489 results about "Radon" patented technology

The present invention provides an improved method and system for controlling an HVAC system for managing multiple indoor air quality (IAQ) parameters. An acceptable range is defined for each of the IAQ parameter. The parameters are then monitored by sensors within a controlled space. The parameters may comprise temperature, humidity, smoke, radon, VOCs, carbon dioxide, carbon monoxide, particulates, hydrocarbons, oxygen, ozone, and odors. The invention maintains the IAQ parameters within their respective acceptable ranges by automatically manipulating certain HVAC system functions including heating, cooling, humidification, dehumidification, ventilation, addition or removal of materials or compounds which affect IAQ parameters, airflow volume and air recirculation. In one embodiment of the invention, a non-HVAC-specific venting system is used to augment HVAC adjustment of airflow volume and air recirculation. This may include bathroom, kitchen and attic venting systems as well as whole-home vacuum systems.

The invention relates to a radar moving target Radon-fractional Fourier transform (RFRFT) long-time phase-coherent accumulation detection method, and belongs to the technical field of radar signal processing and detection. The radar moving target Radon-fractional Fourier transform long-time phase-coherent accumulation detection method includes steps of 1), performing range demodulation and pulse pressure for radar echo to complete intra-pulse accumulation; 2), initializing parameters; 3), completing long-time inter-pulse phase-coherent accumulation by RFRFT compensation distance and Doppler frequency migration; 4), traversing all search parameters and creating a distance-RFRFT domain detection unit graph; 5), performing constant false alarm rate detection for the detection unit graph; and 6), estimating movement parameters of a target and outputting movement point traces. The radar moving target Radon-fractional Fourier transform long-time phase-coherent accumulation detection method has the advantages that amplitude information and phase information of the echo of the moving target are simultaneously utilized for long-time phase-coherent accumulation, the distance and the Doppler frequency migration in a long-time accumulation procedure are compensated, background clutter and noise are effectively suppressed, an accumulation gain is increased, dim moving targets in the heavy cluster can be detected, the movement point traces of the target can be acquired, and the method has popularization and application value.

The invention relates to identification, image processing and the like, in particular to an artificial neural network-based multi-source gait feature extraction and identification method, which aims to reduce inferences with external factors such as complex background and shelters so as to more accurately extract the effective information reflecting the walking characteristics of the moving people and improve the gait identification accuracy. The technical scheme of the invention comprises the following steps: separately acquiring the gait data by using a camera and a pyroelectric infrared sensor; extracting the skeleton feature parameter and Radon change peak characteristic parameter from the image source information acquired by the camera, and for the pyroelectric infrared source information, converting an acquired voltage signal into frequency domain characteristic parameter; merging the skeleton feature parameter, the Radon change peak feature parameter and the frequency domain characteristic parameter which are subjected to dimension reduction and corresponding signal process; and finally, realizing classified identification of the merged characteristics by using a BP neutralnetwork as the classifier and evaluating the identification effect. The method is mainly applied to identification.

The invention provides methods for the measurement of carbon dioxide leakage from sequestration reservoirs. Tracer moieties are injected along with carbon dioxide into geological formations. Leakage is monitored by gas chromatographic analyses of absorbents. The invention also provides a process for the early leak detection of possible carbon dioxide leakage from sequestration reservoirs by measuring methane (CH4), ethane (C2H6), propane (C3H8), and / or radon (Rn) leakage rates from the reservoirs. The invention further provides a method for branding sequestered carbon dioxide using perfluorcarbon tracers (PFTs) to show ownership.

The current invention is an automatic AC power interruption system built into a portable power strip or a portable casing or integrated into an appliances control circuitry. The invention monitors the environment for hazard alarms, for example, a T3 signal smoke detector alarm, and responds by tripping open the power supply circuit to the power strip's receptacles and thus interrupts AC power to the protected appliances the user has chosen to plug into them. One alternate form of the invention uses a portable casing that can be plugged into a power receptacle and, when a hazard alarm is detected, trip off the nearest GFCI. Other alternate forms of the invention are integrated within an individual appliance's control circuitry and may interrupt power using a built-in switch or by tripping off the nearest GFCI device. The invention's purpose is to help prevent death, injury, and property damage by preventing fires or facilitating fire suppression; more particularly, by interrupting electrical power to problematic appliances, such as toasters, space heaters, battery chargers, stoves, and motors, when a hazardous condition alarm is emitted. It further interrupts power to the problematic appliances when a detector emits an alarm indicating toxic fumes, natural gas, radon, carbon monoxide, or whatever other detector-alarm the consumer installs in the area to be protected.

The invention relates to a method for extracting and processing gait feature information and identifying identification when people walk, and aims at reducing interference of external factors such as a complicated background and the like, realizing better adaptivity to reality conditions, more exactly extracting effective information which can reflect the walking feature of a motion human body so as to improve accuracy of gait identification. The technical proposal of the invention provides the method for gait information processing and identity identification based on a fusion feature. The method comprises the following steps: inputting a video sequence, segmenting profile information of a body object in a video image by target detection, synchronously extracting gait feature parameters by adopting boundary center distance and Radon conversion, carrying out corresponding post processing on the obtained feature parameters, taking a support vector machine as a classifier for classification identification, and evaluating the identification effect. The method is mainly applied to identity identification based on the gait feature information.

The superfine compound active adsorbing indoor air purifier is prepared through mixing attapulgite or sea-foam via activation and superfine processing, clay and zeolite in certain proportion, polymerization, pelletizing and stoving, and further mixing with granular active carbon in certain ratio. The air purifier has great specific surface area and rich and complicated molecular pores in the size matching molecules of benzene, toluene, xylene, formaldehyde, ammonia, radioactive radon and other pollutant, so that the harmful molecules are adsorbed in the purifier owing to van der Waals force and the air is purified.

The invention relates to a method for measuring the precipitation rate of radon, which comprises a measuring step and a calculating step. A radon collection cover is covered on the surface of a medium to be tested or the medium is put in the radon collection cover, a group of radon concentration data is obtained after measuring at time intervals, and the radon concentration data obtained by measure are fitted in a nonlinear way to obtain the precipitation rate of radon according to a formula (9); or measure data after 20 min are fitted in a nonlinear way to obtain the precipitation rate of radon according to a formula (10).

Methods for the removal of alkaline and sulfate scales from aqueous saline streams such as seawater, oil-gas fields produced waters, formation waters, and the like. Such processing methods can also be extended for the simultaneous removal of hydrogen sulfide, and / or sulfur dioxide, and / or oxides of nitrogen, and / or carbon dioxide from gaseous streams. The same processing concept with modified methods can further be employed for the removal of gases such as radon, hydrogen sulfide, sulfur dioxide, oxides of nitrogen, and carbon dioxide from gaseous streams.

The invention relates to a sea surface micro-motion target Radon-linear contact transformation (RLCT) long-time phase-coherent accumulation detecting method which belongs to the technical field of radar signal processing and detection. The method comprises the following steps: (1) performing demodulation and pulse compression on radar echo, and completing calculation in pulse; (2) pre-judging sea conditions and detection target types and determining long-time phase-coherent accumulation parameters; (3) adopting RLCT compensation distance and Doppler migration and calculating micro-motion target signal energy; (4) viewing and searching parameters and establishing a distance-RLCT area detection unit graph, and carrying out constant false-alarm detection on the distance-RLCT area detection unit graph; and (5) evaluating micro-motion feature parameters, and outputting motion trace points. The sea surface micro-motion target Radon-linear contact transformation long-time phase-coherent accumulation detecting method applies sea surface target micro-motion features to target detection, meanwhile utilizes range and phase information of the echo to perform long-time phase-coherent accumulation to carry out long-time phase-coherent accumulation, effectively compensates distance and the Doppler migration, improves accumulation gain, has the capacity to detect a micro-motion target in strong clutter, can obtain the motion trace points of the target, and has popularization application value.

The invention relates to a radar slightly-moving target detection method based on a Radon-linear canonical ambiguity function (RLCAF) and belongs to the technical field of radar signal processing and detection. The radar slightly-moving target detection method based on the RLCAF comprises the following steps that (1) demodulation and pulse pressure are conducted on a radar echo in the distance direction so that in-pulse accumulation can be completed; (2) the type of a target to be detected is predicted, and parameters are initialized; (3) the distance and Doppler migration are compensated through the RLCAF and signal energy of a slightly-moving target is accumulated; (4) the parameters are traversed and searched, an RLCAF domain detection unit figure is established, and constant false-alarm detection is conducted; (5) target moving parameters are estimated and moving trace points are output. According to the radar slightly-moving target detection method based on the RLCAF, the advantages of an ambiguity function and the advantages of linear canonical transformation are combined, non-uniform velocity translational motion target signals or turning target signals can be flexibly matched and accumulated in a clutter background, the signal-to-clutter ratio is improved, range migration can be compensated through the extraction of a target observation value in a distance-slow-time plane, phase-coherent accumulation for a long time is completed, the detection capacity of radar to the slightly-moving target is improved, and therefore the radar slightly-moving target detection method based on the RLCAF is wide in applicability.

A method of reconstructing an image function on the basis of a plurality of projection profiles corresponding to a plurality of projection directions through a region of investigation, each projection profile including a series of value positions, wherein measured projection values corresponding to projection lines parallel to the respective projection direction are assigned to respective value positions and a plurality of remaining value positions are empty, comprises the steps of (a) assigning first interpolation values to the empty value positions for constructing a plurality of interpolation profiles on the basis of the projection profiles, wherein the first interpolation values are obtained from a first interpolation within a group of measured projection values having the same value position in different projection profiles, and (b) determining the image function by applying a predetermined reconstruction algorithm on the interpolation profiles.

The present invention provides an enhanced millipore filtering film and a method, device for preparing, the enhanced millipore filtering film includes a non-woven fabric as substrate, employing casting wipe way, casting film liquid is applied on the front and the back surfaces of the non-woven fabric, two layer film is formed by gelatin, characterized in that the thickness of the non-woven fabric is 30-120 micron, planar density of the non-woven fabric is 30-100g / m2, thickness of each film layer is 5-10 micron; casting film liquid in two film layer is composed by mixing a polymer resin, an organic solvent and an additive; parts by weight of the polymer resin in the casting film liquid, parts by weight of the organic solvent : parts by weight of the additive is 5-40:40-90: 0.5-50. The enhanced millipore filtering film of the invention is applied in the sampling monitor or filter of alpha radioaerosol under the high radon environment.

The invention relates to a method and device for determining radon gas separation in the load coal fracture process. The method comprises the following steps: (1) preparing a coal sample into a test piece, installing the test piece between an upper pressure head and a lower pressure head of a three-axis compressor, and arranging a heat shrink tube outside the test piece in a sleeving manner; (2) vacuumizing a sample chamber formed by the upper pressure head, the lower pressure head and the heat shrink tube in an enclosing manner, then continuously introducing carrier gas into the sample chamber; (3) after the coal sample test piece absorbs the carrier gas in a balanced manner, applying a confining pressure and an axial pressure to the test piece, starting the recording of an acoustic emission signal in the determining process; (4) opening an air outlet duct of the sample chamber, collecting gas released from the sample chamber, determining the content of radon in the gas; (5) closing the gas outlet duct of the sample chamber to ensure that the coal sample test piece absorbs the carrier gas again in the balanced manner, increasing the axial pressure; and (6) repeating the steps (4) and (5) until the test piece is damaged, and stopping the recording of the acoustic emission signal.

A “globally invariant Radon feature transform,” or “GIRFT,” generates feature descriptors that are both globally affine invariant and illumination invariant. These feature descriptors effectively handle intra-class variations resulting from geometric transformations and illumination changes to provide robust texture classification. In general, GIRFT considers images globally to extract global features that are less sensitive to large variations of material in local regions. Geometric affine transformation invariance and illumination invariance is achieved by converting original pixel represented images into Radon-pixel images by using a Radon Transform. Canonical projection of the Radon-pixel image into a quotient space is then performed using Radon-pixel pairs to produce affine invariant feature descriptors. Illumination invariance of the resulting feature descriptors is then achieved by defining an illumination invariant distance metric on the feature space of each feature descriptor.

The present invention provides for a process for preserving biological material. The process comprises subjecting the biological material to a fixation process and then packaging the biological material in a container under a controlled atmosphere of noble gas. In the process, the controlled atmosphere of noble gas utilized comprises one or more noble gases selected from argon, xenon, helium, neon, krypton and radon. The process optionally also utilizes one or more additional gases selected from nitric oxide, hydrogen, hydrogen sulfide, carbon monoxide, carbon dioxide, nitrogen and oxygen. This process allows for the long term storage of the biological material.

A method of reconstructing an (n+1)-dimensional image function ƒ representing a region of investigation comprises determining the image function ƒ from n-dimensional or less dimensional Radon data comprising a plurality of projection functions pθ(t) measured corresponding to a plurality of predetermined projection directions (Θ), wherein the image function ƒ is determined as a sum of polynomials multiplied with values of the projection functions pθ(t). Imaging methods, imaging devices, and computer tomography devices using this reconstruction method are described.

The present invention relates to a far-infrared ray generator, which is suitable for warming a human body partially or as a whole, and an object of the present invention is to effectively warm a deep part of a human body even at relatively low temperature by the far-infrared ray generator having high efficiency of generating far-infrared rays. In the present invention, far-infrared ray means, which generates far-infrared rays upon being heated by a heating element and which is used in a thermotherapy apparatus, includes a far-infrared ray generating member comprising only a radon generating rare element mineral or at least two of a tourmaline mineral, carbon and a radon generating rare element mineral so as to attain effective reaching of far-infrared rays to the deep part of the human body and warming said part. The far-infrared ray generating member may be applied to, for example, trowel-shaped, vibration-type and dome-shaped thermotherapy apparatuses.

The invention relates to a method for detecting a radar weak moving target based on PD (Phase Differentiation) RLVD (Radon-Lv Distribution), and belongs to the technical field of radar signal processing and detecting. The method comprises the following steps: first, performing PD operation on a demodulated and pulsed radar echo, and reducing the order of a cubic phase signal related to slow time to obtain a secondary phase signal; then, performing RLVD operation to finish long-time phase-coherent accumulation, including Radon-instantaneous auto-correlation operation, scaling treatment and Radon-Fourier transform; finally, establishing a PD-RLVD domain detection unit figure, performing constant false-alarm detection and estimating a target movement parameter. By the method, a target observation value is extracted from a distance-slow time plane to compensate distance migration to finish the long-time phase-coherent accumulation; an additional parameter is not required to be set to match a moving target signal, high-order phase signal energy can be accumulated, and a peak value corresponds to modulation frequency and secondary modulation frequency; therefore, the method is suitable for detecting a uniformly accelerated or high-order complex moving target under a strong clutter background.

Paint filler pastes or powders for interior and exterior walls that can purify the air, prepared from the following raw materials: 10-20 portions of tourmaline, 800-1000 portions of talcum powders, 20-40 portions of hydroxymethyl cellulose, 0.4-0.8 portions of formaldehyde, and 300-500 portions of water. The advantages of this invention are: 1. This product has such functions as antisepsis and air-purification, and can remove indoor toxic gases, e.g., formaldehyde, ammonia, radon and benzene. 2. Since the tourmaline can emit 4-14ª–m highly active far-infrared ray, the 0.06MA bio0current thus produced can match the 0.06MA human body bio-current. Therefore, this invention is also good for human health.

The invention discloses a high-sensitivity alpha energy spectrum measuring method of radon concentration in air by using a radon and daughter collecting device, an alpha ray semi-conductive detector, a temperature and humidity measuring module, a circuit system, a man-computer interface and a computer data analysis system. The sensitivity surface of the alpha ray semi-conductive detector is arranged in a cavity of the radon and daughter collecting device, and the alpha ray semi-conductive detector, the temperature and humidity measuring module and the man-computer interface are connected with the circuit system which is connected with the computer data analysis system through a USB (Universal Serial Bus) interface. The method collects radon in the air by adopting a static diffusion mode, absorbs radon charged daughters by adopting a high-pressure electrostatic mode, distinguishes radon-thorium daughters by utilizing the alpha ray semi-conductive detector to measure air radon concentration through alpha energy spectrum measurement and correct influence on the measurement of radon concentration by adopting a temperature-humidity synchronous measuring mode. The method is suitable for the fields of monitoring radon level and controlling pollution in the indoor radiation environment of civil constructional engineering, monitoring radon concentration in mines and tunnels, and the like.

The invention belongs to the technical field of uranium resource prospecting methods, and particularly relates to a method capable of effectively detecting deep uranium mineralization information. The method comprises the following steps of (1) setting measuring points in a working area, placing an activated carbon detector on the ground at each measuring point, simultaneously digging a round pit in the ground at each measuring point, and burying an activated carbon detector in each round pit; (2) taking out the ground and underground activated carbon detectors at each measuring point, and measuring radon concentration values on the ground and at an underground depth h; (3) calculating a perpendicular change gradient value G of radon concentration at each measuring point; (4) calculating a radon concentration value at a burial depth of 40cm at each measuring point; (5) calculating a mineralization information index Ei corresponding to an ith measuring point; (6) identifying advantageous areas for deep uranium mineralization by adopting a concentration and frequency fractal method; (7) determining areas with mineralization information indexes E greater than pm as the advantageous areas for uranium mineralization according to identifiers, determined by the step (6), of the advantageous areas for uranium mineralization.

The anti-radon paint has the function of shielding and absorbing ray to lower the indoor radon density and avoid the harm of radon on human body. The present invention includes putty, primer and face paint, and features that the putty, the primer and the face paint include composite polymer latex, composite fiber, stuffing, anti-mildew agent, preservative, dispersant, rheologic agent, ARP5, ARG6 and ARB7 material.

Post-migration common image gathers (CIGs) are generated in a dip angle domain from measured seismic data. From a CIG, a hybrid Radon model is determined, including a reflection model related to concave features in the CIG and a diffraction model related to linear features in the CIG. The reflection model is transformed with a reflection Radon operator applied along inversion trajectories restricted around apices of the concave features to obtain reflection data. The diffraction model is transformed with a diffraction Radon operator to obtain diffraction data. The reflection and diffraction data at different horizontal positions can then be combined and summed to generate a migrated image of the subsurface.

The invention relates to a method for detecting a ship trail of an ocean synthetic aperture radar image. The method comprises the following steps: firstly, identifying and removing an extraordinary area from the image; performing histogram equalization treatment; and lastly, performing Radon conversion and converting the image so as to convert a linear structure in the image into a peak / valley point of a conversion domain, thereby detecting and obtaining the features of the linear structure in the image. According to the method provided by the invention, the ultra-bright or ultra-dark extraordinary area is automatically identified and is removed when a valid data template is generated, and then the problem of uneven brightness of the whole image is further solved by adopting the self-adaptive histogram equalization, and lastly, the normalizing Radon conversion is utilized to convert the weak linear ship trail in the complex ocean SAR (Synthetic Aperture Radar) image into the obvious peak / valley point in a transformation space, so that the effectiveness of the detection for the ship trail is greatly increased.

A discrete Radon projection and Mojette projection conversion method based on a fixed resolution is disclosed, which belongs to the technical field of computer imaging in the field of image processing. The discrete Radon projection and Mojette projection conversion method is characterized by converting a sparse angle discrete Radon projection under an actual imaging condition into a Mojette projection which is accurately reconstructed in a discrete domain. Based on the computer tomography imaging algorithm, Radon and Mojette projection scenes are simulated by constructing a reasonable imaging system; and after the relation between the Mojette projection and the Radon projection is analyzed in detail, a specific algorithm of converting the Radon projection into the Mojette projection under a corresponding projection vector at each projection angle on the premise of a given fixed resolution. The discrete Radon projection and Mojette projection conversion method has the effects and the benefits that at different sparse projection angles, the resolution of an Radon projection image does not need to be changed; the conversion disorder between variation of the resolution of a Mojette projection domain along with the projection vector and the constant resolution of the Radon projection is overcome; and a conversion bridge between the two projections is set up.

The present invention relates to the digital image processing technology, especially to a water level identification method based on binary coding character staff gauge and image processing. The water level identification method based on the binary coding character staff gauge and the image processing comprises: extracting the binary coding character staff gauge image key pixel, performing binary coding character staff gauge tilt correction through adoption of the Radon conversion algorithm; determining the left, the right, the upper and the lower edges of the binary coding character staff gauge; extracting the binary coding character staff gauge scale line; performing the location and the segment of the binary coding character representing the staff gauge measuring range; performing the binary coding character staff gauge measuring range identification through combination of the Hopfield nerve network and the template matching; and realizing the resolving of the water level value through adoption of the mathematical relationship of the binary coding character staff gauge scale line and the binary coding character staff gauge measuring range. The water level identification method based on the binary coding character staff gauge and the image processing is safe, efficient and small in investment.

The invention belongs to the technical field of ore deposit exploration, and particularly relates to a hydrothermal type uranium ore deep detection method. The method comprises the following steps: according to the ore-forming rule of a hydrothermal type uranium ore, determining the ore-forming perspective area; carrying out electromagnetic sounding through an audio earth electromagnetic instrument in a tensor or scalar measurement mode; carrying out total magnetic field intensity measurement and gradient measurement in the section continuous measurement working mode by means of a high-precision magnetometer; carrying out radon measurement in the air-exhaust measuring mode by means of a radon measuring instrument; according to above measurement results, obtaining the ore-forming environment information and the direct ore-forming information in combination with known geological data; and predicting the beneficial part of the uranium ore-forming process. According to the invention, the geological structure information of the uranium ore forming environment can be obtained, and the indirect ore exploration can be realized. Meanwhile, the direct information of the uranium ore forming can be obtained, and the direct ore exploration can be achieved. Compared with a traditional radioactivity measurement and ore exploration method, the accuracy and the efficiency of ore exploration areremarkably improved. Especially, the method has a good ore exploration effect for deep ore exploration.