Panossyöttökasvatusprosessin automatisointi

Tutkimuskäyttöön tarkoitettujen rekombinanttiproteiinien tuottaminen fermentoimalla on yleinen menetelmä bioteollisuudessa. Mikrobit kasvatetaan fermentorissa, joka tarjoaa kontrolloidun kasvuympäristön ja sopivat tuotto-olosuhteet halutulle tuotteelle. Eräs fermentointimuodoista on korkeatuottoinen ja pitkäkestoinen panossyöttökasvatus, jossa saavutetaan panoskavatusta merkittävästi korkeampi solutiheys jatkamalla panosvaiheen jälkeen kasvua rajoittavan substraatin syöttöä. Laboratoriomittakaavassa fermentorikasvatusten tilavuudet vaihtelevat litrasta kymmeniin ja niissä kasvatusta seurataan sekä ohjataan joko fermentorista tai tietokoneesta. Tyypillisessä fermentointiprosessissa operaattori tarkkailee muun muassa vaahdonkorkeutta sekä käynnistää pumppuja olosuhteiden muuttuessa. Tällaiset tehtävät ovat teollisen mittakaavan laitteistoissa usein automatisoituja. Diplomityön tarkoituksena oli päivittää kahden Turun yliopiston biotekniikan laboratoriossa sijaitsevan BioFlo® -sarjan pöytäfermentorin MS-DOS -pohjainen tietokoneohjausohjelma nykyaikaiseksi ja lisätä siihen etäseuranta ja -ohjaus. Ohjelmaan oli tarkoitus liittää erillinen optinen solutiheysanturi, jonka lukemien häiriötä haluttiin myös vähentää signaalinkäsittelyllä. Lisäksi vaahdonestoaineen ja indusorin lisäykset haluttiin automatisoida panossyöttökasvatuksessa. Vaahdonkorkeuden havaitsemisen mahdollisuutta konenäön menetelmin haluttiin selvittää, jotta vaahdonestoaineen automaattiset lisäykset voitaisiin toteuttaa nettikameran syötteen perusteella. Koekasvatuksilla osoitettiin päivitetyn ohjausohjelman toimivan panos- ja panossyöttömuodoilla. Uuden käyttöliittymän avulla pystyttiin automatisoimaan panoskasvatuksen lisäykset ja syöttönopeuden muutokset sekä tunnistamaan kasvatusliuosten vaahdonkorkeutta vaahdonestoaineen lisäykseen riittävällä kahden senttimetrin tarkkuudella. Lisäksi käyttöliittymä mahdollisti kasvatuksen ohjauksen ja seurauksen myös etänä. Työssä kehitetty ohjausohjelma julkaistiin avoimena ohjelmana ilman etä- ja nettikameratoimintoja. Ohjelma toimii hyvin BioFlo® -sarjan fermentorien käyttöliittymänä, mutta avoimen lähdekoodin ansiosta kuka tahansa voi hyödyntää ohjelmaa pohjana myös uusissa projekteissa tai muissa fermentorimalleissa.

'An Artificial Immune System as a Recommender System for Web Sites'

Artificial Immune Systems have been used successfully to build recommender systems for film databases. In this research, an attempt is made to extend this idea to web site recommendation. A collection of more than 1000 individuals' web profiles (alternatively called preferences / favourites / bookmarks file) will be used. URLs will be classified using the DMOZ (Directory Mozilla) database of the Open Directory Project as our ontology. This will then be used as the data for the Artificial Immune Systems rather than the actual addresses. The first attempt will involve using a simple classification code number coupled with the number of pages within that classification code. However, this implementation does not make use of the hierarchical tree-like structure of DMOZ. Consideration will then be given to the construction of a similarity measure for web profiles that makes use of this hierarchical information to build a better-informed Artificial Immune System.

'An Artificial Immune System as a Recommender System for Web Sites'

Artificial Immune Systems have been used successfully to build recommender systems for film databases. In this research, an attempt is made to extend this idea to web site recommendation. A collection of more than 1000 individuals' web profiles (alternatively called preferences / favourites / bookmarks file) will be used. URLs will be classified using the DMOZ (Directory Mozilla) database of the Open Directory Project as our ontology. This will then be used as the data for the Artificial Immune Systems rather than the actual addresses. The first attempt will involve using a simple classification code number coupled with the number of pages within that classification code. However, this implementation does not make use of the hierarchical tree-like structure of DMOZ. Consideration will then be given to the construction of a similarity measure for web profiles that makes use of this hierarchical information to build a better-informed Artificial Immune System.

The RatSLAM project : robot spatial navigation

Rats are superior to the most advanced robots when it comes to creating and exploiting spatial representations. A wild rat can have a foraging range of hundreds of meters, possibly kilometers, and yet the rodent can unerringly return to its home after each foraging mission, and return to profitable foraging locations at a later date (Davis, et al., 1948). The rat runs through undergrowth and pipes with few distal landmarks, along paths where the visual, textural, and olfactory appearance constantly change (Hardy and Taylor, 1980; Recht, 1988). Despite these challenges the rat builds, maintains, and exploits internal representations of large areas of the real world throughout its two to three year lifetime. While algorithms exist that allow robots to build maps, the questions of how to maintain those maps and how to handle change in appearance over time remain open. The robotic approach to map building has been dominated by algorithms that optimise the geometry of the map based on measurements of distances to features. In a robotic approach, measurements of distance to features are taken with range-measuring devices such as laser range finders or ultrasound sensors, and in some cases estimates of depth from visual information. The features are incorporated into the map based on previous readings of other features in view and estimates of self-motion. The algorithms explicitly model the uncertainty in measurements of range and the measurement of self-motion, and use probability theory to find optimal solutions for the geometric configuration of the map features (Dissanayake, et al., 2001; Thrun and Leonard, 2008). Some of the results from the application of these algorithms have been impressive, ranging from three-dimensional maps of large urban strucutures (Thrun and Montemerlo, 2006) to natural environments (Montemerlo, et al., 2003).

Project-based learning using robots with open-source hardware and software

[EN]One of the main issues of the current education system is the lack of student motivation. This aspect together with the permanent change that the Information and Communications Technologies involve represents a major challenge for the teacher: to continuously update contents and to keep awake the student’s interest. A tremendously useful tool in classrooms consists on the integration of projects with participative and collaborative dynamics, where the teacher acts mainly as a guidance to the student activity instead of being a mere knowledge and evaluation transmitter. As a specific example of project based learning, the EDUROVs project consists on building an economic underwater robot using low cost materials, but allowing the integration and programming of many accessories and sensors with minimum budget using opensource hardware and software.

Strategic project evaluation for open pit mining ventures using real options and allied econometric techniques

Open pit mine operations are complex businesses that demand a constant assessment of risk. This is because the value of a mine project is typically influenced by many underlying economic and physical uncertainties, such as metal prices, metal grades, costs, schedules, quantities, and environmental issues, among others, which are not known with much certainty at the beginning of the project. Hence, mining projects present a considerable challenge to those involved in associated investment decisions, such as the owners of the mine and other stakeholders. In general terms, when an option exists to acquire a new or operating mining project, , the owners and stock holders of the mine project need to know the value of the mining project, which is the fundamental criterion for making final decisions about going ahead with the venture capital. However, obtaining the mine project’s value is not an easy task. The reason for this is that sophisticated valuation and mine optimisation techniques, which combine advanced theories in geostatistics, statistics, engineering, economics and finance, among others, need to be used by the mine analyst or mine planner in order to assess and quantify the existing uncertainty and, consequently, the risk involved in the project investment. Furthermore, current valuation and mine optimisation techniques do not complement each other. That is valuation techniques based on real options (RO) analysis assume an expected (constant) metal grade and ore tonnage during a specified period, while mine optimisation (MO) techniques assume expected (constant) metal prices and mining costs. These assumptions are not totally correct since both sources of uncertainty—that of the orebody (metal grade and reserves of mineral), and that about the future behaviour of metal prices and mining costs—are the ones that have great impact on the value of any mining project. Consequently, the key objective of this thesis is twofold. The first objective consists of analysing and understanding the main sources of uncertainty in an open pit mining project, such as the orebody (in situ metal grade), mining costs and metal price uncertainties, and their effect on the final project value. The second objective consists of breaking down the wall of isolation between economic valuation and mine optimisation techniques in order to generate a novel open pit mine evaluation framework called the ―Integrated Valuation / Optimisation Framework (IVOF)‖. One important characteristic of this new framework is that it incorporates the RO and MO valuation techniques into a single integrated process that quantifies and describes uncertainty and risk in a mine project evaluation process, giving a more realistic estimate of the project’s value. To achieve this, novel and advanced engineering and econometric methods are used to integrate financial and geological uncertainty into dynamic risk forecasting measures. The proposed mine valuation/optimisation technique is then applied to a real gold disseminated open pit mine deposit to estimate its value in the face of orebody, mining costs and metal price uncertainties.

Targeting relatives of patients with primary open angle glaucoma: the help the family glaucoma project.

PURPOSE:

To assess the knowledge of patients with open angle glaucoma (OAG) and their family members about OAG risk factors and to study the referral of family members for eye examinations.

DESIGN:

Cross-sectional survey and prospective cohort study.

METHODS:

We interviewed OAG patients (probands) at the Wilmer Eye Institute and their biologically related parents, siblings, and children about their knowledge of OAG risk factors. Qualified family members were offered an eye examination through the EyeCare America program. Three months after initial contact, a follow-up telephone questionnaire determined the outcome of the referral.

RESULTS:

Among 102 probands and 100 (of 230 eligible) family members who were interviewed, there was high awareness that OAG is related to older age (85% both groups). More probands knew of the association with higher intraocular pressure (95%) compared with family (78%). Yet, 21% of both groups were not aware that OAG is hereditary, and only 53% of probands and 30% of family members knew that OAG is more common in certain ethnic groups. Only two-thirds of probands had suggested that family members have an eye examination. Eighty percent of family members had had an eye examination within the last year; of 21 with no recent examination, 66% (13/21) accepted referral.

CONCLUSIONS:

The Help the Family Glaucoma project developed a novel approach to identify those at high-risk for OAG. Screening of relatives of OAG patients deserves further study in a more representative selection of the general population.

A mobile robot platform for open learning based on serious games and remote laboratories

Within the pedagogical community, Serious Games have arisen as a viable alternative to traditional course-based learning materials. Until now, they have been based strictly on software solutions. Meanwhile, research into Remote Laboratories has shown that they are a viable, low-cost solution for experimentation in an engineering context, providing uninterrupted access, low-maintenance requirements, and a heightened sense of reality when compared to simulations. This paper will propose a solution where both approaches are combined to deliver a Remote Laboratory-based Serious Game for use in engineering and school education. The platform for this system is the WebLab-Deusto Framework, already well-tested within the remote laboratory context, and based on open standards. The laboratory allows users to control a mobile robot in a labyrinth environment and take part in an interactive game where they must locate and correctly answer several questions, the subject of which can be adapted to educators' needs. It also integrates the Google Blockly graphical programming language, allowing students to learn basic programming and logic principles without needing to understand complex syntax.

Experimental Modeling and Control Strategies on an Open Mobile Robot Platform PRIM

This research work deals with the problem of modeling and design of low level speed controller for the mobile robot PRIM. The main objective is to develop an effective educational tool. On one hand, the interests in using the open mobile platform PRIM consist in integrating several highly related subjects to the automatic control theory in an educational context, by embracing the subjects of communications, signal processing, sensor fusion and hardware design, amongst others. On the other hand, the idea is to implement useful navigation strategies such that the robot can be served as a mobile multimedia information point. It is in this context, when navigation strategies are oriented to goal achievement, that a local model predictive control is attained. Hence, such studies are presented as a very interesting control strategy in order to develop the future capabilities of the system

PRIM an Open Mobile Robot Platform. Motivation, Present and Future Trends

This paper is focused on the robot mobile platform PRIM (platform robot information multimedia). This robot has been made in order to cover two main needs of our group, on one hand the need for a full open mobile robotic platform that is very useful in fulfilling the teaching and research activity of our school community, and on the other hand with the idea of introducing an ethical product which would be useful as mobile multimedia information point as a service tool. This paper introduces exactly how the system is made up and explains just what the philosophy is behind this work. The navigation strategies and sensor fusion, where machine vision system is the most important one, are oriented towards goal achievement and are the key to the behaviour of the robot

Facilitate international repository networks: the Pan-European OpenAIRE project and the Confederation of Open Access Repositories (COAR)

Primera conferencia. Bibliotecas y Repositorios Digitales: Gestión del Conocimiento, Acceso Abierto y Visibilidad Latinoamericana. (BIREDIAL) Mayo 9 al 11 de 2011. Bogotá, Colombia.

Experiences of technology-rich innovation in European schools within the Open Discovery Space project

Resumen tomado de la publicaci??n

Pose estimation of a humanoid robot using images from a mobile external camera

NOGUEIRA, Marcelo B. ; MEDEIROS, Adelardo A. D. ; ALSINA, Pablo J. Pose Estimation of a Humanoid Robot Using Images from an Mobile Extern Camera. In: IFAC WORKSHOP ON MULTIVEHICLE SYSTEMS, 2006, Salvador, BA. Anais... Salvador: MVS 2006, 2006.