Thematische Bibliographien / Interactive Multiple Model algoritmus

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Auswahl der wissenschaftlichen Literatur zum Thema „Interactive Multiple Model algoritmus“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Interactive Multiple Model algoritmus"

Liu, Qiaoran, and Xun Yang. "Improved Interacting Multiple Model Particle Filter Algorithm." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 1 (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

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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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V, Dr Manjunatha, Tejashwani H, Sahana K. R, Kishore S. D, and Vishal. "Multiple Disease Prediction Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 12, no. 1 (2024): 612–15. http://dx.doi.org/10.22214/ijraset.2024.58018.

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Abstract: In this comprehensive health analysis project, we delve into the evaluation of Diabetes, heart disease, and Parkinson's disease. Basic health parameters like Pulse Rate, Cholesterol, Blood Pressure, and Heart Rate are scrutinized, enabling the identification of associated risk factors through a prediction model known for its accuracy and precision. The implementation involves leveraging machine learning algorithms, employing Streamlit for interactive interfaces, and employing Python pickling to store model behaviour effectively. Future expansions may encompass diverse health domains

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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 th

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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 (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 ce

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Wang, Junxiang, Xin Wang, Yingying Chen, Mengting Yan, and Hua Lan. "Model Adaptive Kalman Filter for Maneuvering Target Tracking Based on Variational Inference." Electronics 14, no. 10 (2025): 1908. https://doi.org/10.3390/electronics14101908.

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This study introduces a new variational Bayesian adaptive estimator that enhances traditional interactive multiple model (IMM) frameworks for maneuvering target tracking. Conventional IMM algorithms struggle with rapid maneuvers due to model-switching delays and fixed structures. Our method uses Bayesian inference to update change-point statistics in real-time for quick model switching. Variational Bayesian inference approximates the complex posterior distribution, transforming target state estimation and model identification into an optimization task to maximize the evidence lower bound (ELBO

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Kim, Taeheon, Jun Ma, and Min Hong. "Real-Time Cloth Simulation in Extended Reality: Comparative Study Between Unity Cloth Model and Position-Based Dynamics Model with GPU." Applied Sciences 15, no. 12 (2025): 6611. https://doi.org/10.3390/app15126611.

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This study proposes a GPU-accelerated Position-Based Dynamics (PBD) system for realistic and interactive cloth simulation in Extended Reality (XR) environments, and comprehensively evaluates its performance and functional capabilities on standalone XR devices, such as the Meta Quest 3. To overcome the limitations of traditional CPU-based physics simulations, we designed and optimized highly parallelized algorithms utilizing Unity’s Compute Shader framework. The proposed system achieves real-time performance by implementing efficient collision detection and response handling with complex enviro

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Sari, Noer Nilam, Tiyar Tohirotun Anisah, and Risma Fitriani. "Implementasi Machine Learning Untuk Prediksi Harga Laptop Menggunakan Algoritma Regresi Linear Berganda." Jurnal Manajemen Informatika (JAMIKA) 14, no. 2 (2024): 162–77. http://dx.doi.org/10.34010/jamika.v14i2.12923.

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This article discusses the implementation of machine learning using multiple linear regression algorithms to predict laptop prices. The main objective of this research is to design an appropriate predictive model based on various features such as technical specifications and laptop brands. The research stages include literature study, collection of relevant datasets, pre-processing or data cleaning, Exploratory Data Analysis, Feature Engineering, data splitting, model building, and website development. The results show that the proposed model is able to provide price predictions with a high le

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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 (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

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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 (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 e

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Dissertationen zum Thema "Interactive Multiple Model algoritmus"

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

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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&#039 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 an

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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 knowledg

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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 extens

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D'AMATO, VINCENZO STEFANO. "Deep Multi Temporal Scale Networks for Human Motion Analysis." Doctoral thesis, Università degli studi di Genova, 2023. https://hdl.handle.net/11567/1104759.

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The movement of human beings appears to respond to a complex motor system that contains signals at different hierarchical levels. For example, an action such as ``grasping a glass on a table'' represents a high-level action, but to perform this task, the body needs several motor inputs that include the activation of different joints of the body (shoulder, arm, hand, fingers, etc.). Each of these different joints/muscles have a different size, responsiveness, and precision with a complex non-linearly stratified temporal dimension where every muscle has its temporal scale. Parts such as the

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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 out

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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, represe

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Saroj, Kumar G. "An Integrated Estimation-Guidance Approach for Seeker-less Interceptors." Thesis, 2015. http://etd.iisc.ac.in/handle/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

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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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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 t

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Bücher zum Thema "Interactive Multiple Model algoritmus"

Julien, Benoît. A fuzzy interactive screening model for multiple attribute decision-making. 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

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Buchteile zum Thema "Interactive Multiple Model algoritmus"

Scheffe, Patrick, Matheus V. A. Pedrosa, Kathrin Flaßkamp, and Bassam Alrifaee. "Prioritized Trajectory Planning for Networked Vehicles Using Motion Primitives." In Cooperatively Interacting Vehicles. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-60494-2_9.

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AbstractThe computation time required to solve nonconvex, nonlinear optimization problems increases rapidly with their size. This poses a challenge in trajectory planning for multiple networked vehicles with collision avoidance. In the centralized formulation, the optimization problem size increases with the number of vehicles in the networked control system (NCS), rendering the formulation unusable for experiments. We investigate two methods to decrease the complexity of networked trajectory planning. First, we approximate the optimization problem by discretizing the vehicle dynamics with an

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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. 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. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74500-8_26.

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He, Haozhe, Jiawen Wang, Shaoqi Wang, Cong Nie, and Shichao Ma. "Federated Interactive Multiple Model Filtering for Multi-UAV Cooperative Target Tracking." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2228-3_31.

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Korn, Max, Julián Méndez, Sascha Klüppelholz, Ricardo Langner, Christel Baier, and Raimund Dachselt. "PMC-VIS: An Interactive Visualization Tool for Probabilistic Model Checking." In Software Engineering and Formal Methods. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47115-5_20.

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AbstractState-of-the-art Probabilistic Model Checking (PMC) offers multiple engines for the quantitative analysis of Markov Decision Processes (MDPs), including rewards modeling cost or utility values. Despite the huge amount of internally computed information, support for debugging and facilities that enhance the understandability of PMC models and results are very limited. As a first step to improve on that, we present the basic principles of PMC-VIS, a tool that supports the exploration of large MDPs together with the computed PMC results per MDP-state through interactive visualization. By

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Wang, Xiaoning. "Study on Multiple Interactive College English Teaching Model in Digital-Based Settings." In Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022). Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-012-1_90.

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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. 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. 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. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24031-7_68.

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Martínez-Villegas, César T., Didier Theilliol, and Lizeth Torres. "Interactive Multiple Model-Based Fault Diagnosis Approach for Double-Integrator Multi-agent Networks." In Lecture Notes in Control and Information Sciences - Proceedings. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85318-1_2.

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Konferenzberichte zum Thema "Interactive Multiple Model algoritmus"

Huang, Shiming, Cai Ren, Liangliang Wang, and Gui Li. "Interactive multiple model algorithm based on ellipsoidal and linear constraints." In 4th International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), edited by Wenfeng Hu, Wennian Yu, and Aniruddha Bhattacharjya. SPIE, 2025. https://doi.org/10.1117/12.3054444.

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Han, Li, Jingzhou Sun, Liang Shen, Yu Fang, Shan Liu, and Xiaoping Wang. "Robust Interactive Multiple Model based on Mahalanobis Distance for Target Tracking." In 2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS). IEEE, 2025. https://doi.org/10.1109/icaisisas64483.2025.11051590.

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Weng, Hao, Yang Zhou, Wentai Xu, and Zhenglin Li. "Interactive Multiple Model Filter Algorithm for Multi-Object Tracking of Unmanned Surface Vessels." In 2024 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2024. https://doi.org/10.1109/icus61736.2024.10839931.

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Yang, Yicheng, Tiancheng Li, Jingyuan Wang, and Hao Li. "An Interactive Multiple Model Based Deep Learning State Fusion Approach to Target Tracking." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868103.

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Xu, Xie, Chen Xi, Liu Bingqi, Yu Le, Shi Fan, and Li Yanbin. "Coordinated Interactive Optimization Model of Multiple Green Power Entities for UHV Supporting New Energy." In 2025 Asia-Europe Conference on Cybersecurity, Internet of Things and Soft Computing (CITSC). IEEE, 2025. https://doi.org/10.1109/citsc64390.2025.00103.

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Li, Yuansheng, Yixing Du, Ling Cui, and Weilong Qiu. "Interactive multiple-model probability hypothesis density filter for coexisting point and extended targets tracking." In Sixteenth International Conference on Signal Processing Systems (ICSPS 2024), edited by Robert Minasian and Li Chai. SPIE, 2025. https://doi.org/10.1117/12.3060973.

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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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Rogers, Jonathan, and Dakota Musso. "Interacting Multiple Model Algorithms for Rotorcraft Regime Recognition." In Vertical Flight Society 75th Annual Forum & Technology Display. The Vertical Flight Society, 2019. http://dx.doi.org/10.4050/f-0075-2019-14603.

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Regime recognition is a critical tool used for condition-based maintenance, fatigue life prediction, and creation of usage spectra for military and commercial rotorcraft. While a variety of regime recognition algorithms are currently in use, many current algorithms suffer from an over-reliance on training data or poor classification accuracy with respect to the stringent guidelines outlined in ADS-79E. This paper introduces a new type of regime recognition algorithm based on a multiple model adaptive estimation scheme, known as an interacting multiple model (IMM) estimator. IMM estimators use

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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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Berichte der Organisationen zum Thema "Interactive Multiple Model algoritmus"

Melnyk, Yuriy. Academic Journal Website Model. KRPOCH, 2018. http://dx.doi.org/10.26697/preprint.melnyk.1.2018.

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Background: The tens of thousands of academic journal websites that are on the Internet today often do not have a clear organizational structure for their website. If most of them are convenient enough for readers (if the journal is open access), then many have problems informing authors about the conditions, the process of submitting and reviewing the manuscript. The Editorial Offices empirically populate the journal's website with content that can change dramatically (both in terms of website design and content) as the journal develops. Aim of Study: To develop a website model for an academi

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