This paper presented an adaptive network fuzzy inference system (ANFIS) to diagnose the fault type of the gearbox. The gearbox conditions to be considered were healthy, broken gear, worn gear and worn bearing. These features are extracted from vibration signals using the FFT technique. The features were fed into an adaptive neuro-fuzzy inference system as input vectors. Performance of the system was validated by applying the testing data set to the trained ANFIS model. According to the result, total classification accuracy was 95.24%. This shows that the system has great potential to serve as an intelligent fault diagnosis system in real applications.

The main idea of this research is the investigation of the status of the relationships between Multiple Intelligences and students’ English Reading Comprehension Ability in Islamic Azad University of Ajabshir . Therefore, for testing multiple intelligences and for investigating students’ English Reading Comprehension Ability we will use for both standard questionnaires in this research. This study's sample is 203 students (87 males 116 females) in Islamic Azad University in Ajabshir. After reliability and validity testing the data has been collected by two questionnaires, multiple intelligences and students’ English Learning. Also descriptive and inferential statistics have been used for analyzing the data. Descriptive statistics for commentary and data categorizing and for hypothesis testing the inferential statistics have been used. Finding shows that; multiple intelligences have effect on students’ English Reading Comprehension Ability in Islamic Azad University in Ajabshir.

This study was performed on the bread wheat genotypes in a randomized complete block design with three replications at the research farm of Islamic Azad University, Ardabil in 2011. Eleven traits such as number of grains per spike, number of sterile florets, plant height, biological yield, grain yield, harvest index, peduncle weight, psychological days to maturity, seed weight, panicle length and number of tillers per plant were measured were taker and measured. The results showed that the genotypes have significantly different characteristics. Genotype correlation was used for the present a correlation coefficient and causation because of its importance in comparison with phenotypic coefficients. There was positive and significant correlation between panicle length and number of grains per spike, grain yield and grain weight. Peduncle weight, plant height and grain weight has also a significant positive correlation. Plant height, number of grains per spike and tillers per plant showed positive and significant correlation and with grain yield represent negative and significant correlation. Grain yield, harvest index and grain weight showed a positive and significant correlation and harvest index with grain weight showed a negative correlation. Traits such as harvest index, grain weight and grain number per spike and grain yield had the highest direct effect on grain yield based on the analysis of causality. According to the results and genotype correlation these traits can be used as selection criteria in enhancing and improvement of performance in the breeding programs.

Humic acids (HA) are a major component of organic fertilizers. In order to study the response of maize genotype against the application of peat and leonardite based liquid humic fertilizers, an experiment was conducted at experimental field of Islamic Azad University, Ardabil Branch in 20092010 cropping year. The Experiment was conducted of randomized complete block design (RB) with three replications. Treatment used on the Single cross 704 genotype was at three Conditions (peat based humic fertilizer; leonardite based humic fertilizer; without the application of humic fertilizer). Results showed that there was significant difference between the experimental conditions (test solution) in terms of dry matter percentage of stem at 1% level and in terms of dry matter percentage of leaf at 5% level. The results of the comparison data on the experimental conditions (test solution) showed the liquid Humic fertilizer based on Leonardite, in terms of traits such as dry matter percentage of stem and dry matter percentage of leaf and respectively, with average of 48.94 and 54.58 had the greatest percentage.

Humic substances (HS) are the components of organic decomposition and they are the natural organic compounds which comprise 50 to 90 % of the organic matter of peat, lignites and sapropels, as well as of the non- living organic matter of soil and water ecosystems. In order to study the response of maize genotype against the application of peat and leonardite based liquid humic fertilizers, an experiment was conducted at experimental field of Islamic Azad University, Ardabil Branch in 20092010 cropping year. The Experiment was conducted of randomized complete block design (RB) with three replications. Treatment used on the Single cross 704 genotype was at three Conditions (with the application of humic fertilizer; without the application of humic fertilizer). Results showed that there was significant difference between the experimental conditions (test solution) in terms the all traits at 1% level. The water waste of stem, Humic liquid fertilizers based on Leonardite with an average of 0.35 between studied conditions were the best conditions. Normal condition and the liquid humic fertilizer based on pit respectively with an average of 0.59 and 0.52 were in the next rank.