A system comprises a faceted structure imaging assembly and a faceted structure image analyzer. The system is configured to determine carat weight of a gemstone while in a mounted setting. In a first mode, the imaging assembly obtains a first image of a top gemstone surface. The image analyzer uses the first image to obtain at least one gemstone dimension, such as table and diameter dimensions. In a second mode, the imaging assembly obtains a second image of the top gemstone surface while a colored light pattern is reflected onto the gemstone. The image analyzer uses the second image to obtain at least one other gemstone dimension, such as crown and pavilion angles. The image analyzer uses the dimensions obtained from the first and second images to determine weight information of the gemstone. The system quickly determines gemstone weight reliably and consistently without skilled gemologists or removal from the setting.

A system comprises a faceted structure imaging assembly and a faceted structure image analyzer. The system is configured to determine carat weight of a gemstone while in a mounted setting. In a first mode, the imaging assembly obtains a first image of a top gemstone surface. The image analyzer uses the first image to obtain at least one gemstone dimension, such as table and diameter dimensions. In a second mode, the imaging assembly obtains a second image of the top gemstone surface while a colored light pattern is reflected onto the gemstone. The image analyzer uses the second image to obtain at least one other gemstone dimension, such as crown and pavilion angles. The image analyzer uses the dimensions obtained from the first and second images to determine weight information of the gemstone. The system quickly determines gemstone weight reliably and consistently without skilled gemologists or removal from the setting.

Generating consensus biomass estimates include providing a first biomass parameter data set associated with a first biomass attribute parameter to a first biomass estimation model and providing a second biomass parameter data set associated with a second biomass attribute parameter to a second biomass estimation model different from the first biomass estimation model. The first biomass estimation model is adaptively weighted with a first weighting factor relative to a second weighting factor for the second biomass estimation model. An aggregated biomass estimate is determined based on a combination of the first biomass estimation model using the first weight factor and the second biomass estimation model using the second weight factor.

An output-torque estimation unit obtains a value of a current input to a motor, from a power converter, and calculates an estimated output torque value which is an estimated value of output torque of the motor, from the obtained value of the current. A load estimation unit estimates a load value of a hanging cargo based on the estimated output torque value which is calculated by the output-torque estimation unit, a speed reduction ratio of a speed reducer, an effective radius of a winch drum, and the winding number which is set by the number setting unit.

A weighing platform with a lattice load-bearing structure shaped spatially and made of load-bearing elements and connecting elements intersecting with them, affixed to a joint frame, where the load-bearing elements, in the place of intersection with the connecting profiles, have cuts in the shape adjusted to the shape of the connecting elements, and additionally the platform contains at least one load-bearing shell, measurement elements, regulated feet and connectors, where the connecting elements are located strictly in the cuts of the load-bearing structure at the depth, equal to height of the connecting elements and at the same time less than half of the height of the load-bearing elements, while to the bottom of the weighing platform at least two profile panels are fixed, with openings for the screw connectors, to which panels the measurement elements and regulated feet are fixed.

A parameter estimation method, comprises: acquiring appearance information including a shape information and a position information of at least one package; vibrating the at least one package at least at one position selected in accordance with the appearance information, and acquiring at least one data showing a vibration of the at least one package, and estimating a value of at least one parameter of the at least one package in accordance with a relation between the at least one data and the at least one parameter.

A parameter estimation method, comprises: acquiring appearance information including a shape information and a position information of at least one package; vibrating the at least one package at least at one position selected in accordance with the appearance information, and acquiring at least one data showing a vibration of the at least one package, and estimating a value of at least one parameter of the at least one package in accordance with a relation between the at least one data and the at least one parameter.

Magnetic resonance (MR) apparatuses, systems and methods for analysing a material. The magnetic resonance apparatuses include a primary loop defining an aperture that the material being analysed can pass through where the primary loop includes at least one pair of electrically conductive segments. The magnetic resonance apparatus also includes a pair of capacitance units corresponding to each pair of electrically conductive segments. Each capacitance unit is conductively connected to two adjoining conductive segments in series so that the primary loop forms a circuit for a radio frequency (RF) current. The primary loop is adapted to: conduct the RF electrical current so that the RF electrical current is predominantly in-phase over the entire primary loop. The magnetic resonance apparatus further includes: a pair of secondary coils corresponding to each pair of capacitor units, electrically conductively isolated from the primary loop. Each secondary coil is oriented to be magnetically coupled to the primary loop such that each secondary coil is capable of exciting RF voltages in the primary loop that are predominantly in-phase with each of the RF voltages excited by the other secondary coils. The magnetic resonance apparatus also includes a primary shield encompassing the primary loop and secondary coils for shielding electromagnetic radiation, the primary shield adapted to allow the material to pass through the aperture defined by the primary loop unobstructed.

Magnetic resonance (MR) apparatuses, systems and methods for analysing a material. The magnetic resonance apparatuses include a primary loop defining an aperture that the material being analysed can pass through where the primary loop includes at least one pair of electrically conductive segments. The magnetic resonance apparatus also includes a pair of capacitance units corresponding to each pair of electrically conductive segments. Each capacitance unit is conductively connected to two adjoining conductive segments in series so that the primary loop forms a circuit for a radio frequency (RF) current. The primary loop is adapted to: conduct the RF electrical current so that the RF electrical current is predominantly in-phase over the entire primary loop. The magnetic resonance apparatus further includes: a pair of secondary coils corresponding to each pair of capacitor units, electrically conductively isolated from the primary loop. Each secondary coil is oriented to be magnetically coupled to the primary loop such that each secondary coil is capable of exciting RF voltages in the primary loop that are predominantly in-phase with each of the RF voltages excited by the other secondary coils. The magnetic resonance apparatus also includes a primary shield encompassing the primary loop and secondary coils for shielding electromagnetic radiation, the primary shield adapted to allow the material to pass through the aperture defined by the primary loop unobstructed.

Various implementations described herein are directed to a wearable device used to determine whether motion data and heart rate data correspond to a fishing activity. The wearable device may include a heart rate sensor and a motion sensor. The wearable device may include a computer system with a processor and memory. The memory may have a plurality of executable instructions. When the executable instructions are executed by the processor, the processor may receive motion data from the motion sensor, receive heart rate data from the heart rate sensor, and determine whether the received motion data and heart rate data corresponds to a fishing activity.