Patent classifications
G06G7/60
Method and system for brace designing
Method and system for brace designing. The method comprises the following steps: S1) fixing a subject requiring a brace; S2) acquiring skeletal image information of the subject; S3) determining an adjustment solution for implementing an adjustment with respect to the subject and a target state that is to be achieved ultimately; S4) adjusting the subject to alter the skeletal structure of the subject; S5) acquiring adjusted skeletal image information of the subject; S6) determining whether the skeleton of the subject has been adjusted to the target state; if yes, then terminating adjustment and entering step S7; if not, then returning to step S4; S7) acquiring the body surface three-dimensional shape of the subject having achieved the target state and recording information of the force applied by an adjusting head to the subject for use in manufacturing a corresponding brace; thus allowing the highly efficient designing of a brace.
Method and system for brace designing
Method and system for brace designing. The method comprises the following steps: S1) fixing a subject requiring a brace; S2) acquiring skeletal image information of the subject; S3) determining an adjustment solution for implementing an adjustment with respect to the subject and a target state that is to be achieved ultimately; S4) adjusting the subject to alter the skeletal structure of the subject; S5) acquiring adjusted skeletal image information of the subject; S6) determining whether the skeleton of the subject has been adjusted to the target state; if yes, then terminating adjustment and entering step S7; if not, then returning to step S4; S7) acquiring the body surface three-dimensional shape of the subject having achieved the target state and recording information of the force applied by an adjusting head to the subject for use in manufacturing a corresponding brace; thus allowing the highly efficient designing of a brace.
SEMICONDUCTOR DEVICE AND ELECTRONIC DEVICE
A semiconductor device capable of performing product-sum operation with high layout flexibility is provided. In the semiconductor device, a first layer, a second layer, and a third layer are formed in this order. The first layer includes a first cell, a first circuit, a first wiring, and a second wiring adjacent to the first wiring. The second layer includes a third wiring and a fourth wiring adjacent to the third wiring. The third layer includes an electrode and a sensor. The first circuit includes a switch. The sensor is electrically connected to the third wiring through the electrode and a first plug, a first terminal of the switch is electrically connected to the third wiring through a second plug, and a second terminal of the switch is electrically connected to the first cell through the first wiring. The electrode includes a region overlapping with the sensor and a region overlapping with the first plug. Note that the first to fourth wirings are parallel to each other, and the distance between the third wiring and the fourth wiring is greater than or equal to 0.9 times and less than or equal to 1.1 times the distance between the first wiring and the second wiring.
Semiconductor device
Input unit to which a voltage is applied, current output unit that outputs a high level current or a low level current in response to the voltage applied to input unit, and stochastic circuit unit that, in response to the voltage applied to input unit, changes a probability that the high level current or the low level current is output from current output unit, in accordance with a sigmoid function used in a mathematical model of a neural activity are included.
Semiconductor device
Input unit to which a voltage is applied, current output unit that outputs a high level current or a low level current in response to the voltage applied to input unit, and stochastic circuit unit that, in response to the voltage applied to input unit, changes a probability that the high level current or the low level current is output from current output unit, in accordance with a sigmoid function used in a mathematical model of a neural activity are included.
SEMICONDUCTOR DEVICE
A product-sum calculation with high power efficiency is performed while maintaining a small area of a memory cell. A semiconductor device includes a memory cell array in which a plurality of memory cells is arranged in a matrix. Then, each memory cell of the plurality of memory cells includes a flip-flop circuit including two inverter circuits in each of which a load field effect transistor and a drive field effect transistor are connected in series, input portions and output portions of the two inverter circuits being cross-joined to each other, two transfer field effect transistors each having a gate electrode connected to a word line, and a pair of first and second main electrode regions, the first main electrode regions being respectively connected to the output portions of the two inverter circuits, and two resistance elements of which one end sides are respectively connected to the second main electrode regions of the two transfer field effect transistors and other end sides are respectively connected to a bit line and a bit line bar.
ELECTRONIC CIRCUIT
A spike generation circuit includes a first CMOS inverter connected between a first power supply and a second power supply, an output node of the first CMOS inverter being coupled to a first node that is an intermediate node coupled to an input terminal to which an input signal is input, a switch connected in series with the first CMOS inverter, between the first power supply and the second power supply, a first inverting circuit that outputs an inversion signal of a signal of the first node to a control terminal of the switch, and a delay circuit that delays the signal of the first node, outputs a delayed signal to an input node of the first CMOS inverter, and outputs an isolated output spike signal to an output terminal.
NERVOUS SYSTEM EMULATOR ENGINE AND METHODS USING SAME
A nervous system emulator engine includes working computational models of the vertebrate nervous system to generate lifelike animal behavior in a robot. These models include functions representing several anatomical features of the vertebrate nervous system, such as spinal cord, brainstem, basal ganglia, thalamus, and cortex. The emulator engine includes a hierarchy of controllers in which controllers at higher levels accomplish goals by continuously specifying desired goals for lower-level controllers. The lowest levels of the hierarchy reflect spinal cord circuits that control muscle tension and length. Moving up the hierarchy into the brainstem and midbrain/cortex, progressively more abstract perceptual variables are controlled. The nervous system emulator engine may be used to build a robot that generates the majority of animal behavior, including human behavior. The nervous system emulator engine may also be used to build working models of nervous system functions for clinical experimentation.
NERVOUS SYSTEM EMULATOR ENGINE AND METHODS USING SAME
A nervous system emulator engine includes working computational models of the vertebrate nervous system to generate lifelike animal behavior in a robot. These models include functions representing several anatomical features of the vertebrate nervous system, such as spinal cord, brainstem, basal ganglia, thalamus, and cortex. The emulator engine includes a hierarchy of controllers in which controllers at higher levels accomplish goals by continuously specifying desired goals for lower-level controllers. The lowest levels of the hierarchy reflect spinal cord circuits that control muscle tension and length. Moving up the hierarchy into the brainstem and midbrain/cortex, progressively more abstract perceptual variables are controlled. The nervous system emulator engine may be used to build a robot that generates the majority of animal behavior, including human behavior. The nervous system emulator engine may also be used to build working models of nervous system functions for clinical experimentation.
Detector and power conversion circuit
A spike generation circuit includes a first CMOS inverter connected between a first power supply and a second power supply, an output node of the first CMOS inverter being coupled to a first node that is an intermediate node coupled to an input terminal to which an input signal is input, a switch connected in series with the first CMOS inverter, between the first power supply and the second power supply, a first inverting circuit that outputs an inversion signal of a signal of the first node to a control terminal of the switch, and a delay circuit that delays the signal of the first node, outputs a delayed signal to an input node of the first CMOS inverter, and outputs an isolated output spike signal to an output terminal.