the problem of mobile objects group motion in an uncertain three-dimensional area with obstacles is considered in the paper. the decision of the problem is carried out using a hybrid algorithm that combines the immedi...
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ISBN:
(纸本)9781538650653
the problem of mobile objects group motion in an uncertain three-dimensional area with obstacles is considered in the paper. the decision of the problem is carried out using a hybrid algorithm that combines the immediate reaction to the obstacles and the scheduling algorithms at the upper level. the reactive component is implemented on the basis of unstable modes, allowing to transform obstacles into repellers. the motion planning is based on heuristic analysis of the data received from the sensory systems and the clustering based on the Delaunay triangulation. the direction of the obstacles bypass and the position of the mobile object in the group are determined as a result of this analysis executing. the method of the trajectory correction by adding the component, generated by the dynamic system transforming into an unstable mode during the obstacles detection, into the upsetting control is proposed in the paper. the proposed algorithms can be implemented decentrally. the analysis of the proposed algorithms is considered and the numerical simulation is performed.
We discuss ideas and propose resources on humor facilitation, as an extension of previous work on this topic. Specifically, we describe a method for achieving humor facilitation as the combination of event detection a...
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ISBN:
(纸本)9783319586977;9783319586960
We discuss ideas and propose resources on humor facilitation, as an extension of previous work on this topic. Specifically, we describe a method for achieving humor facilitation as the combination of event detection and generation of funny comments. We focus on user's mistakes as the preferred unexpected and potentially humorous events. Moreover, we implemented an online testbed consisting of a humor facilitator and two interactive environments: a text editor and a video game. the system is meant to provide a tool for empirical evaluation of the proposed framework.
Sleep apnea is a complete or partial cessation of breathing during sleep. Obstructive sleep apnea (OSA) is one of the most common breathing-related sleep disorders. the well-known reliable and standard diagnosis test ...
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ISBN:
(纸本)9781538663929
Sleep apnea is a complete or partial cessation of breathing during sleep. Obstructive sleep apnea (OSA) is one of the most common breathing-related sleep disorders. the well-known reliable and standard diagnosis test used by specialized physicians is the polysomnographic sleep study. However, this test is complex and time consuming and expensive. therefore, a non-invasive technique applying signal-processing algorithms is of more benefits for identification of OSA patients from normal subjects. Any identification algorithm has two parts: feature extraction part and feature matching part. In this paper, the feature extraction part depends on the wavelet-packet decomposition technique of the Heart Rate Variability (HRV) signal. the feature matching part uses the support vector machine (SVM). the highest performance on MIT standard data is achieved by the linear support vector machine with5 stages wavelet decomposition using db1 filters with specificity, sensitivity, and accuracy of 100%, 90% and 93.34%, respectively.
the use of technology to improve the experience and teaching and learning process in the classroom has been promoted now. One of these technologies is Augmented Reality (AR). Users are in a virtual space while still h...
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ISBN:
(纸本)9781728120942
the use of technology to improve the experience and teaching and learning process in the classroom has been promoted now. One of these technologies is Augmented Reality (AR). Users are in a virtual space while still having nuances in real life called AR. AR has been proven to offer several solutions in the context of education, namely increasing learning involvement and increasing understanding of some materials. this study proposes AR-assisted learning media withthe method of 3D Based Tracking and audio Marker, which is used by preschool children to recognize animals and fruits in English alphabetically, then analyze, evaluate, and know the effects on their use. the Extreme Programming (XP) method is used as an application development method. Application testing is done by black box testing, testing variations between distance, angle, lighting, background, and font size of the marker, and AR-Child response time to the detection of markers by the camera for the appearance of virtual objects. thirty preschool children aged 4-6 years were involved in using the AR-Child application and analyzing application testing on the attractiveness and fun elements of students withfun testing. the effect of using AR-Child is seen from the learning outcomes at the end of the second meeting.
Proceedings of the special issue on visualization and graphics on the World Wide Web are presented. the issue contains 18 articles on the following topics: physically-based modeling of coating techniques;sharing VLNET...
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Proceedings of the special issue on visualization and graphics on the World Wide Web are presented. the issue contains 18 articles on the following topics: physically-based modeling of coating techniques;sharing VLNET worlds on the Web;graphics support for a World Wide Web based architectural design service;A world Wide Web based distributed animation environment;virtual reality and Web tools;image processing techniques in computer graphics algorithms and others.
this Volume 2 of 2 of the conference proceedings contains 57 papers. Topics discussed include power system control, operation and management, stability enhancements, intelligent computations in power, power applicatio...
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this Volume 2 of 2 of the conference proceedings contains 57 papers. Topics discussed include power system control, operation and management, stability enhancements, intelligent computations in power, power applications and buildings, power dynamics, machines and traction, power developments in China and developing countries, substation automation and algorithms, modeling and algorithms, power services, power simulators and controllers and energy policy and generation.
the proceedings contain 30 papers. the topics discussed include: tuning evolutionary algorithms and tuning evolutionary algorithm controllers;metaheuristic optimization with applications: demonstration via bat algorit...
ISBN:
(纸本)9789612640439
the proceedings contain 30 papers. the topics discussed include: tuning evolutionary algorithms and tuning evolutionary algorithm controllers;metaheuristic optimization with applications: demonstration via bat algorithm;revolutionary algorithms;towards social networks model;shrinking three stage optimal memetic exploration;memetic firefly algorithm for combinatorial optimization;a diversity-guided distributed evolutionary algorithm;multi-agent collaborative search with Tchebycheff decomposition and monotonic basin hopping steps;benchmarking of the asymptotic genetic algorithm for the noiseless function testbed;parameter control of EAs using exploration and exploitation measures: preliminary results;exploring the parameter space of a search algorithm;a graph-based evolutionary algorithm: cell based genetic programming;and an investigation on the chaos driven differential evolution: an initial study.
the proceedings contain 31 papers. the topics discussed include: how does usability impact motivation in augmented reality serious games for education?;measuring climate change knowledge in a social media game with a ...
ISBN:
(纸本)9781479909650
the proceedings contain 31 papers. the topics discussed include: how does usability impact motivation in augmented reality serious games for education?;measuring climate change knowledge in a social media game with a purpose;serious game design: motivating students through a balance of fun and learning;serious games in formal medical education: an experimental study;MeTycoon: a game-based approach to career guidance;affective educational games: utilizing emotions in game-based learning;an initial study to assess the perceived realism of agent crowd behaviour in a virtual city;efficient mesoscopic simulations for persistent agents in 3D-applications and games;choosing the infrastructure for entertainment and serious computer games - a whiteroom benchmark for game engine selection;use of gaming sensors and customised exergames for Parkinson's disease rehabilitation;and smoke and shadows: rendering and light interaction of smoke in real-time rendered virtual environments.
the aim of this research is to design an intelligent system that addresses the problem of real-time localization and navigation of visually impaired (VI) in an indoor environment using a monocular camera. Systems that...
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ISBN:
(纸本)9781538657485
the aim of this research is to design an intelligent system that addresses the problem of real-time localization and navigation of visually impaired (VI) in an indoor environment using a monocular camera. Systems that have been developed so far for the VI use either many cameras (stereo and monocular) integrated with other sensors or use very complex algorithmsthat are computationally expensive. In this research work, a computationally less expensive integrated system has been proposed to combine imaging geometry, Visual Odometry (VO), Object Detection (OD) along with Distance-Depth (D-D) estimation algorithms for precise navigation and localization by utilizing a single monocular camera as the only sensor. the developed algorithm is tested for both standard Karlsruhe and indoor environment recorded datasets. Tests have been carried out in real-time using a smartphone camera that captures image data of the environment as the person moves and is sent over Wi-Fi for further processing to the MATLAB software model running on an Intel i7 processor. the algorithm provides accurate results on real-time navigation in the environment with an audio feedback about the person's location. the trajectory of the navigation is expressed in an arbitrary scale. Object detection based localization is accurate. the D-D estimation provides distance and depth measurements up to an accuracy of 94-98%.
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