Abstract: Systems, methods, and computer program products for thermal contrast determinations are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a field of view of the first IR imaging device and a computing device connected with the first IR imaging device. The computing device receives probe temperature data from a temperature probe indicative of an external environment of the imaging system and receives the first IR image data from the first IR imaging device. The computing device determines background temperature data based upon the first IR image data, determines gas temperature data based upon the probe temperature data, and determines a thermal contrast for each pixel based upon a comparison between the background temperature data and the gas temperature data. The computing device further determines a detection limit for each pixel as a function of thermal contrast.

Abstract: Methods, apparatuses, devices, and computer program products are disclosed for container transportation. An example system includes a conveyor network that includes a plurality of conveyors and each conveyor supports one or more containers thereon. Each conveyor defines a conveyor length and a conveyor operating speed. The system further includes a computing device operably coupled to the conveyor network. The computing device receives a starting location and a destination location of a first container within the conveyor network and receives an operating density for each conveyor in the conveyor network. The computing device determines a first travel path for the first container between the starting location and the destination location based upon the conveyor length, the conveyor operating speed, and the operating density for each conveyor in the conveyor network. The first travel path minimizes a total travel time for the first container between the starting location and the destination location.

Abstract: Systems, methods, and computer program products for thermal contrast determinations are provided. An example imaging system includes a first infrared (IR) imaging device that generates first IR image data of a field of view of the first IR imaging device and a computing device connected with the first IR imaging device. The computing device receives probe temperature data from a temperature probe indicative of an external environment of the imaging system and receives the first IR image data from the first IR imaging device. The computing device determines background temperature data based upon the first IR image data, determines gas temperature data based upon the probe temperature data, and determines a thermal contrast for each pixel based upon a comparison between the background temperature data and the gas temperature data. The computing device further determines a detection limit for each pixel as a function of thermal contrast.

Abstract: Methods, apparatuses, devices, and computer program products are disclosed for container transportation. An example system includes a conveyor network that includes a plurality of conveyors and each conveyor supports one or more containers thereon. Each conveyor defines a conveyor length and a conveyor operating speed. The system further includes a computing device operably coupled to the conveyor network. The computing device receives a starting location and a destination location of a first container within the conveyor network and receives an operating density for each conveyor in the conveyor network. The computing device determines a first travel path for the first container between the starting location and the destination location based upon the conveyor length, the conveyor operating speed, and the operating density for each conveyor in the conveyor network. The first travel path minimizes a total travel time for the first container between the starting location and the destination location.

Abstract: Methods, apparatuses, devices, and computer program products are disclosed for container transportation. An example system includes a conveyor network that includes a plurality of conveyors and each conveyor supports one or more containers thereon. Each conveyor defines a conveyor length and a conveyor operating speed. The system further includes a computing device operably coupled to the conveyor network. The computing device receives a starting location and a destination location of a first container within the conveyor network and receives an operating density for each conveyor in the conveyor network. The computing device determines a first travel path for the first container between the starting location and the destination location based upon the conveyor length, the conveyor operating speed, and the operating density for each conveyor in the conveyor network. The first travel path minimizes a total travel time for the first container between the starting location and the destination location.

Abstract: Methods, apparatuses, devices, and computer program products are disclosed for container transportation. An example system includes a conveyor network that includes a plurality of conveyors and each conveyor supports one or more containers thereon. Each conveyor defines a conveyor length and a conveyor operating speed. The system further includes a computing device operably coupled to the conveyor network. The computing device receives a starting location and a destination location of a first container within the conveyor network and receives an operating density for each conveyor in the conveyor network. The computing device determines a first travel path for the first container between the starting location and the destination location based upon the conveyor length, the conveyor operating speed, and the operating density for each conveyor in the conveyor network. The first travel path minimizes a total travel time for the first container between the starting location and the destination location.

Abstract: A method of bandwidth optimization in a non-volatile memory system includes: retrieving hard data bits; generating soft information from the hard data bits; applying a lossless compression to the soft information for calculating syndrome bits; and executing a low density parity check (LDPC) iterative decode on the hard data bits and the syndrome bits.

Abstract: A method for improving data integrity in a non-volatile memory system includes: accessing a non-volatile memory cell for retrieving hard data bits; generating soft information by capturing a reliability of the hard data bits; calculating syndrome bits by applying a lossy compression to the soft information; and generating a host data by executing a low density parity check (LDPC) iterative decode on the hard data bits and the syndrome bits.

Abstract: A method of bandwidth optimization in a non-volatile memory system includes: retrieving hard data bits; generating soft information from the hard data bits; applying a lossless compression to the soft information for calculating syndrome bits; and executing a low density parity check (LDPC) iterative decode on the hard data bits and the syndrome bits.

Abstract: A method for improving data integrity in a non-volatile memory system includes: accessing a non-volatile memory cell for retrieving hard data bits; generating soft information by capturing a reliability of the hard data bits; calculating syndrome bits by applying a lossy compression to the soft information; and generating a host data by executing a low density parity check (LDPC) iterative decode on the hard data bits and the syndrome bits.