276 results about "Optimal methods" patented technology

The invention discloses a method for preparing nanometer silver lines in large batch. anhydrous silver nitrate AgNO3 with the concentration of 99.9percent, anhydrous glycol (C2H6O2) of 99.8percent and polyvinylpyrrolidone (PVP, with the molecular weight of 55,000) of 98percent are selected as the raw materials; in a microwave-assisting environment, the method of adopting the glycol to reduce the silver nitrate is adopted to prepare nanometer silver lines in large batch. By replacing the original solvent heating method with the high-heat environment created by microwave, the method not only greatly saves the reaction time but also reduces the preparing costs for the nanometer silver lines. The glycol, a moderate reducer, can slow the reaction, thus providing the time for the growth of nanometer silver lines. The method of the invention is the optimal method for preparing the nanometer silver line according to testing results by comparing the influence of micro strength, precursor concentration and microwave processing time on the appearance and size of the prepared nanometer lines. The method of the invention has low cost, is simple method and easily controlled and has high practical value in the application to the industrial production developing nanometer silver lines.

The invention discloses a method for accelerating a GPU directed at a deep learning super-resolution technology. The method conducts concurrent processing on all the steps of a super-resolution technology which is based on deep learning and a convolutional neural network, and operates on a GPU. The concurrent processing refers to conducting concurrent task dividing on convolutions of the super-resolution technology which is based on deep learning and the convolutional neural network into millions of micro-tasks which are irrelevant to one another and can be concurrently executed in any order so as to fully exhibit the super-strong calculating capability of the GPU. Further, the method uses features of a GPU memory to cache convolution nuclear data and input image data to a shared memory and a register so as to substantially optimize calculating speeds of the convolutions. The method integrates the convolutions and non-linear layers. The method selects the optimal method for the sizes of different convolutions. According to the invention, the method accelerates the high quality super-resolution method to meet velocity requirements for processing videos, and does not cause any image quality loss.

The invention discloses a distributed optimal scheduling method for a multi-energy complementary microgrid containing multiple bodies based on an ADMM in the field of power system microgrid technology. According to the method, operators and users form optimal interaction based on an ADMM framework till supply and demand balance is reached. In the optimal iteration process, the operators and the users can complete optimal scheduling just by exchanging expected power supply capacity and heat supply capacity and actual power supply capacity and heat supply capacity, and therefore the privacy of the operators and the users is greatly protected. Due to efficient energy cascade utilization of cogeneration combined with a heat storage system, demand responses at the user side and renewable energy power generation, the method has the advantages of saving energy, reducing emissions, relieving the pressure of power grids and the like; a comfortable indoor temperature is set, the comfort of the users is considered, and the economical efficiency and the subjective intentions of the users are comprehensively considered in terms of cost. The method is an optimal method with lower cost and higher feasibility for economic operation of the multi-energy complementary microgrid.

The present invention relates to compositions and methods for attracting bed bugs with novel attractants and new and improved methods to enable their use to attract, monitor or trap bed bugs for surveying, monitoring, mitigation and management purposes. Known mammal pheromones were discovered to be useful as bed bug kairomone attractants. A method of delivering non-volatile attractants by using the attractive heat source to heat and volatilize the attractants was discovered to be the optimal method to disseminate the kairomones. A new method of generating low levels of carbon dioxide is disclosed, and the combination of kairomones, carbon dioxide and heat is shown to attract bed bugs.

The present invention operates as an expert system to automatically determine an optimal method for reducing the size of an electronic file containing at least one embedded image by determining optimal methods for compressing each image. Further, in one embodiment, linked images are also compressed. User control of relevant parameters such as image compression options, retention or removal of unnecessary data associated with embedded or linked images, and downsampling images to better match the output resolution of specific output devices is provided in further embodiments. Further, to prevent cumulative degradation of images through repeated lossy compression, images that have already been compressed or optimized are preferably flagged so that they are not compressed more than once.

Methods and apparatus are disclosed for applying successive multi-rank beamforming strategies (e.g., successive preceding strategies) for the design of precoders over a set of parallel channels. Successive beamforming is applied to a narrow band channel model and is also applied for finer quantization of a single beamforming vector (e.g., recursive beamforming). A first embodiment provides the optimal approach with high complexity. An alternative embodiment provides successive beamforming for near optimal preceding selection with medium complexity. A low complexity method for precoder selection is also provided wherein a channel representative matrix for the set of parallel channels is determined and successive beamforming on the calculated channel representative is applied.

A method for coating a phosphor on a flat display using electrophoretic deposition (EPD) and lithography is provided. In the method, an adhesive strength can be enhanced without passing through a high-temperature thermal treatment process as a post-process. Phosphor powders are coated on a substrate by a field emission display (FED) and then a ultraviolet (UV) curable layer is coated. Then, an adhesive strength of the phosphor can be greatly enhanced through UV irradiation, in comparison with a post-process such as a thermal treatment process. Also, the UV curable layer can be lithographically etched by the UV light, and thus the phosphor can be coated by a predetermined pattern, to then be applied to a next-generation display such as a FED or PDP as an optimal method for full color realization.

A transit information provision device is provided which provides transit information with an optimal method according to a situation of a user; the transit information provision device including a transit event information acquiring unit (101) which acquires transit event information which expresses a transit-related event; a transit information provision unit (103) which provides the transit information to a user, the transit information relating to transit event information; an information provision format storage unit (104) which stores the transit information provided by the transit information provision unit; a position information extraction unit (110) which successively extracts position information which indicates a present position of the user; a movement history storage unit (111) which stores a sequence of the extracted position information as a movement history; an information recognition judgment unit (1131) which judges recognition by the user of the transit information stored by the information provision storage unit; a route acceptance unit (106) which accepts an anticipated movement route for the user; a detour traveling judgment unit (107) which judges whether or not the user has traveled along the anticipated movement route, based on the provided transit information stored by the information provision format storage unit and the movement history stored by the movement history storage unit; a transit information provision rule calculation unit (108) operable to calculate a rule for providing the transit information using transit event information when it is judged, by the detour traveling judgment unit that the user has traveled along the anticipated movement route, and transit event information when the user is judged to have detoured by the detour traveling judgment unit; and an information provision control unit (102) operable to, when new transit event information is acquired, control the provision of transit information related to the new transit event information by the transit information provision unit, based on the rule.

The invention discloses a synthetic aperture radar efficient autofocus BP method. The synthetic aperture radar efficient autofocus BP method comprises the steps that coarse focus BP imaging is conducted on all pixels in a scene by using a constant speed linear platform track, a small scene region is selected from an image for autofocus BP processing so as to obtain a phase error vector, an accurate APC is obtained with the optimal method on the basis of the phase error vector, and accurate BP imaging is conducted on the whole scene by using the accurate APC. According to the synthetic aperture radar efficient autofocus BP method, only the small pixel region is selected for autofocus BP processing, memory and imaging time are saved greatly, coarse focus BP at the first time and accurate BP at the second time can be executed in parallel in an IMU, and therefore imaging speed and imaging efficiency can be improved more substantially; less memory is occupied and the imaging efficiency is high so that the synthetic aperture radar efficient autofocus BP method can be more suitable for SAR actually measured data processing of large scenes.

The invention provides a melanoma auxiliary diagnosis method based on artificial intelligence, which relates to the technical field of medical image processing and diagnosis. The melanoma auxiliary diagnosis method comprises the steps of: performing image preprocessing and enhancement on a dermoscopic image of a melanoma at first; and then comparing models of a segmentation method, a classification algorithm and a deep learning method of traditional machine learning, and selecting the segmentation method in traditional machine learning which is optimal for artificial intelligence diagnosis ofthe melanoma, thereby selecting the optimal method for artificial intelligence diagnosis of the melanoma. The melanoma auxiliary diagnosis method is based on the same data set, adopts the technology of comparing the existing melanoma segmentation method and the existing melanoma classification method according to different performance indexes, finally obtains the optimal machine learning method for auxiliary diagnosis, and obtains a classification output probability of a target image.

The invention provides a method for preparing granular activated carbon from lignin to solve a defect that the charring time in the prior art is long. The method is characterized in that lignin is used as a raw material to prepare granular activated carbon, an activation step is realized through microwave irradiation, and water steam is introduced during microwave activation. The method shortens the preparation flow of active flow. In an optimal method, aluminum dihydrogen phosphate is used as an activator, a large amount of washing water is not needed, and the environmental protection cost is reduced.

A process for determining an optimal method and cost of packaging and shipping goods gathers data from sources including order information, product characteristics, packaging materials and specifications, labor rates, and shipping and transportation rates in order to determine an optimal configuration for packaging for a designated freight mode and time. The process determines the optimal method by considering any specifications or requirements for the order, lead times, available packaging materials and freight options, and then calculates the least total cost of material, labor, and freight combined. The process is designed to provide the cost of packaging and shipping information in real time, when a buyer and seller are deciding whether to consummate a transaction.

A mobile communication system based on OFDM is prepared as forming service region by multiple sub-network and forming each sub-network by a numbers of cells, switching-in mobile table with fixed network through radio link with BTS and BSC as well as MSC / GW, using the same downlink carrier frequency and the same uplink carrier frequency synchronous operation by all BTS in sub-network. The method for switching over channel distribution is also disclosed.

Methods for constructing multivariate predictive models for diagnosing diseases for which test methods are individually inadequate, including: (a) performing laboratory tests on a statistically significant test population of individuals; (b) generating a score function from a linear combination of test panel results;

• • (c) performing a receiver operating characteristic (ROC) regression or alternative regression technique of the score function using those tests and β coefficients calculated simultaneously to maximize the area under the curve (AUC) of the function and chosen simultaneously to generate the largest area below that portion of the ROC curve for the (1−t₀) quantile of individuals without disease, where t₀ represents the maximum acceptable false-positive rate; (d) calculating individual pre-test disease odds; generating a diagnostic likelihood ratio of disease by determining the frequency of each individual's test score in the diseased population relative to the control population; and multiplying pre-test odds by the likelihood ratio to determine individual post-test disease odds; (e) converting a set of posttest odds into posttest probabilities for each potential multivariate methodology and creating an ROC curve for each methodology by altering posttest probability cutoff values; (f) comparing partial ROC areas generated by one or more regression techniques to determine the optimal methodology; and (g) dichotomizing the optimal methodology by finding that point on the ROC curve tangent to a line with slope (1−p) C/p·B, where p is population prevalence of disease, B is regret associated with failing to treat patients with disease and C is regret associated with treating a patient without disease.

The invention relates to an optimal method for efficiently separating and expanding mesenchymal stem cells in umbilical cord blood in cell therapy. The fact that the mesenchymal stem cells with higher differentiative capacity and smaller immunological rejection are contained in the umbilical cord blood has been proved. The establishment of an umbilical cord blood bank provides a basis for achieving transplantation of autologous cells. However, since the content of the mesenchymal stem cells in the umbilical cord blood is very low (only 0.5 to 30 mesenchymal stem cells are contained in 1*108 mononuclear cells), how to efficiently separate and expand the mesenchymal stem cells becomes a problem hindering the transformation of the mesenchymal stem cells in the umbilical cord blood to the clinical application. At present, in most situations, the mesenchymal stem cells in the umbilical cord blood are separated in virtue of adsorption capacity of the mesenchymal stem cells in a culture vessel, but the success ratio is low, and the characteristics of stem cells are difficult to maintain in an expanding process. The method comprises the steps of coating the culture vessel with protein components, adding multiple growth factors in the culture vessel in a coordination manner, and building the expansion environment of the mesenchymal stem cells in the umbilical cord blood, so as to achieve the efficient separation and expansion of the mesenchymal stem cells.

The present invention is embodied in a system and method for extracting structure from multiple images of a scene by representing the scene as a group of image layers, including reflection and transparency layers. In general, the present invention performs layer extraction from multiple images containing reflections and transparencies. The present invention includes an optimal approach for recovering layer images and their associated motions from an arbitrary number of composite images. The present invention includes image formation equations, the constrained least squares technique used to recover the component images, a novel method to estimate upper and lower bounds on the solution using min- and max-composites, and a motion refinement method.

The invention discloses an optimal method for controlling a mixed model of a first-order reaction continuous stirred tank reactor (CSTR). The method can ensure that the first-order reaction CSTR can rapidly, accurately, stably operate under the following two conditions: a transient process that a system is started and then operates into a certain stable operating point, and a transient process that the system converts into the other stable working point from a certain stable operating point. Compared with the existing first-order reaction CSTR control method, the method provided by the invention has obvious advantages.