An agricultural vehicle including a container, which is mounted on at least one train of wheels, wherein the container rests by way of fixation brackets and load cells or weight sensors, preferably directly, i.e. without use of an intermediate chassis, on one axle or more forming the train of wheels. The vehicle container is mounted on the axle or each of the axles of the train under consideration by way of at least two pairs of load cells, wherein each pair consists of two load cells situated on opposite sides of a vertical plane parallel to the vertical planes containing the axes of the axles of a multi-axle train.

An agricultural vehicle including a container, which is mounted on at least one train of wheels, wherein the container rests by way of fixation brackets and load cells or weight sensors, preferably directly, i.e. without use of an intermediate chassis, on one axle or more forming the train of wheels. The vehicle container is mounted on the axle or each of the axles of the train under consideration by way of at least two pairs of load cells, wherein each pair consists of two load cells situated on opposite sides of a vertical plane parallel to the vertical planes containing the axes of the axles of a multi-axle train.

The invention relates to a WIM sensor for detecting loads of vehicles on a roadway segment when a wheel of a vehicle crosses the WIM sensor arranged flush with the roadway surface in the roadway segment. The WIM sensor is formed as an elongated profile along a longitudinal axis and defines a space therein. A force sensor configured to generate a force sensor signal corresponding to a dynamic ground reaction force when the wheel crosses the force sensor is arranged in the space. An electro-acoustic transducer is arranged in the space and configured to measure sound waves and accordingly generate a transducer signal.

The present disclosure discloses a method for quick weighing of loose and small packages of traditional Chinese medicine (TCM), comprising: 1) establishing an equivalent physical model of a weighing system for loose and small packages, and, through Laplace transformation and Z transformation, obtaining a formula of the mass M of medicine packages to be weighed; 2) calculating a.sub.1, a.sub.2, b.sub.1 and b.sub.2 on the basis of a vector prediction error; 3) according to a.sub.1, a.sub.2, b.sub.1, and b.sub.2 obtained and the formula of the mass of medicine packages to be weighed, obtaining the mass of the loose and small packages of TCM that are weighed. According to the method, the scalar prediction error is expanded into the vector prediction error based on the traditional method so as to construct a new identification model based on the vector prediction error, and as a result the utilization efficiency of prediction error turns higher.

According to an aspect of the inventive concept, there is provided an apparatus for processing an output signal of an analog-digital converter, includes: a first frequency conversion unit for converting a frequency of the output signal of the analog-digital converter so that a band where spurious components exist moves to a band where direct current components exist in the output signal of the analog-digital converter; a spurious component blocking unit for eliminating, from an output signal of the first frequency conversion unit, spurious components which have moved to the band where direct current components exist; and a second frequency conversion unit for restoring a frequency of an output signal of the spurious component blocking unit to the original frequency of the output signal of the analog-digital converter.

According to an aspect of the inventive concept, there is provided an apparatus for processing an output signal of an analog-digital converter, includes: a first frequency conversion unit for converting a frequency of the output signal of the analog-digital converter so that a band where spurious components exist moves to a band where direct current components exist in the output signal of the analog-digital converter; a spurious component blocking unit for eliminating, from an output signal of the first frequency conversion unit, spurious components which have moved to the band where direct current components exist; and a second frequency conversion unit for restoring a frequency of an output signal of the spurious component blocking unit to the original frequency of the output signal of the analog-digital converter.

Noise that is present in the output of a weight sensor can lead to erroneous weight data. A moveable device, such as a tote, may be used by a customer while shopping in a facility. This tote can include one or more weight sensors that are used to determine the weight of items added to or removed from the tote. However, noise can affect the output of the weight sensors, where such noise is attributed to movement or vibration of the tote. Data from a vibration sensor or a motion sensor coupled to the tote can be analyzed to determine noise that is common to weight data and vibration data or motion data associated with the tote. This common noise can then be removed or attenuated from the weight signals to determine de-noised and valid weight data for the tote.

The invention relates to a signal processing device, a control method thereof, a control procedure and a recording medium, which is unnecessary to increase a memory capacity for implementing sampling to determine a filter parameter. The signal processing device includes a data acquiring element (10), acquiring signals of a time series, i.e. time series signals from a sensor; a filtering element (21), performing a filtering operation according to frequencies; a transfer element (30), transferring the time series signals; and a filter parameter determination element (50), performing frequency analysis to the time series signals within a pre-specified interval, i.e. a specified interval to determine a filter parameter.

The invention relates to a signal processing device, a signal processing method, an information processing program and a recording medium, which removes wide-range frequency noise. In a signal processing device (10), a cycle of acquiring a signal from a sensor is a data acquisition cycle, which is shorter than a cycle of forwarding time sequence data from which noise is removed to a controller, that is, a forwarding cycle.

The present invention relates to a signal processing method for weight signals (W) of scales, in particular combination scales (K).

Signal processing is performed using preprocessed discrete values (W(i)) of the weight signal (W), which are supplied to at least one artificial neural network. With the help of this at least one artificial neural network, an estimated value (SW) for the actual weight is determined, for example in a weighing device of a combination scale. This is performed faster than if waiting for the actual weight signal. The estimated values (SW) are forwarded to the combination scale (KW), which uses them to form combinations.