Archives-June 2014

Innovation in Technical and Vocational Education (TVE) is one of the required methods in this transformation era, thus a leader plays an important role in ensuring the successfulness of an organization. Which is, leader must have the leadership skill and it become a key component of an organization, management and administration of educational organizations and systems on going for future. This research was focused on five aspects which are attitude or personality of a leader, experience of a leader in administration as well as Learning and Teaching process (L & T), school environment, an organization’s financial and leader workloads. The objectives of this research is to investigate the limiting factors of leaders’ innovation and the encouragement that can help motivate the leader in implementing innovation in TVE. There were 48 respondents of technical teachers from Batu Pahat Vocational College for this research. This research is a quantitative survey and a set of questionnaire was used as the research instrument. The data will analyze the percentage, mean score and standard deviation. This research indicates that technical teachers have been moderately implementing innovation in their L & T process. The support from management encourage teacher to fully implementing the practices in school.Beside, these technical teachers had shown a positive attitude in making this innovation as a culture in their school.

Data mining is has three major components Clustering or Classification, Association Rules and Sequence Analysis. Association rules used to find interesting relationship between attribute values. Sequence Analysis used to find statistically relevant patterns between data. Data mining techniques have led over various methods to gain knowledge from vast amount of data. Association rules are mainly used in mining transaction data to find interesting relationship between attribute values and also it is a main topic of data mining There is a great challenge in candidate generation for large data with low support threshold. Association rules will be effectively worked with the solid data and low support threshold was discussed. By using Apriori algorithm we applied association rules on data set of certain areas to predict the chance of getting the dengue disease, the above data set was collected from some selected areas, so it is the real time data. Three different sets of rules are generated with this dataset and applied the Apriori algorithm to it, find the relation between the parameters in database.

The study was undertaken to find out the influence of different manure treatment methods on carbon sequestration potential of fodder maize. Significantly higher carbon sequestration potential was observed in improved, followed by enriched and vermicompost manure treatments than farmer’s and inorganic fertilizer treatment groups at 60th day. It was concluded that application of improved, enriched and vermicompost manure sequestered higher carbon from the atmosphere than other treatments, implying the benefit for reducing the impact of carbon, a potential green house gas.

The study was under taken to find out the effect of different organic manure on the yield and carbon sequestration potential of fodder maize. Result revealed that green fodder yield were significantly (P<0.01) higher in improved, enriched and vermicompost method. Similarly carbon sequestration potential was significantly higher in improved (4.19 t/ha) followed by enriched (4.16 t/ha) and vermicompost (4.09 t/ha) methods. It was concluded that the application of vermicompost, improved and enriched manure increased fodder yield and sequestered higher carbon from the atmosphere than other treatments.

The purpose of this article is to compute the reliability measures of an automobile assembly plant. An automobile assembly plant consists of five sub-systems working in series as: Vendor (supply steel metal and body parts), Weld shop, Paint shop, Assembly shop and Quality department. Weld shop and Assembly shop has the configuration 2-out-of -3: G and 1-out-of-3: F. Considered system can completely fail due to failure of any of the subsystems. It is also assumed that the system can fail due to machine failures. Machine failures can be major or minor. All failures follow exponential time distribution whereas all repairs follow general time distribution. Preventive maintenance policy has been applied to reduce the failure in the system. Risk analysis has been made which may occur due to the mistake of quality department in quality checks. Various reliability characteristics such as transition state probabilities, steady state behaviour, reliability, availability, M.T.T.F, sensitivity analysis and the cost analysis have been obtained using supplementary variable technique and Gumbel-Hougaard copula methodology. We also perform a parametric investigation which provides numerical results to show the effects of different system parameters to the reliability and MTTF which may be helpful to managerial staff of the industry in the decision making.

Globalization and the rise of modern cities in the early twenty-first century, two important events in the history of human life. Globalization means the dense accumulation of knowledge about the world. In thinking and action are to measure one place .At the national societies, especially individual to accept as part of a larger set entity themselves. The modern city is a city that has global diffusion of power. Globalization and modernity and modernization of leading to Trends, changes in lifestyle and less Significant of native elements of architecture and urbanism and urban design affects. This study is descriptive and analytical that using a library research tool attempts to analyze the impact on the historic context of the cities that are global, in that order. Kermanshah city has been selected.

The area of sentiment mining (also called sentiment extraction, opinion mining, opinion extraction, sentiment analysis, etc.) has seen a large increase in academic interest in the last few years. Researchers in the areas of natural language processing, data mining, machine learning, and others have tested a variety of methods of automating the sentiment analysis process. The feasibility and the benefits of the proposed approaches are demonstrated by means of spam review that is widely used in the field of sentiment classification. In the proposed work, a comparative study of the effectiveness of ensemble technique is made for sentiment classification. Bagging and boosting are two relatively new but popular methods for producing ensembles. In this work, bagging is evaluated on spam review data set in conjunction with Naive Bayes (NB), Support Vector Machine (SVM), Genetic Algorithm (GA) as the base learners. The proposed bagged NB, SVM, GA is superior to individual approaches for spam review in terms of classification accuracy.

Radon 222 is a radioactive gas that evolves from the radioactive decay of uranium and thorium in rocks and soils and is dangerous when inhaled indoors. Although some areas in the United Kingdom are at higher risks than the others, the effect on the health of its victims is generally devastating as several studies have linked radon to lung cancer. This research was carried out by administering structured questionnaire to voluntary participants dwelling in Loughborough, Leicestershire. The result showed that one out of every seven survey participants had never heard of radon and the effect on health. In addition to this, majority of the participants do not have an idea of the cost of monitoring radon in the home and therefore have never tested for radon. Also, one out of every eight smokers is not aware of the health effects of radon. This study concluded that there is the need for greater awareness of indoor radon health effect in the home. Further studies may be extended to other parts of the UK. Furthermore, there is also the possibility of wider study of assessing the level of indoor radon awareness amongst smokers in the United Kingdom.

This study aimed to investigate the relationship between organizational commitment and personal qualities of staff of Imam Khomeini Hospital Islamabadgharb, was performed. Types of research according to purpose, applicability, and the nature and methods, descriptive. Population, all staff of Imam Khomeini Hospital of Islamabadgharb, 140 persons, of which, according to the formula for calculating sample size of farmers and Morgan (1970 ), 103, as the sample was selected. The measurement tool is the questionnaire, the Cronbach's alpha coefficient of 0.846, proven reliability, and validity of, according to experts, has been approved. To analyze the results, the test t, for independent samples, and ANOVA, and univariate linear regression to evaluate the hypotheses used. The results of the analysis results show that, significant relationship between organizational commitment and age, gender, and educational level do not exist only between organizational commitment and service experience, a significant correlation is observed.

The phenomenon of alienation that Marx, unlike that of limited means, is not only of the economic structure, but also have been a widespread subjective and objective orientation in human and economic structure is a part of it. Alienation of Iranian society as a society in transition is a sociological problem. In the past decades, especially in the sixties that rapid social changes undermined the traditional values and customs, modernism dealing with traditionalism without being able to create conceptions and cultural identity created two-fold condition which the result can be considered as social- political alienation. Given the importance of the youth in this study followed by a discussion of the relationship between alienation from the political system, political participation, the use of local media, the use of foreign media, economic - social, age and gender as independent variables. social - Political alienation as the dependent variable we are. The results suggest that variable other than economic - social, there is a significant relationship between independent and dependent variables.