Manipulació geomètrica dels blocs d'AutoCAD

Aquest text és un recull de procediments per inserir els blocs d'AutoCAD de forma més eficient, en la resolució de problemes prèviament tipificats: la PRIMERA PART descriu protocols d'actuació que l'usuari haurà d'aplicar manualment, mentre que la SEGONA PART ofereix rutines programades en AutoLISP i VisualLISP que l'eximiran d'aquesta obligació.Si ho deixéssim aquí, però, podria semblar que els mateixos mètodes manuals presentats en primer lloc són després els que AutoLISP automatitza; per això convé aclarir que la problemàtica de la PRIMERA PART, tot i que pròxima a la de la SEGONA, és diferent i reprodueix el contingut d'una monografia (BLOCS I GEOMETRIA: 5 EXERCICIS COMENTATS) que forma part del material de suport a l'assignatura ELEMENTS DE CAD, impartida per l'autor en l'ETS d'Enginyeria de Telecomunicació de Barcelona i que té per objecte cobrir el buit bibliogràfic que es detectava en el vessant geomètric de la inserció de blocs, a diferència del que s'ocupa de l'estructura de dades més adient en cada context (incrustació de dibuixos amb INSERT versus vinculació mitjançant REFX), més profusament tractat, proposant una sistematització tipològica dels casos on l'escala és funció lineal d'una distància.La SEGONA PART va més enllà i amplia el repertori d'AutoCAD amb les ordres GINSERT, RATREDIT, INSERTOK, INS2D, INS3D, BLOQUEOK, DESCOMPOK, DEF-TRANSF, APL-TRANSF-V i APL-TRANSF-N, de les quals INS2D i INS3D (INSERTOK és una versió simplificada de INS2D, per a blocs sense atributs) són l'aportació més innovadora i que més lluny porta les potencialitats de la inserció de blocs: resumint-ho en una frase, es tracta d’aconseguir que la inserció d’un bloc (que pot ser l’original, un bloc constituït per una inserció de l’original o un de constituït per la inserció del precedent) s’encabeixi en un marc prèviament establert, a semblança de les ordres ESCALA o GIRA, que mitjançant l'opció Referencia apliquen als objectes seleccionats la transformació d'escalat o de rotació necessària per tal que un element de referència assoleixi una determinada grandària o posició. Tot i que, per identificar amb encert el nucli del problema, serà inevitable introduir una reflexió: quan s’ha tingut la precaució de referir un bloc 2D a un quadrat unitari ortogonal, inserir-lo de manera que s’adapti a qualsevol marc rectangular establert en el dibuix és immediat, però ja no ho és tant concatenar insercions de manera que, a més d’una combinació simple de escalat, gir i translació, l’operació dugui implícita una transformació de cisallament. Perquè és clar que si inserim el bloc girat i convertim la inserció en un bloc que al seu torn tornem a inserir, ara però amb escalat no uniforme, el transformat del quadrat de referència primitiu serà un paral·lelogram, però el problema és: dibuixat un marc romboïdal concret, ¿quin gir caldrà donar a la primera inserció, i quin gir i factors d’escala caldrà aplicar a la segona perquè el quadrat de referència s’adapti al marc? El problema es complica si, a més, volem aprofitar el resultat de la primera inserció per a d’altres paral·lelograms, organitzant un sistema no redundant de insercions intermèdies. Doncs bé: INS2D i INS3D donen satisfacció a aquestes qüestions (la segona ja no contempla l'encaix en un paral·lelogram, sinó en un paral·lelepípede) i són aplicables a blocs proveïts d’atributs, no només de tipus convencional (els continguts en el pla de base del bloc, únics de funcionament garantit amb l’ordre INSERT), sinó també dels situats i orientats lliurement.

Reinforcement learning utilizes proxemics: an avatar learns to manipulate the position of people in immersive virtual reality

A reinforcement learning (RL) method was used to train a virtual character to move participants to a specified location. The virtual environment depicted an alleyway displayed through a wide field-of-view head-tracked stereo head-mounted display. Based on proxemics theory, we predicted that when the character approached within a personal or intimate distance to the participants, they would be inclined to move backwards out of the way. We carried out a between-groups experiment with 30 female participants, with 10 assigned arbitrarily to each of the following three groups: In the Intimate condition the character could approach within 0.38m and in the Social condition no nearer than 1.2m. In the Random condition the actions of the virtual character were chosen randomly from among the same set as in the RL method, and the virtual character could approach within 0.38m. The experiment continued in each case until the participant either reached the target or 7 minutes had elapsed. The distributions of the times taken to reach the target showed significant differences between the three groups, with 9 out of 10 in the Intimate condition reaching the target significantly faster than the 6 out of 10 who reached the target in the Social condition. Only 1 out of 10 in the Random condition reached the target. The experiment is an example of applied presence theory: we rely on the many findings that people tend to respond realistically in immersive virtual environments, and use this to get people to achieve a task of which they had been unaware. This method opens up the door for many such applications where the virtual environment adapts to the responses of the human participants with the aim of achieving particular goals.

Correlations between vocal input and visual response apparently enhance presence in a virtual environment

This work investigates novel alternative means of interaction in a virtual environment (VE).We analyze whether humans can remap established body functions to learn to interact with digital information in an environment that is cross-sensory by nature and uses vocal utterances in order to influence (abstract) virtual objects. We thus establish a correlation among learning, control of the interface, and the perceived sense of presence in the VE. The application enables intuitive interaction by mapping actions (the prosodic aspects of the human voice) to a certain response (i.e., visualization). A series of single-user and multiuser studies shows that users can gain control of the intuitive interface and learn to adapt to new and previously unseen tasks in VEs. Despite the abstract nature of the presented environment, presence scores were generally very high.

Drift and ownership toward a distant virtual body.

In body ownership illusions participants feel that a mannequin or virtual body (VB) is their own. Earlier results suggest that body ownership over a body seen from behind in extra personal space is possible when the surrogate body is visually stroked and tapped on its back, while spatially and temporal synchronous tactile stimulation is applied to the participant's back. This result has been disputed with the claim that the results can be explained by self-recognition rather than somatic body ownership. We carried out an experiment with 30 participants in a between-groups design. They all saw the back of a VB 1.2 m in front, that moved in real-time determined by upper body motion capture. All felt tactile stimulation on their back, and for 15 of them this was spatially and temporally synchronous with stimulation that they saw on the back of the VB, but asynchronous for the other 15. After 3 min a revolving fan above the VB descended and stopped at the position of the VB neck. A questionnaire assessed referral of touch to the VB, body ownership, the illusion of drifting forwards toward the VB, and the VB drifting backwards. Heart rate deceleration (HRD) and the amount of head movement during the threat period were used to assess the response to the threat from the fan. Results showed that although referral of touch was significantly greater in the synchronous condition than the asynchronous, there were no other differences between the conditions. However, a further multivariate analysis revealed that in the visuotactile synchronous condition HRD and head movement increased with the illusion of forward drift and decreased with backwards drift. Body ownership contributed positively to these drift sensations. Our conclusion is that the setup results in a contradiction-somatic feelings associated with a distant body-that the brain attempts to resolve by generating drift illusions that would make the two bodies coincide.

Touching the void: exploring virtual objects through a vibrotactile glove

This paper describes a simple low-cost approach toadding an element of haptic interaction within a virtualenvironment. Using off-the-shelf hardware and software wedescribe a simple setup that can be used to explore physically virtual objects in space. This setup comprises of a prototype glove with a number of vibrating actuators to provide the haptic feedback, a Kinect camera for the tracking of the user's hand and a virtual reality development environment. As proof of concept and to test the efficiency of the system as well as its potential applications, we developed a simple application where we created 4 different shapes within a virtual environment in order to try toexplore them and guess their shape through touch alone.

Classificació i reconeixement de vídeo

El principal objectiu d’aquest projecte és aconseguir classificar diferents vídeos d’esports segons la seva categoria. Els cercadors de text creen un vocabulari segons el significat de les diferents paraules per tal de poder identificar un document. En aquest projecte es va fer el mateix però mitjançant paraules visuals. Per exemple, es van intentar englobar com a una única paraula les diferents rodes que apareixien en els cotxes de rally. A partir de la freqüència amb què apareixien les paraules dels diferents grups dins d’una imatge vàrem crear histogrames de vocabulari que ens permetien tenir una descripció de la imatge. Per classificar un vídeo es van utilitzar els histogrames que descrivien els seus fotogrames. Com que cada histograma es podia considerar un vector de valors enters vàrem optar per utilitzar una màquina classificadora de vectors: una Support vector machine o SVM

Scene representation for object monitoring

In robotics, having a 3D representation of the environment where a robot is working can be very useful. In real-life scenarios, this environment is constantly changing for example by human interaction, external agents or by the robot itself. Thus, the representation needs to be constantly updated and extended to account for these dynamic scene changes. In this work we face the problem of representing the scene where a robot is acting. Moreover, we ought to improve this representation by reusing the information obtained in previous scenes. Our goal is to build a method to represent a scene and to update it while changes are produced. In order to achieve that, different aspects of computer vision such as space representation or feature tracking are discussed

Measuring the effects through time of the influence of visuomotor and visuotactile synchronous stimulation on a virtual body ownership illusion

Previous studies have examined the experience of owning a virtual surrogate body or body part through specific combinations of cross-modal multisensory stimulation. Both visuomotor (VM) and visuotactile (VT) synchronous stimulation have been shown to be important for inducing a body ownership illusion, each tested separately or both in combination. In this study we compared the relative importance of these two cross-modal correlations, when both are provided in the same immersive virtual reality setup and the same experiment. We systematically manipulated VT and VM contingencies in order to assess their relative role and mutual interaction. Moreover, we present a new method for measuring the induced body ownership illusion through time, by recording reports of breaks in the illusion of ownership ("breaks") throughout the experimental phase. The balance of the evidence, from both questionnaires and analysis of the breaks, suggests that while VM synchronous stimulation contributes the greatest to the attainment of the illusion, a disruption of either (through asynchronous stimulation) contributes equally to the probability of a break in the illusion.

Computational Approach to the Study of Thermal Spin Crossover Phenomena

The key parameters associated to the thermally induced spin crossover process have been calculated for a series of Fe(II) complexes with mono-, bi-, and tridentate ligands. Combination of density functional theory calculations for the geometries and for normal vibrational modes, and highly correlated wave function methods for the energies, allows us to accurately compute the entropy variation associated to the spin transition and the zero-point corrected energy difference between the low- and high-spin states. From these values, the transition temperature, T 1/2, is estimated for different compounds.

Juego 2D para Android

El proyecto consistirá en diseñar desde cero un juego para smartphones que utilicen el sistema operativo Android. El objetivo del juego será sobrevivir a las oleadas de enemigos, que aparecerán en el extremo derecho de la pantalla y se dirigirán al lado opuesto, durante el tiempo suficiente para superar el nivel actual. Al mismo tiempo tendremos que tratar de esquivar los obstáculos y recoger los objetos que nos proporcionarán un bonus de puntos. En el juego habrá un número finito de niveles, cada uno más difícil que el anterior.

Transfer entropy reconstruction and labeling of neuronal connections from simulated calcium imaging

Neuronal dynamics are fundamentally constrained by the underlying structural network architecture, yet much of the details of this synaptic connectivity are still unknown even in neuronal cultures in vitro. Here we extend a previous approach based on information theory, the Generalized Transfer Entropy, to the reconstruction of connectivity of simulated neuronal networks of both excitatory and inhibitory neurons. We show that, due to the model-free nature of the developed measure, both kinds of connections can be reliably inferred if the average firing rate between synchronous burst events exceeds a small minimum frequency. Furthermore, we suggest, based on systematic simulations, that even lower spontaneous inter-burst rates could be raised to meet the requirements of our reconstruction algorithm by applying a weak spatially homogeneous stimulation to the entire network. By combining multiple recordings of the same in silico network before and after pharmacologically blocking inhibitory synaptic transmission, we show then how it becomes possible to infer with high confidence the excitatory or inhibitory nature of each individual neuron.

Interoperability of learning objects copyright in the LUISA semantic learning management system

Semantic Web technology is able to provide the required computational semantics for interoperability of learning resources across different Learning Management Systems (LMS) and Learning Object Repositories (LOR). The EU research project LUISA (Learning Content Management System Using Innovative Semantic Web Services Architecture) addresses the development of a reference semantic architecture for the major challenges in the search, interchange and delivery of learning objects in a service-oriented context. One of the key issues, highlighted in this paper, is Digital Rights Management (DRM) interoperability. A Semantic Web approach to copyright management has been followed, which places a Copyright Ontology as the key component for interoperability among existing DRM systems and other licensing schemes like Creative Commons. Moreover, Semantic Web tools like reasoners, rule engines and semantic queries facilitate the implementation of an interoperable copyright management component in the LUISA architecture.

Semantics-supported cooperative learning for enhanced awareness

Awareness is required for supporting all forms of cooperation. In Computer Supported Collaborative Learning (CSCL), awareness can be used for enhancing collaborative opportunities across physical distances and in computer-mediated environments. Shared Knowledge Awareness (SKA) intends to increase the perception about the shared knowledge, students have in a collaborative learning scenario and also concerns the understanding that this group has about it. However, it is very difficult to produce accurate awareness indicators based on informal message exchange among the participants. Therefore, we propose a semantic system for cooperation that makes use of formal methods for knowledge representation based on semantic web technologies. From these semantics-enhanced repository and messages, it could be easier to compute more accurate awareness.

Web 2.0 en la docencia universitaria: aprendizaje colaborativo a través de la tecnología

El concepto web 2.0 se utiliza para denominar a un conjunto de aplicaciones que están siempre en evolución de acuerdo a los requerimientos que los usuarios van realizando. En la red podemos encontrar muchas herramientas desarrolladas en la línea de la web 2.0: blogs, wikis, herramientas para compartir marcadores, para compartir archivos, etc. Consideramos que el sistema educativo no puede estar al margen de esta evolución tecnológica y necesita adaptarse a todos los niveles. Las universidades también se encuentran en la necesidad de adecuarse a estos nuevos tiempos, y cada vez encontramos más experiencias formativas de trabajo colaborativo en red para favorecer el aprendizaje de los estudiantes. El trabajo que presentamos es un análisis de herramientas web 2.0 y de una recopilación de buenas prácticas docentes universitarias de desarrollo de metodologías colaborativas utilizando las TIC. Además, ofrecemos recomendaciones del uso de estas herramientas en los procesos de enseñanza y aprendizaje universitario.