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: 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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: Disclosed embodiments provide techniques for identifying gaps in health management data, and combining an estimated data subset with the health management data to fill in gaps in the health management data. The health management data can be derived from a wearable electronic fitness tracking device such as a smart watch or pedometer. The estimated data subset can be derived based on historical data for the individual, average data for a demographic group, crowdsourced, or estimated based on user profile information, and/or portable electronic device information, such as from a smartphone belonging to a user. The estimated data subset is combined with the health management data to form a revised health parameter dataset. The estimated data subset may be sent to a wearable electronic fitness tracking device, which causes the wearable electronic fitness tracking device to initiate a fitness program adjustment based on the revised health parameter dataset.

Abstract: A method for automatically generating a machine learning system which ascertains as a function of an input variable time series an output variable time series approximating an actual output variable time series, the machine learning system ascertaining a value of the output variable assigned to the predefinable point in time as a function of input and output variable values at the points in time, which are in a predefinable time interval, prior to a predefinable point in time, only a subset of the values of the input variable within the interval and of the values of the output variable being incorporated when ascertaining the output variable assigned to the predefinable point in time, the subset being selected so that it includes available input variable values and the output variable values assigned to the points in time within the interval, which are in a predefinable equidistant selection raster within the interval.

Abstract: Disclosed embodiments provide techniques for identifying gaps in health management data, and combining an estimated data subset with the health management data to fill in gaps in the health management data. The health management data can be derived from a wearable electronic fitness tracking device such as a smart watch or pedometer. The estimated data subset can be derived based on historical data for the individual, average data for a demographic group, crowdsourced, or estimated based on user profile information, and/or portable electronic device information, such as from a smartphone belonging to a user. The estimated data subset is combined with the health management data to form a revised health parameter dataset. The estimated data subset may be sent to a wearable electronic fitness tracking device, which causes the wearable electronic fitness tracking device to initiate a fitness program adjustment based on the revised health parameter dataset.

Abstract: Simultaneous 2-D room shape reconstruction and self-localization is accomplished using no pre-established infrastructure. A mobile device with co-located microphone and loudspeaker is used to collect echoes reflected by the walls. The system uniquely recovers arbitrary 2-D convex room shape as well as the position of mobile device 10 by collecting and processing distances between three consecutive measurement points as well as acoustic echoes from the device. A practical algorithm for room shape reconstruction and self-localization in the presence of noise and higher order echoes is proposed. Experimental results are provided to demonstrate the effectiveness of the approach.

Abstract: Apparatus and methods disclosed herein operate to monitor times of receipt of start-of-frame indications associated with frames received from multiple image sensors at a video controller. Time differences between the times of receipt of the frames are calculated. Embodiments herein alter one or more frame period determining parameter values associated with the image sensors if the time differences equal or exceed frame synchronization hysteresis threshold values. Parameter values are adjusted positively and/or negatively to decrease the time differences. The parameter values may be reset at each image sensor when the time differences become less than the frame synchronization hysteresis threshold value as additional frames are received at the video controller.

Abstract: A method includes receiving data identifying a responder in response to a call to an emergency operator, identifying one or more persons associated with the responder, determining communication addresses of communication devices associated with respective persons of the one or more persons, and sending a communication to each of the communication devices using the communication addresses to issue a pre-alert to the one or more persons that allows the one or more persons to prepare for a call to action. A system using natural language processing may be used to analyze a call in progress and aid in dispatching. The system may also identify the responder and assist in initiating the pre-alert prior to an alarm being sounded.

Abstract: A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.

Abstract: A method of and apparatus removing of a plurality of relatively narrow banded signals in a relatively wide banded input signal. The method involves and the apparatus provides for compressively sensing one relatively narrow banded signal in the relatively wide banded input signal and removing one relatively narrow banded signal from the relatively wide banded input signal before detecting and removing another relatively narrow banded signal in the relatively wide banded input signal, the step of and apparatus for compressing sensing occurring with respect to both (i) the input signal with the previously detected narrow banded signals removed therefrom and (ii) a frequency shifted version of (i).

Abstract: Particles such as nanoparticles in a sample are analyzed by single-particle inductively coupled plasma-mass spectrometry (spICP-MS). The sample is processed in an ICP-MS system to acquire time scan data corresponding to ion signal intensity versus time. A signal distribution, corresponding to ion signal intensity and the frequency at which the ion signal intensity was measured, is determined from the time scan data. A particle detection threshold is determined as an intersection point of an ionic signal portion and a particle signal portion of the signal distribution. The particle signal portion corresponds to measurements of particles in the sample, and the ionic signal portion corresponds to measurements of components in the sample other than particles. The particle detection threshold separates the particle signal portion from the ionic signal portion, and may be utilized to determine data regarding the particles.

Abstract: Systems and methods are provided for continuously monitoring operation of a sensing device, in which the sensing device includes a MEMS gyroscope and a quadrature feedback loop coupled to the MEMS gyroscope, the quadrature feedback loop including a quadrature feedback controller. A test signal generator is configured to generate and apply a test signal to the quadrature feedback loop at an input of the quadrature feedback controller. A fault detector is coupled to an output of the quadrature feedback controller. The fault detector is configured to receive a quadrature feedback signal, detect effects of the test signal in the quadrature feedback signal, and generate a monitor output indicative of the operation of the sensing device base on the detected effects of the test signal.

Abstract: Systems and methods to track the respective locations of subjects over time. The system identifies subjects who, over time, 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: Example techniques of data management in a network environment are described. In an example, a semantic pattern in a data stream transmitted from a source device to an edge device in the network environment is determined. The semantic pattern indicates relevance of data samples in the data stream for analysis of the data stream. The data stream is processed based on the semantic pattern, for storage and transmission in the network environment.

Abstract: A correlation value calculation device for calculating a correlation value between a base block within an image and at least one reference block within the image or other image includes a pixel value distribution calculation unit configured to calculate a pixel value distribution of pixels within the image and select a range of pixel values of a large number of pixels as a valid pixel value range, a conversion coefficient calculation unit configured to calculate conversion coefficients for converting pixels of the valid pixel value range into a prescribed bit-depth, and a pixel value conversion unit configured to perform a bit-depth reduction process on pixels within the base block and pixels within the reference block on the basis of the conversion coefficients.

Abstract: A magnetic field sensor includes a substrate first and second magnetic field sensing elements, comprising first and second magnetoresistance elements, respectively. The first and second magnetic field sensing elements are responsive to the magnet. At or more positions of the magnet relative to the first and second magnetic field sensing elements while the magnet is stopped moving, at least one of the first magnetic field sensing element or the second magnetic field sensing element is in saturation in response to the magnet.

Abstract: Systems, devices, methods, and computer readable medium for transmitting data using polynomial-based signals. Data may be represented as a message polynomial and convolved with a reference polynomial to generate a transmission polynomial. The transmission polynomial may be converted in a set of sinusoidals with continuously-varying amplitude in a plurality of frequencies prior to transmission of a signal to a receiver. Following transmission, the signal is received and the amplitude values are mapped into bit sequences to recover the data.

Abstract: It is described a processing apparatus (2) for detecting partial discharge pulses in the presence of noise signal, comprising: a first detector (3) configured to detect an electromagnetic impulsive signal (PINT; PEX2) from a first area (9) of an electrical object (1, 6) and generate a first electrical pulse (P1) representing a first detection event of the electromagnetic impulsive signal; a second detector (4) configured to detect the electromagnetic impulsive signal from a second area (10) of the electrical object (1, 6) and generate a second electrical pulse (P2) associated with a second detection event of the electromagnetic impulsive signal; a time calculation module (17) configured to measure a time interval (Td1; Td2) between the first detection event and the second detection event; and a processing module (18) connected to the time calculation module (17).

Abstract: A method is presented for estimating population from sample proportions that produces margins of error narrower for any specific sample size or that requires a sample size smaller for any specific margin of error than do previously existing methods applied to the same data. This method applies an unbiased estimator of the squared correlation between population and sample proportions to determine point and interval estimates of population proportions in a regression context involving simple random sampling with replacement. In virtually all reasonable applications, assuming a Dirichlet prior distribution, the margin of error produced by this method for a population proportion is shown to be 1.96 times the posterior standard deviation of the proportion.

Abstract: A method is provided for generating a new instance of an N-bit cryptographic key for storage in a non-volatile memory (NVM) in which unprogrammed cells have a particular binary value. The method includes generating a random N-bit updating sequence, and generating the new instance of the N-bit cryptographic key by negating each bit in a current instance of the N-bit cryptographic key that has the particular binary value and differs from a correspondingly-positioned bit in the random N-bit updating sequence, without negating any bits in the current instance of the N-bit cryptographic key that do not have the particular binary value. Other embodiments are also described.

Abstract: An infusion system comprises an infusion pump that comprises an input unit and a display unit. The input unit is adapted for adjusting a value of at least one parameter for controlling operation of the infusion pump and/or an infusion process, and the display unit displays the value of the at least one parameter. The input unit comprises at least one slide bar adapted to be touched by a user's finger and moved along its length to change the value of the parameter, wherein movement in a first direction increases the value of the parameter and in a reversed, second direction decreases the value. The slide bar is adapted so that the rate of change of the parameter value correlates with the speed of the finger movement and in an idle mode is decelerated in a similar way as under influence of an inertia load and/or a friction.

Abstract: A method is provided for comparing relevant information between observations. Methods may include: receiving first sensor data from a first sensor type; receiving second sensor data from a second sensor of a second sensor type, different from the first sensor type, where the first and second sensor data includes data associated with an environment of the sensors; generating a first binary bitmask of the first sensor data; generating a second binary bitmask of the second sensor data; applying a mutual information score function using the first binary bitmask and the second binary bitmask as inputs; generating a mutual information score from the mutual information score function, wherein the mutual information score represents a degree of similarity between the sensor data; and establishing a reliability of the at least one of the first sensor or the second sensor.

Abstract: Systems, methods, and software to acquire light measurements in a targeted space using an autonomous vehicle, such as an aerial drone, are provided. Examples of targeted spaces include, but are not limited to, stadiums, arenas, racetracks, fields, parking lots, etc. Uses of such systems, software, and/or methods include, but are not limited to, verifying that required light intensity, distribution, camera image quality, and/or other performance metrics are met when commissioning, changing, checking, and approving lighting systems, among other things.

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 based on such social network information.

Abstract: A signal detector includes oversampling circuitries and a detector circuitry. The oversampling circuitries are configured to receive a first signal and a second signal from a channel, and to sequentially sample the first signal and the second signal according to a plurality of clock signals to generate a plurality of signal difference values, and to compare the plurality of signal difference values with a reference difference value, in order to generate a plurality of detection signals. The detector circuitry is configured to generate a noise indication signal according to the plurality of detection signals, in order to indicate whether the first signal and the second signal are noises.

Abstract: A method, system, and apparatus for emulating impairments in a communication system.

Abstract: An imaging system (e.g., hyperspectral imaging system) receives an indication to compare a first object and a second object (e.g., two anatomical structures or organs in a medical environment). The imaging system accesses a classification vector for the first object and the second object, the classification vector having been extracted by separating a plurality of collected reflectance values for the first object from a plurality of collected reflectance values for the second object. A set of optimal illumination intensities for one or more spectral illumination sources of the imaging system is determined based on the extracted classification vector. The first and second objects are illuminated with the determined illumination intensities. A high-contrast image of the first and second objects is provided for display, such that the two objects can be readily distinguished in the image. The intensity of pixels in the image is determined by the illumination intensities.