Product Development Projects 1994 - 1999

11. Control and modelling

11.1 Active sludge plant supervision and quality control

11.2 Adaptive and intelligent systems in paper machine grade change

11.3 Aggregate quality characteristics and control of their effects with a neural network

11.4 Analyzer-based process control utilising neural networks and fuzzy logic methods

11.5 Application of artificial neural networks in the modelling of cold rolling and heat treatment processes

11.6 Automatic tuning of intelligent controllers (ATIC)

11.7 Comprehensive control of product and process information in electronics production

11.8 Development of a calibration method and new applications

11.9 Dosing control of water treatment chemicals

11.10 Finnotzo – air conditioning system for buses

11.11 Fuzzy logic in Vacon frequency converters

11.12 Higher-level control system for lime kilns

11.13 Integrated neural network and hybrid systems modeller for the hot rolling mill pass schedule calculation system

11.14 Intelligent dosing control system

11.15 Method for measuring the liquid steel level in a basic oxygen furnace (LD-converter)

11.16 Model-CC: neural network technology for process modeling

11.17 Neural networks for material properties

11.18 Neural networks in the control of blast furnace processes

11.19 Opportunities offered by mathematical modelling at Rautaruukki Steel Strip Products

11.20 Paper web break sensitivity indicator (PAJE)

11.21 Prediction of electricity consumption

11.22 Prediction of nozzle clogging - a neural computing approach

11.23 Raw material management from quarry to kiln

11.24 Software toolkit for design of fuzzy applications in industrial automation

11.25 Temperature and moisture control of concrete with fuzzy control

11.26 Tool for realising fuzzy control in commercial SCADA systems

11.27 Use of a neural network to control a separation process

11.28 Use of a neural network in the quality control of particle board production

11.29 Using a neural network for boiler control optimisation; a feasibility study

12. Data analysis and method development

12.1 Associative information processing

12.2 Developing fuzzy logic decision tree software for evaluating country-specific risks

12.3 Empirical modeling and analysis of large quantities of information (STEMMA)

12.4 Extensions and adaptation of Interval Solver for Microsoft Excel

12.5 General neural network tool

12.6 Gold ore modelling using artificial intelligence, The Golden Neuron (TGN)

12.7 Hybrid system for steel production scheduling (HYTTI)

12.8Information flows and adaptive control in the sawmilling business

12.9 Intelligent support system for the use and maintenance of utility networks

12.10 Interval optimization for Microsoft Excel

12.11 Loginet – operational transport optimisation

12.12 Market research using Bayesian networks

12.13 Optimization of transportation and routes

12.14 Self-organizing map technology for the forest industry (ENTIRE)

12.15 Self-organizing map technology for the forest industry 2 (ENTIRE 2 – ENTIRETY)

13. Signal and image processing

13.1 Adaptive image analysis system for paper web inspection

13.2 Dynamic load and weight measuring system

13.3 European licence plates and optical character recognition

13.4 Intelligent alarm management for mobile telecommunication networks

13.5 Knowledge-based alarm processing and fault diagnostics in GSM networks

13.6 Measuring and recognising colours under varying outdoor conditions by a trainable system based on a CCD colour video camera and PC

13.7 Navigating wheelchair

13.8 Neural algorithms for radio communication systems

14. Other product development projects

jukka.iivarinen@hut.fi
http://www.cis.hut.fi/neuronet/Tekes/content3.shtml
Wednesday, 29-Nov-2000 12:47:57 EET