Abstract: Current approaches for minimizing energy requirement of buildings are not designed to handle multi-input multi-output systems, such as electric vehicle-heating, ventilation, and air conditioning (EV-HVAC) system. Further, scalability of the solutions is another challenge. Present disclosure provides method and system for jointly controlling EV-HVAC system of a building. The system utilizes the potential of electric vehicle (EVs) in building energy management by treating EVs as buffers with random availability. The system performs EV-HVAC joint control that scales seamlessly with increasing EVs while respecting both thermal constraints of HVAC and state of charge (SoC) constraints of EV users.

Abstract: Method and system of electric vehicle route planning for multi-service delivery and on-route energy replenishment is disclosed. Last mile delivery is a critical component of supply chains that impacts both customer experience and delivery cost. User request is received by a depot of a delivery environment. The user request comprising a current location of the user, one or more required services, and a time window rendered between each of the required services is processed and a graph is generated for the user request. Further, trained learning agent generates a route map indicating a plurality of waypoint locations for the electric vehicle to visit each node in accordance with minimized trip cost of fleet and time duration where each node has a state action pair for the electric vehicle. The learning agent learns continuously during the interaction with delivery environment and obtains feedback for every associated action.

Abstract: Various systems and methods are provided for a system and a computer-implemented method to dynamically configure a collimator aperture of a CT imaging system. The system may be provided to dynamically configure a collimator aperture over a slice coverage of a CT imaging system. The system may, further, provide a processor programmed to select an X-ray dose efficiency based on one or more parameters and dynamically configure a collimator aperture of the system within a reliability range of a calibration curve based on the selected X-ray dose efficiency and flux measured by the X-ray detector.

Abstract: Current approaches for minimizing energy requirement of buildings are not designed to handle multi-input multi-output systems, such as electric vehicle-heating, ventilation, and air conditioning (EV-HVAC) system. Further, scalability of the solutions is another challenge. Present disclosure provides method and system for jointly controlling EV-HVAC system of a building. The system utilizes the potential of electric vehicle (EVs) in building energy management by treating EVs as buffers with random availability. The system performs EV-HVAC joint control that scales seamlessly with increasing EVs while respecting both thermal constraints of HVAC and state of charge (SoC) constraints of EV users.

Abstract: This disclosure relates generally to method and system of electric vehicle route planning for multi-service delivery and on-route energy replenishment. Last mile delivery is a critical component of supply chains that impacts both customer experience and delivery cost. The method disclosed processes a received user request comprising a current location of the user, one or more required services, and a time window rendered between each of the required services and for the user request a graph is generated. Further, the trained learning agent generates a route map indicating a plurality of waypoint locations for the electric vehicle to visit each node in accordance with minimized trip cost of fleet and time duration where each node has a state action pair for the electric vehicle. The learning agent learns continuously during the interaction with the delivery environment and obtains feedback for every associated action.

Abstract: Disadvantage of state-of-the-art scheduling mechanisms for Electric Vehicle (EV) charging is that they fail to accommodate dynamic requirements in terms of charging needs. The disclosure herein generally relates to EV fleet charging, and, more particularly, to a method and system for Electric Vehicle (EV) fleet charging by accommodating one or more dynamic requirements. The system initially generates a base charging plan for a fleet of EVs. Further, the system checks if the base charging plan is to be modified to accommodate one or more dynamic charging requirements obtained. Upon determining that the base charging plan is to be modified, the system modifies the base charging plan till a) no more vehicles are left to charge, or b) all of a plurality of chargers have an assignment.

Abstract: This disclosure relates generally to method and system to generate pricing for charging electric vehicles. With Electric vehicles becoming more mainstream, public chargers may not be able to match demand supply without extensive deployments. The present disclosure dynamically generates pricing policies to maximize aggregator revenue based on a stochastic model constraints and user behavioral models. The system involves three primary stake holders comprising a demand side having EV users requesting efficient charging at lowest possible price, a supply side which includes a public or private EVSE operators, and an EV charging aggregator which acts as intermediator between the demand side and the supply side. The EV charging aggregator having an RL agent receives user requests to generate pricing based on a tentative demand pool, an actual demand pool, and a service pool. The reward to the RL agent is the total revenue obtained in that timestep of the control action.

Abstract: Provided are a tomography apparatus and a method for reconstructing a tomography image. The method includes obtaining a plurality of raw data corresponding to a plurality of views by performing a tomography scan on an object and deblurring each of the plurality of raw data based on a point spread function (PSF) that varies according to locations in a field of view (FOV) in a gantry. The method also includes reconstructing a final tomography image in which a motion of the object is corrected from the plurality of deblurred raw data based on a motion vector indicating the motion of the object.

Abstract: A tomography apparatus includes a data acquirer configured to obtain a first partial image and a second partial image of an object based on data that is obtained respectively at a first angular section corresponding to a first time and at a second angular section corresponding to a second time during a tomography scan of the object that is moving, a controller configured to determine first information indicating a motion amount of the object in a first area of an entire image based on the first partial image and the second partial image, and determine second information indicating a degree of blur of a point included in the object in the first area based on the first information, and an image processor configured to correct the first area based on the first information and the second information, and output a tomography image based on the corrected first area.

Abstract: Provided are a tomography apparatus and a method for reconstructing a tomography image. The method includes obtaining a plurality of raw data corresponding to a plurality of views by performing a tomography scan on an object and deblurring each of the plurality of raw data based on a point spread function (PSF) that varies according to locations in a field of view (FOV) in a gantry. The method also includes reconstructing a final tomography image in which a motion of the object is corrected from the plurality of deblurred raw data based on a motion vector indicating the motion of the object.

Abstract: Identification of an optimal monochromatic energy for displaying monochromatic images is disclosed. In certain embodiments, determination of an optimal monochromatic energy may be performed by generating histograms for various monochromatic images generated based on a set of acquired multi-energy projections and by evaluating the histogram dispersion for the respective histograms.

Abstract: A method includes receiving a Computed Tomography (CT) image comprising a head of a subject from a CT scanner and detecting a first and a second petrous bone of the head in the CT image. The method further includes determining a nasion of the head in the CT image based on the first and the second petrous bone. The method also includes generating a reference plane of the head based on the nasion and the first and the second petrous bone.

Abstract: A method includes receiving a monochromatic image comprising a head of a subject from a Computed Tomography (CT) scanner and detecting a petrous bone of the head in the monochromatic image. The method further includes determining a linear attenuation coefficient of at least one petrous voxel representing the petrous bone and calculating a mass attenuation coefficient of the petrous voxel based on the linear attenuation coefficient and a density of the petrous bone. The method also includes computing a monochromatic energy level of the monochromatic image based on the mass attenuation coefficient of the petrous voxel and recalibrating the monochromatic image corresponding to the computed monochromatic energy level to the desired monochromatic energy level.

Abstract: Embodiments are adapted for acquiring projection data from a computed tomography imaging system to form motion-corrected images of cyclically moving imaging subjects. Embodiments determine a start time and time duration of a data record with sufficient data for forming a motion-corrected image from the data record, without screening data records or images for motion artifacts. Some embodiments acquire data asynchronously with respect to the cyclical motion of the imaging subject, without using a signal such as an EKG to select a period of low subject motion for imaging. Other embodiments use a pulse signal synchronized to the imaging subject's motions to reduce an amount of data presented for image reconstruction, or to target a specific phase of the imaging subject's cyclical motion.

Abstract: A tomography apparatus includes a data acquirer configured to obtain a first partial image and a second partial image of an object based on data that is obtained respectively at a first angular section corresponding to a first time and at a second angular section corresponding to a second time during a tomography scan of the object that is moving, a controller configured to determine first information indicating a motion amount of the object in a first area of an entire image based on the first partial image and the second partial image, and determine second information indicating a degree of blur of a point included in the object in the first area based on the first information, and an image processor configured to correct the first area based on the first information and the second information, and output a tomography image based on the corrected first area.

Abstract: A method includes receiving a monochromatic image comprising a head of a subject from a Computed Tomography (CT) scanner and detecting a petrous bone of the head in the monochromatic image. The method further includes determining a linear attenuation coefficient of at least one petrous voxel representing the petrous bone and calculating a mass attenuation coefficient of the petrous voxel based on the linear attenuation coefficient and a density of the petrous bone. The method also includes computing a monochromatic energy level of the monochromatic image based on the mass attenuation coefficient of the petrous voxel and recalibrating the monochromatic image corresponding to the computed monochromatic energy level to the desired monochromatic energy level.

Abstract: A method includes receiving a Computed Tomography (CT) image comprising a head of a subject from a CT scanner and detecting a first and a second petrous bone of the head in the CT image. The method further includes determining a nasion of the head in the CT image based on the first and the second petrous bone. The method also includes generating a reference plane of the head based on the nasion and the first and the second petrous bone.

Abstract: The disclosed embodiments relate to determining an amount of a contrast agent in an image. For example, a computer-implemented method of image processing includes generating, from a first polychromatic contrast-enhanced X-ray image obtained at a first energy and a second polychromatic contrast-enhanced X-ray image obtained at a second energy, a simulated first monochromatic contrast-enhanced X-ray image and a simulated second monochromatic contrast-enhanced X-ray image. The simulated first monochromatic contrast-enhanced X-ray image includes first regions of enhanced contrast and the simulated second monochromatic contrast-enhanced includes second regions of enhanced contrast. The method also includes isolating the first and second regions of enhanced contrast from other regions of the image, and determining an amount of the contrast agent within the first and second regions of enhanced contrast based at least on a derived partial signal attributable to the contrast agent.

Abstract: Exemplary embodiments provide a system and method for uploading large files to a remote server faster. The system and method divide the file into smaller file chunks and utilize parallel thread execution to prepare and upload the file chunks to the remote server. The uploading may further utilize a plurality of HTTP connections. Once all chunks have been uploaded to the remote server, the chunks may be consolidated into the original file by using content tokens and chunk numbers associated with the uploaded chunks.

Abstract: Identification of an optimal monochromatic energy for displaying monochromatic images is disclosed. In certain embodiments, determination of an optimal monochromatic energy may be performed by generating histograms for various monochromatic images generated based on a set of acquired multi-energy projections and by evaluating the histogram dispersion for the respective histograms.