3262 results about "Disposal Technique" patented technology

There are many inventions described and illustrated herein. In one aspect, the present invention is directed to a technique of, and system for simulating, verifying, inspecting, characterizing, determining and / or evaluating the lithographic designs, techniques and / or systems, and / or individual functions performed thereby or components used therein. In one embodiment, the present invention is a system and method that accelerates lithography simulation, inspection, characterization and / or evaluation of the optical characteristics and / or properties, as well as the effects and / or interactions of lithographic systems and processing techniques. In this regard, in one embodiment, the present invention employs a lithography simulation system architecture, including application-specific hardware accelerators, and a processing technique to accelerate and facilitate verification, characterization and / or inspection of a mask design, for example, RET design, including detailed simulation and characterization of the entire lithography process to verify that the design achieves and / or provides the desired results on final wafer pattern. The system includes: (1) general purpose-type computing device(s) to perform the case-based logic having branches and inter-dependency in the data handling and (2) accelerator subsystems to perform a majority of the computation intensive tasks.

In the process sequence for replacing conventional gate electrode structures by high-k metal gate structures, the number of additional masking steps may be maintained at a low level, for instance by using highly selective etch steps, thereby maintaining a high degree of compatibility with conventional CMOS techniques. Furthermore, the techniques disclosed herein enable compatibility to front-end process techniques and back-end process techniques, thereby allowing the integration of well-established strain-inducing mechanisms in the transistor level as well as in the contact level.

This invention is directed towards finding, locating, and confirming threat items and substances. The inspection system is designed to detect objects that are made from, but not limited to, special nuclear materials (“SNM”) and / or high atomic number materials. The system employs advanced image processing techniques to analyze images of an object under inspection (“OUI”), which includes, but is not limited to baggage, parcels, vehicles and cargo, and fluorescence detection.

Relating to the technical field of harmless treatment of petroleum exploitation sludge, the invention provides a harmless reinjection treatment method for petroleum exploitation sludge. By means of a pump station composed of several hydraulic injection pumps in parallel connection, the sludge generated in petroleum exploitation is sent to an abandoned layer of an oil field. The method provided in the invention employs the hydraulic injection pumps with long stroke, low stroke frequency and high pressure to inject the sludge into the abandoned layer of the oil field, therefore, the treatment problem of oilfield exploitation sludge is solved, and simultaneously the sludge is returned to underground, thus realizing recycling of petroleum resources in the sludge, enhancing the petroleum recovery rate of the oil field, and changing the waste petroleum exploitation sludge into things of value.

A mobile station and methods are disclosed for diagnosing and modeling site specific effluent treatment facility requirements to arrive at a treatment regimen and / or proposed commercial plant model idealized for the particular water / site requirements. The station includes a mobile platform having power intake, effluent intake and fluid outflow facilities and first and second suites of selectably actuatable effluent pre-treatment apparatus. An effluent polishing treatment array is housed at the station and includes at least one of nanofiltration, reverse osmosis and ion-exchange stages. A suite of selectively actuatable post-treatment apparatus is housed at the station. Controls are connected at the station for process control, monitoring and data accumulation. A plurality of improved water treatment technologies is also disclosed. The modeling methods include steps for analyzing raw effluent to be treated, providing a field of raw effluent condition entry values and a field of treated effluent condition goals entry values, and utilizing said fields to determine an initial treatment model including a selection of, and use parameters for, treatment technologies from the plurality of down-scaled treatment technologies at the facility, the model dynamically and continuously modifiable during treatment modeling.

A machine learning system for ranking a collection of filtered propensity to failure metrics of like components within an electrical grid that includes a raw data assembly to provide raw data representative of the like components within the electrical grid; (b) a data processor, operatively coupled to the raw data assembly, to convert the raw data to more uniform data via one or more data processing techniques; (c) a database, operatively coupled to the data processor, to store the more uniform data; (d) a machine learning engine, operatively coupled to the database, to provide a collection of propensity to failure metrics for the like components; (e) an evaluation engine, operatively coupled to the machine learning engine, to detect and remove non-complying metrics from the collection of propensity to failure metrics and to provide the collection of filtered propensity to failure metrics; and (f) a decision support application, operatively coupled to the evaluation engine, configured to display a ranking of the collection of filtered propensity to failure metrics of like components within the electrical grid.

The present invention relates to a video advertisement identifying method based on hierarchical matching. Through locality sensitive hash (LSH) and fine granularity successive elimination (FGSE), the method which can rapidly inspect whether TV programming contains the advertisements as listed in database is developed by utilizing the novel video features of advertisements and post-treatment technology. The technical proposal is that the present invention is characterized in comprising the following steps of the establishment of offline database and online monitoring, wherein, the offline database consists of offline pre-treatment and Hash form preparation; the online monitoring consists of online pre-treatment, from-coarse-to-fine secondary matching and post-treatment.

The invention discloses a traffic flow running rate recognizing method based on bus GPS data and relates to a traffic information collecting and processing technology in the field of intelligent traffics. The method comprises the following solving steps of: carrying out grade division on an urban road section by a GIS; confirming a speed threshold value K1 and a speed threshold value K2 of all grades of roads; carrying out sub-road section division on the urban roads by the GIS; obtaining an average value of the speed that all buses pass through a sub-road section in a certain time interval, which is collected by a bus vehicle-mounted GPS system; comparing the average value of the speed with the threshold value K1 and the threshold value K2 of the sub-road section and confirming the traffic flow running rate of the sub-road section. The traffic flow running rate recognizing method based on bus GPS data can obviously improve the recognizing precision of the traffic flow running rate, reduce the time delay and provide the type of traffic jam simultaneously, thereby providing a basis for selecting more convenient traveling line for a traveler and proving more powerful decision support for establishing a jam facilitating scheme for a traffic management department.

The invention proposes a processing technology of heterocatalysis persulfate Fenton oxidation water. In the method, transitional metal, transitional metallic oxide and a transitional metal / transitional metallic oxide composite material are used as out-phase Fenton reagents; and persulfate is catalyzed and decomposed to generate hydroxyl radical free radical, thus oxidizing to remove the organic matters in the waste water. Compared with the water treatment technique of homogeneous phase persulfate, the out-phase transitional metal and the transition metal oxide catalyst can slowly release transitional metal icons, thus ensuring that the organic matters in the water are purified lastingly and efficiently by the processing method of the heterocatalysis persulfate Fenton oxidation water. The processing technology of heterocatalysis persulfate Fenton catalyzed oxidation water built by the invention is suitable for processing various organic wastewater, has the advantages of good durability, high efficiency, environmentally friendliness, and no secondary pollution, is easy to operate, conforms to the requirements of actual water treatment units, and has great application potential in the field of environmental pollution regulation.

The invention discloses a message processing system and processing method based on kafka and belongs to the technical field of message processing. The message processing system and processing method based on kafka are aimed to solve the problems of the prior art that repeated messages appear in an order system frequently, the processing for each message consumes much system resource, the system resource consumption would greatly increase the database visitor volume at the consumer end, the message processing ability is lowered, and the system stability and service effectiveness are lowered. The message processing system based on kafka comprises a message producer cluster composed of one or more message producers, a kafka cluster, and a consumer cluster composed of one or more consumers, the kafka cluster is composed of one or more servers, and the consumer cluster comprises a filter module, a local message queue caching module and a business processing module. The message processing method realized through the system is used for the system especially the order system which needs to process a large number of messages.

In general, the purpose of the probe system is to provide improved rapid field methods using re-designed direct push technology (DPT) and “push-pull testing” concepts to evaluate in situ chemical, biochemical, surfactant, adsorptive media, and leaching and fixation remediation technologies for hazardous subsurface contaminant(s). The probe system and methods described here when applied to a hazardous waste site being considered for in situ remediation of contaminants (organic or inorganic) by the listed treatment technologies will yield information that greatly reduces the uncertainty with regards to treatment effectiveness for the in situ soil, groundwater, and contaminant(s) conditions affecting dosage requirements and reaction rate(s) for various reactants. The probe system described here is multi-purpose in that it was designed: 1) to measure the relative permeability of the subsurface soil and groundwater to a liquid or gas ejectant, 2) to recover soil gas, soil, or groundwater samples for contaminant analyses, 3) to measure the chemical dosage and reaction, dissolution, adsorption, desorption, leaching, or fixation rate of a reactant such as a chemical or biochemical oxidant, metallic or bimetallic dehalogenating agent, surfactant or emulsifier solution, adsorbent media regenerant, leaching or fixation reagent that is injected into the matrix and withdrawn during a push-pull test, 4) to perform combinations of the above, 5) to measure the in situ adsorption capacity of adsorbent media and subsequently measure the effectiveness of regenerant(s) for the adsorbent media, and (6) to measure the effectiveness of a treated soil column for inorganic contaminant(s) leaching or fixation. In addition to being an in situ remedial alternatives evaluation tool, the probe system can be used as a reactant(s) delivery device after the specific remedial technology has been selected.

The invention discloses an intelligent traffic system, which reduces traffic jam, environmental pollution, accident rate and the load of drivers and achieves the aims of ensuring security, improving efficiency and environment and saving energy resources. The technical scheme is that the invention adopts the intelligent traffic system which is formed by a road system composed of a lead-in lane and a totally-closed lane, a GPS positioning system, a 3G or 4G communication system, a control system and automatic travel vehicles. After using the intelligent traffic system, the driver can give up autonomic driving and uses automatic driving controlled by the system to reach the destination. The intelligent traffic system uses advanced information technology, data communication transmission technology, global positioning technology, geographic information system technology, electric control technology and computer processing technology, is a novel transportation system integrating informatization, intelligent and socialization and makes traffic infrastructure exert the largest efficacy.

A method and system is provided for tracking mobile devices combining packet processing technology with Global Positioning System (GPS) technology. A central network system comprising a packet processing subsystem receives transmitted GPS location data from a mobile device transmitting GPS location data, wherein the packet processing subsystem uses a table access scheme to process the GPS location data and produce responsive mapping data, and the central network processing system compares the mapping data to a map and identifies a corresponding map location. Embodiments may also correlate device identification data, tracking table entries, and / or billing zone charges. In some embodiments a look-up key is built responsive to the GPS location data and used to identify map locations. The table access scheme may be a key hashing scheme and, in particular, a longest prefix match type scheme.

This invention is directed towards finding, locating, and confirming threat items and substances. The inspection system is designed to detect objects that are made from, but not limited to, special nuclear materials (“SNM”) and / or high atomic number materials. The system employs advanced image processing techniques to analyze images of an object under inspection (“OUI”), which includes, but is not limited to baggage, parcels, vehicles and cargo, and fluorescence detection.

This invention is directed towards finding, locating, and confirming threat items and substances. The inspection system is designed to detect objects that are made from, but not limited to, special nuclear materials (“SNM”) and / or high atomic number materials. The system employs advanced image processing techniques to analyze images of an object under inspection (“OUI”), which includes, but is not limited to baggage, parcels, vehicles and cargo, and fluorescence detection.

The invention provides a verification method and system for intelligent contract transactions in a block chain, a computer device and a computer readable storage medium, and relates to the technical field of data processing. The method comprises the steps of adding identifiers of transaction types in the intelligent contract transactions when a transaction sending node broadcasts a plurality of intelligent contract transactions in a block; a block generation node executing the intelligent contract transaction according to the transaction type identifiers of the intelligent contract transactions; broadcasting the block after the executed intelligent contract transactions are packaged into the block; a verification node receiving the block and executing the intelligent contract transactionsaccording to the transaction type identifiers of the intelligent contract transactions to obtain the final state of the block; the verification node comparing and verifying the final state of the block with the post-transaction state recorded in the block, and the block being verified to pass when the final state of the block is consistent with the post-transaction state recorded in the block. According to the invention, the verification efficiency of the block is improved.

The invention discloses a zero-emission integrated process for treatment and reuse of high-salinity wastewater. The invention relates to a softening desalination treatment technology of water and particularly relates to a reuse treatment system for reverse osmosis concentrated water containing low-concentration organic matters which can achieve the requirement of 'zero emission'. The integrated process comprises the following steps: (1) firstly softening and pre-treating the high-salinity wastewater; (2) acquiring pre-treated water by virtue of activated carbon adsorption and an ultrafiltration device; (3) acquiring nanofiltration softened water and nanofiltration concentrated water by virtue of a nanofiltration device; (4) acquiring reverse osmosis softened water and reverse osmosis concentrated water by virtue of a reverse osmosis device; (5) acquiring electrodialysis softened water and electrodialysis concentrated water by virtue of an electrodialysis device; and (6) carrying out evaporation crystallization treatment on the electrodialysis concentrated water by virtue of an evaporation-crystallization device, regularly outwards transporting salts generated by the evaporation crystallization, feeding generated salt into a water-producing tank to enter a reuse system and finally completing the treatment and reuse of high-salinity wastewater. The integrated process is mainly used for the integrated treatment of the high-salinity wastewater.

The present invention relates to an image processing technique for effectively suppressing noise by providing a fully automatic calcification patch detection, segmentation and quantization apparatus and method based on fuzzy super pixel clustering in CTA data. The technical scheme adopted in the present invention is the method for the enhancement of coronary artery calcification detection and quantification in CT image. The method comprises the following steps: first, using a seed point to automatically choose a low threshold region to grow and obtain a coronary artery region containing the calcification patch; then using the fuzzy C-means clustering algorithm to divide the above-mentioned blood vessel region into a finite number of super-pixel sets according to the Euclidean distances among the pixel points and the gray scale differences of the pixels in the region; and finally, using a threshold selection method based on gray histogram to screen the super pixel sets to obtain the final measurement and quantification result of the calcification patch, and completing the calcification score calculation of the blood vessel according to the segmentation result. The invention is used mainly in image processing.

The invention discloses a comprehensive treatment method for kitchen waste, town excrement and municipal sludge, relating to the technical field of harmless resourceful treatment for waste. The comprehensive treatment method comprises the following steps of: pretreating the kitchen waste; pretreating the excrement waste; pretreating the municipal sludge; homogenizing; adjusting; fermenting at a medium temperature; dehydrating biogas residue; and performing biogas treatment. The degradation rate of organic matters in the waste reaches over 80 percent.

The present invention relates to environment protecting technology, and is especially one kind of sludge drying treatment process. The present invention is one low-cost combined sludge drying and utilizing process integrating microwave technology, aerobic fermentation technology and heat pump drying technology. The present invention is suitable for treatment of different kinds of sludge, and the sludge product has wide applications, including use as organic fertilizer, use as the material for composite organic fertilizer and building material, use as fuel for incinerating garbage and heating boiler, etc.

The invention belongs to the technical field of medical image processing, and discloses a DCM myocardial diagnosis and treatment radiation image segmentation method based on a multi-scale characteristic pyramid, which is used for segmenting a cardiac MRI image and completely segmenting medical anatomical structures such as myocardium and a blood pool. According to the method, traditional convolution is replaced by convolution with holes, so that the method has the advantages that the receptive field of the convolution kernel is larger, and larger context information can be obtained; By using spatial pyramid pooling, information extraction can be carried out on the image on different scales to cope with multi-scale characteristics of the image, and even a very small object can be effectively captured; Detail information can be recovered by using an encoder structure and a decoder structure, shallow features and high-level features are fused, and a segmentation mask with rich semantics and complete details is obtained; According to the method, the workload of doctors is reduced, and the method has great significance for disease analysis and subsequent treatment plans and postoperative evaluation.

Methods and systems for creation, processing, and use of compound features during data analysis and feature recognition are disclosed herein. In a preferred embodiment, the present invention functions to apply a new level of data discrimination during data analysis and feature recognition events such that features are more easily discerned from the remainder of the data pool using processing techniques that are more conducive to human visualizations, perceptions, and / or interpretations of data. This is accomplished using an example tool that allows previously processed and identified features (hereafter “known features”) to be aggregated so as to aid the system in recognizing abstract data features, preferably using Boolean operators and user-assigned hit weight values across desired cluster ranges surrounding analyzed data elements.

The invention relates to a multi-target division prognostication method based on feature analysis and belongs to video monitoring image processing technical field. The method includes extracting background, determining motion detecting threshold, performing clustering on the motion detection and processing into rectangles, performing first matching and wave filtering, determining corner points, forming vectors, and performing second matching. With the invention, no influence on the analysis prognostication results occurs even if the target object is shielded locally; therefore problem of interference among mobile targets which cannot be solved with the prior arts is solved. By applying the invention on a video monitoring system, recognition, tracking and monitoring on adjacent targets can be realized effectively.

The provided is a method that can automatically align image frames in recorded video clips. Individual frames in video may shift and rotate due to shaking or vibration of a video camera. Unaligned frames make some imaging processing techniques difficult or infeasible. One example of image processing techniques is to isolate, recognize, and / or quantitatively analyze vapor plume images captured by an Infrared (IR) camera. Such techniques have a great potential to be used to automatically detect volatile organic compounds (VOC) leaked from process equipment at refineries and chemical plants. This invention is a technique for various subsequent image processing techniques. The invention uses spatially based Fast Fourier Transforms (FFT) to determine amount of shift, rotation, and scaling to align image frames, and uses a digital filtering technique to improve the alignment.

A bulk heterojunction comprising an intermixed blend of fully inorganic n- and p-type particles and its method of manufacture are described. The particles are preferably nanometer-scale, spherical-shaped particles known as nanocrystals which are assembled into a densely packed three-dimensional array. The nanocrystals are preferably fabricated from a photo-active material which, in combination with the nanocrystal shape and size, can be engineered to produce a bulk heterojunction with a specific absorption spectrum. The bulk heterojunction is preferably formed by dispersing a predetermined ratio of the desired n- and p-type nanocrystals in an organic solvent and employing low-cost solution processing techniques to deposit a film having the desired thickness, relative concentration of nanocrystal types, and degree of intermixing onto a substrate. When incorporated as the active layer in optoelectronic devices such solar cells, fully inorganic bulk heterojunctions offer significant improvements in performance while maintaining the low costs associated with organic processing techniques.

The invention discloses a recycling treatment device for desulfurized waste water and a method thereof. The recycling treatment device is characterized according to the characteristics of the desulfurized waste water, i.e., high-hydrochloric-acid inorganic waste water, a membrane treatment technology and an evaporation and crystallization treatment technology are adopted for carrying out the high-efficiency combined design, and the recycling treatment device comprises a pretreatment system, a membrane concentration treatment system and an evaporation and crystallization treatment system. The method comprises the following steps: firstly utilizing lime, sodium carbonate and a weak-acid bed for softening, and filtering by a cross-flow tube type microfiltration membrane, and removing calcium-magnesium ions and heavy-metal pollutants, then utilizing reverse osmosis and electrodialysis to carry out concentrated reduction on pretreated water, and reusing water produced from the reverse osmosis; finally evaporating and crystalizing concentrated liquid of the membrane concentration treatment system, respectively producing sodium sulfate and sodium chloride for recovering, reusing condensed water, thus achieving the purpose of recycling treatment of the desulfurized waste water. The recycling treatment device and the method disclosed by the invention have the advantages that (1) the softening of the lime, the sodium carbonate and the weak-acid bed is thorough; (2) the reverse osmosis and electrodialysis concentration are high-efficiency and the water produced by the reverse osmosis can be reused; (3) the sodium sulfate and the sodium chloride are respectively recovered from evaporation and crystallization; (4) the recycling treatment of the desulfurized waste water is realized.

The invention belongs to the technical field of remote sensing information processing and particularly relates to a hyperspectral semi-supervised classification method based on space-spectral information. The hyperspectral semi-supervised classification method based on the space-spectral information includes the step of parameter setting, the step of space-spectral information extracting, the step of classification process conducting and the step of semi-supervised classification non-label sample selecting. According to the hyperspectral semi-supervised classification method based on the space-spectral information, space information and spectral information can be combined to effectively supervise the performance of the classification method, as the number of non-label training samples is increased, the performance of the method is also promoted because when the number of the non-label samples is increased, more space distribution information is provided, and a better prediction can be made for a classifier.

The invention relates to the technical field of computer graphics and image processing, in particular to a 3D human face modeling method based on front silhouette, which mainly models the 3D human face in a fully automatic manner. The method comprises the following steps: a general human face grid model is built by 113 feature points and 184 tri patch information arrays which are connected with the 113 feature points based on Candide parameterization; 2D position information and depth information of a specific human face are determined by virtue of human eyes location algorithm and side nose tip location algorithm by inputting two 2D images, the general face model is modified and transformed into a specific human face model; an interpolating is calculated for the human body patches by Delaunay Triangulation Technology and texture mapping is carried out by the Bilinear Interpolation Technology, thus causing the human face image to be appeared more delicate and accurate; and the method solves the problems such as low efficiency, high calculation expense, and the like, existing in the prior art.