4184 results about "Time cost" patented technology

The invention discloses a quick detection method for an objective on the basis of a multi-scale characteristic pattern. The method comprises the following steps that: firstly, through a convolutionalneural network, automatically extracting the multi-scale characteristic pattern to avoid a complex characteristic design and extraction process in a traditional method; secondly, putting forward an effective characteristic pattern fusion method by considering a situation that characteristic expressions learnt by different convolutional layers are different, realizing by a lightweight compression type bilinear function to improve characteristic pattern fusion efficiency and enrich context information, and on the basis, combining the multi-scale characteristic pattern with a channel attention mechanism to highlight useful information and inhibit redundant information so as to further enhance characteristic pattern representation ability; and finally, using the enhanced multi-scale characteristic pattern for objective detection, and obtaining an optimal model through multiple iterative training. Compared with the prior art, the method which is put forward by the invention lowers time costas far as possible while detection accuracy is improved, the quick detection of the objective is realized, and the method has a wide application prospect on the aspects of mobile robots, automatic driving, intelligent video surveillance and the like.

The invention discloses a real-time guidance method for bus taking navigation and belongs to the technical field of intelligent traffic. The method comprises the following steps: determining an origin, a destination and departing time; carrying out path planning according to the coordinates of the origin and the destination, and obtaining the time cost of each road section in the path planning according to the departing time and a path planning result in combination with dynamic traffic data; correcting the time cost of each road section according to the actual departing time and the current position of a user and utilizing characters, voice and/or graphical representations to carry out real-time guidance at each road section. On the basis of providing the character and map demonstration of the path planning result, the real-time guidance method can further provide the progress bar of journey stages and expected time for arriving at each stage point, and can also provide a whole-journey real-time guidance function. The real-time guidance method has the advantages of simple and visual journey demonstration, timely and accurate prompt, and safety and convenience in use. The use convenience of passengers in navigation is greatly improved, and the occurrence of accidents is reduced when navigation equipment is used during motion.

A script analyzer with change guide generates accurate test scripts for evolving applications. Applications often have complex graphical user interfaces for which the permutations and combinations of GUI elements give rise to an enormous field of potential commands and command sequences to be tested. Furthermore, these applications change over time, rendering prior test scripts unworkable. The script analyzer automatically generates new test scripts to reliably test subsequent application versions, while greatly reducing the time, cost, and resource expenditures needed to arrive at subsequent application versions.

A method of temporal, activity-based cost modeling for an organization is provided. The method includes the steps of (a) determining a plurality of data types contributing to costs related to one or more activities of the organization; (b) capturing data elements corresponding to the data types; (c) Creating an ontological enterprise model based on the data elements, by applying a Temporal Activity Based Costing Model to the organization; testing the applicability of the Temporal Activity Based Costing Model to the organization; and adjusting the Temporal Activity Based Costing Model to the organization, based on the testing; and (d) configuring a computer system to apply the ontological enterprise model to the data elements on an ongoing basis, such that the ontological enterprise model yields information about the costs of the activities for defined periods of time. The method enables derivation of cost knowledge from the cost information, by operation of a profit knowledge utility. A series of sub-methods are also provided to enable the application of the Temporal Activity Based Costing Model. A computer system and computer program is also provided for implementing the temporal, activity-based cost modeling of the invention for an organization. The invention also provided for temporal, activity based billing, and generation of real time temporal cost information.

A performance analysis support system is disclosed that provides one or more recommended solutions of a performance improvement project to management and the expected improvement benefit of each solution. The performance analysis support system guides a user through a detailed, consistent analysis process, helping organizational leaders accurately diagnose critical performance or productivity issues. Then, the performance analysis support system estimates the personnel and equipment requirements, time, costs, and return on investment associated with each solution generated based on the analysis results. In addition, the performance analysis support system provides management immediate access to ongoing and past analyses.

The invention discloses an unmanned aerial vehicle-based express delivery delivering system and method. The unmanned aerial vehicle-based express delivery delivering system comprises a ground control center, an unmanned aerial vehicle group and an intelligent express delivery cabinet net. During delivering processes, an express delivery company sends an express delivery delivering request to the ground control center, a specific intelligent express delivery cabinet is generated for the order, and a task flight route is generated for an unmanned aerial vehicle. After reaching a target position, the unmanned aerial vehicle applies to the express delivery cabinet for communication verification; after passing the verification, the unmanned aerial vehicle switches to a visual positioning module if the express delivery cabinet is unoccupied; after positioning operation is performed successfully, an electronic door of the express delivery cabinet is automatically opened, and the unmanned aerial vehicle hovers or lands on a landing stage for delivery operation. Deliveries can be transmitted to pre-distributed compartment by the intelligent express delivery cabinet, pick-up codes are generated and sent to users, and the users can pick up the deliveries based on the pick-up codes. Current express delivery delivering efficiency can be greatly improved via the unmanned aerial vehicle-based express delivery delivering system and method, manpower cost and time cost can be lowered, and security and privacy of express delivery can be well guaranteed.

The invention discloses an intelligent warehousing route planning method and system based on multiple AGVs. The method comprises the following steps: S100, defining a task distribution rule; dividing the priorities when the storage tasks are generated; S200, adjusting the dynamic priority; carrying out dynamic priority adjustment on the task of the AGV load in transportation; S300, planning an optimal path: dynamically and accurately calculating and locking a time window to reset a path so as to avoid conflicts, respectively carrying out coping strategy research on predictable vertical meeting conflicts and opposite meeting conflicts, and finally finding out a conflict-free shortest path; s400, predictively avoiding a conflict strategy; carrying out traffic rule making and unpredictable conflict detection and processing on traffic problems which may be encountered by a plurality of AGVs in the transportation process of a storage workshop. According to the system, the time cost of warehousing workshop tasks is reduced to the minimum, it is guaranteed that the path cost of the AGV is the minimum under the condition that vehicles are free of collision, and meanwhile the task scheduling efficiency and the vehicle scheduling efficiency are improved.

The invention relates to a smart city travel information recommending method and device. The method includes the steps that position information of a user, a destination and the starting time are acquired, wherein the destination and the starting time are input by the user; a transportation means operating information base is searched for a plurality of transportation schemes according to the position information, the destination and the starting time; a first ratio of each transportation scheme is calculated; each first ratio is subtracted from a preset ratio, the absolute value of the corresponding result is acquired, a plurality of difference values are acquired, and all the transportation schemes are sequenced according to the numerical size of corresponding difference values in a gradual increasing order; the sequenced transportation schemes are displayed. After the user inputs the travel destination and the starting date, a transportation scheme will be recommended to the user, ticket booking, hotel reservation and weather searching can be automatically and conveniently completed according to the transportation scheme for the user, and therefore time cost of the user is effectively reduced.

The invention discloses a network security accident classification and predicting method and a system, which are used for solving the problems of the prior art on lacking the capability of timely finding the characteristics of attack behaviors and accurately classifying the attack behaviors. The method comprises the following steps: S1. acquiring web access log of users in a whole network and http metadata in full-flow log; S2. segmenting the web access log and the url of the http metadata, and matching with a network attach illegal character feature library; S3. constructing a word vector and a document vector of the segmented url by utilizing word2vector; and S4. inputting the document vector as a feature and classifying the attack behavior by adopting a naive bayes model. The real-time monitoring of key points can be realized, the abnormal behavior carrying mainstream attack feature can be found by means of machine learning, the classification efficiency of network attack behaviors can be improved, and the time cost of manual check can be lowered, continuously changed attack behaviors can be adapted, and the classification detection accuracy can be enhanced, thus providing guarantee for network security.

The invention discloses an identity verification method and an identity verification device. The method comprises the steps of acquiring first identity information corresponding to a resource account and an identity document image collected by a terminal; judging that whether the second identity information in the identity document image is matched with the first identity information; in the case that the second identity information is matched with the first identity information, acquiring the multimedia information of an object to be verified corresponding to the identity document image and collected by the terminal; and determining the identity verification result of the object to be verified based on the multimedia information and the identity document image. According to the method, the technical problem that in the related technologies, the time cost is high when the online identity verification is performed is solved.

The invention provides a method and a system for manufacturing a webpage. The system comprises a client and a server. The invention also discloses the client and the server. In the method and the system for manufacturing the webpage, through the presetting of a component which has visible effect and adopts script language to perform standardized encapsulation, parameter configuration is performed on the component by utilizing an uniform interface in the webpage manufacturing process, so that the generation of non-standard codes is reduced in the template code compiling process, and the method and the system bring convenience to the improvement on the repeated utilization rate and accuracy of codes; moreover, the method and the system shorten the webpage manufacturing flow and reduce the error possibility and the time cost of error correction by changing the webpage manufacturing flow which is separated into a plurality of links into one-station completion in a webpage development tool; and after the component is subjected to parameter configuration, the visible effect of the component can be achieved in real time, and further the time cost for webpage manufacturing is reduced and the efficiency of webpage development is improved.

A costing process that takes advantage of real-time information about plant floor activities and provides a more accurate and timely financial feedback about the process efficiencies in response to new changes in the process operation. The costing process includes identifying stations that consume resources, consume activities and supply activities. The costing process also identifies a plurality of resources that are provided to one or more of the stations. The costing process also includes identifying resources from the plurality of resources that are used as needed and resources that are supplied in advance of being used. The costing process allocates costs for each resource to each station that the resource supplies, including calculating a cost rate, calculating a cost of used capacity and calculating a cost of unused capacity. The costing process then determines the cost that each station and product uses based on the allocations.

The invention discloses a video recommendation method and system. The method comprises the steps that a server obtains video information of various videos, divides the videos into different categories by employing a clustering algorithm, calculates category weights of the various videos in the corresponding categories and stores the category weights; a smart television collects user behavior data and then uploads the data to the server, and the server calculates user preference data according to the user behavior data and calculates preliminary recommendation results of video programs un-watched by users according to the user preference data; the server calculates the attributes and weights of the various videos in various periods of time according to the catalog weights and the user preference data, combines the attributes and weights of the various videos in various periods of time to generate final recommendation results and sends the final recommendation results to the smart television for display. According to the method and the system, the interest degree of the users to the watched videos can be estimated, related videos can be recommended according to the periods of time, the watching demands of family members can be satisfied as much as possible, and the time cost of the users can be reduced.

The invention relates to a video dynamic super-resolution processing method and system. The processing method comprises the steps of obtaining a motion vector of any pixel in a current to-be-processed frame according to motion estimation and calculating reliability degree of the motion vector; extracting the corresponding pixel of the pixel in a former high-resolution frame according to the motion vector of the pixel and carrying out Kalman filtering processing according to the corresponding pixel, thereby obtaining a first processing result; carrying out interpolation processing on the to-be-processed frame to obtain a second processing result; and carrying out weight fusion on the first processing result and the second processing result through utilization of the reliability degree, thereby obtaining a super-resolution frame after fusion. According to the method and the system, the problems of protecting edge information well and improving image edge sawteeth are realized; more image details are restored effectively on the condition of not increasing excessive extra time cost; moreover, relatively high robustness is achieved; and disorder of a super-resolution result or motion blurring resulting from inaccurate motion estimation is avoided.

The invention discloses a route planning system and a route planning method combining real-time road condition and public traffic operation information, relating to the field of intelligent traffic. The method comprises the following steps: determining a departure place and a destination, setting time information, and uploading the departure place, the destination and the time information to a server terminal; and receiving the departure place, the destination and the time information through the server terminal, and planning a route according to the departure place and the destination, and combining the real-time operation information of public traffic and real-time road condition to obtain the time cost of the route planning by utilizing the time information. The system comprises the server terminal and a client. A method of combining the operation time of public traffic with the real-time road condition is adopted for providing real-time, predicable and reliable route plan and relatively accurate travel time reference to a user, so that the user can plan/regulate travel plan based on the public traffic according to demand.

The invention discloses a topic detecting device and a topic detecting method based on distributed multistage cluster. The topic detecting device mainly comprises a news acquiring module, a news classifying module, a topic detecting module, a topic integrating module and a topic displaying module. The topic detecting method is characterized by comprising the steps of A, acquiring news; B, classifying the newly acquired news; C, performing multistage cluster for various channels concurrently; and D, computing hotness of all topics, and screening hot topics of a total system and hot topics in each channel. By the topic detecting device and the topic detecting method, a sharp contradiction between a detecting effect and time cost in topic detection under the condition of quick updating of a large number of files in an internet environment can be solved.

The present invention discloses an outdoor construction method based on a UAV photography technology and a BIM technology. The method comprises the following steps: 1) acquiring UAV field data; 2) performing data processing by using corresponding software; 3) establishing a BIM information model; 4) by applying a BIM technology, performing sloping according to different sites and designs; and 5) designing a BIM site model. The method disclosed by the present invention has the following advantages: manpower cost and time cost of measurement are greatly reduced; on-site terrain data is acquired in real time, which is convenient and quick; by combining BIM, on-site construction is provided with a visualized three-dimensional model and precise data at each stage, such as excavation volume reports, construction drawings and spatial information, so as to ensure implementation of project quality.

The invention relates to a face recognition method based on a deep neural network. A high recognition accuracy rate is realized while the network structure is simplified and the computing time cost islowered. The face recognition method comprises steps of face detection, face alignment, feature extraction and identity comparison. At the face detection and face alignment steps: An automatic codingnetwork (CFAN) from a coarse level to a fine level is used for detecting five facial key points; according to the detected five facial key points, rotary cutting and calibration are carried out to form a forward attitude face image with the pixel of 256*256*3; and on the basis of a plurality of cascaded stack type automatic coding networks, a face alignment result is optimized step by step at a face image with a higher resolution rate. At the feature extraction and identity comparison steps: a face feature is extracted by using a ten-layer deep face network, wherein the ten-layer deep face network consists of seven convolution layers and three fully connected layers; and distinguishing is carried out by training and testing.

The invention discloses an electric automobile appointment charging self-service system and a self-service appointment charging method. A user freely makes an appointment for charging time according to own time fitting with free time of a charging station, no waiting for charging is realized, and time cost of charging is saved; a parking sport lock prevents non-appointed customers from occupying the parking spot to guarantee that the user can realize charging service at appointment time, and operational feasibility is guaranteed; before the user carries out the charging service, if the charging station is incapable of providing the charging service normally, a cloud server sends a message to inform the user in time, and the user can make other arrangements or make an appointment for other charging time in advance; during charging, the user can query information such as the charging status and charging service cost anytime through the cloud server, and charging can be stopped as long as the user sends a command to the cloud server if the user wants to end the charging service early; the whole appointment process is quick and convenient, the whole charging course is conducted by fully catering for user needs, and use requirements of the user are met.

A method and an apparatus for heat-treatment of materials, preferably metals, are provided. The method comprises the following steps: providing and maintaining a flame by supplying a burner with fuel and gas containing at least 80 percent by volume oxygen; creating an oxygen-hot exhaust mixture by recirculating exhausts from the flame to the gas containing oxygen by means of an ejector effect; mixing the oxygen-exhaust mixture and the fuel; and providing a secondary recirculation by recirculating exhausts from the flame to the oxygen-exhaust-fuel mixture. The method and apparatus allow for extremely low NOx emissions and high efficiency, resulting in an environmentally friendly and at the same time cost effective process.