Abstract: A full-electric drive cementing control system is disclosed.

Abstract: The present disclosure provides a video generation method and apparatus, a device, and a storage medium. The method includes: playing a first video for prompting a video taking style on a video taking page in the form of a floating window, wherein the video taking page presents a taken image preview region for presenting a taken image in preview and a video taking control; recording, in response to a triggering operation on the video taking control, the taken image in the taken image preview region to generate a second video, wherein the second video and the first video have a same style. In this way, the second video is taken by playing, on the video taking page, the first video used for prompting the video taking style, so that an ordinary user can be guided to take a high-quality video, and the video taking experience of the user is improved.

Abstract: A video editing method and apparatus, a computer readable storage medium, a device, and a computer program product are provided. The method includes: displaying a material addition page, in response to a preset edition operation for a first video editing template; acquiring a user material corresponding to the first video editing template, based on the material addition page; and generating a first video corresponding to the first video editing template according to the user material. The material description information corresponding to the first video editing template is displayed on the material addition page, and the material description information is used to describe a content feature of a user material. The first video is a video edited from the user material according to an editing operation indicated by the first video editing template.

Abstract: Receive, by a price calculation microservice, tenant user input from a particular tenant of a multi-tenant system. Generate, by the price calculation microservice, a particular charge model based on the tenant user input. Detect, by a usage microservice, a usage event associated with a customer of the particular tenant of the multi-tenant system. Receive, by a rating microservice, a rating request, the rating request being received in response to the detecting the usage event. Calculate, by the price calculation microservice in response to the receiving the rating request, a usage charge for the usage event based on the particular charge model. Store, by the rating microservice, the usage charge. Generate an invoice based on the usage charge stored by the rating microservice. Provide the invoice to the customer of the particular tenant of the multi-tenant system.

Abstract: Receive, by a price calculation microservice, tenant user input from a particular tenant of a multi-tenant system. Generate, by the price calculation microservice, a particular charge model based on the tenant user input. Detect, by a usage microservice, a usage event associated with a customer of the particular tenant of the multi-tenant system. Receive, by a rating microservice, a rating request, the rating request being received in response to the detecting the usage event. Calculate, by the price calculation microservice in response to the receiving the rating request, a usage charge for the usage event based on the particular charge model. Store, by the rating microservice, the usage charge. Generate an invoice based on the usage charge stored by the rating microservice. Provide the invoice to the customer of the particular tenant of the multi-tenant system.

Abstract: The present invention relates to a clustering method based on iterations of neural networks, which comprises the following steps: step 1, initializing parameters of an extreme learning machine; step 2, randomly choosing samples of which number is equal to the number of clusters, each sample representing one cluster, forming an initial exemplar set and training the extreme learning machine; step 3, using current extreme learning machine to cluster samples, which generates a clustering result; step 4, choosing multiple samples from each cluster as exemplars for the cluster according to a rule; step 5, retraining the extreme learning machine by using the exemplars for each cluster obtained from step 4; and step 6, going back to step 3 to do iteration, otherwise obtaining and outputting clustering result until clustering result is steady or a maximal limit of the number of iterations is reached.

Abstract: Receive, by a price calculation microservice, tenant user input from a particular tenant of a multi-tenant system. Generate, by the price calculation microservice, a particular charge model based on the tenant user input. Detect, by a usage microservice, a usage event associated with a customer of the particular tenant of the multi-tenant system. Receive, by a rating microservice, a rating request, the rating request being received in response to the detecting the usage event. Calculate, by the price calculation microservice in response to the receiving the rating request, a usage charge for the usage event based on the particular charge model. Store, by the rating microservice, the usage charge. Generate an invoice based on the usage charge stored by the rating microservice. Provide the invoice to the customer of the particular tenant of the multi-tenant system.

Abstract: The present invention relates to a clustering method based on iterations of neural networks, which comprises the following steps: step 1, initializing parameters of an extreme learning machine; step 2, randomly choosing samples of which number is equal to the number of clusters, each sample representing one cluster, forming an initial exemplar set and training the extreme learning machine; step 3, using current extreme learning machine to cluster samples, which generates a clustering result; step 4, choosing multiple samples from each cluster as exemplars for the cluster according to a rule; step 5, retraining the extreme learning machine by using the exemplars for each cluster obtained from step 4; and step 6, going back to step 3 to do iteration, otherwise obtaining and outputting clustering result until clustering result is steady or a maximal limit of the number of iterations is reached.

Abstract: A computer system for evaluating transactions in a network includes a storage medium, one or more processors coupled to said storage medium, and computer code stored in said storage medium. Computer code, when retrieved from said storage medium and executed by said one or more processor, causes the system to receive a plurality of transactions over the network, and automatically generating rules for evaluating the transactions, using the computer system. Each of the rules includes variables and partition of values of the variables, each partition having an assigned score. The computer system also automatically combining the rule scores to form a final score.

Abstract: A composite marine bacterial liquid for the synergic degradation of high-molecular-weight polycyclic aromatic hydrocarbons (HMW PAHs) and the preparation method thereof. The composite marine bacterial liquid is generated by mixing the fermented culture liquid of a stain of Cycloclasticus sp. PY97M and a stain of Marinobacter sp. D15-8W, the cell concentration of each is 107-109 CFU/mL. The preparation method includes: inoculating the seed liquid of Cycloclasticus strains and Marinobacter strains individually into the sodium acetate medium or M8 medium, fermenting under the condition of defoaming by flowing addition of defoamer, and mixing the fermented cultures to obtain the composite marine bacterial liquid, then preparing a 5-fold concentrated liquid by centrifuging and storing at 4° C.

Abstract: A composite marine bacterial liquid for the synergic degradation of high-molecular-weight polycyclic aromatic hydrocarbons (HMW PAHs) and the preparation method thereof. The composite marine bacterial liquid is generated by mixing the fermented culture liquid of a stain of Cycloclasticus sp. PY97M and a stain of Marinobacter sp. D15-8W, the cell concentration of each is 107-109 CFU/mL. The preparation method includes: inoculating the seed liquid of Cycloclasticus strains and Marinobacter strains individually into the sodium acetate medium or M8 medium, fermenting under the condition of defoaming by flowing addition of defoamer, and mixing the fermented cultures to obtain the composite marine bacterial liquid, then preparing a 5-fold concentrated liquid by centrifuging and storing at 4° C.

Abstract: In one arrangements there is provided a communications method (10). The method (10) includes sending data (14) in a phase shift keyed form (16) over a power line carrier (22) and sending the same data (14) in a frequency shift keyed form (20) over the same power line carrier (22).

Abstract: The present invention relates to communications devices and methods, particularly in the field of power line networks. The invention has a number of aspects, which in one form, relate to a communication device and/or methods adapted for the automatic meter reading, data concentrator, home gateway, IR gateway and home automation, such as by way of example power point, light switches, curtain control, gas valve control, air conditioner & heater control, remote device and/or appliance control and/or industrial control markets. In a specific form, the invention and one or any combination of its aspects may reside in a power line modem.

Abstract: A comprehensive, practical and efficient architecture for a DSR client and server development platform is disclosed. A system comprising: DSR client module for capturing speech, extracting speech features, interpreting markup content and displaying content; DSR gateway module coupled for communication with the DSR client module, the DSR gateway module for receiving a markup document, interpreting tag elements of the markup document, and dynamically generating grammar from the markup document, and controlling display content navigation by speech recognition; and DSR document server coupled for communication with the DSR gateway module, the DSR document server for processing requests from the DSR gateway module and for producing a markup document in response.

Abstract: In a communication system, a subscriber unit includes a storage device storing an application program to determine for transmission a current reserved bandwidth and a transmission parameter based on a quality of based on a quality of service profile, and an adapter to communicate data over a wireless network (e.g., a general packet radio service network) that supports a service, satisfying a reliability requirement for the service. The adapter may dynamically adjust the transmission parameter for the transmission before retransmitting one or more packets of data, e.g., at a rate and retransmission times commensurate with the current reserved bandwidth, and the reliability requirement in addition to the a current quality of service profile, ensuring a service level which otherwise cannot be provided by an infrastructure negotiated quality of service, especially in relatively shorter flows of data.

Abstract: In a communication system, a subscriber unit includes a storage device storing an application program to determine for transmission a current reserved bandwidth and a transmission parameter based on a quality of based on a quality of service profile, and an adapter to communicate data over a wireless network (e.g., a general packet radio service network) that supports a service, satisfying a reliability requirement for the service. The adapter may dynamically adjust the transmission parameter for the transmission before retransmitting one or more packets of data, e.g., at a rate and retransmission times commensurate with the current reserved bandwidth, and the reliability requirement in addition to the a current quality of service profile, ensuring a service level which otherwise cannot be provided by an infrastructure negotiated quality of service, especially in relatively shorter flows of data.

Abstract: A comprehensive, practical and efficient architecture for a DSR client and server development platform is disclosed. A system comprising: DSR client module for capturing speech, extracting speech features, interpreting markup content and displaying content; DSR gateway module coupled for communication with the DSR client module, the DSR Gateway Module for receiving a markup document, interpreting tag elements of the markup document, and dynamically generating grammar from the markup document, and controlling display content navigation by speech recognition; and DSR document server coupled for communication with the DSR Gateway Module, the DSR document server for processing requests from the DSR gateway module and for producing a markup document in response.