37results about How to "Good signal effect" patented technology

For hand signal enhancement, a reversible, flexible illuminated framework, for wearing upon the human hand or over gloves.Emanating from a wrist cuff, the framework comprises four or more rope light type LED illumination elements, that provide constant on, flashing, or sequential illumination, a battery pack upon the wrist cuff, an index finger mounted switch unit; the rope light is capable of various color illumination through use of waterproofed colored or clear translucent sheaths, the light elements are connected together with a web strap midway along the length of the light elements; fabric fingertip caps terminate the light elements and hold the light elements inline with the fingers of the hand; a Velcro band upon the light elements at the first finger joint of the index and the ring fingers keeps the lighting elements from rotating upon the fingers during use.

A lateral transient voltage suppressor with ultra low capacitance is disclosed. The suppressor comprises a first conductivity type substrate and at least one diode cascade structure arranged in the first conductivity type substrate. The cascade structure further comprises at least one second conductivity type lightly doped well and at least one first conductivity type lightly doped well, wherein there are two heavily doped areas arranged in the second conductivity type lightly doped well and the first conductivity type lightly doped well. The cascade structure neighbors a second conductivity type well, wherein there are three heavily doped areas arranged in the second conductivity type well. The suppressor further comprises a plurality of deep isolation trenches arranged in the first conductivity type substrate and having a depth greater than depths of the second conductivity type lightly doped well, the second conductivity type well and the first conductivity type lightly doped well. Each doped well is isolated by trenches.

The invention discloses a Cu(OH) 2 SC‑G‑quadruplex nanobio-dual mimetic enzyme, Cu(OH) 2 SC is Cu(OH) with supercage structure 2 , nanobiological dual mimic enzyme with Cu(OH) 2 SC as the core, Cu(OH) 2 The surface of the SC is coupled to DNA with a G-quadruplex. And the invention also discloses an immunosensor, which contains Cu(OH) 2 SC‑G‑quadruplex nanobio-dual mimetic enzyme and SiO 2 @Ni silicate core-shell structure nanomaterial, the immunosensor can realize visual detection, has the characteristics of high detection sensitivity, good signal effect, and long storage time, and is suitable for large-scale applications.

The invention relates to an antenna, especially to an antenna apparatus and a security and protection system including the same. The antenna apparatus comprises an upper housing, a lower housing and an antenna. The antenna apparatus is characterized in that the apparatus also includes: an antenna cavity, which is arranged between the upper housing and the lower housing and is used for placing the antenna and enabling the antenna to receive and transmit a variable frequency signal; and rotating shafts, which are arranged at the sides of the upper portions of the upper housing and the lower housing and are used for adjusting the angle of the antenna. And a circular hole for antenna passing is arranged at the centers of the rotating shafts. According to the invention, the antenna apparatus employs plastics and flexible metal wires, wherein the plastics and the flexible metal wires are welded by an ultrasonic way; and metal wires are arranged between the plastic upper housing and the plastic lower housing. In addition, reinforcing ribs are arranged at the upper housing and the lower housing and divides the antenna into several segments, so that the antenna can be rotated after being installed in a product and relates signal intensity can be adjusted during rotation. Because the antenna is divided into several segments by the plastic housings and intervals of all the segments are different, the antenna apparatus has the good receiving-transmitting effect for variable frequency signals.

The invention discloses a time-domain automatic-adaptive equalizer and an equalizing method thereof, wherein the time-domain automatic-adaptive equalizer comprises a plurality of equalizing units and is used for equally compensating the same input signal and outputting a plurality of paths of different equalized output signals, wherein every equalizing unit comprises a feedforward filter used foreliminating the front path of an input signal, a feedback filter used for eliminating the back path of an input signal, a decision device, an error generator, a tap coefficient renovator and a combination / selection unit used for selecting or combining a plurality of paths of different equalized output signals, and the formed output signal is the output of the time-domain automatic-adaptive equalizer. The invention differently equalizes the same input signal to output a plurality of paths of different output signals. A plurality of signals are optimized by selecting different equalizing structures and equalizing methods according to the condition of the environment of the actual-used signal path to obtain the equalizing signal of good stability.

The invention discloses a wireless unbound human behavior detection algorithm, the purpose of which is to identify human behavior by analyzing different change modes of channel state information, which can satisfy convenience and safety while achieving high recognition accuracy. The technical solution adopted is: use the wireless transmitter to establish a wifi field, when the user walks or makes certain actions in the wifi coverage area, it will have a specific impact on the wifi channel, and use the wireless receiver to receive the wifi signal and calculate the action CSI value, extract channel change features, use the different change features of the wifi channel when people move in the wifi field or perform certain actions, analyze the different change patterns of channel state information, and use feature extraction and classification matching algorithms to perform behavior Recognition, combining human behavior and different change modes of the channel, so as to realize the recognition of human behavior with wifi channel characteristics.