9 research outputs found
MUSME 2011 4 th International Symposium on Multibody Systems and Mechatronics
El libro de actas recoge las aportaciones de los autores a travĂ©s de los correspondientes artĂculos a la Dinámica de Sistemas Multicuerpo y la MecatrĂłnica (Musme). Estas disciplinas se han convertido en una importante herramienta para diseñar máquinas, analizar prototipos virtuales y realizar análisis CAD sobre complejos sistemas mecánicos articulados multicuerpo. La dinámica de sistemas multicuerpo comprende un gran nĂşmero de aspectos que incluyen la mecánica, dinámica estructural, matemáticas aplicadas, mĂ©todos de control, ciencia de los ordenadores y mecatrĂłnica. Los artĂculos recogidos en el libro de actas están relacionados con alguno de los siguientes tĂłpicos del congreso:
Análisis y sĂntesis de mecanismos
; Diseño de algoritmos para sistemas mecatrónicos
; Procedimientos de simulaciĂłn y resultados
; Prototipos y rendimiento
; Robots y micromáquinas
; Validaciones experimentales
; TeorĂa de simulaciĂłn mecatrĂłnica
; Sistemas mecatrĂłnicos
; Control de sistemas mecatrónicosUniversitat Politècnica de València (2011). MUSME 2011 4 th International Symposium on Multibody Systems and Mechatronics. Editorial Universitat Politècnica de València. http://hdl.handle.net/10251/13224Archivo delegad
Artificial general intelligence: Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA, March 6-9, 2009
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI – to create broad human-like and transhuman intelligence, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. Due to the difficulty of this task, for the last few decades the majority of AI researchers have focused on what has been called narrow AI – the production of AI systems displaying intelligence regarding specific, highly constrained tasks. In
recent years, however, more and more researchers have recognized the necessity – and feasibility – of returning to the original goals of the field. Increasingly, there is a call for a transition back to confronting the more difficult issues of human level intelligence and more broadly artificial general intelligence
Interpreting parametric-biomimicry design from cad Ń‚o bim software: digital modelling based on a sketch of nandi flame
This research represents an application of two digital modelling softwares, first digital modelling software, chosen as representative of Computer-Aided Design – CAD modelling tool was Fusion 360. The representative of Building Information Modelling (BIM) as second digital modelling software was
ArchiCAD. The aim of the research was to translate the same parametric-biomimicry design methodology used in CAD process modelling into BIM environment. African species Spathodea campanulata P. Beauv, whose common name in Kenya is Nandi flame, has been selected for the
purpose of this digital modelling processes. As one of the most spectacular flowering plants, Nandi flame is indigenous to the tropical dry forests in Kenya. The decorative flower of this species was the basic model, more precisely the botanical sketches of the flower. This sketches were implemented into digital modelling softwares and used for parametric modelling. The results of this processes were represented as urban models or installations (landscape-architectural elements) in open space. This approach of digitally generating conceptual solutions from nature elements has capability to boost the
formulation of new creative inventions in the different fields. The unique geometric patterns found in the flower of Spathodea campanulata P. Beauv served as a good example of how we may transform these ideas into actual design installations– using CAD or BIM software tools. This research has been
carried out with the aim to find the position of BIM tools in parametric biomimicry design
Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm
Abstract— Online transportation has become a basic
requirement of the general public in support of all activities to go
to work, school or vacation to the sights. Public transportation
services compete to provide the best service so that consumers
feel comfortable using the services offered, so that all activities
are noticed, one of them is the search for the shortest route in
picking the buyer or delivering to the destination. Node
Combination method can minimize memory usage and this
methode is more optimal when compared to A* and Ant Colony
in the shortest route search like Dijkstra algorithm, but can’t
store the history node that has been passed. Therefore, using
node combination algorithm is very good in searching the
shortest distance is not the shortest route. This paper is
structured to modify the node combination algorithm to solve the
problem of finding the shortest route at the dynamic location
obtained from the transport fleet by displaying the nodes that
have the shortest distance and will be implemented in the
geographic information system in the form of map to facilitate
the use of the system.
Keywords— Shortest Path, Algorithm Dijkstra, Node
Combination, Dynamic Location (key words
Neural plasticity and the limits of scientific knowledge
Western science claims to provide unique, objective information about the world. This
is supported by the observation that peoples across cultures will agree upon a common
description of the physical world. Further, the use of scientific instruments and
mathematics is claimed to enable the objectification of science.
In this work, carried out by reviewing the scientific literature, the above claims are
disputed systematically by evaluating the definition of physical reality and the scientific
method, showing that empiricism relies ultimately upon the human senses for the
evaluation of scientific theories and that measuring instruments cannot replace the
human sensory system.
Nativist and constructivist theories of human sensory development are reviewed, and it
is shown that nativist claims of core conceptual knowledge cannot be supported by the
findings in the literature, which shows that perception does not simply arise from a
process of maturation. Instead, sensory function requires a long process of learning
through interactions with the environment.
To more rigorously define physical reality and systematically evaluate the stability of
perception, and thus the basis of empiricism, the development of the method of
dimension analysis is reviewed. It is shown that this methodology, relied upon for the
mathematical analysis of physical quantities, is itself based upon empiricism, and that
all of physical reality can be described in terms of the three fundamental dimensions of
mass, length and time.
Hereafter the sensory modalities that inform us about these three dimensions are
systematically evaluated. The following careful analysis of neuronal plasticity in these
modalities shows that all the relevant senses acquire from the environment the capacity
to apprehend physical reality. It is concluded that physical reality is acquired rather than
given innately, and leads to the position that science cannot provide unique results.
Rather, those it can provide are sufficient for a particular environmental setting