338 results about "Built environment" patented technology

A system for supervised automatic code generation and tuning for natural language interaction applications, comprising a build environment comprising a developer user interface, automated coding tools, automated testing tools, and automated optimization tools, and an analytics framework software module. Text samples are imported into the build environment and automated clustering is performed to assign them to a plurality of input groups, each input group comprising a plurality of semantically related inputs. Language recognition rules are generated by automated coding tools. Automated testing tools carry out automated testing of language recognition rules and generate recommendations for tuning language recognition rules. The analytics framework performs analysis of interaction log files to identify problems in a candidate natural language interaction application. Optimizations to the candidate natural language interaction application are carried out and an optimized natural language interaction application is deployed into production and stored in the solution data repository.

A method for deploying source code from a version control system to at least one of a web server and an application server is provided. The method uses a build environment configured to be coupled to a client utility and a version control repository. The method includes scheduling a build request using a build scheduler, prompting a deployer to invoke the client utility including designating a specific time for execution, extracting source code at the scheduled time from the version control repository using the build environment, verifying promotion groups, building compiled modules to form an application, and deploying the application to at least one of a web server and an application server.

The invention relates to a system for simulating operation of a central air-conditioning. The system comprises a data collecting module for collecting building environment data required by simulating the operation of the air-conditioning; a simulation parameter selecting module, connected with the data collecting module, and used for selecting a parameter for simulation and a simulation mathematical model according to a simulated building object, and sending the data collected by the data collecting module and the selected parameter for simulation and the simulation mathematical model to the system simulation module; and a system simulation module, connected with the simulation parameter selecting module and used for carrying out simulation calculation by applying the selected simulation parameter and the simulation mathematical model according to the collected data. The system for simulating the operation of the central air conditioner can simulate the operation condition of the central air-conditioning system and provide reference data for the system to save energy.

An iterative software development environment is provided to perform modified dependency analyses for use in building a target file and all the files on which it depends from one or more source files using a set of prioritized build rules. In one embodiment, the build rules indicate how different types of target files can be generated from different source file types. A given target file type may be associated with several rules, each having a different priority, for building the target from different source file types. In one embodiment, if more than one source file exists that can be used to generate a given target file, the rule with the highest priority is used. In one embodiment, the build environment identifies how to generate a particular target file by identifying the highest priority rule for which an associated source file type exists. Moreover, the development environment identifies the presence of a new source file having a corresponding build rule with a higher priority than that of the source file type(s) previously used in the generation of the target file. In one embodiment of the invention, the target file is rebuilt if such a new source file is identified, or if one or more source files previously used to build the target file are determined to have been modified more recently than that indicated by the build date/time of the target file itself.

A computer-implemented method of tracking a target object in an object recognition system includes acquiring a plurality of images with a camera. The method further includes simultaneously tracking the target object and dynamically building environment map data from the plurality of images. The tracking of the target object includes attempting to estimate a target pose of the target object with respect to the camera based on at least one of the plurality of images and based on target map data. Next, the method determines whether the tracking of the target object with respect to the camera is successful. If not, then the method includes inferring the target pose with respect to the camera based on the dynamically built environment map data. In one aspect the method includes fusing the inferred target pose with the actual target pose even if tracking is successful to improve robustness.

A motion-coupled visual environment prevents, reduces and/or treats motion sickness by sensing inertial motion and providing a corresponding evocative image for a subject to view. Inertial sensors may include accelerometers, gyroscopes or a variety of other different sensor types. A cross-coupling algorithm may be used to cross couple different sensed inertial motions. A variety of mapping schemes may be used to map sensed inertial motion to corresponding motion within the evocative scene displayed on the display. Applications include reducing motion sickness on passenger vehicles such as airplanes, trains and cars; on military vehicles such as ships, airplanes, helicopters and the like; and reducing “cybersickness” in the context of simulations on moving platforms.

The invention discloses an operation method of a self-positioning robot-based multi-camera parameter automatic calibration system. A self-positioning robot carrying a marker cruises and carries out self-positioning in an offline built environment map to obtain a world coordinate, and a main control computer acquires a camera image and processes the image to obtain an image coordinate of the marker; and the main control computer can automatically carry out the parameter calibration of cameras by combining the dot pair data of more than eight world coordinates and corresponding image coordinates. The operation method provided by the invention has the greatest characteristics of automatically carrying out the parameter calibration on multiple distributed and fixed cameras, greatly reducing labor calibration cost and improving the standardization and accuracy of a calibration process. The upgrading can be realized very conveniently based on the existing monitoring system, and an advanced intelligent algorithm applied to a monitoring and visual system is based on the results of camera calibration, therefore, the operation method provided by the invention has a very broad application and popularization prospect in monitoring systems in the future road traffic, office building corridors, factories, public security and the like.

The invention discloses a people searching and basic material conveying method based on an unmanned aerial vehicle in the special environment. The unmanned aerial vehicle is adopted to adapt to different environments, particularly to environments, where rescue workers cannot reach easily or hidden danger exists; according to pictures photographed through surrounding flying, the ambient environment can be known fully, so that analysis can be carried out conveniently and rescue measures are arranged purposefully, and the safety of rescue workers is ensured while the rescue success rate is increased; the airdropping of basic materials is facilitated, and the rescue time can be prolonged in another manner. The people searching and basic material conveying method disclosed by the invention can greatly increase the searching rate and the rescuing rate.

Methods, structures, and systems are disclosed for implementing legal intercept of data which provide real-time correlation of broadband user information to network addresses (or other identifiers) across multiple and different authentication systems and user databases. In certain embodiments, an intercept coordinator module interacts with each authentication system to determine real-time a target address for a target user device, which it then uses to update mediation devices, external databases, etc., involved in performing a lawful intercept under the CALEA process. Probes are not required within the network to perform authentication system captures. A modular interface system provides support for existing CALEA equipment, and support for implementing additional interface modules for new or updated CALEA equipment. Exemplary intercept coordinator modules may communicate with multiple AAA systems, in multiple different sub-nets or networks, including geographically distant networks, and provides for pooling of common CALEA equipment resources for use in multiple networks simultaneously.

Embodiments herein include novel ways of alerting store personnel when various activities, events, conditions, etc., occur at the checkout in retail establishments. For example, in accordance with one embodiment, the alerting can take place in substantially real-time, when the event occurs, allowing personnel to take appropriate measures, corrective or otherwise, to deal with the detected event. Examples of such events may include situations such as when a person of interest is detected as shopping at the store, when a cashier has missed scanning an item at the checkout, or to alert store personnel if a non-empty shopping cart has exited the store without payment (a.k.a., a cart push-out). Although the discussion below uses a grocery store as an example retail environment, embodiments herein can be used in any type of retail environment.

A method for deploying source code from a version control system to at least one of a web server and an application server is provided. The method uses a build environment configured to be coupled to a client utility and a version control repository. The method includes prompting a deployer to invoke the client utility, extracting source code from the version control repository using the build environment, verifying promotion groups, building compiled modules to form an application, and deploying the application to at least one of a web server and an application server.

Methods and apparatus are described in which a plurality of sensory stimuli are presented to a user. A response from the user to each of selected ones of the sensory stimuli is recorded where the response is given within a period of time from the presentation of the corresponding sensory stimulus. The period of time is selected to increase the likelihood that the recorded responses are spontaneous.

The invention discloses a method for identifying and predicting a bus passenger flow influence factor based on geographically and temporally weighted regression (GTWR). The method comprises steps of: extracting a traffic zone hour bus passenger flow and calculating built environment density; 2, constructing a space-time three-dimensional coordinate system according to the time of a passenger flow observation point and latitude and longitude to calculate space-time distance, and reckoning a spatial regression weight matrix according to a Gaussian function and the distance; 3, calculating a relation between a passenger flow volume and land utilization under different space-time conditions based on the GTWR; and 4, obtaining a change of a relevant parameter to a coefficient according to the calculation to perform visualization processing in time and space, and analyzing an inherent law. The method takes account of the influence of a time factor on the bus passenger flow and the built environment relation, can deeply excavate an internal relation between the passenger flow and the land utilization, accurately predicts the bus passenger flow, and provides the scientific theoretical guidance for the bus line planning and operation management.

The invention discloses a multi-ecological niche bioremediation method of seawater aquiculture environment, which comprises the steps of draining aquiculture wastewater into an aquiculture trench, adding beneficial bacteria to remove nitrogen and phosphorous and convert organic matters on the first stage, culturing filter-feeding fishes and large-scale seaweed to form a multi-ecological niche biosphere coexisting microalgae, filter-feeding fishes and large-scale seaweed in the second stage, and allowing bioremediation of seawater aquiculture environment by utilizing different ecological niches of beneficial bacteria, microalgae, filter-feeding fishes and large-scale seaweed through synergic action of organisms. The inventive method can clean aquiculture wastewater to meet discharge standards, remediate aquiculture environment, and obtain fishes and large-scale seaweed, thereby bringing environmental, economic and ecological benefits.

A method, apparatus, and computer program instructions for automatically performing test builds of natural language translated files for a software product. When a translated file is received from a translator, a test build of the translated file is executed in a translation test build environment, wherein the translation test build environment is separate from the main software product build environment. A determination is made as to whether the test build of the translated file is successful. If the test build is successful, the translated file is submitted to the main software product build environment. If the test build is unsuccessful, a log file containing error information is sent to the translator to allow the translator to fix compile errors identified in the translated file and resubmit the translated file to the translation test build environment.

The invention relates to the field of building distributed environment monitoring and discloses a building environment sensor measuring point optimization method based on a Gauss process model. The method comprises the steps that a teleoperation moving robot is used for carrying an environment measuring sensor node to be used as a moving measuring platform, and environment parameters and measuring point positions in an unknown building are collected; the environment parameters obtained by collecting are used as data samples, a Gauss process regression model is used for carrying out fitting on continuous probability distribution of the environment parameters, and measured values at unarranged measuring points are predicted; a greedy algorithm is used for solving a group of optimum sensor position set; and the optimum sensor position set and complementary selecting results of the main measuring point positions in a building room are combined, and finally the measuring point distribution results with the limited number and the optimum positions are obtained. According to the method, optimum arranging of environment measuring sensors in a large area of the unknown building can be achieved, the smallest number of sensors are used for reestablishing environment parameter field distribution effectively, and a traditional experience arranging method is replaced.