Narrow Results

This paper puts forwards the detecting algorithm and the extracting algorithm for hidden information, which are respectively based on domain of variation and still color digital image. Efforts are made to explore the effects of the amplified information of wavelet transformation, the displaying of hidden information and its opposite process. Based on the model of the influence of information hiding on carrier properties, this paper establishes a general mathematical model for extracting hidden information and a positive transfer function and a reverse transfer function oriented to the set of “the influence of information hiding on carrier properties”. After the information is marked, analyzed and extracted, the hidden information can be restored, with satisfactory results for information recognition and analysis. As a result, it is possible to extract electronic evidence of hidden data rapidly.

This research work was carried out in order to develop an improved motorized nmanu akuoyibo (coconut oil) extracting machine with an ability to grind, break, split akuoyibo/coconut meat. The machine can be used for other oil-bearing seeds such as ground nut and palm kernel. The machine is made up of a plunger, ram dics, expression chamber, electric heater and bearings. The extractor can process 10kg nmanu akuoyibo/coconut oil per hour. An efficiency of 15% was obtained from the akuoyibo/coconut cake of 2.9kg (wet basis) while for dry basis 40% of oil was obtained from the akuoyibo /coconut cake of 2.5kg. The machine is portable, unique in design and can be use for domestic and industrial purposes for commercialization. The machine will create job opportunities for self employment in Nigeria.