Abstract: A computerized simulation validating method for a full-scale distribution network single phase-to-ground fault test is implemented by simulating a full-scale test system with external quantities being controlled to be conformant and validating the full-scale distribution network single phase-to-ground fault test based on a conformance check result between the internal quantities of the field testing and the internal quantities of the simulation testing. The simulation validating method for a full-scale distribution network single phase-to-ground fault test improves normalization and conformance of the full-scale distribution network ground fault test. The computerized simulation validating system, apparatus, and medium for a full-scale distribution network single phase-to-ground fault test also achieve the benefits noted above.

Abstract: A temperature sensing system includes absolute temperature sensor(s) and/or thermopiles that form concentric geometries and are uniform in height. In some examples, the temperature sensing system can determine internal body temperature and/or ambient temperature based at least on a thermal gradient associated with the inner thermopile, a thermal gradient associated with the outer thermopile, a lateral temperature difference between the inner and the outer thermopiles, and an absolute temperature. In some examples, the temperature sensing system can determine the internal body temperature and/or ambient temperature using at least four absolute temperature sensors forming a concentric structure.

Abstract: Methods and apparatuses are disclosed for electronic devices associated with monitoring a patient's use of an intraoral dental appliance. The monitoring electronics may communicate with near-field communication (NFC) signals. An NFC booster is disclosed to improve NFC data transfer between the electronic devices that monitor patient usage and communication devices. NFC boosters may be included within dental appliance cases and/or mobile phone cases. Also described are method and apparatuses for mounting the monitoring electronics onto the dental appliance. Also described are compact sensors, e.g., capacitive sensors, that may be included as part of a monitoring electronics unit.

Abstract: Apparatuses for sanitizing and/or sterilizing a dental/orthodontic appliance are described herein. These apparatuses may include an internal chamber in which one or more sanitizing/sterilizing modes, such as UV light (e.g., UVC light), ultrasound, heat, etc. may be applied to an appliance.

Abstract: A model-driven deep learning-based seismic super-resolution inversion method includes the following steps: 1) mapping each iteration of a model-driven alternating direction method of multipliers (ADMM) into each layer of a deep network, and learning proximal operators by using a data-driven method to complete the construction of a deep network ADMM-SRINet; 2) obtaining label data used to train the deep network ADMM-SRINet; 3) training the deep network ADMM-SRINet by using the obtained label data; and 4) inverting test data by using the deep network ADMM-SRINet trained at step 3). The method combines the advantages of a model-driven optimization method and a data-driven deep learning method, and therefore the network has the interpretability; and meanwhile, due to the addition of physical knowledge, the iterative deep learning method lowers requirements for a training set, and therefore an inversion result is more reliable.

Abstract: A model-driven deep learning-based seismic super-resolution inversion method includes the following steps: 1) mapping each iteration of a model-driven alternating direction method of multipliers (ADMM) into each layer of a deep network, and learning proximal operators by using a data-driven method to complete the construction of a deep network ADMM-SRINet; 2) obtaining label data used to train the deep network ADMM-SRINet; 3) training the deep network ADMM-SRINet by using the obtained label data; and 4) inverting test data by using the deep network ADMM-SRINet trained at step 3). The method combines the advantages of a model-driven optimization method and a data-driven deep learning method, and therefore the network has the interpretability; and meanwhile, due to the addition of physical knowledge, the iterative deep learning method lowers requirements for a training set, and therefore an inversion result is more reliable.

Abstract: The present disclosure relates to a system and method for providing textile information and visualizing the same. The method for determining a damage level of a textile includes: receiving an image of at least a part of the textile; receiving information about a fabric type of the at least a part of the textile; analyzing the image by using a machine learning method so as to identify a fabric attribute of the at least a part of the textile; determining a severity value associated with the identified fabric attribute by using the machine learning method according to the received image, the identified fabric attribute and the fabric type; and determining the damage level of the textile based on the determined severity value.

Abstract: Methods for in situ mixing of two or more different liquid compositions in a container by employing one or more liquid influxes that are offset by 1-50° from a longitudinal axis of such container.

Abstract: This invention provides a multilayer dissolvable solid article, which comprises two or more flexible, dissolvable, porous sheets. Each of such two or more sheets is characterized by a Percent Open Cell Content of from about 80% to 100% and an Overall Average Pore Size of from about 100 ?m to about 2000 ?m and comprises a water-soluble polymer. At least two adjacent sheets in such dissolvable solid article are characterized by an Adhesion Score (AdS) of no less than 1, while the contacting surfaces of said at least two adjacent sheets are essentially free of adhesives. Preferably, the multilayer dissolvable solid article is essentially free of adhesives.

Abstract: Methods for in situ mixing of two or more different liquid compositions in a container by employing one or more liquid influxes that are offset by 1-50° from a longitudinal axis of such container.

Abstract: Non-homogeneous liquid compositions that include an adjunct ingredient. Related methods of making and using such compositions.

Abstract: Disclosed are a method for transmitting a media data stream and a thin client, and the method includes: a media channel is established between a first thin client and a second thin client, wherein a first media module is pre-configured in the first thin client and a second media module is pre-configured in the second thin client; and the media data stream is transmitted between the first media module pre-configured in the first thin client and the second media module pre-configured in the second thin client through the media channel. The present disclosure solves problems of network time delay and data distortion caused by a fact in the prior art that media data need to be transmitted between a thin client and a virtual desktop through using a protocol such as RDP so as to implement interaction of data between two thin clients, thus achieving technical effectives of improvement on the data transmission rate and accuracy of data.

Abstract: Disclosed are a method for transmitting a media data stream and a thin client, and the method includes: a media channel is established between a first thin client and a second thin client, wherein a first media module is pre-configured in the first thin client and a second media module is pre-configured in the second thin client; and the media data stream is transmitted between the first media module pre-configured in the first thin client and the second media module pre-configured in the second thin client through the media channel. The present disclosure solves problems of network time delay and data distortion caused by a fact in the prior art that media data need to be transmitted between a thin client and a virtual desktop through using a protocol such as RDP so as to implement interaction of data between two thin clients, thus achieving technical effectives of improvement on the data transmission rate and accuracy of data.

Abstract: An automobile tire pressure monitoring system and tire identification method that includes a transmitting and detecting unit provided on each tire, as well as a receiving and display unit that includes a receiving unit, a main control unit and a display unit. A plug-in encoding memory is plugged into the receiving and display unit. One fixed ID code, which is the same as that for the encoding memory, is provided for each transmitting and detecting unit. When the power is on, the receiving and display unit reads the ID code in each plug-in encoding memory plugged into the socket of the display unit, and saves the information on the corresponding relationships between ID codes saved in memories and the tire identity. After receiving the signal from the transmission unit, the receiving and display unit reads the ID codes in it, and determines whether these codes are identical with those in the memories.

Abstract: A kind of automobile tire pressure monitoring system and tire identification method consist of a transmitting & detecting unit, with one set on each tire, as well as a receiving & displaying unit including a receiving unit, a main control unit and a displaying unit. A plug-in encoding memory is plugged into the receiving & displaying unit. One fixed ID code, which is the same as that for the above encoding memory, is available for each transmitting & detecting unit. When the power is on, the receiving & displaying unit reads the ID code in each plug-in encoding memory plugged into the socket of the displaying unit, and saves the information on the corresponding relationships between ID codes saved in memories and the tire identity. After receiving the signal from the transmission unit, it reads the ID codes in it, and judges whether these codes are identical with those in memories.