Abstract: Methods of scheduling maintenance on a plurality of automated testing apparatus and possibly also on ancillary test processing apparatus are provided. The methods include inputting identification data on the plurality of automated testing apparatus to be maintained, inputting maintenance requirement data for the maintenance of each of the apparatus, inputting demand constraint data, operating on the identification data, maintenance requirement data, and demand constraint data using an optimization program, such as mixed integer linear programming (MILP), subject to demand constraints and at least one objective, and outputting an optimized maintenance schedule for a planning period. Systems and apparatus configured to carry out the methods are also provided, as are other aspects.

Abstract: Disclosed herein is a method of enabling supervision of a laboratory environment utilizing diagnostic equipment. The method includes utilization of a device for capturing an optical image of at least a portion of the laboratory environment. The method further requires selectively capturing the optical image using the image capture device and selectively transmitting the captured image over a communications medium. The method further requires receiving the transmitted optical image by an image receiver in communication with the image transmission device via the communications medium. The method then requires selectively generating, by an image processor in communication with the image receiver, a display of at least a portion of the captured optical image on an image display device and receiving status information from the diagnostic equipment at a laboratory manager that is in communication with multitude of diagnostic equipment.

Abstract: Methods of scheduling maintenance on a plurality of automated testing apparatus and possibly also on ancillary test processing apparatus. The methods include inputting identification data on the plurality of automated testing apparatus to be maintained, inputting maintenance requirement data for the maintenance of each of the apparatus, inputting demand constraint data, operating on the identification data, maintenance requirement data, and demand constraint data using an optimization program, such as mixed integer linear programming (MILP), subject to demand constraints and at least one objective, and outputting an optimized maintenance schedule for a planning period. Systems and apparatus configured to carry out the methods are provided, as are other aspects.

Abstract: A location based dynamic information provision system integrates operator positional awareness within a laboratory environment with a laboratory environment asset site map. At least one operator proximity metric, defining a distance threshold for establishing whether an operator within the laboratory is proximate to a respective asset, is defined for each asset. Operator detection and position is provided by an indoor positioning system. A signaling device associated with each operator is in communication with a laboratory process management platform for receiving operator information contingent upon the respective operator being within the proximity metric for a respective laboratory asset and the asset having communicated status of a given urgency to the process management platform. The signaling device may enable the operator to communicate with the process management platform and may provide a tactile or other attention attracting signal to the operator.

Abstract: An electromagnetic field quality assurance system employing an electromagnetic field generator (10) for emitting an electromagnetic field (12), and one or more quality assurance electromagnetic sensors (11, 21, 31, 41, 50) for sensing the emission of the electromagnetic field (12). The system further employs a quality assurance controller (74) for assessing a tracking quality of the electromagnetic field (12) derived from a monitoring of a sensed position of each quality assurance electromagnetic sensor (11, 21, 31, 41, 50) within a field-of-view of the electromagnetic field (12). The electromagnetic field generator (10), an ultrasound probe (20), an ultrasound stepper (30) and/or a patient table (40) may be equipped with the quality assurance electromagnetic sensor(s) (11, 21, 31, 41, 50).

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: Disclosed herein is a method of enabling supervision of a laboratory environment utilizing diagnostic equipment. The method includes utilization of a device for capturing an optical image of at least a portion of the laboratory environment. The method further requires selectively capturing the optical image using the image capture device and selectively transmitting the captured image over a communications medium. The method further requires receiving the transmitted optical image by an image receiver in communication with the image transmission device via the communications medium. The method then requires selectively generating, by an image processor in communication with the image receiver, a display of at least a portion of the captured optical image on an image display device and receiving status information from the diagnostic equipment at a laboratory manager that is in communication with multitude of diagnostic equipment.

Abstract: A location based dynamic information provision system integrates operator positional awareness within a laboratory environment with a laboratory environment asset site map. At least one operator proximity metric, defining a distance threshold for establishing whether an operator within the laboratory is proximate to a respective asset, is defined for each asset. Operator detection and position is provided by an indoor positioning system. A signaling device associated with each operator is in communication with a laboratory process management platform for receiving operator information contingent upon the respective operator being within the proximity metric for a respective laboratory asset and the asset having communicated status of a given urgency to the process management platform. The signaling device may enable the operator to communicate with the process management platform and may provide a tactile or other attention attracting signal to the operator.

Abstract: The invention relates to an assisting apparatus for assisting in performing brachytherapy. The position of an introduction element (17) like a catheter is tracked particularly by using electromagnetic tracking, while a group of seeds is introduced into a living object (2). This provides a rough knowledge about the position of the seeds within the object. An ultrasound image showing the group is generated depending on the tracked position of the introduction element and, thus, depending on the rough knowledge about the position of the seeds, in order to optimize the ultrasound visualization with respect to showing the introduced seeds. Based on this optimized ultrasound visualization the position of a seed of the group is determined, thereby allowing for an improved determination of seed positions and correspondingly for an improved brachytherapy performed based on the determined positions.

Abstract: A method and system for optimizing power consumption of a data center by dynamic workload adjustment. 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 at least one candidate workload solution having a lowest sum of a respective power cost and a respective migration cost. Each candidate workload solution represents a respective application map that specifies a respective workload distribution among application programs of the data center. 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: 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: 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 analyzing 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: A device, system and method for accessing internal tissue include a probe (108) disposed on a distal end portion of a medical device and configured to be inserted into a body along a trajectory path. A sensor (102) is mounted on a displacement tracker portion (104) of the medical device which is disposed on a proximal end portion of the device. The sensor is configured to measure a distance parallel to the probe between the displacement tracker portion and a tissue surface such that a position of the probe is determinable relative to the tissue surface upon advance or retraction of the probe along the trajectory path.

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: An electromagnetic field quality assurance system employing an electromagnetic field generator (10) for emitting an electromagnetic field (12), and one or more quality assurance electromagnetic sensors (11, 21, 31, 41, 50) for sensing the emission of the electromagnetic field (12). The system further employs a quality assurance controller (74) for assessing a tracking quality of the electromagnetic field (12) derived from a monitoring of a sensed position of each quality assurance electromagnetic sensor (11, 21, 31, 41, 50) within a field-of-view of the electromagnetic field (12). The electromagnetic field generator (10), an ultrasound probe (20), an ultrasound stepper (30) and/or a patient table (40) may be equipped with the quality assurance electromagnetic sensor(s) (11, 21, 31, 41, 50).

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: Embodiments of the present invention provide an approach for adapting an information extraction middleware for a clustered computing environment (e.g., a cloud environment) by creating and managing a set of statistical models generated from performance statistics of operating devices within the clustered computing environment. This approach takes into account the required accuracy in modeling, including computation cost of modeling, to pick the best modeling solution at a given point in time. When higher accuracy is desired (e.g., nearing workload saturation), the approach adapts to use an appropriate modeling algorithm. Adapting statistical models to the data characteristics ensures optimal accuracy with minimal computation time and resources for modeling. This approach provides intelligent selective refinement of models using accuracy-based and operating probability-based triggers to optimize the clustered computing environment, i.e., maximize accuracy and minimize computation time.

Abstract: A method is implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions. The programming instructions are operable to determine one or more optimal mappings between a server layer and a storage layer through a network layer based on performance metrics of one or more ports of at least one of the server layer, the storage layer and the network layer.

Abstract: A method and system for optimizing power consumption of a data center by dynamic workload adjustment. 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 at least one candidate workload solution having a lowest sum of a respective power cost and a respective migration cost. Each candidate workload solution represents a respective application map that specifies a respective workload distribution among application programs of the data center. 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.