198 results about "Multi item" patented technology

Laboratory Automated System and method for specimen processing, comprising several Clinical and Biological Analytical Modules is provided. The Module consists of coupling centrifuge, analyzers and robot. System produces rapid phase separation, cap removing and testing in one sequential, unbroken process. Several multi-item carriers for tubes and microplates loading provided.

Disclosed is an Internet-based method that enables users to search and browse for information (such as price) about a plurality of items (such as books) available for sale on the Internet, compare prices for the items individually or considered as a package, and optimize the package price. In a preferred embodiment, the invention searches for the lowest price and second lowest price for the desired items from Internet Web sites and databases, records the data in two matrices, and employs algorithms that implement certain set operations, including Cartesian product and set union, to optimize the result for all items.

The proposed system and method embodiments allow placing advertisements and searching for items within a network (Internet, intranets, etc.), particularly encompass server advertiser and consumer programs associated with database means, provide for multi-language, multi-currency, multi-items entry, multi-location, geographical-category and catalog-category resolution, multi-parameters setting, and other types of support. The method may include combinations of a normalized category suggestion, user feedback category / listing suggestion, custom-made category creation, and regular keyword search modes for placement and search phases. The user feedback suggestion is provided by the system memorizing previous user-approved linkages between entered keyterms and respective categories or listings, and then proposing them to current users entering similar keyterms. The normalized category suggestion is generated by the system storing records preferably based on a normalized data hierarchy. The custom-made categories may be converted into relational, object-relational, or object-oriented database records. Such modes facilitate placement and search for users of different skills levels.

A method and a system that associate items offered by sellers and others with selected categories within a network-based system are provided. The method and system may operate to include receiving a request including an item identification having at least one token, parsing the item identification to identify the token, and assigning a token weight to the token based on a total number of items offered at a site and a number of items offered at the site and associated with the token.

Systems and methods for conducting multi-item auctions for complex goods that allows bidders to specify budget constraints is disclosed. The system includes a server, a network, a plurality of trader systems and a data store unit. The system allows bidders to work effectively with limited budgets. The server includes an allocation unit performs a sealed-bid auction that enables bidding without the risk of going over budget, and thus, the present invention encourages bidders to place more and higher bids. Sellers will therefore receive higher prices and goods are more likely to be efficiently assigned.

Embodiments of the present invention encompass systems and methods for use in identity authentication. One illustrative application is in the context of authenticating the identity of a subject by verifying items of identifying information stored by, or accessible through, a plurality of data sources. In particular, a multi-item query can be presented to multiple data sources and the results of the query can be combined into an overall composite result that can be used to authenticate the subject's identity.

Embodiments of the present invention encompass systems and methods for use in identity authentication. One illustrative application is in the context of authenticating the identity of a subject by verifying items of identifying information stored by, or accessible through, a plurality of data sources. In particular, a multi-item query can be presented to multiple data sources and the results of the query can be combined into an overall composite result that can be used to authenticate the subject's identity.

The present disclosure is directed to a system and method for presenting restaurant items for multi-item restaurant item selection through a customer ordering kiosk, comprising the steps of receiving a signal representing that a multi-item restaurant item selection has been made, displaying a first indicator representing that a first restaurant item of a predetermined plurality of restaurant items has been selected and displaying a second indicator representing that a second restaurant item of the predetermined plurality of restaurant items still needs to be selected. The multi-item restaurant item selection represents selection of the predetermined plurality of restaurant items comprising the first restaurant item and the second restaurant item.

The invention relates to a medical system. Home doctor equipment and an intelligent doctor platform as well as the intelligent doctor platform and a remote diagnosis center are in bidirectional communication connection. The home doctor equipment is used for carrying out identification and verification on identities of users, carrying out collection, storage, and displaying on user sign information that is detected or inputted manually, and transmitting the collected information to the intelligent doctor platform; and the home doctor equipment interacts with the intelligent doctor platform to carry out on-line health consultation, appointment and doctor visiting or remote treatment. The intelligent doctor platform is used for collecting sign information and health record information of all users on the day or the specified date in real time, carrying out single-item evaluation or multi-item integrated evaluation automatically by consulting medical reference values corresponding to all sign information, and providing evaluation results for making a decision of disease diagnosis, risk assessment, drug distribution, and prescriptions making. A plurality of intelligent doctor platforms and the remote diagnosis center form a distributed multimedia sensor network and dual referral is realized by the remote diagnosis center.

The invention provides a synchronous detection test device for multi-item parameters of linear TBM hobs applied in the full-section hard-rock tunneling machine industry. The whole device consists of a self-counterforce frame, a regulate tool rest, an X-direction moving worktable, an X-direction linear guide rail, a Y-direction moving worktable, a Y-direction linear guide rail, an X-direction hydraulic cylinder, a rock sample, a hob, a four-rod guide mechanism, three-direction pressure sensors, a Z-direction hydraulic cylinder and the like, wherein the lateral movement direction of the rock sample is set as an X axis; the axial direction of the hob is set as a Y axis; the direction perpendicular to the surface of the rock sample is set as a Z axis; the rock sample is fixed on a trolley; the regulate tool rest is arranged on the four-rod guide mechanism; the X-direction moving worktable and the Y-direction moving worktable are arranged on a horizontal linear guide rail; the hob is arranged in a hob seat and is connected with the regulate tool rest through the three-direction pressure sensors; the rock sample is arranged and clamped on the X-direction moving worktable; and the three direction hydraulic cylinders are fixed with the fixed self-counterforce frame respectively. The device has the advantage of more precise function of simulating the process of breaking rocks through the hob, and is used for the synchronous detection of three-direction force, tool interval, penetration degree, wear degree, phase difference and other parameters of the hob in the states of linear paths and high-speed rotation of a plurality of hobs.

The invention provides a flexible screen based wearable monitoring device. The flexible screen based wearable monitoring device comprises a monitoring sensor module, a positioning module, a control module, a communication module and a display module, wherein the monitoring sensor module is used for collecting multi-item physical sign data and physical state data, the positioning module is used for positioning a current geographic position of a user, the control module is used for processing and analyzing the multi-item physical sign data, the physical state data and positioning data to obtain the current position of the user and sending a distress signal when judging the user suffering physical abnormities or having an accident, the communication module is used for forwarding the multi-item physical sign data, the physical state data, and the distress signal to an external communication device to inform contact persons of the user, and converting the distress signal to sound and text or image manners to inform peripheral persons, and the display module is connected with the control module. According to the flexible screen based wearable monitoring device, physical signs of the user can be real-timely monitored, further, evidence obtaining information can be recorded when an accident occurs, and the distress signal can be sent to the family of the user or a salvage mechanism when the user suffers physical abnormities or has an accident.

The invention discloses a non-invasive type urination alarming device based on bioelectrical impedance and a monitoring method. The method includes: a, acquiring human body electrical impedance data via a testing electrode worn at a position, corresponding to the bladder, of the lower portion of the lower abdomen of a patient and realizing filtering, noise reduction and analog to digital conversion; b, searching the maximum point of the data impedance amplitude in an acquisition process in real time; c, dividing a sampling data curve into sections according to sampling rate and physiological characteristics, carrying out fitting operation for sampling data of each section within set time, building a data multi-item type fitting model in a unified manner, and calculating the fitting coefficient of each section of the sampling curve after fitting; and d, building a fitting curve, calculating features of the fitting curve, finally judging whether the urine quantity of the bladder of the patient reaches an alarming point or not according to the features of the fitting curve and the change degree of the fitting coefficients, automatically alarming if the urine quantity of the bladder of the patient reaches the alarming point, and then prompting the patient to urinate in time. The non-invasive type urination alarming device is safer and more convenient in operation, good in anti-interference effect and capable of clearly and accurately displaying and measuring data.

The invention relates to a test paper tape which can be used in the gynecological multiprogramming dry-chemistry joint detection. The test paper tape provided by the utility model comprises a dry-chemistry multiprogramming detection test paper tape which consists of a plastic substrate tape and various solidified regent blocks, and sample diluent. The dry regent blocks include combinations formed by increasing or decreasing at least three or more regent blocks of a Ph test regent block, a lactic acid regent block, a hydrogen peroxide concentration regent block, a leukocyte esterase concentration regent block, a neuraminidase activity regent block, an amine test regent block, a proline aminopeptidase substrate reagent block, an oxidase substrate reagent block, a N-acetylamine hexosidase substrate reagent block, a trichomonas specific protease substrate hydrolysis reagent block. the gynecological multiprogramming dry-chemistry joint detection test paper test provided by the utility model can detect Ph, lactic acid, hydrogen peroxide, leukocyte esterase, neuraminidase, amine test, proline aminopeptidase, oxidase, N-acetylamine hexosidase and trichomonas specific protease which are contained in leucorrhea sample at the same time, and can accurately reflect the microorganism environment of a women reproductive tract, the cleanness of leucorrhea secretion and the conditions of Candida albicans, trichomonas, gonococcus and the pathogens of bacterial vaginosis, thereby making the gynecological trichomonas detection more comprehensive; besides, the test paper tape provided by the utility model can be used easily and conveniently, and results can be obtained quickly. If the test paper tape is used together with a gynecological dry-chemistry analyzer, the operation can become easier and the result can be obtained more quickly.

The invention provides a personalized recommendation system and a personalized recommendation method based on a deep neural network. The method includes: by fusing the candidate set generation moduleof the depth neural network, combining multi-user and multi-item features to conduct deep neural network learning to generate candidate sets, and based on a ranking set generation module fusing the deep neural network, combining the multi-user and multi-item features to conduct the depth neural network learning and scoring on the candidate set, to generate a better ranking set containing the personalized recommendation content, and finally, based on the collaborative filtering algorithm and the ranking set, carrying out further personalized recommendation, and obtaining the final recommendation list. Through the above way, the multi-user and multi-item are combined to improve the accuracy of a recommendation process, and accurate personalized recommendation is achieved in combination witha collaborative filtering algorithm. As a result, the personalized recommendation efficiency and user experience are improved.

The invention discloses a simple temperature calibrating method for a reflective polarization-maintaining optical fiber temperature sensor. Before calibrating the reflective polarization-maintaining optical fiber temperature sensor, a digital voltmeter is connected between an opto-electrical detector and a signal detecting circuit in series and a standard thermometer is arranged in the in-site environment; a collection card is adopted to realize information interaction between a computer and the digital voltmeter as well as the standard thermometer. The calibrated reflective polarization-maintaining optical fiber temperature sensor acquires a calibrated temperature nonlinear five times multi-item fitting model, namely T0=A0''+A1''*V1+A2''*V1<2>+A3''*V1<3>+A4''*V1<4>+A5''*V1<5>. The calibrating method of the invention not only maintains the calibrating precision of the prior art, but also reduces calibrating workload, namely, the whole sensor can be calibrated only by measuring temperature in a certain moment, therefore, the invention meets the requirement of long-term temperature monitoring for performance of the sensor under the complex condition of the construction site.

A system and method for scanning items for purchase in a retail environment is provided that has the ability to scan multiple items within its scan field of view simultaneously or nearly simultaneously in a multi-scanning type of configuration. In addition to the simultaneous scanning, the identity of each scanned item is discovered and then added to a running tally of items to be later purchased in a point of sale terminal.

The invention relates to a levamlodipine besylate tablet, a preparation process thereof and a control method for relevant materials. Each 1000 levamlodipine besylate tablets provided by the invention comprise the following compositions: 2.5g of levamlodipine besylate (measured in besylate), 30 to 50g of lactose (as a filler), 20 to 40g of beta-cyclodextrin (as an inclusion agent), 25 to 45g of microcrystalline cellulose (as a disintegrating agent), 5 to 15g of cross-linked polyvinylpyrrolidone (as a disintegrating agent), 1 to 2g of magnesium stearate (as lubricant), and 50 to 80g of 2.5% HPMC (hydroxypropyl methylcellulose) and 50% ethanol (as an adhesive). The levamlodipine besylate tablet provided by the invention has the advantages of making multi-item improvements on the properties of the levamlodipine besylate, increasing the solubility and apparent dissolution rate of the tablet, improving the stability of the tablet, reducing the excitability of the tablet, significantly reducing the limit of the relevant material, and having better clinical treatment effect, so that the blood pressure lowering of the patient with hypertension is more stable.

The invention relates to a user login validation method, device and system. In one embodiment, the method comprises the following steps: receiving login request information of the user; analyzing the login request information to obtain user identification, acquiring history login records of the user according to the user identification and analyzing the history login records so as to acquire multi-item login characteristic information of the user; performing a security level determining process so as to determine the security level of the current login request according to the multi-item login characteristic information; acquiring corresponding verification strategy according to the security level; and completing user login validation according to the corresponding verification strategy. The method, the device and the system can be used for improving the efficiency and the account security of the user login validation.

The invention belongs to the field of satellite navigation, and particularly relates to a method for determining track and a clock error of a navigation satellite. According to the method, the clock error of the satellite is expressed by a multi-item model, data observed at different times within the same time window is corresponding to a joint clock error parameter, so that inter-satellite one-way pseudo-range observation data and observation data of a ground monitoring state can be adjusted to determine the track and the clock error of the navigation satellite by employing a known method. Compared with a known method only employing ground monitoring station data to determine the track and clock error of the navigation satellite, the track and clock error determination accuracy of the navigation satellite can be remarkably improved under the condition of a regional monitoring state; and compared with a known method employing inter-satellite pseudo-range and observation quantity to determine an orbit and a method employing pseudo-range difference observation quantity to perform time synchronization, original one-way pseudo-range observation data is directly employed, epoch naturalization is not needed to be performed on inter-satellite pseudo-range observation data and so-called pseudo-range and / or pseudo-range difference observation quantity is not needed to be calculated, higher data utilization rate is achieved, and self-consistent track and clock error result can be obtained. By the method, the time delay deviation of inter-satellite link transceiving equipment relativeto hardware of navigation signal equipment also can be estimated.

The invention relates to a method for simultaneously completing gene locus, chromosome and linkage analysis. The method concretely and mainly comprises the following steps: collecting an embryo cell sample, amplifying a whole genome, amplifying a target gene mutation locus, establishing a whole genome and target gene mutation locus library, carrying out high flux sequencing, and carrying out data analysis. Multiple-item comprehensive detection is completed through one step by combining a whole genome amplification technology with the high flux sequencing, so respective detection of single-gene genetic disease mutation site, chromosome diseases and linkage analysis through using multiple methods and multiple steps is avoided. The method provided by the invention provides favorable conditions for a tiny amount of a sample, can be used for PGD detection to determine whether an embryo carries a pathogenic gene and chromosome copy number abnormity or not, is also suitable for genetic screening of embryos of recurrent abortion older women, and realizes multi-item detection of a plurality of single samples through one step. The method has the advantages of simple operation, short period and strong feasibility, so promotion and application of the method are facilitated.

The invention relates to a social network short text recommendation method based on a word meaning topic model, which comprises the following specific steps of fusing the word representation learningbased on context attention mechanism of word meaning and synonym information into social network short text recommendation so as to enrich word level characteristics of a text; fusing the dirichlet multi-item mixed distribution short text topic modeling based on word meaning representation into social network short text recommendation so as to enrich text level characteristics; modeling the potential interest degree and tendency degree of the user evolved along with time by combining the social network user relationship, the short text topic characteristics of the user-related text based on word meaning representation and the potential relationship characteristics between the user and the text; predicting the potential tendency of the user to the text through a parameter estimation method,and selecting the text with the maximum tendency to recommend to the user to realize short text recommendation. According to the method, the word meaning information is fused into the short text topic modeling and the social network short text recommendation task, so that the accuracy of the social network short text recommendation task is improved.

An electronic device with a display and, optionally, a touch-sensitive surface obtains a collection of media items. In some embodiments, the device determines one or more patterns in the collection based on a comparison between properties of sequentially adjacent items and divides the collection into multiple events that includes a plurality of multi-item events. In some embodiments, the device receives a first request to display a first portion of the collection organized in accordance with a first detailed-granularity level and, in response to the first request, displaying a first plurality of representations of the items. The device receives a second request to display a second portion of the collection organized in accordance with a respective overview-granularity level that corresponds to multiple detailed-granularity levels and, in response to the second request, displays a second plurality of representations of the items.

The invention relates to a traveling wave fault location method for a transmission line based on an electronic transformer, which is characterized by comprising the following steps: (a) adding a high-speed traveling wave signal data acquisition module 4 into the electronic transformer so as to meet the requirements for traveling wave fault location; (b) changing a signal input module of an original traveling wave fault location device into a digital signal input module which is applicable to the electronic transformer, wherein the digital signal input module mainly comprises a traveling wave signal merging unit 7, a traveling wave signal processing unit 8 and a traveling wave data transmission unit 9; and (c) carrying out communication between an optical digital signal of the electronic transformer and an optical fiber 5 of a traveling wave fault location device 6. The method provided by the invention has the advantages that by carrying out multi-item curve fitting on traveling wave fault signals, determining coefficients by using the least square method and reconstructing a dynamic process by using the obtained coefficients, the final data is the same as the traveling wave fault location data in conventional transformer substations, double-ended location and single-ended location analysis functions are implemented, and meanwhile, the location accuracy is ensured. The method provided by the invention is suitable for traveling wave fault location of intelligent transformer substations.

The invention discloses a multi-target panoramic infrared locking and tracking video system and comprises an intelligent omni directional automatic target searching dome camera which consists of a control platform, a main camera and a rotating mechanism. The invention is characterized in that a main infrared camera which is arranged under the main camera rotates with the main camera and is connected with a main system circuit in the control platform; two or a plurality of rows of infrared cameras with a plurality of ball covers are isometrically arranged on a shell ball cover at the upper part of the main camera; the infrared cameras with the ball covers are respectively connected with an image collection processor of a subsystem. The invention which is a system integrating light, machines, electricity and images implements the timely locking and tracking of infrared objects at any angle in the range of the whole classroom, which is convenient, flexible, efficient and intelligent and which solves the defects that ball cameras on the present market can not stably and continuously track appointed targets at any angle and that infrared targets can not be found and tracked efficiently and accurately because of smaller visual angle of a single infrared camera.

The invention provides a multi-item queue processing method, a server and a mobile terminal. The method comprises the following steps: receiving request information sent by a mobile terminal, wherein the request information carries the information about multiple items to be played by a user; inquiring a queuing time of each item according to the request information; determining a play sequence according to the queuing time of each item; and sending the play sequence to the mobile terminal, so that the mobile terminal displays the play sequence to the user. By adopting the multi-item queue processing method, server and mobile terminal, the user can play according to the play sequence recommended by the server, so that the queuing time of the user is effectively saved, the travel efficiency of the user is increased, and the user experience is improved.

The invention discloses an automatic dry fluorescence detector which comprises a sample inlet / outlet mechanism, a sampling mechanism, a rotating disc mechanism, a card feeding mechanism and a detection mechanism, wherein the sample inlet / outlet mechanism comprises a sample transmission device, a test-tube rack capable of replacing multiple sample test tubes, and a test-tube rack arrangement plate; the test-tube rack is mounted on the test-tube rack arrangement plate; the sampling mechanism comprises a sampling device, a liquid transfer device and a buffer area in which multiple buffer solution boxes are stored; the rotating disc mechanism comprises a rotating disc, and a rotating disc driving device driving the rotating disc to rotate; the card feeding mechanism comprises a card feeding device, a swing device and at least two card boxes; the detection mechanism comprises a detection head and is used for performing data acquisition on reagent cards at detection positions. According to the automatic dry fluorescence detector disclosed by the invention, lots of redundant structural design can be reduced, so that the cost is reduced, and the overall structure of a multi-item fluorescence detector is compact. The fluorescence detector disclosed by the invention can be applied to fluorescence detection.

The invention discloses a burst water pollution event monitoring and pre-warning system which comprises an automatic sampling system, a monitoring system, a data transmission system, an information management system and a water pollution forecasting model system, and is characterized in that the automatic sampling system is provided with a water sample three-grade desanding treatment device and adopts a section flowing and multi-point circulation sampling mode; the water pollution forecasting model system establishes a pollutant leakage simulation model and an eutrophication forecasting model; the information management system establishes a monitoring station and a control center station; the automatic sampling system, the monitoring system and the water pollution forecasting model system are respectively connected with a central control unit in the monitoring station of the information management system; and the automatic sampling system is connected with the monitoring system and the water pollution forecasting model system respectively. The burst water pollution event monitoring and pre-warning system breaks through the conventional key technology; a multi-item system comprising the automatic sampling system, the pollutant leakage simulation model, the eutrophication forecasting model and the like is researched and developed; and system integration is implemented.

The invention discloses a photovoltaic system generating efficiency comprehensive evaluation method based on a BP (back propagation) neural network. Weight assignment on various evaluation indexes is carried out by the BP neural network, influences of human factors on weight can be gradually eliminated in a training process, the weight is corrected, a photovoltaic power generating system is classified, the whole efficiency of the photovoltaic power generating system is evaluated, the running efficiency level of the photovoltaic system and the running efficiency level of key equipment of the photovoltaic system can be judged effectively, key factors which affect the efficiency level of the photovoltaic system and the efficiency level of the key equipment of the photovoltaic system are uncovered, a generating efficiency improvement strategy is discovered, and the generating efficiency of the photovoltaic system and the generating efficiency of the key equipment of the photovoltaic system are improved. By the method, reliable and accurate multi-item efficiency analysis and comprehensive evaluation analysis results are provided for an optional photovoltaic power station, a theoretical basis is provided for an operation and maintenance strategy of the photovoltaic power station, data are provided for design optimization of the photovoltaic power station, the generating efficiency of the photovoltaic power station is improved, the generating capacity is improved, the economic benefit is increased, and the application value is high.