Towards Machine Consciousness: Grounding Abstract Models as pi-Processes

We present a two-level model of concurrent communicating systems (CCS) to serve as a basis formachine consciousness. A language implementing threads within logic programming is ¯rstintroduced. This high-level framework allows for the de¯nition of abstract processes that can beexecuted on a virtual machine. We then look for a possible grounding of these processes into thebrain. Towards this end, we map abstract de¯nitions (including logical expressions representingcompiled knowledge) into a variant of the pi-calculus. We illustrate this approach through aseries of examples extending from a purely reactive behavior to patterns of consciousness.

On Modelling, System Identification and Control of Servo-Systems with a Flexible Load

The present study was done with two different servo-systems. In the first system, a servo-hydraulic system was identified and then controlled by a fuzzy gainscheduling controller. The second servo-system, an electro-magnetic linear motor in suppressing the mechanical vibration and position tracking of a reference model are studied by using a neural network and an adaptive backstepping controller respectively. Followings are some descriptions of research methods. Electro Hydraulic Servo Systems (EHSS) are commonly used in industry. These kinds of systems are nonlinearin nature and their dynamic equations have several unknown parameters.System identification is a prerequisite to analysis of a dynamic system. One of the most promising novel evolutionary algorithms is the Differential Evolution (DE) for solving global optimization problems. In the study, the DE algorithm is proposed for handling nonlinear constraint functionswith boundary limits of variables to find the best parameters of a servo-hydraulic system with flexible load. The DE guarantees fast speed convergence and accurate solutions regardless the initial conditions of parameters. The control of hydraulic servo-systems has been the focus ofintense research over the past decades. These kinds of systems are nonlinear in nature and generally difficult to control. Since changing system parameters using the same gains will cause overshoot or even loss of system stability. The highly non-linear behaviour of these devices makes them ideal subjects for applying different types of sophisticated controllers. The study is concerned with a second order model reference to positioning control of a flexible load servo-hydraulic system using fuzzy gainscheduling. In the present research, to compensate the lack of dampingin a hydraulic system, an acceleration feedback was used. To compare the results, a pcontroller with feed-forward acceleration and different gains in extension and retraction is used. The design procedure for the controller and experimental results are discussed. The results suggest that using the fuzzy gain-scheduling controller decrease the error of position reference tracking. The second part of research was done on a PermanentMagnet Linear Synchronous Motor (PMLSM). In this study, a recurrent neural network compensator for suppressing mechanical vibration in PMLSM with a flexible load is studied. The linear motor is controlled by a conventional PI velocity controller, and the vibration of the flexible mechanism is suppressed by using a hybrid recurrent neural network. The differential evolution strategy and Kalman filter method are used to avoid the local minimum problem, and estimate the states of system respectively. The proposed control method is firstly designed by using non-linear simulation model built in Matlab Simulink and then implemented in practical test rig. The proposed method works satisfactorily and suppresses the vibration successfully. In the last part of research, a nonlinear load control method is developed and implemented for a PMLSM with a flexible load. The purpose of the controller is to track a flexible load to the desired position reference as fast as possible and without awkward oscillation. The control method is based on an adaptive backstepping algorithm whose stability is ensured by the Lyapunov stability theorem. The states of the system needed in the controller are estimated by using the Kalman filter. The proposed controller is implemented and tested in a linear motor test drive and responses are presented.

Rellevància dels factors ecològics com a determinants de l'ús de l'aigua en pi roig (Pinus Sylvestris) de l'àmbit pirinenc

El pi roig (Pinus sylvestris L.) és un arbre perenne que no és exigent pel que fa al tipus de sòls, tot i que prefereix sòls profunds i frescals; el sistema radical d’aquesta espècie varia en funció del sòl on es desenvolupa. En aquest treball s'estudia com els factors dasomètrics a nivell d’arbre han influït en la variació de la composició isotòpica ($13C i $18O), produint diferències en la disponibilitat i l’ús dels recursos hídrics. Concretament, s’ha detectat que els arbres de més edat presenten un millor estat hídric que els més joves, a causa que aquests han de regular més les pèrdues d’aigua. També es comprova que les variables edàfiques, principalment la profunditat d’arrelament i amb menys mesura els carbonats, son els factors que poden condicionar més el desenvolupament dels arbres en termes d’ús de recursos hídrics, produint diferències en l’eficiència en l’ús de l’aigua entre estacions de pi roig del Pirineu i Prepirineu.

Relació entre els factors ecològics i la producció forestal en pi roig (Pinus sylvestris) de l’àmbit Pirinenc

Estudi de la relació de factors extrínsecs o variables ecològiques per estimar la qualitat d’estació de Pinus sylvestris, de l’àmbit Pirinenc. Ja que fins ara només s’han utilitzat mètodes intrínsecs (corbes de qualitat edat-alçada dominant) que presenten una sèrie de limitacions. Es preten d’aquesta forma posar de manifests possibles efectes derivats de variables climàtiques i fisiogràfiques, a partir de les parcel•les de l’IFN3. Per altre banda a partir de parcel•les mesurades a camp, s’estudia l’efecte d’una sèrie de variables climàtiques, edàfiques i fisiogràfiques en el site índex. Per últim, com un objectiu secundari s’estudia la relació entre l’índex d’estació i les característiques dasomètriques i la relació entre la posició fisiogràfic i profunditat efectiva de sòl.

Predictions of the MCMI-III personality disorders from NEO-PI-R domains and facets: Comparison between American and Spanish samples

Este estudio ex post facto analiza las relaciones entre las dimensiones y facetas del NEO-PI-R y los 14 trastornos de personalidad del MCMI-III en una muestra no clínica española (N = 674). Se exploran las diferencias y similitudes con los resul- tados de Dyce y O’Connor en una muestra americana con los mismos instrumentos. Como se esperaba, los análisis factoriales de facetas reteniendo cinco factores mostraron un modelo de relaciones muy similar entre ambas muestras, con un coeficiente de la congruencia total de 0,92, y coeficientes de congruencia de factor aceptables, salvo para el factor Apertura (0,68). En consonancia con las predicciones de Widiger y Widiger et al. los porcentajes de correlaciones significativas estaban alrededor de 60% en ambas muestras, y la mayoría coincidían. El análisis de regresión múltiple con dimensiones también reveló un gran parecido entre los resultados americanos y españoles, Neuroticismo fue el predictor más relacionado con los trastornos de personalidad. Se encontraron diferencias en las regresiones por facetas, aunque la varianza explicada fue prácticamente la misma que en las dimensiones. Se discute la validez transcultural y el valor predictivo del NEO-PI-R sobre los trastornos de personalidad del MCMI-III, junto con las ventajas relativas de las facetas sobre las dimensiones.

Validez convergente y estructural del NEO-PI-R : baremos orientativos

El estudio que se presenta se diseñó para estudiar la validez convergen-te y de estructura del NEO-PI-R en una muestra amplia de universitarios y de la población general. Los resultados muestran una robusta estructura de cinco factores y buena validez convergente con los adjetivos bipolares de Goldberg. Se realiza un análisis comparativo de los resultados obtenidos en este estudio con los del estudio original americano y en el estudio normativo realizado en España. Se concluye que las medias de las cinco dimensiones son parecidas al comparar las muestras del estudio actual con el americano, pero muy diferentes respecto al estudio normativo español. Ello es probablemente debido a la naturaleza de las muestras empleadas en el estudio normativo español provenientes de selección de personal, inadecuadas para un estudio normativo. La procedencia de las muestras no afecta la estructura ni la fiabilidad del NEO-PI-R, pero si afecta los baremos obtenidos. A efectos de la interpretación del test en población sana española se proporcionan baremos en percentiles y notas T.

Adaptación para adolescentes de la versión española del NEO PI-R (JS NEO)

Este artículo presenta los primeros datos del desarrollo de la versión española para adolescentes, entre 12 y 17 años, del NEO PI-R (JS NEO). Noventa y dos de los 240 ítems fueron modificados con el fin de adaptar el vocabulario de los mismos a este grupo de edad. Las propiedades psicométricas del JS NEO han sido investigadas en una muestra de 2.505 adolescentes. Los resultados muestran cómo la estructura factorial encontrada con el NEO PI-R para adultos se replica en la versión junior. Las fiabilidades de consistencia interna y estabilidad temporal de las escalas fueron adecuadas en la mayor parte de los casos. Además, la correlación entre las escalas de las versiones para adultos (NEO PI-R) y adolescentes (JS NEO) muestran que la versión para adolescentes presenta una validez de constructo adecuada.

Adubação orgânica e intensidade luminosa no crescimento e desenvolvimento inicial da Pitaya em Bom Jesus-PI

A pitaya é uma cactácea de sub-bosque, originária de florestas tropicais do México e das Américas Central e do Sul, pouco estudada no Brasil, principalmente quanto à sua resposta à intensidade luminosa e adubação. Nesse sentido, realizou-se um experimento objetivando avaliar crescimento e desenvolvimento inicial da pitaya em função da intensidade luminosa e adubação orgânica. O delineamento experimental adotado foi em blocos casualizados, com tratamentos distribuídos em esquema fatorial 5 x 3, referentes, respectivamente, aos níveis de adubação orgânica (0; 5; 10; 20 e 30 L de esterco bovino cova-1) e aos percentuais de luz (0; 50 e 75% de sombreamento), com quatro repetições. Foram avaliados semanalmente diâmetro do cladódio (mm), altura de estacas (cm) e comprimento do ramo secundário (cm); ao final do experimento, massa fresca da parte aérea e massas secas de raiz e parte aérea (g), sendo que para as variáveis mensuradas, semanalmente, foram calculados os respectivos incrementos percentuais semanais. Segundo os resultados do presente trabalho, no cultivo da pitaya, é necessário o uso de cobertura contra a incidência direta dos raios solares, onde as estruturas com 50% ou 75% de luminosidade podem ser usadas. O fornecimento de 20 L cova-1 de esterco bovino pode ser adotado como quantitativo no preparo de covas de pitaya, nas condições de clima e solo de Bom Jesus-PI.

Real-time Quality of Service Controller for Differentiated Services

IP-verkkojen hyvin tunnettu haitta on, että nämä eivät pysty takaamaan tiettyä palvelunlaatua (Quality of Service) lähetetyille paketeille. Seuraavat kaksi tekniikkaa pidetään lupaavimpina palvelunlaadun tarjoamiselle: Differentiated Services (DiffServ) ja palvelunlaatureititys (QoS Routing). DiffServ on varsin uusi IETF:n määrittelemä Internetille tarkoitettu palvelunlaatumekanismi. DiffServ tarjoaa skaalattavaa palvelujen erilaistamista ilman viestintää joka hypyssä ja per-flow –tilan ohjausta. DiffServ on hyvä esimerkki hajautetusta verkkosuunnittelusta. Tämän palvelutasomekanismin tavoite on viestintäjärjestelmien suunnittelun yksinkertaistaminen. Verkkosolmu voidaan rakentaa pienestä hyvin määritellystä rakennuspalikoiden joukosta. Palvelunlaatureititys on reititysmekanismi, jolla liikennereittejä määritellään verkon käytettävissä olevien resurssien pohjalta. Tässä työssä selvitetään uusi palvelunlaatureititystapa, jota kutsutaan yksinkertaiseksi monitiereititykseksi (Simple Multipath Routing). Tämän työn tarkoitus on suunnitella palvelunlaatuohjain DiffServille. Tässä työssä ehdotettu palvelunlaatuohjain on pyrkimys yhdistää DiffServ ja palvelunlaatureititysmekanismeja. Työn kokeellinen osuus keskittyy erityisesti palvelunlaatureititysalgoritmeihin.

Papaya seedlings growth using a low-cost, automatic watering controller

The study assessed growth and physiological parameters of 'Sunrise Golden' and 'Tainung 01' papaya seedlings grown in 280mL plastic tubes and watered using a low-cost automatic irrigation system adjusted to operate at substrate water tension for starting irrigation (STI) of 3.0, 6.0 or 9.0 kPa. The water depths applied by the dripping system and drainage were monitored during germination and seedling growth. Germination, emergence velocity index (EVI), leaf area, plant height, shoot and root dry weight, stomatal conductance, relative water content (RWC) and relative chlorophyll content (RCC) were evaluated. Soil nutrient levels were determined by electrical conductivity (EC). Water use efficiency (WUE) corresponded to the ratio of plant dry mass to depth of water applied. STI settings did not affect papaya germination or EVI. System configuration to 3.0 and 6.0 kPa STI exhibited the highest drainage and lowest EC and RCC, indicating soil nutrient loss and plant nutrient deficiency. Drainage was greater in tubes planted with the 'Tainung 01' variety, which developed smaller root systems and lower stomatal conductance than 'Sunrise Golden' seedlings. The highest values for shoot dry weight and WEU were obtained at 6.0 kPa STI for 'Sunrise Golden' (0.62 g and 0.69 g L-1) and at 9.0 kPa in 'Tainung 01' (0.35 g and 0.82 g L-1). RWC at 9.0 kPa STI was lower than at 3.0 kPa in both varieties. The results indicate that the low-cost technology developed for irrigation automation is promising. Even so, new studies are needed to evaluate low-flow irrigation systems as well as the nutrient and water needs of different papaya varieties.

On the Analysis and Control of a Linear Synchronous Servomotor with a Flexible Load

Industry's growing need for higher productivity is placing new demands on mechanisms connected with electrical motors, because these can easily lead to vibration problems due to fast dynamics. Furthermore, the nonlinear effects caused by a motor frequently reduce servo stability, which diminishes the controller's ability to predict and maintain speed. Hence, the flexibility of a mechanism and its control has become an important area of research. The basic approach in control system engineering is to assume that the mechanism connected to a motor is rigid, so that vibrations in the tool mechanism, reel, gripper or any apparatus connected to the motor are not taken into account. This might reduce the ability of the machine system to carry out its assignment and shorten the lifetime of the equipment. Nonetheless, it is usually more important to know how the mechanism, or in other words the load on the motor, behaves. A nonlinear load control method for a permanent magnet linear synchronous motor is developed and implemented in the thesis. The purpose of the controller is to track a flexible load to the desired velocity reference as fast as possible and without awkward oscillations. The control method is based on an adaptive backstepping algorithm with its stability ensured by the Lyapunov stability theorem. As a reference controller for the backstepping method, a hybrid neural controller is introduced in which the linear motor itself is controlled by a conventional PI velocity controller and the vibration of the associated flexible mechanism is suppressed from an outer control loop using a compensation signal from a multilayer perceptron network. To avoid the local minimum problem entailed in neural networks, the initial weights are searched for offline by means of a differential evolution algorithm. The states of a mechanical system for controllers are estimated using the Kalman filter. The theoretical results obtained from the control design are validated with the lumped mass model for a mechanism. Generalization of the mechanism allows the methods derived here to be widely implemented in machine automation. The control algorithms are first designed in a specially introduced nonlinear simulation model and then implemented in the physical linear motor using a DSP (Digital Signal Processor) application. The measurements prove that both controllers are capable of suppressing vibration, but that the backstepping method is superior to others due to its accuracy of response and stability properties.

A Feedfordward Adaptive Controller to Reduce the Imaging Time of Large-Sized Biological Samples with a SPM-Based Multiprobe Station

The time required to image large samples is an important limiting factor in SPM-based systems. In multiprobe setups, especially when working with biological samples, this drawback can make impossible to conduct certain experiments. In this work, we present a feedfordward controller based on bang-bang and adaptive controls. The controls are based in the difference between the maximum speeds that can be used for imaging depending on the flatness of the sample zone. Topographic images of Escherichia coli bacteria samples were acquired using the implemented controllers. Results show that to go faster in the flat zones, rather than using a constant scanning speed for the whole image, speeds up the imaging process of large samples by up to a 4x factor.