verification testing. Automatic unit scaling follows, e.g. seconds to minutes, if needed. The JSim Project File sets a standard for reproducible modeling analysis: it includes in one file everything for analyzing a set of experiments: the data, the models, the data fitting, and evaluation of parameter confidence ranges. JSim is open source; it and about 400 human readable open source physiological/biophysical models are available at http://www.physiome.org/jsim/.
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Dissertations / Theses on the topic "Interactive Multiple Model algoritmus"

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Benko, Matej. "Hledaní modelů pohybu a jejich parametrů pro identifikaci trajektorie cílů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445467.

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Táto práca sa zaoberá odstraňovaním šumu, ktorý vzniká z tzv. multilateračných meraní leteckých cieľov. Na tento účel bude využitá najmä teória Bayesovských odhadov. Odvodí sa aposteriórna hustota skutočnej (presnej) polohy lietadla. Spolu s polohou (alebo aj rýchlosťou) lietadla bude odhadovaná tiež geometria trajektórie lietadla, ktorú lietadlo v aktuálnom čase sleduje a tzv. procesný šum, ktorý charakterizuje ako moc sa skutočná trajektória môže od tejto líšiť. Odhad spomínaného procesného šumu je najdôležitejšou časťou tejto práce. Je odvodený prístup maximálnej vierohodnosti a Bayesovský prístup a ďalšie rôzne vylepšenia a úpravy týchto prístupov. Tie zlepšujú odhad pri napr. zmene manévru cieľa alebo riešia problém počiatočnej nepresnosti odhadu maximálnej vierohodnosti. Na záver je ukázaná možnosť kombinácie prístupov, t.j. odhad spolu aj geometrie aj procesného šumu.
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Ege, Emre. "A Comparative Study Of Tracking Algorithms In Underwater Environment Using Sonar Simulation." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608866/index.pdf.

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Target tracking is one the most fundamental elements of a radar system. The aim of target tracking is the reliable estimation of a target'
s true state based on a time history of noisy sensor observations. In real life, the sensor data may include substantial noise. This noise can render the raw sensor data unsuitable to be used directly. Instead, we must filter the noise, preferably in an optimal manner. For land, air and surface marine vehicles, very successful filtering methods are developed. However, because of the significant differences in the underwater propagation environment and the associated differences in the corresponding sensors, the successful use of similar principles and techniques in an underwater scenario is still an active topic of research. A comparative study of the effects of the underwater environment on a number of tracking algorithms is the focus of the present thesis. The tracking algorithms inspected are: the Kalman Filter, the Extended Kalman Filter and the Particle Filter. We also investigate in particular the IMM extension to KF and EKF filters. These algorithms are tested under several underwater environment scenarios.
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Canolla, Adriano. "Interactive Multiple Model Estimation for Unmanned Aircraft Systems Detect and Avoid." Thesis, Illinois Institute of Technology, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13419136.

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This research presents new methods to apply safety standards to Detect and Avoid (DAA) functions for Unmanned Aircraft Systems (UAS), using maneuvering target tracking and encounter models.

Previous DAA research methods focused on predefined, linear encounter generation. The new estimation and prediction methods in this research are based on the target tracking of maneuvering intruders using Multiple Model Adaptive Estimation and a realistic random encounter generation based on an established encounter model.

When tracking maneuvering intruders there is limited knowledge of changes in intruder behavior beyond the current measurement. The standard Kalman filter (KF) with a single motion model is limited in performance for such problems due to ineffective responses as the target maneuvers. In these cases, state estimation can be improved using MMAE. It is assumed that the current active dynamic model is one of a discrete set of models, each of which is the basis for a separate filter. These filters run in parallel to estimate the states of targets with changing dynamics.

In practical applications of multiple model systems, one of the most popular algorithms for the MMAE is the Interacting Multiple Model (IMM) estimator. In the IMM, the regime switching is modeled by a finite state homogeneous Markov Chain. This is represented by a transition probability matrix characterizing the mode transitions. A Markov Chain is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the previous event.

This research uses the hazard states estimates (which are derived from DAA standards) to analyze the IMM performance, and then presents a new method to predict the hazard states. To reduce the prediction error, this new method accounts for maneuvering intruders. The new prediction method uses the prediction phase in the IMM algorithm to predict the future intruder aircraft states based on the current and past sensor measurements.

The estimation and prediction methods described in this thesis can help ensure safe encounters between UAS and manned aircraft in the National Airspace System through improvement of the trajectory estimation used to inform the DAA sensor certification process.

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Conklin, Nathan James. "A web-based, run-time extensible architecture for interactive visualization and exploration of diverse data." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/35998.

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Information visualizations must often be custom programmed to support complex user tasks and database schemas. This is an expensive and time consuming effort, even when general-purpose visualizations are utilized within the solution. This research introduces the Snap visualization server and system architecture that addresses limitations of previous Snap-Together Visualization research and satisfies the need for flexibility in information visualizations. An enhanced visualization model is presented that formalizes multiple-view visualization in terms of the relational data model. An extensible architecture is introduced that enables flexible construction and component integration. It allows the integration of diverse data, letting users spend less time massaging the data prior to visualization. The web-based server enables universal access, easy distribution, and the ability to intermix and exploit existing components. This web-based software architecture provides a strong foundation for future multiple-view visualization development.
Master of Science
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Tsai, Yu-Hsia, and 蔡玉霞. "Effectiveness of Multiple Interactive and Informative Technology-assisted Health Education Program on Atrial Fibrillation Patients Receiving Oral Anticoagulants:Through Health Belief Model." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/286za9.

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博士
國立臺灣大學
護理學研究所
106
Background: Patients with Atrial fibrillation (AFib) are often prescribed oral anticoagulants (OACs) to reduce the risk of stroke. However, considering the general lack of medical knowledge among patients taking OACs, adequate medication instruction is crucial. Purpose: This study examined patients on taking OACs for AFib to determine the effectiveness of a multiple interactive health education program, which was developed based on the Health Belief Model (HBM) and incorporated information technologies. The program’s effectiveness was evaluated according to outcome indicators: the patients’ knowledge regarding OACs, health beliefs, satisfaction over the anticoagulant taken, quality of life (QoL), and health status. Factors that influenced these indicators were also examined. Methodology: A randomized controlled study was conducted on the cardiology outpatients of two medical centers in northern Taiwan. The patients were recruited through purposive sampling. They had been diagnosed with AFib and were receiving OACs. The patients were divided according to the blocks of clinic hours and assigned randomly to the experimental group or control group. The control variables involved demographic characteristics and medical history. The dependent variables and their corresponding research instruments were medication knowledge and health beliefs (questionnaires designed by the research team), medication satisfaction (Duke Anticoagulation Satisfaction Scale, DASS), QoL (Short Form-12, SF-12), and health status. Other than the medication knowledge questionnaire, which was assessed monthly, all the measurement instruments were applied twice: first in a pretest, and again in a posttest administered at the third month. The interventions administered to the experimental group were one-on-one instruction and HBM-driven strategies, health information technology system, monthly telephone follow-ups, and providing medication cards. Patients in the control group only received brochure and medication cards. The data were analyzed using descriptive statistics and inferential statistics (t-test, ANOVA, Chi-square test, McNemar test and Pearson correlation). The effectiveness of the interventions was analyzed using Generalized Estimating Equation (GEE) and effect size. Predictors of the effectiveness were analyzed using multiple linear regression. Results: In total, 164 participants were recruited, and their average age was 65.71 ± 9.84 years. The majority of the patients were men and had an educational level of elementary school. Other than cancer history, the two groups exhibited no difference in pretest. Regarding the posttests, 159 participants were involved, of whom 79 belonged to the experimental group and 80 to the control group. For “knowledge of anticoagulants”, the experimental group’s posttest scores higher than those of the control group for all three posttests. This effectiveness indicated that the instruction program had a high effect size. Of the related complicated and safety issues of interactions between diet or medication exhibited the greatest effectiveness. Regarding the total score of health beliefs, the experimental group’s score of improvement was higher than that of the control group, and the experimental group’s posttest score was higher than the control group significantly. In terms of these effectiveness, the related interventions were deemed to be moderate effect size, and were most effective in the aspect of “self-efficacy”. With regard to “cues to action”, experimental group patients who studied the medical instruction slideshows and who used mobile applications and Facebook revealed a higher total score in knowledge of anticoagulants than those who did not. Those who used medication cards revealed higher total scores in knowledge and health belief. For “medication satisfaction”, the posttest score of the experimental group revealed an increase, but the related interventions were of low effectiveness. Regarding “QoL”, both groups exhibited little difference over the three months, and the difference between the two groups was also nonsignificant. For “health status”, no difference was observed between the two groups in the number of members that experienced bleeding and the international normalization ratio, none of the participants experienced a stroke during the study period. The results of the factors that influenced the effectiveness indicators revealed that the improvements of total scores for knowledge of anticoagulants and health belief were positively correlated. Predictors for high improvement in knowledge included experimental group (B = 5.87), taking non-vitamin K antagonist OACs (B = 3.37), lower perceived severity (B = -0.08), lower self-efficacy (B = -0.06) and higher medication satisfaction (B = -0.05) (lower total score of DASS) in the pretest, and the total variance explained was 58.4%. The predictors for high improvement in health belief were lower medication knowledge pretest score (B = -0.68) and experimental group (B = 6.63), and the total variance explained was 14.3%. Conclusion: This study determined that the multiple interactive health education program, which was developed on the theoretical basis of the Health Belief Model, was significantly more effective than mere provision brochure in improving patients’ knowledge of anticoagulants and patients’ health beliefs. However, the program’s effectiveness was low in terms of patients’ medication satisfaction and QoL. Providing health education based on theory and multiple methods is imperative to improve medication knowledge and health beliefs. It is especially suitable for complicated issues of anticoagulants. Health providers should pay more attention to the different needs among patients who are taking variant anticoagulants, increasing patients’ awareness of taking anticoagulants, self-efficacy for performing precautions, and decreasing the impacts and burdens of taking OACs when designing an educational intervention, which are essential factors for advancement in medication knowledge. The improvements of knowledge of anticoagulants and health belief were correlated. Promoting patients’ medication knowledge will also improve their health beliefs.
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Wu, Po-Fu, and 吳柏富. "3D Digital Map Data Fusion Enabled Real-time Precision Positioning For the Self-driving System Using the Unscented Kalman Filter and Interactive Multiple Model Based Vehicle Motion Detection Techniques." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/94351788298999523598.

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碩士
國立臺灣大學
機械工程學研究所
105
This research proposes an approach that is able to locate vehicle position with lane level precision using low-cost multi-sensor fusion including commercial GNSS, IMU and digital maps. The approach is based on interactive multiple models (IMM), data fusion, and unscented Kalman filter techniques. The unscented Kalman filter (UKF) technique is used to design the estimator of the vehicle position, as well as executing data fusion which integrates multiple sensor data. The sigma points around the position center will be calculated by unscented transform, representing the probability of vehicle position. In this research, the probability of vehicle motion is also estimated by the motion sensor through IMM, including longitudinal motion, lateral motion and slope motion. For the estimation result, digital maps will be used to increase the precision of the vehicle position by providing road information and attributes. By utilizing the constraints such as road boundary on UKF, the sigma points positions can be realigned according to the position reference, increasing the precision of vehicle position. The algorithms proposed in this research uses road and vehicle information obtained from vehicle dynamics simulation software CarSim to validate positioning precision with different vehicle velocity and motion. The results when compared with general cases demonstrated significant enhancement on vehicle positioning, with the proposed algorithm able to gather more road and vehicle motion related data for the driver. Finally, the proposed system has been validated using experimental vehicle driven around the NTU campus and Shue-Yuan expressway, with results showing consistent positioning precision elevation down to lane level.
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Saroj, Kumar G. "An Integrated Estimation-Guidance Approach for Seeker-less Interceptors." Thesis, 2015. http://etd.iisc.ernet.in/2005/3828.

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In this thesis, the problem of intercepting highly manoeuvrable threats using seeker-less interceptors that operate in the command guidance mode, is addressed. These systems are more prone to estimation errors than standard seeker-based systems. Several non-linear and optimal estimation and guidance concepts are presented in this thesis for interception of randomly maneuvering targets by seeker-less interceptors. The key contributions of the thesis can be broadly categorized into six groups, namely (i) an optimal selection of bank of lters in interactive multiple model (IMM) scheme to cater to various maneuvers that are expected during the end-game, (ii) an innovative algorithm to reduce chattering phenomenon and formulate effective guidance algorithm based on 'differential game guidance law' (modi ed DGL), (iii) IMM/DGL and IMM/modified DGL based integrated estimation/guidance (IEG) strategy, (iv) sensitivity and robustness analysis of Kalman lters and ne tuning of lters in filter bank using innovation covariance, (v) Performance of tuned IMM/PN, tuned IMM/DGL and tuned IMM/modi ed DGL against various target maneuvers, (vi) Performance comparison with realistic missile model. An innovative generalized state estimation formulation has been proposed in this the-sis for accurately estimating the states of incoming high speed randomly maneuvering targets. The IMM scheme and an optimal selection of lters, to cater to various maneu-vers that are expected during the end-game, is described in detail. The key advantage of this formulation is that it is generic and can capture evasive target maneuver as well as straight moving targets in a uni ed framework without any change of target model and tuning parameters. In this thesis, a game optimal guidance law is described in detail for 2D and 3D engagements. The performance of the differential game based guidance law (DGL) is compared with conventional Proportional Navigation (PN) guidance law, especially for 3D interception scenarios. An innovative chatter removal algorithm is introduced by modifying the differential game based guidance law (modified DGL). In this algorithm, chattering is reduced to the maximum extent possible by introducing a boundary layer around the switching surface and using a continuous control within the boundary layer. The thesis presents performance of the modified DGL algorithm against PN and DGL, through a comparison of miss distances and achieved accelerations. Simulation results are also presented for varying fiight path angle errors. Apart from the guidance logic, two novel ideas have been presented following the evolving "integrated estimation and guidance" philosophy. In the rst approach, an in-tegrated estimation/guidance (IEG) algorithm that integrates IMM estimator with DGL law (IMM/DGL), is proposed for seeker-less interception. In this interception scenario, the target performs an evasive bang-bang maneuver, while the sensor has noisy measure-ments and the interceptor is subject to an acceleration bound. The guidance parameters (i.e., the lateral acceleration commands) are computed with the help of zero e ort miss distance. The thesis presents the performance of the IEG algorithm against combined IMM with PN (IMM/PN), through a comparison of miss distances. In the second ap-proach, a novel modi ed IEG algorithm composed of IMM estimator and modi ed DGL guidance law is introduced to eliminate the chattering phenomenon. Results from both of these integrated approaches are quite promising. Monte Carlo simulation results re-veal that modi ed IEG algorithm achieves better homing performance, even if the target maneuver model is unknown to the estimator. These results and their analysis o er an insight to the interception process and the proposed algorithms. The selection of lter tuning parameters puts forward a major challenge for scien-tists and engineers. Two recently developed metrics, based on innovation covariance, are incorporated for determining the filter tuning parameters. For predicting the proper combination of the lter tuning parameters, the metrics are evaluated for a 3D interception problem. A detailed sensitivity and robustness analysis is carried out for each type of Kalman lters. Optimal and tuned Kalman lters are selected in the IMM con guration to cater to various maneuvers that are expected during the end-game. In the interception scenario examined in this thesis, the target performs various types of maneuvers, while the sensor has noisy measurements and the interceptor is subject to acceleration bound. The tuned IMM serves as a basis for synthesis of e cient lters for tracking maneuvering targets and reducing estimation errors. A numerical study is provided which demonstrates the performance and viability of tuned IMM/modi ed DGL based modi ed IEG strategy. In this thesis, comparison is also performed between tuned IMM/PN, tuned IMM/DGL and tuned IMM/modi ed DGL in integrated estimation/guidance scheme. The results are illustrated by an extensive Monte Carlo simulation study in the presence of estimation errors. Simulation results are also presented for end game maneuvers and varying light path angle errors . Numerical simulations to study the aerodynamic e ects on integrated estimation/ guidance structure and its e ect on performance of guidance laws are presented. A detailed comparison is also performed between tuned IMM/PN, tuned IMM/DGL and tuned IMM/modi ed DGL in integrated estimation/guidance scheme with realistically modelled missile against various target maneuvers. Though the time taken to intercept is higher when a realistic model is considered, the integrated estimation/guidance law still performs better. The miss distance is observed to be similar to the one obtained by considering simpli ed kinematic models.
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Ejigu, Mengesha Ayene. "Conceptual understanding of quantum mechanics : an investigation into physics students' depictions of the basic concepts of quantum mechanics." Thesis, 2014. http://hdl.handle.net/10500/14157.

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Not only is Quantum Mechanics (QM) conceptually rich, it is also a theory that physics students have found abstract and technically formidable. Nevertheless, compared to other classical topics of physics, university students’ understanding of QM has received minimal attention in the physics education literature. The principal purpose of this study was to characterize the variation in the ways that undergraduate physics students depict the basic concepts of QM and to extrapolate the results to scaffold possible changes to instructional practices at the university that provided the context for the study. In so doing, an adaptation of a developmental phenomenographic perspective was chosen. Empirically, the study was approached through in-depth interviews with 35 physics students from two Ethiopian governmental universities after they had been exposed to the traditional QM course for one-third of a semester. Interview responses were analyzed using phenomenographic approach where a picture of students’ depictions was established for each quantum concept by expounding the given responses. For each basic quantum concept addressed, the structure of the description categories was separately constructed, and overall, it was found that naive, quasi-classical ontology and/or variants of classical ways of visualization are dominant in students’ responses. For example, it was found that students’ depictions of the photon concept could be described with three distinct categories of description, which are (a) classical intuitive description, (b) mixed model description and (c) quasi-quantum model description. Similarly, the findings revealed that it is possible to establish three qualitatively different categories of description to picture students’ depictions of matter waves, namely, (a) classical and trajectory-based description, (b) an intricate blend of classical and quantum description and (c) incipient quantum model description. Likewise, it was found that students’ depictions of uncertainty principle can be described as: (a) uncertainty as classical ignorance, (b) uncertainty as measurement disturbance and (c) uncertainty as a quasi-quantum principle. With regard to learning QM, the categories of description made clear several issues: most students did not have enough knowledge to depict the basic concepts of QM properly; they were influenced by the perspective of classical physics and their perceptions in making explanations about QM; and they also applied mixed ideas, one based on their classical model and the other from newly introduced QM. These results are also supported by the findings of previous studies in similar domains. Findings from the study were used to guide the design of multiple representations-based instructions and interactive learning tutorials on the conceptual aspects of QM that has been shown to address specific difficulties identified in the study. Theoretical and practical implications of the study, as well as potential future considerations are drawn.
Mathematics, Science and Technology Education
D. Phil. (Mathematics, Science and Technology Education)
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Books on the topic "Interactive Multiple Model algoritmus"

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Julien, Benoît. A fuzzy interactive screening model for multiple attribute decision-making. Ottawa: National Library of Canada, 1990.

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Arnold, Robert M., Anthony L. Back, Walter F. Baile, Kelly A. Edwards, and James A. Tulsky. The Oncotalk/Vitaltalk model. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198736134.003.0056.

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Clinicians can, with training, improve their communication skills. In this chapter, we describe an interactive, evidence-based method for teaching clinicians to communicate with seriously ill patients. The programme, Vitaltalk, emphasizes small-group teaching with simulated patients and immediate feedback to allow learners to practice how to give serious news, talk about goals of care, and about what is most important to dying patients. This chapter describes common evidence-based principles used in developing an advanced communication skills programme based on Oncotalk experiences, identifies unique aspects of the learning context within an intensive retreat structure, and illustrates the lessons learned that can be tested in other settings. The programme is effective in improving learners’ communication skills in clinical studies. The growth of this programme in multiple specialties is discussed, as are our plans for disseminating the programme in the future.
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Book chapters on the topic "Interactive Multiple Model algoritmus"

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Seffah, Ahmed, and Peter Forbrig. "Multiple User Interfaces: Towards a Task-Driven and Patterns-Oriented Design Model." In Interactive Systems:Design, Specification, and Verification, 118–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36235-5_9.

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Dhassi, Younes, and Abdellah Aarab. "Combined Mean Shift and Interactive Multiple Model for Visual Tracking by Fusing Multiple Cues." In Innovations in Smart Cities and Applications, 288–97. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74500-8_26.

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Castagno, Roberto. "Interactive Object Extraction from Video Sequences for Multimedia Applications Based on Multiple Features." In Noblesse Workshop on Non-Linear Model Based Image Analysis, 127–32. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1597-7_20.

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Beer, Thomas, Gerrit Garbereder, Tobias Meisen, Rudolf Reinhard, and Torsten Kuhlen. "A multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer." In Automation, Communication and Cybernetics in Science and Engineering 2011/2012, 967–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33389-7_72.

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Beer, Thomas, Gerrit Garbereder, Tobias Meisen, Rudolf Reinhard, and Torsten Kuhlen. "A Multi Level Time Model for Interactive Multiple Dataset Visualization: The Dataset Sequencer." In Advances in Visual Computing, 681–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24031-7_68.

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Hussain, D. M. Akbar, Shaiq A. Haq, M. Zafar Ullah Khan, and Zaki Ahmed. "Case Study: Investigating the Performance of Interactive Multiple Motion Model Algorithm for a Crossing Target Scenario." In Wireless Networks, Information Processing and Systems, 332–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89853-5_36.

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Ahmed, Naveed. "Multi-View RGB-D Synchronized Video Acquisition and Temporally Coherent 3D Animation Reconstruction Using Multiple Kinects." In Advances in Multimedia and Interactive Technologies, 142–63. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1025-3.ch007.

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This chapter introduces a system for acquiring synchronized multi-view color and depth (RGB-D) video data using multiple off-the-shelf Microsoft Kinect and methods for reconstructing temporally coherent 3D animation from the multi-view RGB-D video data. The acquisition system is very cost-effective and provides a complete software-based synchronization of the camera system. It is shown that the data acquired by this framework can be registered in a global coordinate system and then can be used to reconstruct the 360-degree 3D animation of a dynamic scene. In addition, a number of algorithms to reconstruct a temporally-coherent representation of a 3D animation without using any template model or a-prior assumption about the underlying surface are also presented. It is shown that despite some limitations imposed by the hardware for the synchronous acquisition of the data, a reasonably accurate reconstruction of the animated 3D geometry can be obtained that can be used in a number of applications.
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"Interactive Multiple Model (IMM) Filter Bank." In Fundamentals of Kalman Filtering: A Practical Approach, Fourth Edition, 777–815. Reston, VA: American Institute of Aeronautics and Astronautics, Inc., 2015. http://dx.doi.org/10.2514/5.9781624102776.0777.0816.

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Xia, Xiaona. "Improved Probabilistic Frequent Itemset Analysis Strategy of Learning Behaviors Based on Eclat Framework." In Decision Making [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97219.

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Interactive learning environment is the key support for education decision making, the corresponding analytics and methodology are the important part of educational technology research and development. As an important part and the research challenge, learning behaviors are uncertain and produce complex data relationships, which makes the learning analysis process more difficult. This chapter studies the feasibility of Eclat framework applying in educational decision making and get the corresponding the data analysis results. We take probabilistic frequent itemsets and association rules as research objectives, extract and standardize multiple data subsets; Based on Eclat framework, using data vertical format, we design and improve the models and algorithms in the process of data management and processing. The results show that the improved models and algorithms are effective and feasible. On the premise of ensuring robustness and stability, the mining quality of probabilistic frequent itemsets and association rules is guaranteed, which is conducive to the construction of key execution topology of learning behaviors, and improves the accuracy and reliability of data association analysis and decision prediction. The whole analysis methods and demonstration processes can provide references for the study of interactive learning environment, as well as decision suggestions and predictive feedback.
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Zhou, Yan, Dongli Wang, Jianxun Li, Lingzhi Yi, and Huixian Huang. "Fuzzy Logic Based Interactive Multiple Model Fault Diagnosis for PEM Fuel Cell Systems." In Discrete Time Systems. InTech, 2011. http://dx.doi.org/10.5772/13994.

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Conference papers on the topic "Interactive Multiple Model algoritmus"

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"Multiple RNA Interaction - Formulations, Approximations, and Heuristics." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004341402420249.

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Mneimneh, Saad, and Syed Ali Ahmed. "A Sampling Approach for Multiple RNA Interaction - Finding Sub-optimal Solutions Fast." In 7th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005707900750084.

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Ng, Gee W., Alex Lau, and Khee Y. How. "Autotuning interactive multiple model." In Aerospace/Defense Sensing and Controls, edited by Michael K. Masten and Larry A. Stockum. SPIE, 1998. http://dx.doi.org/10.1117/12.317504.

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Wang Wei and Li Dan. "The two interacting multiple model algorithms with removing error measurement." In 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2014. http://dx.doi.org/10.1109/wcica.2014.7053736.

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Liu, H. Q., Mandar Chitre, and Gao Rui. "AUV positioning based on interactive multiple model." In OCEANS 2010 IEEE - Sydney. IEEE, 2010. http://dx.doi.org/10.1109/oceanssyd.2010.5603597.

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Messaoudi, Zahir, Abdelaziz Ouldali, and Mourad Oussalah. "Comparison of interactive multiple model particle filter and interactive multiple model unscented particle filter for tracking multiple manoeuvring targets in sensors array." In 2010 IEEE 9th International Conference on Cybernetic Intelligent Systems (CIS). IEEE, 2010. http://dx.doi.org/10.1109/ukricis.2010.5898109.

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Turgut, Kubra, and Ali Koksal Hocaoglu. "Comparison of Tracking Performances of Interacting Multiple Model Algorithms under Irregular Sampling Intervals." In 2019 27th Signal Processing and Communications Applications Conference (SIU). IEEE, 2019. http://dx.doi.org/10.1109/siu.2019.8806521.

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Narkar, Shweta, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, and Justin D. Weisz. "Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML." In IUI '21: 26th International Conference on Intelligent User Interfaces. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3397481.3450658.

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Gong, Dunwei, and Jie Yuan. "Interactive Genetic Algorithms for Optimization of Problems with Multiple Modes and Implicit Performance Indices." In Sixth International Conference on Intelligent Systems Design and Applications. IEEE, 2006. http://dx.doi.org/10.1109/isda.2006.253748.

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Blasch, Erik. "Supervised learning for adaptive interactive multiple model (SLAIMM) tracking." In NAECON 2009 - IEEE National Aerospace and Electronics Conference. IEEE, 2009. http://dx.doi.org/10.1109/naecon.2009.5426622.

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