Teholähdepiirilevyn suunnittelu akkukäyttöiseen laitteeseen

Teholähdepiirilevyn suunnittelu etenkin kooltaan pieneen akkukäyttöiseen laitteeseen on monivaiheinen suunnitteluprosessi. Teholähdetopologioiden valinta levylle määrää heti alkuunsa kuinka vakaata jännitettä levyllä voidaan tuottaa, kuinka suuria tehoja siitä voidaan ottaa, miten paljon häiriöitä levy tuottaa ympäristöönsä ja ennen kaikkea, kun akkukäyttöisestä laitteesta on kysymys, kuinka hyvään hyötysuhteeseen sillä voidaan päästä. Suunnittelun kannalta hakkuriteholähde on teholähdetopologioista vaativin. Tässä työssä paneudutaankin tarkemmin boost-hakkuriteholähteen suunnitteluun. Pelkkä hakkurin komponenttien mitoitus ei takaa teholähteelle parasta mahdollista toimintaa, vaan myös piirilevysuunnittelulla on suuri merkitys. Akkukäyttöisen laitteen teholähdepiirilevyn suunnittelu ei rajoitu yksinomaan teholähteiden suunnitteluun vaan levy sisältää usein myös muuta oheiselektroniikkaa, yleensä ainakin laitteen käynnistyselektroniikan sekä akun latausjärjestelmän. Etenkin akun latausjärjestelmän suunnittelu saattaa muodostua hyvinkin monimutkaiseksi tehtäväksi. Tässä työssä onkin tutkittu muutaman yleisimmän akkutyypin latausmenetelmiä. Työssä suunnitellaan myös käytännössä teholähdepiirilevy akkukäyttöiseen mittalaitteeseen. Levyn toimintaa tutkitaan erinäisin mittauksin, joilla pyritään selvittämään levyn heikkoudet. Näiden heikkouksien pohjalta levystä suunnitellaan paranneltu versio. Tällekin levylle tehdään samat mittaukset kuin edelliselle versiolle, joista selviää parannusten onnistuminen.

Metsäteollisuuslaitoksen puuhuollon ja puutavaran tehdasmittauksen tehokkuus

Työssä pyritään kehittämään mittaristo mittauksen kohteelle, kokoamaan mittausaineisto kohteesta ja etsimään vertailukumppani sekä suorittamaan vertailu yksiköiden välillä. Työn teoriaosa rakennetaan suorituskyvyn mittauksen ja benchmarkingin periaatteista Niiden avulla kehitellään malli mittariston rakentumisesta ja vertailujen suorittamisesta Käytännön osuudessa esitellään case organisaatiot, valitaan ja arvioidaan mittareita, analysoidaan suorituskykyerojen syitä ja tehdään päätelmiä niistä. Suorituskyvyn mittaamisen periaatteita voidaan hyvin yhdistellä muihin kehittämisen työkaluihin. Käytännössä mittariston kehittäminen on laaja projekti ja vaatisi lähes aina työryhmän panoksen. Keskeisen ongelman muodostaa se, että eri yritysten välille on vaikea löytää vertailtavuutta. Vertailujen suorittaminen jäi tässä työssä ainoastaan periaatteiden varaan, koska vertailuaineistoa ei saatu analyysiin.

Classifier combination for in vivo magnetic resonance spectra of brain tumours

In this paper we present a multi-stage classifier for magnetic resonance spectra of human brain tumours which is being developed as part of a decision support system for radiologists. The basic idea is to decompose a complex classification scheme into a sequence of classifiers, each specialising in different classes of tumours and trying to reproducepart of the WHO classification hierarchy. Each stage uses a particular set of classification features, which are selected using a combination of classical statistical analysis, splitting performance and previous knowledge.Classifiers with different behaviour are combined using a simple voting scheme in order to extract different error patterns: LDA, decision trees and the k-NN classifier. A special label named "unknown¿ is used when the outcomes of the different classifiers disagree. Cascading is alsoused to incorporate class distances computed using LDA into decision trees. Both cascading and voting are effective tools to improve classification accuracy. Experiments also show that it is possible to extract useful information from the classification process itself in order to helpusers (clinicians and radiologists) to make more accurate predictions and reduce the number of possible classification mistakes.

Gathering support from rivals: the two rivals case

Two voters must choose between two alternatives. Voters vote in a fixed linear order. If there is not unanimity for any alternative, the procedure is repeated. At every stage, each voter prefers the same alternative to the other, has utilities decreasing with stages, and has an impatience degree representing when it is worth voting for the non-preferred alternative now rather than waiting for the next stage and voting for the preferred alternative. Intuition suggests that the more patient voter will get his preferred alternative. I found that in the unique solution of the sequential voting procedure obtained by backward induction, the first voter get his preferred alternative at the first stage independently from his impatience rate. Keywords: sequential voting, impatience rate, multi-stage voting, unanimity

Customer Driven Order-to-Delivery Process

This thesis was made for a large forest industry company’s business segment. The purpose of the study was to improve the performance of the order-to-delivery process of the business segment. The study proceeded in three phases. The first phase was to define customer expectations in the market. The second phase was to analyse the performance and the operations of the order-to-delivery process, and to define any challenges or problems in serving the customers. The third and final phase was improving the performance of the order-to-delivery process, within the scope defined by the first two phases. The analysis showed that the delivery reliability is an essential but a challenging issue in the case company’s markets. On delivery reliability standpoint, the most challenging factors were the detected information flow distortions within the company as well as in the whole supply chain, and the lack of horizontal control over the multi-stage process.

Hydroksihappojen erotus mustalipeästä nanosuodatuksella

Hydroksihapoille on olemassa useita käyttömahdollisuuksia teollisuudessa, joten niiden hyödyntäminen sellunvalmistuksen sivuvirrasta eli mustalipeästä on suuren kiinnostuksen kohteena. Tässä työssä selvitettiin, onko hydroksihappojen erotus ja puhdistus mustalipeästä mahdollista nanosuodatuksella. Kokeellisessa osassa suodatettiin emäksisen mustalipeän lisäksi hapotettua ja jäähdytyskiteytettyä mustalipeää, johon oli lisätty liuotinta. Mustalipeäsuodatuksissa käytettiin viittä erilaista nanosuodatusmembraania (Microdyn Nadir® NP010 ja NP030, Dow Chemical Company NF-90, Woongjin Chemical NE-70 sekä Ge-Osmonics Desal 5 DK). Kirjallisuusosassa käsiteltiin puun sisältämien yhdisteiden kemiallista koostumusta, sellun valmistuksen pääperiaatteita, mustalipeän ja hydroksihappojen ominaisuuksia sekä hydroksihappojen käyttömahdollisuuksia. Lisäksi tarkasteltiin erilaisia hydroksihappojen erotusmenetelmiä, nanosuodatuksen teoriaa ja prosessiin sopivan membraanin valintakriteerejä. Työn kokeellisessa osassa tutkittiin emäksisen mustalipeän monivaiheisen nanosuodatuksen tehokkuutta hydroksihappojen erotuksessa. Hapotetun ja jäähdytyskiteytetyn mustalipeän suodatuskokeissa tutkittiin erityyppisten membraanien erotuskykyä sekä syötön liuotinlisäyksen vaikutusta hydroksihappojen erottumiseen. Lisäksi tarkasteltiin membraanien kestävyyttä ja foulaantumista suodatusolosuhteissa. Työn tulokset osoittivat, että hydroksihappoja voidaan fraktioida mustalipeästä nanosuodatuksella. Hydroksihappojen fraktiointiin vaikuttaa merkittävästi mustalipeässä käytetyn liuottimen läsnäolo sekä suodatuspaine. Lisäksi koetulosten perusteella havaittiin, että monivaiheisella nanosuodatuksella hydroksihapot läpäisevät membraanin ja permeaattiin saavutetaan puhtaampi happojae.

Estimating the most important criteria for hatching eggs as function of broiler breeders age

This research aimed to compare two female broiler breeder ages during the incubation period regarding management using the Analytic Hierarchy Process method (AHP). This method is characterized by the possibility of analyzing a multicriteria problem and assists a decision making. This study was carried out on a commercial hatchery located in São Paulo, Brazil. Two ages of broiler breeder (42 and 56 weeks) were compared relative to production rate. Production index data were the same in both ages and were submitted to multicriteria decision analysis using the AHP method. The results indicate that broiler breeders of 42 weeks presented better performance than those of 56 week-old. The setter phase (incubation) is more critical than the hatcher. The AHP method was efficient for this analysis and can serve as a methodological basis for future studies to improve the hatchability of broilers eggs.

Comparison of sustainability of technologies for water desalination

The aim of this work is to perform an in-depth overview on the sustainability of several major commercialized technologies for water desalination and to identify the challenges and propose suggestions for the development of water desalination technologies. The overview of those technologies mainly focuses on the sustainability from the viewpoint of total capital investment, total product cost, energy consumption and global warming index. Additionally, a systematic sustainability assessment methodology has been introduced to validate the assessment process. Conclusions are:1) Reverse osmosis desalination (RO) plants are better than multi-stage flash distillation (MSF) desalination plants and multiple-effect distillation (MED) desalination plants from the viewpoint of energy consumption, global warming index and total production cost; 2)Though energy intensive, MSF plants and MED plants secure their advantages over RO plants by lower total capital investment, wider applicability and purer water desalted and they are still likely to flourish in energy-rich area;3) Water production stage and wastewater disposal stage are the two stages during which most pollutant gases are emitted. The water production stage alone contributes approximately 80~90% of the total pollutant gases emission during its life cycle; 4)The total capital cost per m3 desalted water decreases remarkably with the increasing of plant capacity. The differences between the capital cost per m3 desalted water of RO and other desalination plants will decrease as the capacity increases; 5) It is found that utilities costs serve as the major part of the total product cost, and they account for 91.16%, 85.55% and 71.26% of the total product cost for MSF, MED and RO plants, respectively; 6) The absolute superiority of given technology depends on the actual social-economic situation (energy prices, social policies, technology advancements).

Dynamic carbon dioxide liquidization model

In literature CO 2 liquidization is well studied with steady state modeling. Steady state modeling gives an overview of the process but it doesn’t give information about process behavior during transients. In this master’s thesis three dynamic models of CO2 liquidization were made and tested. Models were straight multi-stage compression model and two compression liquid pumping models, one with and one without cold energy recovery. Models were made with Apros software, models were also used to verify that Apros is capable to model phase changes and over critical state of CO 2. Models were verified against compressor manufacturer’s data and simulation results presented in literature. From the models made in this thesis, straight compression model was found to be the most energy efficient and fastest to react to transients. Also Apros was found to be capable tool for dynamic liquidization modeling.

Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-fit in Multivariate Regressions with Application to Asset Pricing Models

We study the problem of testing the error distribution in a multivariate linear regression (MLR) model. The tests are functions of appropriately standardized multivariate least squares residuals whose distribution is invariant to the unknown cross-equation error covariance matrix. Empirical multivariate skewness and kurtosis criteria are then compared to simulation-based estimate of their expected value under the hypothesized distribution. Special cases considered include testing multivariate normal, Student t; normal mixtures and stable error models. In the Gaussian case, finite-sample versions of the standard multivariate skewness and kurtosis tests are derived. To do this, we exploit simple, double and multi-stage Monte Carlo test methods. For non-Gaussian distribution families involving nuisance parameters, confidence sets are derived for the the nuisance parameters and the error distribution. The procedures considered are evaluated in a small simulation experi-ment. Finally, the tests are applied to an asset pricing model with observable risk-free rates, using monthly returns on New York Stock Exchange (NYSE) portfolios over five-year subperiods from 1926-1995.

Brain tumor and brain endothelial cells' response to ionizing radiation and phytochemical treatments

Le glioblastome multiforme (GBM) représente la tumeur cérébrale primaire la plus agressive et la plus vascularisée chez l’adulte. La survie médiane après le diagnostic est de moins d’un an en l’absence de traitement. Malheureusement, 90% des patients traités avec de la radiothérapie après la résection chirurgicale d’un GBM développent une récidive tumorale. Récemment, le traitement des GBM avec radiothérapie et témozolomide, un agent reconnu pour ses propriétés antiangiogéniques, a permis de prolonger la survie médiane à 14,6 mois. Des efforts sont déployés pour identifier des substances naturelles capables d’inhiber, de retarder ou de renverser le processus de carcinogenèse. Epigallocatechin-3-gallate (EGCG), un polyphénol retrouvé dans le thé vert, est reconnu pour ses propriétés anticancéreuses et antiangiogéniques. L’EGCG pourrait sensibiliser les cellules tumorales cérébrales et les cellules endothéliales dérivées des tumeurs aux traitements conventionnels. Le chapitre II décrit la première partie de ce projet de doctorat. Nous avons tenté de déterminer si l’EGCG pourrait sensibiliser la réponse des GBM à l’irradiation (IR) et si des marqueurs moléculaires spécifiques sont impliqués. Nous avons documenté que les cellules U-87 étaient relativement radiorésistantes et que Survivin, une protéine inhibitrice de l’apoptose, pourrait être impliquée dans la radiorésistance des GBM. Aussi, nous avons démontré que le pré-traitement des cellules U-87 avec de l’EGCG pourrait annuler l’effet cytoprotecteur d’une surexpression de Survivin et potentialiser l’effet cytoréducteur de l’IR. Au chapitre III, nous avons caractérisé l’impact de l’IR sur la survie de cellules endothéliales microvasculaires cérébrales humaines (HBMEC) et nous avons déterminé si l’EGCG pouvait optimiser cet effet. Bien que les traitements individuels avec l’EGCG et l’IR diminuaient la survie des HBMEC, le traitement combiné diminuait de façon synergique la survie cellulaire. Nous avons documenté que le traitement combiné augmentait la mort cellulaire, plus spécifiquement la nécrose. Au chapitre IV, nous avons investigué l’impact de l’IR sur les fonctions angiogéniques des HBMEC résistantes à l’IR, notamment la prolifération cellulaire, la migration cellulaire en présence de facteurs de croissance dérivés des tumeurs cérébrales, et la capacité de tubulogenèse. La voie de signalisation des Rho a aussi été étudiée en relation avec les propriétés angiogéniques des HBMEC radiorésistantes. Nos données suggèrent que l’IR altère significativement les propriétés angiogéniques des HBMEC. La réponse aux facteurs importants pour la croissance tumorale et l’angiogenèse ainsi que la tubulogenèse sont atténuées dans ces cellules. En conclusion, ce projet de doctorat confirme les propriétés cytoréductrices de l’IR sur les gliomes malins et propose un nouveau mécanisme pour expliquer la radiorésistance des GBM. Ce projet documente pour la première fois l’effet cytotoxique de l’IR sur les HBMEC. Aussi, ce projet reconnaît l’existence de HBMEC radiorésistantes et caractérise leurs fonctions angiogéniques altérées. La combinaison de molécules naturelles anticancéreuses et antiangiogéniques telles que l’EGCG avec de la radiothérapie pourrait améliorer l’effet de l’IR sur les cellules tumorales et sur les cellules endothéliales associées, possiblement en augmentant la mort cellulaire. Cette thèse supporte l’intégration de nutriments avec propriétés anticancéreuses et antiangiogéniques dans le traitement des gliomes malins pour sensibiliser les cellules tumorales et endothéliales aux traitements conventionnels.

Elastic constants of Ni-Mn-Ga magnetic shape memory alloys

We have measured the adiabatic second order elastic constants of two Ni-Mn-Ga magnetic shape memory crystals with different martensitic transition temperatures, using ultrasonic methods. The temperature dependence of the elastic constants has been followed across the ferromagnetic transition and down to the martensitic transition temperature. Within experimental errors no noticeable change in any of the elastic constants has been observed at the Curie point. The temperature dependence of the shear elastic constant C' has been found to be very different for the two alloys. Such a different behavior is in agreement with recent theoretical predictions for systems undergoing multi-stage structural transitions.

An evaluation of Primary health care system in Kerala

The thesis entitled An Evaluation of Primary Health Care System in Kerala. The present study is intended to examine the working of primary health care system and its impact on the health status of people. The hypothesis tested in the thesis includes, a. The changes in the health profile require reallocation of resources of primary health care system, b. Rate of utilization depends on the quality of services provided by primary health centers, and c. There is a significant decline in the operational efficiency of the primary health care system. The major elements of primary health care stated in the report of AlmaAta International Conference on Primary Health Care (WHO, 1994)” is studied on the basis of the classification of the elements in to three: Preventive, Promotive, and Curative measures. Preventive measures include Maternal and Child Health Care including family Planning. Provision of water and sanitation is reviewed under promotive measures. Curative measures are studied using the disease profile of the study area. Collection of primary data was done through a sample survey, using pre-tested interview schedule of households of the study area. Multi stage random sampling design was used for selecting the sample. The design of the present study is both descriptive and analytical in nature. As far as the analytical tools are concerned, growth index, percentages, ratios, rates, time series analysis, analysis of variance, chi square test, Z test were used for analyzing the data. Present study revealed that no one in these areas was covered under any type of health insurance. Conclusion states that considering the present changes in the health profile, traditional pattern of resource allocation should be altered to meet the urgent health care needs of the people. Preventive and promotive measures like health education for giving awareness among people to change health habits, diet pattern, life style etc. are to be developed. Proper diagnosis and treatment of the disease at the beginning of the stage itself may help to cure majority of disease. For that, Public health policy must ensure the primary health care as enunciated at Alma- Ata international Conference. At the same time Public health is not to be treated as the sole responsibility of the government. Active community participation is an essential means to attain the goals.

A Reinforcement Learning Algorithm to Economic Dispatch Considering Transmission Losses

Reinforcement Learning (RL) refers to a class of learning algorithms in which learning system learns which action to take in different situations by using a scalar evaluation received from the environment on performing an action. RL has been successfully applied to many multi stage decision making problem (MDP) where in each stage the learning systems decides which action has to be taken. Economic Dispatch (ED) problem is an important scheduling problem in power systems, which decides the amount of generation to be allocated to each generating unit so that the total cost of generation is minimized without violating system constraints. In this paper we formulate economic dispatch problem as a multi stage decision making problem. In this paper, we also develop RL based algorithm to solve the ED problem. The performance of our algorithm is compared with other recent methods. The main advantage of our method is it can learn the schedule for all possible demands simultaneously.

Reinforcement Learning approaches to Economic Dispatch problem

This paper presents Reinforcement Learning (RL) approaches to Economic Dispatch problem. In this paper, formulation of Economic Dispatch as a multi stage decision making problem is carried out, then two variants of RL algorithms are presented. A third algorithm which takes into consideration the transmission losses is also explained. Efficiency and flexibility of the proposed algorithms are demonstrated through different representative systems: a three generator system with given generation cost table, IEEE 30 bus system with quadratic cost functions, 10 generator system having piecewise quadratic cost functions and a 20 generator system considering transmission losses. A comparison of the computation times of different algorithms is also carried out.