Abstract: The present invention provides improved methods, apparatus, and manufacture for an Archimedes Screw using a new blade design to increase the volume of water raised or lowered by about 9%-18%. The invention, in part alters the shape of the blades within the screw from a helicoid shape to a new shape called a “makroid” by the inventor. A helicoid blade in an Archimedes Screw has been used since antiquity and has not changed since then, limiting the efficiency. The makroid shape allows a greater quantity of water to be contained within the screw.

Abstract: The present invention provides improved methods, apparatus, and manufacture for an Archimedes Screw using a strake design as a blade to increase the volume of water raised or lowered by about 10%. The invention, in part, alters the shape of the blades within the screw from a helicoid shape to a strake shape. A helicoid blade in an Archimedes Screw has been used since antiquity and has not changed since then, limiting the efficiency and manufacturing process. The strake shape allows a greater quantity of water to be contained within the screw and is a developable surface that enables easier fabrication than the helicoid shape.

Abstract: The present invention provides improved methods, apparatus, and manufacture for an Archimedes Screw using a strake design as a blade to increase the volume of water raised or lowered by about 10%. The invention, in part, alters the shape of the blades within the screw from a helicoid shape to a strake shape. A helicoid blade in an Archimedes Screw has been used since antiquity and has not changed since then, limiting the efficiency and manufacturing process. The strake shape allows a greater quantity of water to be contained within the screw and is a developable surface that enables easier fabrication than the helicoid shape.

Abstract: A computational geometry technique is utilized to detect, diagnose, and/or mitigate fault detection during the execution of a software application. Runtime measurements are collected and processed to generate a geometric enclosure that represents the normal, non-failing, operating space of the application being monitored. When collected runtime measurements are classified as being inside or on the perimeter of the geometric enclosure, the application is considered to be in a normal, non-failing, state. When collected runtime measurements are classified as being outside of the geometric enclosure, the application is considered to be in an anomalous, failing, state. In an example embodiment, the geometric enclosure is a convex hull generated in N-dimensional Euclidean space. Appropriate action (e.g., restart the software, turn off access to a network port) can be taken depending on where the measurement values lie in the space.

Abstract: A computational geometry technique is utilized to detect, diagnose, and/or mitigate fault detection during the execution of a software application. Runtime measurements are collected and processed to generate a geometric enclosure that represents the normal, non-failing, operating space of the application being monitored. When collected runtime measurements are classified as being inside or on the perimeter of the geometric enclosure, the application is considered to be in a normal, non-failing, state. When collected runtime measurements are classified as being outside of the geometric enclosure, the application is considered to be in an anomalous, failing, state. In an example embodiment, the geometric enclosure is a convex hull generated in N-dimensional Euclidean space. Appropriate action (e.g., restart the software, turn off access to a network port) can be taken depending on where the measurement values lie in the space.