Abstract: Fluid containing contaminants may be filtered using a hydraulic control line filter for subsea high-pressure application comprising a housing, an end cap disposed at a first end of the housing where the end cap defines a filter fluid connector which comprises a fluid inlet and a filtered fluid outlet, a first centralizer disposed within the housing, a sump tube disposed within the housing and centralized within the first centralizer where an outside diameter of the sump tube and an inside diameter of the housing define a sump volume annulus there-between, a filter centralizer, and a fluid filter disposed in the housing and centralized within the sump tube by the filter centralizer.

Abstract: Fluid containing contaminants may be filtered using a hydraulic control line filter for subsea high-pressure application comprising a housing, an end cap disposed at a first end of the housing where the end cap defines a filter fluid connector which comprises a fluid inlet and a filtered fluid outlet, a first centralizer disposed within the housing, a sump tube disposed within the housing and centralized within the first centralizer where an outside diameter of the sump tube and an inside diameter of the housing define a sump volume annulus there-between, a filter centralizer, and a fluid filter disposed in the housing and centralized within the sump tube by the filter centralizer.

Abstract: Embodiments of present invention provide a system and method for electronic evaluation of candidates. The system provides a central server adapted to be communicably coupled to a plurality of client devices. Graders/evaluators may generate a gradation test that is stored on the central server or any other server communicably coupled thereto. The central servers makes available, to duly authenticated client devices, through exam-center servers, the gradation test over a secure channel, which may be answered by the candidates electronically. The answers of candidates, including answers written in their own handwriting using a tablet and stylus, are stored on the central server and made available to duly authenticated grader/evaluators for evaluation. The present invention enables evaluation to be carried out in a time-effective and cost-efficient manner with utmost security.

Abstract: Embodiments of present invention provide a system and method for electronic evaluation of candidates. The system provides a central server adapted to be communicably coupled to a plurality of client devices. Graders/evaluators may generate a gradation test that is stored on the central server or any other server communicably coupled thereto. The central servers makes available, to duly authenticated client devices, through exam-center servers, the gradation test over a secure channel, which may be answered by the candidates electronically. The answers of candidates, including answers written in their own handwriting using a tablet and stylus, are stored on the central server and made available to duly authenticated grader/evaluators for evaluation. The present invention enables evaluation to be carried out in a time-effective and cost-efficient manner with utmost security.

Abstract: An algorithm system and method is disclosed. In one embodiment, a method includes selecting an algorithm to calculate a demand factor for each job in a job list requiring a demand factor calculation, calculating the demand factor using the selected algorithm, and assigning the calculated demand factors to the corresponding jobs in the job list. The calculating demand factor using the selected algorithm includes utilizing data associated with a job in the job list to calculate the demand factor using the selected algorithm. For example, the data includes aging data of the jobs, job status data, and client priority data of the job.

Abstract: An algorithm system and method is disclosed. In one embodiment, a method includes selecting an algorithm to calculate a demand factor for each job in a job list requiring a demand factor calculation, calculating the demand factor using the selected algorithm, and assigning the calculated demand factors to the corresponding jobs in the job list. The calculating demand factor using the selected algorithm includes utilizing data associated with a job in the job list to calculate the demand factor using the selected algorithm. For example, the data includes aging data of the jobs, job status data, and client priority data of the job.