350 results about "Collection management" patented technology

Computer-implemented processes are disclosed for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to a user's collection of items. Information about the resulting clusters is then used to select items to use as recommendation sources. Another process involves displaying the clusters of items to the user via a collection management interface that enables the user to attach cluster-level metadata, such as by rating or tagging entire clusters of items. The resulting metadata may be used to improve the recommendations generated by a recommendation engine. Another process involves forming clusters of items in which a user has indicated a lack of interest, and using these clusters to filter the output of a recommendation engine. Yet another process involves applying a clustering algorithm to the output of a recommendation engine to arrange the recommended items into cluster-based categories for presentation to the user.

Computer-implemented processes are disclosed for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to a user's collection of items. Information about the resulting clusters is then used to select items to use as recommendation sources. Another process involves displaying the clusters of items to the user via a collection management interface that enables the user to attach cluster-level metadata, such as by rating or tagging entire clusters of items. The resulting metadata may be used to improve the recommendations generated by a recommendation engine. Another process involves forming clusters of items in which a user has indicated a lack of interest, and using these clusters to filter the output of a recommendation engine. Yet another process involves applying a clustering algorithm to the output of a recommendation engine to arrange the recommended items into cluster-based categories for presentation to the user.

Computer-implemented processes are disclosed for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to a user's collection of items. Information about the resulting clusters is then used to select items to use as recommendation sources. Another process involves displaying the clusters of items to the user via a collection management interface that enables the user to attach cluster-level metadata, such as by rating or tagging entire clusters of items. The resulting metadata may be used to improve the recommendations generated by a recommendation engine. Another process involves forming clusters of items in which a user has indicated a lack of interest, and using these clusters to filter the output of a recommendation engine. Yet another process involves applying a clustering algorithm to the output of a recommendation engine to arrange the recommended items into cluster-based categories for presentation to the user.

Computer-implemented processes are disclosed for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to a user's collection of items. Information about the resulting clusters is then used to select items to use as recommendation sources. Another process involves displaying the clusters of items to the user via a collection management interface that enables the user to attach cluster-level metadata, such as by rating or tagging entire clusters of items. The resulting metadata may be used to improve the recommendations generated by a recommendation engine. Another process involves forming clusters of items in which a user has indicated a lack of interest, and using these clusters to filter the output of a recommendation engine. Yet another process involves applying a clustering algorithm to the output of a recommendation engine to arrange the recommended items into cluster-based categories for presentation to the user.

Apparatus and methods for deterministically classifying and indexing objects that are perceived arbitrarily and subjectively, such as digital media and file representations of photographs, in a database. A user establishes various personalized descriptive category sets to organize media, such as digital photographs, video, and audio. The descriptive category sets include categories to describe some aspect or attribute of the objects of the user. Each category may be arbitrarily definable and contain a finite number of descriptors, constituting values within the category. Objects are entered into collections by filtering the objects according to the descriptors of the descriptive category set. A user may thus arbitrarily define a schema of classification according to perceptions, links, experiences, and the like, according to the subjective memory, vocabulary, and mental connections of a user.

Computer-implemented processes are disclosed for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to a user's collection of items. Information about the resulting clusters is then used to select items to use as recommendation sources. Another process involves displaying the clusters of items to the user via a collection management interface that enables the user to attach cluster-level metadata, such as by rating or tagging entire clusters of items. The resulting metadata may be used to improve the recommendations generated by a recommendation engine. Another process involves forming clusters of items in which a user has indicated a lack of interest, and using these clusters to filter the output of a recommendation engine. Yet another process involves applying a clustering algorithm to the output of a recommendation engine to arrange the recommended items into cluster-based categories for presentation to the user.

Computer-implemented processes are disclosed for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to a user's collection of items. Information about the resulting clusters is then used to select items to use as recommendation sources. Another process involves displaying the clusters of items to the user via a collection management interface that enables the user to attach cluster-level metadata, such as by rating or tagging entire clusters of items. The resulting metadata may be used to improve the recommendations generated by a recommendation engine. Another process involves forming clusters of items in which a user has indicated a lack of interest, and using these clusters to filter the output of a recommendation engine. Yet another process involves applying a clustering algorithm to the output of a recommendation engine to arrange the recommended items into cluster-based categories for presentation to the user.

Techniques are provided to allow users of Electronic Design Automation (EDA) tools to define constraint template types for efficiently associating constraints with design objects to specify design intent. Processes for creating and validating the constraints are provided by user-defined plug-ins, thereby allowing users to annotate circuit designs with constraints for proprietary layout and fabrication processes without exposing the constraints to tool vendors or competitors. The constraints are re-created from the template types whenever the circuit design is loaded into the EDA tool, so that the constraints are based upon the latest version of the template type. The constraints are also re-created when validation fails. Constraint groups are reusable in different designs, technology nodes, and processes because they automatically expand to provide the specific constraints to achieve a goal. The specific constraints in a template type can be modified as technology changes, and the modification will automatically be applied to the design objects.

The invention relates to a distributed extendable resource monitoring system and method based on a cloud platform. The distributed extendable resource monitoring system comprises a monitoring object database, a collection management node, collection servers, a management node database and a performance database. The monitoring object database is used for storing configuration information of a target monitoring object; the collection management node is used for distributing collection tasks to the collection servers according to the target monitoring equipment information assembly collection tasks and maintaining states and performance of all the collection servers; the collection servers are used for monitoring dispatch of the collection tasks, managing collection plug-ins and storing collection result data; the management node database is used for storing login information and state information of the collection servers; the performance database is used for storing the data collected by the collection servers. The accurate real-time monitoring data are provided for a user, and the user can fast perceive whether system resources can support a current service requirement or have over redundancy by analyzing the monitoring data, so that the purposes of stable service operation and maximized utilization of the resources are achieved.

The invention provides an IoT (Internet of Things)-technology-based refuse collection management system which comprises a decision management layer, a center dispatching management layer and a dock comprehensively-dispatching management layer from top to bottom. A data processing flow of the refuse collection management system is implemented in a logistics mode, and the refuse collection management system comprises an operating layer, a wharf dispatching layer, a center dispatching management layer and a decision management layer, wherein the operating layer generates operation information and then feeds back or transfer the operating information to the wharf dispatching layer through the system and each hardware device interface, and after the operating information is formatted, final statements and final reports are formed and uploaded to the center dispatching layer, and then the center dispatching layer organizes the final statements and the final reports and then transfers operating data to the decision management layer. The refuse collection management system comprises an operation monitoring command center (as an upper dispatching center) and an operation management subsystem comprising a transfer station operation management system, a wharf and storage-yard operation management system, a ship dispatching management system, a refuse wharf short-barge operation management system, an emergency dispatching command system and a data statistical analysis and statement management system.

The invention discloses a mobile communication terminal, including an input module of health information used for inputting the health information of organisms; the health information inputted to the mobile communication terminal is transmitted to an appointed server in a wireless manner by the communication module of the mobile communication terminal. The invention further discloses a collectionmethod of health information, including: inputting the health information of organisms; and transmitting the health information to the appointed server in a wireless manner. The application of the mobile communication terminal can simplify the collection management process of health information, and the mobile communication terminal is convenient to use.

An apparatus and method for detecting a Hyper Text Transfer Protocol (HTTP) botnet based on the densities of transactions. The apparatus includes a collection management unit, a web transaction classification unit, and a filtering unit. The collection management unit extracts metadata from HTTP request packets collected by a traffic collection sensor. The web transaction classification unit extracts web transactions by analyzing the metadata, and generates a gray list by arranging the extracted web transactions according to the frequency of access. The filtering unit detects an HTTP botnet by filtering the gray list based on a white list and a black list.

The invention discloses a three-dimensional visual bridge disease information collection management system and a three-dimensional visual bridge disease information collection management method, wherein the information collection management system comprises a disease record storage module, a bridge three-dimensional modeling module, a disease information collecting module, a disease record management module and a user permission management module; the disease record storage module is used for providing a data storage medium and defining the disease information discrete storage mode; the bridge three-dimensional modeling module is used for building a three-dimensional model of a bridge; the disease information collecting module is used for performing disease information recording on the basis of the three-dimensional model of the bridge; the disease record management module is used for performing three-dimensional visual management on disease records in the disease record management module; and the user permission management module is used for controlling the permission of a user on the system operation. When the system is used, the specific positions of diseases and the historical relationship between new and old diseases can be recorded; the space distribution and historical development conditions of the diseases can be shown; the disease records can be managed in a graphical entry mode; and convenience and high efficiency are realized.

The invention relates to the intelligent gas device control technology field and particularly relates to a whole life-cycle management model for intelligent gas device. The whole life-cycle management model for the intelligent gas device comprises an order module, a machine processing module, an assembling module, a quality inspection module, a factory leaving module and a monitoring system for monitoring products after leaving the factory. The whole life-cycle management model can visualize the production and management and operation of the gas products, benefits the perfection and monitoring of the product, realizes the positioning of the fault point, fully understand the operation cycle condition of the product, can specifically improve the product during the production process, provides the comprehensive data support to the tracking service and health diagnosis of the device, and can realize the full range tracking on the key part and the device. The data recording process is transformed from depending on manual collection management to automatic recording and filing by system and intelligent analysis. The invention realizes the transformation from the piled-up paper-made product file storage to big data storage which access to the Internet for sharing.

The invention relates to an invoice collection management system and method based on an OCR image recognition technology. An invoice information acquisition unit of the system acquires invoice pictureinformation data; the OCR image identification unit identifies and reads the invoice image information data based on an OCR image identification technology in combination with an artificial intelligence deep learning algorithm to obtain an OCR image identification result; the invoice information verification processing unit identifies the invoice type of the OCR image identification result and automatically calls a tax bureau value-added tax invoice authenticity checking platform to carry out authenticity checking when the identification result is the value-added tax invoice; the invoice information storage management unit stores an OCR image recognition result of which the identification result is a non-value-added tax invoice, repeatedly collects and checks the OCR image recognition result of the value-added tax invoice of which the check result is true, and then correspondingly stores the OCR image recognition result; and the invoice information classification display unit carriesout classification display processing on the invoice information data and comprehensively realizes the whole process of collection, identification, checking, processing and storage of the invoice information data.

The invention discloses an intelligent garbage collection path planning method based on a quantum cuckoo search algorithm. The method comprises the following steps: S1, the state of a garbage can is detected, whether the garbage can is full is determined, and the full garbage can data are obtained; S2, the transmitted data of each garbage can are subjected to path planning through the quantum cuckoo search algorithm; and S3, according to path planning, a garbage collection navigation map is drawn. The quantum cuckoo search algorithm is designed for planning the collection path, a quantum double chain encoding mode is adopted to improve the cuckoo search algorithm to plan the best collection path, and the garbage collection navigation map is finally made according to the collection path. The method has the advantages of good intelligence and high efficiency, the collection path accuracy is improved, the cost manpower and mateiral resurces for garbage collection management in a certain range can be effectively saved, and the operation cost is greatly reduced.

The invention discloses a full-flow model rule commercial bank personal loan overdue collection management system and belongs to the software development technology field. With the computing aid of an IT system, the repayment condition of each loan is identified through a loan risk control model; the system automatically judges the most reasonable way of loan collection and can effectively process overdue transactions through collection implementation, collection adjustment supervision, collection historical inquiry and collection statistical report standardization and intelligent management modules so as to push forward collection works according to different layers and with specific purposes, and therefore, the safe collection of credit funds can be ensured. With the full-flow model rule commercial bank personal loan overdue collection management system of the invention adopted, the production of a collection process model and the collection of customer activity data can be realized; and data are accumulated, and therefore, customer overdue behavior analysis can be performed, and customer overdue conduct rules and collection rules are updated.

The invention discloses bacillus cereus with heavy metal passivating and plant growth promoting functions and application of the bacillus cereus, and belongs to the technical field of microbial strains. The name of the bacillus cereus is bacillus cereus B19, and is preserved in the China General Microbiological Culture Collection Management Committee Centre of Institute of Microbiology, Chinese Academy of Sciences, 3#, No.1 Yard, West Beicheng Road, Chaoyang District, Beijing, on April 27th, 2016; the preservation number is CGMCC NO. 12405. The bacillus cereus has the functions of passivating heavy metals and promoting plant growth, is suitable for decomposing difficultly soluble phosphorus, and is used for producing auxin, resisting salt, resisting the heavy metals, promoting plant seed germination, increasing effective phosphorus and microbial carbon and nitrogen of soil, and reducing available heavy metals in the soil.

A method and a system for video collection management are provided. The method and the system can gather related videos in a network, classify the videos into multiple channels and recommend the channels to be viewed by the user. The method and the system can check the videos of the channels periodically to determine whether the videos are valid or invalid and search for other videos to replace the invalid videos. The method and the system also provide continuous, cross-apparatus and cross-channel video replay.

The invention relates to lactococcus lactis subsp.lactis, antibacterial peptide produced by lactococcus lactis subsp.lactis and the application of antibacterial peptide. In the invention, the collection number of the lactococcus lactis subsp.lactis LLC518 in the General Microorganism Center of China Microorganism Culture Collection Management Committee is CGMCC No. 4584. In the invention, the antibacterial peptide produced by the lactococcus lactis subsp.lactis can restrain micrococcus tetragenus, Bacillus thuringiensis, lactococcus lactis and listeria innocua, particularly, has strong restraint function to L. monocytogenes which can cause serious food poisoning. Thus, the lactococcus lactis subsp.lactis and the antibacterial peptide thereof have active function in food fresh keeping.

The invention relates to application in fields of traffic management, fee collection management, safe vehicle early warning, alarming and help seeking, fog monitoring, and traffic commanding and the like on the highway, especially to an integrated system and method for rapid vehicle clearance, non-stop fee payment, safe early warning, fog monitoring, and command management of vehicles on a highway. The integrated method and system are characterized in that vehicle-mounted equipment and method for realizing vehicle traffic management, safe early warning, alarming and help seeking, and traffic guidance, a command system and method for realizing vehicle monitoring, commanding, and communication on the highway, a management system and method for realizing non-stop entrance and non-stop exit of vehicles driving on and down the highway, a system and method for realizing non-stop entrance and non-stop fee collection and exit by using common smart phone APP software, and a method for realizing monitoring and alarming of a foggy situation are provided and implemented.

The invention relates to lipid-rich chlorella and culture application thereof. The strain is SF-B1, is classified and named as Chlorella sp., and has been preserved in the General Microbiological Center of the China Microbiological Culture Collection Management Committee on July 6, 2015, and the preservation number is CGMCC No. 11005. The chlorella can tolerate high-concentration CO2 and NOx, thecarbon fixation efficiency is high, and the total lipid content of cells in obtained biomass is 45% or above of the dry weight of the cells.

This invention discloses one intelligent set monitor system, which comprises monitor host, joint machine, software information collection management network, wherein, monitor host and each point are connected through management network; collection card set on host and joint card on each joint are connected through network by chrysanthemum type to form special hardware information collection management network; the monitor host is set with monitor module to send collection hardware information order; the collection card drive point collects hardware information to send to monitor module with agent module.

The invention relates to an RFID (Radio Frequency Identification Devices) technology based commodity supply chain system structure. The RFID technology based commodity supply chain system structure comprises a raw material collection management structure, a production management structure, a warehouse management structure, a logistics management structure and a sales management structure; every management structure in a commodity supply chain is provided with an RFID event processing manager according to a commodity anti-counterfeiting traceability system; every RFID event processing managers is used for reading the RFID event information through an RFID read-write device; the commodity safety traceability management is implemented through the Internet due to the commodity anti-counterfeiting traceability system. According to the RFID technology based commodity supply chain system structure, the basis weight is the RFID technology based commodity anti-counterfeiting traceability system, the characteristics of RFID are adopted, and accordingly the management purpose of the commodity safety traceability can be achieved and the efficient, real-time and convenient effects are achieved in comparison with a file recording tracing method; the completely transparent management is provided in the commodity supply chain and accordingly the whole visual control, monitoring and traceability of the commodity safety can be ensured and problem commodities can be recalled; consumers can query the complete tracing information of purchased commodities through the Internet.

The invention discloses a parking lot fee collection management system. The parking lot fee collection management system includes an NFC reading system, a vehicle fee collection management system and a data processing center; the NFC reading system performs data transmission with the vehicle fee collection management system through wireless communication; the vehicle fee collection management system performs data transmission with the data processing center through the Internet; the NFC reading system reads parking car owner user information; the vehicle fee collection management system calculates parking fees; and the data processing center stores user detailed data information and performs fee deduction. With an NFC radio frequency identification technology and a computer control technology adopted, the parking lot fee collection management system of the invention is advantageous in high-degree automation, accurate control, convenient use, accurate billing, high efficiency, avoidance of redemption, unattended operation and the like.

A collection management system, or virtual jukebox, is provided for a collection of recordings that is independent of the physical media upon which the material is recorded. The system forms a part of a network that includes storage media and playback devices, and provides an easy to use system for collection cataloging, archiving, and retrieval. In a preferred embodiment, a collection management system resides on a consumer electronic (CE) device, or a personal or home computer (PC), and the collection includes recordings that are stored on one or more hard drives associated with the CE device or the PC. The collection management system includes a user interface that facilitates the retrieval of recordings for playback from one or more storage devices, based on an individual selection of genre, author, and so on. By storing the recordings on a hard disc drive or other mass storage device with an associated disk operating system, immediate access is available to each recording on the drive, and additional drives can be added to the system as new material is added to the collection.

The invention provides an Internet of things garbage classification collection management service system, comprising at least one garbage classification collection bin, an Internet of things data center and at least one garbage disposal center. According to the invention, in a garbage putting link, a user can perform garbage classification putting in the garbage classification collection bin; the Internet of things data center can determine a corresponding garbage disposal center for subsequent disposal according to garbage types and weights. The whole system has a simple structure, and can realize garbage classification disposal, take full advantage of garbage, effectively solve garbage reduction of a garbage source, and improve garbage disposal efficiency.

Providing interaction to an application with a collection of information stored in a Document Object Model is disclosed. The collection is maintained in the Document Object Model. A virtualization layer provides one or more collection interfaces to the collection. An indication of an interaction of the application with the collection is received. The collection interfaces include a safety buffer and the interaction of the application with the safety buffer triggers a functionality of the virtualization layer.