Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain

A fuzzy ruled-based system was developed in this study and resulted in an index indicating the level of uncertainty related to commercial transactions between cassava growers and their dealers. The fuzzy system was developed based on Transaction Cost Economics approach. The fuzzy system was developed from input variables regarding information sharing between grower and dealer on “Demand/purchase Forecasting”, “Production Forecasting” and “Production Innovation”. The output variable is the level of uncertainty regarding the transaction between seller and buyer agent, which may serve as a system for detecting inefficiencies. Evidences from 27 cassava growers registered in the Regional Development Offices of Tupa and Assis, São Paulo, Brazil, and 48 of their dealers supported the development of the system. The mathematical model indicated that 55% of the growers present a Very High level of uncertainty, 33% present Medium or High. The others present Low or Very Low level of uncertainty. From the model, simulations of external interferences can be implemented in order to improve the degree of uncertainty and, thus, lower transaction costs.

Corrosion behaviour of boiler tube materials during combustion of fuels containing Zn and Pb

Många förbränningsanläggningar som bränner utmanande bränslen såsom restfraktioner och avfall råkar ut för problem med ökad korrosion på överhettare och/eller vattenväggar pga. komponenter i bränslena som är korrosiva. För att minimera problemen i avfallseldade pannor hålls ångparametrarna på en relativt låg nivå, vilket drastiskt minskar energiproduktionen. Beläggningarna i avfallseldade pannor består till största delen av element som är förknippade med högtemperaturkorrosion: Cl, S, alkalimetaller, främst K och Na, och tungmetaller som Pb och Zn, och det finns också indikationer av Br-förekomst. Det låga ångtrycket i avfallseldade pannor påverkar också stålrörens temperatur i pannväggarna i eldstaden. I dagens läge hålls temperaturen normalt vid 300-400 °C. Alkalikloridorsakad (KCl, NaCl) högtemperaturkorrosion har inte rapporterats vara relevant vid såpass låga temperaturer, men närvaro av Zn- och Pb-komponenter i beläggningarna har påvisats förorsaka ökad korrosion redan vid 300-400 °C. Vid förbränning kan Zn och Pb reagera med S och Cl och bilda klorider och sulfater i rökgaserna. Dessa tungmetallföreningar är speciellt problematiska pga. de bildar lågsmältande saltblandningar. Dessa lågsmältande gasformiga eller fasta föreningar följer rökgasen och kan sedan fastna eller kondensera på kallare ytor på pannväggar eller överhettare för att sedan bilda aggressiva beläggningar. Tungmetallrika (Pb, Zn) klorider och sulfater ökar risken för korrosion, och effekten förstärks ytterligare vid närvaro av smälta. Motivet med den här studien var att få en bättre insikt i högtemperaturkorrosion förorsakad av Zn och Pb, samt att undersöka och prediktera beteendet och motståndskraften hos några stålkvaliteter som används i överhettare och pannväggar i tungmetallrika förhållanden och höga materialtemperaturer. Omfattande laboratorie-, småskale- och fullskaletest utfördes. Resultaten kan direkt utnyttjas i praktiska applikationer, t.ex. vid materialval, eller vid utveckling av korrosionsmotverkande verktyg för att hitta initierande faktorer och förstå deras effekt på högtemperaturkorrosion.

Puuelementtien teollisen tuotannon kehittäminen

Tavoitteena tässä diplomityössä oli selvittää puuelementtien teollisen tuotannon mahdollisuuksia ja kehityksen tilaa. Millaiset valmiudet puuelementtien valmistajilla on valmistaa rakennuttajien ja rakentajien edellyttämiä suur- ja tilaelementtejä puukerrostaloja varten, millaista tuotekehitystä ja tuotantoinvestointeja tarvitaan kaiken tämän mahdollistamiseksi, mikä on yritysten halukkuus ja resurssit investoida uuteen teknologiaan sekä kuinka voidaan parantaa tuotannon tehokkuutta. Ensin diplomityössä luotiin katsaus puukerrostalorakentamisen historiaan, nykytilaan, kerrostalojärjestelmiin, palomääräyksiin ja ruotsalaiseen puuelementtien valmistamisen kehityksen tilaan. Puuelementtien valmistukseen tutustumisen jälkeen laadittiin kyselylomake tutkimusta varten, joka lähettiin 64:lle puuelementtien valmistajalle. Tutkimukseen vastasi kaikkiaan 20 puuelementtien valmistajaa. Vastausprosentiksi muodostui 31 %. Tutkimuksen perusteella voidaan todeta puuelementtien valmistajien olevan pieniä ja keskisuuria pk-yrityksiä jotka valmistavat puuelementtejä pääasiassa pientaloteollisuudelle. Suomalaisten valmistajien automaation taso ja tekninen osaaminen ei juuri eroa ruotsalaisesta puuelementtien valmistuksesta. Suomessa puuelementtien valmistus puukerrostaloja varten ei ole vielä vakiintunutta samalla tavalla kuten Ruotsissa. Suomessa Puukerrostalokohteita lähtee liikkeelle tällä hetkellä vielä aivan liian vähän. Kilpailukyky ja tehokkuus tulevat kehittymään nopeasti kun teollinen valmistus saadaan riittävän korkealle tasolle.

Rakennuskonepalveluita tuottavan pk-yrityksen investointi- ja kustannusmalli

Tämän tutkimuksen päätavoitteena oli luoda yleisellä tasolla kustannusmalli maarakennuskonepalveluita tuottavien pk-yritysten käyttöön ja käytännön päätöstilanteiden avuksi osana päätöksenteko organisaation ja myyntityötä tekevän portaan kustannustarkkailuun. Mallin luomisen tarkoituksena oli että mallia voidaan helposti muokata erilaisten myyntitilanteiden kannattavuuksien tarkasteluun ja sitä kautta malli luo käyttäjilleen etulyöntiaseman luodessa pitkiä palvelusopimuksia ja erilaisten projektityömaiden myyntisopimuksia simuloimalla kaluston siirtokustannuksia olemassa olevien tiedettyjen kustannustekijöiden toimesta. Teollisuudessa ja palvelujentarjoajapuolella on vastaavia malleja esitetty, mutta erityisesti maarakennuspuolen ja konevuokrauksen kustannuslaskentamalleja ei julkisesta ole juurikaan saatavilla. Työn kustannusmallin muutoksia simuloitiin ja testattiin luomalla erilaisia kysyntäskenaarioita joista yksi esitellään tarkemmin työn testausosiossa. mallilla on helppo kasata kustannusdataa erilaisina yhtälöinä miten uudet työmaat ovat kannattavampia luomalla kokonaisvaltaisesti paljon lisää uusia työkohteita. Kustannusmallin rakentamiselle oli kysyntää ja tärkeänä tietona pidettiin kokonaisvaltaista muutosta ja tietoa millä tehollisilla tunneilla vastaavat hankinnat olisivat kannattavia. Työn teoriaosa pohjautuu pääasiassa hinnoittelun, kannattavuuden ja investointilaskelmien teoriaan, artikkeleihin ja tutkimuksiin sekä kirjoihin. Työn empiirinen osa perustuu arvioihin tämän hetken hintatasoista sekä arvioihin kustannusten kertymisestä maarakennuspalveluita tuottavissa pk-yrityksissä joissa organisaatiokaavio on matala ja toiminta tehokasta. Keskeisimmät tulokset liittyvät siihen miten kustannuksia tulee huomioida erilaisille asiakkaille ja millainen kustannusmalli on käyttökelpoinen eri tilanteissa.

Use of herbicides on turfgrass

In crop production, weeds must be controlled so as not to adversely affect crop yield and crop quality. Thus, a low level of weeds infesting a field, in most instances, is not a problem. Except in sod or seed production, turfgrass does not have a yield component. The value of turfgrass is its inherent aesthetic quality and usability. Aesthetic quality is the beauty and value that turfgrass adds to a managed landscape. Usability can be the durability of a sport field, trueness of golf putting green roll, or reduction in soil loss from water runoff or wind. Any weed presence in turfgrass can decrease the aesthetic quality and usability of turfgrass. Utilizing herbicides is the only way to completely control weeds in a turfgrass stand. While it is possible to reduce weed populations using cultural or mechanical management practices, it is impossible to completely eliminate weeds as can be accomplished with herbicides. This manuscript will review the major herbicides used in turfgrass in the United States with respect to their modes of action, herbicide family, and primary use in turfgrass.

Differential susceptibility of biotypes of conyza sumatrensis to Chlorimuron-ethyl herbicide

Horseweed (Conyza spp.) is an annual weed, infesting soybean crops in southern Brazil, with chlorimuron-ethyl being one of the most commonly used herbicides for its control. However, in recent soybean harvests, an unsatisfactory control of this weed using this herbicide was observed, generating suspicion regarding the selection of resistant biotypes. The objective of this study was to evaluate the susceptibility of horseweed biotypes to the herbicide chlorimuron-ethyl. Two experiments were conducted in a greenhouse; in the first one, the biotypes were selected selected, and the second experiment was arranged in a 5 x 5 factorial in a completely randomized design with four replications. The treatments used in the preparation of the dose response curves were doses of the herbicide chlorimuron-ethyl (0.0, 1.56, 3.13, 6.25, 12.5, and 25 g ha-1), applied on the five horseweed biotypes at the 3-4 leaf growth stage. The variables evaluated were visual control percentage and shoot dry weight, compared to the control without herbicide application, and plant acetolactate accumulation. It was concluded that there is a differential susceptibility among the biotypes at doses of less than 20 g ha-1 (dose response curves), which indicates low-level resistance. The practical consequences are the indications of chlorimuron-ethyl application at the maximum doses recomended and that the practice of rotating mechanisms of action must be used in the chemical weed management of these areas.

Teollinen symbioosi - kansallisen ohjelman toteuttaminen Suomessa Britanniaan verrattuna

This master thesis examines the possibility of implementing a national industrial symbiosis programme in Finland. Industrial symbiosis is a close cooperation between companies in which the actors make use of each other's wastes and by-products as raw materials for pro-cesses. Symbiosis programme aims to promote industrial symbiosis by identifying possible synergies. In the United Kingdom (UK), a national level programme NISP (National Industri-al Symbiosis Programme) has been successfully implemented. This thesis studies whether it would be possible to implement a similar program in Finland. The implementation of the pro-gram in Finland is evaluated by analyzing and comparing Finnish and British business envi-ronments using PESTEL and diamond models. The goal is to identify factors that promote or hinder the implementation of the programme in Finland. Based on this study, it can be said that implementing the programme in Finland is possible. The programme can be carried out in almost the same principles as in the UK, but some char-acteristics of the Finnish business environment, such as the high level of technological know-how, should especially be taken as an advantage. On the other hand, there are features, such as low level domestic demand, which may prevent the implementation of the program unless they are given special attention.

Genetic variability of Prochilodus lineatus (Characiformes, Prochilodontidae) in the upper Paraná river

The genetic variability of the "curimba", Prochilodus lineatus, from three locations in the Paraná river basin, was investigated by starch gel electrophoresis. A total of 160 specimens were analyzed for 19 enzymes, 12 of which permitted successful interpretation of electrophoretic patterns. Eighteen loci were identified and six of them proved to be polymorphic (EST-1*, EST-2*, IDH-1*, PGM-1*, PGM-2*, LDH-2*). Mean heterozygosity was considered high (13%) by comparison with the literature. A low level of differentiation was found among subpopulations, with mean F ST = 0.018. Values of genetic distance and genetic identity suggest that, at least along this stretch of the river, P. lineatus comprises a single breed with high gene flow. This analysis has important implications for fishery management, aquaculture, and conservation of the stocks

Characterization of six rat strains (Rattus norvegicus) by mitochondrial DNA restriction fragment length polymorphism

Restriction fragment length polymorphism (RFLP) was used to examine the extent of mtDNA polymorphism among six strains of rats (Rattus norvegicus) - Wistar, Wistar Munich, Brown Norway, Wistar Kyoto, SHR and SHR-SP. A survey of 26 restriction enzymes has revealed a low level of genetic divergence among strains. The sites of cleavage by EcoRI, NcoI and XmnI were shown to be polymorphic. The use of these three enzymes allows the 6 strains to be classified into 4 haplotypes and identifies specific markers for each one. The percentage of sequence divergence among all pairs of haplotypes ranged from 0.035 to 0.33%, which is the result of a severe population constriction undergone by the strains. These haplotypes are easily demonstrable and therefore RFLP analysis can be employed for genetic monitoring of rats within animal facilities or among different laboratories.

Sotilaspolitiikka Kremlin Olympoksella. Venäjän sotilasreformin diskursiivinen rakentuminen venäläisessä sanomalehdistössä 2008–2012

Tutkimus käsittelee venäläisessä sanomalehdistössä esiintyvää keskustelua Venäjän sotilasreformista. Tutkimuksessa haluttiin selvittää, millaisia diskursseja keskustelussa käytetään sotilasreformin oikeuttamiseksi ja miten ne toimivat vallankäytön välineenä. Tutkimus on monitieteinen. Se antaa vastauksia kielitieteellisessä kehyksessä kielen ja diskurssin roolista päätöksenteossa, yhteiskuntatieteellisessä kehyksessä venäläisestä mediasta ja päätöksentekojärjestelmästä sekä sotatieteellisessä kehyksessä asevoimien kehityksestä ja sotilaspolitiikasta. Tutkimuksen primääriaineisto muodostuu 220 artikkelista, jotka kerättiin yhdeksästä venäläisestä sanomalehdestä vuosien 2008–2012 ajalta. Venäjän johtohenkilöt ja heitä tukevat sanomalehdet oikeuttivat sotilasreformia julkisessa keskustelussa ensisijaisesti viiden syyn avulla: uhkien lisääntymisellä, sodan kuvan muutoksella, asevoimien kalustollisella ja toiminnallisella jälkeenjääneisyydellä, henkilöstön osaamisen alhaisella tasolla ja tarpeella toiminnan järkeistykseen. Sotilasreformin päätöksiä oikeutettiin vetoamalla niiden huolelliseen suunnitteluun, henkilöstön asialliseen kohteluun ja taloudellisten asioiden vakauteen. Sanomalehdistössä esiintyi paljon toisistaan poikkeavia näkemyksiä kehitykseen tarvittavasta suunnasta. Suurin osa kritisoivista diskursseista keskittyi kritisoimaan reformin toteutusta, ei sen olemassaoloa. Kritiikki keskittyi tiedotuksen ja demokraattisen päätöksenteon puutteeseen sekä epäilyksiin reformin valmisteluprosessista. Venäjän asevoimia ja sotilaspolitiikkaa koskevaa uutisointia on ongelmallista tarkastella ilman diskurssikäytäntöjen huomiointia. Venäjän johdon ja sen legitimiteettiä vahvistavien sanomalehtien diskursiivisen vallankäytön tavoitteena on saada Venäjä näyttämään todellisuutta vahvemmalta ja yhtenäisemmältä. Vaikka venäläinen media ja siinä etenkin televisio ei ole vapaata, sanomalehdistö on verrattain hyvä tiedonlähde. Sen varsin monipuolinen omistajuus tutkimusaineiston rajauksen aikana mahdollisti erilaisten näkökulmien esillepääsyn. Analyyttisimmin sotilasreformista uutisoivat ne sanomalehdet, jotka eivät nähneet länsimaita Venäjän uhkana ja representoivat diskursseissaan liberalistisia arvoja kuten avoimuutta ja demokratiaa. Sanomalehdistön vaatimaton rooli venäläisessä mediakentässä heikentää kuitenkin sen vaikuttavuutta yleiseen mielipiteeseen. Sanomalehtien diskurssikäytäntöjen analysointi ideologioiden ja vallankäytön kautta voi tarjota mahdollisuuksia parantaa venäläisen valtionjohdon päätösten ennustettavuutta.

Priming effects of a peripheral visual stimulus in simple and go/no-go tasks

The early facilitatory effect of a peripheral spatially visual prime stimulus described in the literature for simple reaction time tasks has been usually smaller than that described for complex (go/no-go, choice) reaction time tasks. In the present study we investigated the reason for this difference. In a first and a second experiment we tested the participants in both a simple task and a go/no-go task, half of them beginning with one of these tasks and half with the other one. We observed that the prime stimulus had an early effect, inhibitory for the simple task and facilitatory for the go/no-go task, when the task was performed first. No early effect appeared when the task was performed second. In a third and a fourth experiment the participants were, respectively, tested in the simple task and in the go/no-go task for four sessions (the prime stimulus was presented in the second, third and fourth sessions). The early effects of the prime stimulus did not change across the sessions, suggesting that a habituatory process was not the cause for the disappearance of these effects in the first two experiments. Our findings are compatible with the idea that different attentional strategies are adopted in simple and complex reaction time tasks. In the former tasks the gain of automatic attention mechanisms may be adjusted to a low level and in the latter tasks, to a high level. The attentional influence of the prime stimulus may be antagonized by another influence, possibly a masking one.

Semantic and fuzzy modelling for human behaviour recognition in smart spaces : a case study on ambient assisted living.

Human activity recognition in everyday environments is a critical, but challenging task in Ambient Intelligence applications to achieve proper Ambient Assisted Living, and key challenges still remain to be dealt with to realize robust methods. One of the major limitations of the Ambient Intelligence systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the speci c activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. A fuzzy ontology and a semantic hybrid system are presented to allow modelling and recognition of a set of complex real-life scenarios where vagueness and uncertainty are inherent to the human nature of the users that perform it. The handling of uncertain, incomplete and vague data (i.e., missing sensor readings and activity execution variations, since human behaviour is non-deterministic) is approached for the rst time through a fuzzy ontology validated on real-time settings within a hybrid data-driven and knowledgebased architecture. The semantics of activities, sub-activities and real-time object interaction are taken into consideration. The proposed framework consists of two main modules: the low-level sub-activity recognizer and the high-level activity recognizer. The rst module detects sub-activities (i.e., actions or basic activities) that take input data directly from a depth sensor (Kinect). The main contribution of this thesis tackles the second component of the hybrid system, which lays on top of the previous one, in a superior level of abstraction, and acquires the input data from the rst module's output, and executes ontological inference to provide users, activities and their in uence in the environment, with semantics. This component is thus knowledge-based, and a fuzzy ontology was designed to model the high-level activities. Since activity recognition requires context-awareness and the ability to discriminate among activities in di erent environments, the semantic framework allows for modelling common-sense knowledge in the form of a rule-based system that supports expressions close to natural language in the form of fuzzy linguistic labels. The framework advantages have been evaluated with a challenging and new public dataset, CAD-120, achieving an accuracy of 90.1% and 91.1% respectively for low and high-level activities. This entails an improvement over both, entirely data-driven approaches, and merely ontology-based approaches. As an added value, for the system to be su ciently simple and exible to be managed by non-expert users, and thus, facilitate the transfer of research to industry, a development framework composed by a programming toolbox, a hybrid crisp and fuzzy architecture, and graphical models to represent and con gure human behaviour in Smart Spaces, were developed in order to provide the framework with more usability in the nal application. As a result, human behaviour recognition can help assisting people with special needs such as in healthcare, independent elderly living, in remote rehabilitation monitoring, industrial process guideline control, and many other cases. This thesis shows use cases in these areas.

Clinical signs of pneumonia in children: association with and prediction of diagnosis by fuzzy sets theory

The present study compares the performance of stochastic and fuzzy models for the analysis of the relationship between clinical signs and diagnosis. Data obtained for 153 children concerning diagnosis (pneumonia, other non-pneumonia diseases, absence of disease) and seven clinical signs were divided into two samples, one for analysis and other for validation. The former was used to derive relations by multi-discriminant analysis (MDA) and by fuzzy max-min compositions (fuzzy), and the latter was used to assess the predictions drawn from each type of relation. MDA and fuzzy were closely similar in terms of prediction, with correct allocation of 75.7 to 78.3% of patients in the validation sample, and displaying only a single instance of disagreement: a patient with low level of toxemia was mistaken as not diseased by MDA and correctly taken as somehow ill by fuzzy. Concerning relations, each method provided different information, each revealing different aspects of the relations between clinical signs and diagnoses. Both methods agreed on pointing X-ray, dyspnea, and auscultation as better related with pneumonia, but only fuzzy was able to detect relations of heart rate, body temperature, toxemia and respiratory rate with pneumonia. Moreover, only fuzzy was able to detect a relationship between heart rate and absence of disease, which allowed the detection of six malnourished children whose diagnoses as healthy are, indeed, disputable. The conclusion is that even though fuzzy sets theory might not improve prediction, it certainly does enhance clinical knowledge since it detects relationships not visible to stochastic models.

Normal expression of IFN-gammaR in four patients with uncommon mycobacterial infection phenotypes

Several primary immunodeficiency diseases affecting the interleukin 12/interferon gamma (IFN-gamma) pathway have been identified, most of them characterized by recurrent and protracted infections produced by intracellular microorganisms, particularly by several species of mycobacteria. In the present study we analyzed the expression of IFN-gamma receptor (IFN-gammaR) and signal transducer and activator of transcription 1 (STAT-1) in 4 children with Mycobacterium tuberculosis infection of uncommon clinical presentation. These molecules were evaluated by flow cytometry and Western blotting in B cells transformed with Epstein-Barr virus and mutations were scanned by single-strand conformational polymorphisms and DNA sequencing. The expression of IFN-gammaR1 was normal in all 4 patients. The genetic analysis of IFN-gammaR1 and IFN-gammaR2 coding sequences did not reveal any mutation. The expression of the STAT-1 molecule was similar in patients and healthy controls; however, when the phosphorylation of this transcription factor in response to IFN-gamma activation was evaluated by Western blot, a significant lower signal was evident in one patient. These data indicate that there are no alterations in the expression or function of the IFN-gammaR chains in these patients. However, the low level of STAT-1 phosphorylation found in one of these patients might be explained by a defect in one of the molecules involved in the signal transduction pathway after IFN-gamma interacts with its receptor. In the other three patients the inability to eliminate the mycobacteria may be due to a defect in another effector mechanism of the mononuclear phagocytes.

Local Binary Patterns in Focal-Plane Processing. Analysis and Applications

Feature extraction is the part of pattern recognition, where the sensor data is transformed into a more suitable form for the machine to interpret. The purpose of this step is also to reduce the amount of information passed to the next stages of the system, and to preserve the essential information in the view of discriminating the data into different classes. For instance, in the case of image analysis the actual image intensities are vulnerable to various environmental effects, such as lighting changes and the feature extraction can be used as means for detecting features, which are invariant to certain types of illumination changes. Finally, classification tries to make decisions based on the previously transformed data. The main focus of this thesis is on developing new methods for the embedded feature extraction based on local non-parametric image descriptors. Also, feature analysis is carried out for the selected image features. Low-level Local Binary Pattern (LBP) based features are in a main role in the analysis. In the embedded domain, the pattern recognition system must usually meet strict performance constraints, such as high speed, compact size and low power consumption. The characteristics of the final system can be seen as a trade-off between these metrics, which is largely affected by the decisions made during the implementation phase. The implementation alternatives of the LBP based feature extraction are explored in the embedded domain in the context of focal-plane vision processors. In particular, the thesis demonstrates the LBP extraction with MIPA4k massively parallel focal-plane processor IC. Also higher level processing is incorporated to this framework, by means of a framework for implementing a single chip face recognition system. Furthermore, a new method for determining optical flow based on LBPs, designed in particular to the embedded domain is presented. Inspired by some of the principles observed through the feature analysis of the Local Binary Patterns, an extension to the well known non-parametric rank transform is proposed, and its performance is evaluated in face recognition experiments with a standard dataset. Finally, an a priori model where the LBPs are seen as combinations of n-tuples is also presented