Today, that business has different rules and regulation and supplied threats; organizations must go well beyond securing their data, and managing their database. Essentially, Data have to be perpetually monitored to be aware of who what, to all their data. Database auditing involves monitoring database to be aware of what user of proceedings. In this article we will offer a novel procedure for finding auditing records from different locations that DBMS keeps records, further more we will discuss which user, or system activity to keep records to do auditing efficiently and also avoid over use of system resources which will caused on slow transaction time.

To develop the secure software is one of the major concerns in the software industry. To make the easier task of finding and fixing the security flaws, software developers should integrate the security at all stages of Software Development Life Cycle (SDLC).In this paper, based on Neuro- Fuzzy approach software Risk Prediction tool is created. Firstly Fuzzy Inference system is created and then Neural Network based three different training algorithms: BR (Bayesian Regulation), BP (Back propagation) and LM (Levenberg-Marquardt) are used to train the neural network. From the results it is conclude that for the Software Risk Estimation, BR (Bayesian Regulation) performs better and also achieves the greater accuracy than other algorithms.

In recent years, the contemporary data mining community has developed a plethora of algorithms and methods used for different tasks in knowledge discovery within large databases. Furthermore, algorithms become more complex and hybrid as algorithms combining several approaches are suggested, the task of implementing such algorithms from scratch becomes increasingly time consuming. Spatial data sets often contain large amounts of data arranged in multiple layers. These data may contain errors and may not be collected at a common set of coordinates. Therefore, various data pre-processing steps are often necessary to prepare data for further usage. It is important to understand the quality and characteristics of the chosen data. Careful selection, preprocessing, and transformation of the data are needed to ensure meaningful analysis and results.

Our study is related to the concept of employee retention which is heavily dependent on job training. Job training is one of the most important factors in retaining employees in the organizations. Our major focus is on the key variables: training, types of training and duration of training. Intervening variables are rewards and supervisory support to the employees. This research is conducted on a sample scale of 100 from Telenor, Telecommunication sector. The survey showed the result on job training and employee retention. It was a gender wise collection with the further distribution and comparison with the key variables and intervening variables. According to the findings of research, female and male employees have their interest in participating in training. Rewards and supervisory support is found to be the demand of employees irrespective of female or male.

The unsteady Couette flow with transpiration of a viscous fluid in a rotating system has been considered. An exact solution of the governing equations has been obtained by using Laplace Transform Technique. Solutions for velocity distributions and the shear stresses have been obtained for small time 𝝉= 𝟎. 𝟎𝟓 as well as large time 𝝉= 𝟏𝟎. 𝟎. it is found that for small times the primary velocity profile increases with decrease in 𝑲𝟐 with constant 𝑹𝒆 while the secondary velocity profile decreases with decrease in 𝑲𝟐. It is also found that for large times, the primary flow increases with increase in 𝑲𝟐, the secondary velocity behaves in an oscillatory manner near the moving plate and increases near the stationary plate. There exists a back flow in the region𝟎. 𝟎 ≪ 𝝋 ≪ 𝟏. 𝟎. The shear stress due to primary flow decreases with increase in 𝑲𝟐. On the other hand, it increases due to secondary flow with increase in rotation parameter with constant 𝑹𝒆 for small times. It is also observed that the shear stress for large time with constant 𝑹𝒆 shows layers of separation in both primary and secondary flow due to high rotation

Cloud computing is a market-oriented computing paradigm with virtually unlimited scalable high performance computing resources. The High level middleware services for cloud computing and cloud workflow systems are research frontier for both cloud computing and workflow technologies. In this paper, the extension of Cloud management infrastructure with Service Level Agreement (SLA) aware application and motivating scenario for the development of the scheduling heuristic after which, the detail design and implementation of the heuristic are mentioned.

In this paper, analysis the speed of sending message in Healthcare standard 7 with the use of back propagation in neural network. Various algorithms are define in backpropagtion in neural network we can use trainlm algorithm for sending message purpose. This algorithm appears to be fastest method for training moderate sized feedforward neural network. It has a very efficient matlab implementation. The need of trainlm algorithm are used for analysis, increase the speed of sending message faster and accurately and more efficiently. The proposed work is used in healthcare medical data. With the use of backpropagation in health care standard seven (HL7) sending message between two systems. To increase the speed of the healthcare sending data we can use Train LM algorithm. Train LM algorithm is more fastest algorithm it can be increase efficiency and improve accuracy of the system and also provide real time application. To increase speed of sending message these algorithm used. With the use of this algorithm it can be decreasing time of sending message to the other system.

This study examined the role of marketing of transport services in the realization of a millennium development goal; poverty alleviation. KEKE-NAPEP initiative was one of the poverty eradication programmes in Lagos state, Nigeria. The study examined the significance of the relationship between the initiative and (1) poverty level (2) standard of living and (3) level of unemployment. The study employed survey research and purposive sampling technique was used to identify users of KEKE-NAPEP in Lagos State. The findings of the study revealed that although the initiative improves the standard of living of people and has negative relationship with level of unemployment, the initiative is not significantly related with the poverty level of the people of Lagos state. Based on these findings, conclusion was drawn and relevant recommendations were made. If the initiative must be successful in reducing the poverty, it is recommended that marketing techniques and strategies be employed and engaged.

Hard facing by welding techniques are used mainly to improve the service life of machine parts either by rebuilding or by fabricating in such a way as to produce a metallic/alloy wall section to withstand the problems of wear, erosion, corrosion, etc. An attempt has been made in this paper, to determine a better welding process to weld hard face AISI 1020 steel based on wear analysis. In the present paper three different welding processes are compared. Based on the study, the specimens prepared using TIG welding process yielded better wear properties compared to the specimens prepared using Gas welding and Arc welding processes until certain sliding velocities. The Gas welding and Arc welding processes yielded better wear properties for still higher range of sliding velocities. The factors contributing to achieve the said results were interpreted.

This study examined kitchen resource, reasoning ability level, academic performance and retention of SS2 Chemistry students in Thermo-chemistry. Thermochemical activities in the kitchen such as, fermentation of samples of five different juices (mango, orange, pineapple, grape and paw-paw), heating capacities of five samples of wood (mango, orange, guava, almond and rubber), induced thermal decomposition of five samples of shellfish shells powder (mangrove snail shell, fresh water periwinkle shell, freshwater snail shell, clam shell and mangrove periwinkle shell) and dissolution of five samples of glucose (2g, 4g 6g, 8g and 10g) were used for the study. The sample comprised 240 drawn from four secondary schools in Calabar Education Zone of Cross River State of Nigeria. Quasi experimental factorial research design was used for this study. Chemistry Achievement Test (Cat), Chemistry Retention Test (Cat), and Reasoning Ability Test (Rat) were used for data collection. Analysis of covariance (ANCOVA) was used in the analysis of data. From the findings, the use of kitchen resources enhanced the performance and retention level of high and low reasoning ability level of students exposed to kitchen resources during the teaching of Thermochemistry. It was recommended that teachers should be encouraged to adopt kitchen resources in science teaching.