Abstract: An agricultural field management system includes a plurality of communication devices arranged in an agricultural field and configured to detect a physical quantity indicating dynamic movement of objects, a dispatcher arranged in the agricultural field and configured to communicate with each of the communication devices, a management apparatus configured to move in the agricultural field. Each of the communication devices is configured to generate first notification information indicating a danger the communication devices, and second notification information indicating an emergency having a urgency degree higher than the danger of the first notification information to the communication devices, defer to transmit the second notification information to the dispatcher until receiving activation information from the dispatcher, and transmit the second notification information to the dispatcher upon receiving the activation information.

Abstract: The disclosure relates to methods and related systems for precision crop modeling and management using the same. Precision crop modeling and management can be incorporated into various methods for growing plants such as crop plants and various methods for managing the growth of such plants in a particular field. The methods generally utilize in-season information relating to weather conditions actually experienced by the field to prepare mid-season, updated crop management plans. A crop management plan is determined using a crop model incorporating a variety of inputs and plant-specific material and energy balances to specify one or more grower-controlled management parameters. An updated plan for a given field can be followed by a grower to increase crop yield and/or optimize one or more other crop or field parameters.

Abstract: Systems and methods for monitoring the cleaning conditions of a facility include the use of a cleaning apparatus with a tracking device. The tracking device is adapted to detect an operating parameter of the cleaning apparatus. In embodiments, the operating parameter includes at least one of the location of the cleaning apparatus within a facility over time, the movement of the cleaning apparatus, and the dynamic coefficient of friction encountered by a cleaning head of the cleaning apparatus as it traverses a surface being cleaned in the facility.

Abstract: Disclosed is a fault signal recovery system including a data processor configured to generate a signal subset U* by removing, from a signal set U for a plurality of tags, some tags including a fault signal, and a first learning signal subset X* by removing tags disposed at positions corresponding to the some tags from a learning signal set X containing only tags of normal signals, a modeling unit configured to generate feature information F extractable from the first learning signal subset X* and recovery information P on a plurality of recovery models usable for restoring the fault signal, and a recovery unit configured to estimate and recover normal signals for the some tags based on the signal subset U*, the first learning signal subset X*, the feature information F, the recovery information P on the plurality of recovery models, and similarity Z.

Abstract: An alarm notification system can enable a clinician to respond to an alarm notification received via a computing device, which may have more advanced functionality than a pager. The clinician's device can include a notification client which can respond to alarm notifications. The notification client can also provide one or more user interfaces that enable the clinician to view information about an alarm, such as information about a patient's status, physiological parameter values, trend data, audio/video of the patient, combinations of the same, or the like. Further, the notification client can provide functionality for a clinician to respond to an alarm, annotate an alarm, and/or indicate that the clinician can or cannot respond to the alarm, among other features. In addition, the clinician device can also (or instead) include an admit module that provides for automatic association of a patient to a device or location.

Abstract: Embodiments match sensor data output by a sensor to a trained pattern. Embodiments form a plurality of windows of an identified pattern from the sensor data, each of the plurality of windows having a substantially equal window length to a length of the trained pattern. For each of the windows, embodiments generate a corresponding first Symbolic Aggregate approximation (“SAX”) word, determine a Hamming distance between the first SAX word and a second SAX word corresponding to the trained pattern, and determine a final distance score based on coefficients between the first SAX word and the second SAX word. For each of the windows, embodiments determine a number of positions in the first SAX word that do not contribute to the final distance score, update the Hamming distance after eliminating the number of positions and determine an average distance based on the final distance score and the updated Hamming distance.

Abstract: A garment comprising a central portion including a plurality of electrocardiogram leads, a plurality of auscultation acoustic sensor devices, a flexible respiratory sensor located so that it substantially circumscribes the garment, one or more blood pressure cuff portions located on an at least one arm portion of the garment, wherein the cuff portions are adapted to be loosened and/or tightened and a hardware device for sending and receiving signals via wired or wireless communication.

Abstract: Systems and methods to track the respective locations of subjects over time. The system identifies subjects who, overtime, were co-located with one another suggesting they are associated with one another, and the pairs are analyzed. For each of the subjects, the system produces a vector that quantifies the subject's location history by including a respective weight for each combination of a time interval with a geographical area. The vectors are compared using a distance metric, and any pair of subjects whose vectors are sufficiently close are flagged as being an associated pair. The respective vector belonging to each subject is normalized to account for the total number of other subjects who were co-located with the subject. For each interval-area pair, the system may compute the frequency of the interval-area pair, and then divide each weight that corresponds to the interval-area pair by the frequency of the interval-area pair.

Abstract: The disclosure provides an inspection method determining whether there is a defect in an electrode structural body including a cathode electrode layer, an electrolyte layer and an anode electrode layer electrode by an image processor. The inspection method includes a step of scanning the electrode structural body along a scanning direction to obtain a continuous transmission image, a step of digitizing a shade of each pixel of the transmission image, a step of calculating a difference value between a grayscale of a specific pixel and a median value of grayscales of comparison pixels located in front or rear of the specific pixel along the scanning direction, and a step of determining presence or absence of the defect according to the difference value and a predetermined threshold value.

Abstract: Systems and methods to perform remote monitoring on a vehicle are described. One embodiment determines a state of a vehicle, where data associated with the vehicle is collected and logged. The data is transmitted to a data server. The data is processed, and vehicle information is extracted from the data. A state of the vehicle is determined based on the vehicle information.

Abstract: An ultrasonic processing apparatus is provided. The ultrasonic processing apparatus comprises an ultrasonic therapy transducer (ATA) adapted to generate focused ultrasonic waves; an ultrasonic imaging transducer (UID) connected to the ultrasonic therapy transducer; and an electronic system configured to control the ultrasonic therapy transducer so as to emit a pulse train of ultrasonic waves generating a cloud of cavitation bubbles (BC); control the ultrasonic imaging transducer so as to acquire at least one image of the region to be processed; acquire a plurality of echo signals of ultrasonic wave pulses emitted by the ultrasonic therapy transducer captured by the ultrasonic imaging transducer; process the plurality of echo signals so as to reconstruct an image of the cloud of cavitation bubbles; and display said image of the cloud of cavitation bubbles superposed on said image of the region to be processed. The processing includes spatio-temporal filtering.

Abstract: A sonic speed measurement device includes a reception array in which a plurality of reception elements which output reception signals in response to reception of an ultrasonic wave are disposed in one direction, a phase difference detection portion that detects a phase difference between the reception signals output from the reception elements adjacent to each other in a case where the plurality of reception elements receive the ultrasonic wave which propagates in a spherical wave shape from a target point, and a sonic speed calculation portion that calculates a sonic speed of the ultrasonic wave on the basis of the phase difference.

Abstract: Secure range estimates as described herein may include determining a range estimate between two Bluetooth enabled devices based, at least in part, on round trip phase measurements of wireless signals transmitted between the devices. In one example, a range estimate may include determining a first set of relative carrier measurements at a first set of frequencies, determining a second set of relative carrier measurements based on the first set at the second set of frequencies; and combining the first set and the second set to estimate a distance between the devices.

Abstract: At least one speech model, which includes one or more acoustic states exhibited in one or more reference speech samples and defines allowed transitions between the acoustic states, is obtained. At least one test speech sample produced by a subject is received. A plurality of test-sample feature vectors that quantify acoustic features of different respective portions of the test speech sample are computed. The test speech sample is mapped to a minimum-distance sequence of the acoustic states, by mapping the test-sample feature vectors to respective ones of the acoustic states such that a first total distance between the test-sample feature vectors and the respective ones of the acoustic states is minimized. A different, second total distance between the test-sample feature vectors and the respective ones of the acoustic states is computed. Responsively to the second total distance, an output indicating a physiological state of the subject is generated.

Abstract: The present application relates to a system for performing time-resolved interferometric spectroscopy of incoming light. In some embodiments, the system includes one or more optical elements, a photo-detector, a capacitance detector, and one or more processors. Upon application of a varying input signal to the one or more optical elements, a change to an optical characteristic is caused resulting in a changing interference pattern produced by the incoming light incident on the one or more optical elements. During the application of the varying input signal, the photo-detector may detect an intensity of light output from the one or more optical elements and the capacitance detector may detect a capacitance of the one or more optical elements.

Abstract: A redundant memory for use with an instrument arranged to acquire and store data while underwater. Such an instrument comprises a main housing which contains instrument electronics that acquires and may process data received from one or more sensors, with a primary memory located within the main housing and arranged to store at least some of the acquired and/or processed data, and a secondary memory which stores a copy of the data stored in the primary memory. The instrumentation may be arranged to write data to the primary and secondary memories contemporaneously in either a burst or continuous mode, or with primary memory backed up to secondary memory periodically and/or in response to the occurrence of a triggering event. The instrument may comprise a second housing within which the secondary memory is located. The main and second housings may be contained within a common enclosure.

Abstract: In a dark-field metrology method using a small target, a characteristic of an image of the target, obtained using a single diffraction order, is determined by fitting a combination fit function to the measured image. The combination fit function includes terms selected to represent aspects of the physical sensor and the target. Some coefficients of the combination fit function are determined based on parameters of the measurement process and/or target. In an embodiment the combination fit function includes jinc functions representing the point spread function of a pupil stop in the imaging system.

Abstract: A radar system, apparatus, architecture, and method are provided for generating a mono-static virtual array aperture by using a radar control processing unit to construct a mono-static MIMO virtual array aperture from radar signals transmitted orthogonally from transmit antennas and received at each receive antennas, and to construct a mono-static MIMO forward difference virtual array aperture by performing forward difference co-array processing on the mono-static MIMO virtual array aperture to fill in holes in the mono-static MIMO virtual array aperture, thereby mitigating or suppressing spurious sidelobes caused by gaps or holes in the mono-static MIMO virtual array aperture.

Abstract: A transceiver is disclosed. The transceiver accesses a CFO (carrier frequency offset) estimate, and, for each of one or more working frequencies: transmits a transmitter RF signal at each working frequency, receives a receiver RF signal at each working frequency, and generates first I/Q measurement data based at least in part on the received receiver RF signal and the CFO estimate. In some embodiments, the transceiver receives I/Q measurement information for each working frequency. In some embodiments, the transceiver generates second I/Q measurement data based at least in part on the received I/Q measurement information. In some embodiments, the transceiver estimates a distance between the antenna and an antenna of another device based at least in part on the first and second I/Q measurement data.

Abstract: Providing for increased flexibility for large scale parity, the including: writing data to a storage system, including utilizing a first data protection scheme; identifying, for storage media in the storage system, characteristics of the storage media; identifying, in dependence up the characteristics for the storage media, a second data protection scheme to use for the data; and writing the data to the to the storage system utilizing the second data protection scheme.

Abstract: An alarm notification system can enable a clinician to respond to an alarm notification received via a computing device, which may have more advanced functionality than a pager. The clinician's device can include a notification client which can respond to alarm notifications. The notification client can also provide one or more user interfaces that enable the clinician to view information about an alarm, such as information about a patient's status, physiological parameter values, trend data, audio/video of the patient, combinations of the same, or the like. Further, the notification client can provide functionality for a clinician to respond to an alarm, annotate an alarm, and/or indicate that the clinician can or cannot respond to the alarm, among other features. In addition, the clinician device can also (or instead) include an admit module that provides for automatic association of a patient to a device or location.

Abstract: A method for providing sensor data, including providing a maximum measuring range for the sensor, providing a first measuring range which is within the maximum measuring range, providing the sensor data in a data structure having a size that corresponds to the first measuring range, providing a second measuring range which is different from the first measuring range and is within the maximum measuring range, adapting the provided sensor data of the first measuring range for the second measuring range so that the adapted sensor data are provided in an expanded data structure having a size that corresponds to the maximum measuring range, and the provided sensor data being arranged as a function of the difference of the size between the maximum and the second measuring range and the size of the second measuring range within the expanded data structure, and the sensor-data-free sections being filled with values.

Abstract: A method of parameter estimation for a multi-input multi-output system based on deep learning is executed. The method includes creating a connection between the base station and a user device entering a coverage of the base station, transmitting real-time channel information from the user device to the base station through the connection, optimizing a parameter for the user device based on the real-time channel information through a deep learning algorithm, transmitting the optimized parameter to the user device, and applying the optimized parameter in a signal detection for the multi-input multi-output system at the user device. The real-time channel information is a channel status of the user device upon the creation of the connection between the base station and the user device. Another method of parameter estimation for a multi-input multi-output system having a base station and a plurality of user devices is also disclosed.

Abstract: The present application provides a vector denoising method and a vector denoising device for multicomponent seismic data, which relate to the field of seismic data processing technologies. The vector denoising method for multicomponent seismic data includes: decomposing multicomponent seismic gather data to obtain a plurality of small multicomponent seismic data; obtaining quaternary frequency domain seismic data by performing a quaternary Fourier transformation according to each of the plurality of small multicomponent seismic data; extracting frequency slices from the quaternary frequency domain seismic data in a quaternary frequency domain, and filtering the frequency slices by using a Cadzow filtering method to obtain filtered quaternary frequency domain seismic data; and performing an inverse quaternary Fourier transformation on the filtered quaternary frequency domain seismic data to obtain filtered seismic data of each component.

Abstract: In some examples, a computer-implemented method for determining a state of a dependent user is provided. A flag is generated if a measured first parameter for a dependent user is within a range of values of a respective defined first parameter and a measured second parameter for the dependent user is within a range of values of a respective defined second parameter, and the measured first parameter and the measured second parameter occur within a temporal window.

Abstract: Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.

Abstract: A method for enhancing gating performance of a cell sorter to prepare an enriched specimen for optical tomography cell analysis includes introducing a specimen into a FACS to generate 2D event data; generating a first scatterplot of the 2D data; identifying target objects; constructing a boundary within the first scatterplot to produce a first gate; counting target objects within the first gate; comparing the number of target objects within the first gate to a first predetermined value and adjusting the first gate as necessary. A boundary around a set of target objects is constructed in a second scatterplot to produce a subset second gate and target objects within the second gate are counted and the count compared to a second predetermined value. When a boundary around target objects meets specifications the first and second gates are stored in memory and used to enrich patient specimens.

Abstract: A method of operating a battery system for providing electric energy to a vehicle. Sensor signals representing physical quantities of individual cells and/or individual modules of at least one battery of the battery system are generated. The sensor signals are transferred to a first and a second system controller. Both the first and second system controller evaluates the sensor signals and controls the battery system, depending on corresponding evaluation results. The first system controller is operated in combination with a first monitoring device and the second system controller is operated in combination with a second monitoring device. The first monitoring device monitors an operation of the second system controller and the second monitoring device monitors an operation of the first system controller. Depending on monitoring results of the first monitoring device and of the second monitoring device, the battery system is controlled.

Abstract: The present disclosure relates to a monitoring method, device and system for an industrial control system and a computer-readable medium. They are used to effectively monitor the industrial control system. The method includes: obtaining first network traffic transmitted in the industrial control system in a passive monitoring manner; determining whether it is necessary to monitor the industrial control system in an active probe manner according to characteristics of industrial devices in the industrial control system in the first network traffic; and upon determining it is necessary to monitor the industrial control system in an active probe manner, determining a target industrial device according to the characteristics of the industrial devices in the industrial control system in the first network traffic, sending third network traffic to the determined target industrial device, and obtaining second network traffic sent by the target industrial device in response to the third network traffic.

Abstract: An integrated circuit includes a processing engine configured to execute instructions that are synchronized using a set of events. The integrated circuit also includes a set of event registers and an age bit register. Each event in the set of events corresponds to a respective event register in the set of event registers. The age bit register includes a set of age bits, where each age bit in the age bit register corresponds to a respective event register in the set of event registers. Each age bit in the age bit register is configured to be set by an external circuit and to be cleared in response to a value change in a corresponding event register in the set of event registers. Executing the instructions by the processing engine changes a value of an event register in the set of event registers.

Abstract: A system, for measuring a physical quantity representative of air quality in an observation zone, comprises a mapping with a set (V) of modeled values representative of the physical quantity; means for measuring the physical quantity and possessing N positions or N trajectories in the observation zone to exhibit a spatial distribution (Sopt); and means for calculating Sopt. The calculating means are configured to construct a mesh comprising G points in the observation zone; calculate, for a given spatial distribution, an estimator ({circumflex over (V)}) of the set V for each of the G points in the mesh; calculate a cost function representative of the difference or of the likelihood between {circumflex over (V)} and the V values extracted at the G points; and extract the Sopt to minimize or maximize the cost function.

Abstract: A device for managing operation of an object capable of contactless communication with a reader magnetically coupled to the object includes a modulator configured to modulate an impedance of a load connected across terminals of an antenna of the object during a transmission phase during which information is transmitted from the object to the reader. The device further includes a monitor configured to carry out a monitoring phase, prior to the transmission phase. The monitoring phase includes a test modulation of the impedance of the load, a monitoring of a level of amplitude modulation of a modulated test signal present at the antenna of the object and resulting from the test modulation, and a capacitive modification of the impedance of the load if this level is lower than a threshold.

Abstract: Systems, methods, and computer-readable media are provided for pairing users for electronic communications over a network. In accordance with one implementation, a method is provided for pairing users that request a chat encounter or other form of electronic communication. The operations of the method include receiving a request from a first user and calculating a plurality of pairing scores, each pairing score based on a collaborative filtering score. The method further includes selecting a second user based on the plurality of pairing scores and pairing the first user with the second user to enable electronic communications.

Abstract: Social network information may be shared across online service providers. Thus, one online service provider M that maintains a membership separate from a second online service provider N may nevertheless use the social network maintained by the second online service provider N to tailor content and/or services base on such social network information.

Abstract: ABSTRACT A control method of a measurement supplied by a first turbomachine sensor by a first channel, and by a second turbomachine sensor by a second communication channel includes: acquiring the first signal from the first communication channel and the second signal from the second communication channel; determining of a validity status of each of the acquired signals; and transmitting of a signal to be processed.

Abstract: According to an aspect, there is provided a wrist-worn emergency-detection device (10), such as a fall-detection device, the emergency detection device comprising a sensor interface (30), a processor (20) and a touch-sensitive display (40), wherein the processor is arranged to: trigger an alarm based on an emergency-detection input from the sensor interface; select a cancel configuration of the device to accept a cancel alarm input from a user, the cancel alarm input instructing alarm cancellation with an input that varies from a previous time a cancel configuration was selected; format the display with user instructions according to the cancel configuration; and cancel the alarm when there is a cancel alarm input by the user in accordance with the user instructions.

Abstract: A guided sampling tool guides the sampling of datapoints in large datasets. Generally, the guided sampling tool applies a machine learning algorithm to a database of historical issues encountered by an organization to guide the sampling of a large dataset. The guided sampling tool can evaluate and change provided variables and weights for performing a sampling. After the datapoints are sampled, the guided sampling tool compares the historic transactions represented by those datapoints to baseline images to determine if the historic transactions encountered a problem or issue, which would affect the overall quality assessment.

Abstract: A wireless sensor network deployment structure combined with SFFT and COA and a frequency spectrum reconstruction method therefor. The wireless sensor network deployment structure includes: frequency spectrum acquisition sensor nodes dispersed in each region, and a sink node, wherein all the frequency spectrum acquisition sensor nodes have the same structure, and include: a broadband frequency spectrum antenna, a delayer, an ADC, a first baseband processing module, a DAC and a transmitting antenna that are successively connected; all the frequency spectrum acquisition sensor nodes are cooperated to realize SFFT and COA of signals; the signals transmitted by all the frequency spectrum acquisition sensor nodes are superimposed over the air and received by the sink node; and the sink node extracts a data domain from a received signal frame by post-processing, thereby completing frequency spectrum reconstruction.

Abstract: In part, the disclosure relates to computer-based methods, and systems suitable for evaluating a subject to determine the appropriate diagnostic tools for assessing coronary arteries. This can include assessing various blood pressure values during a resting state (without inducing hyperemia). These systems and methods can assess a patient and identify coronary dominance on per patient basis. In turn, this assessment can be used to recommend whether a resting index is appropriate or if another index such as FFR or others such be obtained diagnostic metric such as a pressure value-based ratio.

Abstract: This disclosure relates to remote control of dialysis machines. In certain aspects, a method includes receiving a request for a network connection from a dialysis machine and establishing the network connection with the dialysis machine. The method also includes receiving, from a client device, a request to access the dialysis machine, authorizing the client device to access the dialysis machine, receiving, from the dialysis machine, information pertaining to an operation of the dialysis machine, and providing, to the client device, the received information.

Abstract: A composite time series forecasting model comprising a neural network sub-model and one or more state space sub-models corresponding to individual time series is trained. During training, output of the neural network sub-model is used to determine parameters of the state space sub-models, and a loss function is computed using the values of the time series and probabilistic values generated as output by the state space sub-models. A trained version of the composite model is stored.

Abstract: A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices comprises one or more of a plurality of storage devices. A plurality of failure resilient address spaces are distributed across the plurality of storage devices such that each of the plurality of failure resilient address spaces spans a plurality of the storage devices. Each one of the plurality of failure resilient address spaces is organized into a plurality of stripes. Each one or more stripes of the plurality of stripes is part of a respective one of a plurality of forward error correction (FEC) protection domains. Each of the plurality of stripes may comprise a plurality of storage blocks. Each block of a particular one of the plurality of stripes may reside on a different one of the plurality of storage devices.

Abstract: A method and a system for fluorescence intensity of a fluorescence image are provided. In the method, fluorescence imaging is performed on a target sample to obtain a fluorescent image. Edge extraction and segmentation is performed on each detection target in the fluorescence image, to obtain the fluorescent image area of each detection target in the fluorescence image. At least one of a cumulative gray-scale value, a maximum gray-scale value and an average gray-scale value of the fluorescence image region and a diameter value of a bright field image region of each detected target is calculated. Then, the flow clustering analysis is calculated based on at least one of the cumulative grayscale value, the maximum grayscale value, the average grayscale value, and the bright field diameter value.

Abstract: The present disclosure provides detecting change of variance points of a target time series based on baseline assumptions of statistical stationarity. A target time series signal is modeled as including a trend component signal and a residual component signal. A signal cost function including at least a difference penalty function and at least one regularization term is optimized for the target signal to output a trend component signal thereof. A signal cost function including at least a difference penalty function and at least one regularization term is optimized for the residual component signal to output estimated variance thereof. Both of these cost functions may be optimized by applying an augmented Lagrangian operator. A centered cumulative sum is computed based on a cumulative sum of the estimated variance. The centered cumulative sum is segmented to yield change of variance points thereof. Such methods may provide improved performance over existing methods.

Abstract: An envelope tracking system includes an instantaneous amplitude circuitry, an instantaneous frequency circuitry, and a two-dimensional (2D) bias voltage selection circuitry. The instantaneous amplitude circuitry is configured to determine an instantaneous amplitude of a transmit signal. The instantaneous frequency circuitry is configured to determine an instantaneous frequency of the transmit signal. The two-dimensional (2D) bias voltage selection circuitry is configured to determine a bias voltage based on both the instantaneous amplitude and the instantaneous frequency of the transmit signal, and control power supply circuitry to supply the determined bias voltage to a power amplifier that is configured to amplify the transmit signal.

Abstract: Methods and apparatus are disclosed for implementing principal component analysis (PCA) within a non-volatile memory (NVM) die of solid state drive (SSD) to reduce the dimensionality of machine learning data before the data is transferred to other components of the SSD, such as to a data storage controller equipped with a machine learning engine. The machine learning data may include, for example, training images for training an image recognition system in which the SSD is installed. In some examples, the on-chip PCA components of the NVM die are configured as under-the-array or next-to-the-array components. In other examples, one or more arrays of the NVM die are configured as multiplication cores for performing PCA matrix multiplication. In still other aspects, multiple NVM dies are arranged in parallel, each with on-chip PCA components to permit parallel concurrent on-chip processing of machine learning data.

Abstract: The disclosed embodiments provide a system that detects unwanted electronic components in a target asset. During operation, the system obtains target electromagnetic interference (EMI) signals by monitoring EMI signals generated by the target asset while the target asset is running a periodic workload. Next, the system generates a target EMI fingerprint from the target EMI signals. The system then applies a compression/dilation technique to time-series signals in the target EMI fingerprint to achieve alignment with corresponding time-series signals in a reference EMI fingerprint to produce a synchronized target EMI fingerprint. Finally, the system compares the synchronized target EMI fingerprint against the reference EMI fingerprint to determine whether the target asset contains any unwanted electronic components.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating distributed jobs for cameras in a monitored property. The methods, systems, and apparatus include actions of obtaining a request to process a video based on an event detected by a first camera at a monitored property, determining resources likely to be available corresponding to the other cameras at the monitored property, allocating one or more tasks corresponding to processing the video to the other cameras based on the resources likely to be available corresponding to the other cameras, and providing the one or more allocated tasks to the first camera and to the other cameras.

Abstract: In general, embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for software process failure prevention are provided herein. Such embodiments may include steps of: generating error logs at one or more phases of a software process lifecycle; preprocessing each error log to standardize error log data; grouping the preprocessed error logs based on similar characteristics of the preprocessed error logs; associating each group of preprocessed error logs with one or more discrete events of the software process lifecycle; converting each preprocessed error log into a sequence of associated discrete events of the software process lifecycle; merging redundant sequences of associated discrete events of the software process lifecycle; and identifying one or more error causing patterns for software process failure prediction from the sequences of associated discrete events of the software process lifecycle.

Abstract: The present invention is a sample processing apparatus. The apparatus includes: a sample processing unit configured to process a sample; a display; a memory for storing an electronic manual for the sample processing apparatus; and a controller that is capable of showing a relevant part of the electronic manual on the display when a trouble has occurred in the sample processing unit, the relevant part of the electronic manual describing an operation procedure to deal with the trouble.