11results about How to "Reduce aggression" patented technology

A range hood includes a box assembly and a fan frame installed on the top of the box assembly, a fan is installed inside the fan frame, a smoke inlet is provided at the bottom of the box assembly, the lower part of the fan extends into the box assembly, the fan is a centrifugal fan having a front air inlet and a rear air inlet, and correspondingly, a front air inlet channel and a rear air inlet channel are formed inside the box assembly, the smoke inlet is fluidly connected with the front air inlet through the front air inlet channel, and the smoke inlet is fluidly connected with the rear air inlet through the rear air inlet channel. The lower part of the fan of the range hood extends into the box assembly, and the fan adopts a front and rear double air inlet structure. After the fan suction port is placed downward, the suction port is closer to the smoke inlet, which is conducive to improving the oil fume extraction effect. Therefore, the oil fume extraction effect can be guaranteed by adopting a thin fan system, thereby reducing the thickness of the entire box, making the product a thin range hood in appearance, which can reduce the risk of users hitting their heads and reduce the sense of aggression during use.

The invention relates to a visual attention mobility anti-attack method based on self-adaptive token fine tuning, which comprises the following steps of: constructing a feature important matrix by utilizing a proxy model middle layer, and generating a semantic-guided sparse mask; performing token-level point multiplication on the sparse mask and the initialized disturbance, and performing linear superposition on the sparse mask and the initialized disturbance and an original image to serve as initial input data; inputting the input data into the agent model for iterative training; in each round of iterative training, sparse masks are continuously updated, the number of discarded tokens is gradually increased, and gradient variance between layers in an agent module is reduced through gradient back propagation by using a gradient penalty factor and a balance factor. Meanwhile, self-adaptive truncation factor sets are designed for different modules of the agent model to weaken the attention mechanism of the model, and through T times of iterative training, a target loss function is maximized to obtain optimal mobility disturbance. Experiments prove that the method has better attack effect and mobility on the attack of the target model.

The invention relates to a preparation method and application of an oxidation-resistant MXene material with a defect ordered hexagonal hole structure, and the preparation method comprises the following steps: mixing MAX phase Ti3AlC2 with hexagonal holes, CuCl2 and NaCl, loading into an alumina corundum square, covering with a NaCl salt bed boat, putting into a muffle furnace, and carrying out constant-temperature sintering at 820 DEG C in an air atmosphere for 3 hours; the method has the advantages that the process is simple and reasonable, a barrier for resisting attacks of oxygen molecules and water molecules is effectively constructed under the combined action of trace metal oxides on the surface of the MXene material, and the oxidation resistance of the MXene material is remarkably improved.

The present invention discloses an intelligent sound and light dispersing system, which is characterized by comprising: a sound and light dispersing device, a radar tracking device, an electric pan-tilt platform, a video recognition and acquisition device and a controller; wherein the video recognition and acquisition device comprises a network video server, a video acquisition front-end camera and a video monitor; the video acquisition front-end camera is arranged on the sound and light dispersing device; the sound and light dispersing device and the radar tracking device are both arranged on the electric pan-tilt platform; the controller is respectively connected to the sound and light dispersing device, the radar tracking device, the electric pan-tilt platform and the network video server. The intelligent sound and light dispersing system of the present invention can realize unmanned alert and dispersal.

The invention discloses a depth time-frequency denoising transformation defense method for a frequency spectrum monitoring model. The method comprises the following steps: step 1, constructing a depth time-frequency denoising transformation defense architecture comprising a depth denoising module, a transformation module and a pre-trained automatic modulation classification model; step 2, in a deep denoising module, short-time Fourier transform is used to map an input data sample into a time-frequency matrix, the difference between an original sample xs and an adversarial sample xa is amplified, and a time-frequency domain signal is reconstructed under the supervision of depth features extracted by a feature extractor; 3, inputting the reconstructed original sample and the confrontation sample into a transformation module, generating transformation matrixes Ms and Ma specific to the samples, and obtaining a transformed original sample # imgabs0 # and a transformed confrontation sample # imgabs1 #; and 4, inputting the transformed original sample # imgabs2 # and the transformed confrontation sample # imgabs3 # into a pre-trained automatic modulation classification model, and realizing the classification decision of the signal.

The present invention relates to C23C18, and more specifically, to a stable tin chemical plating solution and its application. The raw materials for preparing the plating solution include stannous salt, organic acid, thiourea accelerator and reducing agent, and the organic acid includes C1-C5 organic acid. The present invention provides a chemical plating solution, which can realize continuous tin plating under acidic conditions by using suitable thiourea accelerator and reducing agent, and realize higher smoothness and brightness on the tin layer with higher thickness. By adding suitable dispersant and organic acid, the stability of the plating solution can be improved while reducing the aggressiveness to ink. Through the joint action of the components of the plating solution provided by the present invention, a dense plating layer can be achieved at a faster plating speed, and the solderability of subsequent electronic components such as PCB boards can be improved.

The utility model discloses a patient walking stick capable of reducing aggressiveness, and aims to solve the technical problems that in the prior art, a wooden or metal stick is hard in texture and strong in aggressiveness, and injuries are caused when the wooden or metal stick is attacked by a walking stick. The patient crutch comprises a crutch body, a handle is installed at the top end of the crutch body, a screw hole is formed in the bottom end of the crutch body, a base is arranged below the crutch body, an installation hole is formed in the outer surface of the base, a screw is arranged in the installation hole and installed in the screw hole in a threaded mode, and an insertion hole is formed in the outer surface of the crutch body. Two rubber seats are sleeved outside the walking stick, the two rubber seats are fixedly connected through an anti-collision bag, a cavity is formed in each rubber seat, a through hole is formed in the inner wall of each rubber seat, and the through holes are communicated with the cavities. The injury condition caused by the attack of the crutch is relatively high.

The present invention relates to the technical field of membrane materials, and in particular to a copolymer containing a quinine structure and a preparation method and application thereof. The copolymer containing a quinine structure comprises the structure: #imgabs0#; Y 1 ~Y 5 are each independently selected from aryl, aralkyl, heteroalkyl, alkyl, perfluoroalkyl or absent, Ar 1 ~Ar 5 is independently selected from substituted or unsubstituted arylene, aralkylene, heteroalkylene, alkylene, perfluoroalkylene, heteroarylene or absent, Ar 6 ,Ar 7 R is independently selected from substituted or unsubstituted aryl, aralkyl, heteroalkyl, alkyl, perfluoroalkyl, heteroaryl or hydrogen; 1 ~R 10 Each is independently selected from hydrogen, alkyl, aryl, aralkyl, heteroalkyl, heteroaryl and perfluoroalkyl. The ion exchange membrane material prepared from the copolymer has excellent alkali stability and good conductivity, and the preparation method is simple and easy, and has great application potential in anion membranes of alkaline fuel cells.

The invention discloses a simple, practical and multifunctional mouse fixing device, which belongs to the field of mouse fixing devices. The mouse fixing device comprises a supporting base plate and two fixing mechanisms installed on the base plate for fixing the head and hip of the mouse; the cross section of the base plate is door frame-shaped, and the fixing mechanism can move laterally on the base plate; the positioning mechanism comprises a supporting plate with a door frame-shaped cross section, a connecting plate, a threaded rod and a dovetail fixing clamp; the supporting plate is slidably installed on the upper surface of the base plate; the connecting plate is located on the inner side of the supporting plate and is slidably connected with the supporting plate; one end of the threaded rod longitudinally penetrates the middle position of the upper surface of the supporting plate and is rotatably connected with the connecting plate, and the middle position of the upper surface of the supporting plate has a screw hole adapted to the threaded rod. The mouse fixing device can effectively fix the mouse, and can also fix mice of different sizes as needed, and is simple to operate and convenient to use.

The application discloses a kind of self-adapting micro-doppler corner point feature extraction method and device, comprising: it is proposed to use micro-doppler corner point feature to realize through-wall radar human behavior recognition, and gives a kind of self-adapting corner point feature extraction method based on Gauss difference convolution filter and deformable convolution network;Micro-doppler corner point feature is defined as the point that gray scale sharply changes in different directions in radar square distance-time image and square doppler-time image, reflects the inflection point of human body limb node's motion trajectory curve, stationary point, curve intersection and boundary;The corner point feature extraction method proposed uses Gauss difference convolution filter to extract micro-doppler corner point supervision label on simulation data, then trains μD-CornerDet model using these labels;Inference stage, only μD-CornerDet model is used to obtain corner point feature map for measured data;The application verifies the effectiveness and robustness of the proposed method through numerical simulation and measurement.

The invention relates to the technical field of membrane materials, in particular to a copolymer containing an imidazole and piperidine structure and a preparation method and application thereof, and the copolymer containing the imidazole and piperidine structure comprises the following structure: # imgabs0 #; y1-Y6 are independently selected from aryl, aralkyl, hetero-alkyl, alkyl and perfluoroalkyl or do not exist, Ar1-Ar3, Ar5 and Ar6 are independently selected from substituted or unsubstituted arylene, aralkyl, hetero-alkyl, alkylene, perfluoroalkylene and hetero-aryl or do not exist, and Ar4 and Ar7 are independently selected from substituted or unsubstituted aryl, aralkyl, hetero-alkyl, alkyl, perfluoroalkyl, hetero-aryl or hydrogen; r1 to R8 are respectively and independently selected from hydrogen, alkyl, aryl, aralkyl, heteroalkyl, heteroaryl and perfluoroalkyl. A membrane material prepared from the copolymer has better conductivity and stable physical and chemical properties, the preparation method is simple, and the application potential in alkaline fuel cell anionic membranes is huge.