2647results about How to "High practical value" patented technology

A moisture detection sensor that detects liquid, comprising: a resonant circuit composed of an antenna coil 53 and a capacitor C; and a noncontact tag composed of covering materials 51 and 57 that cover the resonant circuit, wherein the capacitor C has a pair of electrodes 52 and 56 and a dielectric 55 interposed between the electrodes 52 and 56, and the covering material 57 contains a through hole 57a that allows the liquid to infiltrate into the dielectric 55 from an outside.

A picture coding apparatus (300) is a picture coding apparatus that codes a difference between picture data (Img) representing an input picture and predictive picture data (Pred) representing a predictive picture for the input picture and generates coded picture data, and includes a picture decoding unit (104) for decoding coded picture data (Img) after the picture data (Img) is coded; inter pixel filters A and B (303 and 304) for performing inter pixel filter operation for decoded picture data (Recon) obtained by the picture decoding unit (104); switches (301 and 302) for selecting one of the inter pixel filters; and an inter picture predicting unit (108) for generating the predictive picture data (Pred) for the input picture data (Img) using filtered decoded picture data (FilteredImg1), as reference picture data (Ref), obtained by the selected inter pixel filter.

A power transmission control device controls a power transmission device in a contactless power transmission system that transmits power from the power transmission device to a power reception device through electromagnetically coupling a primary coil and a secondary coil. The power transmission control device includes a power transmission driver control section that controls drive timings of a plurality of switching elements of a power transmission driver that drives the primary coil, the power transmission driver control section variably controlling the power to be transmitted from the power transmission device to the power reception device.

The standard model creating apparatus which provides a high-precision standard model used for: pattern recognition such as speech recognition, character recognition, or image recognition using a probability model based on a hidden Markov model, Bayesian theory, or linear discrimination analysis; intention interpretation using a probability model such as a Bayesian net; data-mining performed using a probability model; and so forth, the apparatus comprising: a reference model preparing unit (102) operable to prepare at least one reference model; a reference model storing unit (103) operable to store the reference model (121) prepared by the reference model preparing unit (102); and a standard model creating unit (104) operable to create a standard model (122) by calculating statistics of the standard model so as to maximize or locally maximize the probability or likelihood with respect to the at least one reference model stored in the reference model storing unit (103).

A moving image coding method that can prevent playback discontinuity without an increase in processing load during playback is provided.The moving image coding method codes a video stream that includes a first moving image and a second moving image to be overlaid on the first moving image. The moving image coding method includes: a step of determining a continuous playback section that is a group of partial sections and is subject to continuous playback, in the video stream (S5301 to S5303); a step of coding the first and second moving images in the partial sections constituting the continuous playback section, under a constraint that prevents a threshold from being changed in the continuous playback section, the threshold being used for a transparency process by a luminance key in the overlaying (S5304); and a step of generating management information including flag information which indicates that the threshold is fixed in the continuous playback section (S5305).

The invention belongs to the surface patterning microstructure construction technique, which relates to a method for constructing a microstructure with anti-reflection performance on a foundation base by combining the self-assembly technique with the reactive ion beam etching technique. The method is to take monolayer polymeric micro-spheres, silicon dioxide micro-spheres and nano-particles of metal or metal oxides as a barrier layer and implement the RIE etching to the foundation base, then an approximate cone-shaped microstructure is constructed on the foundation base, and the structure has extreme high anti-reflection performance, thereby effectively improving the light energy utilization rate, reducing the interference of veiling glare in an optical system, increasing the optical transmittance, and further improving the sensitivity and stability of the optical system, and the method can be used for constructing large-area anti-reflection structures. The method of the invention has advantages of simple operation, changeable foundation base, strong applicability, good repeatability, low cost, high efficiency, adjustable anti-reflective applied wavelength and conformity to industrialized standards, and can be used for making photoelectric devices such as solar batteries and white light sensors.

An intra prediction apparatus includes: a candidate narrowing-down unit which narrows down, from a plurality of intra prediction directions, an intra prediction direction candidate which is applied to a block of multiple pixels that constitutes a video in accordance with a characteristic of the video; and an intra prediction execution unit which executes intra prediction in the intra prediction direction narrowed down by said candidate narrowing-down unit. Through this, computational load can be lightened while contributing to improvement in picture quality and encoding efficiency.

The invention discloses a gesture recognition method based on an acceleration sensor. The gesture recognition method based on an acceleration sensor comprises the following steps: automatically collecting gesture acceleration data, preprocessing, calculating the similarity of all gesture sample data so as to obtain a similarity matrix, extracting a gesture template, constructing a gesture dictionary by utilizing the gesture template, and carrying out sparse reconstruction and gesture classification on the gesture sample data to be recognized by adopting an MSAMP (modified sparsity algorithm adaptive matching pursuit) algorithm. According to the invention, the compressed sensing technique and a traditional DTW (dynamic time warping) algorithm are combined, and the adaptability of the gesture recognition to different gesture habits is improved, and by adopting multiple preprocessing methods, the practicability of the gesture recognition method is improved. Additionally, the invention also discloses an automatic collecting algorithm of the gesture acceleration data; the additional operation of traditional gesture collection is eliminated; the user experience is improved; according to the invention, a special sensor is not required, the gesture recognition method based on the acceleration sensor can be used for terminals carried with the acceleration sensor; the hardware adaptability is favorable, and the practicability of the recognition method is enhanced. The coordinate system is uniform, and can be adaptive to different multiple gesture habits.

The invention provides a virtual learning environment natural interaction method based on multimode emotion recognition. The method comprises the steps that expression information, posture information and voice information representing the learning state of a student are acquired, and multimode emotion features based on a color image, deep information, a voice signal and skeleton information are constructed; facial detection, preprocessing and feature extraction are performed on the color image and a depth image, and a support vector machine (SVM) and an AdaBoost method are combined to perform facial expression classification; preprocessing and emotion feature extraction are performed on voice emotion information, and a hidden Markov model is utilized to recognize a voice emotion; regularization processing is performed on the skeleton information to obtain human body posture representation vectors, and a multi-class support vector machine (SVM) is used for performing posture emotion classification; and a quadrature rule fusion algorithm is constructed for recognition results of the three emotions to perform fusion on a decision-making layer, and emotion performance such as the expression, voice and posture of a virtual intelligent body is generated according to the fusion result.

The invention discloses a MC / DC (Modified Condition Decision Coverage) test data automatic generation method based on a genetic algorithm, comprising the following steps of: statically analyzing a tested program to generate a control flow graph, a data flow graph, an abstract syntax tree and an abstract analysis tree; generating a MC / DC test case expected result set; executing code instrumentation on the tested program; constructing a fitness function; randomly generating the test data, and checking whether the test data satisfies an expected execution path; and obtaining proper test data through genetic operations, such as selection, crossing, mutation and the like of the genetic algorithm. In the method, for construction of the fitness function, optimization of approximate-level fitness evaluation by a method of obtaining a control node directly or indirectly influencing defective node traversing through data dependency is proposed according to the thought of a chaining method and based on the conventional fitness function. The method has greater practical value for testing a system with complex logical relations.

An encryption device, a decrypting device, a secret key generation device, a copyright protection system and a cipher communication device comprise: a CRL memory unit 111 that memorizes a CRL, a device key ring memory unit 112 that memorizes a peculiar device key KD A in every IC card 210a used in a decrypting device 200a, a content key memory unit 113 that memorizes a content key Kc which is a secret key for decrypting content, a hashing function processing unit 114 that calculates a hashing value of the CRL memorized in the CRL memory unit 111, an Ex-OR unit 115 that carries out an exclusive OR between the hashing value and the device key KD A memorized in the device key ring memory unit 112, and an Enc unit 116 that encrypts the content key Kc memorized in the content key memory unit 113 with an output value of an Ex-OR unit 115.

A lead-free free-cutting copper alloy having 69 to 79 percent, by weight, of copper; greater than 3 percent, by weight, of silicon; and a remaining percent, by weight, of zinc. The alloy preferable has greater than 3.0 percent and less than or equal to 4.0 percent, by weight, of silicon; and at least one element selected from among 0.02 to 0.4 percent, by weight, of bismuth, 0.02 to 0.4 percent, by weight, of tellurium, and 0.02 to 0.4 percent, by weight, of selenium. The alloy also preferable has at least one element selected from among 0.3 to 3.5 percent, by weight, of tin, 1.0 to 3.5 percent, by weight, of aluminum, and 0.02 to 0.25 percent, by weight, of phosphorus. In further embodiments, the alloy has at least one element selected from among 0.02 to 0.15 percent, by weight, of antimony, and 0.02 to 0.15 percent, by weight, of arsenic.

There is provided a harmonic structure acoustic signal detection device not depending on the level fluctuation of the input signal, having an excellent real time property and noise resistance. The device includes: an FFT unit (200) which performs FFT on an input signal and calculates a power spectrum component for each frame; a harmonic structure extraction unit (201) which leaves only a harmonic structure from the power spectrum component; a voiced feature evaluation unit (210) which evaluates correlation between the frames of harmonic structures extracted by the harmonic structure extraction unit (201), thereby evaluates whether or not the segment is a vowel segment, and extracts the voiced segment; and a speech segment determination unit (205) which determines a speech segment according to the continuity and durability of the output of the voiced feature evaluation unit (210).

The free-cutting copper alloy according to the present invention contains a greatly reduced amount of lead in comparison with conventional free-cutting copper alloys, but provides industrially satisfactory machinability. The free-cutting alloys comprise 71.5 to 78.5 percent, by weight, of copper, 2.0 to 4.5 percent, by weight, of silicon, 0.005 percent up to but less than 0.02, by weight, of lead, and the remaining percent, by weight, of zinc.

To provide a destination prediction apparatus which predicts a destination more accurately than before. A destination prediction apparatus which predicts a destination of a mobile object includes: a stay characteristic accumulating unit (103) in which stay characteristic information indicating a time period when the mobile object will likely stay at a predetermined point is accumulated; a travel time calculating unit (104) which calculates a travel time in the case where the mobile object heads from a current location obtained by a current point obtaining unit (101) to the point; and a destination predicting unit (106) which calculates an estimated arrival time based on a current time obtained by a current time obtaining unit (105) and the calculated travel time and predicts the point as a destination only when a condition that the calculated estimated arrival time and a time period indicated by the stay characteristic information is satisfied.

The invention discloses a Chinese network review emotion classification method based on an integrated study frame. According to the method, a part-of-speech combination mode, an order-preserving sub-matrix mode and a frequent word sequence mode are adopted as input characteristics, in the level of characteristics, factors of the influence of Chinese word order information, interval phrase characteristics and the sentence length are considered, and the characteristic vector sparsity problem is solved through semantic similarities; the problem that many review text characteristics exist is solved, the inter-base-classifier independence is guaranteed, and the classification performance of base classifiers is improved as much as possible; a base classifier algorithm constructed based on product attributes is adopted to comprehensively review emotion information of each attribute in a text, and then the sentence-level emotional tendency of reviews is judged, so that a final classification result is more accurate. The Chinese network review emotion classification method based on the integrated study frame is applicable to e-commerce network review emotion classification in various fields, can make a potential consumer know evaluation information of a commodity before purchase and can also make a merchant better sufficiently know the consumer's opinion, and therefore the service quality is improved.

The invention discloses a method and a system for discovering a network hot topic based on situation assessment. The method comprises the following steps of: acquiring internet forum data in real time; preprocessing corpus of the internet forum data and extracting a candidate word string; forming a characteristic set in a vector form to express each post based on the candidate word string; clustering the posts, acquiring the discovered hot topic according to the clustering result and quantizing; and performing situation assessment on the hot topic generated by clustering and correcting the discovered hot topic according to a situation assessment result. By comprehensively utilizing a topic discovering and tracking algorithm and a situation assessment idea, the organization form of algorithms of selectable and customable processing processes is realized to analyze text information and mine data so as to discover the hot topic. The experiment result verifies the validity and the accuracy of the method and the system and the method and the system have great practical value.

The invention discloses a six-dimensional force and torque sensor for measuring large force and small torque of a large mechanical arm. The six-dimensional force and torque sensor comprises a center shaft, a force sensitive element, a base and a strain gage component, wherein the force sensitive element is fixedly connected to the base; the center shaft penetrates through the force sensitive element and the base; the center shaft is in interference fit with the force sensitive element; the strain gage component is attached to the force sensitive element; the force sensitive element comprises four elastic main beams, four elastic auxiliary beams, a regularly octagonal center shaft platform, four fixing platforms, four main floating beams and four auxiliary floating beams; the strain gage component comprises a first strain gage group and a second strain gage group; two opposite elastic main beams in the four elastic main beams are respectively coated with the first strain gage group, and the other two elastic main beams are respectively coated with the second strain gage group; and the center shaft is in interference fit with a through hole of the center shaft platform. The six-dimensional force and torque sensor can improve the rigidity of measuring the force, and can also slightly improve the rigidity of measuring torque.

A motion vector coding unit 117 executes processing including a neighboring block specification step (S100) of specifying a neighboring block which is located in the neighborhood of a current block; a judgment step (Steps S102, S104) of judging whether or not the neighboring block has been coded using a motion vector of another block; a prediction step (S106, S108) of deriving a predictive motion vector of the current block using a motion vector calculated from the motion vector of the other block as a motion vector of the neighboring block; and a coding step (S110) of coding the motion vector of the current block using the predictive motion vector.

The invention discloses a layered oxide material, a preparation method, a pole piece, a secondary cell and an application. The material is represented as a general formula of Na<x>CuFe<j>Mn<k>M<y>O<2+beta>. M is an element for replacing a transition metal position through doping; the x, y, i, j, k, beta are mol percentages of corresponding elements; x, y, i, j, k, beta satisfy relationships of y+i+j+k=1 and x+my+2i+3j+4k=2(2+beta), wherein x is less than or equal to 0.8, and is more than or equal to 1, i is more than 0 and is less than or equal to 0.3, j is more than 0 and is less than or equal to 0.5, k is more than 0 and is less than or equal to 0.5, and beta is more than or equal to -0.02 and is less than or equal to 0.02; m is the valance of M; and the space group of the layered oxide material is R3m.

The invention discloses a selective radiation refrigeration coating and a composite material and application method thereof. The selective radiation refrigeration coating comprises a radiation refrigeration function layer with special structure particle filler. The radiation refrigeration function layer is used for reflecting ultraviolet light and / or visible light and / or near infrared light in sunlight and emitting heat through an atmosphere window in an infrared radiation mode, the radiation refrigeration function layer comprises a rodlike structure particle filler and radiation refrigerationfunction layer resin, and the particle filler is distributed in the radiation refrigeration function layer resin. According to the coating, the reflectivity for solar spectrum energy is larger than or equal to 80%, the reflectivity of the atmosphere window is larger than or equal to 80%, and the radiation refrigeration power being 100 W / m<2> or above can be supplied under the normal temperature.The coating is high in mechanical strength and good in weather resistance and has the quite high practical value.

The invention discloses a preparation method of high-yield biochar, which mainly comprises the following steps: (1) putting a collected biomass raw material into a catalyst solution, stirring and impregnating at normal temperature, and filtering to obtain the biomass raw material containing moisture and catalyst, the moisture weight percentage is 50-150%, and the catalyst weight content is 0.5-5%; and (2) heating the biomass raw material containing moisture and catalyst in an oxygen-free or limited-oxygen atmosphere to 100-180 DEG C at the rate of 0.5-2 DEG C / minute, keeping the temperature for 1-2 hours, heating to 240-300 DEG C at the rate of 0.5-3 DEG C / minute, keeping the temperature for 1-3 hours, heating to 500-900 DEG C at the rate of 10-50 DEG C / minute, keeping the temperature for 1-4 hours, and cooling to obtain the biochar, wherein the yield of the biochar is greater than 40 wt% of the biomass raw material. The method does not need drying in the biochar preparation process; the biomass raw material containing moisture and catalyst and the multi-step carbonization technique are utilized to achieve the goal of enhancing the biochar yield; and the biochar has the characteristics of energy saving, large specific area and high porosity, and can be widely used in the fields of water treatment, functional textiles and the like.

The invention relates to an interactive service for rapidly accessing to the mobile internet by a wireless internet access method and a two-dimensional bar code technology, image recognition technology and embedded software technology via a mobile terminal with camera and mobile communication network. It drives the camera of the mobile terminal to shoot the targets graphics such as bar codes or special graphics after the launch of the software. A string identifier such as numbers or characters is decoded out to be packed into data packets by the program of client according to a special agreement, and then the data packets are sent to the remote server through the mobile network. The remote server splits up the data packets according to a special agreement to achieve the described identifier, and then the server reads the database according to the identifier to achieve the corresponding information and enforceable operating instructions corresponding to the information, and then the server packs the information into a new data packet and sends it to the mobile terminal via mobile network. The program of client splits up the data packet according to a special agreement to achieve the information and enforceable operating instructions and handles the information according to the instructions when the mobile terminal receives the data packets.

The invention discloses a co-production system and a co-production method for biomass carbon, gas, wood tar and wood vinegar. The co-production system comprises a biomass dry distillation kettle, a high-temperature heating furnace, a water cooling device, a washing device, a liquid separation device, a gas storage tank, a water-ring vacuum pump, a compressor, wood tar storage tank and a wood vinegar storage tank, wherein the liquid separation device separates wood vinegar and wood tar in the mixed liquid obtained by gas-liquid separation of the water cooling device; the co-production method comprises the following steps: 1, charging; 2, high-temperature carbonization: water cooling and gas-liquid separation, washing, gas storage and separation and storage of liquid matters; and 3, obtaining of the biomass carbon after the high-temperature carbonization. The co-production system for the biomass carbon, gas, wood tar and wood vinegar has the advantages of reasonable design, convenient processing, simple mounting arrangement, easy operation and good effect; and the co-production method has the advantages of convenient realization, high yield, low cost, fast co-production and relatively high production purity and has obvious economic and social benefits and wide popularization and application prospect.

The invention discloses a method for realizing cross-management-domain identity and permission information sharing. Various authoritative institutions establish a management information sharing blockchain system together; each authoritative institution constructs a block chain node, participates in establishment of the block chain system, and backs up a block chain ledger; the management system of each authoritative institution is docked with the own block chain node, so that the block chain node is controlled to operate a block chain; in an individual cross-domain access process, the management systems of the authoritative institutions and the block chain nodes perform mutual negotiation; and the management systems of the authoritative institutions perform mutual negotiation. According to the method for realizing cross-management-domain identity and permission information sharing disclosed by the invention, the traditional point-to-point cross-domain management information sharing disadvantages are evaded; credible distributed storage and updating of identity permission management information and behaviour records can be realized; a unified query channel of individual identity permission and behaviour records is provided for the management system of each authoritative institution; and a support is formed for settlement among the management systems of the authoritative institutions.

The invention provides a microblog-oriented dynamic topic detecting and evolution tracking method and belongs to the technical field of intelligent information processing. The method includes the steps of 1, establishing a distributed crawler to acquire microblog data; 2, pre-processing the microblog data; 3, performing Chinese word segmentation to remove stop words, and acquiring a word set VOC; 4, subjecting the microblog data to LDA (latent Dirichlet allocation) clustering in each time interval so as to extract latent topics; 5, screening out microblog hot topics in each time interval; 6, subjecting the hot topics of a global time to hierarchical clustering to acquire inter-topic aggregation and differentiation relations; 7, visualizing a topic evolution process according to the inter-topic aggregation and differentiation relations. The method has the advantages such that topic word distribution of an event in different times and a fine-grained topic of a same topic in different times are mined under low time complexity, efficiency is high, and robustness is high; the method has greater practical value.