Abstract: A detection method of network anomaly and an anomaly detection apparatus are disclosed. In the detection method, one or more request intervals within a detection period are determined, where each of the request intervals is a time interval of two network requests from a network source. A network request anomaly from the network source is determined according to the request interval within the detection period.

Abstract: Provided are a silicon carbide crystal growth device and a quality control method. The device includes: an annealing unit, a crystal growth unit, an atmosphere control unit, and a transport system; the atmosphere control unit provides a gas environment with low water, oxygen and nitrogen; the transport system transports a plurality of target objects after high-temperature purification by the annealing unit to the atmosphere control unit; after assembling silicon carbide seed crystal and silicon carbide powder in a graphite crucible and covering with thermal insulation material to form a container inside the atmosphere control unit, the transport system transports the container to the crystal growth unit. The method uses a weighing system in a chamber of the crystal growth unit to detect a weight change of silicon carbide seed crystal and silicon carbide powder during a crystal growth process through a plurality of weight sensors of the weighing system.

Abstract: Embodiments of the disclosure provides a cell selection method, including: during performing a cell selection operation on multiple reference base stations, obtaining a signal indicator and a network congestion indicator corresponding to each of the reference base stations; and selecting a serving base station from the reference base stations based on the signal indicator and the network congestion indicator corresponding to the each of the reference base stations.

Abstract: An optimizing method of distributed training and a master computing apparatus are provided. In the method, a local model is trained by using one of multiple sample sets and a global parameter of a global model to generate a local parameter of the local model. One or more deviation parameters among the local parameter of multiple local models trained by the sample sets are determined. A distribution of the deviation parameter is far from a distribution of other local parameters, and the local parameter of the local models is used to update the global parameter of the global model. Accordingly, the prediction accuracy of the global model may be improved.

Abstract: A configuration method and a configuration unit are provided. The configuration method is for a configuration unit coupled to a cluster. The configuration method includes calculating a first node number at a first time instant, and selecting at least one first node corresponding to the first node number from at least one node of the cluster. The at least one first node is configured to run a plurality of network functions of a core network respectively. The coverage or processing capacity of the network of the cluster can be expanded or reduced by increasing or decreasing the total node number of the at least one node in the cluster. The dependence on data centers or telecommunication rooms can be reduced.

Abstract: A resource allocation method for a cloud environment includes steps performed by one or more servers. These steps include: obtaining an initial resource requirement, generating a first deployment parameter set according to the initial resource requirement by a first prediction model, configuring the cloud environment according to the first deployment parameter set by a resource allocator, obtaining and inputting the requests to a machine learning model in the cloud environment and generating a real resource requirement, generating a predicted resource requirement at least according to the real resource requirement by a second prediction model, when detecting that the cloud environment is in a busy state according to the predicted resource requirement by the resource allocator, generating a second deployment parameter set according to the real resource requirement by the first prediction model; and reconfiguring the cloud environment according to the second deployment parameter set by the resource allocator.

Abstract: A resource adjustment method for a radio access network includes obtaining a plurality of radio access network training information at a first time point; predicting a radio access network usage condition of a second time point according to the plurality of radio access network training information; and pre-adjusting the radio access network resource allocation of the second time point according to the radio access network usage condition at a third time point, so as to allocate a plurality of user equipments to a plurality of radio units and adjust an arrangement of computing resources of a distributed unit and a central unit; wherein the first time point is earlier than the third time point, and the third time point is earlier than the second time point.

Abstract: A detection method and an event detection system and an inference server are provided. The detection system includes a terminal device and an inference server. The terminal device generates first compressed data. The first compressed data is related to a sensing result of a physiological state or a motion state. The inference server decodes the first compressed data into reconstructed data via a decoder in an anomaly detection model, encodes the reconstructed data into second compressed data via an encoder, and determines an event of the physiological state or the motion state by an error between the first compressed data and the second compressed data. The anomaly detection model includes the decoder and the encoder. Accordingly, an amount of data can be reduced, and data protection is provided.

Abstract: A network management method and a network entity are provided. In the method, a detection result is obtained. One of multiple network slices is switched to another according to the detection result. The detection result is a result of detecting an image. Each network slice provides a network resource. The image is accessed through the network resource. Accordingly, a network setting parameter could be dynamically adjusted to save energy.

Abstract: A network management method and a network entity are provided. In the method, a detection result is obtained. One of multiple network slices is switched to another according to the detection result. The detection result is a result of detecting an image. Each network slice provides a network resource. The image is accessed through the network resource. Accordingly, a network setting parameter could be dynamically adjusted to save energy.

Abstract: A scheduling method for beamforming and a network entity are provided. In the method, a future location is predicted according to one or more past locations of a user equipment (UE). A precoder is determined according to the future location. A direction of a beam of a base station is determined according to the precoder. The past locations are locations of the UE at one or more past time points, and the future location is a location of the UE at a future time point. The precoder reflects a downlink channel state at the future time point. Accordingly, the communication quality can be improved.

Abstract: A resource adjustment method for a radio access network includes obtaining a plurality of radio access network training information at a first time point; predicting a radio access network usage condition of a second time point according to the plurality of radio access network training information; and pre-adjusting the radio access network resource allocation of the second time point according to the radio access network usage condition at a third time point, so as to allocate a plurality of user equipments to a plurality of radio units and adjust an arrangement of computing resources of a distributed unit and a central unit; wherein the first time point is earlier than the third time point, and the third time point is earlier than the second time point.

Abstract: A portable communication device contains a processor and a storage unit configured to store a number of applications executable by the processor. The communication device communicates with a server and further includes a receiver. The processor can determine whether one of applications belongs to a restricted category when an input unit receives a user input to start any application. The processor can obtain a current location of the portable communication device from the positioning unit, set up a connection with the server, and send a request including the current location to the server. The processor can determine whether the one of the applications are allowed to run in the current location according to a feedback from the server, and start the application if the application is allowed to run in the current location.

Abstract: A speech to text converting device includes a display, a voice receiving module, a voice recognition module, an identity recognition module, and a control module. The voice receiving module receives a voice signal. The voice recognition module converts the voice signal to voice data and produces text data corresponding to the voice data. The identity recognition module receives the voice signal and establishes an identity data corresponding to the voice signal. The control module displays the text data and the identity data together on the display.

Abstract: A speech to text converting device includes a display, a voice receiving module, and a voice recognition module, an input module, and a control module. The voice receiving module receives a speech within a certain period of time. The voice recognition module converts the speech to voice data. The control module establishes text data corresponding to the voice data and displays the text data, any inputted words, and the relevant time period.

Abstract: An electronic device browses Web albums. The electronic device includes a connecting module, a download module, a parser module, and a display. The connecting module connects to a Website. The download module downloads a first Hyper Text Markup Language (HTML) Web file of the Website associated with Web albums. The parser module parses the first HTML Web file to get Web album information. The display displays Web albums according to the Web album information.

Abstract: A desired serving temperature of a beverage contained in a flexible beverage bag for soft-sided container (20) is maintained for a prolonged period without undesirable leakage in a structure that includes an insulating container having a bottom wall (10), an upstanding, insulated side wall (12) defining a beverage bag receiving space (18) and having an upper opening (14) together with a closure (16) arranged for movement between positions opening and closing the upper opening (14). A rigid straw (42) is mounted on the container and has opposed ends (44,46) with one of the ends (44) having a sharp, lance-like tip located within the beverage bag receiving space (18) and the other end (46) extending away from the insulating container. A straw-like mouthpiece (50) is disposed on the other end (46) and a seal (68) is disposed about the end (44) that seals against the rigid straw (42) as well as the beverage bag (20) when the end (44) is pierced and enters the beverage bag (20).