This study was conducted to investigate the total polyphenol, total flavonoid and the antioxidant activity in different origin and parts of Moringa olerifera cultivated in Cheorwon. The extraction yield from leaf, root and stem were 25.5, 23.0, 12.3%, respectively. The total polyphenol content was high in the leaf extracts (15.77 mg/g) followed by root extracts (11.23 mg/g) and stem extracts (3.50 mg/g) but the difference of origin was not observed. The total flavonoid content was high in the leaf extracts (14.78 mg/g) followed by stem (1.36 mg/g) and root (1.14 mg/g). The total flavonoid content of Philippines and Thailand leaf were statistically high compared to india leaf. The DPPH radical scavenging activity was high in the leaf extracts at the 1 mg/ml, 0.25 mg/ml but the difference of origin was not observed. The DPPH radical scavenging activity may be attributed to the presence of several compounds such as polyphenol and flavonoid. Hence consumption of diet supplemented with Moringa olerifera leaves could protect the human against diseases induced by oxidative stress.

This study is concerned with developing a heuristic algorithm for solving a class of ninlinear integer programs(NLIP). Exact algrithm for solving a NLIP either may not exist, or may take an unrealistically large amount of computing time. This study develops a new heuristic, the Excursion Algorithm(EA), for solving a class of NLIP's. It turns out that excursions over a bounded feasible and/or infeasible region is effective in alleviation the risks of being trapped at a lical optimum. The developed EA is applied to the redundancy optimization problems for improving the system safety, and is compared with other existing heuristic methods. We also include simulated annealing(SA) method in the comparision experiment due to ist populatrity for solving complex combinatorial problems. Computational results indicate that the proposed EA performs consistently better than the other in terms of solution quality, with moderate increase in computing time. Therefore, the proposed EA is believed to be an attractive alternative to other heuristic methods.

In this paper, the individual number of the future has depended not only upon the present individual number but upon the present individual age, considering the stochastic process model of individual number when the life span of each individual number and the individual age as a set, this becomes a Markovian. Therefore, in this paper the individual is treated as invariable, without depending upon the whole record of each individual since its birth. As a result, suppose N(t), t〉0 be a counting process and also suppose Zn</Tex> denote the life span between the (n-1)st and the nth event of this process, (ngeq1〈/TEX〉) : that is, when the first individual is established at n=1(time, 0), the ZZn</Tex> at time nth individual breaks, down. Random walk Zn〈/Tex〉 is Zn=X1+X2+·s·s+XA, Z0=0</Tex> So, fixed time t, the stochastic model is made up as follows ; A) Recurrence (Regeneration)number between(0.t) Nt=maxn ; Zn≤t B) Forwardrecurrence time(Excess life) T-It=ZNt+1-t C) Backward recurrence time(Current life) T-t=t-ZNt