275 results about "Binding function" patented technology

The invention discloses an intelligent drug box system which comprises a drug box composed of a drug box body and a box cover. Two portions including a drug storage chamber and a control chamber are formed in the drug box body, at least one drug bin is arranged in the drug storage chamber, a detection device arranged in the drug storage chamber in a semi-inverted-conical manner is arranged at the bottom of each drug bin and used for detecting conditions of drugs in the drug box body, and a light-emitting device is arranged at the bottom of each drug bin. A controller, a control button, a sounding device, a vibrating device and a position balance sensor are arranged in the control chamber, a central control chip is integrated on the controller, and connection of the drug box and an intelligent terminal is realized through wireless data transmission. By the intelligent drug box system, a user can effectively know the conditions of the drugs in the drug box, a medicine-taking time can be easily set, the user can be accurately and effectively reminded, recording of medicine-taking states and replenishing of new drugs can be conveniently and timely realized, and the problem that the user forgets to carry the emergency drug box can be solved through a binding function.

A maximum likelihood detection (MLD) method is disclosed. Received data is processed to obtain preliminary parameters. An initial radius r is determined. r2 is multiplied by a corresponding scaling factor according to a partial Euclidean distance (PED) constraint function to determine the upper limit values of PED for each layer. It is examined whether a sub-lattice exceeds a search scope according to the upper limit values of PED for each layer to search a better solution by utilizing the preliminary parameters.

The invention discloses a deep learning-based clustering method. The method comprises the following steps: obtaining the initial network weight of a deep neural network; grouping samples randomly and mapping to a feature space; adding the target function of the original deep neural network into the in-class constraint function of a feature layer; updating the network weight of the deep neural network and calculating to obtain a new feature layer; distributing all the samples to the class group of the nearest clustering center and calculating a new clustering center; substituting the new clustering center for the clustering center of the in-class constraint function, and returning to the network weight updating step to perform iteration to obtain and output the final clustering classification result. According to the method, the samples are subjected to non-linear mapping of the deep neural network from the original data space, which is difficult to cluster, to obtain a height-classified feature for clustering; a better clustering effect can be achieved by continuously optimizing the network structure. The deep learning-based clustering method with lower memory consumption and higher clustering precision is superior to the conventional clustering algorithm.

The invention discloses a structure robustness optimization design method containing interval parameter uncertainty. The method comprises the following steps that a structure robustness optimization design model based on an internal is built; sample points are obtained by adopting a Latin hypercube sampling and co-simulating technique; a Kriging proxy model for predicting a target function and a constraint function is constructed; an interval robustness optimization design model is solved by adopting a double layer-nested genetic algorithm, left boundaries and right boundaries of the target function and the constraint function are calculated in the inner layer of the genetic algorithm, and in the outer layer of the genetic algorithm, total interval constraint violation degree vectors of all design vectors are calculated, and the feasibility of the total interval constraint violation degree vectors is judged; all the design vectors are subjected to advantage and disadvantage sorting according to a superior relationship criterion based on the interval constraint violation degree vectors; when a largest evolution algebra or convergence threshold value is achieved, the optimal solution of the robustness optimization design model is output, and the structure robustness optimization design containing interval parameter uncertainty is achieved.

Disclosed are a bearer binding method and system. The method comprises: a PCRF receiving type information, sent by an application detection function, of a detected application, determining a QoS policy applied on the application, and notifying a bearer binding function of the QoS policy; and the bearer binding function executing application-based bearer binding according to the QoS policy. Through the present invention, bearer binding can be performed on a non-deducible application, and the QoS of the non-deducible application can be ensured.

The invention discloses a buckling-restrained brace member consisting of four bound angle steels, which consists of a cross core member and a peripheral restrain member, wherein the cross core member is formed by welding three flat steel plates, and hard rubber is glued on the surface of the cross core member; the peripheral restrain member consists of four bound angle steels; the binding function is realized by connecting branch end parts of the angle steels through a high-strength bolt; and the high-strength bolt passes through bolt holes on the branch end parts of the angle steels, steel base plates arranged between the steel angels and a plurality of rubber gaskets to connect the four steel angels into a whole. The thickness of the steel base plates is greater than that of the plates of the cross core member, and a clearance of 1 to 2mm is kept between the surface of the angel steels and the surface of the cross core member under the pretightening force of the high-strength bolt by adjusting the thickness of the rubber gaskets, and is filled with the hard rubber glued on the surface of the cross core member so as to meet the requirement of expansion of the stressed cross core member.

A layout printability optimization method and system is presented that may be used for enhancing the manufacturability and yield of integrated circuits. The method is based on a mathematical framework, which describes and solves layout printability problems using nonlinear numerical optimization techniques. The means to define an optimization objective, constraint functions, compute function derivatives, and solve the resulting system, are also presented.

The invention discloses a high-speed press base reliability robust design method considering dynamic characteristics. The method comprises the following steps of establishing a reliability robust design model for the dynamic characteristics of a high-speed press base; sampling design variables and uncertain parameters by adopting a Latin hypercube sampling method and acquiring a response value of a sample point by a cooperation simulation technology; according to input-output information of the sample point, establishing an RBF (Radial Basis Function) neural network model for forecasting index values of the dynamic characteristics of the base in objective and constraint functions; carrying out iterative refinement by utilizing a double-layer nested genetic algorithm on the basis of interval constraint violation, a uniform interval dominance degree and an interval sequence vector so as to obtain the optimal solution of a base design scheme. The method carries out dynamic characteristic reliability robust design on the high-speed press base on the basis of the RBF neural network model according to the actual design requirements of the high-speed press base and can conveniently and rapidly obtain the design scheme of the high-speed press base which accords with the reliability requirement and has robust.

The invention discloses a wind power plant wind generation set layout site selection method. According to the method, maximum wind power plant equivalent power is used as an objective function, the total area of a wind power plant, the minimum distance between fans and other factors are used as constraint functions, geometry theories are used for determining an upstream area of the fans and calculating horizontal distances and offset distances between the fans, and a particle swarm optimization algorithm with constriction factors and mutagenic factors is used for seeking the optimal layout. The method has the advantages that the method relates to the joint distribution characteristic of wind, the wake effect between wind generation sets and the like, and overcomes the defects that position limitation exists and only single or partial wind directions are considered, the optimization efficiency of wind power plant layout is high, and beneficial reference can be provided for optimization of wind power plant layout.

The invention discloses a high-speed press sliding block dimension robust design method based on an interval. The method comprises the steps that a robust design model including design variables and interval uncertainty parameters is built according to the design needs of a high-speed press sliding block dimension, the response values of an objective function and a constraint function which correspond to sampling points are obtained, the function relationship between the design variables and the uncertainty parameters and a design target is determined according to sampling point information, a polynomial model of the objective function and the constraint function is built according to the least squares criterion, the matching precision of the polynomial model is detected, and iteration optimization is carried out by combining the polynomial model and a double nested genetic algorithm. According to the method, non-probability robustness design is carried out based on interval mathematics according to the design needs of the high-speed press sliding block dimension, and a robust and optimal high-speed press sliding block design scheme can be obtained conveniently.

The present invention provides a method for quickly binding an intelligent mobile terminal and an intelligent fixed terminal. The core technical solution is: a smart phone (smart mobile terminal) and a smart TV set-top box (smart fixed terminal) are connected through a network, and register accounts on the network server respectively And the corresponding two-dimensional code, the two-dimensional code contains account information. The mobile phone scans the QR code of the smart TV set-top box through the binding function, reads the account information of the smart TV set-top box after the scan is successful, and sends a binding request to the server. Then, the server transmits the binding request to the smart TV set-top box. After receiving the binding request, the TV set-top box prompts for selection, selects according to the prompt, and realizes the binding. The invention enables intelligent terminals registered with different accounts to share corresponding information, which is more convenient for users to use.

The invention discloses a structural performance optimum design method under non-probability conditions. The method comprises following steps: an interval optimum design model considering structural reliability requirements is established; sample points are obtained by means of Latin hypercube sampling and collaborative simulation; a Kriging surrogate model for predicting objective functions and constraint functions is established; the interval optimum design model is solved by means of a double-layer nested genetic algorithm, wherein in the inner layer of the genetic algorithm, the left and right boundary of the interval values of the objective functions and the constraint functions are calculated, in the outer layer of the genetic algorithm, the interval reliability and reliability violation degree of each constraint function according to an unified formula are calculated to obtain the total reliability violation degree of a design vector, and the feasibility is determined; superiority ordering is performed on all design vectors according to a superior relation criterion based on the total reliability violation degree; the optimal solution of the interval optimum design model is output when maximum evolution algebra or convergence threshold is reached. By means of the method, structural performance optimum design method under non-probability conditions can be realized.

The invention belongs to the field of data mining and discloses an intra-domain traffic flow pattern discovery method based on an improved similarity search technology in order to perform data mining on the intra-domain specific traffic flow pattern in a better way. The method is mainly based on the improved DTW (dynamic time warping) similarity search technology, and the calculation overhead of the DTW technology is reduced. The core of the improved DTW similarity search technology includes the combination of lower bound function technology and role exchange concept, also increases the calculation early termination threshold Epsilon on this basis and reduced the calculation of bound exceeding. According to the intra-domain traffic flow pattern discovery method based on improved similarity search technology, the calculation overhead of the DTW technology, the speed and accuracy rate of intra-domain specific traffic flow pattern are accordingly improved. The study and judgment of the current specific pattern state are finished through the information migration, so that the recurrence of significant threatening events in urban road safety is prevented.

A maximum likelihood detection (MLD) method is disclosed. Received data is processed to obtain preliminary parameters. An initial radius r is determined. r2 is multiplied by a corresponding scaling factor according to a partial Euclidean distance (PED) constraint function to determine the upper limit values of PED for each layer. It is examined whether a sub-lattice exceeds a search scope according to the upper limit values of PED for each layer to search a better solution by utilizing the preliminary parameters.

A method and system is disclosed for utilizing an ephemeral encryption or decryption agent so as to preclude access by the ephemeral encryption agent or decryption agent, respectively, to the information being ephemerally encrypted or decrypted. To preclude access by the ephemeral encryption agent, a blinding function is applied to the information prior to forwarding such information to the encryption agent for encryption. To preclude access to the information by the ephemeral decryption agent, a blinding function is applied to the encrypted information prior to forwarding the encrypted information to the decryption agent for decryption. Once the information has been returned, the information is unblinded, leaving an encrypted or decrypted message respectively.

Applicants have defined the pro-inflammatory domain of the Vascular Endothelial Growth Factor VEGF164(165) protein molecule using VEGF164 protein mutants in which the heparin binding domain is inactivated through alanine scanning, site directed mutagenesis. The invention provides novel VEGF variants having a modified heparin binding domain. The VEGF variants modified heparin binding function compared to native VEGF while maintaining receptor binding function. The invention provides compositions and methods for treating disorders relating to angiogenesis and inflammation.

The present invention relates to method for ensuring individual line subscriber accessing network. It contains pre-configuring DHCP option information to DHCP option supported DHCP server; user side transmitted DHCP message through access equipment and added with DHCP option information, then sent to DHCP server; DHCP server according to received DHCP message option information searching compatible configuring information, feeding back corresponded configuring information to access equipment through responses message, back filling said option information to responses message; access equipment learning user's configuring information through said responses message, and utilizing said configuring information to generate dynamical binding relation to user terminal. The present invention overcomes current technology used static IP address binding function problem such as management difficulty, large configuration work load, and IP address easy illegal use; capable of simplifying configuration, convenient management and increasing IP address security.

The invention provides a device binding method and device. The method comprises a step of obtaining the Bluetooth signal intensity of Bluetooth control equipment scanned by intelligent equipment in a preset range when an equipment binding function is opened, a step of determining the scanned first intelligent equipment whose Bluetooth signal intensity satisfies a preset condition, a step of sending a control command to the first intelligent equipment such that the intelligent equipment performs action of a set type, a step of sending a binding command to the first intelligent equipment when a condition that a user carries out a set first type operation is detected, wherein the binding command is used for indicating the binding relation between the intelligent equipment and the Bluetooth control equipment. Thus, the Bluetooth control equipment can be bound with the Bluetooth control equipment, the intelligent equipment is controlled through the Bluetooth control equipment, the control problem of multiple intelligent equipment can be solved with only one Bluetooth control equipment, in addition, the Bluetooth control equipment can be independent of the intelligent equipment, and thus the intelligent equipment can be controlled in a certain range far from the intelligent equipment.

The invention discloses a TTI (Transmission Time Interval) binding method for reducing business delaying in a TD-LTE (Time Division-Long Term Evolution) system. The TTI binding method comprises the following steps: utilizing a base station to determine whether a TTI binding function is configured to an edge user or not according to a continuously-received transmitting power margin reported by cell edge user UE (Unified Equipment) or detected uplink chain channel quality of the UE; determining an uplink dispatching result and a bound first physical uplink sharing channel (PUSCH) sending moment according to configuration of TDD (Time Division Duplex) uplink and downlink sub-frames, and a uplink authorization and data sending time relation; otherwise, carrying out data transmission according to normal dynamic or semi-static dispatching; continuously sending different RVs of the same TB to the base station by the cell edge UE with the binding function through a physical uplink sharing channel (PUSCH); after receiving the data, carrying out decoding processing on the data by the base station no matter whether the four RV exist in a caching region or not; judging whether the uplink data is successfully decoded at the base station side or not; if so, finishing the operation; otherwise, carrying out retransmission operation on the data. According to the TTI binding method, unnecessary RV waiting time can be greatly shortened so that the business transmission delaying of the TD-LTE system is reduced and the spectral efficiency and the system throughput are improved.

A transcoder that converts text-based computer software instructions or code intended for use by a presentation engine into a binary code adapted for use by a constrained function presentation engine.

The invention relates to an active power distribution network planning method based on network reconfiguration. The method comprises the steps of (1) establishing an active power distribution network planning model based on network reconfiguration, including an objective function and a constraint function, the objective function taking the minimum social total cost overall expense as an objective, and the constraint functions including an installation constraint, a network operation security constraint and an active management constraint; and (2) transforming the power network planning model into a second-order conic programming form and performing optimization solving to obtain a power network planning scheme. Compared with the prior art, the method of the invention regards the network reconfiguration as an extended plan with zero line investment cost and considers all the lines as to-be-built lines in the network reconfiguration process, and the network reconfiguration can bring a decrease in the overall cost without an increase the investment in the power distribution network.

Systems and methods may include identifying an input population of parent chromosome data structures, where each parent chromosome data structure provides a plurality of genes representative of variables in which associated values are permitted to evolve; selecting pairs of parent chromosome data structures from the input population of parent chromosome data structures; combining genes of each selected pair of parent chromosome data structures according to at least one evolutionary operator to generate a plurality of child chromosome data structures; evaluating the plurality of child chromosome data structures according to a plurality of constraint functions to generate a respective plurality of constraint function values for each child chromosome data structure, where the constraint functions define constraints on a feasible solution set; determining whether any of the plurality of child chromosome data structures are within the feasible solution set based upon the respective plurality of constraint violation function values.

The invention is applicable to the field of wearing equipment and particularly relates to an intelligent waistband. In the invention, the intelligent waistband is equipped with a tensioning force detection device for detecting the degree of tightness of the waistband is arranged on the intelligent waistband; the tensioning force detection device comprises a sensitive element capable of being transformed under a stress, resistance strain gages which are adhered on the sensitive element and transformed with the same, a processor and a display device; the resistance strain gages form a measuring bridge through the connection; the measuring bridge outputs a voltage reflecting the size of the stress; meanwhile, the intelligent waistband is equipped with a length detection device; the waist length of the waistband is detected by using a capacitive gating transducer, a photoelectric sensor or a Hall sensor; a processor calculates the calorie according to a variation of the voltage reflecting the size of the stress, the former waist size and the current waist size; the intelligent waistband detects a movement state according to an acceleration sensor and a gyro sensor, calculates the consumed calorie and outputs the data to the display device for prompting the users. The intelligent waistband not only has a waist binding function, but also has a health detection function, so that the increasing demands from the users can be met.

The invention provides a method for optimally designing the durability of a structure. The reliable service life is an object / a constraint in the method. The method mainly includes five steps of determining objective functions, constraint functions, design variables and random variables and constructing a mathematical model for optimally designing the durability of the structure; computing the reliable service life by a function measurement process; screening the design variables on the basis of the sensitivity of the reliable service life; equivalently converting the objective function / the constraint functions of the reliable service life into deterministic functions by a sequential approximation programming process; solving a model for optimizing the durability of the structure by a mixed cycle function measurement process. The method has the advantage that an optimal design scheme which meets the requirement on the longest reliable service life of the structure or the durability of the structure can be determined by means of an optimal design.

The invention provides a stretching polypropylene film and its preparation method. The film comprises a co-extrusion compounding base layer and a hot binding function layer, wherein the function layer comprises a component (A), or a component (B), or a mixture of the component (A) and the component (B); the component (A) is an ethylene copolymer having a polar group; the component (B) is selected from an ethylene-butylene copolymer, an ethylene-hexene copolymer, an ethylene-octene copolymer, and a mixture of the above copolymers; the ratio of the vertical elongation rate to the transverse elongation rate of the bidirectional stretching polypropylene film is less than 2; and the surface tension of the function layer of the film is in a range of 36-48dyne / cm. The invention also provides a use of the film in the preparation of film coated paper through the heating compounding with paper, and the film coated paper containing the film.

The invention relates to a health life behaviour management system and method based on a mobile terminal. The health life behaviour management system comprises wearable equipment and further comprises the mobile terminal, a data receiving server, a data management server, a data processing server, an information publishing server and a database, wherein the data receiving server, the data management server, the data processing server and the information publishing server are at a cloud side; a narrow-band wireless data link is established between the wearable equipment and the mobile terminal through short-distance wireless transmission; a broadband wireless data link is established between the mobile terminal and the data receiving server through long-distance wireless transmission; a bidirectional data link is established between the database and each server respectively; an original data transmission link is established between the data receiving server and the data processing server; a processing data transmission link is established between the data processing server and the information publishing server; and a control data transmission link is established between the data management server and the data receiving server. Numerous individual users can be served when the efficiency is high; and abundant functions, such as an online doctor consulting function, a relative and friend binding function, an emergency call function, a real-time locating and tracking function and a health product purchasing function, can be provided.

Systems and methods may include receiving a pair of parent chromosome data structures, where each parent chromosome data structure provides a plurality of genes representative of variables that are permitted to evolve; combining genes of the two parent chromosome data structures to generate at least one first child chromosome data structure; evaluating the at least one first child chromosome data structures according to a plurality of constraint functions to generate a respective plurality of constraint function values for each of the at least one first child chromosome data structure, where the constraint functions define constraints on a feasible solution set; determining whether any of the at least one first child chromosome data structure is within the feasible solution set.

The present invention discloses a sequence approximation optimization based thin sheet tension VBHF (variable blank-holder force) uncertainty design method. According to the method, common defects in the thin sheet tension and formation process are used as optimization targets, a VBHF is used as a design variable, and a friction coefficient is used as an uncertainty parameter. Firstly, the uncertainty parameter is described by using an interval; an uncertainty multiobjective optimization model related to the VBHF and the uncertainty parameter is established; response values of an objective function and a constraint function at an initial training sample point are obtained by using a finite element method; and on the basis, the VBHF approximation model is established by using an RBF neural network; the approximation model is combined with a genetic algorithm to carry out iteration optimization; then a sequence similarity optimization is adopted; according to an optimization result, a training sample point set and the VBHF approximation model are updated; and optimization is carried out again. By the method disclosed by the present invention, according to a design requirement of the VBHF, an optimal VBHF curve with robustness can be efficiently obtained.

The invention discloses a method for extracting a panorama road profile. The method includes the steps: (1) inputting an original road image, calculating grain direction information and a credibility function of each pixel of a panorama by a vanishing point estimation method based on a Gabor wavelet to obtain input information of a local adaptive soft voting algorithm of a vanishing point and the position of the vanishing point; (2) transmitting one group of road forecasting line segments from the vanishing point or a boundary point, calculating OCR (optical character recognition) characteristics and separation color areas to obtain the most suitable road boundary direction jointly judged by multi-characteristic information and constraint functions; (3) selecting a next boundary point as a starting point of each forecasting line segment, and repeating the second step until reaching an image boundary; (4) vertically moving road boundaries to form foreground lines and background lines, and taking the foreground lines and the background lines as inputs transmitted a watershed method for calculation to finally obtain the optimized panorama road profile.