1289 results about "High effectiveness" patented technology

The present invention is primarily directed to cost-effective systems for using large reflective elements that track the sun on two axes to concentrate solar energy onto a receiver that can convert the sun's optical energy to a form usable for extensive displacement of combustion of fossil fuels. The structures of the tracker frame, tracking mechanism and tracker supports are co-optimized with the optical elements and the receiver for high efficiency, low cost, and ease of assembly, making moderate and large-scale implementations cost-competitive with fossil fuels for peak power, and, with suitable storage, for base-load power and dispatchable peaking power in sunny locations. Improvement to small-tracker two-axis systems and one-axis tracking systems that focus in two dimensions are also included, as are improvements in systems for space-based solar power.

An advanced internal combustion-electric hybrid airplane, having at least double the flight range and flight duration than a conventional equivalent airplane, while using the same amount of any desirable fuel. This is achieved by using 2-3× smaller and ultra-lightweight engine for cruising, and ultra-lightweight electric motor powered by lithium batteries during take-off and climbing. The electric motor becomes a generator during cruising and descent, recharging said batteries. The airplane has also temporary silent electric stealth capability and added safety by the electric back-up power. Due to its high efficiency, the operational cost is substantially reduced. Additional features include highly advanced, minimum drag and weight airframe.

A robust multiple-walled, multi-pass, high cooling effectiveness cooled turbine vane or blade designed for ease of manufacturability, minimizes cooling flows on highly loaded turbine rotors. The vane or blade design allows the turbine inlet temperature to increase over current technology levels while simultaneously reducing turbine cooling to low levels. A multi-wall cooling system is described, which meets the inherent conflict to maximize the flow area of the cooling passages while retaining the required section thickness to meet the structural requirements. Independent cooling circuits for the vane or blade's pressure and suction surfaces allow the cooling of the airfoil surfaces to be tailored to specific heat load distributions (that is, the pressure surface circuit is an independent forward flowing serpentine while the suction surface is an independent rearward flowing serpentine). The cooling air for the independent circuits is supplied through separate passages at the base of the vane or blade. The cooling air follows intricate passages to feed the serpentine thin outer wall passages, which incorporate pin fins, turbulators, etc. These passages, while satisfying the aero/thermal/stress requirements, are of a manufacturing configuration that may be cast with single crystal materials using conventional casting techniques.

During the structural analysis of a protein or peptide by tandem mass spectroscopy, a peptide ion derived from a protein that has already been measured and that is expressed in great quantities is avoided as a tandem mass spectroscopy target. A peptide derived from a minute amount of protein, which has heretofore been difficult to analyze, can be automatically determined as a tandem mass spectroscopy target within the real time of measurement. Data concerning a protein that has already been measured and a peptide derived from the protein is automatically stored in an internal database. The stored data is collated with measured data with high accuracy to determine an isotope peak. In this way, the process of selecting a peptide peak that has not been measured as the target for the next tandem analysis can be performed within the real time of measurement and a redundant measurement of peptides derived from the same protein can be avoided. The information contained in the MSⁿ spectrum is effectively utilized in each step of the MSⁿ involving a multi-stage dissociation and mass spectroscopy (MSⁿ), so that the flows for the determination of the next analysis content and the selection of the parent ion for the MSⁿ⁺¹ analysis, for example, can be optimized within the real time of measurement and with high efficiency and accuracy. Thus, a target of concern to the user can be subjected to tandem mass spectroscopy without wasteful measurement.

A RF-digital hybrid mode power amplifier system for achieving high efficiency and high linearity in wideband communication systems is disclosed. The present invention is based on the method of adaptive digital predistortion to linearize a power amplifier in the RF domain. The power amplifier characteristics such as variation of linearity and asymmetric distortion of the amplifier output signal are monitored by the narrowband feedback path and controlled by the adaptation algorithm in a digital module. Therefore, the present invention could compensate the nonlinearities as well as memory effects of the power amplifier systems and also improve performances, in terms of power added efficiency, adjacent channel leakage ratio and peak-to-average power ratio. The present disclosure enables a power amplifier system to be field reconfigurable and support multi-modulation schemes (modulation agnostic), multi-carriers and multi-channels. As a result, the digital hybrid mode power amplifier system is particularly suitable for wireless transmission systems, such as base-stations, repeaters, and indoor signal coverage systems, where baseband I-Q signal information is not readily available.

The invention discloses a TFDS fault automatic recognition method. The method is formed by a two-stage cascaded convolution neural network model based on a deep learning theory: the first stage is a network model with multi-class fault region synchronous positioning, and with the combination of space mutual position relation constraint of multi-fault regions, synchronous and accurate positioning of the multi-fault target regions is realized; and the second stage is a fault determination network model, and determination of faults and non-faults for the regions located by the first stage is realized. According to the TFDS multi-class fault synchronous and automatic recognition method, the design of recognition methods for different faults is not needed, features are adaptively extracted through a learning training mode by the convolution neural network theory in deep learning, synchronous positioning and fault determination of multiple faults can be performed, and high effectiveness and high robustness are achieved.

In order to improve the running stability of a system, an excitation mechanism is necessary to facilitate a terminal node to stably and truthfully contribute resources and perform teamwork, namely, the node is facilitated to flow from an unreliable end node layer to a reliable end node layer. The invention discloses a cloud money-based hierarchical cloud computing system excitation method. In the method, the principles of simplicity, high efficiency, low overhead and easy implementation are taken as main ideas; the train of thought of remuneration according to work in the human society is borrowed; and a cloud money-based reliable end node excitation mechanism is disclosed, which excites the node to actively provide services by adopting virtual money named as cloud money. Therefore, distributed payment in a cloud computing environment is realized, the end node can more stably and truthfully provide personal resources to finish assigned tasks, the function of the end node in an outer cloud layer is maximally developed and the system is finally optimized.

A bias generation method or apparatus defined by any one or any practical combination of numerous features that contribute to low noise and/or high efficiency biasing, including: having a charge pump control clock output with a waveform having limited harmonic content or distortion compared to a sine wave; having a ring oscillator to generating a charge pump clock that includes inverters current limited by cascode devices and achieves substantially rail-to-rail output amplitude; having a differential ring oscillator with optional startup and/or phase locking features to produce two phase outputs suitably matched and in adequate phase opposition; having a ring oscillator of less than five stages generating a charge pump clock; capacitively coupling the clock output(s) to some or all of the charge transfer capacitor switches; biasing an FET, which is capacitively coupled to a drive signal, to a bias voltage via an “active bias resistor” circuit that conducts between output terminals only during portions of a waveform appearing between the terminals, and/or wherein the bias voltage is generated by switching a small capacitance at cycles of said waveform. A charge pump for the bias generation may include a regulating feed back loop including an OTA that is also suitable for other uses, the OTA having a ratio-control input that controls a current mirror ratio in a differential amplifier over a continuous range, and optionally has differential outputs including an inverting output produced by a second differential amplifier that optionally includes a variable ratio current mirror controlled by the same ratio-control input. The ratio-control input may therefore control a common mode voltage of the differential outputs of the OTA. A control loop around the OTA may be configured to control the ratio of one or more variable ratio current mirrors, which may particularly control the output common mode voltage, and may control it such that the inverting output level tracks the non-inverting output level to cause the amplifier to function as a high-gain integrator.

The design of a compact, high-efficiency, high-flux capable compact-accelerator fusion neutron generator (FNG) is discussed. FNG's can be used in a variety of industrial analysis applications to replace the use of radioisotopes which pose higher risks to both the end user and national security. High efficiency, long lifetime, and high power-handling capability are achieved though innovative target materials and ion source technology. The device can be scaled up for neutron radiography applications, or down for borehole analysis or other compact applications. Advanced technologies such as custom neutron output energy spectrum, pulsing, and associated particle imaging can be incorporated.

A high performance and cost effective method of RF-digital hybrid mode power amplifier systems with high linearity and high efficiency for multi-frequency band wideband communication system applications is disclosed. The present disclosure enables a power amplifier system to be field reconfigurable and support multiple operating frequency bands on the same PA system over a very wide bandwidth. In addition, the present invention supports multi-modulation schemes (modulation agnostic), multi-carriers and multi-channels.

Disclosed is an integrated graphene film-enhanced display device, comprising: (a) a display device which comprises one or multiple heat sources and a back surface where a localized area is at a higher temperature than an adjacent area; and (b) a heat spreader which comprises at least one sheet of integrated graphene film having two major surfaces, wherein one of the major surfaces of the heat spreader is in thermal contact with one or multiple heat sources and further wherein the heat spreader itself reduces the temperature difference between locations on the display device. The integrated graphene film, either a graphene film obtained from a graphene oxide gel or a graphene composite film formed of graphene oxide gel-bonded nano graphene platelets (NGPs), exhibits highest thermal conductivity and highest effectiveness in reducing hot spots in various kinds of display devices.

The invention discloses an efficient massive remote sensing data distributed organization and management method, and the steps are as follows: (1) the first step: a remote sensing image pyramid is constructed according to an original remote sensing image resolution; (2) each layer of the remote sensing image pyramid is cut into blocks based on a Tile technology, and small blocks of images Tiles are formed; (3) based on a file storage system, a layered directory storing structure is built to store the small blocks of images Tiles in the second step; (4) according to the level of a given original remote sensing image and the latitude and longitude coordinate values of a location point, the name of the belonged Tile and the relative storage path of the Tile are calculated, and the quick query and acquisition service of the remote sensing data is realized; and a storage system stores the small blocks of images Tiles in the second step by building the layered directory storing structure; and (5) the architecture of a distributed storage system is adopted to store and manage the layered directory and the small blocks of images Tiles. The method of the invention can be used for effectively storing and managing the remote sensing data which are massive and have multiple sources, multiple resolutions and multiple wave bands, wherein, the layered directory storing structure has the advantages of simple and flexible structure, and easy and convenient data location, and can provide the quick query and acquisition of the remote sensing data, thus being provided with high effectiveness.

The invention relates to a target localization and tracking system and a method. The system comprises a plurality of cluster localization modules and command control modules, each cluster localizationmodule comprises a plurality of sensor nodes and cluster head nodes, and each cluster head node comprises an initialization module, a particle filtration module, a particle weight calculation module,a re-sampling determination module and an estimation target state module. The method which combines Kalman and particle filtration is adopted for realizing the passive localization of a target, and the computation speed is far lower than the particle filtration method on the basis of realizing high-precision localization; the localization and the track of the target is finally realized by adopting multiple sensors and being based on the observation of the direction of the target, thereby being capable of overcoming the constraint that the traditional machine-mounted or ship-mounted single station system must carry out motorization during the observation period, having no need of observing the motorization of a platform, improving the flexibility of target localization, greatly increasingthe area of a region of target monitoring localization, avoiding the shortcoming of existence of localization blind regions and having very high effectiveness, accuracy and feasibility.

The present invention relates to a Chinese medicine of incense, and particularly to a Chinese medicine of incense which can execute indoor air sterilization and prevent and cure common cold. The Chinese medicine of incense is prepared by the following raw materials: folium artemisiae argyi, rhizome atractylodis, angelia, ageratum, cyrtomium rhizome, isatis root, ledebouriella root, honeysuckle flower, clove, cortex moutan, fennel, cacumen biotae, herba eupatorii, forsythia suspensa, herba schizonepetae, nard, liquorice, cassia twig, folium isatidis, chrysanthemum, abrotanum, pericarpium granati, magnolia officinalis, prunella spike, groomwell root, cimicifuga foetida, lavender and vegetation powder. The Chinese medicine of incense according to the invention has the advantages of high effectiveness, reliable safety, no toxic or side effect, no excitation, easy operation, etc. The Chinese medicine of incense is a more ideal object for sterilizing indoor air.

The invention provides an eye precision orientation technology in the field of human face identifying. It is characterized in that it provides an eye precision orientation method on complex background image. It adopts a micro structure character with high efficiency and high redundant to express eye mode local and area grey distributing character and uses AdaBoost computing method to choose the most differential micro structure character to form the strong classer.

The invention provides a public information intelligent analysis platform based on big data analysis and mining. The public information intelligent analysis platform comprises a big data preprocessing module, an intelligent analysis module and an information presentation module. The big data preprocessing module is used for storing and preprocessing enterprise information via a clouded mode. The intelligent analysis module is used for performing event cause and effect analysis, assessment of the overall situation of the company and future trend prediction and returning analysis results to an upper layer by comprehensively utilizing the preprocessed data according to data analysis tasks transmitted by the upper layer. The information presentation module is used for generating the data analysis tasks to the intelligent business analysis module and receiving the returned results, presenting the analysis results of the intelligent analysis module and providing an operation interface to a user. Intelligent analysis is performed on mass data in enterprise operation by adopting a clustered computing method via flexibly establishing and configuring analysis models so that problems of poor real-time performance, high effectiveness and interactivity of a conventional data processing method are solved, the user is assisted to perceive the enterprise situation in real time and thus enterprise management efficiency and business processing level are enhanced.

The invention provides a real-time three-dimensional double-hand gesture recognition method and system based on binocular vision. The real-time three-dimensional double-hand gesture recognition method based on binocular vision comprises the steps that initial calibration and correction are conducted on an image firstly, the outline of a gesture is extracted, two-dimension gesture recognition is conducted on the extracted gesture outline, the mass center of the gesture outline is calculated, stereo matching is conducted on the mass center obtained through calculation, three-dimensional hand gesture recognition is achieved, and corresponding gestures are displayed in a human-computer interaction module based on the three-dimensional hand gesture recognition. According to the real-time three-dimensional double-hand gesture recognition method and system based on binocular vision, binocular vision information can be utilized, and human-computer interaction, based on the three-dimensional space, of double-hand gesture change of a computer is achieved; meanwhile, extremely high real-time performance and extremely high effectiveness can be achieved, and requirements for hardware are lowered; in addition, the man-machine interaction effect is achieved, and the requirements for real-time performance and effectiveness are well met.

The present invention provides a Spark based high efficiency text classification method. The method comprises: constructing an HDFS file system with a virtual machine and a Spark platform on a physical server, and uploading a data set into the HDFS file system; enabling the Spark platform to read data from the HDFS file system, and converting the data into RDD and storing the RDD into a memory; dividing all tasks into different stages, and then running each task; preprocessing the RDD; performing training; and testing a classification model. The method provided by the present invention makes up the defects of a naive Bayes model and further improves the processing speed; the method also effectively promotes data mining and machine learning and promotes conversion from a conventional data mining algorithm to a parallel data mining algorithm; the method improves classification precision of improving the Bayes algorithm; the method promotes improvement of a Spark platform based algorithm; and finally, the method improves cluster resource utilization.

Biological nutrient removal (BNR) in municipal wastewater treatment to remove carbonaceous substrates, nutrients and phosphorus, has recently become increasingly popular worldwide due to increasingly stringent regulations. Biological fluidized bed (BFB) technology, which could be potentially used for BNR processes, can provide some advantages such as high efficiency and compact structure. This present invention incorporates the fixed-film biological fluidized bed technology with the biological nutrient removal in a liquid-solid circulating fluidized bed, which has achieved the simultaneous elimination of organic carbon, nitrogen and phosphorus, in a very efficient manner and with very compact space requirements. The BNR-LSCFB has two fluidized beds, running as anoxic/anaerobic and aerobic processes to accomplish simultaneous nitrification and denitrification and to remove carbonaceous substrates, nutrients and phosphorus, with continuous liquid and solids recirculation through the anoxic/anaerobic bed and the aerobic bed. The new BNR-LSCFB system is not only an excellent alternative for conventional activated sludge type BNR technologies but is also capable of processing much higher loadings and suitable for industrial applications.

The invention discloses a garment identification method and system for a low-resolution video. The garment identification method is based on a space-time classifier fusion technology and specifically comprises the following steps of: extracting foreground images from a video stream, and extracting contour information on moving objects in the foreground images; carrying out identification on moving human objects according to the extracted contour information; carrying out multi-point feature identification treatment on different subblocks of the same human object in an image of the same frame in the video stream, and carrying out voting judgment on an identified result; and carrying out voting judgment on identified results for the same human object in multi-frame images in the video stream, and finally, determining the categories of the garments for the moving human objects. With the adoption of the space-time classifier fusion technology-based method disclosed by the invention, the categories of the garments and the identities of the human objects are finally determined through carrying out judgment on the garment features of the same moving object in a plurality of video frames based on motion detection, human body identification and garment identification, and thus, the aim of high-efficiency, high-quality and high-accuracy identification of the identities and the garments is achieved.

Methods and apparatus are disclosed to reduce the size, weight, and heat loss of power modules mountable in loudspeakers. Disclosed embodiments replace conventional linear technology with high frequency switching technology in both the power supply and amplifier. In these embodiments Class-D switching occurs at a low and fixed frequency, using standard components, with audio performance improvements through adaptation of internal error correction. By permitting 100% modulation, maximum output power is obtained, and a simple clip-detecting scheme is possible. A half-bridge and full-bridge with a single main supply reservoir is disclosed, obtaining useful allocation of output power while enabling the use of a simplified power supply. Power supply improvements include simplification and high efficiency, while meeting the particular system requirements of this scheme. Advantages include: increased acoustic output, reduced distortion, wider frequency range, smaller and lighter speaker housings, and lower cost.

A handheld device ( 12 ) integrates personal information scheduler ( 252 ) with a program list view ( 250 ) selection and operation of a wide variety of media devices. Specifically, the handheld device ( 12 ) includes a database containing program content downloaded during the vertical blanking interval (VBI) or from the Internet ( 174 ). Viewing the EPG database and personal calendar simultaneously, the user incorporates program into his/her personal schedule for viewing or recording. Further, the device is capable of analyzing usage patterns to set defaults of the handheld device, and other devices under its control, according to user preferences.

The invention discloses a server load balance method based on the strategy, solving the problem that the prior content transport network is incapable of knowing the differences of servers, learning the current statuses of the servers, and leading the customer to the equipment which has a lighter load. The server load balance method based on the strategy includes the steps as follows: (1) the turn process records the load condition of each server; (2) when the customer demands to the service, the invention chooses the server which has the lightest load serving for the customer. The present invention provides a high efficiency load balance method and has a low cost, making the whole loads in the node are distributed uniformly, achieving a real load balance.

The invention provides a hadoop-platform-based method for improving video transcoding efficiency and relates to hadoop-platform-based technologies for improving video adaptive technology efficiency. The hadoop-platform-based method for improving the video transcoding efficiency comprises subjecting a video file to storage segmentation processing through a hadoop platform; subjecting video clips generated by segmentation to FFmpeg (Fast forward moving pictures experts group) transcoding; and consigning transcoding results to an HDFS (Hadoop Distributed File System) for video clip combination, and accordingly transcoding tasks of a large amount of video data can be completed efficiently. According to the efficient video transcoding of the hadoop-platform-based video adaptive technology, the video transcoding speed is fast, the network bandwidth traffic consumption is low, the load balancing processing is appropriate and the transcoding time consumption is reduced significantly.