Abstract: Concentrates for lubricating oil compositions are prepared by blending at elevated temperature: (A) at least one high molecular weight ashless dispersant; and (B) at least one oil-soluble metal detergent; in the presence of (C) at least one metal salt of a dihydrocarbylphosphorodithoic acid wherein the metal of the metal salt is an alkali metal, an alkaline earth metal, or zinc, aluminium, lead, tin, molybdenum, manganese, nickel or copper.

Abstract: Concentrates for lubricating oil compositions are prepared by mixing at elevated temperature: (i) at least one high molecular weight ashless dispersant; (ii) at least one oil-soluble overbased metal detergent; and (iii) at least one surface-active agent comprising a low molecular weight hydroxyl or amine group.

Abstract: The system of the present invention applies self-organizing and/or supervd learning network methods to the problem of segmentation. The segmenter receives a visual field, implemented as a sliding window and distinguishes occurrences of complete characters from occurrences of parts of neighboring characters. Images of isolated whole characters are true objects and the opposite of true objects are anti-objects, centered on the space between two characters. The window is moved across a line of text producing a sequence of images and the segmentation system distinguishes true objects from anti-objects. Frames classified as anti-objects demarcate character boundaries, and frames classified as true objects represent detected character images. The system of the present invention may be a feedforward adaption using a symmetric triggering network. Inputs to the network are applied directly to the separate associative memories of the network.