Abstract: A multi-gateway networking system includes: a first class gateway; and at least one second class gateway connected to the first class gateway, wherein the first class gateway is configured to: schedule the second class gateway and receive, through the second class gateway, first information sent by a first sub-device; and generate a control instruction in response to determining that the first information satisfies a linkage rule, and send the control instruction to a second sub-device through the second class gateway, wherein the second sub-device and the first sub-device are connected to different second class gateways respectively.

Abstract: Methods and systems for tracking image senders using client devices are described herein. A computing system may receive an image containing a first watermark vector corresponding to a user account of an image sender. The computing system may convert the image to a frequency domain image that contains the first watermark vector. From the frequency domain image, the computing system may identify the first watermark vector. The computing system may compare the first watermark vector to each of a plurality of stored watermark vectors, each corresponding to a known user account, to determine a probability of a match. The computing system may determine the user account of the sender of the image by determining which of the plurality of stored watermark vectors has a highest probability of a match, and may send, to a workplace administrator platform, an indication of the user account.

Abstract: Methods and systems for tracking image senders using client devices are described herein. A computing system may receive an image containing a first watermark vector corresponding to a user account of an image sender. The computing system may convert the image to a frequency domain image that contains the first watermark vector. From the frequency domain image, the computing system may identify the first watermark vector. The computing system may compare the first watermark vector to each of a plurality of stored watermark vectors, each corresponding to a known user account, to determine a probability of a match. The computing system may determine the user account of the sender of the image by determining which of the plurality of stored watermark vectors has a highest probability of a match, and may send, to a workplace administrator platform, an indication of the user account.

Abstract: Methods and systems for tracking image senders using client devices are described herein. A computing system may receive an image containing a first watermark vector corresponding to a user account of an image sender. The computing system may convert the image to a frequency domain image that contains the first watermark vector. From the frequency domain image, the computing system may identify the first watermark vector. The computing system may compare the first watermark vector to each of a plurality of stored watermark vectors, each corresponding to a known user account, to determine a probability of a match. The computing system may determine the user account of the sender of the image by determining which of the plurality of stored watermark vectors has a highest probability of a match, and may send, to a workplace administrator platform, an indication of the user account.

Abstract: Methods and systems for tracking image senders using client devices are described herein. A computing system may receive an image containing a first watermark vector corresponding to a user account of an image sender. The computing system may convert the image to a frequency domain image that contains the first watermark vector. From the frequency domain image, the computing system may identify the first watermark vector. The computing system may compare the first watermark vector to each of a plurality of stored watermark vectors, each corresponding to a known user account, to determine a probability of a match. The computing system may determine the user account of the sender of the image by determining which of the plurality of stored watermark vectors has a highest probability of a match, and may send, to a workplace administrator platform, an indication of the user account.

Abstract: The invention discloses an STI stress effect modeling method and device of an MOS device, and belongs to the technical field of parameter extraction modeling of devices. The method comprises the following steps: introducing the influence of temperature parameters on the STI stress effect of the MOS device, so as to form a function showing that the STI stress effect of the MOS device changes along with the temperature parameters; extracting the model parameter Model1 of the MOS device at normal temperature; on the basis of the Model1, extracting the parameter Model2 that the STI stress affects the properties of the MOS device at normal temperature; and on the basis of the Model2, extracting fitting parameters of the MOS device in the function so as to acquire final model parameters. The device comprises a first module, a second module, a third module and a fourth module.

Abstract: The invention discloses an STI stress effect modeling method and device of an MOS device, and belongs to the technical field of parameter extraction modeling of devices. The method comprises the following steps: introducing the influence of temperature parameters on the STI stress effect of the MOS device, so as to form a function showing that the STI stress effect of the MOS device changes along with the temperature parameters; extracting the model parameter Model1 of the MOS device at normal temperature; on the basis of the Model1, extracting the parameter Model2 that the STI stress affects the properties of the MOS device at normal temperature; and on the basis of the Model2, extracting fitting parameters of the MOS device in the function so as to acquire final model parameters. The device comprises a first module, a second module, a third module and a fourth module.