34results about How to "Effective attention" patented technology

A method and system for interacting with the systems of an aircraft using touch screen technology that includes a human machine interface device for interacting with aircraft systems. The human machine interface including an input / display device configured to provide for navigating among graphical representations of a plurality of aircraft avionics systems via the common human machine interface; selecting an aircraft system via at least one of a touch gesture and a voice command input to the input / display device; inputting an instruction to the selected aircraft system; and outputting information via at least one of visual, aural, haptic and tactile channels.

An electronic light source system is employed to create a flame-less tracer for a munitions projectile. The electronic light source system may be positioned in various locations and combinations of locations on a projectile (e.g., front, back, side, etc.) to enhance visibility of the projectile during flight. The electronic light source system provides a light source on the projectile that is visible to an observer at various viewing angles throughout the projectile flight without the environmental or safety issues presented by tracers using pyrotechnic materials. After assembly, the present system is encapsulated in glass or clear plastic to G-harden the present system, enabling the present system to sustain the large loads and stresses induced by gun launch. The present system may comprise a variety of light sources such as, for example, lasers, high output light-emitting diodes (LEDs), strobe lights, etc. The present system is capable of flashing the light sources at a variety of frequencies (e.g., 5 Hz, 20 Hz, etc.) to further attract the human eye. In addition, the present system presents the substantial benefit of being able to project light at various wavelengths outside the visible spectrum.

The invention relates to an interaction method based on mobile phone advertising, belonging to the technical fields of mobile communication, software technology and the like. The interaction method mainly comprises the following steps: carrying out user registration and installing advertisement playing software into a mobile phone; collecting personal information to form a user database; issuing advertisement files to a registered mobile phone; if a user clicks selection in an advertisement playing process, prompting a user to fill feedback information when set time is up; submitting the feedback information to an advertiser, and further responding by the advertiser; and giving reward to the registered user according to play time and number and quality feedback condition. By adopting the interaction method on mobile advertising, a consumer can be attracted to actively participate in an advertisement communication process, thus advertising information can be concerned more effectively, advertising communication has feedback and re-feedback functions, and unidirectional transmitting is changed into two-way interactive communication.

A multi-function desktop photo frame configured to interchangeably display graphic images in either a conventional paper format or digital format, and incorporating some of widely used office functions. In the preferred embodiment, the photo frame includes an AM / FM radio and an LCD screen on which an alphanumeric message, inputted by a user via a message input unit, scrolls for effectively reminding the user of important messages. Further, the photo frame may include other common office electronics such as a digital clock and / or a thermometer.

The invention discloses a CNNLSTM fan fault prediction method based on an attention mechanism, and the method comprises the steps: firstly collecting the time sequence data of a fan through an SCADA system; secondly, a random forest algorithm is used for carrying out feature correlation degree analysis on the fan time series data, features with high fan fault correlation degree are extracted, a new feature data set is formed, the new feature data set is input into a CNNLSTM model to be trained, and an Attention mechanism is introduced into the model, so that the model pays more attention to the features related to fan faults; interference of non-related features is reduced, so that the accuracy and generalization ability of the fan fault prediction model are improved; and finally, inputting a to-be-predicted fan data set into the trained model to obtain a fault prediction result. The model provided by the invention is a fan fault prediction model which is suitable for processing time series data, high in accuracy, strong in generalization ability and outstanding in comprehensive performance.

In one embodiment of the invention, an image processing apparatus provided with a display unit that displays an operation screen is provided with a user authentication unit that performs user authentication, an input unit that inputs comment information to the operation screen of the display unit, for each user that has been authenticated by the user authentication unit, and an output unit that outputs, among comment information that has been input by the input unit, comment information of a user that has been authenticated by the user authentication unit.

Systems, methods and techniques for vehicle accessories leveraging sensor(s) of a portable electronic device. The method of leveraging sensor(s) of a portable electronic device to enhance capabilities of an accessory comprising sensing parameters of a vehicle or its surrounding environment by one or more sensor(s) of the portable electronic device, determining a change in condition of the vehicle or its surrounding environment, generating a command or signal depending on the detected condition change, transmitting the generated command or signal to the accessory, and controlling the accessory to change its behavior or perform a predetermined process in accordance with the received signal or command.

The invention provides an image recognition model training method and device, and an image recognition method and device, and the method comprises the steps: obtaining a pre-trained image recognitionmodel and training data, wherein the training data comprises a sample image and standard description information corresponding to the sample image; inputting the sample image into the image recognition model, and obtaining description information of the sample image according to an attention adjustment mechanism of the model; and calculating a loss value according to the description information and standard description information corresponding to the sample image, and adjusting model parameters and attention adjustment mechanism parameters of the image recognition model. Through the attentionadjustment mechanism, the image recognition model can effectively pay attention to the local features of the sample image in the process of recognizing the sample image, repeated attention to the same local features of the sample image is avoided, the recognition accuracy of the image recognition model is improved, and the training efficiency of the image recognition model is improved.

The invention discloses an intelligent counter-control prompt method and device of a terminal. Present-location coordinate information and movement direction information of a terminal device are collected; whether prompt is needed is determined according to the present-location coordinate information and the movement direction information; and if prompt is needed, an intelligent counter-control prompt function is started. According to the method, a user is prompted or the user is made focus on the present practical condition more effectively according to the practical state of the terminal device carried by the user; accidents are avoided, and the risk that a pedestrian who lowers the head to watch a mobile phone tends to have accident is reduced.

The invention relates to a technology of access control systems, solves the problem that the traditional advisement in a cell is not easy to see by a user, and provides a method for sending advisement by a visual access control system. According to the technical scheme, the method for sending advisement by the visual access control system is characterized by comprising the following steps of: a, classifying advisement data and sending the advisement data to all outdoor machines by a visual interphone central management machine system; b, storing the advisement data by all outdoor machines; and c, when a user approaches or uses the outdoor machines, playing the stored advisement data by the outdoor machines. The invention has the advantages of effectively ensuring that the user pays attention to the advisement and being suitable for visual access control systems.

The invention provides a vehicle capable of more effectively making the driver observe that a cover is forgotten to be closed. When a seat (33) is closed, the height (H1) of a clearance part (139) between a cover hood (41) and a lower surface (128) of the seat (33) is smaller than the height (H2) of the cover (38) in the moving range of the cover (38) disassembled from an oil supply port (77). Ifthe cover (38) is arranged on the cover hood (41), the seat (33) directly inclines towards the closed direction, the lower surface (128) of the seat (33) comes into the cover (38) and the seat (33) is not smoothly closed. Thus the driver easily observes that the cover is forgotten to be closed. Therefore the vehicle capable of effectively making the driver observe that the cover is forgotten to be closed is provided.

The invention discloses an image sorting method and a system based on feature interaction and multi-task learning. Among them, the image sorting method based on feature interaction and multi-task learning includes extracting the visual features of the original image; Using the extracted image visual features to carry out region-based image visual feature interaction; Multi-task learning neural network is used to aggregate the image visual features after interaction. The aggregated image visual features are input to the trained classifier for classification, and the images are sorted accordingto the classification results. Which has the effect of more accurate sorting results.

The invention provides an entity relationship extraction method based on a multi-convolution-window size attention convolutional neural network. According to the entity relationship extraction method,a convolutional neural network based on a convolutional window size attention mechanism is provided; and compared with a kernel method and a feature method, the relation classification task is more efficient, so that automatic feature extraction can be realized, and the defects of complicated feature engineering and corresponding error propagation can be avoided, and the n-gram information most important for relationship classification in sentences can be effectively concerned, and the accuracy of classification targets is improved, and compared with a neural network based on RNN and word embedding attention, the entity relationship extraction method has the advantages of relatively low complexity and high running speed.

In one embodiment of the invention, an image processing apparatus is provided with a display unit that displays an operation screen, and is provided with an input processing unit that processes input of comment information to the operation screen of the display unit, and an output processing unit that outputs the comment information that has been input-processed by the input processing unit to the display unit.

A pet toy is provided, including a toy body having a lower case and an upper case, in which the bottom end of the lower case is formed as an arc-shaped end part; a counterweight unit disposed at the inboard bottom of the lower case and configured to locate the center of gravity of the toy body at the bottom of the lower case; and a decorative accessory disposed at the upper end of the toy body for attracting pets to play with the pet toy. An accommodating space is provided in the lower case, and an open hole is disposed at a side surface of the lower case for allowing a pet snack to drop out of the toy body through the open hole. The present disclosure is capable of effectively catching a pet's attention and stirring up the pet's interest in playing with the pet toy.

The present invention provides an electronic monitoring system for a nursing device, the system includes: a cloud server set on the Internet for receiving, storing and forwarding instructions and data; electronic monitoring equipment installed on the nursing device for Receive and process instructions from the cloud server, and send data to the cloud server; a wearable monitor, worn on the care receiver, is used to send the data collected from the care receiver to the electronic A monitoring device; an intelligent terminal, used to receive data from the cloud server, and send instructions for operating the electronic monitoring device to the cloud server. The invention solves the problems of camera monitoring, temperature monitoring feedback, humidity monitoring feedback, sleep feedback, distance anti-lost, automatic shaking through remote control and the like in the care field of care receivers.

The invention discloses a multifunctional street-crossing safety island, which belongs to the field of road traffic safety facilities. The multifunctional street-crossing safety island comprises an upper layer box body and a lower layer box body, wherein the upper layer box body is a hollow trapezoidal body, and the lower box body is a scalariform hexagonal body; every surface of the upper layer box body and the lower layer box body is provided with a luminous traffic sign board; and the top of the upper layer box body is provided with an intensive flashing caution light, the hollow part in the upper box body is provided with an alarm, the surface of the upper layer box body is provided with an alarm button, and the alarm is electrically connected with the alarm button. The multifunctional street-crossing safety island has a simple structure, is convenient to use, transport and maintain, is suitable for use at intersections of various roads in cities, can be used at night due to the luminous function, and greatly reduces the occurrence of traffic accidents.

The invention discloses an image classification method, a training method of an image classification model and equipment. The image classification method comprises the following steps: segmenting a to-be-classified image into a plurality of patches, and performing dimensionality reduction on each patch vector through a linear layer to obtain a first sequence vector; embedding a variable vector into the head of the first sequence vector to obtain a second sequence vector; initializing a position coding vector of the second sequence vector, and embedding the initialized position coding vector into the second sequence vector to obtain an input vector; inputting the input vector into an encoder of a Transform model to obtain an encoding vector; taking a variable vector of the head part of the encoding vector as a feature vector of the to-be-classified image; and inputting the feature vector into a classifier of a Transform model to obtain a prediction category probability of the to-be-classified image. According to the invention, the classification effect of image classification is improved.

An alarmed expression lamp is prepared as utilizing arrangement and combination of LED array or utilizing lamp cover with light transmission pattern to make lamp have relevant color and pattern to express alarmed expression used as anthropomorphic expression lamp. The prepared lamp can make information lamp have more hommization property in information telling service and can enhance information transmitting.

The invention provides a road network efficiency gain prediction method after breakthrough of a broken road. The method comprises the following steps: preprocessing road network vector data; extracting a broken road according to the road network; dividing the road network into a plurality of sub-communities; matching the broken road with the located sub-community; simulating a balance state after flow distribution in the sub-communities before and after a single group of broken roads is opened; according to the balance state of the road network before and after opening, calculating a broken road gain index; and processing the next single group of broken roads until the efficiency gain prediction of the road network after all broken road groups are connected is realized. According to the method, the road network is automatically divided into the sub-communities to calculate the gain after the broken end road is opened, so that the influence caused by the road network scale is avoided; road network nodes which are prone to causing cascade failure are effectively concerned through constraint on OD (Origin-Destination) requirements; and by constraining the gain statistical unit for the road through which the equivalent vehicle passes, the road without flow is prevented from participating in the operation, and the gain of opening the broken road to the road network efficiency can be effectively and reasonably measured.

In one embodiment of the invention, an image processing apparatus provided with a display unit that displays an operation screen is provided with a user authentication unit that performs user authentication, an input unit that inputs comment information to the operation screen of the display unit, for each user that has been authenticated by the user authentication unit, and an output unit that outputs, among comment information that has been input by the input unit, comment information of a user that has been authenticated by the user authentication unit.

The invention discloses an environment-friendly lake isolation device, and belongs to the technical field of lake isolation. The environment-friendly lake isolation device comprises an isolation pipe body, a rotating shaft is rotationally connected to the middle position in a warning box, the lower end of the rotating shaft is sleeved with a bevel gear A, and the upper end of the rotating shaft penetrates through the inner wall of the warning box, extends to the outer wall of the warning box and is welded with a rhombic warning mirror; the middle part of the left side of the warning box is rotatably connected with a middle shaft, and the left end of the middle shaft penetrates through the inner wall of the warning box, extends to the outside and is sleeved with a transmission gear A. The right end of the sliding rod penetrates through the outer wall of the warning box, extends to the inside and is welded with a sharp mouth, a spring is arranged on the left side of the sharp mouth, a limiting plate is welded to the left end of the sliding rod, and a warning board is arranged in the middle of the upper side of the limiting plate through a fixing column. The structures are closely fit, the device effectively attracts the attention of tourists through the rhombic warning mirror and warns passersby in cooperation with the warning board, the device effectively attracts the attention of the tourists, the effect of warning the tourists about the dangerous area in the lake is improved, and potential safety hazards are avoided.

A decorative humidifier is provided that utilizes the structural features of common houseplants in a new and advantageous ways by providing stalks or stems to form hollow water vapor conduits for humidifying vapor. A planter conceals a water source for the humidifier. Flowers at the end of the stems may serve as water vapor exits. Particular plants may be chosen for advantageous features, such as long and numerous stems and flowers that may serve as an inconspicuous vapor exits. A drying unit may be connected to the vapor tube in order to force dry air through vapor channels to prevent growth of microbes and accumulation of deposits. The natural features of a chosen plant are utilized to create a synergy between aesthetics and function in a decorative humidifier.

The invention provides a method for predicting the efficiency gain of a road network after the broken road is opened, which includes preprocessing of the road network vector data; extracting the broken road according to the road network; dividing the road network into several sub-communities; Match the sub-communities; simulate the equilibrium state of the traffic distribution in the sub-community before and after the opening of a single group of dead-end roads; calculate the gain index of the dead-end roads according to the balance state of the road network before and after the opening; The efficiency gain prediction of the road network is achieved until all the dead-end road groups are opened up. The invention automatically divides the road network into sub-communities to calculate the gain after the broken road is opened up, so as to avoid the influence brought by the scale of the road network; and by constraining the OD requirements, effectively pay attention to the road network nodes that are prone to cascading failures; By constraining the gain statistical unit to be the road with the equivalent of vehicles passing through, it avoids the road without traffic to participate in the calculation, and can effectively and reasonably measure the gain of the road network efficiency by opening the dead road.