35results about How to "Improve information flow" patented technology

An apparatus, system and method for providing an advisor decision enabling tool. The apparatus, system and method includes a plurality of networked computers, wherein at least one user of each of the plurality at least electronically communicates with a plurality of clients at least partially over the network, and a first computing engine comprising at least computing code associated with at least a first processor capable of accumulating data regarding ones of the plurality if clients and actions by each of the at least one user, wherein the first computing engine accepts a plurality of tags indicative of the accumulated data, and wherein the tags are dictated by the at least one user.

A computer-based system to facilitate providing advisory services to clients, comprising a networked server computer having a data accumulation engine that accepts user information, client information of clients of the users, and a plurality of user-defined tags. The data accumulation engine is operable to accumulate data regarding actions of the user and information associated with the user's clients in accordance with the clients' respective associated tags. The server also has a filtering engine that filters the data responsive to user requests; and a service engine for use in providing services targeted to clients based on the filtered data.

Systems and methods for managing healthcare treatment using closed-loop control are described. A method includes wirelessly receiving quality-of-care information from a patient mobile communication device, reporting the quality-of-care information to a quality tracking system, and receiving an incentive payment responsive to reporting the quality-of-care information to the quality tracking system. The quality-of-care information may relate to one or more quality-of-care indicators used to incentivize a provider or consumer of healthcare services. A patient may be alerted to the quality-of-care indicators for specific medical conditions. Personalized and specific notifications generated by an application residing in the patient's mobile device or running in the cloud may be communicated to the patient electronically, including prompts to the patient to take specific action in order to best manage a medical condition or prescribed treatment. A healthcare provider may be notified of a treatment or quality-of-care recommended action to be taken.

The invention designs a deformable convolution hybrid task cascade semantic segmentation method based on embedded balance, which is used for realizing image target recognition and semantic segmentation, and comprises the following steps: inputting a cut image into a pre-trained neural network; mapping the two samples to the same scale space through a feature pyramid network; performing informationfusion on semantic features extracted from different hierarchies; predicting a pixel-level segmentation result by adopting a convolution layer; performing feature extraction on the input image by adopting a deformable convolutional neural network at the convolution and pooling part of the feature pyramid network to obtain a feature map; dividing the feature map into parts with the same size; inputting a feature map obtained after passing through the feature pyramid network into a regional candidate network for training the network; wherein the region candidate network comprises a target detection classifier and a candidate frame positioning classifier, the target detection classifier outputs a target recognition result and prediction accuracy, and the candidate frame positioning classifier can provide accurate positioning for candidate regions and output candidate frames of a plurality of candidate regions. According to the method, the semantic segmentation positioning accuracy and the segmentation accuracy are improved.

The invention belongs to the technical field of deep space interplanetary satellite network transmission. The deep space interplanetary satellite network transmission is characterized by comprising the following steps of: beginning to send information data in a connection establishing stage; adopting a sending strategy of sending three priorities of packet data at equal intervals in a crossed way; adopting an initialization sending strategy; judging data loss reason according to loss situations of different priorities of packet data; analyzing network congestion degree; adopting a corresponding information traffic control algorithm; and adopting an actively and periodically selected receiving and answering strategy. In a deep space interplanetary satellite network with extremely high random error codes, serious burst error codes, extremely long propagation delay and very asymmetric channel width, by using the method, the connection waiting time consumption can be avoided, the information traffic can be rapidly increased, the link error code and congestion situation can be effectively distinguished, and the corresponding information traffic control can be adopted according to the congestion degree of the network to largely reduce the transmission bandwidth requirement of a reverse link.

The invention provides a method and a device for pushing information. The method includes acquiring pushing parameters of each piece of information; determining information access parameters of each user within each fixed time period T according to the acquired pushing parameters; automatically selecting target users meeting conditions according to the information access parameters of each user within the last fixed time period T and pushing the information to the target users. The pushing parameters include information pushing time, information pushing users and information accessed frequency. The information access parameters at least include information access frequency within the fixed time period T, information access trend and last information access moments within the fixed time period T, and the information access trend is determined by the information access frequency. The method and the device have the advantages that purposes of automatically screening the target users and pushing the information to the target users can be achieved by the method and the device, and the information access rate and the information flow rate can be increased.

The invention provides a container monitoring system which comprises a front end monitoring sub-system. The front end monitoring sub-system comprises a multi-channel data forwarding device and a monitoring module, wherein the monitoring module comprises a container monitoring terminal, a passive electronic tag and an active electronic tag lock. The container monitoring terminal is connected with the multi-channel data forwarding device to conduct communication, and comprises a temperature and humidity detection module, an illumination intensity detection module, a Doppler radar detection module, a pressure detection module, a minitype navigation position detection module and a positioning module. The system has the advantages of enabling the whole logistics process of containers to be more transparent, effectively enhancing monitoring of the government and the owner on the whole logistics process, timely controlling the transportation trend, enabling the safety of the links of the container logistics to be more controllable, preventing cargos from being stolen, and improving the transportation quality of the cargos.

The invention belongs to the technical field of ecological restoration and particularly relates to a water body ecological restoration method. The water body ecological restoration method comprises the steps that the water surface is cleaned, then submerged plants, emergent aquatic plants and floating-leaved plants are planted, and aquatic animals are put in. According to the water body ecological restoration method, sludge at the water bottom is treated with a plant blanket in-situ coverage method, root systems of the emergent aquatic plants are fixed with pollution-free clay, and a putting-in type planting method is adopted for the floating-leaved plants and the emergent aquatic plants. The aqueous plants can provide an adhesion symbiotic space for microorganisms, and provide a food source for aqueous animals, fish and shellfish are put in when the aquatic plants grow stably, and a rapid and simple water body forest system is formed. By means of the water body ecological restoration method, the effects of fixing sludge at the water bottom, restoring the natural ecological environment and maintaining the water to be clear permanently can be achieved; meanwhile, a dwelling site can be provided for fish and birds, and certain river landscape can be formed.

The invention provides a single-point logging-out method applied to a client side. The single-point logging-out method comprises the following steps of: receiving logging-out request operation input by a user; sending a logging-out request to a CAS (Center Authenticate Service) server according to the operation so as to lead the CAS server to call a logging-out page on the basis of the logging-out request, wherein the logging-out page includes a first logging-out script and a second logging-out script, the first logging-out script is used for indicating that sub-servers are respectively notified to cancel user session information storage, and the second logging-out script is used for indicating logging out of the CAS server; and based on the logging-out page, indicating that single-point logging-in mapping relationships between the CAS server and the sub-servers are respectively disconnected, and indicating the CAS server to cancel a user credential of the user. The single-point logging-out method provided by the invention has the advantages that the client side notifies the sub-servers to cancel the user session information storage and indicates the CAS server to cancel the user credential of the user, so that the information flow in the logging-out process is improved and the communication load among the servers is reduced; and since both global Filter registration and Map maintenance are not needed for the sub-servers, the implementation cost of the sub-servers in single-point logging out is reduced.

A computer-based system to facilitate providing advisory services to clients, comprising a networked server computer having a data accumulation engine that accepts user information, client information of clients of the users, and a plurality of user-defined tags. The data accumulation engine is operable to accumulate data regarding actions of the user and information associated with the user's clients in accordance with the clients' respective associated tags. The server also has a filtering engine that filters the data responsive to user requests; and a service engine for use in providing services targeted to clients based on the filtered data.

The invention discloses a multi-scale conversion target detection algorithm based on deep learning, and the algorithm is characterized in that the algorithm comprises the following steps: S1, carryingout the feature extraction through employing a basic network; S2, adopting a multi-scale conversion module to process the features generated by the convolutional network; And S3, carrying out accurate positioning on the target and classifying the output target by adopting a target positioning and classifying module. According to the algorithm, the information flow and the gradient of the whole network are improved, so that the training is easier. Each layer can directly access a loss function and a gradient of an original input signal, thereby realizing implicit deep monitoring, and helping to train a network architecture more deeply.

The invention relates to an intelligent power grid and user integrated communication system and a communication method thereof. The system comprises a power grid side system, a data center system, and a user side system. The user side system includes a user side intelligent device and a user side energy management system, wherein the user side intelligent device and the user side energy management system are mutually connected by an interference V; the user side energy management system is connected with a gateway device by an interface IV; the gateway device is connected with the power side system and the data center system respectively by an interface II and an interface III; and the power side system is connected with the data center system by an interface VI. The method comprises the following steps: analyzing information interaction demands of the intelligent power grid and the user; defining the information interaction function specification; analyzing an objective involved in the function and an interaction process involved in the function; defining a static information model; defining a dynamic information exchange model; carrying out communication protocol mapping; and carrying out communication technology selection. According to the invention, information interaction between the power grid and the user is supported; and the efficiency as well as environmental friendliness of the whole energy supply link centering on the power is improved.

The invention discloses a human body key point detection method based on an attention residual module and branch fusion. The method belongs to the technical field of computer vision, and comprises thefollowing steps: performing feature processing on an input picture by using a feature extraction network to obtain a feature map; inputting the feature map into a region generation network to obtaina target suggestion box; performing region pooling operation to obtain a region-of-interest feature map; inputting the image into a convolution layer to carry out feature extraction operation to obtain a feature map I; performing feature extraction and fusion by using the branch I and the branch II; superposing the results of the two branches, carrying out resolution restoration through deconvolution, and then carrying out double linear interpolation up-sampling ; and modeling the positions of the key points into a one-hot binary mask for training. According to the invention, the diversity ofinformation output by the network is improved, different visual fields are better captured, the problem of disorder of detection key points is effectively solved in a simple scene, the accuracy and efficiency of the method are improved, and the method can well adapt to a complex scene.

The invention provides a door body distribution system for a refrigerator production line. The door body distribution system for the refrigerator production line comprises a conveying rail, multiple carrying devices, a first information reading-writing module, a second information reading-writing module, a third information reading-writing module and a door body management module, wherein the conveying rail is arranged along a door body assembly area, a door body storage area and a refrigerator final assembly area in the refrigerator production line; the multiple carrying devices are arranged on the conveying rail; each carrying device is used for carrying a whole set of door body of a refrigerator, and is provided with an electronic label; the first information reading-writing module is configured to write corresponding door body information on the electronic labels of the carrying devices mounted in a door body in the door body assembly area; the second information reading-writing module is configured to read the door body information recorded in the electronic labels of the carrying devices passing through or placed in the door body storage area; the third information reading-writing module is configured to read the door body information recorded in the electronic labels of the carrying devices of which the door body is unloaded in the refrigerator final assembly area; and the door body management module is configured to obtain and store the information of the door body carried by the multiple carrying devices and the positions of the multiple carrying devices.

The invention discloses a modular biological analysis system based on a droplet array chip, and application of the modular biological analysis system. The system comprises at least one functional module, one or more batteries, and an electronic circuit module, wherein each functional module comprises an optical detection module, a chip motion control module, a magnetic field control module and a temperature control module; the optical detection module, the chip motion control module, the magnetic field control module and the temperature control module are separately connected with the batteries and the electronic circuit module; the optical detection module is connected with the chip motion control module; the magnetic field control module and the temperature control module are positionedunder the chip motion control module. The modular biological analysis system based on the droplet array chip is applied to biological detection. The system has the advantages of being convenient to operate, flexible in application, high in information flux and degree of automation, and the like, thus being very suitable for carrying out biological detection of grass-roots clinics, bedside diagnosis, field detection and areas with limited medical resources.

The invention provides a detection method and kit for lung cancer gene mutation sites. The detection method comprises the following steps: firstly, preparing a digital PCR mixed solution, wherein the digital PCR mixed solution does not contain cytosine triphosphate deoxynucleotide, and a primer used in digital PCR mixed solution contains a nucleic acid sequence N with not less than 13 basic groups; secondly, performing a PCR amplification reaction by using the digital PCR mixed solution to obtain a product after the PCR amplification reaction; and finally, according to the type of fluorescence signals, judging whether a to-be-detected sample contains a DNA template with the site mutation of the target gene or not, and the number and mutation abundance of the DNA template. The unique ultra-multiplex digital PCR technology greatly improves the information flux of tumor gene detection, 99 heavy sites can be amplified in two reaction systems, the problem that the sensitivity is reduced due to sample branching is avoided, and meanwhile, the clinical significance of detection is greatly improved due to the increase of the number of detection sites.

An apparatus, system and method for providing an advisor decision enabling tool. The apparatus, system and method includes a plurality of networked computers, wherein at least one user of each of the plurality at least electronically communicates with a plurality of clients at least partially over the network, and a first computing engine comprising at least computing code associated with at least a first processor capable of accumulating data regarding ones of the plurality if clients and actions by each of the at least one user, wherein the first computing engine accepts a plurality of tags indicative of the accumulated data, and wherein the tags are dictated by the at least one user.

An apparatus, system and method for providing an advisor decision enabling tool. The apparatus, system and method includes a plurality of networked computers, wherein at least one user of each of the plurality at least electronically communicates with a plurality of clients at least partially over the network, and a first computing engine comprising at least computing code associated with at least a first processor capable of accumulating data regarding ones of the plurality if clients and actions by each of the at least one user, wherein the first computing engine accepts a plurality of tags indicative of the accumulated data, and wherein the tags are dictated by the at least one user.

The invention discloses a brain glioma segmentation model and segmentation method based on deep learning, belongs to the technical field of brain glioma segmentation, and aims to solve the technical problem of how to accurately segment brain glioma. The segmentation model comprises: a coding model which comprises a convolution layer and N coding modules, wherein the coding model comprises a hole dense unit and a pooling layer located at the output end of the hole dense unit; a decoding module, wherein the decoding module comprises a head end decoding module, a middle decoding module and a tailend decoding module which are connected in sequence, the output end of the head-end decoding module is in jump connection with the output end of the hole dense unit in the tail-end encoding module through a jump connection layer, the output end of each intermediate decoding module is in jump connection with the output end of the hole dense unit in the corresponding intermediate coding module through a jump connection layer, the tail end decoding module comprises a convolution layer, a hole dense unit and a convolution layer which are connected in sequence, and the tail end decoding module islocated at the output end of the related jump layer of the previous decoding module.

The invention discloses a method for establishing a freshwater lake ecosystem, and belongs to the technical field of freshwater environmental pollution control. The method for establishing the freshwater lake ecosystem comprises the following steps of water quality improvement, water level maintenance, land-water interface treatment, bottom mud improvement, food network chain establishment, waterquality monitoring and the like, and an algae inhibitor throwing device is also arranged. Conditions for restoring the water ecosystem are established through combination of physics, chemistry and biology, and nitrogen and phosphorus pollutants in water are effectively degraded and absorbed by match of warm and cold plants, so that pollution load of a water body can be effectively reduced, the water body is purified, and the water ecosystem is stabilized. Aquatic plants and aquatic animals are thrown to construct a reasonable food network chain, and a plurality of aquatic plants and aquatic animals can exert a synergistic effect, so that the effect is more obvious compared with the effect of singly planting aquatic plants or singly throwing aquatic animals, transparency of the water body is improved, nutrient salts are reduced, and construction and restore of the water body ecosystem are facilitated.

An information system, in particular for a motor vehicle repair shop, includes at least one input unit to input data, in particular data about a motor vehicle to be repaired; a data management and / or data processing unit to store, managing and / or processing the inputted data; and at least one terminal to retrieve, reproduce and process the inputted data and / or for inputting additional data and transfer these data to the data management and / or data processing unit.

The invention discloses a power distribution network bearing capacity evaluation method and system for large-scale automobile charging loads, and the method comprises the steps: firstly, achieving the efficient expansion of data through combining a variational auto-encoder and a polynomial fitting method, effectively increasing the number of training samples, reducing the risk of over-fitting, and improving the reliability of the power distribution network bearing capacity evaluation. Then, the stability in a complex training environment is improved by adopting a self-adaptive biological influence optimization method, the accuracy of feature extraction and the training efficiency are improved, then, data are carefully captured and reconstructed by adopting a self-encoding neural network with self-adaptive refined features, the information flow is optimized, the dimensionality is reduced, important information is reserved, and the accuracy of feature extraction is improved. Then, an adaptive error compensation mechanism of a kernel extreme learning machine is adopted to adjust an error learning rate and weight update in real time, and the accuracy and robustness of the model are improved; through the above optimization training, the model can fully master the characteristics of the charging load data, and achieves the precise evaluation of the bearing capacity of the power distribution network through the output final category. Therefore, the method is high in accuracy.

The embodiment of the invention provides a content recommendation method and device, electronic equipment, a storage medium and a computer program product containing an instruction in the technical field of computers. The method comprises the following steps of displaying label user accounts corresponding to all field classifications to a current user account; obtaining a following instruction ofa current user account for a specified label user account, responding to the following instruction; and pushing the consumption content of the specified label user account to the current user account.Therefore, the content stream meeting the account demand of a new user can be quickly taught. The cold start process of the new user account is accelerated, the retention of the new user account andthe overall activity of the platform are further improved, meanwhile, the specified label user account followed by the old user account is obtained, the method can be used for optimizing the information flow of the old user account and avoiding the cocoon house effect of the information of the old user account, and therefore the old user account finds more wonderful content.

The invention provides a detection method and kit for colorectal cancer gene mutation sites. The detection method comprises the following steps: firstly, preparing a digital PCR mixed solution, wherein the digital PCR mixed solution does not contain cytosine triphosphate deoxynucleotide, and a primer used in digital PCR contains a three-dimensional structure and comprises a nucleotide sequence N of not less than 12 basic groups; secondly, performing a PCR amplification reaction by using the digital PCR mixed solution to obtain a product after the PCR amplification reaction; and finally, according to the type of fluorescence signals, judging whether a to-be-detected sample contains a DNA template of the site mutation of a target gene, and the quantity and mutation wind of the to-be-detected sample. The unique ultra-multiplex digital PCR technology greatly improves the information flux of tumor gene detection, as many as 140 heavy sites can be amplified in four reaction systems, the problem that the sensitivity is reduced due to sample branching is avoided, and meanwhile, the clinical significance of detection is greatly improved due to the increase of the number of detection sites.

The invention belongs to the technical field of ecological restoration and particularly relates to a water body ecological restoration method. The water body ecological restoration method comprises the steps that the water surface is cleaned, then submerged plants, emergent aquatic plants and floating-leaved plants are planted, and aquatic animals are put in. According to the water body ecological restoration method, sludge at the water bottom is treated with a plant blanket in-situ coverage method, root systems of the emergent aquatic plants are fixed with pollution-free clay, and a putting-in type planting method is adopted for the floating-leaved plants and the emergent aquatic plants. The aqueous plants can provide an adhesion symbiotic space for microorganisms, and provide a food source for aqueous animals, fish and shellfish are put in when the aquatic plants grow stably, and a rapid and simple water body forest system is formed. By means of the water body ecological restoration method, the effects of fixing sludge at the water bottom, restoring the natural ecological environment and maintaining the water to be clear permanently can be achieved; meanwhile, a dwelling site can be provided for fish and birds, and certain river landscape can be formed.

The invention relates to the technical field of image processing, and provides a rain removal method based on a feature supervision generative adversarial network. In order to improve the robustness and the parameter utilization rate of the network, a Dense Block module is used as a constituent part of a U-Net network structure in a generator. Each convolution layer of the DenseNet network structure can be connected with other convolution layers, so that feature propagation is enhanced, and the utilization rate of parameters is increased. Besides, the activation function of the hidden layer ofthe network adopts Leaky ReLu to replace ReLU so as to solve the problem that when the input value of the ReLU is negative, the output is always 0, neurons cannot update parameters, namely the neurons do not learn.

The invention provides a door distribution system for a refrigerator production line. The door distribution system for refrigerator production lines includes: a transmission track, arranged along the door assembly area, door storage area, and refrigerator assembly area in the refrigerator production line; multiple carrying devices, arranged on the transmission track, each The carrying device is used to carry a complete set of doors of a refrigerator, and is equipped with an electronic tag; the first information reading and writing component is configured to write to the electronic tag of the carrying device installed in the door assembly area Corresponding door body information; the second information read-write component is configured to read the door body information recorded in the electronic tag of the carrying device passing through or placed in the door storage area; the third information read-write component is configured to read the The door body information recorded in the electronic tag of the carrying device that unloads the door body in the final assembly area; and the door body management component is configured to obtain and save the information of the door body carried by the multiple carrying devices and the Location.

The invention relates to an intelligent power grid and user integrated communication system and a communication method thereof. The system comprises a power grid side system, a data center system, and a user side system. The user side system includes a user side intelligent device and a user side energy management system, wherein the user side intelligent device and the user side energy management system are mutually connected by an interference V; the user side energy management system is connected with a gateway device by an interface IV; the gateway device is connected with the power side system and the data center system respectively by an interface II and an interface III; and the power side system is connected with the data center system by an interface VI. The method comprises the following steps: analyzing information interaction demands of the intelligent power grid and the user; defining the information interaction function specification; analyzing an objective involved in the function and an interaction process involved in the function; defining a static information model; defining a dynamic information exchange model; carrying out communication protocol mapping; and carrying out communication technology selection. According to the invention, information interaction between the power grid and the user is supported; and the efficiency as well as environmental friendliness of the whole energy supply link centering on the power is improved.

The invention discloses a method for constructing ntaxial system ecology for fishes, grasses and shellfishes in the fresh-water substance, which is characterized by effectively combining the ecological character of water with the ecological and physiological properties of aquatic organisms to build and repair the ecology of the water substance by the synergy of the symbiotic mode of various organisms such as sunken plants, emergent aquatic plants, floating plants, shellfishes, filter fishes, carnivorous fishes, predatory fishes, omnivorous fishes and herbivorous fishes, giving full play to the self-purification capacity of the ecological system of the water substance, controlling pollution to the water substance and protecting the environment of the waters. The method of the constructing ntaxial system ecology for fishes, grasses and shellfishes in fresh-water substance of the invention can be suitably popularized in and applied to waters such as rivers, lakes, pools and streams.