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: 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 to determine medication adherence may include detecting whether a wearable electronic device is in use. The method may include detecting one or more markers in sweat vapor of the user using a chemical marker sensor of the wearable electronic device. The method may include, in response to detecting that the system is in use, determining whether the user has taken a therapeutic agent that includes the one or more markers based on detecting the one or more markers in the sweat vapor.

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: A system to determine medication adherence may include a chemical marker sensor, a verification sensor, and a processor. The chemical marker sensor may be configured to detect one or more markers in sweat vapor of a user. The verification sensor may be configured to detect whether the system is in use. The processor may be communicatively coupled to the chemical marker sensor and the verification sensor and may be configured to determine whether the user has taken a therapeutic agent that includes the one or more markers based on signals generated by the chemical marker sensor and the verification sensor.

Abstract: A system to measure sweat vapor may include a skin contact sensor, a sweat vapor sensor, and a processor. The skin contact sensor may be configured to measure one or more aspects indicative of whether the measuring device is in contact with skin of a user of the measuring device. The sweat vapor sensor may be configured to measure one or more properties of sweat vapor of the user; and the processor may be communicatively coupled to the skin contact sensor and the sweat vapor sensor. The processor may be configured to confirm operation of the measuring device based on the one or more aspects measured by the skin contact sensor, and the sweat vapor sensor receiving the sweat vapor.

Abstract: A railway rail induction-welding device is provided which includes a device support and a railway rail alignment means for aligning opposing railway rails in three mutually perpendicular directions, the railway rail alignment means being supported by the device support. The railway rail alignment means includes first and second railway-rail clamping elements to horizontally and longitudinally align the opposing railway rails when gripped by the first and second railway-rail clamping elements, with at least one of the first and second railway-rail clamping elements being movably supported by the device support, and a vertical lifting means for moving each railway-rail clamping element vertically to align the opposing railway rails. A railway rail clamping and lifting module, a vehicle a railway rail induction-welding device, and a method of inductively welding opposing railway rails together are also provided.

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 method to create autonomous decision logic (ADL) may include receiving a request to create the ADL. The request includes a selection of an input and a selection of an output. When executed by a client device, the ADL is configured to provide the output based at least partially on an identification of the input. The method further includes electronically packaging the input and the output to generate the ADL. The method includes sending the ADL via a transport layer to the client device for execution of the ADL on the client device. The client device is configured to generate encrypted data pertaining to the execution of the ADL. The method includes receiving, from the client device, the encrypted data pertaining to the execution of the ADL. The method further includes decrypting the encrypted data. The method includes presenting at least some of the decrypted data on a display.

Abstract: A system to measure sweat vapor may include a skin contact sensor, a sweat vapor sensor, and a processor. The skin contact sensor may be configured to measure one or more aspects indicative of whether the measuring device is in contact with skin of a user of the measuring device. The sweat vapor sensor may be configured to measure one or more properties of sweat vapor of the user; and the processor may be communicatively coupled to the skin contact sensor and the sweat vapor sensor. The processor may be configured to confirm operation of the measuring device based on the one or more aspects measured by the skin contact sensor, and the sweat vapor sensor receiving the sweat vapor.

Abstract: An all-in-one measuring tool. has multiple measuring components embedded into a structure of any shape or size. The measuring components are positioned at various locations along the surface of the structure. Each measuring component is unique and can hold an amount of liquid or ingredient that is identified by a particular measurement. The measuring components can respectively include handles to enable a user to hold the measuring components.

Abstract: A system to determine medication adherence may include a chemical marker sensor, a verification sensor, and a processor. The chemical marker sensor may be configured to detect one or more markers in sweat vapor of a user. The verification sensor may be configured to detect whether the system is in use. The processor may be communicatively coupled to the chemical marker sensor and the verification sensor and may be configured to determine whether the user has taken a therapeutic agent that includes the one or more markers based on signals generated by the chemical marker sensor and the verification sensor.

Abstract: A wearable apparatus may include a sensor configured to identify a characteristic of the wearable apparatus. The wearable apparatus may also include an activity tracker configured to identify an activity of a tracked individual. The wearable apparatus may further include a memory. The wearable apparatus may include a processor operatively coupled to the memory. The processor may be configured to receive portable autonomous decision logic via a network and execute the portable autonomous decision logic. When executing the autonomous decision logic, the processor is configured to receive the characteristic via the sensor, receive the activity via the activity tracker; determine a state of the tracked individual based on at least one of the characteristic or the activity; and generate an output based on the state of the tracked individual.

Abstract: A method to create autonomous decision logic (ADL) may include receiving a request to create the ADL. The request includes a selection of an input and a selection of an output. When executed by a client device, the ADL is configured to provide the output based at least partially on an identification of the input. The method further includes electronically packaging the input and the output to generate the ADL. The method includes sending the ADL via a transport layer to the client device for execution of the ADL on the client device. The client device is configured to generate encrypted data pertaining to the execution of the ADL. The method includes receiving, from the client device, the encrypted data pertaining to the execution of the ADL. The method further includes decrypting the encrypted data. The method includes presenting at least some of the decrypted data on a display.

Abstract: A method to implement multifactor authentication of a user may include performing biometric authentication of a person that bears the wearable electronic device and at least one of: performing knowledge-based authentication of the person or presenting an access control token of the wearable electronic device to an access reader that performs token-based authentication of the person. Performing biometric authentication may include receiving a first biometric signal generated by a wearable electronic device and determining a person-specific biometric characteristic of the person therefrom; comparing the person-specific biometric characteristic to a user-specific biometric characteristic of the user determined from a second biometric signal generated when the wearable electronic device was born by the user; and based on the comparing, determining a confidence level that the person is the user to determine a positive or negative authentication of the person as the user.

Abstract: A method to implement multifactor authentication of a user may include performing biometric authentication of a person that bears the wearable electronic device and at least one of: performing knowledge-based authentication of the person or presenting an access control token of the wearable electronic device to an access reader that performs token-based authentication of the person. Performing biometric authentication may include receiving a first biometric signal generated by a wearable electronic device and determining a person-specific biometric characteristic of the person therefrom; comparing the person-specific biometric characteristic to a user-specific biometric characteristic of the user determined from a second biometric signal generated when the wearable electronic device was born by the user; and based on the comparing, determining a confidence level that the person is the user to determine a positive or negative authentication of the person as the user.

Abstract: A wearable apparatus may include a sensor configured to identify a characteristic of the wearable apparatus. The wearable apparatus may also include an activity tracker configured to identify an activity of a tracked individual. The wearable apparatus may further include a memory. The wearable apparatus may include a processor operatively coupled to the memory. The processor may be configured to receive portable autonomous decision logic via a network and execute the portable autonomous decision logic. When executing the autonomous decision logic, the processor is configured to receive the characteristic via the sensor, receive the activity via the activity tracker; determine a state of the tracked individual based on at least one of the characteristic or the activity; and generate an output based on the state of the tracked individual.

Abstract: The invention disclosed is a tamper detection element to locate against a first member to detect tampering. The element has a resilient deformable member able to deform because of tamper induced deformation, a contact sensing member disposed towards the resilient deformable member, a first electrically conductive portion adjacent or on the resilient deformable member, and a second electrically conductive portion on the contact sensing member. An electrical relationship can then be formed between the first and second electrically conductive portions, and the tamper induced deformation results in a change of impedance of the electrical relationship, the change therefore indicative of the tampering.