959results about How to "Increase richness" patented technology

Enhanced delivery of services are provided through a wireless mobile device and one or more location service channels, preferably at the direction of the user of the mobile device requesting the desired service through common context-based user interfaces. The mobile device communicates with local and remote service providers. The context is determined by accessing information in the user profile, by sensors on the mobile device identifying items of interest, or by identifying the location of the mobile device. An aggregator server maintains a registry of location service channels and manages the access to the channels by the mobile device users and the service providers.

Enhanced delivery of services are provided through a wireless mobile device and one or more location service channels, preferably at the direction of the user of the mobile device requesting the desired service through common context-based user interfaces. The mobile device communicates with local and remote service providers. The context is determined by accessing information in the user profile, by sensors on the mobile device identifying items of interest, or by identifying the location of the mobile device. An aggregator server maintains a registry of location service channels and manages the access to the channels by the mobile device users and the service providers.

Cognitive biometrics comprises augmenting the richness of biometric signatures that can be extracted from mouse dynamics by introducing perturbations in the response of the computer mouse and measuring the motor responses of the individual user. User responses to unexpected and subtle perturbations (e.g., small changes in mouse velocity, position and / or acceleration) reveal new unique sources of information in the mouse movement signal that reflect the user's cognitive strategies and are inaccessible via existing mouse biometric technologies. A user's response to these perturbations contains information about intrinsic cognitive qualities that can be used as a robust biometric for personal authentication and to support profiling of the individual (e.g., gender, cultural background, cognitive or emotional state, cognitive quality etc.).

The invention provides a log analysis method and system, a terminal and a computer-readable storage medium. The log analysis method comprises the following steps of: screening target log data from a log system according to a screening rule; Classifying and processing the target log data to obtain log data of each category; Carrying out statistical analysis on each category log data according to apreset statistical rule to obtain a statistical result corresponding to each category log data; And comparing each of the statistical results with a corresponding preset threshold value, and outputting alarm information corresponding to the first class log data when a first statistical result exceeds the first preset threshold value, wherein the first statistical result corresponds to the first class log data. The invention can realize that the state data of the monitoring object can be screened out from the log system, and whether the alarm needs to be output is judged by comparing with the threshold value, and the abnormality can be found and handled in time.

Systems and methods for increasing an amount of fuel injected into a dedicated exhaust gas recirculation (EGR) cylinder in an engine are disclosed. In one example approach, a method comprises, prior to combustion, injecting a first amount of fuel to a dedicated EGR cylinder, and after combustion and during an expansion and / or exhaust stroke, directly injecting a second amount of fuel to the dedicated EGR cylinder.

[Problems] The present invention provides a filter containing built-in capsule in which a tobacco flavor enhancing liquid that can enhance flavor aspects such as taste, aroma, and richness is encapsulated, along with a cigarette and cigarette substitute comprising this filter.[Resolution means] The cigarette in which filter containing built-in capsule 1 according to the present invention is incorporated includes cut leaf 2, rolling paper 3, filter 4, and tip paper 5, with easily breakable capsule 6 incorporated in filter 4, and tobacco flavor enhancing liquid 8 including natural cacao extract encapsulated in film 7. When smoking, by pinching the filter part to crush capsule 6, film 7 bursts, causing tobacco flavor enhancing liquid 8 to ooze into filter 4 and enabling enhancement of the taste, aroma, richness, etc. specific to tobacco.

The invention belongs to the technical field of network security and communication, and discloses an encrypted traffic analysis feature extraction method and system, a storage medium and security equipment. The method comprises the steps: collecting original traffic data ; preprocessing the collected original data packet, and filtering traffic data of SSL / TLS encryption communication; performing deep packet analysis on the streaming data to generate a traffic analysis log; performing log aggregation according to the connection quadruple information and the index information in each log to forma flow feature call chain, and performing feature extraction according to the call chain to obtain an initial data set; and determining an optimal supervised learning classification algorithm in thecurrent environment, determining an optimal parameter by using a grid parameter optimization method, and evaluating the feature extraction accuracy by using a ten-fold cross validation method. According to the method, the classification effect is optimal by adopting the random forest algorithm, the obtained accuracy is as high as 99.96%, the result shows that SSL / TLS encryption features used by all malicious families are different, and the classification effect is remarkable.

The invention discloses a human body target tracking method based on Generative Adversarial Net (GAN) negative sample enhancement, a DRAGAN network model and an MDNet algorithm model which are built are pre-trained, then a target rectangular box of a human body target calibrated by the first frame is adopted to initialize the MDNet algorithm, a sample queue of the MDNet algorithm model and a training set of the DRAGAN network model are initialized, and the MDNet algorithm model is continuously adopted to track; and when the DRAGAN network model completes update training for the first time, a generator network thereof is adopted to generate a batch of negative samples as part of negative samples adopted in update training of the MDNet algorithm model, update training is performed on the MDNet algorithm model according to the need, and positive samples obtained according to a tracking result is periodically adopted to perform update training on the DRAGAN network model. The human body target tracking method based on GAN negative sample enhancement can improve the degree of accuracy of human body target tracking of the MDNet algorithm model, suppress tracking drifting, and enhance algorithm robustness.

The embodiment of the invention provides an Internet of Things system and terminals of IOT management method in the Internet of Things, and is used for reducing the workload of erection of the Internet of Things, and increasing the richness of terminals of IOT on an Internet of Things platform. A data processing method in the Internet of Things provided by the embodiment of the invention is applied to the Internet of Things system, and the Internet of Things system comprises a transmission gateway, an application layer protocol conversion module and a management platform, and the data processing method specifically comprises the following steps: receiving service data sent by first terminal equipment by the transmission gateway, and transmitting the service data to the application layer protocol conversion module by adopting a TCP / IP transmission protocol; converting the format of the service data by the application layer protocol conversion module according to a general interaction protocol to generate target service data, wherein the management platform and the application layer protocol conversion module uniformly adopt the general interaction protocol for application layer datainteraction; and transmitting the target service data to the management platform by the application layer protocol conversion module by adopting the TCP / IP transmission protocol.

The invention provides an SAR (Synthetic Aperture Radar) image change detection method based on a pyramid pooling twinning network, which mainly solves the problem of inaccurate result caused by the fact that the change detection precision depends on a difference graph in the traditional method. The method comprises the following steps: 1) generating a training sample, a test sample and a sample label; 2) constructing a deep pyramid pooling twin network; 3) constructing a classification network; 4) training the deep pyramid pooling twin network and the classification network by using the training samples and the sample labels to obtain a trained model. According to the method, the use of a difference graph can be avoided, the influence of the difference graph on the change detection resultis effectively solved, the accuracy of change detection is improved, and the method can be used for environmental detection and disaster detection.

The invention discloses a task-oriented text generation image network model, and aims to provide a text generation image network model for generating high-quality images consistent with text semanticsand rich in content. The invention is realized through the following technical scheme: a common sense reasoning module enriches and expands entities and entity attributes in natural language text description, and then respectively constructs an entity relationship scene graph and entity attribute semantic vectors for the natural language text description; the global generation model inputs the entity relationship scene graph into a GCN, respectively inputs the obtained embedded vectors into a mask regression network and a bounding box regression network, estimates a segmentation mask and a bounding box of each entity, fuses all entity layouts to form a scene layout, and generates an initial image in combination with a convolutional neural network; and the local refinement model takes theentity attribute semantic vector and the initial image feature mapping as input, and generates a high-quality image with rich and harmonious content in combination with the RRRN and the convolutionalneural network.

The present disclosure describes a method, an apparatus and a system of intelligent navigation. In one embodiment, a method includes: receiving a user inquiry from a client terminal; searching a navigation dictionary based on the user inquiry to obtain a recommendation result corresponding to the user inquiry, the navigation dictionary including an editor recommendation based on user behavior information; and sending the recommendation result to the client terminal. The present disclosure can enhance the accuracy, relevancy, richness and intelligence of the intelligent navigation, and reduce user search time as well as the search loading on the server.

The embodiment of the invention discloses a game data processing method and device, a computer and a readable storage medium. The method comprises the steps: responding to a game data loading requestfor a webpage simulation game, and displaying a game loading image in a webpage display page; acquiring user game data in a client game based on the game data loading request, calling a game engine, and acquiring game scene data generated based on the user game data from the game engine; and switching and displaying the game loading picture in the webpage display page into a game scene picture rendered by the game scene data, wherein the game scene picture is used for responding to game interaction operation associated with the webpage simulation game. By adopting the method and the device, the interactivity with the user during game interactive marketing is improved, and the richness of game propaganda content and the fluency of a display picture are improved.