Abstract: A toy system comprising a plurality of toy construction elements, having detachably interconnecting coupling members for creating coherent spatial structures. The plurality of toy construction elements include: an energy source device comprising a housing and an energy transfer circuit therein; and energy distribution devices to provide respective external conductive loops extending outside the housing and defining a respective external energy transfer zone in a proximity of the respective external conductive loops. The energy source device is configured to be brought into operational connection with the energy distribution devices.

Abstract: An interactive toy, system, and method of controlling the same. The interactive toy includes a toy housing comprising therein a function device performing user-perceptible, controllable functions; a control circuit controlling the function device; a rechargeable power source providing operating power to the function device and the control circuit; and a charging circuit for contactless receipt of electrical energy and for charging the rechargeable power source when the interactive toy is positioned in a charging zone of a contactless charging device. The control circuit receives a primary signal indicative of an interaction stimulus; a secondary signal indicative of a position of the interactive toy with respect to the charging zone; and, responsive to the primary signal, controls the function device to perform a user-perceptible function selected based on the secondary signal. The interactive toy system includes an interactive toy and a contactless charging device defining one or more charging zones.

Abstract: A modular toy system comprising a plurality of separate electronic toy modules, each electronic toy module comprising a function device operable to perform a user-perceptible function and a control circuit for controlling the function device; wherein at least a first electronic toy module of the plurality of electronic toy modules comprises a first control circuit, a first function device and a sensor system configured for contactless detection of respective coordinate values of at least two coordinates, each coordinate being indicative of a position or an orientation of at least a second electronic toy module of the plurality of electronic toy modules relative to the first electronic toy module; and wherein the first control circuit is configured to control operation of the first function device based on one or more of the detected coordinate values.

Abstract: A toy construction system comprising a plurality of toy construction elements including a plurality of function construction elements. The toy construction elements and the function construction elements are detachably interconnected with each other forming a toy construction model. The toy construction model comprising at least a subset of the plurality of toy construction elements; each function construction element comprising a function device adapted to perform a user-perceptible function. The toy construction system further comprises a tag construction element detachably connectable to one or more of the toy construction elements. The tag construction element and the function construction elements are configured for communication of configuration data from the tag construction element to each of the subset of function construction elements when the tag construction element is connected to a toy construction element.

Abstract: A method to measure sound-producing behaviors of a subject with a power- and bandwidth-limited electronic device that includes a processor includes measuring, by a microphone communicatively coupled to the processor, sound in a vicinity of the subject to generate an audio data signal that represents the sound. The method also includes measuring, by at least one second sensor communicatively coupled to the processor, at least one parameter other than sound to generate at least a second data signal that represents the at least one parameter other than sound. The method also includes detecting one or more sound-producing behaviors of the subject based on: both the audio data signal and the second data signal; or information derived from both the audio data signal and the second data signal.

Abstract: An electronic lock device according to one embodiment includes a first magnetometer, a second magnetometer, a dynamic ferromagnetic component positioned between the first magnetometer and the second magnetometer, a processor, and a memory comprising a plurality of instructions stored thereon that, in response to execution by the processor, causes the electronic lock device to read sensor data from the first magnetometer and the second magnetometer, modify the sensor data to generate compensated sensor data that compensates for magnetic noise generated by the dynamic ferromagnetic component, and determine whether the door is in a closed state or an open state based on the compensated sensor data.

Abstract: The present invention relates to a computer implemented method of determining optimal business metrics from a product mix constrained by at least physical shelf space and selectively by at least one business rule. The computer implemented method comprising the steps of defining a boundary constrained shelf space, placing, physically, a product mix within the boundary constrained shelf space, and creating a product mix ranking based, in part, on prior sales of each of the product type. The computer implemented method continues by using a data processing device to develop, through algorithmic autonomous learning, achievable business metric performance of the boundary constrained shelf space. In this regard, a group of similar product mix/ranking is optimized to create an ideal product mix/ranking which is then use to inform changes to make to the product mix to achieve the desired OPTIMAL BUSINESS METRIC.

Abstract: The present invention relates to a method of determining a maximum days-on-shelf metrics from a product mix constrained by at least physical shelf space and selectively by at least one business rule. The method comprises the steps of defining a boundary constrained shelf space, placing, physically, a product mix within the boundary constrained shelf space, creating a product mix ranking based, in part, on prior sales of each of the product type. The method continues by using a data processing device to develop, through algorithmic autonomous learning, achievable business metric performance of the boundary constrained shelf space. In this regard, a group of similar product mix/ranking is optimized to create an ideal product mix/ranking which is then used to determine the MAXIMUM DAYS-ON-SHELF, which is the number of days before an out of stock condition of a product type SKU occurs.

Abstract: A method to measure sound-producing behaviors of a subject with a power- and bandwidth-limited electronic device that includes a processor includes measuring, by a microphone communicatively coupled to the processor, sound in a vicinity of the subject to generate an audio data signal that represents the sound. The method also includes measuring, by at least one second sensor communicatively coupled to the processor, at least one parameter other than sound to generate at least a second data signal that represents the at least one parameter other than sound. The method also includes detecting one or more sound-producing behaviors of the subject based on: both the audio data signal and the second data signal; or information derived from both the audio data signal and the second data signal.

Abstract: The present invention relates to a computer implemented method of determining the cost of implementing a pricing strategy, the pricing strategy formed by changeable business rules which engender algorithmic constraints, impacting optimized business metrics. The computer implemented method comprising the steps of defining a cohort of at least one of a boundary constrained shelf space and associating with each of the boundary constrained shelf space, in the cohort, a product mix, and a product mix ranking. The computer implemented method continues by using a data processing device to develop, through algorithmic autonomous learning, achievable MEMBER OPTIMAL SALES REVENUE AMOUNT performance absent pricing strategy business rules and MEMBER OPPORTUNITY PRICING STRATEGY SALES REVENUE AMOUNT inclusive of pricing strategy business rules.

Abstract: A method including: receiving a flow; for each interface in the plurality of interfaces, determining the preference of the interface for the flow; when only a single interface has a preference for the flow, assigning the flow to that single interface; when multiple interfaces having a preference for the flow have comparable headroom, assigning the flow to the interface of the multiple interfaces with the fewest flows currently assigned to it; and when multiple interfaces having a preference for the flow do not have comparable headroom, assigning the flow to the interface within the multiple interfaces having a preference for the interface that has the greatest headroom.

Abstract: A gaming machine, such as a video slot or video poker machine, may be configured to execute an interface. The gaming machine may be configured to receive, a plurality of times, player input to play a first wagering game on the gaming machine. The gaming machine may be further configured to generate, each time the player input is received, game results for the first wagering game. The gaming machine may also be configured to generate game results for a second wagering game. The gaming machine may also be configured to present an animation of the wagering agent engaging in wagering activities.

Abstract: The present invention relates to a computer implemented method of determining optimal business metrics from a product mix constrained by at least physical shelf space and selectively by at least one business rule. The computer implemented method comprising the steps of defining a boundary constrained shelf space, placing, physically, a product mix within the boundary constrained shelf space, and creating a product mix ranking based, in part, on prior sales of each of the product type. The computer implemented method continues by using a data processing device to develop, through algorithmic autonomous learning, achievable business metric performance of the boundary constrained shelf space. In this regard, a group of similar product mix/ranking is optimized to create an ideal product mix/ranking which is then use to inform changes to make to the product mix to achieve the desired OPTIMAL BUSINESS METRIC.

Abstract: A method including: receiving a flow; for each interface in the plurality of interfaces, determining the preference of the interface for the flow; when only a single interface has a preference for the flow, assigning the flow to that single interface; when multiple interfaces having a preference for the flow have comparable headroom, assigning the flow to the interface of the multiple interfaces with the fewest flows currently assigned to it; and when multiple interfaces having a preference for the flow do not have comparable headroom, assigning the flow to the interface within the multiple interfaces having a preference for the interface that has the greatest headroom.

Abstract: An exemplary method relates to determining an open/closed position of a door. The method generally involves generating, by a multi-axis magnetometer mounted to the door, a plurality of signals relating a magnetic field having a net magnetic flux point, and generating, by a controller and based on the plurality of signals, a current incidence angle defined between the multi-axis magnetometer and the net magnetic flux point. The method further includes comparing the current incidence angle to a known incidence angle, wherein the known incidence angle is defined between the multi-axis magnetometer and the net magnetic flux point when the door is in a known position. The method further includes determining the open/closed position of the door based on the comparison of the current incidence angle to the known incidence angle.

Abstract: The present invention relates to a computer implemented method of determining optimal business metrics from a product mix constrained by at least physical shelf space and selectively by at least one business rule. The computer implemented method comprising the steps of defining a boundary constrained shelf space, placing, physically, a product mix within the boundary constrained shelf space, and creating a product mix ranking based, in part, on prior sales of each of the product type. The computer implemented method continues by using a data processing device to develop, through algorithmic autonomous learning, achievable business metric performance of the boundary constrained shelf space. In this regard, a group of similar product mix/ranking is optimized to create an ideal product mix/ranking which is then use to inform changes to make to the product mix to achieve the desired OPTIMAL BUSINESS METRIC.

Abstract: An exemplary method relates to determining an open/closed position of a door. The method generally involves generating, by a multi-axis magnetometer mounted to the door, a plurality of signals relating a magnetic field having a net magnetic flux point, and generating, by a controller and based on the plurality of signals, a current incidence angle defined between the multi-axis magnetometer and the net magnetic flux point. The method further includes comparing the current incidence angle to a known incidence angle, wherein the known incidence angle is defined between the multi-axis magnetometer and the net magnetic flux point when the door is in a known position. The method further includes determining the open/closed position of the door based on the comparison of the current incidence angle to the known incidence angle.

Abstract: A power system for the electronic devices on a mobile workstation. The power system preferably includes: an enclosure having a mount for a removable battery; circuitry housed in the enclosure for providing electrical power at two or more output voltages for electronic devices on the workstation and for deactivating output power when the battery charge falls below a predetermined level. The power system may also include charging circuitry for recharging the removable battery in-place.

Abstract: The present invention relates to a method of determining a maximum days-on-shelf metrics from a product mix constrained by at least physical shelf space and selectively by at least one business rule. The method comprises the steps of defining a boundary constrained shelf space, placing, physically, a product mix within the boundary constrained shelf space, creating a product mix ranking based, in part, on prior sales of each of the product type. The method continues by using a data processing device to develop, through algorithmic autonomous learning, achievable business metric performance of the boundary constrained shelf space. In this regard, a group of similar product mix/ranking is optimized to create an ideal product mix/ranking which is then used to determine the MAXIMUM DAYS-ON-SHELF, which is the number of days before an out of stock condition of a product type SKU occurs.

Abstract: The present invention relates to a computer implemented method of determining the cost of implementing a pricing strategy, the pricing strategy formed by changeable business rules which engender algorithmic constraints, impacting optimized business metrics. The computer implemented method comprising the steps of defining a cohort of at least one of a boundary constrained shelf space and associating with each of the boundary constrained shelf space, in the cohort, a product mix, and a product mix ranking. The computer implemented method continues by using a data processing device to develop, through algorithmic autonomous learning, achievable MEMBER OPTIMAL SALES REVENUE AMOUNT performance absent pricing strategy business rules and MEMBER OPPORTUNITY PRICING STRATEGY SALES REVENUE AMOUNT inclusive of pricing strategy business rules.