Archives-August 2016

The Study is mainly done to find out the relative effectiveness of celebrity endorsed advertisement, non-celebrity endorsed advertisement and advertisement with no endorsement in influencing the purchase intention of consumers. Further, the Study is done for the Same Product and for the low involvement Product especially personal care product. Given the purpose of the study, the descriptive research technique is used. In the Study, low-involvement non-food Product Category is considered and three type of endorsed advertisements (Celebrity, Non-Celebrity and No Endorsement) are used and the study is done on 200 Consumers. Three Print advertisements are used as stimuli. The study suggest that for low-involvement personal care product category especially in case of Print media, advertisements endorsed by Celebrity has more favourable/positive impact in influencing the Purchase intention of consumers as compared to advertisements with non-celebrity endorsement and advertisements with no endorsement at all. A major implication from the findings for the managers or advertising agencies is that the impact of advertisement has more favourable impact on consumers’ purchase intention when it is endorsed by celebrity especially for Print media.The contribution of the study is in addressing an area that has not been very well researched yet, and in addressing a research question that has not been investigated properly.

Using a combine implement for open furrows , seeds planting and fertilization is very important implement to conduct more than one process or operation in one field pass at the same time where the combine equipment open suitable furrow to grow any crop and also considered as special tillage implement. The combine implements save time, cost and potential, and decrease traffics and, labors and improve soil physicals properties and plant yields. The experiment was conducted to evaluate the effect of deferent furrow depths and speeds of machinery unit using a locally assembled combine equipment on planting maize. The tractor which was used in this study is New Holland TD80. Two machinery speeds included 7.44 and 9.53 km?hr which represent main plot and two Furrow depths included 5-15 and 15-25 cm which represent sub plot were used in this study. Field efficiency, Leaf area, 300 seed weight, and maize yield were measured in this experiment. Split plot design under Randomized Complete block design with three replication was used in this stud . Least significant differences (L.S.D) under 0.05 level was used to compare the mean of treatment. The results can be summarized as Fallow; 9.53 km ? hr speed gave lower Field efficiency stood (63.45)% and higher maize yield stood (9.65) t ?h . 5 - 15 cm furrow depth gave higher Field efficiency stood (66.69)% and greater Leaf area stood (0.53) m2 while 15-25 cm furrow depth gave higher maize yield stood (5.53) t ?h. The interaction between the speed and furrow depth, has impacted significantly on all plant properties except 300 seed weight. Using the locally assembling combine implement for planting corn, fertilizing and open furrows is successfully done.

This paper emphasize on how parallelism can be applied in Data Analysis. In recent decades, where the large amount of data is produced by machines: software logs, cameras, microphones, RFIDs, etc. Creation speed rate of these data will increase exponentially with Moore’s Law. Saving or storing such amount of data is inexpensive and using some parallel processing methods, the data can also be investigated and mined effectively. So this article intends to debate about parallel programming procedures used in Data Analysis and Data Mining. The key motive for this parallelism is to make analysis more rapidly. This is generally attained by using multiple processors or multiple computers, execution dissimilar aspects of data analysis or mining, performing the tasks alongside and later consolidating the data into a single report.

The diversity of knowledge on the web has made determining communication patterns in the database and knowledge discovery among this mass of information an attractive target. The first step to achieve this goal is to classify web pages. The current machine learning techniques to classify content are initially discussed by flat and simple text documents and do not use structures such as links and headers discussed in the web optimally. Data mining is a set of techniques that allows a person to move beyond conventional data processing and help mining the information hidden in a massive volume of data. Today, in most organizations, data are collected and stored rapidly. However, using these data is not simple and they cannot be used as a single unit of the volume of data, so techniques they can be applied properly using a combination of statistics and computer science and the use of machine learning. However, in order to achieve a meaningful result of Web mining we need to have good data on our website, so effective management of Web data is crucial in web mining. The ultimate goal of this descriptive paper is that the organizations and small businesses could use data mining in their decisions and e-commerce as a future big business would enter into new future areas. There is a wide range of users considered for this technology, including for example research centers, companies operating in the field of web and database, analysts and managers of organizations, business, Web (search engines) and …

The problem of Multiple Sequence Alignment (MSA) is one of the most significant problems in bio-informatics world. Solving this problem helps to reconstruct the phylogenetic tree, predict protein structure and its function. Several algorithms are proposed to solve this problem. Genetic algorithm is one of them which has been proposed in different versions to solve the MSA problem. In this article we provide a specific type of genetic algorithm to solve the MSA problem and we will explain it in detail. Once the problem is described, it will also be explained how to formulate the problem and how to define crossover and mutation operators. Finally, using the BALiBASE 3.0 database the performance of the algorithm is evaluated and the results are reported.

This paper presented a study of four algorithms, the equalization algorithm to equalize the transmission channel with ZF and MMSE criteria, application of channel Bran A, and adaptive filtering algorithms LMS, NMLS and RLS to estimate the parameters of the equalizer filter, i.e. move to the channel estimation and therefore reflect the temporal variations of the channel, and reduce the error in the transmitted signal. So far the performance of the algorithm equalizer with ZF and MMSE criteria both in the case without noise, a comparison of performance of the LMS, NLMS and RLS algorithm.

In this paper, Bayesian estimators of the population proportion of a sensitive attribute were developed when real life data were gathered through the administration of survey questionnaires on an induced abortion on 300 matured women in some selected hospitals in the metropolis. Using both the Kumaraswamy (KUMA) and the Generalised (GLS) beta distributions as alternative beta priors, efficiency of the proposed Bayesian estimators was established for a wide interval of the values of the population proportion. We observed that for small, medium as well as large sample sizes, the proposed Bayesian estimators were better than the conventional Bayesian estimator proposed by Hussain and Shabbir [10] when a simple beta prior was used.

This paper is about designing a 15 tap 8-bit FIR filter using Direct form II. Serial Architecture is used for Multiplication and Accumulation. Entire Design is created in structural manner using verilog models from fsa0m a library. Delay balancing technique is used for reducing glitches in Multiplier.

Consumer behavior analysis is based on consumer’s buying behavior. It aims at improving business performance through an understanding of the customer’s preferences and desires. In today’s world of growing competition where there are numerous brands selling the same products, consumers have an abundant number of choices and many diverse factors influence their buying behavior. The purpose of present paper is to compare and analyze the behavior of Dairy products consumers in Kermanshah and Kurdistan which addresses to the relationship between the aspects of consumers' behavior, demographical variables and their importance in each studied city. 92 individuals in Kermanshah and 102 individuals in Kurdistan were randomly sampled and accepted to answer. By measuring each index by determining variables which could measure them, we studied and compared both communities by using Kolmogorov – Smironov as well as Cramers V and Freedman tests. Research findings show that mental and personal factors in Kurdistan have more impacts on the behavior of processed meats than Kermanshah so that there is a significant difference between such factors in studied cities. In the meantime, it became clear that the importance degree of each behavioral aspect of consumers in Kurdistan and Kermanshah is somehow in harmony: 1. Personal factors, 2. Mental and hidden stimulant factors, 3. Social factors.

With increasing development companies around the world, our country Iran is not an exception and keep pace with this development according to the conditions prevailing in different fields expanded, The telecommunications compliance with Article 44 of the constitution And move towards privatization of the state monopoly in the This leads to emerging operators with strong potential for the days that involved the complex challenge This development has lagged behind and competitive with others in order to survive in the market are at an acceptable level of service to its customer’s In this regard, in addition to rely on the equipment and infrastructure facilities need a strong financial system for the preparation of financial information for users outside the organization Such as the tax country or shareholders and a strong financial system for the management of the company are domestic users For the analysis of financial data to make better decisions than the development or production of certain outdated act according to its earnings In addition to pricing and decisions regarding the production and sale to a financial system warning that the value of finished goods is needed Because the value of finished products in different times and conditions may differ In this regard, due to the lack of Production system cost in telecommunications company we decided to design cost model is based on the financial coding system that includes all Specific, detailed and coding functions to achieve cost in different areas of the province, So in various parts of the cost of the product to be obtained separately.