Knowledge of Precision Farming Beneficiaries

Precision Farming is one of the many advanced farming practices that make production more efficient by better resource management and reducing wastage. TN-IAMWARM is a world bank funded project aims to improve the farm productivity and income through better water management. The present study was carried out in Kambainallur sub basin of Dharmapuri district with 120 TN-IAMWARM beneficiaries as respondents. The result indicated that more than three fourth (76.67 %) of the respondents had high level of knowledge on precision farming technologies which was made possible by the implementation of TN-IAMWARM project. The study further revealed that educational status, occupational status and exposure to agricultural messages had a positive and significant contribution to the knowledge level of the respondents at 0.01 level of probability whereas experience in precision farming and social participation had a positive and significant contribution at 0.05 level of probability

Dhandapani Swami’s Aruvagai Ilakkanam – Edition History

More detailed studies of the history of the Tamil text editions are being carried out with the help of micro data. Thus, edition history is no longer a personal history. Because the history of the edition is not without consideration of the dynamics of the social movement as a whole of the European priests, monasteries, institutions and individuals who operated in the sphere of history. Thus article discusses the edition history of the text called Aruvagai Ilakkanam

Sencar Based Load Balanced Clustering With Mobile Data Gathering In Wireless Sensor Networks

The wireless sensor networks consist of static sensors, which can be deployed in a wide environment for monitoring applications. While transmitting the data from source to static sink, the amount of energy consumption of the sensor node is high. This results in reduced lifetime of the network. Some of the WSN architectures have been proposed based on Mobile Elements such as three-layer framework is for mobile data collection, which includes the sensor layer, cluster head layer, and mobile collector layer (called SenCar layer). This framework employs distributed load balanced clustering and dual data uploading, it is referred to as LBC-DDU.In the sensor layer a distributed load balanced clustering algorithm is used for sensors to self-organize themselves into clusters. The cluster head layer use inter-cluster transmission range it is carefully chosen to guarantee the connectivity among the clusters. Multiple cluster heads within a cluster cooperate with each other to perform energy-saving in the inter-cluster communications. Through this transmissions cluster head information is send to the SenCar for its moving trajectory planning.This is done by utilizing multi-user multiple-input and multiple-output (MU-MIMO) technique. Then the results show each cluster has at most two cluster heads. LBC-DDU achieves higher energy saving per node and energy saving on cluster heads comparing with data collection through multi-hop relay to the static data sinks

ANN Modeling and GA Optimization of Zinc Removal from Wash water by Electro-coagulation Process

The present research concentrates on Artificial Neural Network (ANN) for modeling and Genetic Algorithm (GA) for optimization of zinc removal from the industrial wash water by EC process. In the EC process, the most important control independent variables are Initial Concentration (Ic � 216.5 to 866mg/L), Current Density (Cd � 0.1 to 0.6A/dm�) and Time (T � 2 to 15mins). These variables are also affecting the performance of zinc removal. ANN model was able to predict the maximum removal of zinc with two transfer functions like tan sigmoid at hidden layer with 8 neurons, purelin at output layer. Feed forward multilayered perception with Levenberg - Marquardt back propagation training algorithm was used for train the design with Mean Squared Error (MSE) of 1.18 and Correlation Coefficient (R2) of 0.9909 in ANN shows that the model was capable to predict the zinc removal. Single Objective Optimization for maximizing the zinc removal was conducted using GA over the ANN model. Using pattern search method in a GA, the best optimum conditions are recorded as 217.5 mg/L, 0.1A/dm� and 2mins for Ic, Cd and T respectively and the maximum zinc removal at the above condition as 88.71%

A study on fuzzy connectedness and fuzzy continuity in fuzyy topological spaces

Fuzzy connectedness and fuzzy continuity are important concepts in the field of fuzzy mathematics, and have been studied in various types of fuzzy spaces. In this review paper, we have explored several recent research articles that investigate these concepts in different types of fuzzy spaces, including intuitionistic fuzzy topological spaces, quasi-metric spaces, generalized metric spaces, generalized fuzzy topological spaces, intuitionistic fuzzy soft metric spaces, fuzzy normed linear spaces, fuzzy quasi-metric spaces, fuzzy metric spaces, and b-metric spaces. The methodology and results of each study vary based on the type of fuzzy space under consideration, but all papers aim to provide a better understanding of the properties and behavior of fuzzy connectedness and fuzzy continuity. Common theme across these articles includes the use of various types of fuzzy functions, fuzzy sets, and the extension of classical concepts to fuzzy spaces. This review paper provides a comprehensive overview of the recent advances in the study of fuzzy connectedness and fuzzy continuity, highlighting similarities and differences among the various types of fuzzy spaces and suggesting directions for future research

Secure Data Sharing in Cloud Computing using Revocable Storage Identity- Based Encryption

Nowadays regularly use cloud services in our daily life.There are various services provided by cloud such as a service, Platform as a service, and Infrastructure asa service. The used to keep our data,documents, and files on cloud. The data that store may be Personal, Private, secret data. So must be very sure that whatever the cloud service we use that must be secure. Cloud computing Provides number of services to client over internet. Storage service isone ofthe important services that people used now days for storing data on network so that they can access their data from anywhere and anytime. With the benefit of storage service there is an issue of security. To overcome security problem the proposed system contain two levels of security and to reduce the unwanted storage space de-duplication[1,2] technique is involved. To increase the level of security one technique is a session password.Session passwords can be used only once and every time a new password is generated.To protect the confidentiality of sensitive data while supporting de-duplication[1,2]the convergent encryption technique has been proposed to encrypt the data before outsourcing,Symmetrickey algorithm uses same key for both encryption and decryption.In this paper,I will focus on session based authentication for both encryptions for files and duplication check for reduce space of storage on cloud

Institutional support for tribal farmer interest groups in Erode district of Tamil Nadu, India

Globally small and marginal tribal farmers situation is worse because of poor marketing system and lack of quality input and technical services. This worse situation can be empowered through group approach like Farmer Producer Organization (FPO), Farmers Interest Group (FIG) and Self Help Group (SHG). FIG is a self-managed, independent group of farmers with a shared goal and interest. This is usually formed by 15-20 members. It is evidenced that the profitability in farming would be possible in groups rather than practising it individually. This is particularly the case where farmers organize themselves to respond to credit and input needs, marketing concerns, etc., as there are clear economic benefits of working in groups. The present study is aimed to investigate the level of institutional support for tribal Farmer Interest Groups (FIGs) in Erode district. A cent per cent of the respondents (100.00%) admitted that they received support for getting information regarding input availability, subsidiary activities, various schemes of the state department of agriculture. The vast majority of the respondents received information on technical support on production aspects of crop production (98.00%) and received credit support whenever needed (98.00%). Institutions like NGOs, State Department of Agriculture played a major role in improving the standard of living of these tribal people. They received support from the institution from production to marketing and value addition. However,  they did not get proper guidance for soil testing and quality testing of inputs. Because of remoteness, they received a medium level of institutional support

A Novel Technique to Pre-Process Web Log Data Using SQL Server Management Studio

Web log data available at server side helps in identifying user access pattern. Analysis of Web log data poses challenges as it consists of plentiful information of a Web page. Log file contains information about User name, IP address, Access Request, Number of Bytes Transferred, Result Status, Uniform Resource Locator (URL), User Agent and Time stamp. Analysing the log file gives clear idea about the user. Data Pre-Processing is an important step in mining process. Web log data contains irrelevant data so it has to be Pre-Processed. If the collected Web log data is Pre-Processed, then it becomes easy to find the desire information about visitors and also retrieve other information from Web log data. This paper proposes a novel technique to Pre-Process the Web log data and given detailed discussion about the content of Web log data. Each Uniform Resource Locator (URL) in the Web log data is parsed into tokens based on the Web structure and then it is implemented using SQL server management studio

Trimethyl­ammonium 2,6-dioxo-5-(2,4,6-trinitro­phen­yl)-1,2,3,6-tetra­hydro­pyrimidin-4-olate

In the title barbiturate salt (trivial name: trimethyl­ammonium 2,4,6-trinitro­phenyl­barbiturate), C3H10N+·C10H4N5O9 −, the asymmetric unit contains two sets of anion–cation moieties. The dihedral angle between the rings in the anions are 44.0 (3) and 45.7 (3)°. Adjacent anions are connected into ribbons along [100] through R 2 2(8) ring motifs formed by N—H⋯O hydrogen bonds involving the barbiturate rings. Attached to both sides of these ribbons via N—H⋯O hydrogen bonds are the trimethyl­ammonium cations. C—H⋯O hydrogen bonds are also observed