Konenäköjärjestelmien ostokriteerit ja laitetoimittajien asiakashankinta

Työn tavoitteena oli edesauttaa Euroelektro International Oy:tä kasvattamaan asiakaskuntaansa löytämällä oikeat lähtökohdat yrityksen markkinoinnin ja myynnin tehostamiselle sekä kannattavien kohdesegmenttien valinnalle. Työssä tehtiin tutkimus, jolla määritettiin yrityksen tyypillinen asiakas, asiakastarpeet, konenäköjärjestelmien ostokriteerit ja –preferenssit sekä ostopäätöksen tekijät ja siihen vaikuttavat henkilöt. Lisäksi selvitettiin, mitkä ovat Euroelektron potentiaalisia ja ei-potentiaalisia teollisuuden aloja. Tutkimuksen tulosten perusteella laadittiin lopuksi yrityksen markkinoinnin ja myynnin kehittämisehdotelma. Tutkimus rajattiin konenäköä jo käyttäviin yrityksiin, konenäön käyttöä suunnitteleviin yrityksiin, yrityksiin, joiden ajateltiin voivan tulevaisuudessa käyttää konenäköä ja yrityksiin, jotka ovat tekemisissä konenäköasiakkaiden kanssa. Markkinointi- ja myyntiprosessien hallintaan yrityksen tulisi kehittää oma seurantaohjelma, jonka avulla valitun markkinointistrategian onnistuneisuutta voitaisiin helposti seurata, sekä laatukäsikirja, mistä löytyisivät standardoidut toimenpidemallit asiakashankintaan, kenttämyyntiin ja myyntiprojektien läpiviemiseen sekä eri toimihenkilöiden toimenkuvaukset ja vastuualueet.

PCC-täyteaineen vaikutus hienopaperin lujuuskäyttäytymiseen nopeassa vetokuormituksessa

Raaka-ainekustannusten minimoimiseksi hienopaperin valmistajat pyrkivät jatkuvasti vähentämään massan havuselluosuutta ja lisäämään paperin täyteainepitoisuutta. PCC:n käyttö hienopaperin täyteaineena on kasvanut viimeisen kymmenen vuoden aikana voimakkaasti. PCC:n etuna on sen joustava valmistusprosessi, jonka olosuhteita säätelemällä voidaan valmistaa hyvin erilaisia tuotteita. PCC:n ominaisuudet, kuten partikkelikoko ja kidemuoto vaikuttavat merkittävästi paperin reologisiin ominaisuuksiin. Täyteaineen vaikutus paperin lujuusominaisuuksiin riippuu oleellisesti siitä, miten täyteaine sijoittuu kuituverkostossa. Lisäksi paperikoneen ajettavuuden turvaamiseksi täyteaineretention tulisi olla riittävän korkealla tasolla. Täyteaineen retentoituminen on hyvin riippuvainen kuitumateriaalin ja täyteaineen ominaisuuksista. Täyteainepitoisuuden lisääminen ja havusellun vähentäminen heikentävät hienopaperin reologisia ominaisuuksia ja vaikuttavat negatiivisesti paperikoneen ajettavuuteen. Varsinkin rainan siirto avoimella viennillä puristinosalta kuivatusosalle voi muodostua ajettavuuden kannalta kriittiseksi kohdaksi. Tämän vuoksi on tärkeää tuntea irrotustapahtumaan ja rainan kireyteen vaikuttavat tekijät. Märän rainan lujuuskäyttäytymistä voidaan tutkia esim. laboratorioarkeista tehtävillä vetolujuus- ja jännitysrelaksaatiomittauksilla. Työn kokeellisessa osassa tutkittiin kahden erityyppisen PCC-täyteaineen vaikutusta hienopaperin vetolujuus- ja relaksaatiokäyttäytymiseen nopeassa vetokuormituksessa. Täyteainepitoisuuden kasvaessa sekä märän että kuivan paperin vetolujuus ja relaksaatiokireys heikkenivät voimakkaasti. Täyteaine myös vähensi havuselluosuuden vaikutusta näihin ominaisuuksiin. PCC:n ominaisuuksilla voitiin hieman vaikuttaa hienopaperin reologisiin ominaisuuksiin, joskin niiden kannalta edullisempi täyteaine antoi paperille huonommat optiset ominaisuudet. Kuiva-ainepitoisuuden kasvaessa paperin vetolujuus ja relaksaatiokireys paranivat eksponentiaalisesti. Tämän perusteella täyteainetyypin vaikutus vedenpoistoon on paperin reologisten ominaisuuksien kannalta tärkeä tekijä.

Natural and synthetic fibres improving tensile strength and elongation of paper products

The theory part of the Master’s thesis introduces fibres with high tensile strength and elongation used in the production of paper or board. Strong speciality papers are made of bleached softwood long fibre pulp. The aim of the thesis is to find new fibres suitable for paper making to increase either tensile strength, elongation or both properties. The study introduces how fibres bond and what kind of fibres give the strongest bonds into fibre matrix. The fibres that are used the in manufacturing of non-wovens are long and elastic. They are longer than softwood cellulose fibres. The end applications of non-wovens and speciality papers are often the same, for instance, wet napkins or filter media. The study finds out which fibres are used in non-wovens and whether the same fibres could be added to cellulose pulp as armature fibres, what it would require for these fibres to be blended in cellulose, how they would bind with cellulose and whether some binding agents or thermal bonding, such as hot calendaring would be necessary. The following fibres are presented: viscose, polyester, nylon, polyethylene, polypropylene and bicomponent fibres. In the empiric part of the study the most suitable new fibres are selected for making hand sheets in laboratory. Test fibres are blended with long fibre cellulose. The test fibres are viscose (Tencel), polypropylene and polyethylene. Based on the technical values measured in the sheets, the study proposes how to continue trials on paper machine with viscose, polyester, bicomponent and polypropylene fibres.

Quality assurance of refuse derived fuel with machine vision

This thesis studies the use of machine vision in RDF quality assurance and manufacturing. Currently machine vision is used in recycling and material detection and some commer- cial products are available in the market. In this thesis an on-line machine vision system is proposed for characterizing particle size. The proposed machine vision system is based on the mapping between image segmenta- tion and the ground truth of the particle size. The results shows that the implementation of such machine vision system is feasible.

A layered JavaScript virtual machine supporting dynamic instrumentation

L’observation de l’exécution d’applications JavaScript est habituellement réalisée en instrumentant une machine virtuelle (MV) industrielle ou en effectuant une traduction source-à-source ad hoc et complexe. Ce mémoire présente une alternative basée sur la superposition de machines virtuelles. Notre approche consiste à faire une traduction source-à-source d’un programme pendant son exécution pour exposer ses opérations de bas niveau au travers d’un modèle objet flexible. Ces opérations de bas niveau peuvent ensuite être redéfinies pendant l’exécution pour pouvoir en faire l’observation. Pour limiter la pénalité en performance introduite, notre approche exploite les opérations rapides originales de la MV sous-jacente, lorsque cela est possible, et applique les techniques de compilation à-la-volée dans la MV superposée. Notre implémentation, Photon, est en moyenne 19% plus rapide qu’un interprète moderne, et entre 19× et 56× plus lente en moyenne que les compilateurs à-la-volée utilisés dans les navigateurs web populaires. Ce mémoire montre donc que la superposition de machines virtuelles est une technique alternative compétitive à la modification d’un interprète moderne pour JavaScript lorsqu’appliqué à l’observation à l’exécution des opérations sur les objets et des appels de fonction.

ATD: a multiplatform for semiautomatic 3-D detection of kidneys and their pathology in real time

This research presents a novel multi-functional system for medical Imaging-enabled Assistive Diagnosis (IAD). Although the IAD demonstrator has focused on abdominal images and supports the clinical diagnosis of kidneys using CT/MRI imaging, it can be adapted to work on image delineation, annotation and 3D real-size volumetric modelling of other organ structures such as the brain, spine, etc. The IAD provides advanced real-time 3D visualisation and measurements with fully automated functionalities as developed in two stages. In the first stage, via the clinically driven user interface, specialist clinicians use CT/MRI imaging datasets to accurately delineate and annotate the kidneys and their possible abnormalities, thus creating “3D Golden Standard Models”. Based on these models, in the second stage, clinical support staff i.e. medical technicians interactively define model-based rules and parameters for the integrated “Automatic Recognition Framework” to achieve results which are closest to that of the clinicians. These specific rules and parameters are stored in “Templates” and can later be used by any clinician to automatically identify organ structures i.e. kidneys and their possible abnormalities. The system also supports the transmission of these “Templates” to another expert for a second opinion. A 3D model of the body, the organs and their possible pathology with real metrics is also integrated. The automatic functionality was tested on eleven MRI datasets (comprising of 286 images) and the 3D models were validated by comparing them with the metrics from the corresponding “3D Golden Standard Models”. The system provides metrics for the evaluation of the results, in terms of Accuracy, Precision, Sensitivity, Specificity and Dice Similarity Coefficient (DSC) so as to enable benchmarking of its performance. The first IAD prototype has produced promising results as its performance accuracy based on the most widely deployed evaluation metric, DSC, yields 97% for the recognition of kidneys and 96% for their abnormalities; whilst across all the above evaluation metrics its performance ranges between 96% and 100%. Further development of the IAD system is in progress to extend and evaluate its clinical diagnostic support capability through development and integration of additional algorithms to offer fully computer-aided identification of other organs and their abnormalities based on CT/MRI/Ultra-sound Imaging.

Felice Gigante, Data Processing Customer Engineer

Felice Gigante a graduate from the New York Trade School Electronics program works on a machine in his job as Data Processing Customer Engineer for the International Business Machines Corp. Original caption reads, "Felice Gigante - Electronices, International Business Machines Corp." Black and white photograph with caption glued to reverse.

Lithography Students

A lithography student at the New York Trade School is shown working on a machine. Black and white photograph.

Controle vetorial para velocidade de um motor de indução trifásico utilizando estimador filtro de Kalman

This paper describes the study, computer simulation and feasibility of implementation of vector control speed of an induction motor using for this purpose the Extended Kalman Filter as an estimator of rotor flux. The motivation for such work is the use of a control system that requires no sensors on the machine shaft, thus providing a considerable cost reduction of drives and their maintenance, increased reliability, robustness and noise immunity as compared to control systems with conventional sensors

Improving minimum quantity lubrication in CBN grinding using compressed air wheel cleaning

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Efeito da colhedora, velocidade e ponto de coleta na contaminação de sementes de soja por fungos

A pesquisa foi realizada com o objetivo de avaliar a qualidade sanitária de sementes de soja cv. Coodetec 217, colhidas por duas colhedoras operando em velocidades e pontos de coleta distintos. O delineamento foi inteiramente casualizado, no esquema fatorial 2x2x2. Os tratamentos foram constituídos por duas máquinas Massey Ferguson (MF 2003 e MF 2004), duas velocidades (4 e 7 Km.h¹) e dois pontos de coleta (tanque graneleiro e saída do tubo de descarga). A sanidade foi avaliada pelo método do papel de filtro, com quatro repetições de 50 sementes. Houve interação significativa para os fatores colhedora e ponto de coleta para a incidência de Penicillium sp. e Fusarium sp., entre colhedora e velocidade para Aspergillus spp., e, entre velocidade e ponto de coleta para Penicillium sp.. A presença de fungos associados às sementes, principalmente, Cladosporium sp. e Fusarium sp., independe do tipo de colhedora. Uma menor contaminação fúngica é observada nas sementes coletadas na saída do tubo de descarga à 4 Km.h-1. Para Fusarium sp., Aspergillus spp., e Penicillium sp. existe uma dependência dos fatores sobre suas incidências nas sementes da cultivar analisada, sob as condições estudadas.

Modelagem de máquina pneumática recolhedora de frutos de café em terreiro usando análise por elementos finitos

Teve-se o objetivo de desenvolver um modelo matemático por meio de análise de elementos finitos, utilizando o programa computacional ANSYS®, versão 5.7, para otimizar o projeto de máquina recolhedora de frutos de café no terreiro. A modelagem da máquina foi realizada com base no levantamento das características aerodinâmicas dos frutos de café e da vazão de ar necessária para o transporte pneumático dos frutos. Foram obtidas, experimentalmente, as pressões estáticas nos dutos da máquina, sendo esses valores comparados com os resultados determinados pelo programa ANSYS, no intuito de validar o modelo. Com base nos resultados numéricos obtidos, concluiu-se que a modelagem desenvolvida apresentou resultados próximos aos determinados experimentalmente, obtendo erro relativo médio nos valores simulados de pressão de 9,2%. Por meio da modelagem, identificaram-se faixas de pressão que dificultariam o transporte pneumático dos frutos de café em alguns pontos da máquina. Esses problemas foram corrigidos e, com isso, o fluxo de ar proporcionado pelo ventilador foi suficiente para succionar os frutos de café no terreiro e transportá-los para dentro do reservatório da máquina. A modelagem desenvolvida atendeu às necessidades propostas no trabalho para o recolhimento dos frutos de café utilizando transporte pneumático eficientemente.

Fadiga de grampos de retenção em prótese parcial removível. Efeito de ligas, espessuras e técnicas de fusão. Parte I.

The authors looked for the verification of the fatigue of retentive clasps utilized on the removable partial denture. According to this, it was idealized and built on assay machine, that through movements, simulate the insertion and removal of the clasp for a pattern tooth, manufactured on cobalt-chromium which has all the preparation normally utilized to the correct confection of this type of prosthesis. It was utilized three different commercial alloys based on cobalt-chromium: L1-Biosil; L2-Steldent; L3-Duracron. It was utilized the T clasp of Roach, with was tested upon three different proportions among width and thickness: E1-1.7;E2-2.0 and E3-2.3 and was casted through two casting techniques: F1-oxygen-gas and F2-oxygen-acetylene. The clasps were tested on the machine, which allowed the reading of the number of insertion and removal cycles made until fatigue appeared. The obtained results were submitted to the statistic analysis and the authors concluded that: a) L3 (Duracrom) obtained the best results followed by L1 (Biosil) and finally L3 (Steldent); b) among the analyzed thickness, the best results were obtained by E3, followed by E2 and after this E1; c) form the casting techniques, F2 gave us the best results.

Monitoring in precision metal drilling process using multi-sensors and neural network

This paper presents a new method to estimate hole diameters and surface roughness in precision drilling processes, using coupons taken from a sandwich plate composed of a titanium alloy plate (Ti6Al4V) glued onto an aluminum alloy plate (AA 2024T3). The proposed method uses signals acquired during the cutting process by a multisensor system installed on the machine tool. These signals are mathematically treated and then used as input for an artificial neural network. After training, the neural network system is qualified to estimate the surface roughness and hole diameter based on the signals and cutting process parameters. To evaluate the system, the estimated data were compared with experimental measurements and the errors were calculated. The results proved the efficiency of the proposed method, which yielded very low or even negligible errors of the tolerances used in most industrial drilling processes. This pioneering method opens up a new field of research, showing a promising potential for development and application as an alternative monitoring method for drilling processes. © 2012 Springer-Verlag London Limited.