Abstract:
The invention discloses a multi-step prediction method and system of future wind speed based on automatic reservoir neural network, realizes accurate and fast multi-step prediction of future information, maintains high robustness to noise and system time-varying, and avoids over-fitting problems. The technical scheme is: for short-term high-dimensional wind speed data, based on the delay embedding theory, the observed high-dimensional dynamics is used as the reservoir by using space-time information transformation, and the high-dimensional wind speed data is mapped to the future information of the target variable. The automatic reservoir neural network realizes the multi-step prediction of the target variable by solving a pair of conjugate space-time information interaction equations.
Abstract:
The present invention provides a mechanical prosthetic limb, which relates to the technical field of medical devices. The mechanical prosthetic limb includes a prosthetic limb shank, a fixed component for connecting the prosthetic limb shank with a human body, a power-driven first drive mechanism that is installed on the prosthetic limb shank, and a prosthetic limb sole that is connected to the bottom of the prosthetic limb shank; the fixed component is rotationally connected with the prosthetic limb shank through the first drive mechanism; and the prosthetic limb shank is rotationally connected with the prosthetic limb sole through the first drive mechanism. It can relieve the burdens of the disabled in the automatic advance way, thereby improving convenience.
Abstract:
A static random access memory (SRAM) bit cell and a related SRAM array are provided. In one aspect, an SRAM cell is configured to perform an XNOR function on a first input value and a second input value. In another aspect, a number of the SRAM cells can be employed to form an SRAM array for supporting deep neural network and machine learning applications. The SRAM cell is coupled to a word line(s) and an inverted word line(s) that collectively define the first input value. The SRAM cell causes a voltage and/or current difference between a bit line(s) and a complementary bit line(s) coupled to the SRAM cell. By customizing the SRAM cell to enable the XNOR function and forming a binary neural network based on the SRAM array, it is possible to effectively implement computing-in-memory (CIM) for deep neural network and machine learning applications.
Abstract:
The present invention provides a device, method, and program for detection of a biomarker candidate that may be used in a diagnosis of a pre-disease state indicating a transition from a healthy state to a disease state. Biological samples are collected from a subject to be measured at different times. Statistical data is obtained by aggregating measurement data obtained in measurement on collected biological samples. Thereafter, a process of obtaining high-throughput data (s1), a process of choosing differential biological molecules (s2), a process of clustering (s3), a process of choosing a DNB candidate (s4), and a process of identifying a DNB by significance analysis (s5) are carried out.
Abstract:
A punch module includes a fixing plate, a clamping member, an engaging member, a number of latching members, and a punch. The fixing plate defines an assembly space. The clamping member detachably fixed to the fixing plate and received in the assembly space of the fixing plate defines a first receiving space. The engaging member received in the first receiving space of the clamping member defines a second receiving space. The latching members are movably received in the first receiving space of the clamping member and the second receiving space of the engaging member. The punch extends through the clamping member, the engaging member, and the fixing plate, and defines a latching slot engagable with the latching members.
Abstract:
A two-in-one connector includes an insulating housing, a plurality of first and second terminals, and a shielding shell. The insulating housing has a first base body and a second base body. Each first terminal has a first soldering portion projecting under the first base body to be mounted on a printed circuit board, and a first contact portion projecting beyond a top of the first base body. Each second terminal has a second soldering portion projecting under the second base body to be mounted on the printed circuit board, and a second contact portion projecting beyond a front of the second base body. The shielding shell is mounted on the first base body to define an insertion space therebetween for receiving a SIM card therein to contact with the first contact portions. A battery can be mounted on the shielding shell to contact with the second contact portions.
Abstract:
A portable and/or mobile detector for highly enriched uranium (HEU) and weapon grade plutonium (WGPu) is disclosed the detects HEU and/or WGPu based on neutron induced fission of a portion of the HEU and/or WGPu and detecting delayed neutron and/or γ-rays emission from delayed neutron emitters formed from the induced fission reactions.
Abstract:
A method to fabricate a pattern on a housing, includes following steps: placing a film having a first lightproof area and a first light-transmissible area on a housing having light-sensitive inks formed in surface; radiating light on the film and light passing through the light-transmissible area and solidifying the light-sensitive inks; removing the film from the housing and cleaning the un-solidified light-sensitive inks; wiredrawing first wires in the housing and forming first wires in exposed area correspondingly; covering part of the first wires and wiredrawing second wires, the second wires crosses with part of the first wires.