36 results about "Technology utilization" patented technology

This paper describes an EDA (Electronic Data Automation) method and computer software invention for connectivity verification of IC mask Layout database versus IC Schematic; LVS Check (LVS: IC Layout versus IC Schematic) over the internet. The technique takes advantage of a unique algorithm to check the mask layout database connectivity, compare it with its corresponding schematic diagram for any mismatches in the mask layout polygons connections. The input of the tool is a mask layout database blocks (i.e.: IC layout) that were made manually and/or automatically using synthesized tools. These blocks may have some connectivity mismatches that need to be fixed in order to match the corresponding integrated circuit (IC) schematic diagrams. The output of the software tool is a text based descriptive log file and errors markers pointers that may be read into the mask layout database in order to point any connectivity mismatches of the mask layout database, comparing it to its corresponding schematic diagram. The end result is a mask layout set of markers and a text format log file that describes any mismatched connections in the mask layout database, comparing it to its corresponded schematic diagram. The software performs on individual mask layout blocks and/or on hierarchical structure of mask layout blocks. The system works hierarchically and/or flat. System also checks mask layout database incrementally, means only blocks that have been changed are checked. The system can be run via the internet using our secured protocol. The system offer a web based control panel to execute all necessary setups for submitting LVS check over the internet. The system offers the option to run on a local machine (user's computer) or on the main server over the internet. (Inventor's computer) The system also offers a PDA (Personal Digital Assistant) interface to launch LVS runs via industry's standard PDA's. The procedure is fully secured by 128 bit security protocol. All necessary file including mask layout GDSII (or GDSIII) file, netlist and technology file are securely encrypted using 128 bit protocol and send to the remote server. These files are decrypted and submitted for LVS check on the remote servers. The main remote server is distributing the task among other computer system for advanced parallel processing to achieve fast results. All results log files are encrypted using 128 bit security protocol and available for download by the user. In case of local LVS check the results files are available on the user's local machine.

A system and method is disclosed for identifying a technology bias of a company located within a community. Information is gathered regarding technology production, where the technology production includes technology that relates to technology produced by the company. Other information is gathered regarding technology absorption, where the technology absorption includes technology absorbed into a product or service of the company. Yet other information is gathered regarding technology utilization. The technology bias of the company is then identified in accordance with the quantified information about technology production, the quantified information about technology utilization, and the quantified information about technology absorption.

The invention discloses an intelligent comprehensive modeling method for power load digital statistics. The method comprises a non-invasive load monitoring technology. According to the technology, anelectric energy metering device is used for collecting electric load information, deep learning, reinforcement learning and other technologies are used for identifying and classifying user electric loads, a load element model and parameters based on data are formed, and the proportion of energy consumed by a single load element to total consumed energy is calculated. The load element model and theenergy consumption proportion are combined into a load model and the load model is summarized to a bus node, and data such as load element types, parameters and proportions are acquired by adopting methods such as digital statistics and intelligent synthesis. Then, a deep learning algorithm framework such as a production adversarial network generates a power load model and a load discrimination model for accuracy verification of the power load model. The digital statistical intelligent comprehensive modeling method for the power load has the potential of online operation and real-time modeling.

A minimal in-continuous two-dimensional phase development method based on phase in-continuous region detection relates to the signal processing field, comprising the steps of; first, eliminating isolated noise pixel for a package phase diagram; then detecting phase in-continuous region in the phase diagram by an edge detection, an inflation and erosion method; searching for an increased circle in the phase in-continuous region to increase or decrease the number of jumps to make the minimal sum of number of jumps; last, developing entire package phase diagram according to the number of the jumps. The method avoids the increased circle cycled search of a redundancy in the non-phase in-continuous region, which overcomes defects of low technology utilization ratio and large resource occupation, improves efficiency of the phase development method; the method, by limiting the increased circle searching region in the region by detecting the phase in-continuous region, enables the noise not to be spread to the region, except the regions, where the phase development reliability is high and improves the phase development accuracy of the package phase diagram.

The invention relates to a method of a compound MnOOH superfine single crystal nanometer line. In the method, potassium permanganate is utilized as a raw material, and organic molecules such as polyvinyl pyrrolidone (K30,K50 and the like), lauryl sodium sulfate and the like are utilized as reducers; and a hydrothermal reaction is carried out at the temperature of 120-170 DEG C in a closeness reactor, thereby preparing large quantity of MnOOH superfine single crystal nanometer lines the diameters of which are about 10 nm and have different length diameter proportions. The raw material related in the method is cheap and easy to get, the cost is low, the compound process is simple and easy to realize, the product quality is stable and process repetitive property is good; and the nanometer line manufactured by the invention can further process so as to obtain a more comprehensive manganese oxide material, thereby being used for the fundamental research and technology utilization of related fields such as lithium ion batteries and the like.

To reduce hardware idle time, accelerators implementing neural network training use pipelining where layers are fed additional training samples to process as the results of previous processing of a layer moves on to a subsequent layer. Other neural network training techniques take advantage of minibatching, where multiple training samples equal to a minibatch size are evaluated per layer of the neural network. When pipelining and minibatching are combined, the memory consumption of the training can substantially increase. Using pipelining can mean foregoing of minibatching, or choosing a small batch size, to keep the memory consumption of the training low and to retain locality of the stored training data. If pipelining is used in combination with minibatching, the training can be slow. The described embodiments, utilize virtual minibatches and virtual sub-minibatches to emulate minibatches and gain performance advantages.

The invention provides a manufacturing method of a low alloy steel thick plate with surface-layer ultra-fine grain ferrite, and belongs to the technical field of low alloy steel production. According to the control technical parameters, the manufacturing method comprises the technological steps that the reheating temperature of a plate blank processed before rolling ranges from 1050 DEG C to 1200 DEG C; in the rough rolling stage, the rolling temperature ranges from the austenite recrystallization final temperature Tnr DEG C to (Tnr+100) DEG C; accelerated cooling is conducted on the surface of an intermediate blank at the speed ranging from 6 DEG C/s to 33 DEG C/s so that the temperature of the surface of the intermediate blank can range from Ar3 to Ms, the rolling temperature of each pass of finish rolling ranges from (Ac1+40) DEG C to A3 DEG C, and the average strain rate of the passes ranges from 0.2s<-1> to 6s<-1>; and after rolling is finished, the steel plate is quickly cooled at the speed ranging from 6 DEG C/s to 24 DEG C/s, the re-reddening temperature of the steel plate ranges from 600 DEG C to 420 DEG C, and then air cooling is conducted. The manufacturing method has the advantages that tempered martensite, bainite structures and deformation ferritic structures easily formed on the surface of the thick steel plate in the temperature return rolling technology utilization process can be avoided, or the quantities of the tempered martensite, the bainite structures and the deformation ferritic structures can be reduced, and therefore the negative influence of the tempered martensite, the bainite structures and the deformation ferritic structures on the crack arrest toughness and the overall combination property of the thick steel plate with surface-layer ultra-fine grains is reduced.

An anti-deformation processing technology for a thin-walled body of an air compressor. The anti-deformation processing technology for a thin-walled body of an air compressor is: designing special tooling to effectively avoid the phenomenon of benchmark shifting when processing special positions, The tooling can play a good role in positioning and supporting, and at the same time, the feed rate of each tool is strictly controlled to avoid machining deformation; the machining process of the fuselage is improved, and a new type of extended boring tool is selected. Move the worktable to complete one-time processing of the coaxial holes to ensure the processing accuracy of the coaxial holes of the fuselage; refine the processing technology, standard-definition the clamping method and processing size of the fuselage, improve the utilization rate of the process, effectively guide the operator to work, and reduce operations The phenomenon of processing errors and inability to process occurs; replace new equipment. The invention has technological innovation, strict technological requirements, control of the production process, and improves the processing accuracy of the thin-walled box parts of the air compressor fuselage, and is applied in the technical field of air compressors.

The invention discloses a Linux operating system sleep quick starting method based on an NVDIMM and relates to the field of memory technology utilization. Sleep mirror images originally needing to bestored to SWAP disk subareas are stored on an NVDIMM medium through utilization of the NVDIMM medium; the NVDIMM memory medium is divided into the disk subareas in a simulation mode; and the corresponding disk subareas are set as SWAP subareas. When STD (Suspend to Disk) of the system sleeps, the mirror images are stored to the NVDIMM memory medium, the read/write speed obtained through utilization of the NVDIMM memory medium is superior to a disk medium, and when the system is waked up, the starting speed is rapidly improved.

Aspects of the disclosed technology provide an artificial intelligence process control (AIPC) for automatically detecting errors in a manufacturing workflow of an assembly line process, and performing error mitigation through the update of instructions or guidance given to assembly operators at various stations. In some implementations, the disclosed technology utilizes one or more machine-learning models to perform error detection and/or propagate instructions/assembly modifications necessary to rectify the detected errors or to improve the product of manufacture.

The invention provides an implementation technology of a general access strategy in cloud storage. According to the technology, a general access structure is constructed by utilizing the Chinese remainder theorem on a polynomial ring Fp [x]. An irreducible polynomial is used as the modulus of the Chinese remainder theorem, and the number of times of the polynomial is determined by solving the integer linear programming problem and is in direct proportion to the rights of users. The constraint condition of integer linear programming depends on the characteristics of a general access structure.The technology has perfect security and does not depend on any calculation difficulty problem. The method comprises three steps of access structure preprocessing, secret distribution and secret reconstruction. Wherein the preprocessing stage comprises the steps of determining a maximum forbidden set and a minimum authorized set, determining modulus, establishing constraint conditions and determining the number of times of an irreducible polynomial. The secret sharing stage comprises the steps of searching for an irreducible polynomial fi (x) of corresponding times, generating a sub-secret Si,and distributing the sub-secret. And the secret reconstruction stage comprises the step of recovering a secret formula by utilizing the Chinese remainder theorem to obtain a secret S.

The invention provides an application SaaS implementation method and device, equipment and a storage medium. Each to-be-SaaS application is correspondingly configured by utilizing preset middleware based on a section-oriented programming technology to obtain a plurality of corresponding candidate applications. Candidate database information and a data creation statement are generated, a target account number and target domain name information corresponding to the target application are generated, and then the target database information is determined according to the target application, the candidate database information and the data creation statement; and a corresponding target data table is obtained by utilizing the target domain name information, the target account number and the target application number. According to the method, the to-be-SaaS application is configured based on the aspect-oriented programming technology and the preset middleware, dynamic data source switching isachieved on the to-be-SaaS application in a low-intrusion or non-intrusion mode, a relatively balanced data isolation scheme is provided for SaaS of the application, and the high concurrency requirement is met under the condition that few system resources are consumed.