Abstract: Systems and methods for managing post-harvest crop quality and pests. A post-harvest monitoring system receives sensor device measurements from sensors deployed within a commodity storage facility. The system analyzes the sensor measurements and, optionally, other data, and provides a user with a representation of the storage facility that includes air flow, temperature, and/or moisture content readouts, along with stored commodity quality and/or stored commodity business metrics predictions concerning infestation level, visible mold, dry matter loss, germination capacity, gas concentration, and estimates of commodity value and profit margin under a variety of post-harvest monitoring system-recommended or user-specified scenarios. Use of the system thus enhances stored commodity quality, marketability and food safety by providing solutions that combat spoilage manifestations and guide end users to efficient pest management.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: The present disclosure generally relates to methods and apparatuses that determine quality and authenticity (e.g., adulteration, incorrect labeling, etc.) of agricultural commodities based on near-infrared spectrometers and chemometrics.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Systems and methods for managing post-harvest crop quality and pests. A post-harvest monitoring system receives sensor device measurements from sensors deployed within a commodity storage facility. The system analyzes the sensor measurements and, optionally, other data, and provides a user with a representation of the storage facility that includes air flow, temperature, and/or moisture content readouts, along with stored commodity quality and/or stored commodity business metrics predictions concerning infestation level, visible mold, dry matter loss, germination capacity, gas concentration, and estimates of commodity value and profit margin under a variety of post-harvest monitoring system-recommended or user-specified scenarios. Use of the system thus enhances stored commodity quality, marketability and food safety by providing solutions that combat spoilage manifestations and guide end users to efficient pest management.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: A method for designing a circuit element of an integrated circuit (IC) includes receiving one or more desired characteristics of the circuit element from user input and iteratively determining a design solution through one or more simulations and modifications using a rule-set. The one or more desired characteristics are combined with other preset characteristics of the circuit element or the IC. A first model of the circuit element is defined and simulated to calculate performance. The first and subsequent models are modified by drawing on a rule-set of expert knowledge relating to general dependency of at least one design criterion, such as a physical, geometrical or performance characteristic, with another design criterion.

Abstract: A system and method for designing an electrical component comprises a model extraction engine configured to generate a model based on a set of parameters, a simulator configured to simulate the generated model and measure performance, a rule-set usable to determine changes to the set of parameters, and an inference engine configured to change salience values of expert rules included in the rule set. The salience value determines when and if an expert rule is used to change the set of parameters. One or more microprocessors are configured to determine design characteristics of the electrical component by iteratively performing, until measured performance is within tolerance, the steps of generating a model based on an updated version of the set of parameters, simulating the generated model, measuring performance of the generated model, and updating the set of parameters using the rule-set if the measured performance is not within the predefined tolerance.

Abstract: A system and method for designing an electrical component comprises a model extraction engine configured to generate a model based on a set of parameters, a simulator configured to simulate the generated model and measure performance, a rule-set usable to determine changes to the set of parameters, and an inference engine configured to change salience values of expert rules included in the rule set. The salience value determines when and if an expert rule is used to change the set of parameters. One or more microprocessors are configured to determine design characteristics of the electrical component by iteratively performing, until measured performance is within tolerance, the steps of generating a model based on an updated version of the set of parameters, simulating the generated model, measuring performance of the generated model, and updating the set of parameters using the rule-set if the measured performance is not within the predefined tolerance.

Abstract: Apparatus and method for designing an electrical component including a processor and a user interface, enabling a user to input a desired characteristic of the electrical component, such as inductance or quality factor at an operating frequency for an integrated spiral inductor.

Abstract: A method for designing a circuit element of an integrated circuit (IC) includes receiving one or more desired characteristics of the circuit element from user input and iteratively determining a design solution through one or more simulations and modifications using a rule-set. The one or more desired characteristics are combined with other preset characteristics of the circuit element or the IC. A first model of the circuit element is defined and simulated to calculate performance. The first and subsequent models are modified by drawing on a rule-set of expert knowledge relating to general dependency of at least one design criterion, such as a physical, geometrical or performance characteristic, with another design criterion.

Abstract: A method for designing a transformer in an integrated circuit includes receiving one or more desired characteristics of the transformer from user input and iteratively determining a design solution for the transformer through one or more simulations and modifications using a rule-set. The method combines the one or more desired characteristics with other preset characteristics of the transformer or the integrated circuit. A first model of the transformer is defined with typical load impedances and simulated having the combined characteristics to determine performance. Results of the simulation are processed to calculate performance with the load impedances specified by the user. The results are further processed to obtain a mathematical model that includes tuning capacitors.

Abstract: A method for designing a transformer in an integrated circuit includes receiving one or more desired characteristics of the transformer from user input and iteratively determining a design solution for the transformer through one or more simulations and modifications using a rule-set. The method combines the one or more desired characteristics with other preset characteristics of the transformer or the integrated circuit. A first model of the transformer is defined with typical load impedances and simulated having the combined characteristics to determine performance. Results of the simulation are processed to calculate performance with the load impedances specified by the user. The results are further processed to obtain a mathematical model that includes tuning capacitors.

Abstract: Apparatus and method for designing an electrical component including a processor and a user interface, enabling a user to input a desired characteristic of the electrical component, such as inductance or quality factor at an operating frequency for an integrated spiral inductor.