202results about How to "Improve final performance" patented technology

A microfluidic system and method for sorting cell clusters, and for the continuous and automated encapsulation of the clusters, once sorted, in capsules of sizes suitable for those of these sorted clusters is provided. The microfluidic system comprises a substrate in which a microchannel array comprising a cell sorting unit is etched and around which a protective cover is bonded, and the sorting unit comprises deflection means capable of separating, during the flow thereof, relatively noncohesive cell clusters, each of size ranging from 20 μm to 500 μm and of 20 to 10 000 cells approximately, such as islets of Langerhans, at least two sorting microchannels arranged in parallel at the outlet of said unit being respectively designed so as to transport as many categories of sorted clusters continuously to a unit for encapsulation of the latter, also formed in said array.

The invention provides a countercheck method for automatically identifying a speaker aiming to voice deception, which is a voice anti-spoofing technology based on a method combining various features and a plurality of sub-systems. According to the invention, the serial features of the posterior probability of a phoneme in the phonological level and the MFCC features of voice level or MFDCC features of phase level are combined, thus the performance of the system is significantly enhanced. By combining the provided i-vector sub-system and OpenSMILE (open Speech and Music Interpretation by Large Space Extraction criterion containing voice and rhythmic information, the final presentation of the system is further enhanced. To a back-end model, the development datum are used; and under the situation of knowing deceptive attacks, a two-level support vector machine has better performance compared with one-level cosine similarity or PLDA evaluations, while the one-level evaluation approach has better robustness under the situation without seeing the test datum and knowing the deceptive conditions.

The invention discloses an optical flow estimation method based on multiple dimensioned corresponding structuring learning; under given successive video frames, the method can parse the motion conditions of the first frame relative to the second frame; the method specifically comprises the following steps: obtaining a successive frame image data set used for training optical flow estimation, and defining an algorithm object; carrying out structuring modeling for correspondences between two successive frame images in different dimensions; joint encoding the corresponding relations in different dimensions; building an optical flow estimation prediction model; using the prediction model to estimate the successive video frame optical flow values. The optical flow estimation method is applied to the optical flow motion analysis in true videos, and can provide better effect and robustness under various complex conditions.

The invention provides an electron blocking layer structure of a photoelectric device. The electron blocking layer structure is characterized in that structure matching between a quantum well and a P layer is achieved through adjusting a lattice structure and a band gap as much as possible; meanwhile, the formation of a polarized electric field is reduced, the formation of a negative charge area in an electron blocking layer is weakened as much as possible, and further the efficiency is improved; the electron leakage caused by energy band bending of the electron blocking layer and the increment of hole potential energy of the P layer are weakened. The electron blocking layer structure of the photoelectric device adopts AlInGaN or AlInGaN/InGaN super-lattice structure growth, wherein the In component is less than or equal to 10 percent; the Al component is less than or equal to 40 percent; the gradual distribution of the In component and the Al component exists in the electron blocking layer, and gradual change principles of the In component and the Al component are mutually independent; as for the electron blocking layer with an AlInGaN/InGaN super-lattice structure, the gradual change of the In component occurs in a super-lattice AlInGaN or a super-lattice AlInGaN/InGaN or in both the super-lattice AlInGaN and the super-lattice AlInGaN/InGaN.

An intravascular stent especially suited for implanting in curved arterial portions or ostial regions. The stent can include an end region which is fabricated to have a greater radial strength than the remaining axial length of the stent. Such a stent is particularly suited for use in ostial regions, which require greater support near the end of the stent. The stent alternatively can include sections adjacent the end of the stent with greater bending flexibility than the remaining axial length of the stent. Such a stent is particularly suited for use in curved arteries. The stent can also be constructed with an end that has greater radial strength and sections adjacent the end with greater bending flexibility. Such a stent prevents flaring of the stent end during insertion.

The invention discloses a reinforcement learning awarding method suitable for a movable mechanical arm. The method comprises the following steps that S1, a task scene, an initialization algorithm, various parameters of the movable mechanical arm and a deep network model corresponding to the algorithm are designed; S2, environment information sent by information collection equipment on the movablemechanical arm is reconstructed and rasterized, and a starting position and a target position of the movable mechanical arm are clear and definite; S3, interaction with the environment, training dataare collected and stored in an experience pond; S4, one batch of data is sampled from the experience pond, and through treatment of a reward function, rethinking rewards which are additionally designed are obtained for subsequent training; S5, original rewards and extra rewards are combined, and a deep reinforcement learning algorithm trains the movable mechanical arm to finish a target task in aplanned space; and S6, related training data and final model parameters obtained through training are recorded, and a corresponding optimal strategy is obtained.

The invention provides a low-temperature dyeing process of a fiber fabric. The low-temperature dyeing process comprises the processes of pretreatment, pre-sizing, dyeing, reduction clearing, fixing, softening treatment, drying, sizing, calendaring and rolling. In the dyeing process, the highest temperature does not exceed 100 DEG C, mild dyeing is carried out by using a gradual warming method and pH value regulation is carried out through a buffer solution, so that a proper acid environment required during the dyeing is satisfied and the dyeing effect is excellent; during the dyeing, a leveling agent is added to ensure that the dyeing is uniform; anhydrous sodium sulphate is added to postpone the dyeing process of the pigment and the temperature rises slowly at the same time, so that the uniform dyeing is ensured; a smoothing agent is added to prevent the scratching and local fibrillation; a penetrant and a diffusant are added to ensure that the penetration and the diffusion of the dyeing are relatively good; by means of the strict control in the aspects of temperature, acid, auxiliaries, time and the like, the low-temperature dyeing process of the fiber fabric has the advantages that the dyeing firmness is high, the dyeing is uniform, the dyeing stability is good and the effect is excellent at low temperature.

The invention relates to a heat-resisting flame-retardant fiberglass product for industrial heat preservation and a preparation method thereof. The preparation method of the fiberglass product comprises the following steps of: firstly evenly mixing all components in percentage by mass according to a gelatine prescription to prepare a glue solution, forming a coating on fiberglass cloth by adopting the glue solution in a coating or soaking cementing way, and finally drying and curing to obtain the fiberglass product; wherein the coating amount of the coating on the surface of the fiberglass cloth is 20 to 220g/m<2>, and the coating weight is 10 to 40 percent of the fiberglass product; and the gelatine is prepared by mixing all components. The finished product obtained after drying and sizing is used for heat insulation, flame retarding and heat preservation outside the wall of an industrial pipeline or a vessel, and is especially suitable for occasions which have higher requirements for heat preservation and flame retarding.

The invention discloses an adaptive configuration method for short-time variable big data job cluster scheduling. The method is a self-adaptive cluster scheduler configuration optimization method provided by aiming at the characteristics of cloud platform isomerism, cluster scheduler configuration optimization of dynamic load, isomerism of cloud platform load and short-time variability. Cloud platform loads can be divided into service applications and analysis applications, and different classifications are different in resource consumption and time requirements. According to the method, the configuration of the cluster scheduler is adjusted according to the state information of the job and the information of the cluster environment; the optimal scheduling configuration is always kept; therefore, the operation performance is improved, the operation delay is reduced, the heterogeneous load of the cloud platform can be better adapted, and the optimal configuration item corresponding to the current cluster state can be better found, so that the waiting time of the cluster operation is close to the minimum, the operation efficiency is improved, and the short-time variable big data operation is effectively scheduled.

The invention discloses a movable paint spraying machine. The movable paint spraying machine comprises a movable frame, a swinging and rotating unit, a spray gun, a travelling driver, a swinging and rotating driver and a control system. The swinging and rotating unit is connected to the movable frame rotationally. The spray gun is hinged to the swinging and rotating unit. The travelling driver is used for driving the movable frame to move. The swinging and rotating driver is used for controlling the swinging and rotating unit to swing and rotate. The control system is connected with the travelling driver and the swinging and rotating driver electrically to control movement of the movable frame and the swinging and rotating unit. The movable paint spraying machine has the advantages that the movable paint spraying machine has multi-angle multi-direction moving and swinging functions and can spray paint automatically, so that manual work is avoided, and personal injuries are reduced; the spraying speed is high, and paint is smooth and fine in hand feel; the paint is sprayed out in the form of mist, so that the paint can be well sprayed to corners and gaps, and final effect of paint films is good.

The invention provides a staining method for aramid fiber. The staining method comprises the steps of preprocessing, preshaping, staining, reduction clearing, color fixing, soft processing, drying, shaping, calendaring and rolling. According to the staining method, DEET is added in to serve as a dye carrier, and the staining effect and efficiency are improved; meanwhile, substitute alkali is adopted to replace a conventional soda substance, and not only is the usage amount decreased, but also the color fixing effect is enhanced to enable the washability of the aramid fiber is further enhanced; the reduction clearing and color fixing processes are added, and therefore the staining fastness is good; green and environmental-friendly non-formaldehyde TCD-R is adopted in the color fixing process, the fiber is dried step by step after color fixing, and therefore the firmness of the fiber is greatly improved; the soft processing process is added, the color fastness and softness of fabric are improved, the roughness of the fabric is reduced, and therefore the fabric is fluffy and rich in elasticity.