Abstract: A computer implemented method of determining non-intersecting primary and secondary routes between source and destination nodes in a communications network. The communication network represented by a graph data structure of nodes and edges, the edges having a weight corresponding to a resource involved in traversing the edged. The method including: defining a population set of primary routes, wherein each primary route in the population set identifies a secondary route based on a greedy route-finding algorithm applied to the graph having edges in the primary route excluded from the graph, such that the primary and secondary routes are non-intersecting routes through the graph; applying a genetic algorithm to the population set to iteratively select and crossover one or more pairs of primary routes in the population set; and selecting, from the population set, a primary route and corresponding secondary route having a lowest aggregate weight of edges.

Abstract: A method of determining and explaining an artificial intelligence, AI, system employing an opaque model from a local or global point of view, the method comprising the steps of providing an input and a corresponding output of the opaque model; sampling the opaque model around the input to generate training data samples; performing feature selection to determine dominant features generating a Type-2 Fuzzy Logic Model, FLM; training the Type-2 FLM with the training data samples; and inputting the input into the Type-2 FLM to provide an explanation of the output from the opaque model.

Abstract: A computer implemented method of navigating a digital representation of a spatial environment by a user in which a portion of the digital representation is rendered by a rendering computer system for visualization by the user. The method including accessing a digital model of the spatial environment including a specification of each of a plurality of virtual resources in the spatial environment, each specification identifying at least a location of a resource in the spatial environment and at least one trigger criterion for determining when a resource is accessed by the user; monitoring the satisfaction of trigger criteria for the plurality of virtual resources; and responsive to the monitoring, determining the portion of the digital representation for rendering by the rendering computer system for visualization by the user.

Abstract: A computer implemented method to generate a three-dimensional (3D) data model of a two-dimensional (2D) floor plan, the floor plan being constituted as a digital image including indications of types of building elements, is disclosed.

Abstract: A computer implemented method of navigating a digital representation of a spatial environment by a user in which a portion of the digital representation is rendered by a rendering computer system for visualization by the user. The method including accessing a digital model of the spatial environment including a specification of each of a plurality of virtual resources in the spatial environment, each specification identifying at least a location of a resource in the spatial environment and at least one trigger criterion for determining when a resource is accessed by the user; monitoring the satisfaction of trigger criteria for the plurality of virtual resources; and responsive to the monitoring, determining the portion of the digital representation for rendering by the rendering computer system for visualization by the user.

Abstract: This invention provides a method for ranking contextual data of a plurality of data packages in a Knowledge Management System (KMS) as a computer system configured to store information on the maintenance of an apparatus, wherein each data package of the plurality of data packages includes a data part relating to maintenance of the apparatus, a first metadata part for the data part having a first metadata value and representing a first contextual information type and a second metadata part for the data part having a second metadata value and representing a second contextual information type, the method comprising the steps of: receiving a first and second relevance value for the first and second contextual information type respectively for a first data package, wherein the first and second relevance values represent the relevance of the first and second contextual information types of the first data part to the maintenance of the apparatus; receiving a third and fourth relevance value for the first and second

Abstract: A computer implemented method for machine learning including training an autoencoder having a set of input units, a set of output units and at least one set of hidden units, wherein connections between each of the sets of units are provided by way of interval type-2 fuzzy logic systems each including one or more rules, and the fuzzy logic systems are trained using an optimization algorithm; and generating a representation of rules in each of the interval type-2 fuzzy logic systems triggered beyond a threshold by input data provided to the input units so as to indicate the rules involved in generating an output at the output units in response to the data provided to the input units.

Abstract: A computer implemented method of determining non-intersecting primary and secondary routes between source and destination nodes in a communications network. The communication network represented by a graph data structure of nodes and edges, the edges having a weight corresponding to a resource involved in traversing the edged. The method including: defining a population set of primary routes, wherein each primary route in the population set identifies a secondary route based on a greedy route-finding algorithm applied to the graph having edges in the primary route excluded from the graph, such that the primary and secondary routes are non-intersecting routes through the graph; applying a genetic algorithm to the population set to iteratively select and crossover one or more pairs of primary routes in the population set; and selecting, from the population set, a primary route and corresponding secondary route having a lowest aggregate weight of edges.

Abstract: A cooker hotplate control system, to heat to and maintain a foodstuff at a preset temperature the system comprising an electric hotplate; a power input to provide electricity to heat the hot plate and a controller to govern said power input; a temperature sensor to determine the temperature of the hotplate; an infrared sensor spatially separated from and to detect infrared radiation emitted by a foodstuff or a vessel containing a foodstuff on the hotplate; a first processor to determine the temperature of a foodstuff or a vessel from the detected infrared radiation and a first data storage means to store said data; a second processor, the second processor calculating the first and second time derivatives of the temperature data; a first fuzzy logic controller receiving as input the first and second time-derivative data from the second processor and producing an output to the controller, said output governing the amount of power supplied to the hotplate, the first fuzzy logic controller being active to bring a

Abstract: This invention provides a method for ranking contextual data of a plurality of data packages in a Knowledge Management System (KMS) as a computer system configured to store information on the maintenance of an apparatus, wherein each data package of the plurality of data packages includes a data part relating to maintenance of the apparatus, a first metadata part for the data part having a first metadata value and representing a first contextual information type and a second metadata part for the data part having a second metadata value and representing a second contextual information type, the method comprising the steps of: receiving a first and second relevance value for the first and second contextual information type respectively for a first data package, wherein the first and second relevance values represent the relevance of the first and second contextual information types of the first data part to the maintenance of the apparatus; receiving a third and fourth relevance value for the first and second

Abstract: The present invention provides a method which can be used to optimise the delivery of series over communications networks. Tasks which need to executed within a short timescale and those which are not due to be executed for a long time are excluded from the optimisation process. A score is determined, using fuzzy logic, for each task and its related resources and for each resource and its related tasks. This score is then used to determined which tasks should be optimised.

Abstract: A cooker hotplate control system, to heat to and maintain a foodstuff at a preset temperature the system comprising an electric hotplate; a power input to provide electricity to heat the hot plate and a controller to govern said power input; a temperature sensor to determine the temperature of the hotplate; an infrared sensor spatially separated from and to detect infrared radiation emitted by a foodstuff or a vessel containing a foodstuff on the hotplate; a first processor to determine the temperature of a foodstuff or a vessel from the detected infrared radiation and a first data storage means to store said data; a second processor, the second processor calculating the first and second time derivatives of the temperature data; a first fuzzy logic controller receiving as input the first and second time-derivative data from the second processor and producing an output to the controller, said output governing the amount of power supplied to the hotplate, the first fuzzy logic controller being active to bring a

Abstract: A method and apparatus are disclosed for determining behaviour of a plurality of candidate objects in a multi-candidate object scene. The method comprises the steps of frame-by-frame, extracting behaviour features from video data associated with a scene, providing the behaviour features to an input of a recognition module comprising an interval Type 2 Fuzzy Logic (IT2FLS) based recognition model and classifying candidate object behaviour for a plurality of candidate objects in a current frame by selecting a candidate behaviour model having a highest output degree for each candidate object.

Abstract: The present invention provides a method which can be used to optimise the delivery of series over communications networks. Tasks which need to executed within a short timescale and those which are not due to be executed for a long time are excluded from the optimisation process. A score is determined, using fuzzy logic, for each task and its related resources and for each resource and its related tasks. This score is then used to determined which tasks should be optimised.

Abstract: According to a first aspect of the invention there is provided a method of decision-making comprising: a data input step to input data from a plurality of first data sources into a first data bank, analysing said input data by means of a first adaptive artificial neural network (ANN), the neural network including a plurality of layers having at least an input layer, one or more hidden layers and an output layer, each layer comprising a plurality of interconnected neurons, the number of hidden neurons utilized being adaptive, the ANN determining the most important input data and defining therefrom a second ANN, deriving from the second ANN a plurality of Type-1 fuzzy sets for each first data source representing the data source, combining the Type-1 fuzzy sets to create Footprint of Uncertainty (FOU) for type-2 fuzzy sets, modelling the group decision of the combined first data sources; inputting data from a second data source, and assigning an aggregate score thereto, comparing the assigned aggregate score wit

Abstract: This invention relates to a method and controller (1) for optimising energy consumption in a building. More specifically, the present invention describes a method and controller (1) for use in a building having a building management system (BMS) (3). Typically, the BMS (3) has sensors distributed throughout the building to determine the environmental conditions in the building and the BMS controls a heating/cooling system of the building.

Abstract: According to a first aspect of the invention there is provided a method of decision-making comprising: a data input step to input data from a plurality of first data sources into a first data bank, analysing said input data by means of a first adaptive artificial neural network (ANN), the neural network including a plurality of layers having at least an input layer, one or more hidden layers and an output layer, each layer comprising a plurality of interconnected neurons, the number of hidden neurons utilised being adaptive, the ANN determining the most important input data and defining therefrom a second ANN, deriving from the second ANN a plurality of Type-1 fuzzy sets for each first data source representing the data source, combining the Type-1 fuzzy sets to create Footprint of Uncertainty (FOU) for type-2 fuzzy sets, modelling the group decision of the combined first data sources; inputting data from a second data source, and assigning an aggregate score thereto, comparing the assigned aggregate score wit