Agenda, Revised

Materials from the seminars. The agenda was revised to include online sessions due to the Covid-19 pandemic

Agenda

Abstracts for six Science and Engineering Saturday Seminars

Investigations on the Problem of Moisture Absorption13; by Kevlar Fibres

Kevlar fibres are know, to have affinity for moisture. We have investigated (i) the effect of relative humidity (RH) of ambient atmosphere and ( ii ) the effect of crystallinity of fibres on the process of moisture uptake.13; For RH values ranging fran 3 to 80% variation of moisture content of initially dry fibres with time has been measured. It is found that saturation moisture content varies with RH value. Specimens in which crystallinity has been reduced by apropriate treatmrent exhibit a marked increase in moisture content.Experiments on the effect of soaking the fibres in water at 26xB0;C and 98xB0;C have also been carried out. The site of ITOisture absorption has been studied using X-ray of dry Kevlar 49 fibres and those with clifferent levels13; of misture content. The results suggest that water molecules do not enter the unit cell

On the Performance of Multiple Antenna Cooperative Spectrum Sharing Protocol under Nakagami-m Fading

In a cooperative spectrum sharing (CSS) protocol, two wireless systems operate over the same frequency band albeit with different priorities. The secondary (or cognitive) system which has a lower priority, helps the higher priority primary system to achieve its target rate by acting as a relay and allocating a fraction of its power to forward the primary signal. The secondary system in return is benefited by transmitting its own data on primary system's spectrum. In this paper, we have analyzed the performance of multiple antenna cooperative spectrum sharing protocol under Nakagami-m Fading. Closed form expressions for outage probability have been obtained by varying the parameters m and Omega of the Nakagami-m fading channels. Apart from above, we have shown the impact of power allocation factor (alpha) and parameter m on the region of secondary spectrum access, conventionally defined as critical radius for the secondary system. A comparison between theoretical and simulated results is also presented to corroborate the theoretical results obtained in this paperComment: Accepted in the proceedings of IEEE PIMRC 2015 Hong Kong, Chin

School Management’s Perception of Corporate Social Responsibility (CSR): An Exploratory Study

Background: In recent years, the importance of school as a stake-holder in CSR activities is gaining recognition. Companies channel financial and human resources into developing schools. School Development and Monitoring Committee (SDMC) plays an important part in the management of Primary schools in Karnataka and as such should have a role in CSR activities. Purpose: This exploratory study attempted to answer the following questions- (1) How aware are SDMC members of CSR and its role in schools (2) what is their perception of CSR in their schools? (3) Do rural and urban SDMC members differ in their perception of CSR Methods: Sample consisted of SDMC members from 50 rural and 50 urban Government run primary schools in Bangalore Educational districts. 100 SDMC members, one from each school, were interviewed using a semi structured information schedule developed for this study. Results: Management is not very clear about the nature of CSR support . However, 75% of them perceive CSR as beneficial to their schools. Rural subjects have a more favourable perception of CSR impact and they differ significantly from urban counterparts in rating ‘ how CSR has benefited students’ (t = 2.052).Conclusions: SDMC members do not clearly distinguish between support provided under CSR and support received from other sources. Overall, CSR is seen as beneficial to school by supplementing government support and helping the management. Rural schools seem to benefit more from CSR support. Though SDMC is supposed to monitor the developmental activities of the school, they are not often consulted by companies about the requirements for the school. Involving SDMC in planning, executing and monitoring would enhance the efficacy of CSR programmes

Carbon Nanotube Gas Sensor Using Neural Networks

The need to identify the presence and quantify the concentrations of gases and vapors is ubiquitous in NASA missions and societal applications. Sensors for air quality monitoring in crew cabins and ISS have been actively under development (Ref. 1). In particular, measuring the concentration of CO2 and NH3 is important because high concentrations of these gases pose a risk to ISS crew health. Detection of fuel and oxidant leaks in crew vehicles is critical for ensuring mission safety. Accurate gas and vapor concentrations can be measured, but this typically requires bulky and expensive instrumentation. Recently, inexpensive sensors with low power demands have been fabricated for use on the International Space Station (ISS). Carbon Nanotube (CNT) based chemical sensors are one type of these sensors. CNT sensors meet the requirements for low cost and ease of fabrication for deployment on the ISS. However, converting the measured signal from the sensors to human readable indicators of atmospheric air quality and safety is challenging. This is because it is difficult to develop an analytical model that maps the CNT sensor output signal to gas concentration. Training a neural network on CNT sensor data to predict gas concentration is more effective than developing an analytic approach to calculate the concentration from the same data set. With this in mind a neural network was created to tackle this challenge of converting the measured signal into CO2 and NH3 concentration values