Abstract: The invention relates to a method (62, 64) for creating x-ray images as well as to an x-ray system. During the creation of an x-ray image, a slit diaphragm (16) is moved in front of an object (24) to be x-rayed, along a path extending between a radiation source (10) and said object (24), in order for the object (24) to be scanned. X-rays emitted by the radiation source (10) are detected by a detector (20) upon penetration of the slit diaphragm (16) and the object (24) to be x-rayed. In order to create an x-ray image using a simplified slot scanning technique, the x-ray image is created without the need for a second slit diaphragm (16) between the object (24) to be x-rayed and the detector (20), and only the radiation of which the intensity (60), detected by the detector (20) during the scan, exceeds a predefined threshold value is processed.

Abstract: A method of purging contaminants from a refrigerant of a heat pump via a purge system includes generating a driving force across a separator, providing refrigerant including contaminants to the separator, separating the contaminants from the refrigerant within the separator, monitoring one or more parameters of the purge system and the heat pump, and actively controlling an operational parameter of the purge system in response to monitoring one or more parameters of the purge system and the heat pump.

Abstract: Embodiments of the present disclosure pertain to matching transactional data. In one embodiment, the present disclosure includes a computer implemented method comprising receiving transactional data for a first user and second data for the first user, selecting transactional data records for the first user from a data store of transactional data for a plurality of users, determining a plurality of similarities between fields of the transactional data and second data, determining a likelihood of a match between a transactional data field and a second data field based on the plurality of similarities using a machine learning model, and in accordance therewith, identifying one record in the transactional data records for the first user that generates said likelihood of the match above a first threshold, and replacing values second data fields with corresponding values in the one record.

Abstract: An audio device with an electro-acoustic transducer and a processor that is configured to determine if input audio signals are speech-based, and if the input audio signals are determined to be speech-based apply speech dynamic range compression to the input audio signals, to develop revised audio signals. The revised audio signals are provided to the transducer.

Abstract: A multi-stage refrigeration system (100) includes: a refrigeration loop (110), which includes a gas suction port of a multi-stage compressor (111), a condenser (112), a first throttling element (113), an evaporator (114) and an exhaust port of the multi-stage compressor which are sequentially connected through pipelines; an economizer branch (120), which includes an economizer (121), a second throttling element (122) and a first control valve (123), the economizer having an economizer liquid inlet connected to the condenser via the first throttling element, an economizer liquid outlet connected to the evaporator via the second throttling element, and an economizer exhaust port connected to an intermediate stage of the multi-stage compressor via a control valve; and a bypass branch (130), which is joined to the evaporator from the downstream of the second throttling element and connected to the condenser via the first throttling element, and on which a second control valve (131) is arranged.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving receipt data associated with an entity. Policy questions associated with the entity are associated with at least one policy question answer that corresponds to a conformance or a violation of a policy selected by the entity. For each policy question, a machine learning policy model is identified for the policy question that includes, for each policy question answer, receipt data features that correspond to the policy question answer. The machine learning policy model is used to automatically determine a selected policy question answer to the policy question by comparing features of extracted tokens to respective receipt data features of the policy question answers that are included in the machine learning policy model. In response to determining that the selected policy question answer corresponds to a policy violation, an audit alert is generated.

Abstract: The present utility model relates to a deflector for a condenser. The condenser has an inlet in communication with a compressor, and a deflector for guiding a refrigerant gas flow from the compressor is arranged in the condenser and at a position close to the inlet. The deflector is provided with a deflecting structure projecting toward the inlet, and the deflecting structure is configured as impermeable to the refrigerant gas flow. The present utility model further provides a condenser having the deflector for a condenser and a refrigeration system equipped with the condenser. The deflector for a condenser according to the present utility model not only can alleviate the impact of high-temperature high-pressure gas from the compressor but also can reduce noise and vibration.

Abstract: A deflector for a condenser. The condenser has an inlet in communication with a compressor, and a deflector for guiding a refrigerant gas flow from the compressor is arranged in the condenser and at a position close to the inlet. The deflector is provided with a deflecting structure projecting toward the inlet, and the deflecting structure is configured as impermeable to the refrigerant gas flow.

Abstract: A separator for removing contamination from a fluid of a heat pump includes a housing having a hollow interior, a separation component mounted within the hollow interior, and at least one turbulence-generating element positioned within the hollow interior adjacent the separation component.

Abstract: An audio device with an electro-acoustic transducer and a processor that is configured to determine if input audio signals are speech-based, and if the input audio signals are determined to be speech-based apply speech dynamic range compression to the input audio signals, to develop revised audio signals. The revised audio signals are provided to the transducer.

Abstract: Embodiments of the present disclosure pertain to systems and method for extracting data from an image. In one embodiment, a method of extracting data from an image comprises receiving, from an optical character recognition (OCR) system, OCR text in response to sending an image to the OCR system. The OCR text comprises a plurality of lines of text. Each line of text is classified as either a line item or not a line item using a machine learning algorithm, and a plurality of data fields are extracted from each line of text classified as a line item.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving receipt data associated with an entity. Policy questions associated with the entity are associated with at least one policy question answer that corresponds to a conformance or a violation of a policy selected by the entity. For each policy question, a machine learning policy model is identified for the policy question that includes, for each policy question answer, receipt data features that correspond to the policy question answer. The machine learning policy model is used to automatically determine a selected policy question answer to the policy question by comparing features of extracted tokens to respective receipt data features of the policy question answers that are included in the machine learning policy model. In response to determining that the selected policy question answer corresponds to a policy violation, an audit alert is generated.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving text submitted with a request. Token values are automatically extracted for selected token types from the text using a machine learning model. Tokens are identified in the text, and for each token, features and a token type of the token are determined, along with a score that indicates a likelihood that the token has the token type. A token value is extracted for the token from the text. Extracted token values are compared to request data values. A request value for the selected token type is identified in the data values for each selected token type. The extracted token value for each selected token type is compared to the request value. An audit alert is generated in response to determining that an extracted token value does not match a corresponding request value.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving an image of a receipt associated with an expense on an expense report. Tokens are extracted from the receipt using one or more machine learning extraction models. A compound key is generated using a subset of the tokens. The subset includes a transaction time associated with the receipt. A determination is made as to whether the compound key matches an existing compound key in a database of historical receipts. In response to determining that the compound key does not match an existing compound key, the receipt is identified as a non-duplicate receipt and an entry that includes the compound key is added to the database. In response to determining that the compound key matches an existing compound key, the receipt is identified as a duplicate receipt.

Abstract: Embodiments of the present disclosure pertain to extracting data corresponding to particular data types using neural networks. In one embodiment, a method includes receiving an image in a backend system, sending the image to an optical character recognition (OCR) component, and in accordance therewith, receiving a plurality of characters recognized in the image, sequentially processing the characters with a recurrent neural network to produce a plurality of outputs for each character, sequentially processing the plurality of outputs for each character with a masking neural network layer, and in accordance therewith, generating a first plurality of probabilities, wherein each probability corresponds to a particular character in the plurality of characters, selecting a second plurality of adjacent probabilities from the first plurality of probabilities that are above a threshold, and translating the second plurality of adjacent probabilities into output characters.

Abstract: Executing and managing flow plans by performing at least the following: receiving an indication to initiate a task flow including a plurality of discrete but related operations at a customer instance environment of a cloud-based computing platform; obtaining a definition of the task flow identifying run-time requirements for each of the plurality of operations; determining a first execution environment for the first of the plurality of operations; initiating execution of the first operation in the first execution environment; and determining the proper execution environment for subsequent operations of the task flow until all operations of the task flow are complete. Factors, such as look-ahead optimization, environmental operational capabilities, access and security requirements, current load, future load, etc. may be considered when determining the proper execution environment for a given operation.

Abstract: A key management tool comprises a memory, an interface, a compatibility engine, a validation engine, a distribution engine, and a verification engine. The compatibility engine is configured to determine that the first device is compatible with the key management tool, the validation engine is configured to validate the first device, and the distribution engine is configured to communicate a first temporary key to the first device. The verification engine is configured to perform a first set of one or more checks on the first device after the first temporary key is communicated to the first device, the distribution engine is further configured to communicate a first permanent key to the first device if the first device passes the first set of one or more checks, and, subsequent to the communication of the first permanent key, the interface is configured to receive a request for a second permanent key.

Abstract: Embodiments of the present disclosure pertain to systems and method for extracting data from an image. In one embodiment, a method of extracting data from an image comprises receiving, from an optical character recognition (OCR) system, OCR text in response to sending an image to the OCR system. The OCR text comprises a plurality of lines of text. Each line of text is classified as either a line item or not a line item using a machine learning algorithm, and a plurality of data fields are extracted from each line of text classified as a line item.

Abstract: A refrigeration system, including: a compressor, a condenser, an economizer, a throttle valve, and an evaporator which are connected via a pipeline; and a pneumatic valve that includes a valve body and a drive gas phase refrigerant chamber, an gas phase refrigerant outlet of the economizer being connected to an interstage gas phase refrigerant inlet of the compressor via the valve body, and the drive gas phase refrigerant chamber being connected to a low pressure portion of the refrigeration system via a first gas phase refrigerant path, the lower pressure portion having a pressure lower than that in the economizer; wherein a first valve for controlling on/off of the first gas phase refrigerant path is disposed on the first gas phase refrigerant path. The refrigeration system can avoid liquid phase refrigerant accumulated in the economizer from entering the compressor during start to cause a liquid impact problem.

Abstract: An audio system with first and second discrete audio drivers that are in a listening space, wherein each driver is configured to radiate sound into the listening space, and wherein the radiated sound from each driver at a listening location in the listening space has a frequency, phase, and magnitude. The audio system is configured to modify a phase of the sound radiated by at least one of the first or second drivers such that a phase response difference between the first and second drivers at the listening location is closer to zero degrees than it was before the modification.