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This paper presents a data mining technique for qualitative analysis of Hodgkin-Huxley model of cell excitability. Such problem cannot be solved analytically. Therefore we apply Monte-Carlo techniques for the generation of model parameters, and use data mining algorithm for classification of learning tuples obtained. As a result we attain a decision tree capable of classifying the excitability depending...
In polytopic model-based controller synthesis, the vertices of the model determine the achievable performance characteristics. This paper introduces a new concept, that allows for the sophisticated construction of non-simplex enclosing polytopes. The non-simplex structures in general, have much better descriptor properties than the simplex one that leads to less conservative synthesis. The paper demonstrates...
This paper presents a new data-driven air traffic modelling and analysis technique that can support operational risk analysis for unmanned aircraft integration. The proposed technique exploits advances in computer vision to autonomously extract and analyse the spatial distribution of arbitrary traffic densities, which can provide the foundation for quantitative and tailored risk assessments. The framework...
This paper contributes to the growing body of research that attempts to measure online, informal learning. We analyze skill progression in MIT App Inventor, an informal online learning environment with over 5 million users and 15.9 million projects/apps created. Our objective is to understand how people learn computational thinking concepts while creating mobile applications with App Inventor. In...
This paper introduces the concept of functional diagnosability for nonlinear dynamical uncertain models. Set-membership functional diagnosability is based on the notion of functional signature introduced in [11] extended to the set-membership framework. The link between functional diagnosability and set-membership functional diagnosability is established. Contrary to classical definitions, the study...
Trajectory models have numerous applications in the area of wiewlwss communications. The aim of this paper is to develop an empirical trajectory model for drifted motions. Recently, a highly flexible trajectory model based on the primitives of Brownian fields (TramBrown) was proposed by A. Borhani and M. Pätzold. This paper provides an empirical proof for TramBrown using global positioning system...
Major commercial (AAA) games increasingly transit to a semi-persistent or persistent format in order to extend the value of the game to the player, and to add new sources of revenue beyond basic retail sales. Given this shift in the design of AAA titles, game analytics needs to address new types of problems, notably the problem of forecasting future player behavior. This is because player retention...
Resonant power converters have become ubiquitous to efficiently process electrical energy, however, their complicated structure challenges linear controllers in anticipating their large signal performance. Since small-signal modeling techniques do not provide sufficient information regarding the large signal behavior of power converters, nonlinear geometric controllers can be employed to tackle the...
This paper presents a methodology for the parametric identification of the analytic dynamic model of a three degree of freedom delta type parallel robot. Dynamical behavior was modeled using the Euler-Lagrange analytic approach. Analytic dynamic model parameters were estimated using a MSC-ADAMS/MATLAB Cosimulation model. The identification algorithm employed was the recursive least squares, which...
We present a new approach to extracting low-dimensional neural trajectories that summarize the electrocorticographic (ECoG) signals recorded with high-channel-count electrode arrays implanted subdurally. In our approach, Hidden-Markov Factor Analysis (HMFA), a finite set of factor analyzers are used to model the relationship between the high-dimensional ECoG neural space and a low-dimensional latent...
The automatic management of impounded rivers ensures easy and safe navigation implying the realization of two contradicting control goals. These are a steady water level at the ship locks and under bridges as well as the attenuation of discharge transients. The operational local gain scheduled PI based control solution used in Moselle river barrages can only guarantee a steady water level at the cost...
In the process of development of numerical control system, we would actually go to the processing plant to test a strategy or compare the accuracy of trajectory planning, which is not only inefficient, but may lead to mechanical platform damage or safety incidents due to improper use of the parameters. Therefore, we aim to establish virtual simulation system for the lead screw guide system. Based...
This paper addresses the dim target tracking problem with respect to the multi-frame detection (MFD). Generally, the MFD strategy implicitly merges the tracking stage into its framework, by which the estimated target trajectory can be simultaneously returned when a target is declared. However, due to the batch processing manner of MFD, such products, essentially, are short state sequences in time...
With the rapid development of high-energy solid-state lasers, the demand for efficient and precise assembly of large optical components is growing. Currently the assembly of large optical components is low level of automation and labor-intensive. To achieve high level of automation is a very difficult task. The large optical components are very fragile, heavy and expensive. The high-energy solid-state...
Physical rehabilitation training using an intelligent control system is important for the people with lower limb dysfunction. In this paper, the sit-to-stand (STS) trajectory of health persons is researched based on STS biomechanics model. Several novel mechanical structures for intelligent lower limb STS rehabilitation training system are presented. According to the mechanical analysis of its finite...
The incredible progress witnessed in geographic information and pervasive systems equipped with positioning technologies have motivated the evolving of classic data towards mobility or trajectory data resulting from moving objects' displacements and activities. Provided trajectory data have to be extracted, transformed and loaded into a data warehouse for analysis and/or mining purposes; however,...
The research works on maneuver detection and tracking tech-nology for the hypersonic boost-glide (HBG) aircraft. Firstly, its motion models are presented by the earlier research. Then, a maneuver detection method is proposed applying interactive multi-mode (IMM) algorithm based on the switch time of model probability for the hypersonic target. Finally the effective and continuous tracking is realized...
In this paper, we propose an entirely new ultrahigh-speed actuation technique for achieving whip manipulation with a robot manipulator. By using the characteristics of the whip, we can realize high-speed, dexterous manipulation of the whip. In particular, we aim to achieve sonic-speed manipulation (SSM) at the free end of the whip. To achieve this, we explored the feasibility of SSM by trajectory...
Urban travel characteristics is an essential apart of urban crowd flow analysis. Floating car data, known as “FCD”, have been recorded taxis' routine trajectories in cities, which can draw the characteristics of urban crowd flow. As a large volume of datasets, floating car data need an efficient way to process and analyze. A Hadoop-GIS methodology is used in this paper, consists of two major tools...
Boolean networks are popular models to represent gene regulatory networks due to their simplicity and capacity to give an initial idea of the qualitative dynamics of a gene regulatory network represented by the temporal evolution of the protein states. In this paper, we analyze the neutral space of Boolean network models of salt stress response in Arabidopsis through the construction of neutral networks...
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