94 results about "Environmental variation" patented technology

The present invention provides a real-time three-dimensional pattern recognition imaging system having a variable focal length, a wide depth of field, a high depth resolution, a fast acquisition time, a variable magnification, a variable optical axis for tracking, and capability of compensating various optical distortions and aberrations, which enables pattern recognition systems to be more accurate as well as more robust to environmental variation. The imaging system for pattern recognition comprises one or more camera system, each of which has at least one micromirror array lens(MMAL), a two-dimensional image senor, and an image processing unit. A MMAL has unique features including a variable focal length, a variable optical axis, and a variable magnification.

Analog computational arrays for matrix-vector multiplication offer very large integration density and throughput as, for instance, needed for real-time signal processing in video. Despite the success of adaptive algorithms and architectures in reducing the effect of analog component mismatch and noise on system performance, the precision and repeatability of analog VLSI computation under process and environmental variations is inadequate for some applications. Digital implementation offers absolute precision limited only by wordlength, but at the cost of significantly larger silicon area and power dissipation compared with dedicated, fine-grain parallel analog implementation. The present invention comprises a hybrid analog and digital technology for fast and accurate computing of a product of a long vector (thousands of dimensions) with a large matrix (thousands of rows and columns). At the core of the externally digital architecture is a high-density, low-power analog array performing binary-binary partial matrix-vector multiplication. Digital multiplication of variable resolution is obtained with bit-serial inputs and bit-parallel storage of matrix elements, by combining quantized outputs from one or more rows of cells over time. Full digital resolution is maintained even with low-resolution analog-to-digital conversion, owing to random statistics in the analog summation of binary products. A random modulation scheme produces near-Bernoulli statistics even for highly correlated inputs. The approach has been validated by electronic prototypes achieving computational efficiency (number of computations per unit time using unit power) and integration density (number of computations per unit time on a unit chip area) each a factor of 100 to 10,000 higher than that of existing signal processors making the invention highly suitable for inexpensive micropower implementations of high-data-rate real-time signal processors.

Source line bias is an error introduced by a non-zero resistance in the ground loop of the read/write circuits. During sensing the control gate voltage of a memory cell is erroneously biased by a voltage drop across the resistance. This error is minimized when the current flowing though the ground loop is reduced. A method for reducing source line bias is accomplished by read/write circuits with features and techniques for multi-pass sensing. When a page of memory cells are being sensed in parallel, each pass helps to identify and shut down the memory cells with conduction current higher than a given demarcation current value. In particular, the identified memory cells are shut down after all sensing in the current pass have been completed. In this way the shutting down operation does not disturb the sensing operation. Sensing in subsequent passes will be less affected by source line bias since the total amount of current flow is significantly reduced by eliminating contributions from the higher current cells. In another aspect of sensing improvement, a reference sense amplifier is employed to control multiple sense amplifiers to reduce their dependence on power supply and environmental variations.

A facial recognition method for eliminating the effect of noise blur and environmental variations is provided, applicable to a data processing apparatus, to determine whether a current-face-image matches a reference-face-image or not. According to the method, Gaussian Noise blur Reduction or another noise blur reduction method is performed on the current-face-image and the reference-face-image. Furthermore, the current-face-image and the reference-face-image are respectively divided into a plurality of blocks, so as to derive feature-vector sets representing the current-face-image and the reference-face-image. Finally a dynamic threshold value is determined according to environmental variations to be compared with the difference of the feature-vector sets, so as to determine whether a current-face-image matches a reference-face-image.

A passive radio frequency identification (RFID) sensor is provided. This passive RFID sensor includes at least one antenna, at least one processing module, and a wireless communication module. The at least one antenna has an impedance that may vary with an environment in which the sensor is placed. Additionally, the antenna impedance might be permanently changed in response to an environmental variation or an event. The at least one processing module couples to the antenna and has a tuning module that may vary a reactive component impedance coupled to the antenna in order to change a system impedance. The system impedance includes both the antenna impedance and the reactive component impedance. The tuning module then produces an impedance value representative of the reactive component impedance. A memory module may store the impedance value which may then later be communicated to an RFID reader via the wireless communication module. The RFID reader may then exchange the impedance value representative of the reactive components of impedance with the RFID reader such that the RFID reader or another external processing unit may process the impedance value in order to determine environmental conditions at the inductive loop. These environmental conditions may include but are not limited to temperature, humidity, wetness, or proximity of the RFID reader to the passive RFID sensor.

The invention discloses a method for detecting stress and strain of a road surface, belonging to the field of structure performance research of bituminous road surface. In the method, a bituminous layer strain sensor, a soil pressure case, a temperature sensor and a shaft sensor are embedded at the proper position of the road to be tested; and the data collected by a high-speed data collecting system is analyzed and processed to obtain the stress and strain of the road surface. The data measured by the method can reflect the actual situation of the road surface and has favorable values for promotion and application. The invention can be widely applied to the stress state, change rule and detection technology research inside the road surface under the action of traffic load and the coupling action of environmental variation.

An integrated circuit (IC) including a controller integrally formed on a shared die with the IC and method of operating the same to compensate for process and environmental variations in the IC are provided. In one embodiment the IC is comprised of device and sub-circuits, and the method includes: receiving in the IC electrical power and information on at least one of one or more operational parameters of the IC; and adjusting one or more operating characteristics of at least one of the devices and sub-circuits in the IC based on the received information using a controller integrally formed on a shared die with the IC. Other embodiments are also disclosed.

The current invention is a novel gyroscope design, which yields devices robust to fabrication and environmental variations, allows flexible selection of operational parameters, and provides increased bandwidth minimized sacrifice in gain regardless of the selected frequency of operation. The gyroscope has a single degree-of-freedom (DOF) drive-mode and a 2-DOF sense-mode. The drive-mode operational frequency and the sense-mode bandwidth can be selected arbitrarily in the proposed design, relaxing the tradeoff between the gain, die size, and detection capacitance. The symmetry of the structure ensures the optimal location of the drive-mode resonance relative to the sense-mode operational region, even in presence of fabrication imperfections.

In an image forming apparatus and an image density control method that are capable of suppressing the amount of toner consumed for a purpose other than image formation and responding to variation in the development ability of a development device due to environmental variation and the like such that a constant image density is obtained, the image density is maintained at a substantially fixed level by first target output value correcting means in accordance with a toner replacement amount and without consuming toner, and adjustment of the image density accompanying variation in the development ability due to environmental variation and the like is dealt with by second target output value correcting means in accordance with a toner pattern detection result. Hence, the frequency with which the toner pattern is detected in order to maintain the image density at a fixed level can be reduced in comparison with a case in which the image density is maintained at a fixed level on the basis of the toner pattern detection result alone, and as a result, the toner consumption amount can be suppressed.

Disclosure herein is related to a system for testing wireless signals and a method provided for establishing the system. One of the objectives is to establish one new testing system while the method effectively reduces the unstable problem caused by hardware or environmental variations. The testing system measures intensity of the wireless signals outputted from a device-under-test. While compared to a test signals, it is determined if the signal intensities there-between are balanced. Accordingly, the hardware of system is required to be adjusted. After that, the wireless signals are compared with sample signals for determining whether or not the test results are stable among the different testing system. An attenuation value may be introduced to adjusting the test result. A new testing system is therefore established.

The invention discloses a face identification method based on model matching, which comprises the following steps: transmitting the face to the changing region; doing LBP calculation of face image; extracting histogram from the LBP calculation result; accomplishing face identification through histogram matching. The invention improves the calculation speed, which reduces the sensitive degree of gesture, light, appearance and environmental variation.

The invention provides a video motion shadow detecting method based on lighting compensation. The method includes: using a background differencing method to obtain the foreground area with motion shadows, using color features to extract candidate shadow areas, randomly sampling the areas to estimate the parameters of lighting compensation, and differencing the compensated background area with the foreground area to obtain the motion shadow detecting result. The method has the advantages that any scene assumption can be avoided, and manual intervention is not needed; compared with other multi-feature shadow detecting methods, the method can fuse multiple features reasonably, instantaneity and accuracy are achieved, and the method is well applicable to scene and environmental variations.

A Hardware-Embedded Delay Physical Unclonable Function (“HELP PUF”) leverages entropy by monitoring path stability and measuring path delays from core logic macros. Reliability and security enhancing techniques for the HELP PUF reduce bit flip errors during regeneration of the bitstring across environmental variations and improve cryptographic strength along with the corresponding difficulty of carrying out model building attacks. A voltage-based enrollment process screens unstable paths on normally synthesized (glitchy) functional units and reduces bit flip errors by carrying out enrollment at multiple supply voltages controlled using on-chip voltage regulators.

A monopulse radar system aims to correct an amplitude error and a phase error developed between receiving channels and improve the accuracy of a detected angle. To achieve the above aim, part of a transmit signal is supplied to respective channels on the receiving side through a signal transmission line for calibration. At this time, the gains of a variable phase shifter and a variable gain amplifier are adjusted so that an azimuth angle of a pseudo target, based on a signal for calibration, which is calculated by signal processing means, reaches a predetermined angle. Therefore, calibration work is simplified and an angular correction can be automated. Therefore, the present monopulse radar system is capable of coping even with variations in characteristic after product shipment due to environmental variations and time variations in parts characteristic.