39 results about "Binary sensors" patented technology

The invention discloses a target tracking method based on a binary sensor Ad Hoc network. The target tracking method adopted by the invention comprises the following steps that: firstly, a sensor network system is deployed in site for carrying out network initialization and information updating; then, a sensor network node judges whether to trigger the position calculation or not; if the triggering conditions are satisfied, the node calculates the target position in the local place, and sends back the calculation results to a gateway gathering node of the sensor network system through a shortest route; and finally, a computer in the monitoring management center is responsible for collecting target tracking results of each node for forming the moving track of the tracked target. The method is characterized in that a vibration sensor uses an Ad Hoc network mode for forming a network system, realizes the optimization of two indexes: the target tracking precision and the calculation cost, the problem of large calculation amount is avoided, and in addition, the positioning precision is high. The method is also applicable to the network system formed by other binary detection sensors deployed outdoors, and realizes the tracking on moving vehicles or personnel.

A system for regulating the fuel-air mixture in a multi-cylinder internal combustion engine. The system utilizes binary sensors to detect relative deviations from stoichiometric combustion, including individual combustion events, and allows for regulation to achieve optimal and similar combustion to take place in all the cylinders.

The invention discloses a passive wireless temperature crack binary sensor array based on a microstrip antenna. The passive wireless temperature crack binary sensor array comprises a signal transceiving patch antenna and a measuring patch antenna array. The measuring patch antenna array comprises a crack monitoring array element and a temperature monitoring array element and is connected with thesignal transceiving patch antenna through delay transmission feeder lines with different lengths; and the signal transceiving patch antenna is in data communication with external equipment. The influence of the environment temperature on the monitoring performance of the crack sensor is eliminated, and the working reliability of the microstrip antenna sensor is greatly improved.

A parameter estimation method for binary sensor networks is provided. A binary sensor node is used to replace the traditional high-precision sensor node, the on-line estimation of unknown parameters is realized by using a 1-bit measurement value, based on sparse penalty maximum likelihood optimization, combining with expectation maximization EM and least mean square LMS, and taking into account the sparsity of unknown parameters, the accuracy of binary sensor network parameters is estimated, which effectively reduces the use cost of sensors, and has good robustness and practicability.

A sensor wire count reduction system having various features is disclosed. Signals from multiple sensors may be combined together to reduce the number of wires implemented to convey the signals to a remote location. Multiple binary sensor outputs may be represented on a single wire as a multi-level signal, and may be decoded at a remote location.

A sensor device comprising a passive matrix array of electroactive sensor elements arranged in rows and columns. In one example, each sensor element generates a binary sensor signal such that a total signal at each row and at each column enables any pattern of external inputs to be determined. This provides a first way to determine a pattern of sensor elements which are sensing an input using a passive matrix addressing scheme. In another example, each sensor element generates a sensor signal with a different frequency characteristic. This provides another way to enable any pattern of external inputs to be determined.

The invention belongs to wireless sensor network technology field and discloses a novel sensor network node positioning method. The method is used to perform object positioning in a wireless sensor network area. When a number of nodes in the area is limited and the nodes can not be moved once the nodes are put in their place, the positioning for each time point with errors as little as possible should be performed if the object is passes the area. For the above problem, combining a traditional centroid localization method, the invention discloses the grid centroid positioning method based on the correction weight. By using the method, the object existence areas can be effectively reduced. Under the consideration of different dominant positions of the several grids in the object existence areas, combining the weight and the correction, positioning precision can be greatly increased.

A quantum detector array is provided. The array includes a semiconductor substrate and an epitaxial layer on the semiconductor substrate. The epitaxial layer includes a plurality of binary quantum sensor elements operable in breakdown mode to generate signals, logic elements, and a digital processing circuit. The binary quantum sensor elements each have a radiation-sensitive drift region and amplification region with a pn junction for detecting radiation from a radiation-emission source. The logic elements are each electrically interconnected to a corresponding binary sensor element of the plurality of binary quantum sensor elements for resetting the corresponding binary sensor element, generating digital information based on the signals received from the corresponding binary sensor element, and outputting the digital information. The digital processing circuit carries out digital processing of logic and time signals from the binary sensor elements.

A mechatronic assembly for driving a member, includes a control unit and an actuator, the control unit having a servo control algorithm and a power bridge, the algorithm controlling the power bridge, the power bridge outputting a bifilar electric signal consisting of a power signal and a direction signal, the actuator including a polyphase brushless electric motor having n-phases, binary sensors for detecting the position of the rotor of the motor, power switches being capable of powering the n-phases of the motor using the bifilar electric signal, and a state of the power switches being controlled directly by a signal from the detection sensors.

A sensor wire count reduction system having various features is disclosed. Signals from multiple sensors may be combined together to reduce the number of wires implemented to convey the signals to a remote location. Multiple binary sensor outputs may be represented on a single wire as a multi-level signal, and may be decoded at a remote location.

The invention relates to forming an image using binary pixels. Binary pixels are pixels that have only two states, a white state when the pixel is exposed and a black state when the pixel is not exposed. The binary pixels have color filters on top of them, and the setup of color filters may be initially unknown. A setup making use of a statistical approach may be used to determine the color filter setup to produce correct output images. Subsequently, the color filter information may be used with the binary pixel array to produce images from the input images that the binary pixel array records.

A method and apparatus for occupation detection includes: estimating locations of detected objects in a segmented detection region at a current time to acquire an estimation result, and transforming each of the acquired estimation results to a corresponding binary matrix, acquiring at least one candidate matrix at the current time according to the acquired binary matrices, and performing difference estimation on each of the candidate matrices at the current time according to output probabilities at the current time of at least one binary sensor deployed in the detection region; and selecting at least one condition-compliant matrix from the candidate matrices at the current time according to the estimation results, and using the selected matrix as an occupation detection result at the current time.

A wastewater monitoring system uses a digital camera in a fixed location in a wastewater pipe. The digital camera is coupled to a binary sensor that provides a binary trip signal that indicates when the sensor detects wastewater in the pipe exceeding a defined threshold. When the digital camera detects a trip signal from the binary sensor, operating logic in the digital camera changes frequency for taking pictures. The digital camera preferably adds visible data to a stored digital photograph file that may include any or all of the following: camera serial number, state of sensor(s), temperature, battery level in the digital camera, and battery level in the sensor(s). The visible data is stored in the digital photograph file such that the visible information is overlaid on the digital photograph so it is visible to the eye of the person viewing the digital photograph.

The invention discloses a blood oxygen content estimation method based on binary sensor Kalman fusion. The method comprises the following steps of: establishing a blood oxygen content dynamic physiological model and a binary measurement model, analyzing effective information in binary sensor measurement according to a blood oxygen content model, and obtaining a practical measurement model; designing a robust local Kalman estimator, giving a recursive computation process of an estimation error covariance upper bound, and through the minimization of the estimation error covariance upper bound, solving an optimal local estimation gain; and designing a distributed fusion Kalman filter used for blood oxygen content estimation, adopting a covariance insertion fusion criterion, and solving an optimal problem to obtain an optimal fusion weight matrix. The invention provides the blood oxygen content distributed fusion Kalman estimation method based on the binary sensor, and realizes the real-time non-invasive estimation of the blood oxygen content.

The invention relates to forming an image using binary pixels. Binary pixels are pixels that have only two states, a white state when the pixel is exposed and a black state when the pixel is not exposed. The binary pixels have color filters on top of them, and the setup of color filters may be known to some degree. A setup making use of a statistical approach may be used to determine the color of incoming light to produce output images. Consequently, the approach may be used with the binary pixel array to produce images from the input images that the binary pixel array records.

The invention discloses a behavior recognition method based on a binary sensor. The method comprises the steps that S1, data collected by the binary sensor is preprocessed, and preprocessed binary sensor data is obtained; S2, the preprocessed binary sensor data obtained in the step S1 is subject to segmentation processing based on space constraint and time constraint, and segmented binary sensor data is obtained; S3, the segmented binary sensor data obtained in the step S2 is mapped and converted into a one-dimensional string, and the one-dimensional string is processed to obtain a behavior pattern candidate set; and S4, a specific behavior pattern is recognized from the behavior pattern candidate set obtained in the step S3. The invention further discloses a behavior recognition device based on the binary sensor and a computer storage medium. The method is convenient to use, free of privacy invasion, high in accuracy, low in calculation complexity and low in cost.

A shifter for controlling a transmission of a motor vehicle includes a rotatably mounted actuation element, a sensor assembly including a first element having a plurality of binary sensors and a second element having a trigger device. A control unit determines an angular position of the actuation element based on an input signal from the sensor assembly. The binary sensors and the trigger device are arranged such that each binary sensor corresponds to one trigger line comprising a plurality of trigger elements. The trigger elements are distributed along the trigger line such that at least one the binary sensors is able to detect a presence of a trigger element for each angular position of the actuation element. At least one trigger element from each trigger line together form a trigger pattern, and the trigger pattern is repeated at least twice on the trigger device to initiate a shift command.

A method of data compression includes obtaining binary sensor data (210) having rows with multi-bit data samples. The rows are divided into data groups (G1, G2, G3, G4), each including two or more samples. A precedent value is selected for the rows, or respective precedent values are selected for each data group. A compressed row of compressed sensor data (220) is generated from each row by calculating differences between the data sample and the precedent value for its associated data groups. A Compression Information Packet (CIP) is generated for each row, including information for returningthe binary sensor data that includes a compressed predicate (225) indicating whether each data group is stored compressed, a data group size being a multi-bit value that stores a group size used for row compression, and a compressed word size that stores a dynamic range of the row compression. The compressed rows are stored as stored compressed data along with the CIPs.

A shifter for controlling a transmission of a motor vehicle includes a rotatably mounted actuation element, a sensor assembly including a first element having a plurality of binary sensors and a second element having a trigger device. A control unit determines an angular position of the actuation element based on an input signal from the sensor assembly. The binary sensors and the trigger device are arranged such that each binary sensor corresponds to one trigger line comprising a plurality of trigger elements. The trigger elements are distributed along the trigger line such that at least one the binary sensors is able to detect a presence of a trigger element for each angular position of the actuation element. At least one trigger element from each trigger line together form a trigger pattern, and the trigger pattern is repeated at least twice on the trigger device to initiate a shift command.

The invention relates to a blood oxygen content estimation method based on binary sensor bounded recursive optimization fusion, which comprises the steps: establishing a blood oxygen content dynamic physiological model, analyzing effective information in binary sensor measurement, and obtaining an actual measurement model; designing a local bounded recursive optimization estimator, giving an upperbound of a local estimation error square, ensuring that the upper bound is established, minimizing the upper bound of the local estimation error square to construct an optimization problem with constraints, and designing an optimal local estimation gain by solving the optimization problem; designing a distributed bounded recursive optimization fusion estimator for estimating the blood oxygen content, and minimizing the upper bound of the estimation error square to design an optimal fusion weight matrix. The invention provides a blood oxygen content distributed fusion estimation method based on bounded recursive optimization and the binary sensor, and the real-time noninvasive estimation of the blood oxygen content is achieved.

The invention discloses a behavior recognition method based on a binary sensor, comprising the following steps: S1: preprocessing the data collected by the binary sensor to obtain preprocessed binary sensor data; S2: based on space constraints and time Constraints segment the preprocessed binary sensor data obtained in step S1 to obtain segmented binary sensor data; S3: map and convert the segmented binary sensor data obtained in step S2 into one-dimensional characters String, process the one-dimensional character string to obtain a behavior pattern candidate set; S4: identify a specific behavior pattern from the behavior pattern candidate set obtained in step S3. The invention also discloses a behavior recognition device based on a binary sensor and a computer storage medium. The invention is convenient to use, does not violate privacy, has high accuracy, low calculation complexity and low cost.

A method for estimating blood oxygen content based on binary sensor Kalman fusion, establishing a dynamic physiological model of blood oxygen content and a binary measurement model, analyzing the effective information in binary sensor measurement according to the blood oxygen content model, and obtaining the actual Measurement model; design a robust local Kalman estimator, give the recursive calculation process of the upper bound of the estimated error covariance, and obtain the optimal local estimated gain by minimizing the upper bound of the estimated error covariance; designed for blood oxygen content The estimated distributed fusion Kalman filter adopts the covariance insertion fusion criterion and obtains the optimal fusion weight matrix by solving the optimization problem. The invention provides a distributed fusion Kalman estimation method of blood oxygen content based on a binary sensor to realize real-time non-invasive estimation of blood oxygen content.

The invention relates to a method for determining an available fluid volume in a tank (2) for brake fluid of a brake system (1), wherein the brake system (1) has a pressure generator (4, 9) which is fluidically connected to the tank (2) on the one hand and to at least one brake circuit (8) on the other hand. The pressure generator can be controlled to generate hydraulic pressure in the brake system (1) under the condition that brake fluid is extracted from the tank (2); a predetermined limit value (F) below a filling level for the brake fluid in the tank (2) is monitored by means of a binary sensor (11) assigned to the tank (2). The following operations are regulated: monitoring the actuation of the pressure generator (4, 9); when the current filling level falls below the limit value (F), determining the available liquid volume as a function of the actuation of the pressure generator (4, 9).

A method for estimating blood oxygen content based on binary sensor bounded recursive optimization fusion, establishing a dynamic physiological model of blood oxygen content and analyzing the effective information in binary sensor measurement to obtain the actual measurement model; designing local bounded recursive optimization Estimator, which gives an upper bound of the square of the local estimation error, ensures that this upper bound holds and minimizes the upper bound of the square of the local estimation error to construct an optimization problem with constraints, and designs the optimal local estimation gain by solving this optimization problem; design A distributed bounded recursive optimization fusion estimator for blood oxygen content estimation, which minimizes the upper bound of the estimated error square to design the optimal fusion weight matrix; the invention provides a blood oxygen sensor based on bounded recursive optimization and binary sensors The content distributed fusion estimation method realizes real-time non-invasive estimation of blood oxygen content.

A method for managing a supply of a spark ignition internal combustion engine (E), the method comprising a procedure of commanding a supply of said engine based on a switching between two logical conditions of a binary sensor (B), so that said fuel oscillates around a stoichiometric fuel condition, the method comprising a first procedure carried out in stationary operating conditions of the internal combustion engine formed by a first step of registering at least two values of said air / fuel ratio (Lambda1 and Lambda2) for as many other consecutive switches, a second step of calculating an average value (Lambdam) of said two registered values, a third step of setting said calculated average as a reference value (Ref) of the air / fuel ratio.

The invention discloses a binary quantization FIR system-oriented data tampering attack detection method and system, and relates to the technical field of network security. Comprises: an input node obtains system input data; inputting the system input data into the FIR system to obtain an FIR system output; the binary sensor measures the output of the FIR system to obtain a measurement result; transmitting a measurement result to a data center through a communication network; the data center detects the data transmission process through the received data to obtain a detection result; wherein the detection result is whether the data transmission process of the communication network is attacked or not. According to the method, a detection algorithm is designed to judge whether a system is attacked or not, an online form of the algorithm is given, and meanwhile, the performance of the algorithm is analyzed, including calculation of a misjudgment rate and a missed judgment rate and the relation between the misjudgment rate and the data length and between the misjudgment rate and the data length and between prior information of system parameters and an attack strategy.

A sensor device comprising a passive matrix array of electroactive sensor elements arranged in rows and columns. In one example, each sensor element generates a binary sensor signal such that a total signal at each row and at each column enables any pattern of external inputs to be determined. This provides a first way to determine a pattern of sensor elements which are sensing an input using a passive matrix addressing scheme. In another example, each sensor element generates a sensor signal with a different frequency characteristic. This provides another way to enable any pattern of external inputs to be determined.