ISSN: 1813-0410

Keywords : Gain


Effect of the lambs sex in some growth traits of three different Awassi sheep flocks

Ahmed Ali Adhab; Bashar A. Ahmed

journal of kerbala university, Volume 13, Issue 2, Pages 206-211

In this study, 93 Awassi lamb used to find the effect of the sex of lamb in weight from birth to weaning and the weight gain from birth to weaning for three flocks of Awassi sheep (improved flock, not improved flock, breeder flock). It observed the presence outweigh the significant male weight in the fourth month in not improved flock (28.94, 23.61 kg) as well as male superiority over females in weight gain for the third month (6.42, 4.00 kg) and the fourth month (4.79, 3.26 kg).
While non significant effect on the sex of the lambs in the weight and weight gain of the flock is not improved and the breeder flock. The correlations between the weights and weight gain were significant with the exception of a relationship lamb birth weight with the first weight gain, third and fourth. As well as negative for the lamb weight for the first month with fourth weight gain insignificant between weight gain-fourth and the second and third lamb weight and third weight gain and negative with an first weight gain.
In this study, 93 Awassi lamb used to find the effect of the sex of lamb in weight from birth to weaning and the weight gain from birth to weaning for three flocks of Awassi sheep (improved flock, not improved flock, breeder flock). It observed the presence outweigh the significant male weight in the fourth month in not improved flock (28.94, 23.61 kg) as well as male superiority over females in weight gain for the third month (6.42, 4.00 kg) and the fourth month (4.79, 3.26 kg).
While non significant effect on the sex of the lambs in the weight and weight gain of the flock is not improved and the breeder flock. The correlations between the weights and weight gain were significant with the exception of a relationship lamb birth weight with the first weight gain, third and fourth. As well as negative for the lamb weight for the first month with fourth weight gain insignificant between weight gain-fourth and the second and third lamb weight and third weight gain and negative with an first weight gain.

Proposal to Enhance NIDS

journal of kerbala university, Volume 11, Issue 4, Pages 145-151

Proposed work aim to build a proposed Gain Association Rules -Based Network Intrusion Detection System (GARNIDS). GARNIDS trend to enhance traditional NIDS through using three of data mining algorithms; these are: Gain which is measure the entropy for each feature to detect it is Domination Degree (DD) for each attack, then feeding these features with their DD to a proposed Gain Association Rule (GAR) algorithm that to rank the features according to two parameters (frequency and DD). Finally customize K Nearest Neighbor (KNN) as misuse classifier (detect the intrusions and specify their types) the proposal assume the k equal to 3.
Many experimental works are conducted to evaluate the proposal over the KDD'99 dataset and show the efficiency of KNN through registering 86% of accuracy with all features, 90% of accuracy with 25 top features and the accuracy was 98% with 8 top features. Also the Detection Rate (DR) and False Alarm Rates (FAR) are both measured with those three cases and still KNN with the top 8 features is the higher in DR and lower in FAR. Finally when try the proposal in real-time with tcpdump the third case register higher accuracy (93%).