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In an attempt to control Ca3(PO4)2, CaCO3, and CaSO4 deposits in industrial recycling water systems, an acrylic acid (AA)–allylpolyethoxy carboxylate (APEC) copolymer was examined as a nonphosphorus inhibitor. The synthesized AA–APEC copolymer was characterized by FT-IR. The performance of AA–APEC on inhibition of Ca3(PO4)2, CaCO3, and CaSO4 precipitation was compared with that of current commercial inhibitors. It was shown that AA–APEC exhibited excellent ability to control inorganic minerals, with approximately 82.88% CaSO4 inhibition and 99.89% Ca3(PO4)2 inhibition at levels of 3 and 6 mg/L AA–APEC, respectively. AA–APEC also displayed ability to prevent the formation of CaCO3 scales. Transmission electron microscopy (TEM) images indicated that the outstanding performance of AA–APEC on Ca3(PO4)2 inhibition resulted from a decrease in size of Ca3(PO4)2 solid particles thereby dispersing these particles throughout a fluid, while CaCO3 inhibition was attributed to the formation of ribbon-shaped structures...

Novel double-hydrophilic block copolymers, maleic anhydride (MA)−allylpolyethoxy carboxylate (APEC) and maleic anhydride (MA)−ammonium allylpolyethoxy sulfate (APES), were specially designed and synthesized from allyloxy polyethoxy ether (APEO) to inhibit the precipitation of calcium phosphate and iron (III). Structures of APEO, APEC, MA−APEC, APES, and MA−APES were characterized by FT-IR. The study shows that both MA−APEC and MA−APES have significant ability to inhibit the precipitation of calcium phosphate at the dosage of 6 mg/L, approximately showing 99 and 90% inhibition, respectively. The data of the light transmittance of ferrous solutions show that, compared to MA−APES, MA−APEC has superior ability to stabilize iron (III) in solutions. The light transmittance of ferrous solutions is about 23% in the presence of MA−APEC when the dosage is 6 mg/L, whereas in the presence of MA−APES, it is about 31% at a dosage of 12 mg/L. Scanning electron microscopy (SEM) shows that the copolymers influence the mor...

In the demo, we present the IMKA system, which implements the innovative approach of integrating perceptual information such as low-level features and images, and symbolic information such as words to represent the knowlege associated with a large multimedia collection for multimedia organization and retrieval. The IMKA system utilizes the unique MediaNet framework, which greatly extends existing knowlege representation tools in the text domain (e.g., semantic networks and WordNet) and the multimedia domain (e.g. Multimedia Thesaurus) by combining perceptual and semantic concepts in the same network and by supporting perceptual and semantic relationships among concepts exemplified by different media. It also brings the level of multimedia retrieval closer to users' needs by translating low-level feature queries to high-level semantic queries and vice versa. We will demonstrate the process of constructing the MediaNet knowledge base and new ways of searching multimedia in the IMKA system by presenting the current implementation of the IMKA system that uses image collections from online sources.