Distributed virtual machine allocation using DRR algorithm in cloud computing
In private cloud during FFCS registration large amount of students are trying to register their subject at same time from different places so heavy load is departing to server due to this heavy load to resources the server unable to give where response to students which lead to the problem student can’t register properly within given time or wait for long time until server recover from this problem. This problem can be solved by allocating the resources properly to server this comes under the infrastructure as a service (IaaS) we can use and allocate a various kind of resources. This paper proposed solved this problem efficiently according virtual machine is distributed in hierarchical architecture using dynamic round robin algorithm[DRR] , resources will be allocate efficiently so the load will be distributed to various virtual machine then student need not to wait for long time and they can register properly within a given time. Finally implemented on Simulator Cloudsim 3.0. Experiment result show DRR can achieved resource allocation efficiently in cloud computing.
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Do the sentiments on the net really matter?
Our information-gathering behavior has always been to find out what other people think. Opinion-rich resources such as online review sites and personal blogs are growing rapidly which provide new opportunities and challenges, as people can actively use information technologies to seek out and understand the opinions of others. People share their experiences on-line, express their opinions, frustrations about anything. The huge amount of available data creates opportunities for automatic mining and analysis. It can be considered as a classification task: their feelings can be positive, negative or neutral. People don’t directly express sentiment, They can also use a diverse range of other methods to express their emotions. Authors may mix objective and subjective information about a topic, or write down psots about other topics than the one we are investigating. And also there is a lot of noise in the data gathered from the Web pages. Due to this the task of automatic recognition of the sentiment in on-line text becomes more difficult. The content we are interested in this paper is, what is sentiment analysis, how the sentiment analysis was useful for a bank, how can it be applied in market intelligence and what are the challenges that could be faced in Indian scenario.
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Does Task Shape Learning Strategy Use? Constructive Feedback-based Journal Writing and Use of Learning Strategies by EFL Learners
While since a rather long time ago teacher feedback has received a lot of attention in learning a foreign language, quite recently, a gradual but prominent shift has taken place within the field of education, resulting in greater emphasis on learners and learning and less stress on teachers and teaching (Hismanoglu, 2000). An outcome of this event has been more emphasis on language learning strategies (Oxford, 1990). As another sign of increasing emphasis on learners, many studies have focused on the use of journals in EFL classes (Park, 2003). However, the present researcher failed to find any published research on how teacher feedback on EFL students’ journals can contribute to strategies they use for learning English as a foreign language. Thus, this study was conducted to explore contributions of teacher constructive feedback on Iranian EFL students’ journals to their use of language learning strategies. A group of EFL learners received a 3-month treatment of feedback-based journal writing and a control group did not receive any treatment. Prior to and following the treatment, the SILL was administered to the groups. Then, they were required to write journals which were followed by teacher constructive feedback for eight sessions. Pertinent statistical analyses showed that feedback-based journal writing does not have any significant effects on the use of learning strategies by EFL learners. However, longitudinal studies are suggested so that further realities of mental processing can be explored.
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Dynamic verses formative assessment: A comparative study
Dynamism pumps the blood to the body of society; therefore, the dynamic and communicative nature of language can not only be considered integral in teaching, but also in assessing a language. Recently, all over the world traditional ways of assessment are trading place with more communicative ones. The primary purpose of this study was to investigate whether dynamic and formative assessment had significantly different impact on improving the listening skills of Iranian EFL Learners. To do so, 90 intermediate male and female learners from a language school in Tehran were elected. A piloted PET was administered as homogeneity test and 60 learners were selected as the participants and randomly assigned into two groups of thirty. To make sure that there is no statistically significant difference between the performances of the two groups in the beginning of the research a listening pretest of PET was administered in both experimental groups. In one group dynamic assessment, through teaching metacognitive strategies, was administered on learners' listening skills, while the other group's listening skill was assessed formatively. After fourteen sessions a posttest of PET was administered for both groups. The evaluation of the findings showed that the dynamically assessed group outperformed the formative one.
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Effect of thermophoresis, thermal radiation and heat generation on the Casson fluid flow over an exponentially stretching surface
Thermophoresis and radiative heat transfer on the unsteady boundary layer flow of a Casson fluid past an exponentially porous stretching sheet under the influence of a magnetic field in the presence of heat source/sink and chemical reaction is analysed. The governing partial differential equations of the flow are transformed into non-linear ordinary differential equations using similarity variables which are then solved numerically employing shooting technique along with Runge-Kutta iterative scheme. The graphical results reveal that the suction and magnetic field decelerate the velocity while the Casson parameter shows an opposite trend. The thermal boundary layer thickness is increased by the Casson parameter and heat source parameter. The rate of heat transfer is enhanced by thermal radiation parameter. The thermophoresis parameter along with Schmidt number is found to reduce the concentration predominantly.
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Effect of yogic practice and aerobic exercise on selected physical and physiological variables among overweight school boys
The objective of the study was to investigate the impact of yogic practice and aerobic exercise on selected Physical and physiological variables among overweight school boys. To achieve this purpose, forty five overweight school boys from various schools in Tiruchirappalli district were selected at random. Their age ranged between 14 and 17. The selected subjects were randomly divided into three equal groups of 15 each, namely yogic practice group (group A), Aerobic exercise (group B) and control group (group C). The experimental group had undergone yogic practices and aerobic exercise for 12 weeks, five days a week and daily one session only in the morning, duration of session one hour, whereas the control group (group C) maintained their daily routine activities and no special training was given. Physical variable namely flexibility and physiological variable breath holding time were chosen as variables for this study. The subjects of the three groups were tested using standardized tests and procedures on selected physical and physiological variables before and after the training period. The following test items namely sit and reach and breath holding time were used to collect relevant data. The collected data were analyzed statistically through analysis of Covariance (ANCOVA) to find out the pre and post training performances. To compare the significant difference between the adjusted final means and better group. The yogic practice and aerobics exercise showed significant improvement due to 12 weeks of training on flexibility and breath holding time compared to control group.
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Effect on productivity for introducing cotton seed meal to feed mixtures for broilers, and economic indicators
The research was carried out on (600) broiler chick hybrids (Hibrd), in the Technical Institute of Agricultural in Damascus, between 7/1/2010 and 24/2/2010. The birds were divided into 4 experimental groups, each group containing 150 birds, each of which included 3 replicates. Birds were fed in the 1st phase on fodder without cotton seeds, while in second and third phase: Birds in the 1st group (control) were fed on plant feed without cottonseeds, with the second group birds being fed on plant feed with 5% cottonseed meal in the second phase, and 10% in the third phase. Birds in the third group were fed on plant feed with 15% cottonseed meal in the second phase, and 20% in the third phase. Results obtained showed: The addition of cottonseed meal to a plant mixture used in feeding birds in second and third phase, up to 20% of the total mixture, would not affect the cumulative mortality rate. The best profitability was in the second group, which was fed on feed with 5 and 10% cottonseed meal, with about 0.1% compare to control group.
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Effects of attachment location on the neighborhood
attachment location(belonging to a place) ties to physical and social environments that support and focus on individuals tied and is accompanied by other psychological benefits. however , attachment location as a strong potential in the suburban areas, neighborhood in this way is declining and neglecting. Attachment location as a tool up to now has not been used and now, neighborhoods have been proposed for revitalizing .
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Effects of Fertilizer Types on Different Varieties of Egg Plant (Solanum Melonga) in Ogbomoso Agro Ecological Zone
Inappropriate fertilizer application usage is among the problems associated with eggplant production in Ogbomoso agro-ecological zone. Field experiment was conducted at the Teaching and Research Farm of Ladoke Akintola University of Technology, Ogbomoso to assess the effects of different fertilizers on the performance of five varieties of eggplant. The treatments consisted of five fertilizer types (No fertilizer, Inorganic fertilizer (NPK 100%), Organic fertilizer (100% compost), 50% compost + 50% NPK and 75% compost + 25% NPK) and five varieties of eggplant (Nacy, Ravenna, Nathelie, Reth and Orma). The fertilizer treatments were supplied at the equivalent rate of 60 kg N/ha. The experiment was a factorial experiment laid out in randomized complete block design. The five fertilizer types and five eggplant varieties translates to 25 treatment combinations, which was replicated three times. The agronomic and yield data collected were analyzed using the analysis of variance procedure while the treatment means were separated using the Duncan Multiple range test at 5% level of probability. It was observed that application of fertilizer improved the growth and yield attributes of eggplant when compared with where no fertilizer was applied. Combined application of 50% compost + 50% NPK and 75% compost and 25% NPK gave the highest fruit yields of 31.8 and 29.9 t/ha, respectively, which were not different significantly from each other. Ravenna variety produced the highest fruit yield (37.1t/ha). Planting of Ravenna variety with application of 50% NPK + 50% compost could be recommended for production of eggplant in the study area.
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Electronic and Structural Properties of ?-MgH2 Using GGA and GGA+U Approximation
In this paper, the electronic and the structural (lattice constant) properties of ?-MgH2 are calculated, using density functional theory. The Kohn-Sham equations were solved using the full potential-linearized augmented plane wave (FP-LAPW). Generalized Gradient Approximation (GGA) and GGA+U approximations are the exchange-correlation potential used in this study. It was found that adding Hubbard-U term to GGA improved calculated structural property, energy band structure results and are in better agreement with the experimental data.
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