93results about How to "Accurate data analysis" patented technology

The invention discloses a sports training monitoring system. The sports training monitoring system comprises a video data collecting module, a vital sign collecting module, a motion state collecting module, a man-machine operating module, a data processing module, an action standard judging module, an instruction outputting module, a central processor, a three-dimensional model generating module and a physical state assessment module. According to the sports training monitoring system, video collecting is conducted by adopting panoramic video collecting, so that the video monitoring coverage is widened; the body and motion conditions of athletes are monitored through different sensors with Beidou modules, analogue simulation is conducted on monitored data through a three-dimensional model, and therefore a monitor can more comprehensively and accurately conduct monitoring and data analysis and assessment on the motion process; meanwhile, a physical condition assessment function, the standard action judging module and the instruction outputting module are achieved in the whole monitoring process, and therefore the training efficiency is greatly improved; in addition, three-dimensional putting of instructions can be conducted through the three-dimensional model generating module, and therefore convenience is brought to study of the athletes.

The invention provides a depression risk screening system and method based on a virtual reality scene electroencephalogram signal. Under the stimulation of a virtual reality scene, real-time acquisition, processing and analysis of data are carried out on the electroencephalogram signal by an electroencephalogram acquisition system, and finally, a depression risk is screened by a data mining method. The system provided by the invention comprises a virtual reality induction system, a electroencephalogram signal acquisition system and a data analysis system; the virtual reality induction system is used for establishing different virtual reality scenes; the electroencephalogram signal acquisition system is used for acquiring the electroencephalogram signal of a human brain, which is generated under the stimulation of the virtual reality scene and is continuously changed, and outputting the processed electroencephalogram signal and extracted real-time feature information; the data analysis system has a classification discrimination model trained by labeled healthy populations and depression risk populations, compares feature information required in a depression screening process with feature parameters of the classification discrimination model, and distinguishes and discriminates the healthy populations and the depression risk populations.

The invention discloses a massive web log data query and analysis method based on Hadoop and Hive by means of high reliability, high expansibility, high efficiency and high fault tolerance of a Hadoop and Hive distributed computing platform. The method includes the following steps that data of each data source are analyzed; the data are loaded into a database; HiveQL sentences are received; the received sentences are optimized to obtain a primary map result; the received sentences are converted into a Map Reduce task, the task is executed, and a query result is stored; the data are segmented; the data are analyzed and dug; the data are loaded into a Mysql database. According to massive web log data, precise query and data analysis are achieved, expansibility and effectiveness of storage, query and analysis of the massive data are achieved, and the problem that due to uneven job distribution caused by data skew, overall performance is reduced is avoided.

A method for evaluating the quality of data collection in a manufacturing environment is provided. Said data are intended to be analyzed by a process control system. The method comprising the following steps (A) collecting raw data according to a Data Collection plan specifying, and for each data item, a sampling time reference indicating at which time interval it is expected, and associating to each collected data item a timestamp indicating its actual collection time, (B) for at least a part of the raw data included inside a predetermined window, determining a Data Collection Quality Value (DCQV) by: (a) reading the timestamps; (b) computing at least one quality indicator value from the relationship between each timestamp and the corresponding time reference, wherein a shift represents a malfunction of the equipment or of the data collection system; (c) after steps (b) and (c) have been performed for all data items, computing a single data collection quality value (DCQV) indicator for said time window. Application to data qualification for analysis and equipment qualification e.g. in a semiconductor fab.

The invention discloses a crop growth monitoring platform based on the Internet of Things. The monitoring platform comprises N remote data acquiring sites, at least one remote data sending terminal, a remote data storage server, a crop growth monitoring center and a monitoring data browsing terminal, wherein N is the natural number greater than and equal to 1; each remote data acquiring site is connected with the remote data sending terminal in a wire or wireless way; the remote data sending terminal is used for uploading the environment information data of the crop growth acquired by the remote data acquiring site to the remote data storage server; the remote data storage server is respectively communicated with the crop growth monitoring center and the monitoring data browsing terminal; the monitoring platform is used for uploading and feeding back the environment information data by networking in a single-hop or multi-hop way.

A system for non-invasively monitoring a stress level of a subject is presented. A sensor is configured to monitor an attribute of the subject. A housing is configured to removably attach to the subject, the housing includes a processor in communication with the sensor, the processor is configured to retrieve data from the sensor, and use the data retrieved from the sensor to determine a stress level of the subject.

The invention provides a neuro feedback device, system and method, and relates to the technical field of neuro feedback. The neuro feedback device comprises a shell, a brain electricity acquiring module, a brain electricity signal processing module, a data transmitting module and a power supply module, wherein the brain electricity acquiring module is arranged on one side of the shell; the brain electricity signal processing module, the data transmitting module and the power supply module are arranged in the shell; the brain electricity acquiring module is connected with the brain electricity signal processing module; the brain electricity signal processing module is connected with the data transmitting module; and the brain electricity acquiring module, the brain electricity signal processing module and the data transmitting module are separately connected with the power supply module. The neuro feedback device is suitable for clinical treatment and personal families, a targeted training scheme can be provided for neurological defects of different diseases, the autognosis of a patient is improved in a treatment process, and the neuro feedback training effect can be improved effectively.

The invention discloses a real-time data warehouse platform, which comprises a business data acquisition system, a log data acquisition system and an analysis system. The business data acquisition system comprises a candu module; the candu module is used for synchronously analyzing an update log of business data and storing the analyzed data into a kudu storage module of an analysis system; the log data acquisition system is used for acquiring log data, calculating the log data, and storing a calculation result to the kudu storage module; the kudu storage module is used for carrying out data analysis in real time according to the stored analyzed data and the stored calculation result. According to the real-time data warehouse platform provided by the invention, the update log of business data distributed on each business system is collected in real time through the candu module, so that real-time synchronization of the business data is realized.

A method for glycan profiling by capillary electrophoresis (CE), and a CE system for glycan analysis (N-Glycan). The CE system uses integrated dual optical fibers for both radiation excitation and emission detection. The CE system is configured for performing a two-color detection for data analysis. A single radiation excitation source is used to excite two emission fluorophores or dyes in the sample solution to be analyzed. One emission dye is to tag the sample and the other dye is used to provide a reference marker (e.g., a Dextran Ladder) for the sample run. Two detectors (e.g., photomultipler tubes (PMTs)) are applied to simultaneously detect the fluorescent emissions from the dyes. The data collected by both detectors are correlated (e.g., synchronized, and/or super-positioned for analysis) for accurate data peak identification.

The invention aims to provide a database high-efficiency auditing method, system and equipment for a big data stream load, various network messages are quickly classified through a finite-state machine processing mechanism, so that the message preprocessing stream is simplified, and full utilization of system resources is realized; by integrating the optimized Hash algorithm, the annular queue andthe large page cache, the large data flow obtained by the network card can be dynamically distributed to a plurality of engines for processing, so that the data packet processing performance is greatly improved; control and data processing are separated, so that scheduling among multiple engine threads is reduced, and the processing efficiency is improved; regular matching, binary comparison, accurate data analysis and other methods are adopted, and auditing of mainstream databases at home and abroad and SSL encrypted databases is achieved.

The invention discloses a Wifi probe and a data balanced collection system and method. The data balanced collection method includes the steps that the Wifi probe sequentially scans Wifi channels in a detection area of the probe in a rotary mode to obtain broadcast data packages of devices in the Wifi channels; the Wifi probe uploads the obtained broadcast data packages to a server. By means of the rotary scanning mode of the Wifi channels, different scanning time is allocated to different Wifi channels according to a single factor or multiple factors so that the balance degree of data collection can be guaranteed to the largest extent; before the data is uploaded to the server, the data is preprocessed, invalid information in the data is removed, only valid information is kept, the data transmission magnitude can be greatly reduced, the transmission cost is reduced, and subsequent quick and accurate data analysis is benefited.

Systems and methods for confining droplets within a microfluidic channel as well as systems and methods for packing droplets are provided. More specifically, a system and method are provided for controlling the introduction and removal of oil into a microfluidic channel in order to control where drops are allowed to flow within that channel.

The invention discloses a monitoring device and a monitoring method for monitoring travelling status of an internal combustion locomotive. The monitoring device comprises a power supply module, a protection module, a sled-inspection module, a signal acquisition module, a signal modulating module, an ADC (analog to digital converter) module, a central control module and a communication module. The monitoring method for monitoring travelling status of the internal combustion locomotive monitors with the monitoring device, records each parameter and data in the travelling status of the internal combustion locomotive, analyzes in real time, early warms an adverse situation, and establishes a terminal database to realize the total trend predication of the locomotive and provide a maintenance reference. With the adoption of the monitoring device and the monitoring method provided by the invention, each travelling parameter is monitored in real time in the travelling process, recorded in real time and analyzed in real time, so as to judge the current travelling status of the locomotive, various adverse situations can be warned early, recorded automatically and then can be transmitted to the terminal database for further analysis, and the powerful terminal database is established to realize the total trend predication of the locomotive and provide the maintenance reference.

The invention relates to a copyright video whole-network viewing record system based on a block chain technology. The system comprises a plurality of video playing information generation plug-ins, a plurality of video playing information record devices and a plurality of video whole-network viewing record generation devices; video playing conditions of various terminals are accurately obtained through the video playing information generation plug-ins installed on a video playing node; furthermore, distributed accounting on video viewing records is carried out through the block chain technology; obtained data is accurate and reliable, and cannot be tampered; therefore, a public trusty viewing record bill is obtained; whole-network viewing big data is formed; precise data analysis can be provided for various mechanisms; simultaneously, viewing record fraud behaviours, such as imitative viewing, can be conveniently found through data comparison analysis; therefore, spiritual and culturalneeds of the masses can be easily known most precisely; and people-centred creative guidance can be well persisted.

The invention provides a smart insole for improving abnormal plantar pressure distribution caused by hallux valgus and a using method thereof. The smart insole comprises an insole body, and thin filmpressure sensors are arranged at a first metatarsal bone position, a second metatarsal bone position, a third metatarsal bone position, a forth metatarsal bone position and a fifth metatarsal bone position of the insole body respectively. The thin film pressure sensors are connected with a sensor data collection system through sensor connecting wires, and the sensor data collection system is connected with a wireless intelligent terminal through a wireless transmission device; the smart insole also comprises silica gel adhesive layers arranged above the thin film pressure sensors arranged at the first metatarsal bone position, the second metatarsal bone position, the third metatarsal bone position, the forth metatarsal bone position and the fifth metatarsal bone position of the insole body. The invention further provides a using method of the smart insole for improving abnormal plantar pressure distribution caused by the hallux valgus. According to the smart insole, by the combinationof the thin film pressure sensors, the silica gel adhesive layers and the wireless intelligent terminal, monitoring and improving of plantar pressure distribution are timely conducted; the smart insole has the advantages of being simple in structure, low in cost, good in comfort, convenient to adjust, high in correction accuracy and applicable to being popularizing and using in a wide range.

The invention discloses a vaccine quality dynamic monitoring platform which includes a data acquisition module, a data monitoring terminal and a customer platform. The data acquisition module is connected with the data monitoring terminal through a wireless communication manner. The customer platform is connected with the data monitoring terminal through a wireless communication manner. The vaccine quality dynamic monitoring platform not only realizes automatic monitoring of a vaccine storage temperature, but also can form a monitoring network, so that storage and use of vaccines are monitored effectively and alarm and rejection are carried out timely when a problem happens and thus the security of vaccine use is improved and loss is reduced to the largest degree.

The invention discloses a loess geomorphic ditch line extraction method based on a mean neighborhood, which comprises the following steps of firstly, taking the high-resolution grid DEM data of a research region as the basic data, and selecting a proper analysis window to carry out the mean neighborhood analysis according to the geomorphic type of the research region; subtracting the original DEMdata of the research area from a neighborhood analysis result, and extracting the planar data of a normal terrain area; and finally, editing and modifying the orthotopographic map spots, converting the orthotopographic map spots into the line data, and screening out the ditch lines according to the geographic meaning of the ditch lines to obtain a final ditch line extraction result. According to the method for extracting the loess landform ditch line based on the DEM data and the mean neighborhood, the more accurate and effective extraction of the loess landform ditch lines can be achieved, meanwhile, an existing ditch line extraction method system is supplemented, and the method has the guidance and practical significance for the loess plateau research in actual work.

A method of creating characteristic peak profiles of mass spectra and identification model for analyzing and identifying microorganisms are provided. MALDI-TOF MS data of microorganisms having the same feature are gathered. Discretization of the data is performed. Density-based clustering is used to find m/z values of spectral peaks with high probability of occurrence from the discretized data. A characteristic MS peak profile is created for every specific feature of microorganisms. Every such a characteristic profile forms a feature template. The mass spectrum of each known isolate is matched against all the feature templates and a number of matched vectors are obtained. The matched vectors are then concatenated into a single “integrated vector.” Then, a machine learning method and the integrated vectors generated from all known isolates are used to create a classification model for microorganism identification.

The invention relates to a multi-perception and interaction type oil depot safe operation training method. The method mainly solves the problems of the prior art that the sense of reality is poor, interactivity is poor and training quality is poor. Multi-perception and interaction type oil depot safe operation training is conducted on a training device with the multi-perception and interaction type oil depot safe operation training method. The training device comprises a movable LED display screen (1), a motion sensing camera (2), data gloves (3), a computer terminal (5) and sound equipment (4), wherein the movable LED display screen (1) is connected with the computer terminal (5), the motion sensing camera (2) comprises a field depth sensor used for acquiring the shape and position of a user and an RGB camera body and is connected with an information conversion unit, the information conversion unit is connected with a skeleton binding control unit, and the skeleton binding control unit is connected with the computer terminal (5). The method well solves the problem of the prior art and can be applied to oil depot safe operation training.

The invention relates to an indoor model test device for testing permeability of a geomembrane and an operation method, the indoor model test device includes a visual monitoring box system, a boundary condition regulation system, a geomembrane fixed adhesive system, a comprehensive measurement system and an information feedback analysis system. A visual monitoring box is used as a main body, toughened glass is used as a material, boundary conditions are controlled by a variable water level water box room, and the geomembrane fixed adhesive system comprising a geomembrane, a water permeation board, a cementing agent, a plugging layer and then like is used for bonding and fixing of the geomembrane. The boundary conditions of working states and paving conditions of the geomembrane can be studied by the indoor model test device for concrete design, the indoor model test device can be used for full-range and multi-level monitoring of pore water osmotic pressure, soil settlement, seepage flow, seepage time, permeability area, water level difference and seepage path length, permeability of a geotextile material can be evaluated and measured, compared with the previous, the indoor model test device is more simple, practical and comprehensive, and has obvious advantages.

The invention relates to the technical field of marketing, in particular to an intelligent marketing management system. The system includes conduction of marketing activities, marketing effect analysis, commodity introduction, online shopping guide, after-sales service and customer marketing. A business domain space needs to be created for the conduction of marketing activities, wherein the business domain space includes a user layer, an application layer and a data layer. The purpose of the invention is to solve the problems as follows: by using the existing marketing technology, the marketing cost of enterprises is always high, and enterprises cannot track the marketing effect; and the early preparation time for marketing activities is too long, it takes a long period of time from planning to implementation, and it is difficult to satisfy the market demand for immediate marketing scenes.

The invention provides a container paste, a mobile terminal, a data analysis system and a network sales platform. The container paste comprises a body area and at least one uncovering facilitating area. The uncovering facilitating area comprises, in the thickness direction of the uncovering facilitating area, a base material layer which has a front surface and a back surface; a first graphic and text information layer which is arranged on the front surface of the base material layer; and a second graphic and text information layer which is arranged on the back surface of the base material layer. The first graphic and text information layer comprises a first two-dimensional code so that the mobile terminal is enabled to be connected with the data analysis system of a commodity producer when the mobile terminal scans the first two-dimensional code. The second graphic and text information layer comprises a second two-dimensional code. The second two-dimensional code has uniqueness so that the mobile terminal is enabled to return commodity situation information to the data analysis system when the mobile terminal scans the second two-dimensional code. Accurate positioning and data analysis of retail terminals and consumers can be realized so as to realize interaction and increase user loyalty and finally assist the manufacturers to achieve the objectives of expanding sales and mastering consumer terminals.

The invention discloses a vehicle-mounted passenger flow analysis terminal. A video shooting device of the analysis terminal sends video information received by the video shooting device to a video analysis processing module after the video information is processed by a video divider connected with the video shooting device; the video analysis processing module can send the processed data information to remote equipment by connecting an external Ethernet interface chip to the Ethernet, and can also send the data information to the remote equipment by a general serial port chip simultaneously; and the video analysis processing module reads switching value input/output circuit state information by a signal switching device and controls the switch-on/off of the whole device. The terminal has the advantages of making the data analysis more accurate and real, improving the management level of the public transportation management department, reducing the complexity of the collection of the passenger flow data and having wider market prospect.