A statistical shape model of the human second cervical vertebra.

PURPOSE: Statistical shape and appearance models play an important role in reducing the segmentation processing time of a vertebra and in improving results for 3D model development. Here, we describe the different steps in generating a statistical shape model (SSM) of the second cervical vertebra (C2) and provide the shape model for general use by the scientific community. The main difficulties in its construction are the morphological complexity of the C2 and its variability in the population. METHODS: The input dataset is composed of manually segmented anonymized patient computerized tomography (CT) scans. The alignment of the different datasets is done with the procrustes alignment on surface models, and then, the registration is cast as a model-fitting problem using a Gaussian process. A principal component analysis (PCA)-based model is generated which includes the variability of the C2. RESULTS: The SSM was generated using 92 CT scans. The resulting SSM was evaluated for specificity, compactness and generalization ability. The SSM of the C2 is freely available to the scientific community in Slicer (an open source software for image analysis and scientific visualization) with a module created to visualize the SSM using Statismo, a framework for statistical shape modeling. CONCLUSION: The SSM of the vertebra allows the shape variability of the C2 to be represented. Moreover, the SSM will enable semi-automatic segmentation and 3D model generation of the vertebra, which would greatly benefit surgery planning.

Prospective motion correction with FID-triggered image navigators

In this work, we propose a method for prospective motion correction in MRI using a novel image navigator module, which is triggered by a free induction decay (FID) navigator. Only when motion occurs, the image navigator is run and new positional information is obtained through image registration. The image navigator was specifically designed to match the impact on the magnetization and the acoustic noise of the host sequence. This detection-correction scheme was implemented for an MP-RAGE sequence and 5 healthy volunteers were scanned at 3T while performing various head movements. The correction performance was demonstrated through automated brain segmentation and an image quality index whose results are sensitive to motion artifacts.

Marketing Plan of Electric Vehicle Charging Solutions to USA

The purpose of the Thesis was to evaluate the business environment of electrical vehicle charging equipment (EVSE) in USA, find the key issues of entering the US EVSE markets and to form a marketing plan for possible market entry. The external market research analyzed the environment, customers, competitors and demand of EVSEs. In the internal analysis the focus was on resources and capabilities, offering, performance, business relations and US related issues. The research about the business environment was done using already available information from market studies and seminars. In external analysis there were also two semi-structured interviews from market experts used. The internal analysis was done mostly by interviews, but also company’s internal data sources were used. The interviews were semi-constructed and included eight interviewees from each part of EVSE value chain. The research findings were analyzed using SWOT analysis, which was converted to a so called TOWS matrix for extracting strategies. As a result of the Thesis, valuable information about the US markets and their requirements for EVSEs was gained. By matching the strengths of the case company and market requirements, customer segmentation and targeting were done and a marketing plan was constructed for the case company to help their management to evaluate the feasibility of possible market entry and investments to USA.

Kuljetustensuunnittelu- ja reitinoptimointiohjelmiston kaupallistamiseen vaikuttavat keskeiset ominaisuudet

Ajoneuvojen reititystä on tutkittu 1950-luvulta asti, alunperin etsiessä polttoainekuljetuksille optimaalisinta reittiä varastolta useille palveluasemille. Siitä lähtien ajoneuvon reititystehtäviä on tutkittu akateemisesti ja niistä on muodostettu kymmeniä erilaisia variaatioita. Tehtävien ratkaisumenetelmät jaetaan tyypillisesti tarkkoihin menetelmiin sekä heuristiikkoihin ja metaheuristiikkoihin. Konetehon ja heuristiikoissa käytettävien algoritmien kehittymisen myötä reitinoptimointia on alettu tarjota kaupallisesti. CO-SKY-projektin tavoitteena on kaupallistaa web-pohjainen tai toiminnanohjausjärjestelmään integroitava ajoneuvon reititys. Diplomityössä tutkitaan kuljetustensuunnittelu- ja reitinoptimointiohjelmistojen kaupallistamiseen vaikuttavia keskeisiä ominaisuuksia. Ominaisuuksia on tarkasteltu: 1) erityisesti pk-kuljetusyritysten tarpeiden ja vaatimusten pohjalta, ja 2) markkinoilla olevien ohjelmistojen tarjontaa arvioiden. Näiden pohjalta on myös pyritty arvioimaan kysynnän ja tarjonnan kohtaamista. Pilottiasiakkaita haastattelemalla ohjelmistolle on kyetty asettamaan vaatimuksia, mutta samalla on kuultu käyttäjien mielipiteitä optimoinnista. Lukuisia logistiikkaohjelmistojen tarjoajia on haastateltu logistiikkamessuilla sekä Suomessa että Saksassa. Haastattelujen perusteella on saatu käsitys kyseisistä ohjelmista sekä optimoinnin tarjonnasta että kysynnästä. Akateeminen tutkimus aiheesta on laajaa, koskien niin teknistä toteutusta kuin myös (kysely-)tutkimuksia tarjolla olevien ohjelmistojen ominaisuuksista ja laadusta. Kuljetusyritysten tarpeissa on vaihtelua yritys- ja alakohtaisesti. Perusongelmat ovat samoja, joita reitinoptimoinnin akateemisessa tutkimuksessa käsitellään ja joita kaupalliset ohjelmistot pystyvät ratkaisemaan. Vaikka reitinoptimoinnilla saatavat hyödyt ovat mitattavissa, suunnittelu etenkin pk-yrityksissä tehdään pääosin yhä käsin. Messuhaastattelujen ja loppukäyttäjien mielipiteiden perusteella voidaan todeta kaupallisten ratkaisujen olevan suunniteltu isommille kuljetusyrityksille: tyypillisen it-projektin hinta, käyttöönottoaika ja asennus sekä ratkaisun takaisinmaksuaika vaikuttavat pk-yritysten hankintapäätökseen. Kaupallistamiseen liittyen haasteet liittyvät erityisesti segmentointiin ja markkinointiin asiakasarvon todentamisen ja sen välittämisen kautta.

Asiantuntijapalveluiden kehittäminen isännöintialan yrityksessä

Isännöintiala on tämän päivän Suomessa yhä suurempien haasteiden edessä asiakkaiden ja yhteiskunnan asettamien vaatimusten kasvaessa mutta samalla käytössä olevien resurssien niukentuessa. Tämä työ toimii osana kokonaisvaltaisempaa asiantuntijapalveluprosessien kehittämiseen keskittyvää projektia, jonka keskipisteessä ovat isännöintipalvelut ja niiden kehittäminen kohdeyrityksen tarpeiden mukaisesti. Diplomityössä keskitytään isännöintipalveluiden kehittämiseen palveluiden paketoimisen ja hinnoittelun sekä asiakassegmentoinnin näkökulmasta. Työn tavoitteena oli löytää uusia ratkaisumalleja vastaamaan kohdeyrityksen tulevaisuuden tavoitteisiin samalla huomioiden toimintaympäristön muuttuvat tarpeet. Projekti jakautui kahteen osaan; nykytila-analyysiin ja sen pohjalta rakennettaviin ratkaisuehdotuksiin. Nykytila-analyysin avulla haluttiin löytää nykyisen toiminnan keskeisimmät ongelmakohdat, joihin haettiin sittemmin ratkaisua palveluiden uudelleenpaketoimisen myötä. Merkittävimpiä havaittuja ongelmatekijöitä olivat työn kuormittavuuden epätasainen jakautuminen ja se, ettei kuormittavuutta huomioitu tavassa tuottaa tai hinnoitella palveluita. Kuormittavuuden epätasainen jakautuminen otettiin lähtökohdaksi asiakassegmentoinnin ja palveluiden uudelleenpaketoinnin toteuttamisessa.

New ways to do business plans in multicultural organizations

Business plans are made when establishing new company or when organizations launch new product or services. In this Master Thesis was examined the elements are included in the business plan and emphasized. Business plan is a wide document and can also contain company specific information, the literature review was restricted into three areas which were investigated from the relating literature and articles. The selected areas were Market Segmentation and Targeting, Competitive Environment, and Market Positioning and Strategy. The different business plan models were investigated by interviewing companies who operates in a different industry sectors from each other’s. The models were compared to each other and to the findings from literature. Based on interview results and literature findings, the business plan for fibre based packaging. The created business plan contains three selected areas. It was found that the selected business plan elements can be found from the interviewed companies’ business plans. The market segmentation was done by comparing the market share to known total market size. When analyzing the competitive environment, there was no one selected model in use. The tools to evaluate competitive environment was selected parts from both SWOT analysis and Porter’s five forces model in applicable part. Based on interview results, it can be state that the company or organization should find and built its own model for business plans. In order to receive the benefits for future planning, the company should use the same model for long time.

Informalidade no mercado de trabalho brasileiro: uma resenha da literatura

The economic literature relative to Brazilian labor market informality is very disperse and presents a significant lack of organization. In that sense, the purpose of this paper is to organize and discuss on a systematic way the main pieces of literature concerning informality in the Brazilian labor market using, whenever it is possible, the international literature as a comparison point for the existing results relative to Brazil's experience. More specifically, questions related to wage differentials between formal and informal workers, labor market segmentation and the effect of institutions on the informal sector are emphasized.

Wavelet based Independent Component Analysis for Multispectral Brain Tissue Classification

Multispectral analysis is a promising approach in tissue classification and abnormality detection from Magnetic Resonance (MR) images. But instability in accuracy and reproducibility of the classification results from conventional techniques keeps it far from clinical applications. Recent studies proposed Independent Component Analysis (ICA) as an effective method for source signals separation from multispectral MR data. However, it often fails to extract the local features like small abnormalities, especially from dependent real data. A multisignal wavelet analysis prior to ICA is proposed in this work to resolve these issues. Best de-correlated detail coefficients are combined with input images to give better classification results. Performance improvement of the proposed method over conventional ICA is effectively demonstrated by segmentation and classification using k-means clustering. Experimental results from synthetic and real data strongly confirm the positive effect of the new method with an improved Tanimoto index/Sensitivity values, 0.884/93.605, for reproduced small white matter lesions

Attentional Selection in Object Recognition

A key problem in object recognition is selection, namely, the problem of identifying regions in an image within which to start the recognition process, ideally by isolating regions that are likely to come from a single object. Such a selection mechanism has been found to be crucial in reducing the combinatorial search involved in the matching stage of object recognition. Even though selection is of help in recognition, it has largely remained unsolved because of the difficulty in isolating regions belonging to objects under complex imaging conditions involving occlusions, changing illumination, and object appearances. This thesis presents a novel approach to the selection problem by proposing a computational model of visual attentional selection as a paradigm for selection in recognition. In particular, it proposes two modes of attentional selection, namely, attracted and pay attention modes as being appropriate for data and model-driven selection in recognition. An implementation of this model has led to new ways of extracting color, texture and line group information in images, and their subsequent use in isolating areas of the scene likely to contain the model object. Among the specific results in this thesis are: a method of specifying color by perceptual color categories for fast color region segmentation and color-based localization of objects, and a result showing that the recognition of texture patterns on model objects is possible under changes in orientation and occlusions without detailed segmentation. The thesis also presents an evaluation of the proposed model by integrating with a 3D from 2D object recognition system and recording the improvement in performance. These results indicate that attentional selection can significantly overcome the computational bottleneck in object recognition, both due to a reduction in the number of features, and due to a reduction in the number of matches during recognition using the information derived during selection. Finally, these studies have revealed a surprising use of selection, namely, in the partial solution of the pose of a 3D object.

From First Contact to Close Encounters: A Developmentally Deep Perceptual System for a Humanoid Robot

This thesis presents a perceptual system for a humanoid robot that integrates abilities such as object localization and recognition with the deeper developmental machinery required to forge those competences out of raw physical experiences. It shows that a robotic platform can build up and maintain a system for object localization, segmentation, and recognition, starting from very little. What the robot starts with is a direct solution to achieving figure/ground separation: it simply 'pokes around' in a region of visual ambiguity and watches what happens. If the arm passes through an area, that area is recognized as free space. If the arm collides with an object, causing it to move, the robot can use that motion to segment the object from the background. Once the robot can acquire reliable segmented views of objects, it learns from them, and from then on recognizes and segments those objects without further contact. Both low-level and high-level visual features can also be learned in this way, and examples are presented for both: orientation detection and affordance recognition, respectively. The motivation for this work is simple. Training on large corpora of annotated real-world data has proven crucial for creating robust solutions to perceptual problems such as speech recognition and face detection. But the powerful tools used during training of such systems are typically stripped away at deployment. Ideally they should remain, particularly for unstable tasks such as object detection, where the set of objects needed in a task tomorrow might be different from the set of objects needed today. The key limiting factor is access to training data, but as this thesis shows, that need not be a problem on a robotic platform that can actively probe its environment, and carry out experiments to resolve ambiguity. This work is an instance of a general approach to learning a new perceptual judgment: find special situations in which the perceptual judgment is easy and study these situations to find correlated features that can be observed more generally.

Cambios en los retornos de la educación en Bogotá entre 1997 y 2003

Se estima la tasa de retorno de la educación en Bogotá para 1997 y 2003 por medio de la metodología de Heckman. Se encuentra que los retornos de la educación y de la experiencia potencial son menores en 2003. El ingreso laboral promedio también disminuye.

Estimating root–soil contact from 3D X-ray microtomographs

Adequate contact with the soil is essential for water and nutrient adsorption by plant roots, but the determination of root–soil contact is a challenging task because it is difficult to visualize roots in situ and quantify their interactions with the soil at the scale of micrometres. A method to determine root–soil contact using X-ray microtomography was developed. Contact areas were determined from 3D volumetric images using segmentation and iso-surface determination tools. The accuracy of the method was tested with physical model systems of contact between two objects (phantoms). Volumes, surface areas and contact areas calculated from the measured phantoms were compared with those estimated from image analysis. The volume was accurate to within 0.3%, the surface area to within 2–4%, and the contact area to within 2.5%. Maize and lupin roots were grown in soil (<2 mm) and vermiculite at matric potentials of −0.03 and −1.6 MPa and in aggregate fractions of 4–2, 2–1, 1–0.5 and < 0.5 mm at a matric potential of −0.03 MPa. The contact of the roots with their growth medium was determined from 3D volumetric images. Macroporosity (>70 µm) of the soil sieved to different aggregate fractions was calculated from binarized data. Root-soil contact was greater in soil than in vermiculite and increased with decreasing aggregate or particle size. The differences in root–soil contact could not be explained solely by the decrease in porosity with decreasing aggregate size but may also result from changes in particle and aggregate packing around the root.

A Teoria de segmentação face à satisfação do consumidor de serviços bancários: um estudo de caso em um banco de varejo

There is a intensity change within financial services industry: deregulation, technology, joint ventures and, in Brazil, privatization, increase of foreign competitors and fall of industry participating from 31 per cent to 5,4 per cent in Brazilian GDP.In this context financial institutions are working very hard to improve their market share, besides promoting customer retention and creating customer loyalty.In this paper we are presenting the scenario of industry in the 90's, opportunity to use segmentation and relationship strategies used by banks through distribution channels.The purpose of this study is to examine the relationship between customer satisfaction and segmentation. To ascertain whether such a link exists, a primary study of 3.378 individuals was conducted in two branches at Rio de Janeiro in March 2001. The results suggest that there is little relationship between customer satisfaction and segmentation, besides other qualitative findings.

A produção de subjetividade no sistema capitalista: a prática do psicólogo

Este estudo parte de uma análise crítica da inserção do psicólogo nas organizações de trabalho. Observando a atuação do psicólogo como agente de produção de subjetividade do sistema capitalista, procuro conhecer as formas de produção capitalistica de subjetividade e suas rupturas, no contexto brasileiro de produção, a partir de uma investigação teórica sobre o capitalismo e uma pesquisa de campo em um sindicato vanguarda ou combativo. O tema é então abordado em quatro questões básicas: O poder, analisado a partir da história da industrialização, que segundo interesses determinados produzia corpos úteis e servis para atender a urna demanda de acumulação de capitais e exploração do trabalho humano. A desqualificação no sujeito no trabalho pela parcialização e pelo automatismo do ato que o expropria de seu saber. A despolitização pela produção da submissão e da fragilidade frente ao pai-patrão. Pela redução da liberdade e dignidade que se efetua pela naturalização do determinismo e do sistema social inalterado. A questão do uso e abuso do corpo que produz um ser descartável, negligenciado pelo descaso com a sua saúde. Concluindo faço uma análise do caminho percorrido pelo psicólogo nas organizações procurando realçar as contradições teórico-prática que definem o seu campo de atuação, acreditando estar contribuindo para um enfoque e uma situação mais crítica deste espaço.

Ensaios sobre a estrutura a termo da taxa de juros

Esta tese é composta de três artigos que analisam a estrutura a termo das taxas de juros usando diferentes bases de dados e modelos. O capítulo 1 propõe um modelo paramétrico de taxas de juros que permite a segmentação e choques locais na estrutura a termo. Adotando dados do tesouro americano, duas versões desse modelo segmentado são implementadas. Baseado em uma sequência de 142 experimentos de previsão, os modelos propostos são comparados à benchmarks e concluí-se que eles performam melhor nos resultados das previsões fora da amostra, especialmente para as maturidades curtas e para o horizonte de previsão de 12 meses. O capítulo 2 acrescenta restrições de não arbitragem ao estimar um modelo polinomial gaussiano dinâmico de estrutura a termo para o mercado de taxas de juros brasileiro. Esse artigo propõe uma importante aproximação para a série temporal dos fatores de risco da estrutura a termo, que permite a extração do prêmio de risco das taxas de juros sem a necessidade de otimização de um modelo dinâmico completo. Essa metodologia tem a vantagem de ser facilmente implementada e obtém uma boa aproximação para o prêmio de risco da estrutura a termo, que pode ser usada em diferentes aplicações. O capítulo 3 modela a dinâmica conjunta das taxas nominais e reais usando um modelo afim de não arbitagem com variáveis macroeconômicas para a estrutura a termo, afim de decompor a diferença entre as taxas nominais e reais em prêmio de risco de inflação e expectativa de inflação no mercado americano. Uma versão sem variáveis macroeconômicas e uma versão com essas variáveis são implementadas e os prêmios de risco de inflação obtidos são pequenos e estáveis no período analisado, porém possuem diferenças na comparação dos dois modelos analisados.