4189 results about "Time cost" patented technology

The invention relates to the technical field relevant to cloud computing, in particular to a method for creating a virtual machine in a cloud computing system and the cloud computing system, wherein the cloud computing system comprises a cloud control server, at least one node control server and at least one storage server, wherein the storage server is used for storing virtual machine benchmark image files of the virtual machine, user expansion image files and user disk image files; and the method comprises the following steps: the cloud control server receives a user request and forwards the user request to the node control server, wherein the user request comprises the virtual machine benchmark image selected by the user, cpu (central processing unit) and the memory size and the user disk image files; and the node control server receives the user request forwarded by the cloud control server and creates the virtual machine according to the user request. By means of the method for creating the virtual machine in the cloud computing system and the cloud computing system disclosed by the invention, the time cost and bandwidth resources for creating the virtual machine and the use of transport network bandwidth in migration of the virtual machine are reduced, and the problem of loss of user data, caused by system crash of the virtual machine, is avoided.

Deduplication of data on disk devices based on a threshold number (THN) of sequential blocks is described herein, the threshold number being two or greater. Deduplication may be performed when a series of THN or more received blocks (THN series) match a sequence of THN or more stored blocks (THN sequence), whereby a sequence comprises blocks stored on the same track of a disk device. Deduplication may be performed using a block-comparison mechanism comprising metadata entries of stored blocks and a mapping mechanism containing mappings of deduplicated blocks to their matching blocks. The mapping mechanism may be used to perform later read requests received for the deduplicated blocks. The deduplication described herein may reduce the read latency as the number of seeks between tracks may be reduced. Also, when a seek to a different track is performed, the seek time cost is spread over THN or more blocks.

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.

The embodiment of the invention discloses a method and device for annotating medical images. In one embodiment, the method includes the steps that at least one to-be-annotated medical image is acquired; the to-be-annotated medical images are annotated with classification information, wherein the classification information includes the classes and grades of diagnosis results corresponding to the medical images; the to-be-annotated medical images are processed through a focus area detection model trained in advance, focus areas are box-selected from the to-be-annotated medical images and the to-be-annotated medical images are annotated with focus types of the focus areas so that the to-be-annotated medical images can be annotated with the focus areas and the focus types of the focus areas; the to-be-annotated medical images with the focus areas box-selected are segmented to obtain the box-selected focus areas to form segmented images of the to-be-annotated medical images so that the to-be-annotated medical images can be annotated with the segmented images. By means of the embodiment, the purpose of reducing the manpower and time cost for annotating medical images is achieved.

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 a method and a device for the recommendation of a text theme, wherein, the method comprises the steps that: word segmentation is carried out to a target text to obtain target words; the weight of the target words is calculated; the theme keywords of the target text are preferably selected out according to the weight of the target words. The theme keywords obtained on the basis of the method can well predict the theme of the target text; therefore, a user can make judgment to the effectiveness of text contents within very short time according to the theme keywords, thus greatly saving the time cost of the user.

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 provides a personalized recommendation method and device of characteristic information, wherein the personalized recommendation method comprises the following steps of: receiving a characteristic information acquisition request submitted by a client, wherein the characteristic information acquisition request includes a user identification; acquiring user behavior tendency information according to the user identification; extracting current associated characteristic information according to a preset rule by using the user behavior tendency information; extracting current associated characteristic information which meets preset requirements and returning the extracted current associated characteristic information to the client. According to the invention, various personalized needs of users can be met, online shopping time cost of users is reduced and purchasing conversion rate of electronic commerce is increased.

The invention provides a remote sensing image building extraction method and system based on depth learning which comprises the steps of sample preparation, model training, precision evaluation, building prediction, merging and vectorization. The invention also relates to a remote sensing image building extraction system based on depth learning, a storage medium and an electronic device. Based onthe improved RCF boundary constraint model, the invention extracts the urban single building contour, the rural isolated building contour and the peripheral boundary of the rural building dense group,at the same time, a U-Net semantic segmentation model network structure is improved, and the improved U-Net is utilized to classify the images at pixel level. Finally, the two models are fused, and the depth learning model is trained by a large number of building sample label data, so that the network model by fusing the improved U-Net and the RCF is used to extract the buildings on the sub-meterGao Fen 2 remote sensing images, so that the automatic and effective building vector data extraction is realized, and the time cost and labor cost of manual rendering is greatly reduced.

The invention discloses an omni-directional vision-based consumer purchase behavior analysis device, which comprises an omni-directional image pick-up device, a cash register and a microprocessor, wherein the microprocessor is used for analyzing consumer purchase behavior according to a panoramic image picked up by the omni-directional image pick-up device and related input information; the omni-directional image pick-up device is placed above the middle space in a shop, so that the omni-directional image pick-up device can acquire a video image in the entire shop; the omni-directional image pick-up device is connected with the microprocessor; the cash register is connected with the microprocessor through a wired network; the microprocessor comprises a video image recording unit, a video image spreading unit, a panoramic object detection unit, a multi-target human body object tracking unit, a video image storage unit, a spatial position custom-tailing unit, a commodity placing position input unit, a commodity attribute input unit and a consumer purchase behavior analysis unit. The device has the advantages of low real-time cost, objective and accurate investigation result, and high intelligence degree and automation degree.

The embodiment of the invention discloses a method for identifying a medical image. The method comprises the steps that a to-be-identified medical image set is obtained, wherein the to-be-identified medical image set comprises at least one to-be-identified medical image; a to-be-identified area corresponding to each one to-be-identified medical image in the to-be-identified medical image set is extracted, wherein the to-be-identified area belongs to a part of the to-be-identified medical images; the recognition result of each to-be-identified area is determined through a medical image recognition model, the medical image recognition model is obtained according to training of a medical image sample set, the medical image sample set comprises at least one medical image sample, each medical image sample carries corresponding annotation information, the annotation information is used for indicating the types of the medical image samples, and the recognition result is used for indicating the types of the to-be-identified medical images. The embodiment of the invention also discloses a method for model training and a server. The method for identifying the medical image, the method for model training and the server greatly save the manual annotation cost and time cost, and have stronger reliability and credibility.

This invention discloses an access method and a system for database facing objects, in which, said method includes: analyzing requests of objects to obtain accessed database list names, at least one access field, a condition field and a condition comparing value, generating key assignments based on the analyzed result including database list names, access fields and access condition fields, looking for parameterized SQL sentences corresponding to said key assignments and generating parameterized SQL sentences and storing them if they are not found out and setting the condition comparing value to a request parameter, if they are found out, then the request parameter is assigned to execute related access operation, in this invention, similar object requests use a same parameterized SQL sentence so as to reduce time cost for editing and generating SQL sentences many times.

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 intelligent charging navigation method for an electric vehicle. The intelligent charging navigation method comprises the following steps that (1) based on a wireless networkand GPRS, a large quantity of vehicle information, road condition information and charging station information are unloaded to a control center, and excavating extraction of characteristic data is conducted; (2) extracted information data based on an objective function are analyzed and calculated; (3) minimized values of the user travel total time cost and total distance cost form the objective function, the time and capacity serve as constraint conditions, and thus an optimal charging path including the three aspects of charging resources, road traffic nets and the road condition informationis set out based on a Dijkstra algorithm; and (4) the optimal charging path is unloaded to an EV vehicle-mounted terminal and a user cell phone APP through the wireless communication network. The total time cost and the total distance cost of the electric vehicle from a charging station to a final destination can be reduced effectively, and meanwhile user travel convenience is improved.

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.