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Data mining is a new discipline lying at the interface of statistics, database technology, pattern recognition, machine learning, and other areas. The amount of data being generated and stored is growing exponentially, due in large part to the continuing advances in computer technology. From the financial sector to telecommunications operations, companies increasingly rely on analysis of huge amounts of data to compete. A new generation of techniques and tools is emerging to intelligently assist humans in analysing mountains of data. New problems arise, partly as a consequence of the sheer size of the data sets involved, and partly because of issues of pattern matching. However, since statistics provides the intellectual glue underlying the effort, it is important for statisticians to become involved. Our goal here is to provide a brief overview of the key issues in knowledge discovery in an industrial context and outline representative applications.

The study focused on the design of an acoustic enclosure for 12.5 kVA diesel generator with an objective to minimize the noise level to a moderately loud sound level. Factors which affect noise reduction and heat management were considered. The study revealed that the loss in transmitted sound amounted to 20dB from the initial 95dB without an enclosure, with the insertion loss being 48.6%. The analysis of the transfer of the sound wave revealed that the frequency of the incident wave was lower than the critical frequency of the enclosure, this signifies that the enclosure will not resonate during operation. The heat generated within enclosure is 19280.806kW and this will cause the maximum temperature of the cylinder head to be exceeded. To avert this, acoustic holes where designed to allow a mass flow rate of 0.57kg/sec of air to pass through the enclosure, conducting the excess heat away.

Worms can be classified into various categories; one among them is active worms. These active worms pose a vital security threats to the internet especially in social networks. Defending against such active worms are not as easy as other types of worms. Active worms propagate in an automatic fashion such that it can infect as many as clients. In this paper we evaluate a special type of active worm, called muffle worm (M-worm in short). The m-worm is different from any other worms, for it goes undetected when the scan process encountered. The m-worm identifies the vulnerable clients in the social networks and infects the client. Once the client is infected, then the infected host scans for the other vulnerable clients and infects the client. We studied the comprehensive characteristics of the m-worm and provide the secure computing in the social networks. The scheme that we propose detects the m-worm from where it has been propagated and the current location of the worm. Once the origin of the m-worm is identified, the client that spread the m-worm can be disconnected from the social networks (Blocking). Thus the secure computing can be obviously provided in the networks. Still if the misbehaved client wishes to participate in the communicating network, which would be done by authenticating the corresponding client. The proposed scheme proves that it could provide secure computing in the social networks.

Thin layer chromatographic technique with silica gel – ethyl acetate adsorbent - solvent system has been validated for the determination of herbicides. Precision of the method determined in terms of reproducibility yielded relative standard deviation of 0.3 % and 0.5 % for the Rf of the herbicides and diameter of spots respectively. The minimum detectable quantity (MDQ) of the herbicides ranges from 0.20 – 0.50 ng. The method has been applied to determine the efficiencies of acetone, acetonitrile, methanol, hexane and acetone/hexane (4:1) for the recovery of the herbicides, atrazine, ametryne, propanil, diuron and nitrofen in a forest zone soil in Ghana. Acetone and acetonitrile were found to have approximately equal efficiency as extraction solvents. Extraction with acetone, acetonitrile, acetone/hexane (4:1) yielded more than 90% recovery for all the herbicides. The highest recovery efficiency of 96.2% was obtained for atrazine using acetone. Extraction with methanol and hexane gave relatively low recoveries particularly, with the clean up extracts. In all, the clean up procedure with SPE cartridge equipped with C-18 as adsorbent reduced recovery by 9 – 13 %.

Cloud computing can be observed as the transition of a long held dream called “Computing as utility”, into reality. This is a next generation platform that provides dynamic resources pods, virtualization, and high availability. The success of cloud lies in the terms “pay per use” and “multi tenancy”. But these two major advantages bring some disadvantage with them. The “pay per use” facility requires proper scheduling of tasks for proper utilization of the cloud. And the “multi tenancy” brings some major security threats as all the different organizations use the same physical infrastructure. Many researchers have concentrated in both the fields. In this paper authors have studied various security solutions, scheduling algorithms and their issues related to cloud computing.

We are very happy to announce that from 17th November 2018, Dr. B. Hari Prasad has joined the team of Elixir Editorial Advisory Board. He/She will carry a special responsibility for dealing with manuscripts based on Mathematics. Dr. B. Hari Prasad is working as Assistant Professor, Dept. of Mathematics, Chaitanya Degree College(Autonomous), Hanamkonda, Telangana State, India. The appointment of Dr. B. Hari Prasad as member, Editorial Advisory Board strengthens the links and will make it easier for prospective authors to establish contact with the journal.

We are very happy to announce that from 22nd March 2019, Dr. Sandeep Rout has joined the team of Elixir Editorial Advisory Board. He/She will carry a special responsibility for dealing with manuscripts based on Environment and Forestry. Dr. Sandeep Rout is working as Assistant Professor in Forestry, Faculty of Agriculture, Centurion University of Technology and Management (CUTM), Gajapati, Odisha. The appointment of Dr. Sandeep Rout as member Editorial Advisory Board strengthens the links and will make it easier for prospective authors to establish contact with the journal.

We are very happy to announce that from 21st February 2011, Dr.Eze Vincent has joined the team of Elixir Editorial Advisory Board. He will carry a special responsibility for dealing with manuscripts based on the Microbiology. Dr.Eze Vincent is currently working Department of Microbiology, Michael Okpara University of Agriculture, Umudike, P.M.B.7267, Umuahia, Abia State, Nigeria. The appointment of Dr.Eze Vincent as member Editorial Advisory Board strengthens the links with Iran and will make it easier for prospective authors to establish contact with the journal. Please send any expressions of interest to chiefeditor@elixirjournal.org. Sincerely Editor-in-Chief

The study was under taken to find out the effect of different organic manure on the yield and carbon sequestration potential of fodder cowpea. Result revealed that green fodder yield were significantly (P<0.01) higher in improved farmyard manure, vermicompost and enriched farmyard manure application. Similarly carbon sequestration potential was significantly higher in improved followed by vermicompost and enriched 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.

Satisfaction as one of the most important principles of public participation in rural development is considered, this research was done for study the Effect of Social and economic impact in improving of rural administrators performance for rural residents satisfaction. in this study bases Social of individuals in three dimensions, age, education and social stratification, and economic base in two dimensions, revenue and jobs in improving the performance of rural administrators for rural residents satisfaction were examined. Research methodology was based on descriptive -Analytical methods and parametric tests, analysis of variance (ANOVA), Means Plots and Independent simplest test by use SPSS software. Questionnaire measuring tool for collection the data from 267 households sample from 11 villages was used, which samples were selected by using of Cochran formula through simple random sampling method. The findings showed that between total Social base factors (age, education and social stratification); four rural administrators in 40-30 years age of rural administrators group, and with 3.20 average, two rural administrators with bachelor's degree and 3.32 average and seven rural administrators in upper stratum of society with 2.95 average and economic base in earnings dimension according to Leuven test (because Fisher’s significance level was lower than 0.05), in dimension of job, except administrators, the most additive effect was related to performance of administrators; according to significant level (more than 5%) performance of rural administrators had a decreasing effect in performing their duties to the satisfaction of rural residents and finally in analysis of general performance of rural administrators bases on rural resident’s view according to Anova test, Bagher Abad-e- Olia, Tang-e- Shohan-e- Olia and Siahkhor villages had a best performance with 3.45, 3.18 and 3.02 average respectively, and in lower ranking, Anjyrak and Gorgi villages had a lower performance between villages of Hassan Abad rural zone for satisfaction of rural residents with 2.7 and 2.47 means respectively.