Search results for "Artificial intelligence"
showing 10 items of 6122 documents
Detection of steering direction using EEG recordings based on sample entropy and time-frequency analysis.
2016
Monitoring driver's intentions beforehand is an ambitious aim, which will bring a huge impact on the society by preventing traffic accidents. Hence, in this preliminary study we recorded high resolution electroencephalography (EEG) from 5 subjects while driving a car under real conditions along with an accelerometer which detects the onset of steering. Two sensor-level analyses, sample entropy and time-frequency analysis, have been implemented to observe the dynamics before the onset of steering. Thus, in order to classify the steering direction we applied a machine learning algorithm consisting of: dimensionality reduction and classification using principal-component-analysis (PCA) and sup…
Prey-predator strategies in a multiagent system
2006
This paper describes the prey-predator multiagent system which can be considered as an abstraction of more complex real-world models. Both the prey and the predators are considered as autonomous agents with their own behaviors and perception of the environment. In particular, we propose a simulator which lets study different strategies such as cooperation and individualism. An extensive experiment has been carried out in order to prove the effectiveness of the latter.
Properties and roles of BKCa channels in cultured cerebellar granule neuron: Experimental and simulation studies
2006
We studied the properties and roles of large-conductance calcium-sensitive potassium channels (BK"C"a) in cultured rat cerebellar granule neurons. In intact cells these channels had chord conductances of 130-200pS. The conductance, threshold for channel activation and the mean open time and open probability depend on the age of cells. In computer simulations the elimination of BK"C"a channel decreases the maximum and minimum peak values of an action potential, causes reduced hyperpolarization and increases firing frequency. The observed alterations may be linked to the complexity of granule neuron excitability during maturation and provide new insight into modeling the developmental changes…
Is our brain hardwired to produce God, or is our brain hardwired to perceive God? A systematic review on the role of the brain in mediating religious…
2009
To figure out whether the main empirical question "Is our brain hardwired to believe in and produce God, or is our brain hardwired to perceive and experience God?" is answered, this paper presents systematic critical review of the positions, arguments and controversies of each side of the neuroscientific–theological debate and puts forward an integral view where the human is seen as a psycho-somatic entity consisting of the multiple levels and dimensions of human existence (physical, biological, psychological, and spiritual reality), allowing consciousness/ mind/spirit and brain/body/matter to be seen as different sides of the same phenomenon, neither reducible to each other. The emergence …
Probabilities of conditionals and previsions of iterated conditionals
2019
Abstract We analyze selected iterated conditionals in the framework of conditional random quantities. We point out that it is instructive to examine Lewis's triviality result, which shows the conditions a conditional must satisfy for its probability to be the conditional probability. In our approach, however, we avoid triviality because the import-export principle is invalid. We then analyze an example of reasoning under partial knowledge where, given a conditional if A then C as information, the probability of A should intuitively increase. We explain this intuition by making some implicit background information explicit. We consider several (generalized) iterated conditionals, which allow…
Background subtraction for aerial surveillance conditions
2014
International audience; The first step in a surveillance system is to create a representation of the environment. Background subtraction is widely used algorithm to define a part of an image that most time remains stationary in a video. In surveillance tasks, this model helps to recognize those outlier objects in an area under monitoring. Set up a background model on moving platforms (intelligent cars, UAVs, etc.) is a challenging task due camera motion when images are acquired. In this paper, we propose a method to support instabilities caused by aerial images fusing spatial and temporal information about image motion. We used frame difference as first approximation, then age of pixels is …
The Bayesian Learning Automaton — Empirical Evaluation with Two-Armed Bernoulli Bandit Problems
2009
The two-armed Bernoulli bandit (TABB) problem is a classical optimization problem where an agent sequentially pulls one of two arms attached to a gambling machine, with each pull resulting either in a reward or a penalty. The reward probabilities of each arm are unknown, and thus one must balance between exploiting existing knowledge about the arms, and obtaining new information.
La constitucionalización de la estabilidad presupuestaria en Estados Unidos: lecciones de un debate inacabado
2017
El presente artículo tiene por objeto el estudio de la problemática jurídica que ha suscitado a lo largo de la reciente historia de los Estados Unidos la posible constitucionalización de la estabilidad presupuestaria, analizando las repercusiones de ésta a través de las experiencias estatales y del complejo marco institucional de la democracia norteamericana a nivel federal. Con ello, se perfilarán las cuestiones que más dudas suscitan en torno a la balanced budget desde el prisma constitucional y que pueden repetirse en cualquier proceso de similares características.Recibido: 28 agosto 2017Aceptado: 28 noviembre 2017Publicación en línea: 27 diciembre 2017
Digital image analysis technique for measuring railway track defects and ballast gradation
2018
Abstract In order to guarantee safety and driving comfort and to maintain an efficient railway infrastructure, the first step is to carefully monitor the track geometry and wear level of the materials constituting the superstructure. To that end diagnostic trains are widely used on main lines, in that they can detect several geometric track parameters and rail wear, but under no circumstances they can yet detect ballast gradation. Due to the practical implications for the planning of maintenance operations on the railway network, this article presents a “DIP” digital image processing technique for measuring the transverse profile and corrugations of the rails as well as ballast gradation. T…
Assessing B.A.Bar Device as a Tool for Supporting Labour Integration of a Severely Affected Person with Autism Who Carries Out Classifying Tasks
2004
This paper describes the case research carried out to demonstrate the utility of a specific technical aid (adapted bar code reader) to train an adult with severe autism in the performance of a work task of classifying products in a shop. The individual with autism who participated in this research has a combination of difficulties (degree of 76 percent of disability and unable to learn to read and write) and abilities (being able to follow single verbal instructions). Positive results are expounded together with considerations about the desirable features of future products that would overcome the mere training process and also be useful for the final and real task in any working environmen…