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Complementary catadioptric imaging technique was proposed to solve the problem of low and non-uniform resolution in omnidirectional imaging. To enhance this research, our paper focuses on how to generate a high-resolution panoramic image from the captured omnidirectional image. To avoid the interference between the inner and outer images while fusing the two complementary views, a cross-selection...
The way to autonomous robotic systems leads to deal with acting and interacting with real-life scenarios. Focusing on human-robot interaction, one of the first issues to be solved concerns safety since systems are becoming larger and more sophisticated and the damage caused can be considerable. So, robotic systems must exhibit levels of adaptability high enough to achieve their goals by guaranteeing...
We have been proposing the Intelligent Lighting System that can provide specific sections of the office space with lightings of varying illuminance. Using the influence of lightings on illuminance sensors, the system can satisfy the required lighting conditions within a few minutes. However, in some cases a spot must be lit up more quickly. In this research, we propose an improvement to the Intelligent...
Intelligent lighting systems have been able to realize a minimum electrical power consumption for a given arbitrary illumination in an arbitrary location. By randomly increasing and decreasing the brightness of each lamp, the lighting intensity is controlled and the required parameters for this control are then learned. For this reason, lamps need to be lit above a certain brightness level, and when...
This research develops a new graph-map method for autonomous car-like mobile robots based on variable-resolution division of space. Unlike conventional roadmaps, which include position information only, the proposed graph-map also includes orientation information of the car-like robot. In this manner, the robot is able to plan a path in detail. The orientation information of each node is not a fixed...
A key requirement for any mobile robot is achieving safe motions. This is especially difficult in a large dynamic environment where hostile objects must be avoided with incomplete information. This paper presents a novel hierarchical architecture that Team MAGICian developed, which integrates multi-vehicle tactical planning, path planning, collision avoidance, trajectory generation and dynamic vehicle...
It has been proved that there is a bias-variance-covariance trade-off among the trained neural network ensembles. In this paper, extra learning on random data points was proposed to control the variations of the correlations in the negative correlation learning (NCL). Without the control of the correlations, NCL might have arbitrary values on the unknown data points after learning too much on the...
It is difficult for the deafblind or the hearing impaired to control the pitch of their voice because they cannot perceive it. In particular, when singing, it is very difficult for them to control their voice pitch because they need to maintain a stable tone. We have developed a voice pitch control system to assist such people in their singing by means of a tactile display. Using this tactile feedback...
Emotion recognition systems could support professionals in a wide range of areas. Several work in emotion recognition has been carried out in the last decades, yet few attention has been payed to cross-culture context emotion recognition. Multimodal emotional expressions from 36 subjects with different cultural backgrounds were collected. In the experiment, participants observed and assessed emotional...
The goal of this research is to design a multimedia analyzer (MA) that can be embedded in portable devices. This MA can recognize different multimedia (e.g. text and image) patterns and help the user to analyze the multimedia contents more efficiently. To realize the MA in an environment with limited computing resource, we propose a new concept called decision boundary learning (DBL). The basic idea...
Training of optometrists is traditionally achieved under close supervision of peers and superiors. With the rapid advancement in technology, medical procedures are performed more efficiently and effectively, resulting in faster recovery times and less trauma to the patient. However, application of this technology has made it difficult to effectively demonstrate and teach these manual skills as the...
In this study, we propose a novel eye input device using only eye movement without the calibration for correcting the gaze direction. The traditional eye input device using eye positional information requires head movement. However, the severely disabled people who are unable to move their head, e.g. amyotrophic lateral sclerosis, are difficult to use this device. Although an eye-gaze input device...
In this paper, we explore the application of Reinforcement Learning (RL) to the derivation of control laws for the flight control of an unmanned aerial vehicle (UAV). The controllers are derived off-line with a simulation and the solutions are ported to an actual aircraft. Experimental results showed that the controllers stabilize the quad-rotor during the path tracking as has been learned in the...
Classical ontology is not sufficient to deal with vague or imprecise knowledge for real world applications such as malware behavioral analysis. In addition, malware has grown into a pressing problem for governments and commercial organizations. Anti-malware applications represent one of the most important research topics in the area of information security threat. As a countermeasure, enhanced systems...
The duopoly model of vendors in a linear open city is developed in order to analyze the equilibrium location of vendors in Stackelberg competition. It is shown that the equilibrium vendors' location is either clustered or dispersed? in the city depending on the relative sizes of shopping cost and commuting cost. It is furthermore shown that the equilibrium vendor location is socially inefficient....
Two approaches are introduced to model and analyze third party intervention, an important element in conflict resolution. These approaches are based on the GMCR framework. Although many studies discuss conflict resolution and conflict modeling, little work has been done on modeling third party interventions. The inverse approach to GMCR is introduced and investigated to find an optimal way to resolve...
Vitae System based agent modeling has been proposed to simulate an evacuation and rescuing process under survivability-critical states. It has been shown that the Vitae System model can express individual abilities to keep one's own life under survivability-critical states as characterized by three functions: survivability, vitality, and conviviality. Given an underground inundation case as an illustration,...
Bipedal walking robots are inherently hybrid systems due to their intermittent, switching dynamics resulting from the impact between the robot foot and the ground as the robot foot lands on the ground. It is well known that stable (passive) limit cycles for the biped robots can be induced on shallow slopes without actuation. Recently the studies in passive dynamic walking have considered the robots...
Emergent behavior in distributed systems is a central problem that may lead to unexpected behaviors and major faults. Emergent behaviors are usually categorized into three groups: emergent behaviors occur due to scenarios incompleteness; emergent behaviors as a result of violation of a system wide policy; and emergent behaviors as a result of synthesis of behavior models. In this paper, a technique...
In this paper, we investigate the possibility of using limited feature points (shape landmarks) from 3-D human body shapes to recognize the gender of human beings. Several machine learning algorithms and feature extraction algorithms (principal component analysis and linear discriminant analysis) are investigated and analyzed in this paper. Experimental results on a large dataset containing 2484 3-D...
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