Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
Wettability is one of the parameters controlling fluid distribution and flow behavior in a porous media. The spontaneous imbibition is a major indicator for the type of wettability. A lot of qualitative and quantitative methods for wettability measurement were presented in the literature. The quantitative methods usually depend on the direct volume measurement for spontaneous imbibition evaluation. The weighing technique was equipped in this research to measure the spontaneous imbibition in addition to the direct volume measurement. Samples of different sizes taken from the same rock source were used. Results shows that there is a difference between the averaged values resulted from the weighted method and that resulted from the direct measurement. Also, there is a difference between the ultimate water saturation value for these samples in spite of that all of them are from the same source
finding large prime numbers from two prime numbers is a relatively easy task, the problem of factoring the product of two such numbers considered computationally intractable if the primes are carefully selected. This problem called the integer factorization problem. Based on the difficulty of this problem, many public-key cryptosystems developed like RSA, Rabin, and Williams. This cryptosystem together with the development of high-speed computers for the implementation and testing of sophisticated algorithms draws the attention of the researcher to study it. This paper proposed an efficient genetic algorithm for solving the factorization problem. The new efficient features, which are the strategic oscillation (embedded in crossover operation), and exploitation (embedded in the mutation operation), are selected from the meta-heuristic tabu–search. The proposed genetic algorithm has implemented and evaluated against the former algorithms. Test results show that it performs more efficiently in exploring different search space than both algorithms to find the solution
