Abstract: A method and system of two-point correction based on temperature substitution, includes: a black body related to the lens temperature is arranged outside a lens, a first black body arranged in front of the lens of an infrared thermal camera, so as to collect a gray value of the first black body; a temperature of the first black body being equal to the lens temperature; a second black body arranged in front of the lens of the infrared thermal camera, so as to collect a gray value of the second black body; a temperature of the second black body being higher than the lens temperature. Two correction parameters obtained by black body calculation related to temperature are strongly applicable, which eliminates the problem of image quality deterioration caused by temperature changes and greatly eliminates the pot lid phenomenon due to non-uniformity, thereby accurately calculating the corrected gray value.

Abstract: A voltage-to-time converter (VTC) for a time-domain analog-to-digital converter is disclosed, which provides a time-domain analog-to-digital converter (T-ADC) with low power consumption and high precision. By combining the advantages of current-starving technology, current mirror technology, and body biasing technology, compared with the traditional structure, the VTC and T-ADC achieve excellent performance, such as low power consumption, high linearity, wide input dynamic range, and strong anti-interference to PVT variations. Compared with the traditional voltage-to-time converter, the disclosed voltage-to-time converter has a wider input dynamic range and higher linearity. The input voltage is connected to transistors in the circuit as a body bias, resulting in a very small body current, and no apparent increase in power consumption. The design of a low-power voltage-to-time converter is realized.

Abstract: A two-way wireless relay transmission method suitable for multiple relay nodes proposes a transmission solution based on a Decode-and-Forward (DF) technology and Network Coding (Network Coding, NC) technology suitable for a two-way wireless relay network. The method has an advantage of achieving a maximum spectrum efficiency based on the DF technology, and proposes a retransmission-free error control solution to avoid a problem of error spreading brought about by the NC technology to obtain an effective transmission throughput that is superior to existing solutions.

Abstract: An analysis method for the causal inference of human physiological network in multiscale time series signals includes the following steps: S1: decomposing physiological signals u1, u2, . . . , um to be analyzed by using a noise-assisted multivariate empirical mode decomposition (NA-MEND) algorithm; S2: carrying out a causal analysis between two different physiological signals ui, uj, where i=1, 2, . . . , m, j=1, 2, . . . , m, and i?j, to obtain a causality between the two signals; and S3: repeating step S2 for any two signals in u1, u2, . . . , um until a causality between each two signals in u1, u2, . . . , um is obtained to form the causal network. The present invention can effectively analyze the causal network of the physiological signals, thereby facilitating the application of the physiological signals.

Abstract: An imaging device, an imaging control method, an electronic apparatus, and a readable medium. The imaging device comprises: an image sensing assembly; a liquid crystal lens assembly provided with light control components corresponding to an image sensing component, wherein each of the light control components comprises a first liquid crystal component and a second liquid crystal component, which are arranged opposite each other, and the orientation of liquid crystal molecules in the first liquid crystal component is perpendicular to the orientation of liquid crystal molecules in the second liquid crystal component; and a processing assembly, wherein the processing assembly is respectively electrically connected to the image sensing assembly and the liquid crystal lens assembly, and is configured to adjust, according to a light receiving amount measured by the image sensing assembly, the voltage applied to the light control component.

Abstract: A method is for analyzing the correlation between different line loss actions, which records, for each individual to which line loss actions occur, all the line loss actions that occur to the individual; and counts, based on two categorization manners: by individual and by line loss action, line loss actions recorded in the database, to obtain line loss action counting results corresponding to respective categorization manners; then, based on the two counting results, collects respective multi-line loss action sequences; and acquires probability data as a data source for probability calculation, to obtain line loss action occurrence conditional probabilities for different line loss actions, so that a targeted a targeted loss reduction plan can be formulated.

Abstract: A method for neighbor discovery in a wireless ad hoc network based on an adaptive antenna array includes: generating a synchronous SSS with a period length of n+?log2n?+1 timeslots, or generating a asynchronous SSS with a period length of 4n timeslots; labeling the n?log2n?+1 timeslots in each period of the synchronous SSS by 0, 1, . . . , n+?log2n?; labeling the 4n timeslots in each period of the asynchronous SSS by 0, 1, . . . , 4n?1; if the node is synchronized with its neighbors, representing the number of bit 0 in a binary sequence b0b1 . . . bn?1 by a (?log2n?+1)-bit binary sequence c0c1 . . . c?log2n?, and then appending the (?log2n?+1)-bit binary sequence c0c1 . . . c?log2n? behind the binary sequence b0b1 . . . bn?1 to generate an (n+?log2n?+1)-bit binary sequence b0b1 . . . bn?1c0c1 . . . c?log2n?; otherwise, extending the binary sequence b0b1 . . . bn?1 into a 4n-bit binary sequence; and based on the (n+?log2n?+1)-bit or 4n-bit binary sequence, generating the synchronous or asynchronous SSS.

Abstract: The present disclosure provides a method for processing an infrared image of a power device based on a measured temperature. The method includes: S1: acquiring grey data images of a power device at different environmental temperatures with an infrared thermal imager; and S2: constructing, according to the grey data images of the power device acquired at the different environmental temperatures with the infrared thermal imager in step S1, a machine learning (ML) temperature conversion model, and converting the grey data images at the different environmental temperatures into temperature data with the model. The method for processing an infrared image of a power device based on a measured temperature provided by the present disclosure greatly improves the practicability of the infrared image in the power device, and achieves a better processing effect than the conventional grey data imaging method.

Abstract: The present disclosure discloses an MXene-based terahertz wave broadband super-strong absorbing foam, and belongs to the technical field of electromagnetic functional materials. The MXene-based terahertz wave broadband super-strong absorbing foam includes a porous polymer foam and a MXene nanosheet attached onto the porous polymer foam, wherein the MXene nanosheet is attached onto the porous polymer foam in a coating form, a film forming form and a suspension form; the average pore diameter of the porous polymer foam ?500 ?m, the thickness of the porous polymer foam ?10 mm, and the filling mass of the MXene nanosheet is less than 50% of the mass of the absorbing foam.

Abstract: A key distribution method based on broadband physical random sources includes: utilizing a driving semiconductor laser to generate an optical signal, passing the optical signal through a phase modulator driven by a random signal and then equally dividing the phase-modulated optical signal into two identical paths, injecting the two identical paths into slave semiconductor lasers at both communication parties Alice and Bob's sides, respectively, to generate initial synchronized signals, using the generated initial synchronized signals as driving signals to phase-modulate optical signals generated by continuous-wave (CW) light sources, and inputting the modulated optical signals to dispersion modules; wherein after the modulated CW optical signals pass through the dispersion modules, two synchronized broadband noise-like random signals are generated, and then high-speed synchronized keys are generated by a post-processing method.

Abstract: A temporal domain rate distortion optimization based on video content characteristic and QP-? correction provides the temporal domain rate distortion optimization based on the video content characteristic and the QP-? correction for a new generation encoder AV1, wherein according to a previous temporal domain dependency relationship under an HEVC-RA coding structure, a feature of the new generation encoder AV1 and a video sequence feature, an aggregation distortion of a current coding unit and an affected future coding unit is estimated and to propagation factor of the current coding unit in a temporal domain distortion propagation model is calculated by constructing a temporal domain distortion propagation chain, wherein a Lagrange multiplier is adjusted through a more accurate propagation factor to realize a temporal domain dependency rate distortion optimization, and a relationship of QP-? is re-corrected and an I frame is adjusted to achieve a better coding effect

Abstract: A Li3Mg2SbO6-based microwave dielectric ceramic material easy to sinter and with high Q value, and a preparation method thereof are disclosed. A chemical formula of the material is Li3(Mg1-xZnx)2SbO6, wherein 0.02?x?0.08. The preparation method includes: 1) mixing and ball-milling Sb2O3 and Li2CO3 according to a chemical ratio and then drying, and conducting pre-sintering to obtain a Li3SbO4 phase; and 2) mixing and ball-milling MgO, ZnO and Li3SbO4 powder according a chemical ratio of Li3(Mg1-xZnx)2SbO6 and then drying, conducting granulation and sieving after adding an adhesive, pressing into a cylindrical body, and sintering the cylindrical body into ceramic in the air at 1325° C. and under normal pressure, wherein a dielectric constant is 7.2-8.5, a quality factor is 51844-97719 GHz, and a temperature coefficient of resonance frequency is ?14-1 ppm/° C.

Abstract: A three-dimensional folding self-driving flexible respiration monitoring sensor and the preparing method thereof is disclosed. In the present invention a first friction unit and a second friction unit are set on a bottom of the box, which comprise a substrate, a conductive electrode layer and a friction layer respectively; the second friction unit is fixed on the bottom of the box; a friction layer of the first friction unit faces a friction layer of the second friction unit; a back plate is set on a substrate of the first friction unit; a balloon is between the box and the back plate; an inlet tube connects the balloon and the box, which is on a side wall of the box; the conductive electrode layer of the first friction layer and the second friction layer are connected to the electrometer respectively. Micro-energy of the respiration is adopted to monitor the breathing.

Abstract: An optical device includes a first electrode layer, a first alignment layer, a liquid crystal layer, a second alignment layer, and a second electrode layer being arranged in turn along a light transmission direction; wherein the first electrode layer comprises a first electrode, a second electrode, and a first impedance membrane arranged between the first electrode and the second electrode, and the first electrode and the second electrode are respectively arranged on opposite ends of the first impedance membrane; the second electrode layer has a structure similar to that of the first electrode layer. The four electrodes form a light transmission hole being shaped as a parallelogram. The present invention solves the problem that the focal length of the liquid crystal lens cannot be accurately adjusted due to the instability of the impedance of the impedance membrane of the present liquid crystal lens.

Abstract: A one-step solution casting method for preparing a PVDF-based pyroelectric polymer film is provided, which belongs to the technical field of functional material preparation. The method comprises steps of: treating a substrate with a hydrophilic reagent to obtain a hydrophilically-modified substrate, and then casting the organic solution of polyvinylidene fluoride (PVDF) or its copolymer on the hydrophilically-modified substrate. After cured, the as-casted PVDF-based film shows pyroelectricity without undergoing any stretching or poling post-treatment, indicates that the dipoles of the one-step prepared film are aligned. The self-polarization of the prepared film is attributed to a hydrogen bond induced layer-by-layer electrostatic self-assembly growth mechanism. The method is simple, low cost, high efficient, high capability to produce thick and large-area film with smooth morphology and ease to be scalized.

Abstract: A temporal domain rate distortion optimization considering a coding-mode adaptive distortion propagation is provided. A problem of dependency rate distortion optimization based on a temporal domain distortion propagation is induced again according to a temporal domain dependency relationship under an LD structure and a distortion propagation analysis under a skip mode and an inter mode; and an aggregation distortion of a current coding unit and an affected future coding unit are estimated and a propagation factor of a coding unit in a temporal domain distortion propagation model is calculated by constructing a time propagation chain, wherein a Lagrange multiplier is adjusted through an accurate propagation factor to realize a temporal domain dependency rate distortion optimization, and an I frame is subjected to a secondary coding technology to realize the temporal domain dependency rate distortion optimization of the I frame.

Abstract: A preparation method of a three-layer self-healing flexible strain sensor includes steps of: preparing an encapsulating layer composite, so as to obtain a concentrated solution; preparing a strain sensitive layer composite, so as to obtain a thick liquid; dropping the thick liquid on a glass substrate, and statically curing at a room temperature; dropping the concentrated solution on a cured film obtained in the S3, and statically curing at the room temperature; striping a cured filmed obtained in the S4 from the glass substrate, and drawing out two wires as electrodes; and dropping the concentrated solution on the other surface of the cured film obtained in the S3 with a same amount of S4, and statically curing at the room temperature for obtaining the three-layer self-healing flexible strain sensor. The three-layer self-healing structure strain sensor can be prepared without using a repair agent, but can achieve rapid self-repair.

Abstract: A loop filtering method based on an adaptive self-guided filtering is mainly an adaptive self-guided filtering technology considering local structure information of an image, wherein a regularization coefficient is adjusted by calculating a weight coefficient of the regularization coefficient to realize the adaptive self-guide filtering, and then a region-level subspace mapping iterative optimization implemented on each region enables a mapping result of the each region to be optimal, wherein the mapping result of a whole image is closer to an original image. Beneficial effects of the loop filtering method are as follows: a filtering effect of a loop filtering is improved, a distortion effect of a reconstruction image is reduced and a reconstruction quality of a video frame is improved, wherein the reconstruction image is more favorable for a subsequent reference and a subjective and objective quality of the video is further improved.

Abstract: A key generation method based on a deep learning generative adversarial network includes: preparing a training set image; construction of a key generation network: constructing the key generation network according to a generator network and a discriminator network, and inputting the training set image to the key generation network; and training of the key generation network: training the key generation network by a deep learning method to generate a key.

Abstract: A low-temperature high-performance thermoelectric material possesses a chemical formula of (AgyCu2?y)1?xTe1?zSez, wherein ?0.025?x?0.075, 0.6?y?1.4, 0<z?0.25, diffraction peaks of a main phase of the thermoelectric material are indexed as a cubic structure at room temperature of 300 K, a highest ZT value between 300 K and 673 K is in range of 0.4 to 1.6, an average ZT value (ZT)avg is in range of 0.2 to 1.4. The highest ZT value of this material at the room temperature is comparable to that of Bi2Te3, which is an excellent complement to existing low-temperature thermoelectric materials. At the same time, the present invention also indicates a new strategy to improve the low-temperature thermoelectric performance of Cu2X-based (here, X is S, Se, Te) materials, and lays a foundation for the application of Cu2X-based materials in the field of low-temperature thermoelectricity.