115results about How to "Reduce learning" patented technology

The invention relates to methods for reducing a condition associated with fetal alcohol syndrome in a subject who is exposed to alcohol in utero with an ADNF polypeptide (e.g, ADNF I polypeptides, ADNF III polypeptides, or mixtures of ADNF I and ADNF III polypeptides). In one embodiment, the present invention relates to methods for reducing a condition associated with fetal alcohol syndrome in a subject who is exposed to alcohol in utero with a mixture of ADNF I and ADNF III polypeptides. The present invention further relates to methods for reducing neuronal cell death by contacting neuronal cells with a mixture of ADNF I and ADNF III polypeptides. Still further, the present invention relates to a pharmaceutical composition comprising a mixture of ADNF I and ADNF III polypeptides.

Apparatus and method for controlling a molding machine includes structure and function for a human machine interface control panel having: (i) a flat panel display screen; (ii) a pointing device; (iii) a plurality of pushbuttons overlaid with or without icons; (iv) a housing containing the above and the associated electronics; (v) structure to uniquely identify each users preferred configuration; (vi) structure to connect to a remote controller for both digital information and video signal communication; (vii) a connection for receiving external power to drive the panel's electronics and display; and (viii) software running in the remote controller to provide all the operating functions of the human machine interface.

The invention discloses a sorting method for guiding a mechanical arm to grab materials with different poses based on a ConvPoint model, three-dimensional point cloud data of the materials is obtained through a 3D structured light camera, the three-dimensional point cloud data is combined with the ConvPoint model for material sorting, the method is not affected by the initial poses and appearances of the materials, various grabbing targets are achieved, and the system robustness is higher. Compared with an existing deep learning method, the method has the advantages that grabbing sampling is improved through PCA, the material grabbing accuracy is obviously improved, in addition, the point cloud in the network input clamp is evaluated instead of the point cloud of the whole object, the learning and reasoning time is shortened, and the material sorting efficiency is greatly improved. Besides, in the ConvPoint model training stage, the point cloud data of different types of complex structure materials are collected in real time to serve as a training set, the method does not depend on a data set of simple objects of an online open source, complex objects of different poses are grabbed, and the intelligent level and the automation level of a sorting system are improved.

The invention discloses a cloud computing-based pressure casting simulation control method and belongs to the technical field of pressure casting control. A pressure casting simulation control method in the prior art does not disclose a technical scheme about how to simulate a simulation model, and the prior art is narrow in application range, cannot be suitable for various pressure casting situations and is poor in simulation effect and high in usage cost. According to a cloud computing-based pressure casting simulation technology, a cloud computing mode is introduced in a pressure casting simulation technology to realize intelligent configuration of resources. Through a pressure casting cloud service platform, the learning and usage threshold of the pressure casting simulation control technology is greatly lowered. A pressure casting cloud solver is optimized according to the pressure casting simulation control method and then is packaged in a cloud service platform. The technical scheme of pressure casting simulation is detailed, feasible, wide in application range, accurate in computation, good in simulation effect, quick and convenient in use and low in usage cost.

Apparatus and method for controlling a molding machine includes structure and function for a human machine interface control panel having: (i) a flat panel display screen; (ii) a pointing device; (iii) a plurality of pushbuttons overlaid with or without icons; (iv) a housing containing the above and the associated electronics; (v) structure to uniquely identify each users preferred configuration; (vi) structure to connect to a remote controller for both digital information and video signal communication; (vii) a connection for receiving external power to drive the panel's electronics and display; and (viii) software running in the remote controller to provide all the operating functions of the human machine interface.

The invention relates to a multi-scale target tracking method based on learning rate adjustment and multi-layer convolution feature fusion, and belongs to the technical field of computer vision tracking. The method comprises the following steps: firstly, extracting image features by adopting a layered convolutional neural network, and predicting a target position by fusing multi-layer convolutional features by utilizing a linear weighting method; determining the optimal scale of the target by using the target convolution features under multiple scales; and finally, evaluating the confidence coefficient of target response by utilizing average peak value related energy, evaluating the motion condition of the target according to the frame difference mean value and the displacement of two adjacent frames of target images, and adjusting the learning rate of the filter model according to the prediction position confidence coefficient and the appearance change of the target images. Accordingto the method, the traditional correlation filtering tracking method can be effectively processed; traditional manual features lack semantic information, targets and backgrounds cannot be effectivelydistinguished, error accumulation can be caused by indiscriminately updating a filter due to the fact that the learning rate is a fixed value under the conditions of shielding, target loss and the like, and the method can effectively track the targets under complex conditions.

The invention discloses a method for controlling a single-lens reflex camera to carry out panoramic shooting through a mobile phone. The method comprises the steps that the smart mobile phone is placed on a single-lens reflex camera clamping base, previewing of the single-lens reflex camera and a mobile phone assistant APP are started, the single-lens reflex camera is moved to select a scenery spot to be shot, the mobile phone displays the scenery spot selected by the single-lens reflex camera, the assistant APP prompts and guides a user to move the single-lens reflex camera to an optimal shooting position, the assistant APP sends a shooting instruction to the single-lens reflex camera, the single-lens reflex camera shoots a single picture, and the assistant APP obtains the shot picture from the single-lens reflex camera and sends the picture to a storage card of the mobile phone; if the number of pictures reaches a preset number or the user stops shooting the pictures, the shot pictures are composited to be a panoramic picture, and shooting is ended; or, other scenery spots are selected for shooting. The optimal spot for shooting the single picture in a panoramic mode through the single-lens reflex camera is determined and the panoramic picture is composited through the smart mobile phone, shooting quality is improved and real-time operability is high.