Electrical Conductivity of the Atmosphere over an Urban Location

The simultaneous measurements of atmospheric electrical conductivity and meteorological parameters during 2015 over an urban location were carried out, and their variations are presented. During fair weather days, the variations in air conductivity show a pronounced diurnal trend with early morning hour maxima and afternoon minima. A significant Pearson’s correlation coefficient was found between measured atmospheric electrical conductivity and most meteorological parameters; among them, the highest positive correlation of 0.79 was observed for relative humidity, and a negative correlation of 0.81, with wind speed. The trend in the variation of conductivity followed the activity of Radon over a day. The diurnally averaged monthly variations clearly show higher air conductivity values during winter months, and lowest, in monsoon months. A well-defined seasonal variation was observed, with the highest in winter and the lowest during the monsoon season. The results show that the correlation of air conductivity with meteorological parameters is strong and valid only when the atmosphere is stable, i.e., during the winter season. For 2015, the mean positive conductivity was 1.23 × 10−14 Ω−1 m−1, while the mean negative conductivity was 2.13 × 10−14 Ω−1 m−1, with a mean conductivity of 3.35 × 10−14 Ω−1 m−1 over Bengaluru. The measured air conductivity values are identical to those found in other similar conditions

Data in Doctoral Research in Social Sciences: A Case Study of Karnataka

Data are assuming new magnitude, since the concept of big data emerged. Data is a prominent component in social science research. The Social Science data are variable in nature from region to region. The nature of social sciences data was compared to ‘iceberg' by DEVSIS and its capture and management was given importance. A project was undertaken on Research Data Management in social sciences focusing on use of data in doctoral research. The study covers five premier universities of Karnataka has observed clear distinct features of data in the disciplines of social sciences. Researchers from Sociology, Economics, Commerce and Management disciplines use tables and figures heavily to present research data, whereas History, Geography use visual data. The uses of data are low in disciplines like History, Political science, Law and Women's studies. The amount of data generated by doctoral researchers has immense potential for re-packaging and reuse. It is essential to build a data repository platform to share and reuse research data and train researchers to compile and upload the data for future use

Optimization study for enhanced production of hyaluronic acid from Streptococcus equisimilus MK156140

Hyaluronic acid finds its complete application in areas such as therapeutics, cosmetics, and as a health supplement. In the present investigation, standardization for the production of hyaluronic acid by Streptococcus equisimilus MK156140 in complex media was performed. Some of the selected physicochemical parameters such as pH, temperature, speed, incubation time, sucrose, yeast extract, and beef extract were screened using Plackett-Burman foldover design. Further, the screened parameters interaction was investigated using central composite design (CCD) and closely compared with OVAT studies. At a pH of 7.38, with beef extract, 12.15%, and yeast extract 7.64%, the observed yield was 7.16 g/L, which was in close line with the predicted value of 7.21 g/L

Drcm: Dynamic Relationship Creation and Management in Social Internet of Things

As internet of things (IoT) is overpopulated with a multitude of objects, services and interactions locating the most relevant object is emerging as a major obstacle. Over the last few years, the social internet of things (SIoT) paradigm, where objects independently establish social relationships with the other things has become popular as it provides several new characteristics to carryout reliable discovery approaches. Given a large scale deployment of socially connected objects, finding the shortest path to reach the service provider remains as a fundamental challenge. Most of the existing techniques, search for a specific object or service utilising its friendship or friends of friends connections. As a result, each object has to manage a large set of friends, thus slowing down the search process. In this paper, we propose a similarity based object search mechanism that dynamically creates and manages relationships based on physical location proximity and social context of users in social communities. The result shows enhancement in the proposed method over the existing search techniques FSS, FSASV and LSFGA in terms of local cluster coefficients, the average degree of connections and average path length

An Efficient Routing Algorithm for Optimizing Energy Conservation and Improved Scalability in WSN

Wireless Sensor Network (WSN) is a familiar technique to develop various real-world applications through sensor nodes on wireless networks. Energy efficiency and scalability are the important challenges in WSN, along withsome other parameters such as reliability, availability, and security. The nodes’ path and communication network have been decided based on routing techniques among the network nodes. Classical routing algorithms have improved the efficiency and accuracy of WSN nodes, but it works only in the limited range. The number of nodes is increased in WSN, and security of data transmitted has a lot of limitations in routing. This problem has been considered for a long time, but the level of improvement is only within a short range, not for larger networks and high-volume nodes. This problem has been overcome by an efficient routing algorithm SEERA (Scalable Energy Efficient Routing Algorithm). Familiar routing protocol techniques such as LEACH (Low Energy Adaptive Clustering Hierarchy), Multi-LEACH, CELL-LEACH when compared with this algorithm shows that SEERA provides better security, energy efficiency and scalability. Also, the proposed algorithm uses hybrid MAC protocols along with the clusters communicated in Intra mode on the network. This research paper summarizes the results of SEERA withmore scalable nodes on WSN and also improved their energy efficiency among all nodes