Map matching by using inertial sensors: literature review

This literature review aims to clarify what is known about map matching by using inertial sensors and what are the requirements for map matching, inertial sensors, placement and possible complementary position technology. The target is to develop a wearable location system that can position itself within a complex construction environment automatically with the aid of an accurate building model. The wearable location system should work on a tablet computer which is running an augmented reality (AR) solution and is capable of track and visualize 3D-CAD models in real environment. The wearable location system is needed to support the system in initialization of the accurate camera pose calculation and automatically finding the right location in the 3D-CAD model. One type of sensor which does seem applicable to people tracking is inertial measurement unit (IMU). The IMU sensors in aerospace applications, based on laser based gyroscopes, are big but provide a very accurate position estimation with a limited drift. Small and light units such as those based on Micro-Electro-Mechanical (MEMS) sensors are becoming very popular, but they have a significant bias and therefore suffer from large drifts and require method for calibration like map matching. The system requires very little fixed infrastructure, the monetary cost is proportional to the number of users, rather than to the coverage area as is the case for traditional absolute indoor location systems.

Calcium bioavailability of raw and extruded amaranth grains

Calcium bioavailability of raw and extruded amaranth grains was assessed in a biological assay in rats. Rats were fed for 28 days on diets in which raw or extruded amaranth was the only calcium source, compared to a control diet with calcium carbonate. Calcium and phosphorous levels were determined in the rats' serum during the experimental period and in the bones at the end of the experiment. Amaranth extrusion increased its calcium bioavailability, assessed by tibia and femur weights and calcium and phosphorous content of the bones. Apparent calcium absorption index, the force needed to break the bones and bone densitometry of both extruded and raw amaranth were the same, though different from the control group. The results show that amaranth can be a complementary source of dietary calcium the bioavailability of which is favorably modified by the extrusion process.

Modeling the water uptake by chicken carcasses during cooling by immersion

In this study, water uptake by poultry carcasses during cooling by water immersion was modeled using artificial neural networks. Data from twenty-five independent variables and the final mass of the carcass were collected in an industrial plant to train and validate the model. Different network structures with one hidden layer were tested, and the Downhill Simplex method was used to optimize the synaptic weights. In order to accelerate the optimization calculus, Principal Component Analysis (PCA) was used to preprocess the input data. The obtained results were: i) PCA reduced the number of input variables from twenty-five to ten; ii) the neural network structure 4-6-1 was the one with the best result; iii) PCA gave the following order of importance: parameters of mass transfer, heat transfer, and initial characteristics of the carcass. The main contributions of this work were to provide an accurate model for predicting the final content of water in the carcasses and a better understanding of the variables involved.

Potential of quixaba (Sideroxylon obtusifolium) latex as a milk-clotting agent

There are several obstacles to the use of chymosin in cheese production. Consequently, plant proteases have been studied as possible rennet substitutes, but most of these enzymes are unsuitable for the manufacture of cheese. The aim of this study was to evaluate the potential of latex from Sideroxylon obtusifolium as a source of milk-clotting proteases and to partially characterize the enzyme. The enzyme extract showed high protease and coagulant activities, with an optimal pH of 8.0 and temperature of 55 °C. The enzyme was stable in wide ranges of temperature and pH. Its activity was not affected by any metal ions tested; but was inhibited by phenylmethanesulfonyl fluoride and pepstatin. For the coagulant activity, the optimal concentration of CaCl2 was 10 µmol L- 1. Polyacrylamide gel electrophoresis showed four bands, with molecular weights between 17 and 64 kDa. These results indicate that the enzyme can be applied to the cheese industry.

Peptide separation of commercial fermented milk during refrigerated storage

Milk is an important source of bioactive compounds. Many of these compounds are released during fermentation and refrigerated storage. The aim of this study was to determine the release of peptides by lactic acid bacteria in commercial fermented milk during refrigerated storage. The size and profile of peptides were analyzed by polyacrylamide gel electrophoresis and sizeexclusion HPLC. During electrophoresis, it was observed that the peptides were released from caseins, whereas β-lactoglobulin was the whey protein with the highest degradation. HPLC analysis confirmed the pattern of peptide formation observed in electrophoresis. Two fractions lower than 2 kDa with aromatic amino acids in their structure were separated. These results were consistent with those reported for structures of peptides with antihypertensive activity. Therefore, the presence of aromatic amino acids in the peptide fractions obtained increases the likelihood of finding peptides with such activity in refrigerated commercial fermented milk. In conclusion, during cold storage, peptides with different molecular weights are released and accumulated. This could be due to the action of proteinases and peptidases of the proteolytic system in lactic acid bacteria.

Review of investment strategy, portfolio management, and scorecard based portfolio selection tool for direct property investments in Finland

The lack of research of private real estate is a well-known problem. Earlier studies have mostly concentrated on the USA or the UK. Therefore, this master thesis offers more information about the performance and risk associated with private real estate investments in Nordic countries, but especially in Finland. The structure of this master thesis is divided into two independent sections based on the research questions. In first section, database analysis is performed to assess risk-return ratio of direct real estate investment for Nordic countries. Risk-return ratios are also assessed for different property sectors and economic regions. Finally, review of diversification strategies based on property sectors and economic regions is performed. However, standard deviation itself is not usually sufficient method to evaluate riskiness of private real estate. There is demand for more explicit assessment of property risk. One solution is property risk scoring. In second section risk scorecard based tool is built to make different real estate comparable in terms of risk. In order to do this, nine real estate professionals were interviewed to enhance the structure of theory-based risk scorecard and to assess weights for different risk factors.

Incidence of green soybean seeds as a function of environmental stresses during seed maturation

Hot and dry weather conditions during soybean [Glycine max (L.) Merrill] seed maturation can cause forced maturation of the seed, resulting in the production of high levels of green seed, which may be detrimental to seed germination. These stressful conditions were imposed on soybean plants during seed maturation to investigate the production of green seeds and seed quality. Plants of the CD 206 cultivar were grown in a greenhouse until the R5.5 growing stage and then transferred to phytotrons at R6 and R7.2 for stress induction. Plants were subjected to two temperature regimes, high (28ºC to 36ºC) and normal (19ºC to 26ºC), and four soil water availability conditions, control (adequate water supply), 30% gravimetric moisture (GM), 20% GM and no water supply. Seed were harvested at R9. Green seed percentages and 100-seed weights from the lower, middle and upper thirds of each plant were determined. Seed quality was assessed by germination, tetrazolium (viability and vigor) and electrical conductivity tests. Occurrence of green seed varied from 9% to 86%, depending on the severity of the stresses imposed. High temperature, coupled with no water supply at R6, resulted in a pronounced occurrence of green seeds. There was no difference in the percentage of green seeds among the plant segments. Seed quality was negatively affected by the incidence of green seeds. A procedure for screening soybean genotypes in a phytotron for their tolerance and/or susceptibility to the production of green seeds was developed.

Performance of lowland rice seeds coated with dolomitic limestone and aluminum silicate

The objective of this study was to evaluate the performance of seeds of two cultivars of lowland rice (Oryza sativa L.), coated with dolomitic limestone and aluminum silicate. It was used a completely randomized experimental design, with the treatments arranged in a 4 X 2 factorial scheme [4 treatments: dolomitic limestone; dolomitic limestone + aluminum silicate; aluminum silicate, at the dosages of 50 g/100 kg of seeds; and control (without the products) X 2 cultivars: IRGA424 and IRGA 422 CL], totaling eight treatments with four replications each. The variables analyzed were: fresh and dry weights of aerial biomass; plant height; leaf area at 10, 20, and 30 days after emergence (DAE). The physiological quality of seeds was also assessed using tests of: seed emergence; first count of germination; emergence speed index; and field emergence. It was concluded that the coating of rice seeds with dolomitic limestone and aluminum silicate does not affect seed germination and field seedling emergence. Aluminum silicate used via seed coating on cultivar IRGA 424 promoted greater leaf area, after 20 DAE. The dolomitic limestone and the aluminum silicate used via seed coating generated plants with larger dry biomass, after 20 DAE, for the cultivar IRGA 422 CL.

PERFORMANCE ANALYSIS OF A TACTICAL ASSET ALLOCATION – Evidence from the Black–Litterman model based fixed income portfolio

Over time the demand for quantitative portfolio management has increased among financial institutions but there is still a lack of practical tools. In 2008 EDHEC Risk and Asset Management Research Centre conducted a survey of European investment practices. It revealed that the majority of asset or fund management companies, pension funds and institutional investors do not use more sophisticated models to compensate the flaws of the Markowitz mean-variance portfolio optimization. Furthermore, tactical asset allocation managers employ a variety of methods to estimate return and risk of assets, but also need sophisticated portfolio management models to outperform their benchmarks. Recent development in portfolio management suggests that new innovations are slowly gaining ground, but still need to be studied carefully. This thesis tries to provide a practical tactical asset allocation (TAA) application to the Black–Litterman (B–L) approach and unbiased evaluation of B–L models’ qualities. Mean-variance framework, issues related to asset allocation decisions and return forecasting are examined carefully to uncover issues effecting active portfolio management. European fixed income data is employed in an empirical study that tries to reveal whether a B–L model based TAA portfolio is able outperform its strategic benchmark. The tactical asset allocation utilizes Vector Autoregressive (VAR) model to create return forecasts from lagged values of asset classes as well as economic variables. Sample data (31.12.1999–31.12.2012) is divided into two. In-sample data is used for calibrating a strategic portfolio and the out-of-sample period is for testing the tactical portfolio against the strategic benchmark. Results show that B–L model based tactical asset allocation outperforms the benchmark portfolio in terms of risk-adjusted return and mean excess return. The VAR-model is able to pick up the change in investor sentiment and the B–L model adjusts portfolio weights in a controlled manner. TAA portfolio shows promise especially in moderately shifting allocation to more risky assets while market is turning bullish, but without overweighting investments with high beta. Based on findings in thesis, Black–Litterman model offers a good platform for active asset managers to quantify their views on investments and implement their strategies. B–L model shows potential and offers interesting research avenues. However, success of tactical asset allocation is still highly dependent on the quality of input estimates.

Static waves in corporate space : characterizing oscillating trading patterns in New York stock exchange

Various researches in the field of econophysics has shown that fluid flow have analogous phenomena in financial market behavior, the typical parallelism being delivered between energy in fluids and information on markets. However, the geometry of the manifold on which market dynamics act out their dynamics (corporate space) is not yet known. In this thesis, utilizing a Seven year time series of prices of stocks used to compute S&P500 index on the New York Stock Exchange, we have created local chart to the corporate space with the goal of finding standing waves and other soliton like patterns in the behavior of stock price deviations from the S&P500 index. By first calculating the correlation matrix of normalized stock price deviations from the S&P500 index, we have performed a local singular value decomposition over a set of four different time windows as guides to the nature of patterns that may emerge. I turns out that in almost all cases, each singular vector is essentially determined by relatively small set of companies with big positive or negative weights on that singular vector. Over particular time windows, sometimes these weights are strongly correlated with at least one industrial sector and certain sectors are more prone to fast dynamics whereas others have longer standing waves.

Pankkien vakavaraisuussääntelyn vaikutus startup-yritysten rahoitukseen

Tutkielman tavoitteena on määrittää, miten pankkien vakavaraisuussääntelyn muuttuminen on vaikuttanut startup-yritysten lainan hintaan ja ehtoihin, sekä tarkastella startup-yritysten muiden rahoitusmahdollisuuksien kehittymistä. Startup-yritysten eri rahoituslähteiden kasvu kootaan lähteiden vuositilastoista. Pankkien vakavaraisuussääntelyä tarkastellaan vertailemalla lainsäädännön tilaa eri vuosina. Sääntelyn vaikutuksia arvioidaan suorittamalla laskuesimerkkejä tietynlaisten pankkien ja startup-yritysten tilanteessa. Lähtöarvot kootaan lainsäädännöstä, tilastoista, tieteellisistä julkaisuista tai asiantuntijahaastattelujen pohjalta. Startup-yritysten luottoluokitukset määritetään käyttämällä Suomen Asiakastieto Oy:n luokitusmallia. Tuloksena tutkielma luo kattavan kuvan pankkien vakavaraisuussääntelyn kehittymisestä ja startup-yritysten rahoituslähteistä. Pankkisektorin ulkopuolinen rahoitus startupeille on kasvanut 2,5 %:n vuosivauhtia vuodesta 2008, josta vertaislainat ovat olleet suuressa roolissa. Lähes 72 % pankkien vähittäislainojen markkinoista on siirtynyt sisäisten luokitusten menetelmään vastuiden riskipainojen laskennassa. Siirtymä uuteen menetelmään aiheuttaa korkopaineita viidesosalle startupeista. 58 %:lle startupeista muutos ei ole ongelma. 42 % startupeista ei voi pienentää potentiaalisen lainan korkoaan edes lainan kokoisella vakuudella. Pääomavaatimusten kasvu ja pankkien siirtyminen uusiin laskentamenetelmiin voi nostaa startup-yrityksen lainan korkoa jopa 15 %.

Rankahakkeen laadunhallinta aumavarastoinnissa

Diplomityössä selvitettiin rankahakeaumojen peittämisen vaikutuksia laatuun voimalaitoksen polttoaineena. Selvityksen kohteena olivat aumojen sisälämpötilat eri kohdissa aumoja sekä hakkeen kosteuden muutos ja kuiva-ainetappiot varastoinnin aikana. Tutkimuksen kohteena olivat Etelä-Savon Energian polttoaineterminaaliin kootut hakeaumat. Aumojen sisäistä lämpötilaa asennettiin mittaamaan yhdeksän lämpötilasensoria kuhunkin aumaan. Hakkeiden kokonaismassat tutkimuksen alussa laskettiin aumoihin purettujen kuormien massoista. Kuormista määritettiin kosteudet ja lämpöarvot standardien mukaisesti. Näytteiden käsittely tapahtui terminaalilla ja niiden kosteus selvitettiin uunikuivausmenetelmällä. Käyttöpaikalle kuljetuksen yhteydessä kuormat punnittiin ja kosteudet mitattiin uudestaan. Tutkimuksen aikana havaittiin langattomien lämpötilasensorien lukemisen hakeaumojen sisältä olevan vaikeaa. Sensorit olivat kuitenkin pääsääntöisesti säilyneet toimintakuntoisina varastoinnin aikana ja niiden sisältämät lämpötilatiedot päästiin lukemaan aumojen purkamisen jälkeen. Tutkimuksen perusteella hakeaumojen peittäminen on kannattavaa. Hake säilyi tutkimuksen ajankohtana peitetyssä aumassa kuivempana kuin peittämättömässä. Hake ei myöskään jäädy peitteen alla yhtä paljon kuin peittämättömänä, mikä parantaa hakkeen käsiteltävyyttä kuormaa tehdessä ja voimalaitoksella. Kuiva-ainetappioista ei voitu esittää luotettavia tuloksia kokeen keskeydyttyä sään takia.

Uuden muoviteollisuustuotteen kehittäminen analyyttista hierarkiaprosessia hyödyntäen

Tämä diplomityö on tehty case yritykselle nimeltä yritys X. Yritys X valmistaa alueelliseen lämmön- ja käyttöveden jakamiseen tarkoitettuja eristettyjä muoviputkia. Viime vuosina yrityksen kilpailijat ovat onnistuneet kehittämään omien vastaavien tuotteidensa ominaisuuksia, minkä seurauksena yritys X:n asema markkinoilla on heikentynyt. Vastauksena kiristyneeseen markkinatilanteeseen yritys X on kehittänyt kolme uutta potentiaalista tuotekonseptia, joista yhtä suunnitellaan kehitettäväksi nykyisen tuotteen rinnalle. Uusien tuotekonseptien keskinäinen vertailu on kuitenkin osoittautunut haasteelliseksi. Tämän työn päätavoitteena on hyödyntää analyyttista hierarkiaprosessia ja antaa sen perusteella suositus parhaan tuotekonseptin valinnasta. Työ sisältää kirjallisen osion, jossa käydään läpi tuotekehitystoimintaa yleisesti sekä esitellään analyyttisen hierarkiaprosessin hyödyntäminen yksityiskohtaisesti. Työn jälkimmäisessä osiossa paneudutaan tarkemmin käytännön ongelmaan ja esitellään kuinka analyyttista hierarkiaprosessia on hyödynnetty yritys X:n tapauksessa. Keskeisinä tuloksina työn lopussa esitellään analyyttisen hierarkiaprosessin avulla määritetyt päätöskriteerien painoarvot, vaihtoehtojen saamat kokonaispainoarvot sekä annetaan suositus uuden tuotekonseptin valinnasta.

Pretraining Convolutional Neural Networks for Visual Recognition

Convolutional Neural Networks (CNN) have become the state-of-the-art methods on many large scale visual recognition tasks. For a lot of practical applications, CNN architectures have a restrictive requirement: A huge amount of labeled data are needed for training. The idea of generative pretraining is to obtain initial weights of the network by training the network in a completely unsupervised way and then fine-tune the weights for the task at hand using supervised learning. In this thesis, a general introduction to Deep Neural Networks and algorithms are given and these methods are applied to classification tasks of handwritten digits and natural images for developing unsupervised feature learning. The goal of this thesis is to find out if the effect of pretraining is damped by recent practical advances in optimization and regularization of CNN. The experimental results show that pretraining is still a substantial regularizer, however, not a necessary step in training Convolutional Neural Networks with rectified activations. On handwritten digits, the proposed pretraining model achieved a classification accuracy comparable to the state-of-the-art methods.

Individual difference factors and men's attraction to female body features /

Existing research on attraction to body features has suggested that men show general preferences for women with lower waist-to-hip ratios (WHR), larger breasts, and slender body weights. The present study intended to expand on this research by investigating several individual difference factors and their potential contribution to variation in what men find attractive in female body features. Two hundred and seventy-three men were assessed for sex-role identity, 2D:4D digit ratios (a possible marker of prenatal exposure to androgens, and thus masculinization), physical attractiveness, early sexual experiences (as indices of early sexual conditioning), and early family attitudes toward body features, as well as their current preferences for WHR, breast size, weight, and height in women. For WHR, as predicted, physical attractiveness, early sexual experiences, and lower (more masculine) right-hand 2D:4D ratios significantly predicted current preferences for more feminine (lower) WHR. Early sexual experiences significantly predicted later preferences for breast size; in addition, more masculine occupational preferences and lower (more masculine) left-hand 2D:4D ratios predicted preferences for larger breasts. Participants' height, education level, Unmitigated Agency (masculinity) scores, and early sexual experiences significantly predicted current preferences for height. Finally, early sexual experiences significantly predicted current preferences for weight. The results suggest that variation in preferences for women's bodily features can be uniquely accounted for by a number of individual difference factors. Strengths and weaknesses of the study, along with implications for future research, are discussed.