767results about How to "Reduce human intervention" patented technology

A comprehensive electronic business support system comprises three layers: (1) the business layer, including various smart components which unify data and business processes across all customer interactions; (2) the integration layer, including various communications messaging interfaces and enterprise application integration adpaters, which provide a flexible, automated, and process driven solution for integrating across business applications and operations support systems; and (3) the presentation layer, including various customer views, which are presented via particular business portals. A smart component server provides the core services and comprehensive business process logic required to successfully conduct business online. The communications messaging interfaces integrate with back-office systems for functions such as billing, provisioning, and interconnection.

The invention relates to a fine granularity vehicle multi-property recognition method based on a convolutional neural network and belongs to the technical field of computer visual recognition. The method comprises the steps that a neural network structure is designed, including a convolution layer, a pooling layer and a full-connection layer, wherein the convolution layer and the pooling layer areresponsible for feature extraction, and a classification result is output by calculating an objective loss function on the last full-connection layer; a fine granularity vehicle dataset and a tag dataset are utilized to train the neural network, the training mode is supervised learning, and a stochastic gradient descent algorithm is utilized to adjust a weight matrix and offset; and a trained neural network model is used for performing vehicle property recognition. The method can be applied to multi-property recognition of a vehicle, the fine granularity vehicle dataset and the multi-propertytag dataset are utilized to obtain more abstract high-level expression of the vehicle through the convolutional neural network, invisible characteristics reflecting the nature of the to-be-recognizedvehicle are learnt from a large quantity of training samples, therefore, extensibility is higher, and recognition precision is higher.

A method is provided for facilitating transactions between a product brand manager and manufacturing organizations using a transactional computer system. The product brand manager has a product brand and product brand information that includes information for manufacturing the product brand, and there is manufacturing organization information for each of the manufacturing organizations that includes the manufacturing process capabilities of the respective manufacturing organization. The method includes communicating the product brand information from the product brand manager to the transactional computer system, and communicating the manufacturing organization information for the manufacturing organizations from the manufacturing organizations to the transactional computer system. The method also includes using the transactional computer system to process the product brand information and the manufacturing organization information to select at least one candidate manufacturing organization from the manufacturing organizations and to generate selection information regarding the at least one candidate manufacturing organization. The selection processing uses the transactional computer system to compare the product brand information to the manufacturing organization information. The method further includes using the transactional computer system to communicate the selection information to the product brand manager. A related method is provided for the selection of product brand managers for the benefit of a manufacturing organization. Related systems also are disclosed.

The invention discloses an improved high-resolution remote sensing image classification method based on deep learning. On the basis of the deep learning theory, a seven-layer convolutional neural network is designed; a high-resolution remote sensing image sample is inputted into the network to carry out network training and last two full connection layers obtained by learning are outputted as twodifferent high-level features of the remote sensing image; dimension reduction is carried out by using a principal component analysis for the output of the fifth pooling layer of the network, whereinthe result after dimension reduction is used as a third high-level feature of the remote sensing image; the three kinds of high-level features are fused in series; and then an effective logistic-regression-based classifier is designed to classify the remote sensing image. According to the invention, feature extraction is carried out on the high-resolution remote sensing image based on the deep learning theory and the features obtained by learning have high expressive force and robustness. Besides, the extracted high-level features are fused and the fused feature is inputted into the logistic regression classifier, so that the good classification result is obtained.

Systems, apparatus, and program code, and methods for monitoring the health and other conditions of the valve, are provided. An exemplary system for monitoring the condition of the gate valve includes a logic module configured to perform the operations of receiving sensor data providing an acoustic emission, vibration, and/or stream level signature and determining the level of lubricity, level of friction, level of surface degradation, and leakage rate at a gate-valve seat interface. An exemplary method for monitoring the condition of the gate valve includes receiving sensor data providing an acoustic emission, vibration, and/or stream level signature and determining the level of lubricity, level of friction, level of surface degradation, and leakage rate at a gate-valve seat interface.

The invention provides an adjusting method, adjusting system for an air supply mode of an air conditioner and the air conditioner. The adjusting method for the air supply mode of the air conditioner comprises the steps that relative humidity of a room in which the air conditioner is located is detected, and temperature and air speed of the indoor position in which a user is located are obtained, and sendible temperature of the user is calculated according to the temperature and the air speed of the position in which the user is located and the relative humidity of the room; the air supply mode of the air conditioner is adjusted according to the sendible temperature of the user. According to the technical scheme, the air supply mode of the air conditioner can be adjusted intelligently according to the actual experience of the user, the demands of different users are met, and the usage experience of the users is facilitated to be improved.

The invention provides a photovoltaic power station operation and maintenance system; the system comprises a data collecting module, a communication module, a data storage module, a monitor module, a fault warning module, a video module, a specialist diagnosing module, an asset management module, and an operation and maintenance module; the method of linkage among multiple systems is achieved; the portion of manual interference is reduced; effective measures are provided for increasing the operation efficiency and reliability of photovoltaic equipment, reducing system downtime, increasing operation and maintenance efficiency, as well as reducing the operation and maintenance cost, wherein the asset management of full life cycle provides scientific and credible information for financing, transferring and securitization of the photovoltaic power station.

The invention discloses a carton filling and stacking all-in-one machine. The carton filling and stacking all-in-one machine is characterized by comprising a carton conveying line and a storage device, wherein the head portion of the carton conveying line is connected with one side of a carton alignment device; the storage device is connected with one side of a carton filling station through an unpacking forming mechanism; the other side of the carton filling station is connected with one side of a carton strutting device; the other side of the carton alignment device is provided with a robot body; the robot body is provided with a carton filling and stacking grasp structure; a carton clamping and conveying device is arranged on the other side of the carton strutting device and connected with a carton sealing device; a carton labeling station is arranged on one side of the carton sealing device; a first tray and a second tray are arranged on one side of the carton labeling station. The functions of existing single machines are completely integrated on one machine, stations are linked tightly, the structure is compact, and operation is easy. The carton filling and stacking all-in-one machine is suitable for various specifications, stable in performance, high in efficiency and capable of greatly reducing labor cost.

The invention discloses an adaptive spatial clustering method, comprising the following steps of: (1) preprocessing spatial data and selecting features; (2) creating a Delaunay triangulation network according to spatial attribute; (3) performing clustering analysis operations according to the spatial attribute; (4) turning to a step (5) if a spatial solid obstacle is needed to be further considered, and turning to a step (6) if a thematic attribute is needed to be considered, otherwise, ending the spatial clustering operations; (5) introducing a spatial obstacle layer, performing overlap analysis on the spatial obstacle and the side length of the Delaunay triangulation network between the entities in each spatial cluster, and breaking the side length if the spatial obstacle is intersected with the side length; (6) performing the thematic attribute clustering by an improved density-based spatial clustering method; (7) visualizing the clustering result, and outputting the clustering result. The adaptive spatial clustering method is simple and convenient to operate, high in degree of automation, high in calculation efficiency, perfect in functions, strong in applicability and the like, and can effectively improve capability of spatial clustering analysis to excavate deep-seated geoscience rules.

The embodiment of the invention relates to the technical field of service system testing and discloses a service system testing method, device and system. The service system testing method comprises the steps of extracting source service data in a production environment and preprocessing the source service data to obtain service data for testing; loading the service data for testing to a bank application system of a testing environment, wherein the bank application system of the testing environment executes entry operation according to the service data for testing and generates testing environment service data; receiving the testing environment service data, comparing the testing environment service data with the service data for testing, identifying discrepant data and generating a testing report carrying data comparison showing result according to the discrepant data. By means of the service system testing method, device and system, the comprehensiveness, accuracy, coverage rate and testing efficiency of the service data for testing of a service system can be remarkably improved.

The invention discloses an unmanned aerial vehicle flight control method. the method comprises steps: feature information of a target object is acquired; according to the feature information of the target object, a surrounding radius and a surrounding mode are determined; and according to the surrounding radius and the surrounding mode, a shooting waypoint is determined, and shooting is carried out when the unmanned aerial vehicle flies to the determined shooting waypoint. The invention also provides an unmanned aerial vehicle flight control device. By adopting the method and the device, the unmanned aerial vehicle can be automatically controlled to carry out surrounding flight towards the target object and carry out shooting, and human intervention is reduced.

The invention discloses a dry-wet-freeze-thaw cycle environment simulation and damage and deterioration test device and method for a rock sample. The device is characterized by comprising a vacuum pump, a gas pipeline, a water pump, a liquid pipeline and a temperature control box, wherein the rock sample is placed in a test sample chamber in the temperature control box; high-temperature-resistant radial and axial deformation sensors are respectively arranged in the radial direction and the axial direction of the rock sample; the vacuum pump is connected with the gas pipeline and is connected into the top of the test sample chamber; one end of the water pump is connected with the liquid pipeline and is connected into the bottom of the test sample chamber; a liquid level detector is arranged on a sealing cover body, and is placed in the test sample chamber; and a CT scanning device is arranged on the outer side of the test sample chamber. According to the dry-wet-freeze-thaw cycle environment simulation and damage and deterioration test device for the rock sample, a microcomputer program controller is used for controlling implementation of multi-time cycle simulation of complicated environments of normal temperature to high temperature drying, vacuum forced saturation, cooling freezing, heating defreezing and thawing and the like; a microcomputer is used for radial and axial strain data acquisition and recording; and a CT scanning system is used for testing damage and deterioration in a repeated dry-wet-freeze-thaw cycle process. The device has automatic and integrated features and is economical, environmentally-friendly, low in human intervention and high in test working efficiency.

The invention provides a file type identification method and a server. The method comprises the following steps that: dividing a training sample into a training sample for at least one type of viruses and a training sample for normal files; carrying out feature extraction on the training sample to independently obtain the feature set of each training sample; utilizing the feature set of each training sample to determine the feature information library of each type of viruses in at least one type of viruses, and determining the feature information library of the normal files; and on the basis of the feature information library of each type of viruses and the feature information library of the normal files, determining a classification model used for identifying the at least one type of viruses and the normal files.

A heterogeneous wireless network networking method based on calculation and processing integrates features of a heterogeneous network and features of a cloud wireless access network, and a large-scale cooperative processing and multi-antenna technology is utilized for fully obtaining large-scale cooperative processing and calculation communication gains, reducing operating expenses, improving the network transmission frequency spectrum performance and reducing energy consumption. According to the heterogeneous wireless network networking method, a remote radio frequency unit is not directly connected with a fixed baseband processing unit, but the baseband processing unit and a wireless resource management unit of the remote radio frequency unit are both moved to a large-scale centralized processing server and are connected through a high-speed optical fiber. A traditional macro base station is upgraded to be a heterogeneous multi-antenna super base station to be in cooperative communication with the large-scale centralized processing server. The heterogeneous wireless network networking method based on calculation and processing is flexible in deployment and high in upgrading speed, the cost of constructing and maintaining the wireless access network by operators is lowered, and human intervention in network management is reduced.

The invention relates to an automatic grading control apparatus of a power lithium battery. The automatic grading control apparatus comprises a battery loading unit, an automatic conveying unit, a bar code scanner, a battery OCV detection unit, a battery sorting unit, a battery storage unit and a central controller, wherein the central controller comprises a recognition module, a battery information storage module and a PLC control module, the recognition module and the battery information storage module form a signal connection, the battery information storage module and the PLC control module form a signal connection, the battery loading unit, the automatic conveying unit and the battery sorting unit are controlled by the PLC control module, and a power output terminal of the automatic conveying unit is connected with a conveying belt. The automatic grading control apparatus has the following beneficial effects that: grading is accurate, the system is stable, and human intervention is reduced; the apparatus can be used separately, and can further be integrated in a lithium battery production line; and the space is saved, on-site monitoring and data sharing can be achieved, special duty is not required, and system maintenance is convenient.

The invention discloses a data sharing method based on block chain, electronic equipment and a storage medium, and the method comprises the steps that adopting a management platform of the block chainto receive an access request of a data demander for target data; executing an intelligent contract of the block chain in a trusted execution environment to judge whether the data demander meets the access permission condition of the target data or not; and if yes, configuring the data access permission corresponding to the data demander. By means of the mode, the privacy, safety and high efficiency of data sharing can be effectively improved.

The present invention extends to methods, systems, and computer program products for workflow based authorization for content access. A workflow can be triggered when a protection policy does not fully express an intended recipient's rights in protected content. A workflow processes relevant inputs to more fully express the intended recipient's rights in protected content. Workflows can provide policy item updates and authorizations decisions with respect to protected content. Through the use of workflows to make an authorization decision, access to information can become more flexible, allowing it to follow the desired flow of information throughout its lifecycle. This flexibility allows organizations to protect their information without worrying about the protection stopping the natural flow of business.

The invention provides an automation straightener for a drilling tool, which comprises a base, a pressure machine, a roller, a lifting device, a movable cushion block, a detecting trolley, and a control module, wherein the base is used for supporting; the pressure machine is used for pressing against the straightening drilling tool and is movably arranged on the upper part of the base; the roller is used for rotating the drilling tool, and one end of the roller is arranged on the base in a stretchable connection way; the lifting device is used for jacking the drilling tool, and one end of the lifting device is fixedly arranged on the base and positioned at the outer side of the roller; the movable cushion block is used for supporting the drilling tool, and one end of the movable cushion block is movably arranged on the base; the detecting trolley is used for detecting shape and position data of the drilling tool and is movably arranged on the base, and transmits the data to the control module; and the control module receives the data transmitted by the detecting trolley, and controls the actions of the pressure machine, the roller, the lifting device, the movable cushion block and the detecting trolley according to the data and a preset program. The automation straightener for the drilling tool realizes automatic detection and automatic control when the drilling tool is repaired by using the detecting trolley and the control module, thereby largely reducing human intervention, realizing the automation for drilling tool repair and achieving high accuracy of drilling tool repair, rapid speed, and high stability.

The invention discloses a realizing method for a long-distance electrocardiogram monitoring system with automatic analyzing and real-time information sharing functions. The method comprises the steps that 1, automatic dynamic electrocardiogram analyzing equipment collects electrocardiogram signals and motion sensor signals and analyzes the signals in real time; 2, the automatic dynamic electrocardiogram analyzing equipment transmits analysis results in a wireless mode through a low-power-consumption Bluetooth communication module; 3, a user monitoring terminal receives data, processes the data locally in real time and the transmits the data to a long-distance monitoring terminal; 4, information received by the long-distance monitoring terminal is transmitted to a long-distance index real-time analysis processing and early warning module, and processed results are submitted to an information sharing module; 5, the information sharing module enables received information to be shared in real time according to the preset share range and the sharing mechanism. The method has the advantages that data wirelessly transmitted are reduced to the maximum degree, human intervention is reduced, high automation degree analysis is achieved, and the real-time prediction and early warning ability of severe events is improved.

The invention discloses a method for automatically installing or uninstalling application software of computers and a device thereof; the device comprises a booting script supporting group policy based on Windows Server 2003 active directory; the method comprises the followings steps: executing appointed script programs through the group policy during booting of the computer, creating a shared folder on a server; creating program files required by silent installation or uninstallation and storing the program files in the shared folder, creating a configuration file for storing the shared path of the files obtained in the previous step, creating the path stored according to the configuration file, creating a database for storing the results of installing or uninstalling application software of the target computer, creating booting script programs, and creating new group policy to set the scripts as booting scripts and establish link between the booting scripts and an organization unit. The invention has the positive effects of achieving the flexible automatic installation or uninstallation of application software, facilitating use, simplifying the operations, returning the installation results and reducing the human intervention.

The invention discloses a high-resolution remote sensing image classification method based on a novel feature pyramid depth network. The method comprises the following steps: firstly, designing a novel deep convolutional neural network on the basis of a ResNet34 network model; secondly, inputting the high-resolution remote sensing image into the network for training, and taking the output of eachmain convolution layer of ResNet34 as a subsequent input feature; fusing the input features by using a feature pyramid network to form new features; then, fusing the new deep-layer features and the new shallow-layer features to serve as inputs of an upper branch and a lower branch, and designing two residual blocks and a global average pooling layer on each branch; and fusing the features of the upper and lower branches and then sending to a full connection layer, and classifying the remote sensing images through a SoftMax layer. According to the invention, feature extraction and fusion are carried out on the high-resolution remote sensing image based on the deep learning theory, so that each feature is enhanced. The new features are fused again and then sent to the upper branch and the lower branch to learn image-level features, and experiments prove that the proposed method can achieve a good classification effect.