Abstract: Security with dynamic privilege level assignment in a hybrid-cloud stack is provided. A request associated with a user is received. For the request, a mapping and an authority structure are retrieved, where the mapping identifies a plurality of services and the authority structure identifies requisite privilege levels of the plurality of services. For the user, an allowed privilege range is retrieved. A current privilege level is set to a minimum privilege level of the allowed privilege range. A requisite privilege level for the request is determined based on the requisite privilege levels of the plurality of services. In response to determining that the current privilege level is less than the requisite privilege level for the request, the current privilege level is escalated based on the allowed privilege range and the requisite privilege level for the request, and the request is processed using the escalated privilege level.

Abstract: Security with dynamic privilege level assignment in a hybrid-cloud stack is provided. A request associated with a user is received. For the request, a mapping and an authority structure are retrieved, where the mapping identifies a plurality of services and the authority structure identifies requisite privilege levels of the plurality of services. For the user, an allowed privilege range is retrieved. A current privilege level is set to a minimum privilege level of the allowed privilege range. A requisite privilege level for the request is determined based on the requisite privilege levels of the plurality of services. In response to determining that the current privilege level is less than the requisite privilege level for the request, the current privilege level is escalated based on the allowed privilege range and the requisite privilege level for the request, and the request is processed using the escalated privilege level.

Abstract: A method for cutting or extracting video clips from a video, including the audio content relevant to points of particular interest, and combining the same for instruction or training on particular points; a computing device applying the method extracts text information from the spoken audio content of a video to be cut and obtains multiple paragraph segmentation positions as candidates for inclusion in a desired and finished presentation by analyzing the information from text representing the spoken audio content, the analysis being carried out by a semantic segmentation model. Candidate items of text are obtained by isolating pieces of text according to the paragraph segmentation positions. Time stamps of the candidate text segments are acquired, and candidate video clips are obtained by cutting the video according to the acquired time stamps.

Abstract: A system and method for multimodal video segmentation in a multi-speaker scenario are provided. A transcript of a video with a plurality of speakers is segmented into a plurality of sentences. Speaker change information is detected between each two adjacent sentences of the plurality of sentences based on at least one of audio content or visual content of the video. The video is segmented into a plurality of video clips based on the transcript of the video and the speaker change information.

Abstract: A method, applied to an apparatus for mammographic multi-view mass identification, includes receiving a main image, a first auxiliary image, and a second auxiliary image. The main image and the first auxiliary image are images of a breast of a person, and the second auxiliary image is an image of another breast of the person. The method further includes detecting the nipple location based on the main image and the first auxiliary image; generating a first probability map of the main image based on the main image, the first auxiliary image, and the nipple location; generating a second probability map of the main image based on the main image, the second auxiliary image, and the nipple location; and generating and outputting a fused probability map based on the first probability map and the second probability map.

Abstract: A method for cutting or extracting video clips from a video, including the audio content relevant to points of particular interest, and combining the same for instruction or training on particular points; a computing device applying the method extracts text information from the spoken audio content of a video to be cut and obtains multiple paragraph segmentation positions as candidates for inclusion in a desired and finished presentation by analyzing the information from text representing the spoken audio content, the analysis being carried out by a semantic segmentation model. Candidate items of text are obtained by isolating pieces of text according to the paragraph segmentation positions. Time stamps of the candidate text segments are acquired, and candidate video clips are obtained by cutting the video according to the acquired time stamps.

Abstract: The invention discloses a sewage treatment process fault monitoring method based on fuzzy width adaptive learning model. Including “offline modeling” and “online monitoring” two stages. “Offline modeling” first uses a batch of normal data and 4 batches of fault data as training samples to train the network offline and label the data. After the network training is completed, the weight parameters are obtained for online monitoring. “Online monitoring” includes: using newly collected data as test data, using the same steps as offline training networks for online monitoring. The output result of online monitoring adopts one-hot encoding to realize zero-one discrimination of the output result of online monitoring, so as to realize fault monitoring. The present invention only needs to increase the number of enhanced nodes, reconstruct in an incremental manner, and does not need to retrain the entire network from the beginning.

Abstract: A device providing intelligent assistance in mobility for disabled people and others includes a mobility device and a lifting device detachably mounted on the mobility device. The lifting device includes a base frame, a retractable bracket structure, several wheels, a sitting pad, and a backrest. The wheels are mounted on a lower surface of the base frame and drive the lifting device to move. The retractable bracket structure is mounted on an upper surface of the base frame. The sitting pad is detachably mounted on the retractable bracket structure, and the backrest is rotatably mounted on the retractable bracket structure.

Abstract: An English pronunciation assessment method includes: receiving an audio file including an English speech and a text transcript corresponding to the English speech; inputting audio signal to one or more acoustic models to obtain phonetic information of each phone in each word, wherein the one or more acoustic models are trained with speeches spoken by native speakers and further with speeches spoken by non-native speakers without labeling out mispronunciations, such that a pronunciation error is detected more accurately based on the obtained phonetic information; extracting time series features of each word; inputting the extracted time series features of each word, the obtained phonetic information of each phone in each word, and the audio signal included in the audio file to a lexical stress model to obtain misplaced lexical stress in each of words in the English speech with different number of syllables without expanding short words to cause input approximation.

Abstract: The invent relates to an intelligent fault monitoring method based on high-order information enhanced recurrent neural network, for real-time fault monitoring of sewage treatment process. The invent includes two phases of offline modeling and online monitoring. In offline phase, the original data is extracted into high-dimensional high-order information features using OCIA, which can effectively deal with the non Gaussian feature of the data and solve the correlation between variables. Then the extracted features are trained by DRNN. In the online phase, the data are directly mapped to new high-order feature components, and to be discriminated in category by the DRNN network after trained offline. If there is no fault, then the results get into the monitoring model composed of simple OICA for unsupervised monitoring. If no fault is detected, it is determined that there is no fault in the process.

Abstract: A method and system for monitoring an e-commerce platform. The system includes a computing device and a visual sensor. The computing device includes a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: extract image keypoints from an image of the object captured by the visual sensor; retrieve a template of the object, where the template includes template keypoints of at least one template side surface of the object; pick two template keypoints from the template side surface and determine two image keypoints respectively matching the two picked template keypoints; build a bounding box of the object based on the two determined image keypoints; and refine the bounding box.

Abstract: The invention discloses a sewage treatment process fault monitoring method based on fuzzy width adaptive learning model. Including “offline modeling” and “online monitoring” two stages. “Offline modeling” first uses a batch of normal data and 4 batches of fault data as training samples to train the network offline and label the data. After the network training is completed, the weight parameters are obtained for online monitoring. “Online monitoring” includes: using newly collected data as test data, using the same steps as offline training networks for online monitoring. The output result of online monitoring adopts one-hot encoding to realize zero-one discrimination of the output result of online monitoring, so as to realize fault monitoring. The present invention only needs to increase the number of enhanced nodes, reconstruct in an incremental manner, and does not need to retrain the entire network from the beginning.

Abstract: A method, system, and computer program product may generate synchronous application logs. A client device may create a session with a server, and the client device may be granted privileges to receive a backend service log associated with the session. A socket accompanying the session may be created between the client and server for communicating the backend service log. The requests from the client device may be monitored at the server, and log information related to the requests may be extracted by the backend service associated with the backend service log. The extracted log information may be transferred, via the socket, to the client device.

Abstract: A method, applied to an apparatus for mammographic multi-view mass identification, includes receiving a main image, a first auxiliary image, and a second auxiliary image. The main image and the first auxiliary image are images of a breast of a person, and the second auxiliary image is an image of another breast of the person. The method further includes detecting the nipple location based on the main image and the first auxiliary image; generating a first probability map of the main image based on the main image, the first auxiliary image, and the nipple location; generating a second probability map of the main image based on the main image, the second auxiliary image, and the nipple location; and generating and outputting a fused probability map based on the first probability map and the second probability map.

Abstract: A device providing intelligent assistance in mobility for disabled people and others includes a mobility device and a lifting device detachably mounted on the mobility device. The lifting device includes a base frame, a retractable bracket structure, several wheels, a sitting pad, and a backrest. The wheels are mounted on a lower surface of the base frame and drive the lifting device to move. The retractable bracket structure is mounted on an upper surface of the base frame. The sitting pad is detachably mounted on the retractable bracket structure, and the backrest is rotatably mounted on the retractable bracket structure.

Abstract: A method, system, and computer program product may generate synchronous application logs. A client device may create a session with a server, and the client device may be granted privileges to receive a backend service log associated with the session. A socket accompanying the session may be created between the client and server for communicating the backend service log. The requests from the client device may be monitored at the server, and log information related to the requests may be extracted by the backend service associated with the backend service log. The extracted log information may be transferred, via the socket, to the client device.

Abstract: A card reader device which consumes almost no power until a user's access card is presented includes a power source module, a wireless tag reader, a switch module, and a sensor. The switch module can electrically connect and disconnect to the power source module and the wireless tag reader. The sensor can detect a change in a magnetic field caused by proximity of the access card. When the card reader device is not in use, the switch module is turned off, and the power source module does not provide power to the wireless tag reader. When the change in the magnetic field is detected by the sensor, a signal from the sensor turns on the switch module, and the power source module provides power to the wireless tag reader. A related access system employing the card reader device is also disclosed.

Abstract: A method and system for monitoring an e-commerce platform. The system includes a computing device and a visual sensor. The computing device includes a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: extract image keypoints from an image of the object captured by the visual sensor; retrieve a template of the object, where the template includes template keypoints of at least one template side surface of the object; pick two template keypoints from the template side surface and determine two image keypoints respectively matching the two picked template keypoints; build a bounding box of the object based on the two determined image keypoints; and refine the bounding box.

Abstract: A display device for displaying image is disclosed, which comprises: a control module configured to control display of images; and a power source system coupled to the control module and configured to provide system voltage to the control module. The power source system includes: a constant current control module; a first power module coupled to a first node; and a second power module coupled to the first node through the constant current control module. The constant current control module is configured to detect the system voltage provided for the control module, and based on the system voltage, determine whether the second power module charges the first power module with constant current.

Abstract: A display device for displaying image is disclosed, which comprises: a control module configured to control display of images; and a power source system coupled to the control module and configured to provide system voltage to the control module. The power source system includes: a constant current control module; a first power module coupled to a first node; and a second power module coupled to the first node through the constant current control module. The constant current control module is configured to detect the system voltage provided for the control module, and based on the system voltage, determine whether the second power module charges the first power module with constant current.