35results about How to "Build quickly and efficiently" patented technology

The present invention discloses a brick, comprising a brick body, which comprises at least one slot position for connecting a column, and a method for using the bricks to build dikes in water, including the following steps: (1) drilling a plurality of pile holes at water bottom; (2) casting concrete into each of the pile holes to form concrete columns; (3) stacking up a number of the bricks along the concrete columns and having them tightly connected to form a wall; (4) filling the clearances between the concrete columns and the bricks with mortar. The bricks and dike building method provided by the present invention are suitable for direct over-water dike building, the construction is fast and the dikes built are firm and stable, have superior waterproof function and can effectively prevent the impact of currents, winds and waves.

The invention belongs to the field of platform gate equipment, and particularly relates to a retractable safety protection device for a platform gate system. The retractable safety protection device comprises a retractable unit which is perpendicular to a platform gate. The retractable unit comprises vertical rods and diagonal rods for folding; front and rear ends of the diagonal rods are hinged to the vertical rods mutually; the vertical rods retract forwards and backwards through folding of the diagonal rods. The retractable unit is opened or closed through retraction and expansion of door bodies; when the retractable unit is in an opened state, the door bodies of the retractable unit extend to be connected with a train car; when the retractable unit is in a closed state, the door bodies of the retractable unit retract to be close to the platform gate. When the train stops, the safety protection device can build a safety passage for getting on and off the train to prevent passengers from crossing slots transversely or stranding, thereby solving the problems of the conventional platform gates. The retractable safety protection device has the advantages of simple structure, installation easiness, capability of reducing installation cost and the like.

When creating exhaustive, affected lists within a request scope, any legal risk due to failure to identify or leverage existing knowledge of a company about custody of evidence related to a legal matter is minimized. Accurate affected lists are constructed for an ongoing or impending litigation. Affected people, systems, or record types are included at first, and the list is modified over time once their exact association to the litigation context is clarified (new ones are added, not required are removed). Automation of data capture eliminates the risk of human error during data entry. Conflict resolution is applied when the same person, system, or record type is identified in the request scope, as part of multiple affiliations and associations. Overlapping lists are automatically merged to enable simple and efficient processing, without having to cull different lists. Affected elements in the request scope that could otherwise be missed are tracked and added. A relevant list of all affected elements based on multiple likely inconsistent sources of knowledge dispersed throughout a company is created, with a high degree of confidence in the context of an ongoing litigation or an impending litigation.

The invention discloses a plant mat ecological retaining wall used for restoring mine plants and a method thereof. The plant mat ecological retaining wall comprises a locating frame and plant mats, wherein the locating frame comprises locating anchor ropes, carrying frameworks, connecting hinges and locating fasteners, the carrying frameworks are connected with the plant mats through the locating fasteners, the plant mats are embedded in the carrying frameworks, one plant mat is arranged in each carrying framework, the carrying frameworks are coaxially distributed with the plant mats, and the plant mats comprise locating rods, flow guiding pipes, non-woven fabric outer layers, polyethylene polypropylene wrapping layers, planting base materials and plant seeds. The embodiment of the method comprises the following four steps: selecting a region, mounting equipment, carrying out cultivating operation and curing. On one aspect, a stable vegetation protection system can be rapidly and effectively built for various mine slope surfaces. On the other aspect, the efficiency of combining the vegetation protection system and the mine slopes can be effectively increased, and the biological connecting relationship between the vegetation system and the mine slopes is improved. Therefore, the efficiency of fixing and modifying mine operation surfaces is increased, and at the same time, the labor intensity and cost of vegetation curing operation are reduced.

The invention discloses a method and device for constructing an iterative large-scale pronunciation dictionary, wherein the method includes: generating a sequence of entries according to raw text data; generating a sequence of phonetic symbols according to raw data of audio; generating a binary sequence using a G2P model according to the sequence of entries. Group <词条，音标>; According to the sequence of phonetic symbols, use the P2G model to generate a pair <音标，词条>;Calculate the matching degree between two pairs, and compare it with the preset matching degree, and compare the pairing degree corresponding to the matching degree less than the preset matching degree <词条，音标>and dyads <音标，词条>Extract discriminative samples to obtain discriminative samples; obtain the labeling and correction of discriminative samples by domain experts, and convert the labeled and corrected binary groups <词条，音标>and dyads <音标，词条>Stored in a multi-level large-scale pronunciation dictionary. The invention can quickly and effectively construct a large-scale pronunciation dictionary, improve the working efficiency of a speech recognition system and reduce labor costs.< / 音标，词条>

The present application provides a method and device for constructing a cross subset. The method includes: establishing a single beamline observation system, the single beamline observation system at least includes a first preset number of receiving lines and a second preset number of shot points, and a third preset number is arranged on the receiving lines A number of receiving points; according to the single-beam observation system, obtain seismic wave data; calculate the vector non-longitudinal distance from each shot point to the receiving line; according to the vector non-longitudinal distance and the position of the receiving point , performing data rearrangement on the seismic wave data to obtain rearranged seismic wave data; extracting a cross subset in the rearranged seismic wave data. The embodiment of the present application provides a method and device for constructing a cross subset, which can quickly and effectively construct a cross subset.

The invention discloses a method for constructing a robot map in a complex environment based on fog computing, including establishing a fog computing framework; the robot collects data information through sensors, transmits the data information to the fog network, and puts forward a task request for data processing. The genetic algorithm of the fog machine collaboration model is used to allocate tasks; the fog nodes execute task requests and feed back the execution results to the robot; the robot uses the extended Kalman filter algorithm to construct a local sub-map according to the execution results, and uses the sparse extended information filter algorithm to map the local Submaps are joined into a global map. The present invention can effectively shorten the communication delay; utilize the characteristics of strong information processing ability of the fog node, effectively avoid the situation of excessive load of the airborne unit caused by completely relying on the robot; and the establishment and connection of sub-maps reduce the complexity of the algorithm It solves the problem of high complexity of the overall algorithm when constructing the global map, and the process of constructing the map is fast and effective.

The invention discloses a reliable multicast routing construction method under uncertain source conditions, including: constructing an optimal calculation model for calculating the sum of transmission cost and recovery cost in multicast routing; and the minimum purpose, construct the constraints of the optimization calculation model; calculate the calculation results of the optimization calculation model through the calculation of the constraints, and then can be based on the calculation results or according to the two effective multicast forest construction methods proposed by the application. Reliable construction of multicast routes. The method not only considers transmission consumption to improve broadband utilization, but also considers recovery cost to improve transmission stability and reliability. At the same time, by constructing constraints, the construction of multicast routing can be realized quickly and effectively. Therefore, the method for constructing reliable multicast routes under uncertain source conditions can construct multicast routes with better paths, thereby reducing the total cost in multicast routing and improving broadband utilization.

A cross-modal hash learning method based on anchor graph, which is characterized in that the method includes the following steps: (1) Using an objective function designed based on anchor graph technology to obtain the binary hash of an object in image modality and text modality (2) In view of the non-convex nature of the objective function, the unknown variables , , and in the objective function are solved by alternately updating; (3) Based on the solution, we get The projection matrix sum of the image modalities and text modalities, generate binary hash codes for the query samples and samples in the retrieval sample set; (4) Calculate the Hamming of the query samples to each sample in the retrieval sample set based on the generated binary hash codes distance; (5) The retrieval of query samples is done using a cross-modal retriever based on approximate nearest neighbor search. This method can quickly obtain the approximate matrix of the real similarity matrix based on the anchor graph technology.