72 results about "Passive networks" patented technology

Systems and methods for mathematical modeling of the hardware and software stack of commodity computer platforms are provided, enabling provable guarantees on memory, device, and program execution. This approach addresses the technical problem of reliance on system agents that rely on implicit trust in the operating environment, which can be exploited by sophisticated attackers using complex threats such as memory access exploits and code / data integrity exploits. The solution provides a proactive, mathematically-backed security solution that eliminates entire classes of cyberattacks by design, ensuring realizable guarantees on commodity computer platforms running hardware and software stack elements at the lowest operating level. This approach has significant advantages over current reactive cybersecurity methods, including reduced complexity and overhead, and increased confidence in the integrity of the system. The solution's main uses include providing mathematically-backed security and availability guarantees for critical infrastructure, financial institutions, and other organizations vulnerable to cyberattacks.

The invention discloses a fast universal passivity macro-modeling method based on Hamiltonian matrix pure virtual feature values. The method comprises the steps that n-port passive network parameters obtained through simulation or measurement serve as an original data set; rational fitting is carried out on the passive data set, and a macro model is established; calculating a pure virtual characteristic value of a Hamiltonian matrix M of the macro model, and judging the passivity of the macro model; carrying out passivity repair on the initial model according to a passivity judgment result; and inputting the passive macro model into a circuit simulator for simulation. According to the method, only the pure virtual feature value of the Hamiltonian matrix is calculated to achieve rapid passivity detection of the macro model, the method is suitable for macro modeling of symmetric and asymmetric models, the method has the characteristic of universality, and when the method is applied to integrated circuit design, the convergence of circuit simulation can be improved, the macro modeling time is shortened, the circuit simulation is accelerated, and the circuit simulation efficiency is improved. And the design and market period of electronic products is shortened.

A zero-power IoT reader, e.g., a UE, may be configured to broadcast, for other wireless devices, a first control information including a first scheduling information of a first resource pool including first time-frequency resources for zero-power IoT communication, and perform the zero-power IoT communication in the first resource pool associated with the first control information from one or more passive network entities. The zero-power IoT reader may also receive a second control information including a second scheduling information of a second resource pool including second time-frequency resources from a second UE among the other wireless devices, and determine the first resource pool including the first time-frequency resources for zero-power IoT communication based on the second control information.

A triple-active bridge (TAB) converter and methods to optimize the same is disclosed. The TAB converter includes a high-frequency three-winding transformer and three active full bridges, each coupled to the high-frequency transformer through a different passive network. The converter also includes a centralized controller providing gating pulses to semiconductor switches within the active full bridges, a power pulsating buffer (PPB) configured to reduce capacitor requirements on the DC port, and an unfolder stage to convert rectified AC voltage to a pure sine wave. The centralized controller may optimize performance by varying at least one of a switching frequency, a duty cycle of bridge voltages, and a phase shift between bridge voltages. The PPB may include a buck active power decoupler with a half-bridge, inductor, and capacitors, and also a primary full bridge and a power transfer impedance block.

The invention discloses a passive gasket type pressure sensor based on parametric negative resistance self-excitation and a monitoring method, and belongs to the technical field of bolt loosening state monitoring. The sensor is improved based on a standard metal flat washer, a piezoelectric sensing unit, a pilot frequency response passive network and a passive heat-induced drift suppression circuit are embedded, and an embedding area is filled with organic silica gel. The pilot frequency response passive network uses parametric reactance to modulate nuclear strength nonlinearity to generate active negative resistance, weak radio frequency energy self-excitation is achieved, and bolt axial load change is mapped into echo frequency sideband drift; the thermally induced drift suppression circuit eliminates temperature drift. According to monitoring, the environment temperature is determined through temperature echoes, a frequency-load curve is matched, and then the bolt loosening state is determined through bolt loosening state echoes. Passive, wireless, maintenance-free and high-precision monitoring is realized, and the problems of high starting threshold, near communication, poor integration and the like in the prior art are solved.

The invention provides a passive network system configuration method and device, electronic equipment, a storage medium and a computer program product, and relates to the technical field of passive Internet of Things, and the method comprises the steps: obtaining first information; wherein the first information is used for representing at least one of service requirement information, state information of network equipment and configuration information of passive equipment; analyzing based on the first information and multi-type configuration constraints for the passive device, and determining target configuration information of the passive network; wherein the target configuration information meets the service requirement information and the configuration constraint. According to the embodiment of the invention, more and comprehensive factors are considered when the target configuration information of the passive network is determined, so that network configuration and resource allocation can be intelligently optimized based on the more and comprehensive factors, and the determined target configuration information can meet service requirements and improve the performance of a network system.

Certain aspects of the present disclosure provide techniques for uplink and / or downlink communication synchronization. A method generally includes receiving a first preamble in one or more first symbols; transmitting, to a network entity based on the first preamble, a first backscatter signal; and transmitting, to the network entity in one or more second symbols, a second backscatter signal based on a carrier wave, the second backscatter signal comprising a second preamble, the second backscatter signal being transmitted in response to receipt of the first preamble, wherein: the one or more second symbols are offset in time from the one or more first symbols based on a timing offset configured at the apparatus and a timing error offset of the apparatus, and the second preamble is configured for synchronization of uplink communications between the apparatus and the network entity.

A device comprises an input stage, a signal distribution network comprising a plurality of passive elements, and a plurality of output stages coupled to the signal distribution network. The input stage is configured to drive a signal onto the signal distribution network. The signal distribution network is configured to distribute the signal to the plurality of output stages. Each output stage of the plurality of output stages comprises a variable resistance element and a variable reactance element, for tuning a complex input impedance of the output stage to obtain a signal transfer characteristic for transferring the signal from the input stage to the output stage over the signal distribution network.

The disclosed systems, methods and computer readable media relate to managing Non-Volatile Memory Express (NVMe) over Transmission Control Protocol (TCP) (NVMeOTCP) connections between a smart network interface card (smartNIC) and a block storage data plane (BSDP) of a cloud computing environment. A software agent (“agent”) executing at the smartNIC may manage a number of network paths (active and, in some cases, passive network paths). The agent may monitor the network traffic (e.g., input / output operations (IOPS)) through the paths (e.g., using established NVMeOTCP connections corresponding to the paths). If a condition is met relating to a performance threshold associated with the monitored paths, the agent may increase or decrease the number established NVMeOTCP connections to match real time network conditions.

The present invention discloses a three-frequency-in-one transceiver assembly for a meteorological phased array radar, and specifically relates to the technical field of meteorological radars, including a phased array antenna substrate, wherein the upper end surface of the phased array antenna substrate is provided with a plurality of TR structures. The present invention realizes L-band wind profile detection and transceiver, L-band meteorological satellite reception, and C-band meteorological satellite reception through multi-layer cavity division and same-frequency common cavity design, and the overall component size envelope is nearly within 10 cubic centimeters, and each functional cavity design is very reasonable, and the passive network cavity takes into account the resonant natural frequency, and the active circuit cavity takes into account shielding, heat dissipation and other functions. In order to meet the requirements of easy maintenance in the later stage, it is designed as an overall modular design, and all device binding data are stored in an internal calibration data storage chip. If a module needs to be replaced in the later stage due to a fault, it can be directly replaced and automatically matched without recalibrating and calibrating the entire radar system.

A data canceler is disclosed herein. The data canceler includes a first inverter circuit. The first inverter circuit is configured to generate a first inverted data signal based on an inversion of a first unwanted data signal supplied via a first input terminal of a data transmission network. The data canceler includes a passive network comprising a plurality of passive components arranged between an output terminal of the transmission network and an output of the first inverter circuit. The passive network is configured to receive, via the output terminal of the transmission network, a mixed data signal comprising a target data signal and the first unwanted data signal, and further combine the first inverted data signal and the mixed data signal across the passive components to cancel the first unwanted data signal in the mixed data signal.

The present invention discloses a method, system and computer program for characterising geographic areas. The method comprises accessing user data from a mobile network operator, said data being associated with active and / or passive network events from the connections established between user mobile devices and mobile network operator towers; calculating a set of user parameters using said accessed data, the calculation of the parameters comprising: calculating a visit parameter, calculating points of interest of each user, and obtaining web browsing data from mobile devices based on obtaining network traffic from each device in the network; and determining a characterisation profile of a geographic area by calculating a socio-demographic profile of the temporary and permanent resident users in said geographic area.

The present invention discloses a passive networked radar target detection method based on waveform characteristics, belonging to the field of target identification technology. The method includes obtaining a collected direct wave signal and a reflected wave signal to be detected; reading a historical database containing prior information of several historical direct waves and their emission source signals; searching the historical database for the historical direct wave with the highest similarity to the direct wave signal, and using the prior information of its emission source signal as the prior information of the direct wave signal; selecting a detector based on the prior information, inputting the direct wave signal and the reflected wave signal into the detector for detection, and outputting detection information; comparing the detection information with a preset detection threshold. If the detection information is greater than the detection threshold, a target is present; if the detection information is less than the detection threshold, a target is not present. This solution solves the problem of low target detection accuracy in low signal-to-noise ratio environments in existing networked passive radar target detection methods.

Methods and systems are disclosed for integrating cyber threat intelligence (CTI), threat metadata, and threat intelligence gateways with analysis systems to form efficient and effective system for active, proactive, and reactive network protection. A network gateway may be composed of multiple stages. A first stage may include a threat intelligence gateway (TIG). A second stage may include one or more cyber analysis systems that ingest TIG-filtered communications and associated threat metadata signals. A third stage may include network protection logic that determines which protective actions. The gateway may be provisioned and configured with rules that specify the network protection policies to be enforced. The gateway may ingest all communications flowing between the protected network and the unprotected network.

The invention relates to the technical field of construction site safety monitoring and Internet of Things, and discloses an automatic alarm safety helmet which comprises a safety helmet body, an integrated module and a lower jaw belt are detachably installed on the safety helmet body, and a resistance sensor and a reference capacitor assembly which are used for making contact with the skin of a wearer are packaged in the lower jaw belt. The resistance inductor and the reference capacitor assembly are connected to form a passive network of an RC oscillation detection loop, and a chip, a WiFi module, a buzzer, a power supply, a signal excitation source and a frequency meter are arranged in the integrated module. According to the invention, the reference capacitor assembly is implanted in the mandibular belt and the RC oscillation detection loop is constructed, and the wearing judgment is carried out by using the characteristic that the oscillation frequency is changed after the human skin resistor is connected to the circuit, so that the problem of cheating caused by the pressing of a heavy object or the short circuit of a lead in the prior art is effectively solved, and the monitoring accuracy and the anti-cheating capability are improved.

The present invention discloses a combined passive and active network flexible protection device, which includes: a passive protection device, an active protection network, movable anchor rods, a baffle, a baffle support rod and a baffle hinge seat. The passive protection device is arranged on a slope on one side of a road surface. The passive protection device includes a passive protection network. The baffle is arranged on the slope through the baffle hinge seat. One end of the baffle support rod is hinged to the side of the baffle away from the passive protection device, and the other end of the baffle support rod is locked by the movable anchor rod movably installed on the slope. One end of the active protection network is connected to the passive protection network, and the other end of the active protection network is connected to the movable anchor rod. The present invention slows down the speed of falling rocks through the passive protection device, and fixes the falling rocks to the slope surface of the slope through the active protection network, which can prevent the active protection network from collapsing due to the accumulation of falling rocks, and avoid the falling rocks rolling onto the road, bringing risks to the vehicle traffic on the road.

The invention belongs to the technical field of wireless communication, and particularly relates to a digital power amplifier supporting broadband modulation signals. Comprising a digital power amplifier array and a passive network, the digital power amplifier array is composed of a plurality of units, the input end of the digital power amplifier array is connected with input signals, and the output end is connected with the passive network; the input signals are divided into a plurality of groups, each group of signals consists of a flag bit signal, an amplitude signal and a local oscillator signal, each group of signals is respectively sent into each unit in the digital power amplifier array, and the local oscillator phase selection operation is completed in the unit and the local oscillator signal through a local oscillator phase selection circuit; the synchronism between the phase signal and the amplitude signal is ensured; in each unit, one of the flag bit signals is selected from the differential local oscillator signals to be transmitted backwards for output, and meanwhile, the amplitude signals are subjected to delay synchronization through the identical dummy circuits. The invention has the characteristics of supporting high bandwidth and high linearity, and is suitable for wireless communication application with wide signal bandwidth such as Wi-Fi 7, 5G and the like.

A low noise amplifier includes a plurality of serially-coupled amplifier stages. Each serially-coupled amplifier stage provides a respective amplified signal, wherein a first amplifier stage receives an input signal, and a last amplifier stage provides an amplified output signal. Each serially-coupled amplifier stage includes a single-ended amplifier having an input, and an output providing the respective amplified signal, a first passive network, and a second passive network. The first passive network has a first terminal forming an input of a respective one of said plurality of serially-coupled amplifier stages, and a second terminal coupled to said input of said single-ended amplifier, the first passive network including a first capacitor coupled in series between the first and said second terminals of the first passive network. The second passive network is coupled in parallel to the single-ended amplifier and between the input and the output of the single-ended amplifier.

The invention discloses a passive device synthesis method based on a convolutional neural network and a related device, and belongs to the field of millimeter wave and terahertz passive device design, and the method comprises the following steps: pixelating a plurality of arbitrary passive network structures, and carrying out the electromagnetic simulation of the pixelated arbitrary passive network structures, obtaining a two-dimensional matrix and a corresponding S parameter; expanding a data set corresponding to the S parameter and the two-dimensional matrix by using the generative adversarial network; constructing a function fitting relationship between the two-dimensional matrix and the S parameter by using a relationship fitting model based on the two-dimensional matrix and the corresponding S parameter; and based on a function fitting relationship between the two-dimensional matrix and the S parameter, optimizing the S parameter through a global optimization algorithm to obtain an optimal passive network structure, and realizing passive device integration. According to the invention, the problem that the relationship between the S parameter of the passive network and the topological structure is difficult to analyze can be solved.

Systems, apparatus, processes, and computer readable media for wireless communication are disclosed. For example, a passive network device can receive an orthogonal frequency division multiplexing (OFDM) signal from a network device. The passive network device can transmit a backscatter signal based on the OFDM signal, the backscatter signal including frequencies of the OFDM signal shifted to non-overlapping frequencies.

This invention discloses an asymmetric nonlinear temperature-compensated attenuator and its design method, belonging to the field of electronic circuit technology. Specifically, it is based on a T-type or π-type two-port attenuation network design. The series and parallel arms are selected from parallel or series equivalent resistance units, and the series and parallel arms of the same type of two-port attenuation network are different. The parallel equivalent resistance unit consists of a first PTC thermistor, a first NTC thermistor, and a first fixed resistor connected in parallel. The series equivalent resistance unit consists of a second PTC thermistor, a second NTC thermistor, and a second fixed resistor. The second NTC thermistor is connected in parallel with the second fixed resistor, and then connected in series with the second PTC thermistor. This invention achieves accurate mirror fitting of non-monotonic temperature characteristics in a passive network by constructing equivalent resistance units with extreme points, flexibly adapting to various asymmetric nonlinear curves.

Systems, apparatus, processes, and computer-readable media for wireless communication are disclosed. In some aspects, a network device can receive a signal including a reflected signal reflected from a passive network device and one or more interfering signals. The network device can determine a propagation delay based on a differential carrier phase estimate at a harmonic frequency of a received signal in the frequency domain. The network device can determine a location of the passive network device using the propagation delay. In some cases, the network device can transmit a source signal to the passive network device, in which case the reflected signal can be generated by reflection of the source signal from the passive network device.

The invention discloses an SPICE model generation method considering passive network thermal noise, and the method comprises the steps: carrying out the modeling of a multi-port passive network S parameter through employing a passive macro-modeling algorithm, obtaining a passive state space model, constructing a Riccati equation, solving the Riccati equation, obtaining a state space model of a lossless network, employing a state space-based SPICE model generation method, carrying out the solving of a Riccati equation, and carrying out the calculation of the Riccati equation. And obtaining an equivalent SPICE circuit model, and carrying out joint simulation by utilizing the SPICE circuit model and other modules in the circuit to obtain an analysis result of field-circuit co-simulation. According to the method, a state space model for representing an original system is decomposed into a lossless network and a pure resistance network, wherein the lossless network only considers the transmission characteristics of a passive network and can be synthesized by using a noiseless model device; and the pure resistance network is used for equivalent thermal noise generated by the passive network, so that the accuracy of a result in simulation related to noise analysis is ensured to be kept.

The present application relates to the technical field of passive Internet of Things, and provides a passive network system configuration method and apparatus, an electronic device, a storage medium, and a computer program product. The method comprises: obtaining first information, wherein the first information is used for representing at least one of service requirement information, state information of a network device and configuration information of a passive device; performing analysis on the basis of the first information and multi-type configuration constraints for the passive device, and determining target configuration information of a passive network, wherein the target configuration information meets the service requirement information and the configuration constraints.

A method for wireless communication at a wireless network entity and related apparatus are provided. In the method, the wireless network entity indicates, for a radio frequency (RF) source selection process, for a first RF source to transmit a first reference signal and a second RF source to transmit a second reference signal. The wireless network entity receives backscattered signals including a first backscattered signal and a second backscattered signal from a passive network device, the first backscattered signal based on the first reference signal, and the second backscattered signal based on the second reference signal; and indicates an RF source selection from the first RF source and the second RF source based on the first backscattered signal and the second backscattered signal.

The invention relates to the technical field of Internet of Things analysis, and provides an Internet of Things supply chain relation evaluation method based on passive network flow analysis. Comprising the following steps: performing automatic traffic capture on traffic information of Internet of Things equipment to obtain a data set of traffic data; performing fingerprint information extraction on the data set of the traffic data to obtain a traffic fingerprint of the data set of the traffic data; and performing fingerprint cross analysis on the flow fingerprint to obtain a supply chain relationship of the Internet of Things equipment. According to the method, the problems of high complexity and large manpower consumption of a traditional firmware-based third-party component analysis method are solved, and the efficiency is improved. According to the invention, the complexity is reduced, the manual intervention is reduced, in addition, the sharing condition of the components of the Internet of Things equipment can be disclosed, and the supply chain relationship between the Internet of Things equipment can be further deduced.

This invention relates to the field of electronic circuit technology, specifically to a passive network structure for suppressing the influence of inductor self-resonance. The structure includes: a large inductor with a resistor connected in parallel across its terminals and a small inductor connected in series; the resistor is used to dissipate resonant energy, and the small inductor is used to adjust the resonant frequency; the large inductor, resistor, and small inductor are sequentially connected via a connection structure; the connection structure includes a first connection structure and a second connection structure; the first connection structure connects the large inductor and the resistor, and the second connection structure connects the large inductor and the small inductor. This invention features a simple structure, low power consumption, and strong adaptability, making it suitable for high-frequency communication, power supply filtering, and other applications requiring high inductor performance.

The invention discloses a passive auxiliary soft switching power amplifier based on hybrid ZVS (Zero Voltage Switching) / ZCS (Zero Voltage Switching). The passive auxiliary soft switching power amplifier comprises a double-direct-current voltage module, a double-resonant capacitor and resonant inductor passive soft switching network, a midpoint double-path parallel bridge arm, a double-switching tube high-frequency main power output bridge arm, a double-parallel auxiliary capacitor and an LC filtering output network. The passive auxiliary device adopted by the invention is simple, an additional auxiliary switch tube and a driving module are not needed, and the control complexity is greatly reduced; the design that the resonant inductor is connected in series with the midpoint bridge arm avoids the direct connection risk of the bridge arm fundamentally, dead time does not need to be set, and the operation reliability is improved; meanwhile, a hardware condition is created for realizing hybrid ZVS / ZCS for the full-switching tube, so that the switching loss is reduced, the heat loss of the whole machine is reduced due to the low-loss characteristic of the passive network, the heat dissipation design can be simplified, and the service life of the device can be prolonged; and the network structure is simple, small in size and easy to integrate.

This application discloses a passive network asset discovery method and apparatus. The method includes: connecting raw network traffic to the Suricata network threat detection engine, generating a target data stream through the Suricata network threat detection engine, processing the network layer data stream based on a PoF fingerprinting tool to extract network layer fingerprint information, simultaneously processing the application layer data stream based on the Suricata network threat detection engine to extract application layer fingerprint information, and generating an asset discovery result based on the network layer fingerprint information, application layer fingerprint information, other fingerprint information, and fingerprint matching confidence. This solution embeds PoF's passive asset identification capability into the Suricata processing pipeline as a dynamic library, fully utilizing Suricata's high-performance traffic processing and application parsing and identification capabilities to improve the performance and accuracy of asset discovery; and it uses a completely passive approach to discover assets, without generating any probe traffic, thus not affecting the network or business systems.

A data canceler is disclosed herein. The data canceler includes a first inverter circuit. The first inverter circuit is configured to generate a first inverted data signal based on an inversion of a first unwanted data signal supplied via a first input terminal of a data transmission network. The data canceler includes a passive network comprising a plurality of passive components arranged between an output terminal of the transmission network and an output of the first inverter circuit. The passive network is configured to receive, via the output terminal of the transmission network, a mixed data signal comprising a target data signal and the first unwanted data signal, and further combine the first inverted data signal and the mixed data signal across the passive components to cancel the first unwanted data signal in the mixed data signal.