Minimum error contrast enhancement

Contrast enhancement is an image processing technique where the objective is to preprocess the image so that relevant information can be either seen or further processed more reliably. These techniques are typically applied when the image itself or the device used for image reproduction provides poor visibility and distinguishability of different regions of interest inthe image. In most studies, the emphasis is on the visualization of image data,but this human observer biased goal often results to images which are not optimal for automated processing. The main contribution of this study is to express the contrast enhancement as a mapping from N-channel image data to 1-channel gray-level image, and to devise a projection method which results to an image with minimal error to the correct contrast image. The projection, the minimum-error contrast image, possess the optimal contrast between the regions of interest in the image. The method is based on estimation of the probability density distributions of the region values, and it employs Bayesian inference to establish the minimum error projection.

Agent-augmented process automation system in a panel board factory

Kiristyvä kansainvälinen kilpailu pakottaa automaatiojärjestelmien valmistajat ottamaan käyttöön uusia menetelmiä, joiden avulla järjestelmien suorituskykyä ja joustavuutta saadaan parannettua. Agenttiteknologiaa on esitetty käytettäväksi olemassa olevien automaatiojärjestelmien kanssa vastaamaan automaatiolle asetettaviin uusiin haasteisiin. Agentit ovat itsenäisiä yhteisöllisiä toimijoita, jotka suorittavat niille ennalta määrättyjä tehtäviä. Ne tarjoavat yhtenäisen kehyksen kehittyneiden toimintojen toteutukselle. Agenttiteknologian avulla automaatiojärjestelmä saadaan toimimaan joustavasti ja vikasietoisesti. Tässä työssä selostetaan agenttiteknologian ajatuksia ja käsitteitä. Lisäksi selvitetään sen soveltuvuutta monimutkaisten ohjausjärjestelmien kehittämiseen ja etsitään käyttökohteita sen soveltamiselle levytehtaassa. Työssä käsitellään myös aatteita, jotka ovat johtaneet agenttiteknologian käyttöön automaatiojärjestelmissä, sekä selostetaan agenttiavusteisen esimerkkisovelluksen rakenne ja testitulokset. Tutkimuksen tuloksena löydettiin useita kohteita agenttiteknologian käytölle levytehtaassa. Esimerkkisovellus osoittaa sen sopivan hyvin kehittyneiden toimintojen toteutukseen automaatiojärjestelmissä.

Data Collection Agent Framework

Ohjelmistoteollisuudessa pitkiä ja vaikeita kehityssyklejä voidaan helpottaa käyttämällä hyväksi ohjelmistokehyksiä (frameworks). Ohjelmistokehykset edustavat kokoelmaa luokkia, jotka tarjoavat yleisiä ratkaisuja tietyn ongelmakentän tarpeisiin vapauttaen ohjelmistokehittäjät keskittymään sovelluskohtaisiin vaatimuksiin. Hyvin suunniteltujen ohjelmistokehyksien käyttö lisää suunnitteluratkaisujen sekä lähdekoodin uudelleenkäytettävyyttä enemmän kuin mikään muu suunnittelulähestymistapa. Tietyn kohdealueen tietämys voidaan tallentaa ohjelmistokehyksiin, joista puolestaan voidaan erikoistaa viimeisteltyjä ohjelmistotuotteita. Tässä diplomityössä kuvataan ohjelmistoagentteihin (software agents) perustuvaa ohjelmistokehyksen suunnittelua toteutusta. Pääpaino työssä on vaatimusmäärittelyä vastaavan suunnitelman sekä toteutuksen kuvaaminen ohjelmistokehykselle, josta voidaan erikoistaa erilaiseen tiedonkeruuseen kykeneviä ohjelmistoja Internet ympäristöön. Työn kokeellisessa osuudessa esitellään myös esimerkkisovellus, joka perustuu työssä kehitettyyn ohjelmistokehykseen.

Targeted ablation of gonadotropin dependent endocrine tumors in transgenic mice through their luteinizing hormone receptor (LHR)

Gonadal somatic cell and adrenocortical endocrine tumors are rare. The incidence of adrenocortical carcinomas is only 1-2/1000000 a year. However, they are aggressive, especially in adulthood and currently surgery is the only curative treatment. Cytotoxic agents are in use in advanced cancers, but side effects and multidrug resistance are often problems. Thus there is a need for novel curative treatment methods. In contrast, ovarian granulosa cell tumors and testicular Leydig cell tumors are usually benign, especially at a younger age. The aim of the present thesis was to study a novel targeted treatment method through luteinizing hormone/chorionic gonadotropin receptor (LHCGR) in a transgenic mouse tumor model. The cytotoxic agent was lytic peptide Hecate-CGbeta conjugate where 23 amino acid Hecate, a synthetic form of honeybee venom melittin, was conjugated to 15 amino acid fragment of human chorionic gonadotropin β subunit. Lytic peptides are known to act only on negatively charged cells, such as bacteria and cancer cells and hereby, due to hCGbeta fragment, the conjugate is able to bind directly to LHCGR bearing cancer cells, saving the healthy ones. The experiments were carried out in inhibin-alpha-Simian Virus 40-T-antigen transgenic mice that are known to express LHCGR-bearing gonadal tumors, namely Leydig and granulosa cell tumors by 100% penetrance. If the mice are gonadectomized prepubertally they form adrenocortical tumors instead. Transgenic and wild type mice were treated for three consecutive weeks with control vehicle, Hecate or Hecate-CGbeta conjugate. GnRH antagonist or estradiol was given to a group of mice with or without Hecate-CGbeta conjugate to analyze the additive role of gonadotropin blockage in adrenocortical tumor treatment efficacy. Hecate-CGbeta conjugate was able to diminish the gonadal and adrenal tumor size effectively in males. No treatment related side effects were found. Gonadotropin blockage through GnRH antagonist was the best treatment in female adrenal tumors. The mode of cell death by Hecate-CGbeta conjugate was proven to be through necrosis. LHCGR and GATA-4 were co-expressed in tumors, where the treatment down-regulated their expression simultaneously, suggesting their possible use as tumor markers. In conclusion, the present thesis showed that Hecate-CGbeta conjugate targets its action selectively through LHCGR and selectively kills the LHCGR bearing tumor cells. It works both in gonadal somatic and in ectopic LHCGR bearing adrenal tumors. These results establish a more general principle that receptors expressed ectopically in malignant cells can be exploited in targeted cytotoxic therapies without affecting the normal healthy cells.

Rahoitusvälineiden markkinat -direktiivin (MiFID) vaikutukset sijoituspalvelun tarjoajan velvollisuuksiin ja sijoittajansuojaan

Tutkielmassa selvitetään rahoitusvälineiden markkinat -direktiivin vaikutuksia sijoituspalvelun tarjoajan velvollisuuksiin ja sijoittajansuojaan oikeusdogmaattisen metodin avulla. Tutkielmassa pyritään vastaamaan seuraaviin kysymyksiin: 1) Millainen merkitys MIFID-direktiivillä on Euroopan unionin rahoitusmarkkinoiden integraatiolle? 2) Mitä velvollisuuksia sijoituspalvelun tarjoajalla on MiFID-direktiivin implementoinnin jälkeen? 3) Millainen sijoittajansuoja on MiFID-direktiivin seurauksena? 4) Mitä mahdollisia puutteita sijoittajansuojassa on, ja miten säädäntöä tulisi kehittää? MiFID-direktiivi edistää merkittävästi EU:n rahoitusmarkkinoiden integrointia. MiFID helpottaa pääomien ja sijoituspalvelujen liikkuvuutta jäsenvaltioiden rajojen yli. Sijoituspalvelun tarjoajan menettelytapavelvollisuudet ovat lisääntyneet, minkä johdosta sijoittajansuoja on parantunut. Etenkin direktiivin selonotto- ja tiedonantovelvollisuus aiheuttavat transaktiokustannuksia, mutta vähentävät toisaalta palvelun tarjoajan ja asiakkaan välistä neoklassista oikeustaloustieteellistä informaation epäsymmetriaa. Selonottovelvollisuuden sääntelyä EU:ssa kehitettäessä tulee kansallisia menettelytapoja yhdenmukaistaa. Kun palvelun tarjoajat täyttävät tiedonantovelvollisuuttaan, ei-ammattimaiset asiakkaat saattavat joutua informaatiotulvaan, josta jotkut eivät kykene erottamaan merkityksellisiä tietoja. Menettelytapojen nykyinen paras toteutus -velvollisuus on tulkinnanvarainen. Sijoitusneuvontaa koskee päämies–agentti-teorian mukainen valvontaongelma, minkä takia palvelun tarjoajan ja sijoittajan intressit tulisi säädännön avulla saada nykyistä yhteneväisemmiksi. MiFIDin säädökset eivät välttämättä johda ei-ammattimaisten asiakkaiden saaman informaation optimaaliseen allokointiin eivätkä informaatiokustannusten tehokkaaseen kohdistumiseen. Monimutkaisten rahoitusinstrumenttien käsitettä tulisi tarkentaa ja kyseisiä tuotteita tarjota ainoastaan ammattimaisille asiakkaille ja hyväksyttäville vastapuolille. Sijoittajansuojaa lisäisi heterogeenisen ei-ammattimaisten asiakkaiden ryhmän jako informaatiotarpeeseen perustuviin alaryhmiin, jotta eri asiakasryhmille voitaisiin tarjota heidän tarvitsemansa palvelu nykyistäkin kohdentuvammin. Tulisi selvittää, pitäisikö varoitus pääoman menettämisestä merkitä niihin sijoitustuotteisiin, joita riski koskee. Yhteinen eurooppalainen valvontaorganisaatio ilmeisesti voimistaisi rahoitusmarkkinoiden transparenssia, toimivuutta ja sijoittajansuojaa.

Fraud detection in the banking sector : a multi-agent approach

Fraud is an increasing phenomenon as shown in many surveys carried out by leading international consulting companies in the last years. Despite the evolution of electronic payments and hacking techniques there is still a strong human component in fraud schemes. Conflict of interest in particular is the main contributing factor to the success of internal fraud. In such cases anomaly detection tools are not always the best instruments, since the fraud schemes are based on faking documents in a context dominated by lack of controls, and the perpetrators are those ones who should control possible irregularities. In the banking sector audit team experts can count only on their experience, whistle blowing and the reports sent by their inspectors. The Fraud Interactive Decision Expert System (FIDES), which is the core of this research, is a multi-agent system built to support auditors in evaluating suspicious behaviours and to speed up the evaluation process in order to detect or prevent fraud schemes. The system combines Think-map, Delphi method and Attack trees and it has been built around audit team experts and their needs. The output of FIDES is an attack tree, a tree-based diagram to ”systematically categorize the different ways in which a system can be attacked”. Once the attack tree is built, auditors can choose the path they perceive as more suitable and decide whether or not to start the investigation. The system is meant for use in the future to retrieve old cases in order to match them with new ones and find similarities. The retrieving features of the system will be useful to simplify the risk management phase, since similar countermeasures adopted for past cases might be useful for present ones. Even though FIDES has been built with the banking sector in mind, it can be applied in all those organisations, like insurance companies or public organizations, where anti-fraud activity is based on a central anti-fraud unit and a reporting system.

A simulation model of the optimal maintenance strategy: conceptual agent-based approach

In this Master’s thesis agent-based modeling has been used to analyze maintenance strategy related phenomena. The main research question that has been answered was: what does the agent-based model made for this study tell us about how different maintenance strategy decisions affect profitability of equipment owners and maintenance service providers? Thus, the main outcome of this study is an analysis of how profitability can be increased in industrial maintenance context. To answer that question, first, a literature review of maintenance strategy, agent-based modeling and maintenance modeling and optimization was conducted. This review provided the basis for making the agent-based model. Making the model followed a standard simulation modeling procedure. With the simulation results from the agent-based model the research question was answered. Specifically, the results of the modeling and this study are: (1) optimizing the point in which a machine is maintained increases profitability for the owner of the machine and also the maintainer with certain conditions; (2) time-based pricing of maintenance services leads to a zero-sum game between the parties; (3) value-based pricing of maintenance services leads to a win-win game between the parties, if the owners of the machines share a substantial amount of their value to the maintainers; and (4) error in machine condition measurement is a critical parameter to optimizing maintenance strategy, and there is real systemic value in having more accurate machine condition measurement systems.

Isolation and Characterization of Ovomucin - a Bioactive Agent of Egg White

The hen’s egg is a source of new life. Therefore, it contains many biologically active compounds. In addition to being a very nutritious food and also commonly used in the food industry due to its many techno-functional properties, the egg can serve as a source of compounds used as nutra-, pharmaand cosmeceuticals. One such interesting compound is ovomucin, an egg white protein responsible for the gel-like properties of thick egg white. Previous studies have indicated that ovomucin and ovomucin-derived peptides have several different bioactive properties. The objectives of the present study were to develop isolation methods for ovomucin, to characterize the structure of ovomucin, to compare various egg fractions as sources of ovomucin, to study the effects of various dissolving methods for ovomucin, and to investigate the bioactive properties of ovomucin and ovomucin-derived peptides. A simple and rapid method for crude ovomucin separation was developed. By using this method crude ovomucin was isolated within hours, compared to the 1-2 days (including a dialysis step) needed when using several other methods. Structural characterization revealed that ovomucin is composed of two subunits, α- and β-ovomucin, as egg white protein formerly called α1-ovomucin seemed to be ovostatin. However, it might be possible that ovostatin is associated within β- and α-ovomucin. This interaction could even have some effect on the physical nature of various egg white layers. Although filtration by-product fraction was a very prominent source of both crude and β-ovomucin, process development has reduced its amount so significantly that it has no practical meaning anymore. Thus, the commercial liquid egg white is probably the best option, especially if it generally contains amounts of β-ovomucin as high as were found in these studies. Crude ovomucin was dissolved both by using physical and enzymic methods. Although sonication was the most effective physical method for ovomucin solubilisation, colloid milling seemed to be a very promising alternative. A milk-like, smooth and opaque crude ovomucin suspension was attained by using a colloid mill. The dissolved ovomucin fractions were further tested for bioactive properties, and it was found that three dissolving methods tested produced moderate antiviral activity against Newcastle disease virus, namely colloid milling, enzymatic hydrolysis and a combination of sonicaton and enzymatic hydrolysis. Moreover, trypsin-digested crude ovomucin was found to have moderate antiviral activity against avian influenza virus: both subtype H5 and H7.

Agent-based management systems for many-core platforms : rigorous design and efficient implementation

Due to various advantages such as flexibility, scalability and updatability, software intensive systems are increasingly embedded in everyday life. The constantly growing number of functions executed by these systems requires a high level of performance from the underlying platform. The main approach to incrementing performance has been the increase of operating frequency of a chip. However, this has led to the problem of power dissipation, which has shifted the focus of research to parallel and distributed computing. Parallel many-core platforms can provide the required level of computational power along with low power consumption. On the one hand, this enables parallel execution of highly intensive applications. With their computational power, these platforms are likely to be used in various application domains: from home use electronics (e.g., video processing) to complex critical control systems. On the other hand, the utilization of the resources has to be efficient in terms of performance and power consumption. However, the high level of on-chip integration results in the increase of the probability of various faults and creation of hotspots leading to thermal problems. Additionally, radiation, which is frequent in space but becomes an issue also at the ground level, can cause transient faults. This can eventually induce a faulty execution of applications. Therefore, it is crucial to develop methods that enable efficient as well as resilient execution of applications. The main objective of the thesis is to propose an approach to design agentbased systems for many-core platforms in a rigorous manner. When designing such a system, we explore and integrate various dynamic reconfiguration mechanisms into agents functionality. The use of these mechanisms enhances resilience of the underlying platform whilst maintaining performance at an acceptable level. The design of the system proceeds according to a formal refinement approach which allows us to ensure correct behaviour of the system with respect to postulated properties. To enable analysis of the proposed system in terms of area overhead as well as performance, we explore an approach, where the developed rigorous models are transformed into a high-level implementation language. Specifically, we investigate methods for deriving fault-free implementations from these models into, e.g., a hardware description language, namely VHDL.

Animal Spirits in Financial Markets: Agent-Based Model

In this work an agent based model (ABM) was proposed using the main idea from the Jabłonska-Capasso-Morale (JCM) model and maximized greediness concept. Using a multi-agents simulator, the power of the ABM was assessed by using the historical prices of silver metal dating from the 01.03.2000 to 01.03.2013. The model results, analysed in two different situations, with and without maximized greediness, have proven that the ABM is capable of explaining the silver price dynamics even in utmost events. The ABM without maximal greediness explained the prices with more irrationalities whereas the ABM with maximal greediness tracked the price movements with more rational decisions. In the comparison test, the model without maximal greediness stood as the best to capture the silver market dynamics. Therefore, the proposed ABM confirms the suggested reasons for financial crises or markets failure. It reveals that an economic or financial collapse may be stimulated by irrational and rational decisions, yet irrationalities may dominate the market.