Abstract: A user interface displays: a first column comprising non-editable input strings retrieved from a data field; a second column comprising editable output strings initialized from the data field; and an expression window displaying a transformation function ƒ. The computer iteratively processes user inputs, each user input i providing a sample row transformation to edit an ith output string ti. Some user inputs i designate a contiguous substring ssi of the corresponding input string si. The contiguous substring expresses a causal basis for transforming the input string si. into the output string ti. The computer updates the transformation function ƒ according to the provided sample row transformations so that: ƒ(s1)=t1, . . . , ƒ(si)=ti; the transformation function ƒ specifies text or string position of at least one contiguous substring; and ƒ has minimal branching among possible transformation functions that satisfy the samples.

Abstract: The present disclosure provides a smart refrigerator-based networking and control method, a smart refrigerator-based networking and control system, and a smart refrigerator. Wherein the smart refrigerator-based networking and control method for the smart refrigerator comprises obtaining device information of the smart refrigerator; receiving device information and network access request sent by a device to be connected to the network through a Bluetooth assembly; bundling device information of the device to be connected to the network and device information of the smart refrigerator, and generating bundling information; and sending device information of the device to be connected to the network, device information of the smart refrigerator, and the bundling information to a server, so the server responds to the network access request according to device information of the device to be connected to the network, device information of the smart refrigerator, and the bundling information.

Abstract: The present disclosure provides a smart refrigerator-based networking and control method, a smart refrigerator-based networking and control system, and a smart refrigerator. Wherein the smart refrigerator-based networking and control method for the smart refrigerator comprises obtaining device information of the smart refrigerator; receiving device information and network access request sent by a device to be connected to the network through a Bluetooth assembly; bundling device information of the device to be connected to the network and device information of the smart refrigerator, and generating bundling information; and sending device information of the device to be connected to the network, device information of the smart refrigerator, and the bundling information to a server, so the server responds to the network access request according to device information of the device to be connected to the network, device information of the smart refrigerator, and the bundling information.

Abstract: A blind signal separation method includes: performing noise reduction preprocessing on a detected voice signal, wherein the voice signal is a linear superposition signal of a plurality of simultaneous signal source voice messages; constructing, by means of non-Gaussian measurement, a target function for the preprocessed voice signal; estimating, by means of an iterative algorithm, an expectation-maximization separation matrix W of the target function; and deriving an estimated target separation signal U(n) from U(n)=WX(n), wherein X(n) is a vector constructed by the plurality of signal source voice messages.

Abstract: A voice control system, a wakeup method and wakeup apparatus therefor, an electrical appliance and a co-processor. The wakeup method comprises: a collection step for collecting voice information; a processing step: processing the voice information to determine whether the voice information contains a human voice; if so, separating a voice information segment containing the human voice, and entering a recognition step; the recognition step: performing wakeup word recognition on the voice information segment containing the human voice; if a wakeup word is recognised, then entering a wakeup step; and if no wakeup word is recognised, then returning to the collection step; and the wakeup step: waking up a voice recognition processor. Each part is designed in a modularized manner according to the method. The voice recognition processor only operates when voice recognition is required, avoiding ceaseless all-weather operation, and having reduced energy consumption.

Abstract: The invention relates to the field of voice control, and in particular, to a blind signal separation method and structure, a voice control system, and an electrical appliance assembly. The blind signal separation method comprises: performing noise reduction preprocessing on a detected voice signal, wherein the voice signal is a linear superposition signal of a plurality of simultaneous signal source voice messages (110); constructing, by means of non-Gaussian measurement, a target function for the preprocessed voice signal (120); estimating, by means of an iterative algorithm, an expectation-maximization separation matrix W of the target function (130); and deriving an estimated target separation signal U(n) from U(n)=WX(n), wherein X(n) is a vector constructed by the plurality of signal source voice messages (140). Noise interference in a home appliance working environment causes a reduction in speech recognition rates and affects voice control functions.

Abstract: An information pushing method and system for a display screen of a refrigerator, and a refrigerator having the same are provided. The method includes: collecting ingredient information of the refrigerator; uploading the ingredient information to a server; analyzing by the server the ingredient information uploaded this time and historically uploaded ingredient information so as to acquire ingredient pushing information; transmitting the ingredient pushing information to the refrigerator and pushing the ingredient pushing information through the display screen of the refrigerator.

Abstract: The overall health of an online service is determined using health information that is obtained from the individual components of the online service. For example, an overall health score for the online service may be determined by computing an average score using health scores that are received from the different components. The amount an individual component's health score affects the overall health score of the online service is configurable. In some cases, a health alert may be sent to the component(s) experiencing the problem as well as sending the health alert to the system level. In other cases, the alerts to the component level may be suppressed and the system level administrator receives the alert. A health alert may show information such as the overall health score, the health score for each individual component, a description of any detected problems, a graphical health map of the system, and the like.