The differentiable chain functor is not homotopy equivalent to the continuous chain functor

Let $S_*$ and $S_*^\{infty}$ be the functors of continuous and differentiable singular chains on the category of differentiable manifolds. We prove that the natural transformation $i: S_*^\infty \rightarrow S_*$, which induces homology equivalences over each manifold, is not a natural homotopy equivalence.

Counter-propagating dual-trap optical tweezers based on linear momentum conservation

We present a dual-trap optical tweezers setup which directly measures forces using linear momentum conservation. The setup uses a counter-propagating geometry, which allows momentum measurement on each beam separately. The experimental advantages of this setup include low drift due to all-optical manipulation, and a robust calibration (independent of the features of the trapped object or buffer medium) due to the force measurement method. Although this design does not attain the high-resolution of some co-propagating setups, we show that it can be used to perform different single molecule measurements: fluctuation-based molecular stiffness characterization at different forces and hopping experiments on molecular hairpins. Remarkably, in our setup it is possible to manipulate very short tethers (such as molecular hairpins with short handles) down to the limit where beads are almost in contact. The setup is used to illustrate a novel method for measuring the stiffness of optical traps and tethers on the basis of equilibrium force fluctuations, i.e., without the need of measuring the force vs molecular extension curve. This method is of general interest for dual trap optical tweezers setups and can be extended to setups which do not directly measure forces.

Anticipating linear stochastic differential equations driven by a Lévy process

In this paper we study the existence of a unique solution for linear stochastic differential equations driven by a Lévy process, where the initial condition and the coefficients are random and not necessarily adapted to the underlying filtration. Towards this end, we extend the method based on Girsanov transformations on Wiener space and developped by Buckdahn [7] to the canonical Lévy space, which is introduced in [25].

Hierarchical linear models in Psychiatry: A bibliometric study

Development of research methods requires a systematic review of their status. This study focuses on the use of Hierarchical Linear Modeling methods in psychiatric research. Evaluation includes 207 documents published until 2007, included and indexed in the ISI Web of Knowledge databases; analyses focuses on the 194 articles in the sample. Bibliometric methods are used to describe the publications patterns. Results indicate a growing interest in applying the models and an establishment of methods after 2000. Both Lotka"s and Bradford"s distributions are adjusted to the data.

Delivery Chain Management in the Elevator Industry

Tämän työn tarkoituksena oli kehittää toimintamalli, joka yhdenmukaistaisi Kone Elevators:in modernisointiliikealueen logistiset käytännöt. Toimintamalli luotiin kartoittamalla euroopan maayksiköiden nykyisiä logistisia käytäntöjä sekä perehtymällä asiaankuuluvaan kirjallisuuteen, case study:ihin sekä sähköisiin artikkeleihin. Tärkeää osaa työssä esittivät maayksiköiden sekä Koneen toimittajayksiköiden edustajien haastattelut. Haastatteluiden tuloksia vertailtiin ja analysoitiin. Niiden pohjalta huomattiin, että logistiset toimintatavat vaihtelevat maittain. Ongelmat ovat kuitenkin hyvin samanlaisia; tiedonkulun katkot toimitusprosessin aikana. Muiden Koneen liikealueiden toimintatapoja tutkimalla, haastattelujen tuloksia käyttämällä sekä kirjallisuustutkimuksen pohjalta muodostettiin näkemys parhaasta toimintatapamallista. Modernisointiliikealueen toimitusprosessi tullee perustumaan keskitettyyn ohjaukseen, mutta paikalliseen koordinointiin. Se tullee hyväksikäyttämään ulkoistetun logistiikan tarjoamia mahdollisuuksia sekä sähköistä tiedonsiirtoa. Fyysiselle siirrolle tarjotaan kolmea vaihtoehtoa, joista maayksiköt voivat valita tilanteeseen parhaiten sopivan.

Source separation techniques applied to linear prediction

The prediction filters are well known models for signal estimation, in communications, control and many others areas. The classical method for deriving linear prediction coding (LPC) filters is often based on the minimization of a mean square error (MSE). Consequently, second order statistics are only required, but the estimation is only optimal if the residue is independent and identically distributed (iid) Gaussian. In this paper, we derive the ML estimate of the prediction filter. Relationships with robust estimation of auto-regressive (AR) processes, with blind deconvolution and with source separation based on mutual information minimization are then detailed. The algorithm, based on the minimization of a high-order statistics criterion, uses on-line estimation of the residue statistics. Experimental results emphasize on the interest of this approach.

Improving the order-delivery chain

Tutkielman tavoitteena on tarkastella letkuventtiilien tilaus-toimitusketjua ja selvittää, kuinka se muodostuu. Tavoitteena on laatia selvitys yrityksen tilaus-toimitusketjun muodostumisen vaiheista yrityksen sisäiseen käyttöön ja tutkia, kuinka ketjua voitaisiin parantaa, jotta tulevaisuudessa asiakkaita voitaisiin palvella paremmin ja joustavammin. Tutkimusongelmaa lähestytään prosessiajattelun näkökulmasta ja tutkielmassa käytetään kvalitatiivista tutkimusmenetelmää, jonka pääasiallisena tiedonkeruuvälineenä on vapaamuotoiset haastattelut, yrityksen dokumenttien tutkiminen ja analysointi sekä yrityksen toiminnan havainnointi. Tilaus-toimitusketjun parantaminen edellyttää yritykseltä ja sen edustajilta asiakkaiden ostokäyttäytymisen ohjaamista, tiedon avointa ja oikea-aikaista jakamista kaikille sitä tarvitseville sekä kulttuurierojen huomioon ottamista. Erityisesti tilaus-toimitusketjun alkuvaiheisiin tulisi panostaa tulevaisuudessa, sillä monet ongelmat syntyvät tutkimuksen mukaan toimitusketjun alkupuolella.

Exploring Non-linear Transformations for an Entropybased Voice Activity Detector

In this paper we explore the use of non-linear transformations in order to improve the performance of an entropy based voice activity detector (VAD). The idea of using a non-linear transformation comes from some previous work done in speech linear prediction (LPC) field based in source separation techniques, where the score function was added into the classical equations in order to take into account the real distribution of the signal. We explore the possibility of estimating the entropy of frames after calculating its score function, instead of using original frames. We observe that if signal is clean, estimated entropy is essentially the same; but if signal is noisy transformed frames (with score function) are able to give different entropy if the frame is voiced against unvoiced ones. Experimental results show that this fact permits to detect voice activity under high noise, where simple entropy method fails.

Dosimetria dos cones radiocirúrgicos Radionics de diâmetros de 5 mm a 50 mm para um feixe de 6 MV de um acelerador linear Mevatron MD digital

Os parâmetros dosimétricos de um feixe de raios X de pequeno diâmetro para um sistema de radiocirurgia comercial foram medidos em água com um detector de diodo de Si do tipo p. As razões tecido-máximo, o fator de espalhamento total e os perfis dos feixes a profundidades de 5 e 10 cm foram medidos para 17 feixes de diâmetros circulares de 5 mm a 50 mm, em incrementos de 2,5 mm. Os fatores de espalhamento totais caíram lentamente, de 0,947 para 0,888 entre os cones de 50 mm e 12,5 mm de diâmetro (variação de 7%); para os cones entre 10 mm e 5 mm de diâmetro, esta queda foi bem maior, de 0,854 para 0,666 (variação de 28%). Os valores obtidos para a relação tecido-máximo são consistentes com dados publicados. Os perfis dos feixes foram medidos nas direções x e y, e estão dentro de 0,2 mm para todos os cones entre as duas direções. A medida da largura à meia-altura se encontra dentro de 1 mm com o diâmetro nominal dos cones.

Implantação de um programa de controle de qualidade de um acelerador linear de 6 MeV de fótons

Este trabalho apresenta a parte operacional do processo final envolvido na implantação de um programa de controle de qualidade por meio de testes rotineiros mecânicos e de radiação. O programa de controle de qualidade, durante 35 meses, mostrou a estabilidade excelente deste acelerador.

The Comprehensive Standardization of the Graphic Industry Production Chain in the Printing House

The purpose of this thesis was to investigate Job Definition Format (JDF) and how it could be used in printing house's systems. JDF is a very new information exchange standard, and it gives a lot of opportunities to the printing industry. JDF is the first standard, that has an ability to carry a print job from genesis through completion. Besides, JDF has an ability to bridge the communication gap between production and management information services. In the study of JDF we focused on examining how JDF will effect on printing industry .The thesis also examines printing houses's systems ability to work with JDF standard. The result of the study is a comprehensive picture, what is JDF. We also researched the system developers' visions, how JDF will effect on their products in the future.

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.

Adaptive MCMC methods with applications in environmental and geophysical models

This work presents new, efficient Markov chain Monte Carlo (MCMC) simulation methods for statistical analysis in various modelling applications. When using MCMC methods, the model is simulated repeatedly to explore the probability distribution describing the uncertainties in model parameters and predictions. In adaptive MCMC methods based on the Metropolis-Hastings algorithm, the proposal distribution needed by the algorithm learns from the target distribution as the simulation proceeds. Adaptive MCMC methods have been subject of intensive research lately, as they open a way for essentially easier use of the methodology. The lack of user-friendly computer programs has been a main obstacle for wider acceptance of the methods. This work provides two new adaptive MCMC methods: DRAM and AARJ. The DRAM method has been built especially to work in high dimensional and non-linear problems. The AARJ method is an extension to DRAM for model selection problems, where the mathematical formulation of the model is uncertain and we want simultaneously to fit several different models to the same observations. The methods were developed while keeping in mind the needs of modelling applications typical in environmental sciences. The development work has been pursued while working with several application projects. The applications presented in this work are: a winter time oxygen concentration model for Lake Tuusulanjärvi and adaptive control of the aerator; a nutrition model for Lake Pyhäjärvi and lake management planning; validation of the algorithms of the GOMOS ozone remote sensing instrument on board the Envisat satellite of European Space Agency and the study of the effects of aerosol model selection on the GOMOS algorithm.