1058results about How to "Easy to plan" patented technology

Methods and apparatus for enhancing surgical planning provide enhanced planning of entry port placement and/or robot position for laparoscopic, robotic, and other minimally invasive surgery. Various embodiments may be used in robotic surgery systems to identify advantageous entry ports for multiple robotic surgical tools into a patient to access a surgical site. Generally, data such as imaging data is processed and used to create a model of a surgical site, which can then be used to select advantageous entry port sites for two or more surgical tools based on multiple criteria. Advantageous robot positioning may also be determined, based on the entry port locations and other factors. Validation and simulation may then be provided to ensure feasibility of the selected port placements and/or robot positions. Such methods, apparatus and systems may also be used in non-surgical contexts, such as for robotic port placement in munitions diffusion or hazardous waste handling.

A portable terminal is used so as to provide play results of a golf player and information necessary for the golf player wherein the golf player inputs a score into the portable terminal and thus necessary information and play results are directly provided from the portable terminal to the golf player.

A radio-therapy apparatus includes a radiation head configured to irradiate a therapeutic radiation, and an image processing section configured to generate an image of a diseased portion of a specimen from a result of detection of the diseased portion while tracking the diseased portion to which the therapeutic radiation is irradiated from the radiation head. A control section controls the radiation head and the image processing section such that a period containing the generation of the image and the irradiation of the therapeutic radiation is repeated and the detection of the diseased portion in a next period is started prior to an end of a current period. A recording section records the image of the diseased portion generated by the image processing section in order.

A Utility patent with new concepts, methods, a comprehensive step-by-step procedure/system to produce semi-autonomous, self-curing customizable Cognitive Intelligent Autonomous Transformation System aided by Digital Assistants based on AI, Machine Learning enhanced RPA, natural language processing, speech recognition and image recognition with Deep Learning and Neural networks, that will transform an existing business system to the latest version supported by vendor for the industry with superior process automation. By Combining AI and cognitive computing in a single operating environment using the same sets of data—configuration data, Master Data, Transaction Data and historical transaction data, we propose to revolutionize existing customer's information systems to be a self-evolving cognitive intelligent automation systems where it not only knows the ultimate target information systems but also how to get there every step of the way seamlessly, similar to autonomous cars taking to destination, except in this case, information systems that run your business.

A system and method for performing assortment definition is provided. The method comprises inputting information regarding a plurality of stores into an assortment definition engine, and performing a matching process to identify at least one group of stores for assignment to the assortment. An automated system for defining an assortment and a program product for defining an assortment are also provided.

The invention provides a method and system for estimating future average power consumption of an electric automobile. Historical average power consumption is calculated and is used for estimating the future average power consumption, so that timely and accurate future average power consumption information is provided for a driver. The invention further provides a method and system for estimating the remaining driving range of the electric automobile. The remaining driving range of the electric automobile is acquired according to acquired remaining capacity and the electric automobile future average power consumption which is obtained through the method and system for estimating the future average power consumption of the electric automobile. Accordingly, the timely and accurate information of the future average power consumption and the remaining driving range can be given to the driver, and the driver can plan routes and choose the charging time conveniently. The acquired remaining driving range of the electric automobile is subjected to saturation processing and one-order inertia filtering processing, so that the circumstance of high-low mutation does not occur to the finally-obtained value of the remaining driving range of the electric automobile, and the remaining driving range under the current situation is truly reflected.

A method, system, and article to manage a backup procedure of one or more backup tasks in a computing system. A backup window within which the backup tasks are to be executed is defined, and the backup tasks within the backup window are scheduled. The process of the backup procedure is controlled during execution. The process of controlling the backup procedure includes calculating the prospective duration of all actually running and all future backup tasks, and cancelling low priority backup tasks in case a higher priority backup task is projected to continue beyond an end time (T_end) of the backup window.

A method and arrangement are described for manoeuvre generation for automated driving on a one-way road of a vehicle (e) hosting the arrangement, the host vehicle (e) further including one or more advanced driver assistance systems. A collision free reference trajectory for longitudinal and lateral movement of the host vehicle (e) is determined repeatedly, with a fix time interval, for allowing the host vehicle (e) to retain a desired velocity and maintain the host vehicle (e) in a preferred lane utilizing model predictive control and quadratic program formulation. A control scheme where the structured environment of the one-way road is exploited in order to linearly formulate collision avoidance constraints is utilized. Manoeuvre generation is performed through solving the quadratic program. The one or more advanced driver assistance systems are controlled to perform the generated manoeuvre.

The invention discloses a prediction method for road network traffic flow based on a hierarchical sequence diagram convolutional network. The prediction method comprises the following steps (1) establishing a road network graph, and constructing an adjacency matrix according to the road network graph; (2) taking a flow on each node as a signal of the node; (3) calculating the Laplace matrix by using the adjacency matrix of the graph, for the flow signal, establishing a spectrogram convolution module, and extracting the influence of the spatial structure of the road network on the flow; (4) constructing clustering pooling and anti-pooling modules, extracting hierarchical information in the road network, and looking for flow characteristics of similar structures; (5) constructing a GRU unitby the spectrogram convolution module and the clustering pooling module together, and realizing the extraction of time characteristics of the flow; and (6) completing the prediction of the flow from one sequence to another sequence by using a self-encoder structure. The hierarchical sequence diagram convolutional network provided by the invention has the advantages that the prediction of huge andcomplex traffic flow is more accurate; travel routes for urban residents are convenient to plan; travelling time is reduced, travelling experience is improved; computing efficiency is increased; and the problem of memory overflow is not liable to appear.

The invention provides a working area ranking method and ranking system for a robot. The method includes the steps of S10 dividing the working area into a plurality of working sub-areas according to a working area map of the robot, S20 calculating distances between adjacent working areas according to the adjacent relationship among the working sub-areas, and S30 ranking the working sub-areas according to the current working sub-area of the robot, the adjacent relationship among the working sub-areas and the distance between the adjacent working areas. The working area is segmented before cleaning to obtain a plurality of working sub-areas, each of which is regularly shaped. Ranking of the working sub-areas is facilitated, and planning a cleaning path for each working sub-area is more convenient, so that total path of the robot travels in the working sub-areas is the shortest. The cleaning efficiency of a sweep robot is improved.

The invention provides a prediction method of electric vehicle power battery service life. The method includes the following steps that (1) data collection is conducted on the voltage curve of a power battery in the process of electro-discharge, battery residual life characterization is extracted, and a recession point is gained; (2) clustering is conducted on the collected voltage curve by the adoption of an ART2 neural network, and recession pattern classification is conducted on the voltage curve; (3) predication is conducted on the recession pattern of the power battery by the adoption of a weighted Markov model; (4) a single mode of recession pattern is built; (5) prediction is conducted on the residual service life of the power battery by the adoption of a linear superposition method. By means of the prediction method of electric vehicle power battery service life, the health condition of batteries can be evaluated conveniently, quickly and accurately, the residual service life of the power battery of an electric vehicle can be accurately predicted aiming to individuals according to different driving habits of different people, and the battery can be better managed, planned and used.

An amphibious recreational vehicle (motorhome, trailer, SUV, and the like) of conventional RV height, width, and length restricted dimensions necessary to travel on highways and roads, and which upon entering the water, the bottom of the vehicle expands outwardly and upwardly to form a fast planing, wide-beam, ground effects cathedral type double-tunnel hull. The hull makes use of a dynamic air cushion to augment the planing of the hulls, owing to the ground effect created by compression of the ram air stream (and water vapor) rushing through the two tapered tunnels separating the three hulls. The wheels of the vehicle are simultaneously raised out of the water to eliminate parasite drag. The resultant hull is substantially wider than the cabin, providing substantial ocean-going stability for the craft. The folded elements incorporated within the cabin rooftop, raise upward to form a traditional yacht flying bridge, complete with a windshield, steering station, seating, mast, and safety rails. The resultant watercraft closely approximates the off-shore speed, seaworthiness, performance, stability, cabin space, main deck space, and elevated flying bridge deck attributes of conventional yachts. And when on land, the craft is a fully functioning traditional recreational vehicle suited for fast highway travel, driving about towns, staying in RV parks, and camping in the wilderness. This amphibious recreational vehicle is an interrelated component divided from the inventor's previous Comprehensive Vehicle Construction And Hybrid Electric Drive System application.

Embodiments are computer program product that provides systems and methods as a complete solution for management profession from initiation to closeout; complies with industry standards and requirements. Automated functionality through cloud server, standardized combination of database management systems with five web-based user's interfaces; for each organizational tier and for quick and emergency responses. On real time communication, simultaneous functionality of the integrated databases provides ultimate optimization while the unified filing system and document control solution facilitates system integrations of the management knowledge areas. Stakeholders utilize their permitted part(s) of the solutions to manipulate data through shared platform while classified data is saved for internal use. Automatically saving project related data, while synchronization while shifting from offline to online work environment. Public outreach enhancement with a project specific website displays permitted information to allow public search and view projects general information including alerts and status.

The invention discloses a real-time traffic condition acquisition method based on a mobile intelligent terminal. The mobile intelligent terminal identifies the traffic condition according to sensor information, traces a running route in combination with a road database in real time and calculates the running time according to a traced result of the running route and uploads the real-time road condition information to a server; and the server analyses massive received real-time traffic condition information, removes repeated data, saves the result into a traffic condition database and estimates the real-time traffic condition for a minority of road sections in short of uploaded data according to the traffic condition data in the traffic condition database by the compressive sensing technology, to collect the real-time traffic condition of the whole urban traffic network. According to the invention, the mobile intelligent terminal can be used for collecting the real-time traffic condition information so as to obtain massive traffic condition data. The method has the characteristics of low cost, high accuracy, high data volume, good real-time property, high network coverage, good expansibility and the like, and has a quite wide application prospect.

A distribution network automation system comprises a power distribution main station, power distribution substations and power distribution terminals. The power distribution main station is responsible for monitoring and managing global information and used for monitoring and acquiring data of a whole distribution network to complete fault handling within the whole network; the power distribution substations are used for managing distribution station terminal monitoring equipment such as switchgear cubicles for loop networks, switching stations for distribution networks and the like, acquiring, gathering and uploading signals of the power distribution terminals to the power distribution main station, and transmitting orders of the power distribution main station to the power distribution terminals; the power distribution terminals mainly used for acquiring data of primary equipment, controlling switchgears, detecting and recognizing faults and sending fault information to the power distribution substations and the power distribution main station. The distribution network automation system has the advantages that power supply reliability can be greatly improved, fault time can be greatly shortened, voltage quality can be greatly improved to provide optimal voltage for users, and labor intensity can be relieved for operators; management level of the whole power distribution system can be improved, working efficiency is improved, and user service level is improved.

The invention provides an automatic vertical parking system and a parking method based on multi-stage planning and machine learning. The image is collected by a ring-view camera, and an ultrasonic sensor detects obstacle information to judge the position, heading information and the validity information of the storage location relative to the storage location. The automatic parking process is initiated when a suitable size and no vehicle-occupied space is identified. The automatic parking system plans the parking route according to the current self-parking posture and the information of the garage. If necessary, the automatic parking system uses multiple R-S curve is adjusted from the parking position to the proper position, and then the secondary helix parking trajectory is generated according to the learning network. The steering wheel, throttle and brake pedal are controlled electronically for parking and garage entry. The invention utilizes the secondary helix training set and thelearning network to improve the efficiency of the parking process and the adaptability to the path deviation, and combines R-S curve for multi-stage planning, to achieve a very small range of parkingplanning high success rate, a wider range of application, more reliable parking process.

The invention provides a general game version incremental updating system according to the technical scheme. The system comprises an updating preparation module, an interface updating module, a version updating module and a code reflection module, wherein the updating preparation module stores a game version information file and an updating information file, the interface updating module is used for packaging a script into an updating resource file, the version updating module obtains the updating resource file and executes corresponding resource file replacement and installation, and the code transmitting module loads program codes dynamically and executes and uses the program codes dynamically. According to a general game version incremental updating mode in the technical scheme, the updating information file is stored, a configuration file is generated and used for configuring a corresponding updating resource file, and corresponding resource file replacement and installation are executed; the program codes under the game program are loaded dynamically and executed and used dynamically. The system has the advantages that the development period of the version incremental updating system is greatly shortened, maintainability and reusability of the codes are enhanced, and experience and performance of games are enhanced.

A policy enforcement point (PEP) attaches to the edge of a network to manage loading when the network nears or exceeds its capacity due to changes in the network, e.g., component failures or incremental growth. Autonomous PEP's at the network's edges provide short-term, application-aware controls on their own that are applied to the corresponding network ingress traffic. Path tables are used to calculate whether particular PEP's can admit more traffic, or should they shed sessions/calls to keep service up for the existing application traffic. Long-term controls are periodically downloaded as admission tables from a session/call admission controller to the PEP's.