Abstract: Disclosed herein is an inspection robot system for the customs inspection of container-loaded cargo. The inspection robot system includes: an attachment-type mobile robot configured to drive in the state of being attached to the top surface of a container; and a flexible robot system configured to interface with the attachment-type mobile robot, to selectively accommodate and extend a flexible robot having multiple degrees of freedom, and to perform inspection on cargo.

Abstract: Oxide-based thin film sintered bodies, oxide-based solid electrolyte sheets, and all-solid lithium secondary batteries are disclosed. In some implementations, an oxide-based thin film sintered body includes oxide particles, the oxide-based thin film sintered body having a surface roughness Ra ranging from 0.1 to 3 ?m, wherein Ra is an arithmetical mean height of a surface, wherein the oxide particles absorb light energy in a wavelength range from 10 to 1200 nm and have an energy band gap ranging from 0.1 to 15 eV.

Abstract: A multilayer capacitor includes a body including a stack structure in which at least one first internal electrode and at least one second internal electrode are alternately stacked in a first direction with at least one dielectric layer interposed therebetween; and first and second external electrodes spaced apart from each other and disposed on the body to be respectively connected to the at least one first internal electrode and the at least one second internal electrode, wherein each of the first and second external electrodes includes a first conductive layer including a first conductive material and glass; and an oxide layer including an oxide and disposed on at least a portion of an external surface of the first conductive layer.

Abstract: An oxide-based film sheet according to an embodiment of the disclosure includes an oxide-based particle, wherein the oxide-based particle includes a colored oxide particle capable of absorbing light energy in a visible light spectrum. An oxide-based solid electrolyte sheet according to an embodiment of the disclosure may be prepared by light-sintering the oxide-based film sheet. According to an embodiment of the disclosure, an oxide-based solid electrolyte sheet in which a connection structure between particles, shapes of the particles, porosity, or the like are appropriately provided may be prepared by light-sintering.

Abstract: Disclosed are a method and apparatus for reusing wastewater. The method for reusing wastewater disclosed herein includes: generating a mixed wastewater by mixing multiple types of wastewater (S20); performing a first purification by passing the mixed wastewater through a flocculation-sedimentation unit (S40); performing a second purification by passing an effluent of the flocculation-sedimentation unit through a membrane bioreactor (MBR) (S60); performing a third purification by passing an effluent of the MBR through a reverse-osmosis membrane unit (S80); and reusing an effluent of the reverse-osmosis membrane unit as cooling water or industrial water (S100).

Abstract: One variation of a method includes, during a calibration period: triggering collection of an initial bioaerosol sample by an air sampler located in an environment; and triggering dispensation of a tracer test load by a dispenser located in the environment; accessing a detected barcode level of a barcode detected in the initial bioaerosol sample; accessing a true barcode level of the barcode contained in the tracer test load; and deriving a calibration factor for the environment based on a difference between the detected barcode level and the true barcode level. The method further includes, during a live period succeeding the calibration period: triggering collection of a first bioaerosol sample by the air sampler; accessing a detected pathogen level of a pathogen detected in the first bioaerosol sample; and interpreting a predicted pathogen level of the pathogen in the environment based on the detected pathogen level and the calibration factor.

Abstract: Provided is a method performed by a computing system for detecting an outlier. The method comprises estimating a first distribution for a given sample set, estimating a second distribution for a target sample, and calculating an outlier score of the target sample for the given sample set based on a difference between the first distribution and the second distribution.

Abstract: One variation of a method includes, during a calibration period: triggering collection of an initial bioaerosol sample by an air sampler located in an environment; and triggering dispensation of a tracer test load by a dispenser located in the environment; accessing a detected barcode level of a barcode detected in the initial bioaerosol sample; accessing a true barcode level of the barcode contained in the tracer test load; and deriving a calibration factor for the environment based on a difference between the detected barcode level and the true barcode level. The method further includes, during a live period succeeding the calibration period: triggering collection of a first bioaerosol sample by the air sampler; accessing a detected pathogen level of a pathogen detected in the first bioaerosol sample; and interpreting a predicted pathogen level of the pathogen in the environment based on the detected pathogen level and the calibration factor.

Abstract: Provided are an electronic system of a real-time operating system, an operating method thereof, and an operating method for a memory device. The operating method comprising obtaining a call graph by performing static code analysis on at least one thread that corresponds to a task, obtaining a stack usage of the thread and a call probability for each node by performing runtime profiling of the call graph, allocating a threshold value of a stack size for a first memory area by taking into account the call graph, the call probability for each node, and the stack usage, expanding and storing a stack from the first memory area to a second memory area according to a comparison result between the threshold value and a stack usage of the first memory area and returning the stack to the first memory when execution is completed in the second memory area, wherein the electronic system comprises a memory device configured to include the first memory area and the second memory area.

Abstract: One variation of a pathogen detection system includes an air sampler and a cartridge. The air sampler includes: a housing defining an inlet and an outlet; a tunnel arranged within the housing and extending between the inlet and the outlet; a charge electrode arranged within the tunnel proximal the inlet; a cartridge receptacle arranged proximal the outlet and comprising a cartridge terminal; and a power supply configured to drive a voltage between the charge electrode and the cartridge terminal. The cartridge includes: a substrate; a collector plate arranged on the substrate and configured to collect charged bioaerosols moving through the tunnel; and a connector configured to transiently engage the cartridge receptacle to locate the substrate and the collector plate within the tunnel and electrically couple the collector plate to the cartridge terminal.

Abstract: A system for scheduling machine learning jobs includes a user interface provision unit to transmit, to a user terminal, data for forming an input interface to receive job information including information indicative of a checkpoint file of a model to be executed and require resource information, a resource management unit to manage a job queue, wherein each item of the job queue includes the job information and annotation including an expected execution time, complement for an item in which the expected execution time is not recorded in the annotation by receiving the expected execution time from an execution time expectation unit, and execute job scheduling using the job information of each item of the job queue, and an execution time expectation unit to calculate memory usage necessary for executing the model using information of the checkpoint file and determine the expected execution time of the model, using the memory usage.

Abstract: One variation of a method includes, during a calibration period: triggering collection of an initial bioaerosol sample by an air sampler located in an environment; and triggering dispensation of a tracer test load by a dispenser located in the environment; accessing a detected barcode level of a barcode detected in the initial bioaerosol sample; accessing a true barcode level of the barcode contained in the tracer test load; and deriving a calibration factor for the environment based on a difference between the detected barcode level and the true barcode level. The method further includes, during a live period succeeding the calibration period: triggering collection of a first bioaerosol sample by the air sampler; accessing a detected pathogen level of a pathogen detected in the first bioaerosol sample; and interpreting a predicted pathogen level of the pathogen in the environment based on the detected pathogen level and the calibration factor.

Abstract: One variation of a pathogen detection system includes an air sampler and a cartridge. The air sampler includes: a housing defining an inlet and an outlet; a tunnel arranged within the housing and extending between the inlet and the outlet; a charge electrode arranged within the tunnel proximal the inlet; a cartridge receptacle arranged proximal the outlet and comprising a cartridge terminal; and a power supply configured to drive a voltage between the charge electrode and the cartridge terminal. The cartridge includes: a substrate; a collector plate arranged on the substrate and configured to collect charged bioaerosols moving through the tunnel; and a connector configured to transiently engage the cartridge receptacle to locate the substrate and the collector plate within the tunnel and electrically couple the collector plate to the cartridge terminal.

Abstract: One variation of a method for detecting pathogens in an environment includes, during a first sampling period: triggering collection of a pathogen sample from ambient air in the environment by an air sampler; and tracking a first organic load of the first pathogen sample via a detection subsystem integrated within the air sampler, the first organic load representative of a first amount of organic matter present in the first pathogen sample. In response to the first organic load exceeding a threshold organic load defined for the environment, the method further includes: interpreting presence of a set of pathogens in the environment via genetic analysis of the first pathogen sample; and, in response to detecting presence of a first pathogen, in the set of pathogens, in the first pathogen sample, transmitting a notification indicating presence of the first pathogen in the environment to a user associated with the environment.

Abstract: One variation of a pathogen detection system includes an air sampler and a cartridge. The air sampler includes: a housing defining an inlet and an outlet; a tunnel arranged within the housing and extending between the inlet and the outlet; a charge electrode arranged within the tunnel proximal the inlet; a cartridge receptacle arranged proximal the outlet and comprising a cartridge terminal; and a power supply configured to drive a voltage between the charge electrode and the cartridge terminal. The cartridge includes: a substrate; a collector plate arranged on the substrate and configured to collect charged bioaerosols moving through the tunnel; and a connector configured to transiently engage the cartridge receptacle to locate the substrate and the collector plate within the tunnel and electrically couple the collector plate to the cartridge terminal.

Abstract: One variation of a method includes, during a calibration period: triggering collection of an initial bioaerosol sample by an air sampler located in an environment; and triggering dispensation of a tracer test load by a dispenser located in the environment; accessing a detected barcode level of a barcode detected in the initial bioaerosol sample; accessing a true barcode level of the barcode contained in the tracer test load; and deriving a calibration factor for the environment based on a difference between the detected barcode level and the true barcode level. The method further includes, during a live period succeeding the calibration period: triggering collection of a first bioaerosol sample by the air sampler; accessing a detected pathogen level of a pathogen detected in the first bioaerosol sample; and interpreting a predicted pathogen level of the pathogen in the environment based on the detected pathogen level and the calibration factor.

Abstract: One variation of a method for detecting pathogens in an environment includes, during a first sampling period: triggering collection of a pathogen sample from ambient air in the environment by an air sampler; and tracking a first organic load of the first pathogen sample via a detection subsystem integrated within the air sampler, the first organic load representative of a first amount of organic matter present in the first pathogen sample. In response to the first organic load exceeding a threshold organic load defined for the environment, the method further includes: interpreting presence of a set of pathogens in the environment via genetic analysis of the first pathogen sample; and, in response to detecting presence of a first pathogen, in the set of pathogens, in the first pathogen sample, transmitting a notification indicating presence of the first pathogen in the environment to a user associated with the environment.

Abstract: One variation of a method includes, during a calibration period: triggering collection of an initial bioaerosol sample by an air sampler located in an environment; and triggering dispensation of a tracer test load by a dispenser located in the environment; accessing a detected barcode level of a barcode detected in the initial bioaerosol sample; accessing a true barcode level of the barcode contained in the tracer test load; and deriving a calibration factor for the environment based on a difference between the detected barcode level and the true barcode level. The method further includes, during a live period succeeding the calibration period: triggering collection of a first bioaerosol sample by the air sampler; accessing a detected pathogen level of a pathogen detected in the first bioaerosol sample; and interpreting a predicted pathogen level of the pathogen in the environment based on the detected pathogen level and the calibration factor.

Abstract: One variation of a method includes, during a calibration period: triggering collection of an initial bioaerosol sample by an air sampler located in an environment; and triggering dispensation of a tracer test load by a dispenser located in the environment; accessing a detected barcode level of a barcode detected in the initial bioaerosol sample; accessing a true barcode level of the barcode contained in the tracer test load; and deriving a calibration factor for the environment based on a difference between the detected barcode level and the true barcode level. The method further includes, during a live period succeeding the calibration period: triggering collection of a first bioaerosol sample by the air sampler; accessing a detected pathogen level of a pathogen detected in the first bioaerosol sample; and interpreting a predicted pathogen level of the pathogen in the environment based on the detected pathogen level and the calibration factor.

Abstract: One variation of a method for detecting pathogens includes: accessing a timeseries of pathogen data for a pathogen, in a set of pathogens, derived from a series of pathogen samples collected in an environment during a time period; characterizing a pathogen profile, representative of changes in pathogen level of the first pathogen in the environment during the time period, based on the timeseries of pathogen data; accessing a baseline pathogen profile representative of changes in pathogen levels of the set of pathogens in the environment during an initial time period preceding the time period; characterizing a difference between the pathogen profile and the baseline pathogen profile; and, in response to the difference exceeding a threshold difference, selecting a mitigation action configured to reduce pathogen levels of the first pathogen and transmitting a prompt to execute the mitigation action to a user associated with the indoor environment.