A proposing an improvement in an installation environment of a weighing apparatus is made by including (a) a step of acquiring, weighed data of an object (7) to be weighed from a weighing sensor (13) together with time information, (b) a step of acquiring, environmental data together with time information, (c) a step of checking, with respect to the weighed data and the environmental data, whether an amount of change of the data per unit time or an average value of the data is less than or not less than a threshold with reference to a threshold database (191) and determining influence on the apparatus, and (d) a step of making a proposal on the installation environment for each result of the determination with reference to an improvement proposal database (193).

A self-weighing container for transporting delivery items includes a weight-sensing device that is configured to sense a weight of a delivery item that is placed inside the container; a microcontroller that is connected to the weight-sensing device; and a display that is connected to the microcontroller. When a delivery item is placed in the container, the weight-sensing device produces a signal that corresponds to the weight of the delivery item and the microcontroller receives the signal and determines the weight of the delivery item based on the signal. The microcontroller may transmit an indication of the weight to the display, which displays the weight based on the indication of the weight, or the microcontroller may transmit the weight to a smart phone for display.

A self-weighing container for transporting delivery items includes a weight-sensing device that is configured to sense a weight of a delivery item that is placed inside the container; a microcontroller that is connected to the weight-sensing device; and a display that is connected to the microcontroller. When a delivery item is placed in the container, the weight-sensing device produces a signal that corresponds to the weight of the delivery item and the microcontroller receives the signal and determines the weight of the delivery item based on the signal. The microcontroller may transmit an indication of the weight to the display, which displays the weight based on the indication of the weight, or the microcontroller may transmit the weight to a smart phone for display.

The present invention relates to an energy supply circuit for instantly supplying power without a power converter and an electronic device which operates only when energy is supplied from an energy source using the same. An energy supply circuit without a power converter according to the present invention comprises: an energy extraction unit 10 for generating power from an energy source; and output unit 20 for supplying power to an external electronic circuit; a switch unit 30 interposed between the energy extraction unit and the output unit 20 to connect an output end of the energy extraction unit 10 to the output unit 20 when switched on; and a maximum power point tracking control unit 40 for generating an open/closed signal for opening or closing the switch unit 30 according to the voltage and current of the energy extraction unit 10. The present invention has a technical feature wherein a turn-on point of the open/closed signal comes at a time when the output end voltage of the energy extraction unit 10 is Vh, and a turn-off point comes at a time when the output end voltage of the energy extraction unit 10 is Vl. Accordingly, the present invention has a simple configuration, low manufacturing costs, has no energy loss due to the power conversion, and has no reduction in life due to charging and discharging of an energy storage device.

The present invention relates to an energy supply circuit for instantly supplying power without a power converter and an electronic device which operates only when energy is supplied from an energy source using the same. An energy supply circuit without a power converter according to the present invention comprises: an energy extraction unit 10 for generating power from an energy source; and output unit 20 for supplying power to an external electronic circuit; a switch unit 30 interposed between the energy extraction unit and the output unit 20 to connect an output end of the energy extraction unit 10 to the output unit 20 when switched on; and a maximum power point tracking control unit 40 for generating an open/closed signal for opening or closing the switch unit 30 according to the voltage and current of the energy extraction unit 10. The present invention has a technical feature wherein a turn-on point of the open/closed signal comes at a time when the output end voltage of the energy extraction unit 10 is Vh, and a turn-off point comes at a time when the output end voltage of the energy extraction unit 10 is Vl. Accordingly, the present invention has a simple configuration, low manufacturing costs, has no energy loss due to the power conversion, and has no reduction in life due to charging and discharging of an energy storage device.

A system includes a signal generator that is configured to generate a first electrical signal. The system also includes a light source configured to generate a light beam based on the first electrical signal. The light source is also configured to direct the light beam towards a structural member of an aircraft. The system also includes a photoelectric sensor configured to receive a reflected light beam and convert the reflected light beam to a second electrical signal. The reflected light beam corresponds to a portion of the light beam that is reflected from one or more optical reflectors coupled to the structural member. The system also includes circuitry configured to estimate a location of a center-of-gravity of the aircraft based on a timing difference between the first electrical signal and the second electrical signal.

Provided is a scaling and monitoring system for remotely weighing, monitoring, and measuring volumes of rubber buffings (also referred to in text as shavings or dust) produced by commercial tire retreading plants and other materials. The method utilizes a custom scale system installed underneath a shipping container or a semi van trailer, container, or other collection and storage unit or area. The custom scale system feeds weight data to a PLC and VPN/gateway-based control panel which processes and relays information to the Internet, thus allowing all accessible and recorded data to be remotely collected and viewed for the purpose of optimizing rubber dust collection and processing and minimizing overhead costs associated with such processes.

Provided is a scaling and monitoring system for remotely weighing, monitoring, and measuring volumes of rubber buffings (also referred to in text as shavings or dust) produced by commercial tire retreading plants and other materials. The method utilizes a custom scale system installed underneath a shipping container or a semi van trailer, container, or other collection and storage unit or area. The custom scale system feeds weight data to a PLC and VPN/gateway-based control panel which processes and relays information to the Internet, thus allowing all accessible and recorded data to be remotely collected and viewed for the purpose of optimizing rubber dust collection and processing and minimizing overhead costs associated with such processes.

A weight-based kitchen assistant in the form of a voice-assisted electronic scale allows a user to quickly convert weight measurements to volumetric measurements, determine accurate nutritional information of a food item based on its weight, and follow the steps of a recipe hands-free while cooking or baking in the kitchen. When connected to peripheral storage vessels, the weight-based kitchen assistant allows the user to manage and locate where ingredients are stored. The weight-based kitchen assistant also provides the user with the ability to measure accurate serving sizes and perform personalized dietary tracking.

A system for refining an item identification model detects a triggering event at a platform. The system captures images of the item. The system extracts a set of features from at least one of the images. The system identifies the item based on the set of features. The system receives an indication that the item is not identified correctly. The system receives an identifier of the item. The system identifies the item based on the identifier of the item. The system feeds the identifier of the item and the images to the item identification model. The system retrains the item identification model to learn to associate the item to the images. The system updates the set of features based on the determined association between the item and the images.