the proceedings contain 66 papers. the topics discussed include: development of UAV image processing algorithms for early detection of fires in natural ecosystems;modeling satellite repeater for UAV;methods for matchi...
ISBN:
(纸本)9798331534141
the proceedings contain 66 papers. the topics discussed include: development of UAV image processing algorithms for early detection of fires in natural ecosystems;modeling satellite repeater for UAV;methods for matching the current UAV frame with satellite images to improve the accuracy of the visual navigation system;combining pathfinding and weapon-target assignment for air defense;the use of neural networks and quantum algorithms for the classification images from UAV;deep learning-based UAV detection;implementation of an adaptive multi-channel filter system on FPGA;synthesis and modelling of control system for quadrotor motion;algorithm for calculating optimal parameters contributing to UAV operation efficiency;UAV flight control under the presence of dynamic geofencing;and using stacked ensemble classifiers to speed up object recognition in images for mine detection drones.
Signal Transition Graphs (STG) are a formalism for the description of asynchronous circuit behaviour. In this paper we propose (and justify) a formal semantics of non-deterministic STGs with dummies and OR-causality. ...
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Signal Transition Graphs (STG) are a formalism for the description of asynchronous circuit behaviour. In this paper we propose (and justify) a formal semantics of non-deterministic STGs with dummies and OR-causality. For this, we introduce the concept of output-determinacy, which is a relaxation of determinism, and argue that it is reasonable and useful in the speed-independent context. We apply the developed theory to improve an STG decomposition algorithm used to tackle the state explosion problem during circuit synthesis, and present some experimental data for this improved algorithm and some benchmark examples.
In a decentralised wide area surveillance system (D-WASS), the two principal objectives are to first detect the events of interest reliably, and second to track the progression of these events and maintain a globally ...
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ISBN:
(纸本)0780392868
In a decentralised wide area surveillance system (D-WASS), the two principal objectives are to first detect the events of interest reliably, and second to track the progression of these events and maintain a globally consistent track of the object for the extent of the camera fields of view. In this paper, we discuss an implementation of a 9-camera D-WASS with non-contiguous views, and analyse the performance of the tracking and vision sub-systems both empirically and analytically. In this application, event-based change detection algorithms in image space, as well as data association and tracking algorithms in a consistent real world coordinate system are realised in a real-time environment where both physical and temporal constraints are taken into consideration. this system has been demonstrated to work satisfactorily under various operating conditions. In order to characterise the performance of the system, the vision and tracking components, as well as the dependence of the latter on the former from a systems viewpoint, are studied analytically. the results are compared withthose obtained empirically from real ground-truthed data. Potential extensions and improvements to the current implementation are also discussed.
Identification of fuzzy rules is an important issue in designing of a fuzzy neural network (FNN). However, there is no systematic design procedure at present. In this paper we present a genetic algorithm (G,4) based l...
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ISBN:
(纸本)9780769529769
Identification of fuzzy rules is an important issue in designing of a fuzzy neural network (FNN). However, there is no systematic design procedure at present. In this paper we present a genetic algorithm (G,4) based learning algorithm to make use of the known member-ship function to identify the fuzzy rules form a large set of all possible rules. the proposed learning algorithm initially considers all possible rules then uses the training data and the fitness function to perform rule selection. the proposed GA based learning algorithm has been tested with two different sets of training data. the results obtained from the experiments are promising and demonstrate that the proposed G,4 based learning algorithm can provide a reliable mechanism for fuzzy rule selection.
the proceedings contain 37 papers. the topics discussed include: a qualitative framework for analyzing homeostasis in gene networks;knowledge-based subtractive integration of mRNA and miRNA expression profiles to diff...
ISBN:
(纸本)9789897580123
the proceedings contain 37 papers. the topics discussed include: a qualitative framework for analyzing homeostasis in gene networks;knowledge-based subtractive integration of mRNA and miRNA expression profiles to differentiate myelodysplastic syndrome;empirical study of domain adaptation with na?ve bayes on the task of splice site prediction;a novel feature generation method for sequence classification - mutated subsequence generation;uneven distribution of potential triplex sequences in the human genome - in silico study using the R/bioconductor package triplex;Bayesian prognostic model for genomic discovery in bipolar disorder;search of possible insertions in bacterial genes;towards a large integrated model of signal transduction and gene regulation events in mammalian cells;and impact of single amino acid substitution upon protein structure.
this video details the development of an intelligent outdoor Guide robot. the main objective is to deploy an innovative robotic guide which is not only able to show information, but to react to the affective states of...
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ISBN:
(纸本)9781450326582
this video details the development of an intelligent outdoor Guide robot. the main objective is to deploy an innovative robotic guide which is not only able to show information, but to react to the affective states of the users, and to offer location-based services using augmented reality. the scientific challenges concern autonomous outdoor navigation and localization, robust 24/7 operation, affective interaction with visitors through outdoor human and facial feature detection as well as engaging interactive behaviors in an ongoing non-verbal dialogue withthe user.
the proceedings contain 98 papers. the topics discussed include: iterative projector calibration using multi-frequency phase-shifting method;high dynamic range and all-focus image from light field;color texture restor...
ISBN:
(纸本)9781467373364
the proceedings contain 98 papers. the topics discussed include: iterative projector calibration using multi-frequency phase-shifting method;high dynamic range and all-focus image from light field;color texture restoration;illumination-invariant line detection withthe gray-scale Hough transform;illumination-invariant line detection withthe gray-scale Hough transform;normalized cut segmentation with edge constraint for high resolution remote sensing imagery;H-infinity optimal control of unknown linear discrete-time systems: an off-policy reinforcement learning approach;logic-dynamic approach to study nonlinear dynamic systems;value iteration and adaptive optimal control for linear continuous-time systems;robust set invariance and contractivity of continuous-time systems;and spectrum estimation in frequency-domain by subspace and regularization-based algorithms: a survey.
the proceedings contain 104 papers. the topics discussed include: a comparative study using the methods of simulated annealing and non-linear hebbian learning for fuzzy cognitive maps performances;self-labeled hidden ...
ISBN:
(纸本)9781509034291
the proceedings contain 104 papers. the topics discussed include: a comparative study using the methods of simulated annealing and non-linear hebbian learning for fuzzy cognitive maps performances;self-labeled hidden naive bayes algorithm for semi-supervised classification;performance analyses and improvement of multilayer neural networks;algorithms for image processing in graph-based volumetric segmentation;optimizing signal and discriminant information for hyperspectral images;fake banknote detection using multispectral images;hand tracking as a tool to quantify carpal tunnel syndrome preventive exercises;and sound and stereoscopic 3D: examining the effects of sound on depth perception in stereoscopic.
the proceedings contain 167 papers. the topics discussed include: dynamics of ordinary and recurrent Hopfield networks: novel themes;towards achieving efficient and secure way to share the data;parallelization in pred...
ISBN:
(纸本)9781509015603
the proceedings contain 167 papers. the topics discussed include: dynamics of ordinary and recurrent Hopfield networks: novel themes;towards achieving efficient and secure way to share the data;parallelization in predicting species distribution;cache friendly strategies to optimize matrix multiplication;an efficient approach to detect concept drifts in data streams;machine learning methods for solving complex ranking and sorting issues in human resourcing;big data security: survey on frameworks and algorithms;unsupervised learning based context-aware recommendation system;plagiarism detection model using machine learning in hadoop architecture;and continuous automatic speech recognition system using MapReduce framework.
the recognition of bird calls has been a challenging task in the field of bioacoustics. Withthe advancement of machine learning algorithms, automatic bird call recognition has become an active research area. In this ...
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