The MIIS Eprints Archive: No conditions. Results ordered -Date Deposited. 2016-05-30T10:30:42ZEPrintshttp://www.maths-in-industry.org/images/sitelogo.gifhttp://www.maths-in-industry.org/miis/6372012016-05-16T13:40:51Z2016-05-16T14:08:13Zhttp://www.maths-in-industry.org/miis/id/eprint/695This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6952016-05-16T13:40:51ZFront Matter and Problem StatementsS. MargenovE. VelikovaJ. Revalski2016-05-16T13:31:21Z2016-05-16T13:31:21Zhttp://www.maths-in-industry.org/miis/id/eprint/694This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6942016-05-16T13:31:21ZSpline Intersection ImprovementRendering and simulation software needs many models of reality. Every human has hair and we need to visualize realistic hair. We can model hair with many spline curves. A typical task of the ray tracing method is finding an intersection of spline curves with a ray. We try to find a fast way to calculate the point where the ray intersects the curve.D. AleksovM. PaskovaN. NaidenovP. Marinov2016-05-16T13:26:39Z2016-05-16T13:26:39Zhttp://www.maths-in-industry.org/miis/id/eprint/693This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6932016-05-16T13:26:39ZRigorous and Approximated Solutions of the Consolidation Problem for a Soil Layer with Finite Thickness Under Cyclic Mechanical LoadingP. IlievS. StoykovB. MarkovićM. DatchevaL. YovkovK. LioliosC. MenseidovN. MuethingT. Barciaga2016-05-16T13:22:38Z2016-05-16T13:22:38Zhttp://www.maths-in-industry.org/miis/id/eprint/692This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6922016-05-16T13:22:38ZOptimal Cutting ProblemOne of the tasks of the Construction office of company STOBET Ltd is to create large sheets of paper containing a lot of objects describing a building construction as tables, charts, drawings, etc. For this reason it is necessary to arrange the small patterns in a given long sheet of paper with a minimum wastage.
Another task of the company is to provide a way of cutting a stock material, e.g. given standard steel rods, into different number of smaller sized details in a way that minimizes the wasted material.A. AvdzhievaT. BalabanovG EvtimovD. KirovaH. KostadinovT. TsachevS. ZhelezovaN. Zlateva2016-05-16T13:20:05Z2016-05-16T13:20:05Zhttp://www.maths-in-industry.org/miis/id/eprint/691This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6912016-05-16T13:20:05ZDirect Ascription of Missing Categorical Values in Survey Research DataThe complete datasets are a prerequisite for sustainable analyses, robust an- alytics and unbiased interpretation of results. Missing values in a survey occur when no data value is stored for the variable in an observation. Missing data can have a significant effect on the conclusions that can be drawn from the data. Direct ascription is the process of replacing missing data with predicted values. The aim of this work is to describe an approach to direct ascription of missing categorical values in survey research data based both on the assumption that values in a data set are missing at random and on the implementation of the correspondence analysis.V. KolevV. NonchevaV. ValkovE. IlievaM. Dobreva2016-05-16T13:16:49Z2016-05-16T13:17:09Zhttp://www.maths-in-industry.org/miis/id/eprint/690This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6902016-05-16T13:16:49ZCyber Intelligence in the Era of Big DataThree key moments have to be solved for this complex problem proper ap- proaching: (i) selection of suitable formalism for fast and easy modelling, im- plementing both experts’ data and cyber incidents statistics on past and future cyberattacks trends; (ii) model quantification is necessary to be added, achieving a suitable machine interpretation for discrete optimization; (iii) some probabilistic elements have also to be considered, in order to achieve realistic models, practi- cal implementation decision support, benefitting from the “big data” knowledge context of the task. Practical implementation of these moments will be given further.Z. MinchevG. DukovT. IvanovaK. MihaylovD. BoyadzhievP. MateevM. BojkovaN. Daskalova2016-05-16T13:07:58Z2016-05-16T13:12:49Zhttp://www.maths-in-industry.org/miis/id/eprint/689This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6892016-05-16T13:07:58ZThe 2D/3D Best-Fit ProblemIn computer systems, the best-fit problem can be described as a search for the best transformation matrix to transform input mea- sured points from their coordinate system into a CAD model coordinate system using a criteria function for optimization. For example, if the criterion is Mini- mum Sum of Deviations, we search for a transformation matrix M that minimizes the sum of all distances from an matrix-transformed measure points to a CAD model.V BodurovD. DimovG EvtimovI. GeorgievS HarizanovG NikolovV Pirinski2015-07-08T11:28:12Z2015-07-08T11:28:12Zhttp://www.maths-in-industry.org/miis/id/eprint/687This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6872015-07-08T11:28:12ZElectricity Exchange: Demand Side Unit performance monitoringDemand Side Response management encourages elec- tricity demand reduction during peak hours. One avenue for achieving this is through Demand Side Units (DSUs). These are large electricity consumers who can afford to reduce their demand on the electricity grid when required. Issues with DSUs revolve around verification that the correct demand reduction takes place, with limited monitoring capabilities from the electrical grid operator Eir- Grid. This issue is studied here with the current methods thoroughly analysed and new methods proposed. In this report six different forecasting methods are presented, and their accuracy is compared using two different error metrics. Due to inherent stochasticity in demand it is found that there is no one fore- casting method which is unequivocally best, but the ‘Keep it simple’ weekly and the temperature dependent models are identified as the most promising models to pursue. Initial investigations suggest that a ‘proxy day’ mechanism may be preferable to the current method of verifying that the correct demand reduction takes place.V. BokharaieP. CarrollM. DevineP. FennellJ. GleesonK. HayesG. HunterJ. IdiakW. LeeJ. LynchJ. MasonJ. NowotarskiM. O'ConnellD. O'SullivanJ. TomczykJ. WardL.T. Anson YanP. Finn2015-07-08T11:23:58Z2015-07-08T11:23:58Zhttp://www.maths-in-industry.org/miis/id/eprint/686This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6862015-07-08T11:23:58ZLimerick Wave: Using flywheel technology to convert the power of the waves to electricityS. BurnsM. ChapwanyaC. CumminsP. DellarJ. GiddingsP. GiounanlisP. HicksJ. McCarthySean McGintyK. MoroneyM. NicholasS. O'BrienB. PawlowskaR. RichterM. Foged SchmidtG. ThomasM. VynnyckyB. Yavuz2015-07-08T11:19:07Z2015-07-08T11:19:07Zhttp://www.maths-in-industry.org/miis/id/eprint/685This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6852015-07-08T11:19:07ZOptimisation of bulk carrier loading and dischargeThis report summarises progress made towards the problem submitted by Rusal Aughinish at the 93rd European Study Group with Industry. Rusal Aughinish is a company that refines alumina from bauxite. The problem presented to the study group was to review the percentage of time that the company’s inner berth was occupied and how to minimise this percent- age. A number of different approaches were taken with this aim in mind. Firstly, data supplied by Rusal Aughinish was analysed. This analysis found that there is an optimal loading rate (with respect to eliminating demurrage costs) and suggested bands of optimal ship sizes. Further to these studies, two models of Rusal Aughinish’s shipping process were developed by the group: a simulation model and an analytical model. Both models were found to replicate the shipping process reasonably well and were, hence, used to study alumina output, berth occupancy and demurrage costs.R. CimpeanuM. DevineJ. DonohueG. HockingN. HolohanS. McCarthyS. van Wijk2015-01-19T09:58:03Z2015-05-29T20:18:47Zhttp://www.maths-in-industry.org/miis/id/eprint/683This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6832015-01-19T09:58:03ZPhase Field Formulation for Microstructure Evolution in Oxide CeramicsDavid A. Edwards2015-01-08T17:00:40Z2015-05-29T20:18:44Zhttp://www.maths-in-industry.org/miis/id/eprint/682This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6822015-01-08T17:00:40ZCircular Arc Spline Approximation of Pointwise Curves for Use
<br/>in NC ProgramingA. AvdzhievaD. AleksovI. HristovN. ShegunovP. Marinov2015-01-08T16:56:03Z2015-05-29T20:18:40Zhttp://www.maths-in-industry.org/miis/id/eprint/681This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6812015-01-08T16:56:03ZEffect of the Precipitation of Acid Soap and Alkanoic Acid Crystallites on the Bulk pHG. VelikovaI. GeorgievM. Veneva2015-01-08T16:50:28Z2015-05-29T20:18:36Zhttp://www.maths-in-industry.org/miis/id/eprint/680This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6802015-01-08T16:50:28ZCyber Threats Optimization for e-government ServicesA discrete model of e-government (e-gov) services, encompassing: n different components – state bodies (e.g. ministries, agencies etc., engaged after the legal basis regulations), working during m time intervals are used.
One of the key measures that assure the model reliable work is the prevention from cyber attacks that will block the available e-gov services.
In order to achieve business continuity of these services, a certain amount of funding has to be invested. The correct spending of these funds will assure external interventions block or repairing after passed cyber attacks.V. PolitovZ. MinchevP. CrottiD. BoyadzhievM. BojkovaP. Mateev2015-01-08T16:45:58Z2015-05-29T20:18:32Zhttp://www.maths-in-industry.org/miis/id/eprint/679This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6792015-01-08T16:45:58ZFinding an Effective Metric Used for Bijective S-Box Generation by Genetic AlgorithmsT. BaichevaD. BikovY. BorissovL. LazarovaA. StojanovaL. StoykovaS. Zhelezova2015-01-08T16:41:22Z2015-05-29T20:18:27Zhttp://www.maths-in-industry.org/miis/id/eprint/678This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6782015-01-08T16:41:22ZSmoothing of Well Rates in Subsurface Hydrocarbon Reservoir SimulatorsA common problem in reservoir simulators is the history matching problem, where a number of wells are operated at a prescribed flow rate, measured by the operator. The data provides input to a simulator which then has to match various other measured quantities, such as pressure drop at wells, movement of saturation fronts, water break-out and other. A common problem is that the input data is very rough and if input directly would cause considerable numerical difficulties, such as excessive Newton iterations to converge or excessively small time-steps.O. KounchevM. TodorovD. GeorgievaN. SimeonovV. Kolev2015-01-08T16:35:28Z2015-05-29T20:18:23Zhttp://www.maths-in-industry.org/miis/id/eprint/677This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6772015-01-08T16:35:28ZRelaxation of Surface Tension After a Large Initial PerturbationI. BazhlekovS. DimovaP. HjorthT. IvanovA. SlavovaR. Yordanova2014-12-05T14:52:33Z2015-05-29T20:18:19Zhttp://www.maths-in-industry.org/miis/id/eprint/674This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6742014-12-05T14:52:33ZAgrifood Campaign PlanningThe challenge was to find ways for the players in an agricultural food supply chain to interact in ways that enable the chain to operate more efficiently. What information do they need to exchange, and what incentives need to be in place between them? What software would help the information exchange and responsive actions to take place? The problem was thought about with the UK sugar beet industry as the working example, but similar considerations, with many differences of detail, are expected to apply in other contexts.D.J. AllwrightF. BottaA. GibbsK. Piwarska2014-12-05T14:50:16Z2015-05-29T20:18:15Zhttp://www.maths-in-industry.org/miis/id/eprint/673This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6732014-12-05T14:50:16ZCustomer Focused Price OptimisationTesco want to better understand how to set online prices for their general merchandise (i.e. not groceries or clothes) in the UK. Because customers can easily compare prices from different retailers we expect they will be very sensitive to price, so it is important to get it right. There are four aspects of the problem.
• Forecasting: Estimating the customer demand as a function of the price chosen (especially hard for products with no sales history or infrequent sales).
• Objective function: What exactly should Tesco aim to optimise? Sales volume? Profit? Profit margin? Conversion rates?
• Optimisation: How to choose prices for many related products to optimise the chosen objective function.
• Evalution: How to demonstrate that the chosen prices are optimal, especially to people without a mathematical background.
Aggregate sales data was provided for about 400 products over about 2 years so that quantitive approaches could be tested. For some products competitors’ prices were also provided.L. CaravennaJ. DewynneC. FarmerO. JonesC. O. LundS. MelnikB. PawlowskaE. Wilson2014-12-05T14:41:15Z2015-05-29T20:18:09Zhttp://www.maths-in-industry.org/miis/id/eprint/672This item is in the repository with the URL: http://www.maths-in-industry.org/miis/id/eprint/6722014-12-05T14:41:15ZTrain Positioning Using Video OdometryReliable Data Systems have developed a video-based odometry system that enables trains to measure velocities and distances travelled without the need for trackside infrastructure. The Study Group was asked to investigate ways of improving the accuracy of such a system, and to suggest any improvements that might be made. The work performed in the week followed along these strands: (a). Elimination of errors in video odometery induced by pitch and height; (b) Robust calculation of (i) the train velocity and (ii) the track curvature; (c). Accurate determination of the position of a train on a track by assimilating Curvature information; (d). Determining where on UK’s railway map a train journey takes place, based purely on video odometry and (e). Drawing a track map.R. GowerRobert WhittakerM. D. WykesJ. ChristmasP. BrowneJ. Van lentA. GowerS. Ghosh