Identification of models using failure rate and mean residual life of doubly truncated random variables

In this paper, we study the relationship between the failure rate and the mean residual life of doubly truncated random variables. Accordingly, we develop characterizations for exponential, Pareto 11 and beta distributions. Further, we generalize the identities for fire Pearson and the exponential family of distributions given respectively in Nair and Sankaran (1991) and Consul (1995). Applications of these measures in file context of lengthbiased models are also explored

Dominant Mean Percentage Score Factors Of The Consumer Purchase Behaviour Of Passenger Cars

Globalization and liberalization, with the entry of many prominent foreign manufacturers, changed the automobile scenario in India, since early 1990’s. World Leaders in automobile manufacturing such as Ford, General Motors, Honda, Toyota, Suzuki, Hyundai, Renault, Mitsubishi, Benz, BMW, Volkswagen and Nissan set up their manufacturing units in India in joint venture with their Indian counterpart companies, by making use of the Foreign Direct Investment policy of the Government of India, These manufacturers started capturing the hearts of Indian car customers with their choice of technological and innovative product features, with quality and reliability. With the multiplicity of choices available to the Indian passenger car buyers, it drastically changed the way the car purchase scenario in India and particularly in the State of Kerala. This transformed the automobile scene from a sellers’ market to buyers’ market. Car customers started developing their own personal preferences and purchasing patterns, which were hitherto unknown in the Indian automobile segment. The main purpose of this paper is to come up with the identification of possible parameters and a framework development, that influence the consumer purchase behaviour patterns of passenger car owners in the State of Kerala, so that further research could be done, based on the framework and the identified parameters.

ECG Noise Removal using GA tuned Sign-Data Least Mean Square Algorithm

Adaptive filter is a primary method to filter Electrocardiogram (ECG), because it does not need the signal statistical characteristics. In this paper, an adaptive filtering technique for denoising the ECG based on Genetic Algorithm (GA) tuned Sign-Data Least Mean Square (SD-LMS) algorithm is proposed. This technique minimizes the mean-squared error between the primary input, which is a noisy ECG, and a reference input which can be either noise that is correlated in some way with the noise in the primary input or a signal that is correlated only with ECG in the primary input. Noise is used as the reference signal in this work. The algorithm was applied to the records from the MIT -BIH Arrhythmia database for removing the baseline wander and 60Hz power line interference. The proposed algorithm gave an average signal to noise ratio improvement of 10.75 dB for baseline wander and 24.26 dB for power line interference which is better than the previous reported works

Evaluation Of A Novel Method Of Real Time Computer Assisted Spine Surgery

In this paper the effectiveness of a novel method of computer assisted pedicle screw insertion was studied using testing of hypothesis procedure with a sample size of 48. Pattern recognition based on geometric features of markers on the drill has been performed on real time optical video obtained from orthogonally placed CCD cameras. The study reveals the exactness of the calculated position of the drill using navigation based on CT image of the vertebra and real time optical video of the drill. The significance value is 0.424 at 95% confidence level which indicates good precision with a standard mean error of only 0.00724. The virtual vision method is less hazardous to both patient and the surgeon

Goldnanoteilchen auf Titandioxid

In dieser Arbeit wurde das Wachstum sowie die ultraschnelle Elektronendynamik des Oberflächenplasmon Polaritons von Goldnanoteilchen auf Titandioxid untersucht. Die Messung der Dephasierungszeit des Oberflächenplasmons von Nanoteilchen mit definierter Form und Größe erfolgte dabei mit der Methode des spektralen Lochbrennens. Die Nanoteilchen wurden durch Deposition von Goldatomen aus einem thermischen Atomstrahl mit anschließender Diffussion und Nukleation, d.h. Volmer-Weber-Wachstum, auf Titandioxidsubstraten hergestellt und mittels einer Kombination aus optischer Spektroskopie und Rasterkraftmikroskopie systematisch untersucht. Dabei lässt sich das Nanoteilchenensemble durch das mittlere Achsverhältnis und den mittleren Äquivalentradius charakterisieren. Die Messungen zeigen, dass die Proben große Größen- und Formverteilungen aufweisen und ein definierter Zusammenhang zwischen Größe und Form der Teilchen existiert. Während kleine Goldnanoteilchen nahezu kugelförmig sind, flachen die Teilchen mit zunehmender Größe immer mehr ab. Des Weiteren wurde in dieser Arbeit die Methode des lasergestützten Wachstums auf das System Gold auf Titandioxid angewendet. Systematische Untersuchungen zeigten, dass sich das Achsverhältnis der Teilchen durch geeignete Wahl von Photonenenergie und Fluenz des eingestrahlten Laserlichts definiert und gezielt vorgeben lässt. Die Methode des lasergestützten Wachstums erschließt damit den Bereich außerhalb der Zugänglichkeit des natürlichen Wachstums. Aufgrund der Formabhängigkeit der spektrale Lage der Plasmonresonanz ist man somit in der Lage, die optischen Eigenschaften der Nanoteilchen gezielt einzustellen und z.B. für technische Anwendungen zu optimieren. Die Untersuchung der ultraschnellen Elektronendynamik von Goldnanoteilchen auf Titandioxid mit äquivalenten Radien zwischen 8 bis 15 nm erfolgte in dieser Arbeit mit der Methode des spektralen Lochbrennes. Hierzu wurde die Dephasierungszeit des Oberflächenplasmons systematisch als Funktion der Photonenenergie in einem Bereich von 1,45 bis 1,85 eV gemessen. Es zeigte sich, dass die gemessenen Dephasierungszeiten von 8,5 bis 16,2 fs deutlich unter den in der dielektrischen Funktion von Gold enthaltenen Werten lagen, was den erwarteten Einfluss der reduzierten Dimension der Teilchen demonstriert. Um die Messwerte trotz verschiedener Teilchengrößen untereinander vergleichen und den Einfluss der intrinsischen Dämpfung quantifizieren zu können, wurde zusätzlich der Dämpfungsparameter A bestimmt. Die ermittelten A-Faktoren zeigten dabei eine starke Abhängigkeit von der Plasmonenergie. Für Teilchen mit Plasmonenergien von 1,45 bis 1,55 eV wurde ein Dämpfungsfaktor von A ~ 0,2 nm/fs ermittelt, der lediglich Oberflächenstreuung als dominierenden Dämpfungsmechanismus widerspiegelt. Hingegen wurde für Teilchen mit Plasmonenergien oberhalb von 1,55 eV ein drastischer Anstieg der Dämpfung auf A ~ 0,4 nm/fs beobachtet. Die erhöhte Dämpfung wurde dabei dem zusätzlichen Vorliegen einer chemischen Dämpfung durch das Titandioxidsubstrat zugeschrieben. Zusammenfassend zeigen die Ergebnisse somit, dass eine starke Abhängigkeit der chemischen Dämpfung von der Photonenenergie vorliegt. Es konnte erstmals nachgewiesen werden, dass die chemische Dämpfung erst ab einer bestimmten unteren Schwelle der Photonenenergie einsetzt, die für Goldnanoteilchen auf Titandioxid bei etwa 1,6 eV liegt.

Metallische Nanopartikel auf Quarz

This work presents the developement of an chemically stable and easy to produce in situ sensor for fast and reliable detection of polycyclic aromatic hydrocarbons (PAH) in low nanomolar concentrations. Metallic nanoparticles on dielectric substrates werde used for the rst time with surface enhanced Raman spectroscopy (SERS) in combination with shifted excitation Raman difference spectroscopy (SERDS). The preparation of the metallic nanoparticle ensembles with Volmer-Webergrowth is described first. The nanoparticles are characterized with both, optical spectroscopy and atomic force microscopy. The morphological properties of the nanoparticle ensembles are de ned by the mean axial ratio (a/b) and the mean equivalent radius (R Äq), respectively. The prepared and characterized nanoparticles were then used for intensive Raman spectroscopy measurements. Two sophisticated diode laser systems were used in cooperation with the TU Berlin, to carry out these experiments. The first step was to establish the ideal combination of excitation wavelength of the diode laser and the maximum of the surface plasmon resonance of the nanoparticle ensembles. From these results it was deduced, that for an optimum Raman signal the plasmon resonance maximum of the nanoparticle ensemble has to be red-shifted a few nanometeres in respect to the excitation wavelength. Different PAHs werde detected in concentrations of only 2 and 0.5 nmol/, respectively. Furthermore, the obtained results show an excellent reproducability. In addition the time dependence of the Raman signal intensity was investigated. The results of these measurements show, that only 2 minutes after placing the substrates in the molecular solution, a detectable Raman signal was generated. The maximum Raman signal, i.e. the time in which the molecular adsorption process is finished, was determined to about 10 minutes. In summary it was shown, that the used metallic nanoparticle ensembles are highly usable as substrates for SERS in combination with SERDS to detect PAHs in low nanomolar concentrations.

Internal Camera Calibration Using Rotation and Geometric Shapes

This paper describes a simple method for internal camera calibration for computer vision. This method is based on tracking image features through a sequence of images while the camera undergoes pure rotation. The location of the features relative to the camera or to each other need not be known and therefore this method can be used both for laboratory calibration and for self calibration in autonomous robots working in unstructured environments. A second method of calibration is also presented. This method uses simple geometric objects such as spheres and straight lines to The camera parameters. Calibration is performed using both methods and the results compared.

Geometric Structure of the Adaptive Controller of the Human Arm

The objects with which the hand interacts with may significantly change the dynamics of the arm. How does the brain adapt control of arm movements to this new dynamic? We show that adaptation is via composition of a model of the task's dynamics. By exploring generalization capabilities of this adaptation we infer some of the properties of the computational elements with which the brain formed this model: the elements have broad receptive fields and encode the learned dynamics as a map structured in an intrinsic coordinate system closely related to the geometry of the skeletomusculature. The low--level nature of these elements suggests that they may represent asset of primitives with which a movement is represented in the CNS.

Geometric and Algebraic Aspects of 3D Affine and Projective Structures from Perspective 2D Views

We investigate the differences --- conceptually and algorithmically --- between affine and projective frameworks for the tasks of visual recognition and reconstruction from perspective views. It is shown that an affine invariant exists between any view and a fixed view chosen as a reference view. This implies that for tasks for which a reference view can be chosen, such as in alignment schemes for visual recognition, projective invariants are not really necessary. We then use the affine invariant to derive new algebraic connections between perspective views. It is shown that three perspective views of an object are connected by certain algebraic functions of image coordinates alone (no structure or camera geometry needs to be involved).

Geometric Aspects of Visual Object Recognition

This thesis presents there important results in visual object recognition based on shape. (1) A new algorithm (RAST; Recognition by Adaptive Sudivisions of Tranformation space) is presented that has lower average-case complexity than any known recognition algorithm. (2) It is shown, both theoretically and empirically, that representing 3D objects as collections of 2D views (the "View-Based Approximation") is feasible and affects the reliability of 3D recognition systems no more than other commonly made approximations. (3) The problem of recognition in cluttered scenes is considered from a Bayesian perspective; the commonly-used "bounded-error errorsmeasure" is demonstrated to correspond to an independence assumption. It is shown that by modeling the statistical properties of real-scenes better, objects can be recognized more reliably.

Kriging coordinates: what does that mean?

Kriging is an interpolation technique whose optimality criteria are based on normality assumptions either for observed or for transformed data. This is the case of normal, lognormal and multigaussian kriging. When kriging is applied to transformed scores, optimality of obtained estimators becomes a cumbersome concept: back-transformed optimal interpolations in transformed scores are not optimal in the original sample space, and vice-versa. This lack of compatible criteria of optimality induces a variety of problems in both point and block estimates. For instance, lognormal kriging, widely used to interpolate positive variables, has no straightforward way to build consistent and optimal confidence intervals for estimates. These problems are ultimately linked to the assumed space structure of the data support: for instance, positive values, when modelled with lognormal distributions, are assumed to be embedded in the whole real space, with the usual real space structure and Lebesgue measure

When zero doesn't mean it and other geomathematical mischief

There is almost not a case in exploration geology, where the studied data doesn’t includes below detection limits and/or zero values, and since most of the geological data responds to lognormal distributions, these “zero data” represent a mathematical challenge for the interpretation. We need to start by recognizing that there are zero values in geology. For example the amount of quartz in a foyaite (nepheline syenite) is zero, since quartz cannot co-exists with nepheline. Another common essential zero is a North azimuth, however we can always change that zero for the value of 360°. These are known as “Essential zeros”, but what can we do with “Rounded zeros” that are the result of below the detection limit of the equipment? Amalgamation, e.g. adding Na2O and K2O, as total alkalis is a solution, but sometimes we need to differentiate between a sodic and a potassic alteration. Pre-classification into groups requires a good knowledge of the distribution of the data and the geochemical characteristics of the groups which is not always available. Considering the zero values equal to the limit of detection of the used equipment will generate spurious distributions, especially in ternary diagrams. Same situation will occur if we replace the zero values by a small amount using non-parametric or parametric techniques (imputation). The method that we are proposing takes into consideration the well known relationships between some elements. For example, in copper porphyry deposits, there is always a good direct correlation between the copper values and the molybdenum ones, but while copper will always be above the limit of detection, many of the molybdenum values will be “rounded zeros”. So, we will take the lower quartile of the real molybdenum values and establish a regression equation with copper, and then we will estimate the “rounded” zero values of molybdenum by their corresponding copper values. The method could be applied to any type of data, provided we establish first their correlation dependency. One of the main advantages of this method is that we do not obtain a fixed value for the “rounded zeros”, but one that depends on the value of the other variable. Key words: compositional data analysis, treatment of zeros, essential zeros, rounded zeros, correlation dependency

Geometric characterization of red blood cells. Differentiation of normal and pathologic samples

Introduction. Fractal geometry measures the irregularity of abstract and natural objects with the fractal dimension. Fractal calculations have been applied to the structures of the human body and to quantifications in physiology from the theory of dynamic systems.Material and Methods. The fractal dimensions were calculated, the number of occupation spaces in the space border of box counting and the area of two red blood cells groups, 7 normal ones, group A, and 7 abnormal, group B, coming from patient and of bags for transfusion, were calculated using the method of box counting and a software developed for such effect. The obtained measures were compared, looking for differences between normal and abnormal red blood cells, with the purpose of differentiating samples.Results. The abnormality characterizes by a number of squares of occupation of the fractal space greater or equal to 180; values of areas between 25.117 and 33.548 correspond to normality. In case that the evaluation according to the number of pictures is of normality, must be confirmed with the value of the area applied to adjacent red blood cells within the sample, that in case of having values by outside established and/or the greater or equal spaces to 180, they suggest abnormality of the sample.Conclusions. The developed methodology is effective to differentiate the red globules alterations and probably useful in the analysis of bags of transfusion for clinical use 

Option pricing in market models driven by telegraph processes with jumps

Esta tesis está dividida en dos partes: en la primera parte se presentan y estudian los procesos telegráficos, los procesos de Poisson con compensador telegráfico y los procesos telegráficos con saltos. El estudio presentado en esta primera parte incluye el cálculo de las distribuciones de cada proceso, las medias y varianzas, así como las funciones generadoras de momentos entre otras propiedades. Utilizando estas propiedades en la segunda parte se estudian los modelos de valoración de opciones basados en procesos telegráficos con saltos. En esta parte se da una descripción de cómo calcular las medidas neutrales al riesgo, se encuentra la condición de no arbitraje en este tipo de modelos y por último se calcula el precio de las opciones Europeas de compra y venta.