522results about How to "Increase initiative" patented technology

The invention provides a five-degree of freedom exoskeleton-type upper limb recovery robot interactive recovery training control strategy. The strategy comprises two training patterns corresponding to the different recovery period of a patient, i.e. a passive interactive recovery training control strategy and an active-auxiliary interactive recovery training control strategy; during passive movement, a surface myoelectric signal of relevant muscles on a healthy upper limb of a patient is picked up and taken as the movement intention of the patient, thereby controlling a robot to drive a diseased side to realize movement passive training; during active movement, the movement intention of an upper limb of a human body is judged through acquiring in real time the arthrosis force moment generated by a diseased limb acting on the robot during movement, and an applied force is converted into the velocity quantity of the tail end of a mechanical arm by means of a proportional controller, thereby driving the robot to follow the intention so as to carry out recovery active-auxiliary training of the diseased limb. The five-degree of freedom exoskeleton-type upper limb recovery robot interactive recovery training control strategy can provide all-around recovery training movement for a clinic hemiplegia patient, thereby increasing the activeness of the patient in recovery training and the confidence of the patient in recovery; meanwhile, the recovery training control strategy also increases the attractiveness of a recovery process and promotes recovery efficacy.

The present invention relates to a smart agriculture monitoring system based on a Web of Things. The system includes a CPU, connected with a smart sensor, a smart adjusting and controlling device, a real-time image and video monitoring apparatus, a transmission apparatus, an alarm system and a terminal; the CPU is connected with the smart sensor, the smart adjusting and controlling device, the real-time image and video monitoring apparatus, the transmission apparatus, the alarm system and the terminal via the wireless network controlling system; and the smart agriculture monitoring system is powered via a solar energy powering apparatus. The Web of Things agriculture smart detection and control system can greatly increase manufacturing and managing efficiency, save manpower, and can conveniently provide a strong scientific data theoretical support to aspects such as various agricultural fields or researches; and the important function thereof is obvious in the highly automated and intelligentized society.

The present invention relates to a method capable of making financial service information undergo the process of safety authentication in the electronic business. It is characterized by that it utilizes personal identity information stored and transferred to bank payment system by third party server and combines said personal identity information with user handset short-mail authorization and acknowledgement to implement safety authentication of bank payment service. Besides, said invention also provides the concrete steps of said method.

The invention discloses a wearable hand function rehabilitation robot, which is mainly used for assisting the repeated movement function rehabilitation training of the patient with hand movement function disorder which is caused by stroke, brain trauma, spinal cord injury and peripheral nerve injury in communities or families. The robot system extracts the active movement will of the patient by detecting the multi-channel surface myoelectric signals of the affected hand and obtains the state of the affected limb by combining the data which is measured by an angle and force sensor to carry out the rehabilitation training of the affected hand by pneumatic muscle contraction assistance by using the intelligent control algorithm on the basis. The rehabilitation robot has multiple degrees of freedom, which can assist the affected hand to carry out multi-joint complex movement and inosculate the multi-sensor data information fusion during the rehabilitation process to be further used for the evaluation of rehabilitation effect, and the activity and the training interest of the patient can be improved by using the rehabilitation treatment virtual environment on a computer. The invention has the advantages of simple structure, flexible movement, safety and reliability, which can not only realize the rehabilitation training of the movement function of the affected hand, but can also be in line with the physiologic structure characteristics of human hands. The invention is more comfortable to wear.

The invention provides a cooperative type active defense system based on honey nets. The cooperative type active defense system comprises a data capture module, a data analysis module and a data control module and is characterized in that the data capture module, the data analysis module and the data control module are arranged at the center of one honey net and a plurality of sub nets in a distributed mode. The cooperative type active defense system depends on a honey net technology, a cooperative type active defense thought is adopted, attacker information captured by the different honey nets is shared in real time, active defensiveness of a network layer is achieved, defensive initiative and real-time performance are improved, and the cooperative type active defense system is suitable for large-scale enterprise networks. The cooperative type active defense system built through the method is high in defense rate, hit rate and robustness, and time delay from the time that attackers are firstly found to the time that all network deployment and control is achieved is greatly reduced.

Mutual universal network content keyword mutual system with true matching keyword and simply and rapidly adding keyword at real time. It relates to web page information grasp-organ, web page information analyzer to analyze the grasped page text, keyword index module to count matrix of web page and keyword. It also owns keyword demand module to find out keyword array which corresponds to the ID of web pages of keyword filtrating needed in the said web page, keyword matrix and JavaScript code interface. Then calculate the intersection about advertisement keyword bank to get a series of keywords and to classify and screen out the front keywords according to web page and advertisement keyword and advertisement keyword bank. Its AD Center module incepts HTTP demand sent by JavaScript code, calculates web pages ID corresponding URL, sends ID demand to keyword demand module, incepts the feedback keyword and the corresponding mutual advertisement information and adds them to the web page user ending by alternating with JavaScript code interface.

The invention discloses a video identification based system for extracting film images. The system is characterized by comprising the following steps of: firstly, converting video frequencies and audio frequencies by a pretreatment server into standard voices to be identified; secondly, converting the video frequencies by the pretreatment server into standard images to be identified; thirdly, converting video subtitles by the pretreatment server into standard binaryzation images to be identified; fourthly, carrying out feature extraction on the voices, the pictures in a picture sample database and the binaryzation images to be identified; and fifthly, carrying out feature extraction on the voices, images or characters of an identified video file by an index server, comparing the similarity of the obtained features of the voices, the images or the characters with that of feature values in the feature database which is obtained in the fourth step, and finally obtaining match results to be called by users. The system is characterized by accurately capturing the images, completely preventing the functions of identifying and extracting the film images from influencing the original webpage browsing speed and the like.

The invention relates to a guest-greeting robot. The guest-greeting robot includes: a user detection unit suitable for detecting users in a preset range; a detection unit suitable for controlling itself to turn to a detected target user, and moving to a position at a preset distance from the target user; and an intelligent question and answer unit suitable for performing question and answer interaction with the target user. The abovementioned scheme can improve the initiative of the guest-greeting robot to greet guests.

Provided are a stroke patient rehabilitation training system and method based on brain myoelectricity and a virtual scene. Control over the virtual rehabilitation scene is achieved through myoelectric signals, and rehabilitation training intensity is adjusted in a self-adaptation mode with a brain myoelectricity fatigue index combined. The design of the virtual rehabilitation scene is completed with the needs of stroke patient rehabilitation training and the advice of a rehabilitation physician combined, the brain fatigue index is provided, and quantitative evaluation on brain region fatigue is achieved. The surface myoelectric signal features under different motion modes of an arm are extracted, the motion intention of a patient is obtained, and control over the virtual rehabilitation scene is achieved. The muscle fatigue and brain fatigue index comprehensive features are extracted, the fatigue state of a rehabilitation patient is obtained, self-adaptation rehabilitation training scene adjusting is achieved, rehabilitation training intensity is relieved or enhanced, and secondary damage caused by improper training is avoided. The system and method have the advantages of being high in safety, high in intelligence and scientific in training, and damage cannot happen easily.

In agriculture when temperature and moisture deviate from the norm two things happen, plant growth suffers and disease flourishes. The Stoller model for plant growth states that proper hormone balance is necessary for optimum growth and performance. When growth conditions deviate from the norm, hormone balance is altered and plant growth suffers. This invention presents evidence to support this model and explain the relationship between hormone levels and plant growth. A clear understanding of this relationship will facilitate crop treatments aimed to eliminate these problems. Although we cannot control the climate, we can control the damage caused by environmental stresses by manipulating the levels and / or ratio of plant hormones in the different plant tissues. By adjusting the levels and / or ratios of hormones, particularly auxin and cytokinins in the root tissue, we can assist the plant in overcoming or compensating for this environmental stress.

Rigid containers are provided comprising oxygen scavenger compositions that produce only low levels of volatiles or by-products as a consequence of oxygen scavenging. In particular, a family of polymers containing selected cyclic olefinic pendent groups are used in the rigid containers to achieve oxygen scavenging that is associated with minimal or no organoleptic by-products after oxidation.

The invention discloses a circumferentially-distributed crawler wheel type pipeline detection robot capable of actively adapting to pipe diameter changes. The robot comprises a crawler wheel travelingmechanism and a detection mechanism connected to the front end of the crawler wheel traveling mechanism through a turning mechanism, the crawler wheel traveling mechanism comprises a cylindrical mainbody sleeve, multiple crawler wheels controlled by a crawler driving motor are evenly distributed on the periphery of the cylindrical main body sleeve, the crawler wheels are installed on a ball screw through a pressing adjusting crank sliding block mechanism, and the ball screw is fixed to the outer wall of the cylindrical main body sleeve. The detection mechanism comprises a cylindrical detection barrel, an ultrasonic probe and a wide-angle camera stretch out of a detection barrel front end cover of the cylindrical detection barrel, the front end of the ultrasonic probe is provided with anultrasonic reflector, an electrical control system is arranged inside the cylindrical main body sleeve, and the electrical control system is connected with a battery. The circumferentially-distributedcrawler wheel type pipeline detection robot is good in movement controllability, outstanding in climbing and obstacle crossing ability and capable of actively adapting to pipe diameter working conditions.

The invention discloses a medicinal porous titanium implant and a method for preparing the same. The porous titanium implant is prepared by a powder coinjection molding method; and a nano HA and TGF loaded sustained-release gelatin microsphere compound coating is deposited on the porous outer layer of the product. The outer layer of the implant has a communicated porous structure, the thickness of the porous layer is 0.4 to 1.1 millimeters, the porosity of the porous layer is 50 to 70 percent, and the aperture of the porous layer is 50 to 400 mum; the surface of the porous layer is deposited; and the binding strength of the outer layer and an inner core is 150 to 300MPa. Compared with the prior medicinal titanium implant material, the material of the medicinal porous titanium implant has higher mechanical strength, is in accordance with the mechanical performance of osseous tissue, avoids stress concentration and stress shielding, promotes stress transmission and growth of new bones, reduces time for osseointegration, and ensures the long-term stability of the implant. The method adopts once-for-all molding without post machining, thereby considerably reducing the cost.

The invention discloses a vehicle navigation system with the high safety and a guiding method thereof. The vehicle navigation system comprises a real-time data collection unit, a data processing unit, a navigation map storage unit and an output reminding unit; the data processing unit receives real-time data collected by the real-time data collection unit, the real-time data is matched with map data provided by the navigation map storage unit after being processed, and then guiding information is output by the output reminding unit. Accordingly, the driving safety is promoted through sensor recognition results, sensors comprise a high-precision map, a binocular camera and a radar, the characteristics of all the sensors are combined, targeted screening and filtering are conducted, and after the results are integrated, the safety guiding information is output.

The invention belongs to the technical field of enterprise management and provides a small and medium-sized enterprise supply chain financial platform on the basis of could computing. The small and medium-sized enterprise supply chain financial platform is characterized in that a cloud platform abandons complex authorization configuration and master data management and completes system initialization setting in a guide mode; the cloud platform dynamically integrates user identity authentication services of an ERP (Enterprise Resource Planning) system in a private cloud according to different identities of accessing users so as to control data access permissions; user functions of the cloud platform are flexibly customized as required by an enterprise user in the ERP system so as to adapt to the access requirements in different user environments; the small and medium-sized enterprise supply chain financial platform comprises a system application module, a small and medium-sized enterprise financing module, a credit risk control module, a small and medium-sized enterprise information management module, an receivable and payable management module, a general ledger management module and an asset management module. The small and medium-sized enterprise supply chain financial platform has the advantages that the small and medium-sized enterprise supply chain financial platform is simpler and more practical, is convenient to use, can select the functional modules by the self according to the requirements of enterprises, is low in cost and is suitable for small and medium-sized enterprises.

The invention discloses a method for protecting Internet user privacy through a third-party platform, and relates to an Internet user, a service party and a third-party privacy protection platform, wherein the Internet user can enjoy related service through the Internet, the service party is one or more service providers that Internet service involves, and the third-party privacy protection platform is a credible neutral institution that protects privacy safety of the Internet user. The user can obtain unique identity identification after being authenticated by the third-party privacy protection platform, personal privacy information is management through the platform, and privacy protection limits of authority can be set according to service situations and personal preference. When the user applies for a service, only identity identification needs to be provided to the service party, the third-party privacy protection platform verifies the identity of the user and feeds back a result, and if user information-related service is needed, the service party can submit an application to the third-party privacy protection platform, the platform processes the application according to user privacy limits of authority setting and related regulations and restraints.

A method for plasma treatment of anisotropically etched openings to improve a crack initiation and propagation resistance including providing a semiconductor wafer having a process surface including anisotropically etched openings extending at least partially through a dielectric insulating layer; plasma treating in at least one plasma treatment the process surface including the anisotropically etched openings to improve an adhesion of a subsequently deposited refractory metal adhesion / barrier layer thereover; and, blanket depositing at least one refractory metal adhesion / barrier layer to line the anisotropically etched openings.

The present invention provides a pollutant migration simulation-based water source site water quality safety early warning method. The method includes the following steps that: a water flow model is constructed; the target pollutant of a water source site is determined; the migration model of the target pollutant in a water containing layer is constructed according to the water flow model; the simulation time of the migration model is preset, the migration and distribution result of the target pollutant is obtained; and early warning judgment is performed according to the migration and distribution result and an early warning level. According to the pollutant migration simulation-based water source site water quality safety early warning method, based on the pollutant migration simulation of a monitoring result and water source hydrogeological parameters, a pollution source condition is simulated, and a characteristic pollutant distribution condition is obtained, for example, ammonia nitrogen of farmlands in the Li Min economic development zone in Harbin of Heilongjiang Province will not pose a threat to the safety of water quality in Limin water sources in 20 years, and the initiative of water quality safety early warning work in water source sites near rivers can be improved, and management on the water source sites and prejudgment on pollution situations can be facilitated.

The invention discloses a self-adaptation training control method of a parallel lower limb rehabilitation robot and the rehabilitation robot. The method comprises the steps that lower limb muscle activity and contractility state are estimated according to collected electromyographic signals and impedance model parameters of the robot are adjusted in a self-adaptation mode according to the lower limb muscle activity and contractility state; meanwhile, interaction acting force between a patient and the robot is obtained, and calculation and correction of the motion of the robot are achieved through a recognition result and an impedance model; a master control portion of the rehabilitation robot provides online trajectory planning and inverse kinematics, control instructions are sent to a controller and a driver of a corresponding joint, and self-adaptation training control over the robot is achieved. Intelligentization can be achieved in the rehabilitation process, and the fundamental practical significance and application value for improving the patient rehabilitation effect and improving the patient rehabilitation initiativeness and motivation are achieved.

The invention discloses a virtual and real combined robot-assisted finger motion function rehabilitation training system, which comprises an upper computer, a control card, a driver and a finger joint motion function rehabilitation robot, wherein the upper computer comprises an interactive graphic user interface and a rehabilitation training task simulation viewport and is in real-time communication with the control card through a network port; the control card forwards the command sent by the upper computer to driver, and transmits the signals acquired by an external sensor to the upper computer; the control card comprises a DA interface, an AD interface, an IO interface and a network communication interface; the driver performs torque control or position control on a motor of the robot according to the command information sent by a controller, and has the following functions of: switching a torque mode, a speed mode and two different modes in a mode of controlling a digital quantity switch; and the finger joint rehabilitation robot has a mechanical structure capable of realizing active and passive bidirectional drive and comprises an execution mechanism and a drive unit.

The invention relates to a hydrogen recovery method in the exhaust generated by producing polysilicon. The exhaust mainly comprises hydrogen, chlorine hydride, dichlorosilane, trichlorosilane and tetrachlorosilane. The method comprises the following steps: pressurizing and cooling the exhaust in order to turn trichlorosilane and tetrachlorosilane to liquid state while hydrogen, chlorine hydride and dichlorosilane still being gas state, so that the gas hydrogen, chlorine hydride and dichlorosilane can be separated from the liquid trichlorosilane and tetrachlorosilane by gas liquid separation; dissolving the gas chlorine hydride and dichlorosilane into the liquid tetrachlorosilane by passing gas hydrogen, chlorine hydride and dichlorosilane through the liquid tetrachlorosilane, so that separating the hydrogen from chlorine hydride and dichlorosilane. The invention recovers the hydrogen in the exhaust by dry treatment and the hydrogen can be reused in the polysilicon production, which makes good use of the material, reduces pollutants, settles the problem of environmental pollution, improves the product quality and reduces the cost.

The invention provides a device and method for displaying residual electric quantity of a battery, the device includes: a current integration unit for acquiring consumed electric quantity of the battery through current integration and creates residual quantity of the battery; a voltage measuring unit for measuring battery voltage to create current voltage of the battery; a display unit for displaying information of residual electric quantity and current voltage of the battery. The invention displays residual electric quantity and current voltage on a display synchronously, which can provides more comprehensive and accurate battery state information to users and increases initiative of users when using the battery power-supply equipment, utilizations of users are facilitated.

The invention discloses a Chinese detection method based on unsupervised learning and a deep learning network and a system thereof. In the invention, an unsupervised learning method is used to train a depth convolution nerve network, and then the network is used to classify each candidate character area in a nature image and finally text row polymerization is performed on the area which is classified as a character and a character area in the image is detected and acquired. In the invention, a super extraction capability of a deep learning network to an image characteristic is grasped and a high training capability of the unsupervised learning is used so as to realize character area positioning and segmentation aiming at a Chinese character characteristic training depth convolution nerve network. The method is simple and effective. Aiming at a character characteristic, a depth-convolution-nerve-network unsupervised learning method is established; and on an aspect of character detection, good pertinency is possessed so that high initiative and accuracy are achieved.

The invention discloses a marine environmental monitoring system based on unmanned ship formation motion. The system comprises multiple unmanned ships loaded with unmanned ship formation motion control systems, marine environmental monitoring sensing systems and wireless ZigBee communication systems and a remote marine environmental monitoring system. Each unmanned ship formation motion control system drives a corresponding unmanned ship motor in a set unmanned ship formation motion mode to form a shipping formation column and each unmanned ship moves according to the corresponding shipping track. Each marine environmental monitoring sensing system sends acquired marine environmental monitoring data to the remote marine environmental monitoring system in real time. Each wireless ZigBee communication system is connected with the corresponding unmanned ship and the remote marine environmental monitoring system. The remote marine environmental monitoring system forms a visual interface in real time and can remotely control each unmanned ship. By the adoption of the system, movable environmental monitoring, positioning and display comprehensive monitoring can be conducted according to the characteristics of abruptness, uncertainty and the like of the marine environment.

The invention provides a landslide geological disaster early warning pushing method. The cloud computing technology is utilized for analyzing weather data, position data, geological data, environmental data and the like, an AHP landslide geological risk evaluation system and a geological disaster rainfall induction model are set up, information about time and probability for possible landslide geological disaster occurrence is predicted, and prediction precision is improved; a landslide geological early warning active pushing and preventing emergency response model based on position data service is utilized for pushing early warning and emergency information to terminal equipment, and efficiency of geological disaster early warning and pushing and initiative of disaster response are effectively improved.

The invention provides a virtual sample deep learning-based robot target identification and pose reconstruction method. The method comprises the steps of extracting a region of an operation target in a camera image by adopting a CNN region detector, and preliminarily determining relative positions of the operation target and a robot end camera; estimating an observation angle deviation of a current view angle and an accurate pose solving optimal view angle of the computer end camera by adopting a CNN pose classifier; controlling a robot motion by adopting a multi-observation view angle correction method to enable the end camera to be transferred to the accurate pose solving optimal view angle; and by adopting virtual-real matching of contour features and pose inverse solving at the optimal view angle, realizing accurate calculation of a target pose. According to the method, the problem in massive sample demands of a deep convolutional neural network is solved, and the problems of feature shielding and matching difficulty caused by an excessively large contour matching view angle deviation are solved; and the activeness of robot vision perception and the algorithm flexibility of target pose reconstruction are improved.

The invention discloses a novel-standard sign online education platform. The online education platform realizes local or foreign dissemination of teaching information by the Internet, and comprises an interactive education server, a portal management center system and a demonstration center system, wherein the portal management center system and the demonstration center system are both connected with the interactive education server by the Internet; the Internet is also connected with a client terminal system; the client terminal system comprises a terminal server, a teacher terminal, student terminals and parent terminals, and is connected with the teacher terminal, the student terminals and the parent terminals respectively; the portal management center system comprises built-in functional modules for online providing related statistical analytical information and personalized information for a teacher, students and parents; and the demonstration center system controls the normal running of each piece of projection display equipment and demonstrates information shared by the education platform. The novel-class sign online education platform maximally utilizes high-quality educational resources, and effectively improves the teaching efficiency by an Internet technology.

The invention discloses a method and a system for topic keyword self-adaptive expansion on a social network platform. According to the method and the system for the topic keyword self-adaptive expansion on the social network platform, implicit keywords and keywords of relevant topics are extracted to build a keyword expansion vocabulary through the analysis of the correlation among social network information contents. The method includes the following steps: labeling a small amount of keywords to build a seed keyword vocabulary, collecting sample information to build a corpus through incremental self-feedback, obtaining word frequency through the sample information, obtaining relevant words which have high correlation with the seed keywords through the word frequency and multi-layer filtering algorithm, and selecting suitable words and adding the words to the keyword expansion vocabulary. The method and the system for the topic keyword self-adaptive expansion on the social network platform are different from a traditional webpage class keyword expansion mechanism, and are based on the characteristics of the social network information contents, and have higher flexibility and self-adaptivity to the selection of the keywords.