116results about How to "Conducive to reasonable distribution" patented technology

The invention discloses a motor imagery EEG pattern recognition method based on the time-frequency parameter optimization of an artificial bee colony. The method comprises the steps of conducting the leads selection based on the linear decision rule, selecting time-domain and frequency-domain optimal parameters based on the artificial bee colony algorithm, extracting features based on the common spacial pattern algorithm, and finally classifying features based on the linear discriminant analysis algorithm. The result of the method shows that, a lead channel of larger inter-class distinction degree can be effectively selected based on the lead selection algorithm. At the same time, based on the time-frequency parameter optimization algorithm of the artificial bee colony, a time window and a frequency band of larger inter-class distinction degree can be automatically selected, so that a better classification effect is obtained. The method is capable of effectively recognizing different motor imagery modes. Compared with the traditional parameter manual selection method and the frequency-domain parameter automatic selection algorithm, global optimal parameters can be automatically searched in both time domain and frequency domain at the same time based on the above method. Therefore, the feature extraction and feature classification effect for motor imagery EEG signals is improved.

The invention relates to an electropneumatic braking method and an electropneumatic braking system with fault complementation control on the basis of single-axis control, which is characterized in that two independent embedded type electropneumatic braking units are adopted, and each unit comprises a control circuit, a piezoelectric relay valve, a piezoelectric ventilation valve and a corresponding pressure sensor; the two units are managed by a communication and management circuit and arranged near a steering frame; and two axles on the same steering frame are controlled by the two embedded type electropneumatic braking units respectively. The method and the system can greatly reduce the volume of a cylinder and a pipeline by directly controlling a single braking cylinder, and have the advantages of rapid control response, high precision and good safety.

The invention discloses a long-term network traffic prediction method based on deep learning, and the method comprises the steps: obtaining a regional network traffic sequence, and carrying out the statistics of a traffic value used at each moment; preprocessing the traffic matrix sequence, and obtaining the input data of a Transform model; establishing a Transform model, and carrying out adaptive extraction of temporal correlation and spatial correlation on the two-dimensional matrix data by adopting the Transform model; and finally, carrying out model training by adopting a self-adaptive training mechanism. According to the method, the accuracy of multi-step long-term prediction of the network flow is improved, so that an operator can plan future network resources in advance, and the reasonable allocation of wireless resources is facilitated.

The invention relates to a voice data dynamic delay scheduling method and a base station. The dynamic delay scheduling method comprises the steps of judging whether a semi-persistent scheduling mode is opened or not and whether UE (user equipment) supports the semi-persistent scheduling mode or not; carrying out scheduling in the semi-persistent scheduling mode if the semi-persistent scheduling mode is opened and the UE supports the semi-persistent scheduling mode; judging whether a dynamic delay scheduling mode is opened or not if the semi-persistent scheduling mode is not opened or the UE does not support the semi-persistent scheduling mode, if yes, binding two continuous voice data packets to carry out scheduling in the dynamic delay scheduling mode; and if no, carrying out scheduling in a dynamic scheduling mode. Through adopting the dynamic delay scheduling method and the base station provided by the invention, half of the overhead of PDCCH (physical downlink control channel) resources is reduced. Meanwhile, a high modulation and coding level is kept, and the flexibility of voice service scheduling is improved, thereby being conducive to reasonable distribution of channel resources, and improving the user capacity of the base station.

The invention discloses a partitioning method for underground pipe network general survey in municipal administration, and the method comprises the following steps: (1) collecting pipe network data ofa region to be generally surveyed, obtaining pipe point data and pipe section data according to the pipe network information of the region to be generally surveyed, and constructing a topological structure diagram of a pipe network; (2) extracting a backbone network of the underground pipe network based on a cutting algorithm; (3) dividing the underground pipe network into a plurality of minimumpartition units by taking the length of the pipe network as a convergence condition based on a community discovery algorithm; (4) inputting the specified number of general survey partitions, and aggregating the minimum partition units of each pipe network by taking the length and the area of the minimum partition units as constraint conditions; (5) outputting a pipe network partition result, wherein the pipe network partition result comprises pipe network vector data and statistical information such as pipe network length and area of each partition. According to the method, the defects that inurban underground pipe network management general investigation work, a traditional regular grid partitioning method destroys pipe network continuity, general investigation workloads are not uniformand the like are overcome.

Provided is a five-in-one control drive system of a pure electric sport utility vehicle (SUV). The five-in-one control drive system of the pure electric SUV comprises a drive motor, a five-in-one controller, a battery management system (BMS), a decelerator, a differential mechanism, a vehicle-mounted power storage battery set, a vehicle-mounted low-voltage power supply and a fuse box. The drive system further comprises a vehicle chassis and an installation cabin which is arranged at the end, close to a front vehicle head, of the vehicle chassis. The space in the installation cabin is sequentially divided into an upper space body, a middle space body and a lower space body from top to bottom. Storage battery modules of the vehicle-mounted power storage battery set are installed on the vehicle chassis and in the middle space body of the installation cabin. The five-in-one controller, the BMS, the vehicle-mounted low-voltage power supply and the fuse box are installed in the upper space body of the installation cabin. The drive motor, the decelerator and the differential mechanism are installed in the lower space body of the installation cabin. The five-in-one control drive system is small in size, the compact and reasonable arrangement structure of the drive system facilitates reasonable distribution of front and back axle loads, and accordingly safety and comfort of the whole vehicle are improved.

The invention provides a fabricated wall surface keel structure capable of being leveled. The fabricated wall surface keel structure comprises a wallboard, a leveling base, a leveling part, a keel and a hanging part, wherein the leveling base is fixedly connected to a wall, the leveling part is connected to the leveling base in a threaded adjustment mode, the outer surface of the leveling part is an arc face, and clamping grooves are formed in the outer circumference of the leveling part in the radial direction of the leveling part, clamping hooks are arranged at the upper end and the lower end of the keel in the width direction, the clamping hooks are in clamped connection with the clamping grooves, and the hanging part is fixedly arranged on the wallboard and is in hanging connection with the leveling part and the keel. Compared with the prior art, the fabricated wall surface keel structure has the following advantages that the keel and a wall are movably connected, the keel does not need to be demounted when being leveled, the leveling part only needs to be rotated to change the front position and the rear position of the leveling part, mounting is convenient, and leveling is more convenient and rapider.

The invention provides a data configuring and controlling method for optical network units. Each of one storage unit and four task threads of an optical line terminal performs the own functions, so that the data configuring operations of the various optical network units in a network can be processed in parallel, and then the occupation of the task system resource of the optical line terminal caused by excessive task threads is substantially reduced; in addition, each optical network unit receives an OAM (operation administration and maintenance) configuration data message every other one polling cycle T0 under the condition that the optical network unit is smoothly communicated with the optical line terminal, so that a plurality of optical network units are configured in parallel, the problem that the overall consumed time for downloading the data configuration of the optical network units is too long because of excessive optical network units registered at the same time in the network is avoided, the reliability of data configuration is guaranteed through a retransmission mechanism, the expanded OAM configuration mode defined in China Telecom's technical requirements for EPON equipment and technology becomes compatible, and a higher execution efficiency of data configuration of the optical network units is guaranteed.

The invention relates to a kitchen monitoring management system for a catering enterprise, and the system consists of monitoring terminals, a monitoring platform, clients, a laser sensor, a video monitor and kitchen equipment. The system is provided with a monitoring platform, and the monitoring platform is connected with many monitoring terminals and clients through a network, so as to carry outthe information processing and transmission. The monitoring terminal is connected with the laser sensor, the video monitor and the kitchen equipment, wherein the laser sensor, the video monitor and the kitchen equipment are installed in the kitchen. The clients comprise a computer client and a cellphone client, and have different authority levels. The related information of the monitoring terminals of a monitored kitchen correlated with one authority level can be checked according to the authority of the client, and the authority level of the client can be set according to the management structure of the catering enterprise. The job position of a security and protection manager determines the level of the client that the security and protection manager can log in. The system can achieve the centralized control of a large number of kitchens, facilitates the leveling management, achieves the detection of gas leakage, and achieves the fire-fighting and early-warning purposes.

The present invention provides an intelligent terminal and a management method for a container system thereof. The method comprises: after a slave management service CSS module configured in the container system receives a switching request input by a user, sending the switching request to a container management service CMS module configured in a host system; after the CMS module receives the switching request send by the CSS module, deciding to perform a switching operation, according to operating state information of the container system to which the CSS module belongs and occupation information of system resources, and then sending a foreground and background transformation signal; and after the CSS module receives the foreground and background transformation signal, adjusting a state of a process in the container system to which the CSS module belongs. By using the intelligent terminal and the management method for the container system thereof, which are provided by the present invention, management of a foreground and a background of the container system can be provided, thereby enhancing the utilization rate of the system resources, and improving functionality, flexibility and security of the container system management.

The invention provides a recurrence predicting reagent kit for liver cancer liver transplantation postoperation, which is characterized in that the reagent kit uses two SNPrs rs894151 and rs12438080 in a plasma circulation DNA as detection sites, uses upstream sequences and downstream sequences of the rs894151 and the rs12438080 as amplimers, and uses fluorescent probes as genotyping probes. The invention can evaluate the recurrence risk of the liver transplantation operation carried out by liver cancer patients before the operation, and in addition, the invention uses peripheral blood as detection samples, and has the characteristics of high speed, accuracy, convenience, simplicity, easy popularization and application and the like. The invention can be used for sieving the clinical liver cancer liver transplantation patients, can guide the auxiliary treatment after the liver cancer liver transplantation operation, and can reduce the postoperation recurrence rate of high-risk patients, so the prognosis of the liver cancer liver transplantation is improved, and the limited donor livers can be effectively utilized. The reagent kit has important clinical significance to the prognosis judgment on patients exceeding the Milan standard.

The invention relates to a method for automatically sensing the experience quality of a China user on a satellite constellation, which belongs to the technical field of wireless communication and comprises the following steps of: dividing the land area of China into a plurality of regions by using STK, and acquiring a region coverage performance parameter V (i) by using the STK; determining whether the satellite covers the target region or not, and if so, obtaining the Internet of Things equipment density of each region; calculating a communication blocking rate B (i) and communication qualityQ (i); calculating the required capacity C (i) of each region; calculating the communication cost and income performance W (i) of each region; automatically generating experience quality performanceindexes in each grid region of China by using a weighted overall evaluation formula; and taking the QoE factors as optimization target indexes, establishing an experience quality evaluation model, andsolving the optimal experience quality E through a multi-layer tabu search algorithm MTLS. According to the invention, the experience degree of using satellite communication by a user is improved, and the quantitative evaluation of the experience quality is realized.

The invention discloses a regional network flow prediction method based on deep learning, and the method comprises the steps: 1, obtaining a regional network flow sequence, and carrying out the statistics of a flow value of the regional network flow sequence at each moment; 2, extracting a flow matrix sequence with a corresponding characteristic as the input of a deep learning prediction model according to the spatial correlation and time correlation of the regional flow sequence, wherein the time correlation comprises compactness, periodicity and tendency; 3, for the three input flow matrix sequences obtained in the step 2, extracting time and space correlation by using a 3D convolutional neural network and ConvLSTM respectively; and 4, fusing the features, extracted from 3D convolution and ConvLSTM, of the three flow matrix sequences, and carrying out the final flow prediction based on an attention mechanism. According to the method, the periodic change characteristic of the flow sequence is covered under the limited input length through the time sequence extraction method, the regional network flow value at the next moment is predicted with high accuracy, reasonable distributionof wireless resources is facilitated, and the resource utilization rate is increased.

The invention discloses a power control and channel allocation method based on energy collection in a 5G D2D system, and the method comprises the steps: firstly, constructing an interference weight graph according to the channel gain ratio of D2D users, and clustering the D2D users according to the interference weight graph so as to minimize the common channel interference of the D2D users in thesame cluster; Secondly, modeling the D2D users in the same cluster as a non-cooperative game, deducing an optimal expression of D2D user transmission power and acquisition time by constructing a Lagrangian function and utilizing a KKT condition, and allocating the optimal transmission power and acquisition time to the D2D users by a joint iterative optimization method; And finally, according to the capacity of each D2D cluster when each cellular user channel resource is multiplexed, using a KM algorithm to distribute channels for the D2D cluster with the purpose of maximizing the total capacity of the D2D users. The limitation of common channel interference and collected energy is considered at the same time, energy distribution is more optimized and reasonable, the minimum signal to interference plus noise ratio requirement of cellular users is considered when power is distributed to the cellular users, and power consumption is effectively reduced.

The invention relates to a long-focus biprism periscopic lens, which comprises an optical reflection element I, a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens andan optical reflection element II from the object side to the image side. The optical reflection element I bends an optical path, and has an angle of 45 degrees between the reflection surface and theoptical axis. The first lens has a positive refractive power, and the object side is concave at the optical axis. The second lens has a positive refractive power and a meniscus shape, the image side is a convexity. The third lens has a negative refractive power, the object side is a convexity at the optical axis, and the image side is a concavity. The fourth lens has a positive refractive power, the object side is a convexity. The fifth lens has a positive refractive power, the image side is a concavity at the optical axis. The sixth lens has a positive refractive power, and has an inflectionpoint in the image side. The optical reflection element II bends the optical path, and has an angle of 45 degrees between the reflection surface and the optical axis. The long-focus biprism periscopiclens realizes a periscope function and satisfies the configuration of the ultra-thin thickness of a mobile phone by changing the direction of the optical axis, and realizes the purpose of not occupying the screen area of the mobile phone by matching a mechanical telescopic mechanism on the mobile phone.

The invention discloses a method for automatically distributing accuracy indexes of a ballistic missile inertia measurement system. The method includes solving drop point accuracy values and drop point deviation proportions of error coefficients according to set environment function values and initial values of the inertia measurement system error coefficients, and comparing the calculated drop point accuracy values with drop point accuracy threshold values; if the calculated drop point accuracy values are smaller than the set threshold values, not needing to adjust; if not, searching to-be-adjusted error coefficients according to the drop point deviation proportions, performing proportion adjustment, solving the drop point accuracy values and the drop point deviation proportions of the error coefficients after adjustment, and repeating the steps to finally acquire inertia measurement error coefficients meeting requirements of the drop point accuracy threshold values. Compared with other inertia measurement system accuracy index methods, the method has the advantages that automatic distribution of the accuracy indexes of the inertia measurement system and optimal adjustment of the error coefficients are achieved.

The invention provides an access configuration method and an information providing method and device, and belongs to the technical field of communication. The method comprises the following steps: a gateway receives an access request, wherein the access request carries identification information and authentication type information of customer premises equipment; the gateway sends an information acquisition request to a controller, wherein the information acquisition request is used for indicating the controller to return configuration information; the gateway receives the configuration information sent by the controller; and the gateway carries out access configuration on the customer premises equipment according to the configuration information. According to the invention, when the gateway receives the access request of the customer premises equipment, the configuration information with timeliness is obtained from the controller in real time, and the access configuration is carried out on the customer premises equipment, so that an access failure phenomenon possibly caused by the fact that the configuration information of the customer premises equipment in the gateway cannot be updated in real time can be effectively avoided.

The invention discloses a regional garbage management system. The system at least comprises an information exchange central system, an interaction platform and a plurality of intelligent garbage cansarranged in regions, wherein the intelligent garbage cans are connected to the information exchange central system in a wireless manner for acquiring garbage data information and sending the data to the information exchange central system; the information exchange central system is connected to the interaction platform for uploading the acquired data to the interaction platform; and the interaction platform can display and analyze the garbage contents of the garbage cans in real time and provide the shortest garbage cleaning line in demand. Work staff clean garbage in corresponding regions efficiently and conveniently, the labor cost is saved and the environmental cleaning degree is improved.

The invention discloses a trauma data accurate statistical analysis system and an application method thereof. The trauma data accurate statistical analysis system comprises mobile medical detection equipment, a main control module, a trauma emergency treatment information system and a trauma emergency treatment center, wherein the main control module is respectively connected with the mobile medical detection equipment and the trauma emergency treatment information system for interactive communication, and the trauma emergency treatment center is connected with the trauma emergency treatment information system for interactive communication and performs statistical analysis processing on trauma data. According to the invention, acquisition and processing of trauma site medical record related information are realized, then the data is transmitted to a trauma emergency treatment information system, the trauma center performs statistical analysis processing on the received data through a trauma statistical analysis module to obtain a wound condition evaluation and decision support result, and finally intelligent, high-performance and normalized trauma emergency treatment is formed.

The invention relates to the field of optics, in particular to a zoom lens and an imaging device.The zoom lens sequentially comprises a first lens group with positive focal power, a second lens group with negative focal power, a third lens group with negative focal power, a diaphragm and a fourth lens group with positive focal power from the object plane side to the image plane side; the second lens group and the third lens group move in the main optical axis direction of the zoom lens, and the moving directions of the second lens group and the third lens group are the same; the zoom lens satisfies the following conditional expressions: TTL < 100 mm; FNO is less than 1.8; wherein TTL is the total optical length of the zoom lens, and FNO is the number of apertures of the zoom lens. According to the technical scheme, the zoom lens with a small size is realized, meanwhile, a large aperture number can be realized, the shooting effect of the zoom lens in a low-illumination environment is improved, and the user experience is improved.

The invention discloses a material storage management method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of receiving a material donation request, obtaining donation data in the request, and executing warehousing publicity to trigger a warehousing process; extracting donator information and logistics information in the donation data to update a preset material information table; identifying article information in the donation data, adding the article information to a preset warehousing article information table, determining a warehousing warehouse to submit a warehousing list, and generating a receiving function to execute donation warehousing information publication after a warehousing completion instruction is obtained, wherein the preset material information table is updated or added to the preset warehousing article information table by calling the preset interface of the database server. Therefore, the implementation mode of the invention can solve the problems of low efficiency and serious resource waste of existing massive material donation management.

The invention discloses a remote material drawing method, and belongs to the medical field. The method comprises the steps that S1, an operating terminal enables the case information correlated with amaterial drawing object to be uploaded to a consultation platform; S2, the consultation platform transmits the case information to a diagnosis terminal; S3, the diagnosis terminal generates an operation instruction according to the case information, and uploads the operation instruction to the consultation platform; S4, the consultation platform transmits the operation instruction to the operating terminal; S5, the operating terminal controls a material drawing module to obtain a slice image of the material drawing object according to the operation instruction, and uploads the slice image tothe consultation platform. The beneficial effects of the invention are that the method can achieve the obtaining of the slice image timely and simply when a digital pathological section scanner has afault in operation.

The invention provides a power system communication mode bill compilation method based on multi-scheduling constraints. The problem that the manual power communication bill compilation mode is low in working efficiency and poor in resource utilization rate is solved. According to the scheme, the power system communication mode bill compilation method comprises the following steps of manually acquiring basic data required for communication mode bill compilation by using a server; automatically compiling a basic information table of a mode bill according to inputted basic information; setting multi-scheduling constraints of communication mode routing according to business features and scheduling demand of a required communication mode; performing search analyzing on a network topology by using an analyzing server according to the multi-scheduling constraints; generating communication mode routing meeting requirements on the multi-scheduling constraints; automatically forming a business circuit executing table; compiling and forming a communication mode bill by using the analyzing server; and changing state information of communication resources according to mode routing data. The power system communication mode bill compilation method is mainly used for compiling a power system communication mode, is easy to operate and use and has high practicality in a power system.

The invention discloses an intelligent dustbin. The intelligent dustbin at least comprises a dustbin simple body, a lid and an intelligent dustbin control circuit. The intelligent dustbin control circuit further comprises a microcontroller, an ultrasonic ranging module, a gravity sensor, an LORA wireless communication module and a power source. The microcontroller is connected with the ultrasonicranging module, the gravity sensor, the LORA wireless communication module and the power source and used for controlling the ultrasonic ranging module, the gravity sensor and the LORA wireless communication module to work. The ultrasonic ranging module is arranged on the lower side face of the lid, electrically connected with the microcontroller and used for detecting the height of waste in the dustbin simple body. The gravity sensor is arranged on the upper side of the bottom of the dustbin body, electrically connected with the microcontroller and used for detecting the mass of the waste in the dustbin. By the adoption of the intelligent dustbin, waste data can be automatically collected and uploaded, so that the labor cost is reduced, and the clean degree of the environment is improved.

The invention discloses a referral index of critically ill pregnant and lying-in women, which includes parameter acquisition, a data evaluation system and a referral suggestion. The referral index comprises the steps of: collecting six parameters including the systolic pressure, pulse, breathe, consciousness, platelet count and oxygen saturation of blood of a critically ill pregnant and lying-in woman; evaluating the six parameters according to the data evaluation system and calculating the pre-referral index; and providing a referral suggestion according to the index grade. The pre-referral index is used for the rapid quantitative evaluation of disease severity of critically ill pregnant and lying-in women by basic medical units so that the critically ill pregnant and lying-in women can be immediately transferred based on the referral index, thereby being beneficial to the improvement of rescue level of critical illness, and lowering the mortality rate of pregnant and lying-in women and perinatal fetuses.

The invention belongs to the field of application of a power electronic device in a power distribution network, and particularly relates to a power control method of a three-end intelligent soft switch. The three-end intelligent soft switch is used and connected with three different power distribution regions, the three-end intelligent soft switch is controlled by employing a DC current control strategy, the DC current control strategy is divided to a voltage-current control strategy and a power-current control strategy, the three-end intelligent soft switch is divided to two conditions of one-end rectification and two-end inversion and two-end rectification and one-end inversion according to an actual running state, and a dispatching system is used for allocating a transmission power of the three-end intelligent soft switch according to device capacity demands of different power distribution regions. A theoretical reference is provided for power allocation of the three-end intelligentsoft switch, so that the three-end intelligent soft switch of the power electronic device can be applied into a power distribution network very well.