1775results about How to "Reduce the cost of training" patented technology

An integrated surveillance system combining video surveillance and data from other sensor-based security networks is used to identify activities that may require attention.

A system and method for manipulating computer data using a new GUI element is disclosed. In a particular embodiment, the new GUI element is a composite of a traditional GUI button control and a traditional GUI slider control. In one embodiment, a composite slidable button control appears and functions similar to a traditional button control on the GUI. Dragging the composite control past its predetermined anchor distance un-anchors the composite control allowing it to travel similar to a traditional slider control, optionally constrained in direction(s) and distance(s) by predetermined settings. During the slider adjustment phase, the composite control can optionally overlap other GUI elements realizing a more compact and efficient GUI appearance. In another embodiment, a composite clickable slider control appears and functions similar to a traditional slider control on the GUI. Clicking on the composite control's slider handle invokes the button functionality while dragging the handle invokes the slider functionality, again affording the composite control the ability to function as both a button and a slider control.

A system and method for adaptive commerce is disclosed. Adaptive commerce enables recommendations of products or services based on usage behaviors and commercial contextual information. Commercial contextual information may include the business environment of the recommendation recipient, purchase histories, and product or service attributes. Bundles of products and / or services, or specific product or service configurations may be recommended. Corresponding prices may be determined in accordance with behavioral inferences and commercial contextual information.

A system and method for computer-implemented adaptive videos selects and arranges video elements in media instances in accordance with inferred preferences based, at least in part, on usage behaviors. Variations of the system and method include automatically selecting and / or arranging the video elements in accordance with the contents of the video elements, physical location, and physiological responses. Soundtracks may be selected in accordance with selected video elements. Information as to why video elements were selected for inclusion in media instances may be provided to media instance recipients.

The invention relates to an intelligent training system for a vehicle driver based on an actual vehicle. The intelligent training system comprises a vehicle-mounted intelligent training subsystem, a data processing subsystem, an operation management and control subsystem and a system-level data communication subsystem, wherein the vehicle-mounted intelligent training subsystem is mounted on the actual vehicle and is used for training interactive driving of the driver and acquiring and reporting data of a driver training process; the data processing subsystem manages basic information and is used for receiving, storing and processing the data of the training process acquired and reported by the vehicle-mounted intelligent training subsystem; the operation management and control subsystem monitors an operated state and a running state of the vehicle in real time and remotely controls the monitored vehicle according to actual conditions; the vehicle-mounted intelligent training subsystem is connected with the data processing subsystem and the operation management and control subsystem through the system-level data communication subsystem and realizes bidirectional information interaction.

The invention discloses a line polling management system, which comprises an acquisition module (301), a polling locus analysis module (303) and a polling evaluation analysis module (304), wherein the acquisition module (301) is sued for acquiring polling information in a polled line, and the polling information at least comprises longitude and latitude information; the polling locus analysis module (303) is used for dividing a pre-generated line map into a plurality of grids, generating a polling locus according to the polling information acquired by the acquisition module (301), matching the polling locus and the grids and determining a candidate line to be analyzed; and the polling evaluation analysis module (304) is sued for calculating the distance between the polling locus point and the evaluation point of the candidate line and determining that the polling locus point covers the evaluation point if the distance is smaller than the preset threshold value. The invention also discloses a line polling management method. According to the scheme, the system and the method can greatly simplify the operation of polling personnel, can adapt to various environment conditions, have low cost, and are easy to popularize.

An integrated surveillance system combining video surveillance and data from other sensor-based security networks is used to identify activities that may require attention.

The invention relates to an image conversion method. The method comprises the following steps: obtaining a current image to be processed, wherein the current image to be processed comprises a face part; inputting the current image to be processed to a trained target face image conversion model, wherein the trained target face image conversion model is used for converting the face part of the inputimage from a first style to a second style, and the trained target face image conversion model is trained by an original face image conversion model and a discrimination network model; and obtaininga target style face image output by the trained target face image conversion model. The image conversion method does not need to label the training samples, and is low in training cost and high in accuracy. Besides, the invention also provides an image conversion device, computer equipment and a storage medium.

The related simulation training device for Ar-arc welding operation comprises: a simulation torch with arc-striking switch, a simulation solder wire, some pieces, a master-control computer, a detector for the torch and wire position, and a helmet with a display connected with former computer to display the welding process menu. This invention applies new devices to improve current training with less cost and well efficiency.

The invention discloses a medical anatomy auxiliary teaching system based on augmented reality, and relates to the field of biomedical engineering. The system consists of intelligent glasses, an anatomy instrument, a teacher control unit, a wireless router, and a medical image scanning device. A three-dimensional virtual model (vessels, muscle and skeleton) is built through the anatomy information obtained by the medical image scanning device and modeling software. The three-dimensional virtual model and a real anatomic site in an operation vision are integrated and stacked, thereby enabling students to see a subcutaneous internal structure. Meanwhile, the system can obtain the precise spatial information of the anatomy instrument relative to the anatomic site, achieves the augmented display of the operation vision, and has three teaching modes: discovery learning, interactive training, examination and evaluation. The system can assist students carry out theory learning before operation, interactive guide in operation and intelligent estimation after operation, enables the anatomy operation to be standard, improves the operation precision, and reduces the training cost.

The invention provides a welding operation simulator for CO2 gas shield arc welding. The simulator comprises a control cabinet, an operation console, and a simulation welding gun. The simulation welding gun includes a welding gun rod, a handle, an arc plastic housing, an electric touch pen, a spring, a mobile copper sheet, an inductive proximity switch, an inclination angle sensor, and a nozzle. One end of the electric touch pen is fixedly connected with the mobile copper sheet and the electric touch pen passes through a center of the nozzle that is connected with the mobile copper by the spring. The inductive proximity switch is installed at one end of the welding gun rod and the double-shaft inclination angle sensor is installed at the other end of the welding gun rod. One end of an insulating cylinder is sleeved around the periphery of the nozzle and the other end of the insulating cylinder is sleeved around the periphery of the welding gun rod, wherein the inductive proximity switch is installed at the welding gun rod. One end of the arc plastic housing is connected with the welding gun rod and the other end of the arc plastic housing is connected with the handle. The inductive proximity switch and the double-shaft inclination angle sensor are connected with a computer in the control cabinet; besides, the operation console comprises a touch screen that is used as a welding test panel, wherein the touch screen is connected with the computer in the control cabinet. According to the invention, a training cost is substantially reduced; meanwhile, the training can be carried out safely and efficiently.

The invention provides an energy utilization method of carbon dioxide zero-emission type organic wastes, comprising the following steps of: (1) collecting and pretreating raw materials; (2) preparing hydrogen by anaerobic fermentation and purifying hydrogen; (3) fermenting methane and generating power by the methane; (4) treating biogas slurry and fixing carbon dioxide with microalgae; (5) processing biogas residues and planting energy grass; and (6) recycling afterheat. The method is suitable for treating various types of organic wastes, can be used for treating agricultural organic wastes, industrial organic wastes, domestic organic garbage, mud, and the like and the industries of developing new energy, and the like. The method can carry out a concrete application example of cyclic economy, eliminates environmental pollution, obtains clean energy at the same time, has no greenhouse gas emission in the process and can realize three effects of treating wastes, generating renewable clean energy and reducing carbon dioxide emission.

The embodiment of the invention provides an image foreground and background segmentation network model training method, an image foreground and background segmentation method, an image processing method and device, and a terminal device. The image foreground and background segmentation network model training method comprises the following steps: obtaining the eigenvectors of a sample image to be trained; performing convolution on the eigenvectors to obtain the convolution results of the eigenvectors; magnifying the convolution results of the eigenvectors; determining whether the magnified convolution results of the eigenvectors satisfy the convergence conditions or not; if so, completing the training of the convolutional neural network model used for segmenting the foreground and background of the image; and if not, adjusting the parameters of the convolutional neural network model according to the convolution results of the amplified eigenvectors and performing iteration training on the convolutional neural network model according to adjusted parameters of the convolutional neural network model until the convolution results satisfy the convergence conditions. By means of the image foreground and background segmentation network model training method, the training efficiency of the convolutional neural network model is improved, and the training time is shortened.

The invention discloses a distributed well drilling simulation system and an operation method. The distributed well drilling simulation system comprises a choke-line manifold (101), a high pressure manifold (102), a blowout preventer console (103), a flow blocking machine console (104), a long-distance console (105), a driller console (106), a teacher console (107) and a figure projecting unit (108), wherein the driller console (106), the long-distance console (105), the blowout preventer console (103), the flow blocking machine console (104), the choke-line manifold (101) and the high pressure manifold (102) are interconnected through a PPI (processor / peripheral interface) protocol, and the teacher console (107) is connected with the PPI protocol through a PPI interface. The operation method comprises the steps of drilling down, pilling out of a hole, drilling, accident and complex condition processing, well shutting, well killing and the like. The invention has the advantages of realizing the simulation of a top driving well drilling simulation with highly simulation, enhancing the liveness of teaching and training, shortening training period and reducing the training cost.

The invention discloses a pretreatment method for effectively saccharifying lignocellulose, particularly discloses a pretreatment method of lignocellulose with room-temperature light-concentration lye, characterized in the method comprises the steps of coarse grinding, lye wetmilling, alkali recovery and enzymolysizing. The ground lignocellulose is mixed with univalent metal lye having a concentration of 0.1% to 3%, solid and liquid are separated under room temperature after wet grinding, wherein the liquid is used for recovering univalent metal lye, and the solid, namely the modified lignocellulose, is used for further enzymolysizing for preparing liquid glucose. According to the invention, lignocellulose is used as the raw material, room temperature condition without external heating can be selected, low-concentration lye is pretreated, the lye can be effectively recovered, the enzymolysis efficiency is improved, the glucose yield is increased, the cost is lowered, the economical efficiency is enhanced, and drawbacks of high energy consumption, low glucose recovery rate, and high equipment requirements in current lignocellulose pretreatment method are made up.

The invention discloses a full-three-dimensional real-time drilling simulation method, comprising the following steps: (1) a three-dimensional drilling solid model bank is built by adopting a three-dimensional animation modeling method; (2) a graphics processor is specially arranged, the graphics processor comprises a graphics drawing program and a scene simulation control program; (3) the scene simulation control program is communicated with an external mast control program according to given data format, so as to obtain the real-time animation commands and data; (4) scene simulation control program sends out an operational instruction to the graphics drawing program, and the graphics drawing program realizes drilling simulation animation drawing and display. In the invention, based on the computer simulation technology, by taking the practical operational flow of the drilling operation filed as reference, the drilling process and the operation method can be simulated vividly, and high-quality graphics animation is generated for the training of technical skills of operating personnel at the drilling site and students, the training effect is improved, the training period is shortened and the training cost is reduced.

The invention relates to the field of spatial information data processing, in particular to a space object three-dimension (3D) measurement method based on high-precision and high-density laser point cloud and digital measurable images which are obtained by a movable measurement system. The method is characterized by comprehensively utilizing the laser point cloud and digital measurable image data which are obtained by a movable laser radar system, taking the high-precision and high-density laser 3D point cloud as the actual acquisition target and identifying and operating the target with the help of the digital measurable images to achieve the aim of precise measurement of the 3D objects. The method has the following beneficial effects: a brand-new concept of measuring real objects by observing real scenes is put forward; the advantages of high density and high precision of the laser point cloud and easy identification and operation of the digital measurable images are fully utilized to realize global operation based on the digital measurable images and local precise measurement based on the laser point cloud, thus effectively solving the problems of slow access, fussy processing and difficult operation of massive point cloud data; and popularization and application of laser radar technology are promoted.

The invention discloses a development method of an electromechanical device model dismantling training system under a virtual roaming scene, which is used for the management of the training for the engineering personnel of mechanical manufacturing, electric power production and the like on the aspect of the repairing such as dismantling and assembling. The electromechanical device model dismantling training system comprises a virtual roaming scene module, a part dismantling demonstration module, an interaction interface progress module and a background database management module. Through the combination of virtual reality and visualized programming technology, interactive-type virtual simulation training is provided for equipment repairing personnel and management personnel of machinery and electric power engineering, and the electromechanical device model dismantling training system has advantages of high training efficiency, wide application range, low training cost and the like. Especially for the electromechanical equipment with a complicated structure feature, the digitalized training and management for dismantling and assembling components in a virtual reality environment can be realized through the electromechanical device model dismantling training system.

A system and a method for developing and dynamically constructing multi-tiered distributed computing applications using a framework which allows the major elements involved in enterprise software applications, namely, the user interface, the data access, and the processing logic, to be independently developed. Moreover, the applications are dynamically created at time of use with pre-built software components or objects. The specifics of the applications such as functions, capabilities, user interface (UI) characteristics, etc., may depend on, for example, the user identity, the user preferences, and the terminal capability. Software development cost and turn-around time are reduced, promoting consistent UI design thus reducing user training cost, and allowing the applications to be dynamically created according to the user profile.

The invention discloses an intelligent mobile device-based storage intelligent scheduling monitoring management method. A business system control terminal sends out a control instruction according to an actual demand; an intelligent scheduling monitoring management platform pre-stores basic information of an intelligent mobile device and basic information of goods shelves, goods and trays in a storage, and receives and sends the control instruction of the business system control terminal; and the intelligent mobile device receives the control instruction sent by the intelligent scheduling monitoring management platform in real time through a wireless network and executes operation corresponding to the control instruction to carry the goods, and a running route and a running state of the intelligent mobile device are fed back to the intelligent scheduling monitoring management platform in real time through the wireless network. The invention furthermore discloses an intelligent mobile device-based storage intelligent scheduling monitoring management system. The method and the system have the beneficial effects that a framework is simple, the expansibility is high, storage management automation and intelligentization are realized, high-speed efficient storage operation is realized, and operation costs are reduced to the maximum extent.

The invention discloses a whole process management and control-based environment sampling management system and method. The system comprises an environment sampling whole process management system, a laboratory data management system, a background database management system, one or more embedded system secondary development-based field sampling handheld management terminals, one or more cloud information distribution systems, one or more directed wireless data reception / transmission ends, one or more remote sampling terminals and one or more remote sampling tools, wherein the one or more cloud information distribution systems are supplied to the public for accessing environment sampling test data and reports, and the one or more directed wireless data reception / transmission ends are used for field short-distance data transmission. According to the system and method disclosed by the invention, the whole process management and control in an environment sampling process can be realized by utilizing technological means such as real-time video uploading, two-dimensional code encryption and task pushing.

The invention discloses an intelligent learner-driven vehicle assisted teaching system. The intelligent learner-driven vehicle assisted teaching system includes a vehicle-mounted host, a satellite positioning system, a vehicle operating state information acquisition processing module, a communication device, an engine flameout control device and an engine flameout remote controller, wherein the satellite positioning system, the vehicle operating state information acquisition processing module and the communication device are all in communication connection with the vehicle-mounted host, the engine flameout control device is in communication connection with the vehicle operating state information acquisition processing module, and the engine flameout remote controller is in wireless communication connection with the engine flameout control device. With the satellite positioning technology-based intelligent learner-driven vehicle assisted teaching system of the invention adopted, the driving operation of a driver can be regulated, teaching quality can be improved, the training cost of a driving school can be reduced, and even autonomous training of learners with no coaches on vehicles accompanied can be realized. The popularization and application of the intelligent learner-driven vehicle assisted teaching system of the invention will bright great economic benefits and social benefits.

The invention provides an energy utilization system of organic wastes with zero emission of carbon dioxide, which organically combines anaerobic fermentation hydrogen production, methane fermentation, CO2 absorption, microalgae fixation CO2, biogas liquid treatment and energy grass planting. The system is suitable for treating various types of organic wastes, can be applied to the treatment of agricultural organic wastes, industrial organic wastes, domestic organic wastes, slurry and the like, and the industries, such as new energy development. Through the application of the invention, the specific application demonstration of recycling economy can be carried out, clean energy is obtained while eliminating environmental pollution, no greenhouse gas emits in the process, and the triple effects of wastes treatment, production of clean and renewable energy sources and reduction of carbon dioxide emission can be realized.

The invention relates to an unmanned aerial vehicle maneuvering target tracking method based on DDPG transfer learning, and the unmanned aerial vehicle maneuvering target tracking method carrying outtask decomposition, initializes an environment state, neural network parameters and other hyper-parameters, and carries out the training of a neural network. At the beginning of each round, the unmanned aerial vehicle executes an action to change the speed and the course angle, to obtain a new state, stores the experience of each round in an experience pool to serve as a learning sample, and continuously iterates and updates parameters of the neural network. And when the training is completed, the neural network parameters trained by the sub-tasks are stored, and are migrated to the unmanned aerial vehicle maneuvering target tracking network in the next task scene until the final task is completed.

An agent selection system for selecting agents during call routing in a contact center is provided. The agent selection system includes a data mining module to mine agent related data from preconfigured resources e.g., social networking sites. The agent selection system further includes a profile module to build one or more agent profile based on the mined agent related data. The agent selection system further includes a mapping module configured to map a customer profile in a customer work request with the one or more agent profile. The agent selection system further includes a selection module to select an agent for handling the customer work request based on mapping between the customer profile and the one or more agent profile.

The invention discloses a three-dimensional visual simulation training system and method used for professional training in terms of equipment operation and maintenance for staff of hydroelectric generation, thermal power generation, water conservancy project and the like. The system comprises a database module, an equipment model module, an operation simulation module, an overhaul simulation module and a checking system module. By combining with advanced multimedia simulation technologies, omni-directional and multi-level system training is provided to project operation and maintenance staff and managers; and the system has the advantages of high training efficiency, wide application, low training cost and the like, can be connected with existing production management systems for data information exchange and is also a practical digital training system in the real sense.

The invention discloses a single target tracking method based on a Siamese network and belongs to the technical field of target tracking. The method comprises the following steps that firstly, a neural network part of a Siamese network is constructed, and the weight of the Siamese convolutional neural network is trained; in the training process, the method is carried out based on a neural networkmodel of an embedded loss function, meanwhile, all layers of features are fused, a random gradient descent algorithm is used for carrying out loss optimization, then classification and regression results are obtained through an RPN, and finally follow-up frame tracking is carried out according to the classification and regression results. The method is advantaged in that the tracking target can bebetter detected and positioned, an image detection method can be effectively fused to target tracking, a video is replaced by an image frame mode, and training cost and the calculation overhead are reduced, therefore, tracking processing efficiency is improved, and the effect of distinguishing similar objects is more obvious.

The invention discloses a super-resolution image restoration method based on a generative adversarial network, and the method specifically comprises the steps: 1, collecting and arranging real image data, processing the collected images into images with the same size, and enabling the processed images with the same size to form a training data set; 2, constructing a generative adversarial networkmodel, wherein the generative adversarial network model comprises a generator and a discriminator; 3, marking each image in the training data set with a mask with the same size to obtain a to-be-restored image, importing the to-be-restored image into the generative adversarial network model, and training the generative adversarial network model in a weak supervised learning mode to obtain a trained image; and 4, inputting the training image into the U-Net generation network to repair the trained image to be repaired, and outputting a repaired high-resolution image. The problems that in the prior art, the resolution ratio is low after large-area image missing is repaired, and the visual effect is not coherent are solved.

The invention relates to an auxiliary fault detection system and a method which are applied in a production information system for assisting the fault detection operation of a circuit board, the auxiliary fault detection system comprises a detection module for detecting identifying information of the circuit board, detecting the circuit board in the fault detection operation and sending corresponding fault code information and fault position information, a database for storing the fault code information and the corresponding fault position information detected in the fault detection operation and storing the identifying information of the circuit board, an extraction module for extracting the fault code information corresponding to the circuit board from the production information system according to the detected identifying information, an inquiry module for extracting the corresponding fault position information from the database according to the fault code information, and a calculation module for calculating the respective proportion of each fault position contained in the fault position information according to the fault position information for reference.