Abstract: An electromagnetic (“EM”) tracking configuration system employs an EM quality assurance (“EMQA”) (30) and EM data coordination (“DC”) system (70). For the EMQA system (30), an EM sensor block (40) includes EM sensor(s) (22) positioned and oriented to represent a simulated electromagnetic tracking of interventional tool(s) inserted through electromagnetic sensor block (40) into an anatomical region. As an EM field generator (20) generates an EM field (21) encircling EM sensor(s) (22), an EMQA workstation (50) tests an EM tracking accuracy of an insertion of the interventional tool(s) through the EM sensor block (40) into the anatomical region.

Abstract: A method and system for optimizing power consumption of a data center by dynamic workload adjustment. At least one candidate workload solution for the data center is generated. Each candidate workload solution represents a respective application map that specifies a respective workload distribution among application programs of the data center. Workload of the data center is dynamically adjusted from a current workload distribution to an optimal workload solution. The optimal workload solution is a candidate workload solution of the at least one candidate workload solution having a lowest sum of a respective power cost and a respective migration cost. Dynamically adjusting the workload of the data center includes: estimating a respective overall cost of each candidate workload solution, selecting the optimal workload solution that has a lowest overall cost as determined from the estimating, and transferring the optimal workload solution to devices of a computer system for deployment.

Abstract: A method and system for treating a target area of a patient, for example an area of the brain which includes an occlusion: employ an ultrasound imaging apparatus to produce an ultrasound image of a region of a subject; register the ultrasound image to a computed tomography (CT) image dataset; identify in the ultrasound image a location of a target area via a marker of the target area produced from the CT image dataset; verify the location of the target area with the ultrasound imaging apparatus; and provide sonothrombolysis treatment to the target area while monitoring the target area with the ultrasound imaging apparatus.

Abstract: A method, system, and program product are provided for providing a medical tracking interface. The method comprises the steps of: receiving tracking data from at least one tracking tool in any one of a plurality of data formats; converting the tracking data to a uniform data format; and outputting the tracking data in the uniform data format to an IGI application.

Abstract: Embodiments are provided for managing performance of a computer system. Both implicit and explicit recommendations for processing of tasks are provided. System performance is tracked and evaluation based upon the actions associated with the task. Future recommendations of the same or other tasks are provided based upon implicit feedback pertaining to system performance, and explicit feedback solicited from a system administrator.

Abstract: Systems and methods for image guidance include an imaging system (124) configured to generate images, the imaging system including a display (126) to permit user selection of areas of interest in the images. One or more objects (134, 138) are visible in the images. A computation engine (116) is configured to combine coordinate systems of the imaging system, the areas of interest, and the one or more objects to provide measurement and/or location information. A bidirectional communication channel (122) is configured to couple the imaging system and the computation engine to permit transmission of the images and the areas of interest to the computation engine and transmission of the measurement and/or location information to the imaging system.

Abstract: The present invention proactively identifies hotspots in a cloud computing environment through cloud resource usage models that use workload parameters as inputs. In some embodiments the cloud resource usage models are based upon performance data from cloud resources and time series based workload trend models. Hotspots may occur and can be detected at any layer of the cloud computing environment, including the server, storage, and network level. In a typical embodiment, parameters for a workload are identified in the cloud computing environment and inputted into a cloud resource usage model. The model is run with the inputted workload parameters to identify potential hotspots, and resources are then provisioned for the workload so as to avoid these hotspots.

Abstract: A multi-view stereo approach generates an inventory of objects located on an object holder. An object may be a sample tube and an object holder may be a tube rack as used in lab automation for healthcare diagnostics. A processor performs 3D tracking of the object holder and the geometric analysis of multiple images generated by a calibrated camera. A homography mapping between images is utilized to warp a second image to a viewpoint of a first image. Plane induced parallax causes a normalized cross-correlation score between the first image and the warped second image of a location on the holder that has an object that is significantly different from a normalized cross-correlation score of a location that has not an object and enables the processor to infer tube inventory and absence or presence of a tube at a location in a rack.

Abstract: The present invention proactively identifies hotspots in a cloud computing environment through cloud resource usage models that use workload parameters as inputs. In some embodiments the cloud resource usage models are based upon performance data from cloud resources and time series based workload trend models. Hotspots may occur and can be detected at any layer of the cloud computing environment, including the server, storage, and network level. In a typical embodiment, parameters for a workload are identified in the cloud computing environment and inputted into a cloud resource usage model. The model is run with the inputted workload parameters to identify potential hotspots, and resources are then provisioned for the workload so as to avoid these hotspots.

Abstract: A method, system, and article are provided for managing performance of a computer system. Both implicit and explicit recommendations for processing of tasks are provided. System performance is tracked and evaluated based upon the actions associated with the task. Future recommendations of the same or other tasks are provided based upon implicit feedback pertaining to system performance, and explicit feedback solicited from a system administrator.

Abstract: Disclosed are methods adapted to aid in a calibration of a robotic end effector. The method includes providing a robotic component having an end effector and a light beam sensor provided in a fixed orientation to the end effector fingers, rotating a light beam of the light beam sensor relative to a geometrical calibration feature of a teach tool mounted in an approximately known orientation to an article, and determining a precise location (e.g., center) of the geometrical calibration feature based upon engagement of the light beam with edges of the geometrical calibration feature. In another aspect, a rotational orientation of the fingers of the end effector are calibrated using the teach tool. A novel teach tool and a robot calibration system including the teach tool are disclosed, as are other aspects.

Abstract: A method and associated system for continuously optimizing data archive management scheduling. A flow network is modeled, which creates vertexes organized in multiple levels and creating multiple edges sequentially connecting the vertexes of the multiple levels. The multiple levels consist of N+1 levels denoted as LEVEL0, LEVEL1, . . . , LEVELN, wherein N is at least 2, wherein LEVEL0 includes a source vertex, wherein LEVEL1 includes at least one task vertex associated with at least one archive management task, wherein EDGEK is directed from the vertex of LEVELK-1 to the vertex of LEVELK for K=1, . . . , N, wherein EDGE1 indicates that a first task associated with a first task vertex of LEVEL1 is scheduled by a job scheduler, and wherein EDGE1 has a first weight equal to a time unit to perform the first task.

Abstract: A method and associated system for continuously optimizing data archive management scheduling. A flow network is modeled. The flow network represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices such that an optimal path in the flow network from a task of at least one archive management task to a worker program of the archive management system represents an optimal initial schedule for the worker program to perform the task.

Abstract: Embodiments of the present invention provide a hybrid (e.g., local and remote) approach for data backup in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, a set of storage configuration parameters corresponding to a set of data to be backed up is received and stored in a computer data structure. The set of storage configuration parameters can comprise at least one of the following: a recovery time objective (RTO), a recovery point objective (RPO), and a desired type of protection for the set of data. Regardless, the set of data is compared to previously stored data to identify at least one of the following: portions of the set of data that have commonality with the previously stored data; and portions of the set of data that are unique to the set of data (i.e., not in common with any of the previously stored data). The above-described process is referred to herein as “de-duplication”.

Abstract: A method, system, and program product are provided for providing a medical tracking interface. The method comprises the steps of: receiving data from at least one tracking device in any one of a plurality of formats, converting the data to a uniform format, and outputting the data in the uniform format.

Abstract: The present disclosure relates to system(s) and method(s) to provide compliance as a service for one or more organization. The system further facilitates identifying one or more causes involved to provide compliance as a service by analysing compliance documents. The system and method also provides conversion of clauses into appropriate controls. The system and method also assists in defining control that can perform a specific task on a system. The system and method further provides mapping of compliance using control.

Abstract: An intervention instrument (60) employs a shaft (61) and a shaft tracker (62) partially or completely encircling the shaft (61) and movable to a primary tracking position along the shaft (61) between a distal tip and a proximal hub of the shaft (61). The primary tracking position is derived from a distance from an entry point of the distal tip into an anatomical region to a target location of the distal tip within the anatomical region. The shaft tracker (62) includes a primary position sensor (63) operable for tracking the shaft tracker (62) relative to the anatomical region at or offset from the primary tracking position.

Abstract: Embodiments of the present invention provide an approach for providing non-disruptive transitioning of application replication configurations and proactive analysis of possible error scenarios. Specifically, under embodiments of the present invention, a common integration model (CIM)-compatible representation of a system replication plan is provided in a computer data structure. Based on the representation, a hierarchical tree data structure having a set of nodes is created. A set of system configuration updates pertaining to the set of nodes are then classified (e.g., based upon the type of configuration update). Once the set of nodes has been classified, the set of nodes may then be analyzed to determine if any nodes of the set are isomorphic. If so, the plan can be modified accordingly. In any event, the replication plan (or modified replication plan) may then be implemented.

Abstract: The present invention provides a system, method and software application for associating one or more phone numbers with an action on a phone and performing an action on the phone in response to the user initiating a call to one of such phone numbers. Certain phone numbers are associated with an action. The user's phone, or a server with which the user's phone communicates, maintains a table of the phone numbers associated with an action, and each phone number in the table is related to an action. Software on the user's phone listens for call initiated by a user. When the user initiates a call, software on the phone “intercepts” the call, and the phone (or a server with which the phone communicates) determines whether the call is to a phone number that is in the table. If the phone number is in the table, then it is associated with an action, and the user's phone performs that action at a time specified by instructions for such action.

Abstract: Embodiments of the present invention provide a hybrid (e.g., local and remote) approach for data backup in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, a set of storage configuration parameters corresponding to a set of data to be backed up is received and stored in a computer data structure. The set of storage configuration parameters can comprise at least one of the following: a recovery time objective (RTO), a recovery point objective (RPO), and a desired type of protection for the set of data. Regardless, the set of data is compared to previously stored data to identify at least one of the following: portions of the set of data that have commonality with the previously stored data; and portions of the set of data that are unique to the set of data (i.e., not in common with any of the previously stored data). The above-described process is referred to herein as “de-duplication”.