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Incorrect classification of risks or Policyholders can lead to the wrong choice for insurer, and in individual accident insurance, analyzing risk and determining premiums are based on the individual jobs in a job class. Therefore, the risk of the false classification of risks and Policyholders can lead to significant financial losses for insurance companies or policyholders. So in order to recognize and optimize the classification of job`s risk and thus determine a reasonable price for the policy insurance, the frequency and severity of losses can be considered as determining variables. In this study the collected data from Dana Insurance Company database, were entered in the SOM neural network in the form of three variables to assess the occupational risk. After reaching the overview of clustering resulted from SOM, and determining the optimal number of clusters based on Silhouette index, the separation of final clusters using different algorithms, K-Means and TwoStep, was done. Finally, the precise rules found for describing the outputs of the algorithms based on C5.0 algorithm with accuracy of 100%. Due to the overlapping clusters, there was no possibility of allocating jobs to different occupational classes. There is also another notable result and that is the significant negative correlation between the two factors, the current risk level and the damage ratio (the ratio of claims paid to premiums received)

Cloud computing is ready to transform the structure of businesses. There will be abundance of service suppliers, as well as international players like Google, and Amazon who can roll out their Indian plans. With the concept of ‘Digital India’, it will provide an important push to enterprises to switch to the cloud computing. For India, it is an immediate helpful impact for small to medium sized businesses (SMBs) across the country. This paper explains regarding the opportunities and future of cloud computing in India and the way businesses will get changed with developed infrastructure and how get benefited from it.

Rice is an important crop that plays a vital role in diets and economy of farmers in Katsina-Ala in northcentral Nigeria. In this study, Fuzzy set theory, parametric and limitation models were applied to determine the suitability of Katsina-Ala flood plains for rice production. Soils of two pedons were analyzed and the characteristics used as inputs in the model application. The result showed variability of suitability of the land qualities. Climate, soil depth and flood duration were highly suitable (S1= 95). Texture was moderate (S2). Soil pH and available P ratings showed currently not suitable (N1=20) for both pedons. Soil organic carbon was moderately suitable (S2) but most critical in the normalized pairwise comparison matrix. Salinity (EC) and CEC suitability was moderately suitable (S2). Parametric and non-parametric aggregate suitability showed moderate suitability (S2=63.8) for current index with fertility limitations (S2f). The potential index was high suitability (S2) for both pedons. Fuzzy regression between land index and observed rice yield was high (R2 = 0.90). The use of the three models could serve as spatially based decision-making parameters in agricultural land use planning but fuzzy method was recommended based on its relative advantage to other predictors.

Document segmentation is a method of rending the document into distinct regions. A document is an assortment of information and a standard mode of conveying information to others. Pursuance of data from documents involves ton of human effort, time intense and might severely prohibit the usage of data systems. So, automatic information pursuance from the document has become a big issue. It is been shown that document segmentation will facilitate to beat such problems. This paper proposes a new approach to segment and classify the document regions as text, image, drawings and table. Document image is divided into blocks using Run length smearing rule and features are extracted from every blocks. Discipulus tool has been used to construct the Genetic programming based classifier model and located 97.5% classification accuracy.

Field study of Basaanga and Fugar Sandstone was embarked upon in order to determine lithostratigraphy profile, their relationship and laboratory studies including granulometric, heavy mineral, and petrographic analysis. The research studies were aimed towards understudying stratigraphic stacking pattern, textural parameters such as grain size, sorting, transportation history, paleoenvironment of deposition and provenance. The Bassanga Sandstone revealed angular grained basal conglomerate deposited on basement rock by flash flood (fluvial) processes deposited close to the source; overlain by fining-upward sequence in cyclic manner with azimuth of ~2500 paleocurrent direction. Laboratory data deductions show that the average grain size (-0.05 to 2.67 ?) vary from fine to coarse; sorting (0.18 to 0.86) varies from moderately sorted through moderately well sorted to very well sorted; skewness (0.16 to 4.15) varies from fine to strongly fine skewed. ZTR index (10.0 to 43.2%) from heavy mineral study suggests submature to matured sediment while thin section analysis shows texturally and compositionally mature to sub-mature sublitharenite tending strongly to quartzarenitic rock. The Bassanga sediments were transported by southwest paleocurrent and deposited in fluvial setting. However, Fugar Sandstone is fine grained (2.14-2.98?), herringbone structured, fairly bioturbated unit deposited in marginal marine environment; very well sorted (0.18 to 0.28), and strongly fine skewed (2.78-4.5). ZTR index varies from 35.9-50.0% suggestive of mineralogically immature sediments sourced from metamorphic rock (NW) and deposited by paleocurrent in southeasterly direction.

2-methoxy-1-naphthaldehyde (2MN) an intriguing new organic material for frequency conversion has been grown by slow evaporation solution growth technique at room temperature. Their structural, optical and physicochemical properties were characterized by X-ray powder diffraction, FTIR and UV-Vis spectra. The crystal belongs to monoclinic system with point group m and space group Cs. The material has a wide transparency in the entire visible region. It is found that the cutoff wavelength lies in the UV region. The mechanical response of the crystal has been studied using Vickers microhardness technique. The SHG relative efficiency of 2MN crystal was found to be 12 times higher than that of KDP and 1.6 times higher than that of Urea.

The harmonic mean labeling is a variation of arithmetic mean labeling. We investigate harmonic mean labeling for various graphs resulted from the duplication of graph elements.

This paper reports the conceptual of innovation in creative technology in aspect of academic and creative economy. Creative industries have become the government's main agenda in achieving the vision 2020. The establishment of National Creative Industry Policy is proof that the government is serious in their efforts to uplift the creative industry to a higher level. Therefore, to ensure the government has met their mission, the education system must play their role to support the goal.

Reading is a method of learning as well as self-teaching that is a basic necessity for the education and training of a nurse. Reading in most instances is enhanced by awareness of its importance, and knowledge of the techniques involved in. In the absence of these two, a student nurse may be incapacitated in the art of remembering and memory recall. Reading as a learning method was investigated among student nurses following the decline in remembering basic facts during oral examinations. This was more common with facts that had been studied earlier on in the education and training programme. Based on this, the study looked at three objectives: to outline some demographic parameters of the student nurses; investigate the importance and reasons for reading; and to assess students’ knowledge on the reading techniques. It is hoped that the results on the importance, reasons and knowledge of reading techniques can motivate other student nurses.

This study is an attempt to investigate the ways to reduce the internal organizational conflicts of the educational sets of Borazjan city. The methodology of this study is a descriptive-survey method. The study included all administrators and teachers training centers of Borazjan city who are 420 people. In this study, a systematic random sampling method (regular) has been used. The required data were collected using OCCI questionnaire and their reliability are 0/80, 0/75and 0/70and 0/73and 0/84 that they were confirmed. The obtained data were analyzed using descriptive statistics such as a one or two-dimensional table of frequency distribution, percentage, mean, standard deviation and inferential statistics such as comparing the means by independent t-test. The result of this study has shown that the difference between the mean of internal organizational conflicts of principals and teachers in educational sets of Borazjan city is significant . Based on this study and previous studies, can be concluded that one of the most important ways to reduce internal organizational conflicts of educational sets is using an appropriate management styles in dealing with internal organizational conflicts and also it is not recommended to just use a particular management style to reduce the level of internal organizational conflicts.