Trust Model for Optimized Cloud Services

Cloud computing with its inherent advantages draws attention for business critical applications, but concurrently expects high level of trust in cloud service providers. Reputation-based trust is emerging as a good choice to model trust of cloud service providers based on available evidence. Many existing reputation based systems either ignore or give less importance to uncertainty linked with the evidence. In this paper, we propose an uncertainty model and define our approach to compute opinion for cloud service providers. Using subjective logic operators along with the computed opinion values, we propose mechanisms to calculate the reputation of cloud service providers. We evaluate and compare our proposed model with existing reputation models

Body movement activity recognition for ambulatory cardiac monitoring

Wearable electrocardiogram (W-ECG) recorders are increasingly in use by people suffering from cardiac abnormalities who also choose to lead an active lifestyle. The challenge presently is that the ECG signal is influenced by motion artifacts induced by body movement activity (BMA) of the wearer. The usual practice is to develop effective filtering algorithms which will eliminate artifacts. Instead, our goal is to detect the motion artifacts and classify the type of BMA from the ECG signal itself. We have recorded the ECG signals during specified BMAs, e.g., sitting still, walking, movements of arms and climbing stairs, etc. with a single-lead system. The collected ECG signal during BMA is presumed to be an additive mix of signals due to cardiac activities, motion artifacts and sensor noise. A particular class of BMA is characterized by applying eigen decomposition on the corresponding ECG data. The classification accuracies range from 70% to 98% for various class combinations of BMAs depending on their uniqueness based on this technique. The above classification is also useful for analysis of P and T waves in the presence of BMA

Impacts of leaf extract of Catharanthus roseus (L.) on seed mycoflora of soybean

Present research communication deals with study impact of Catharanthus roseus (L.) leaf extract on seed borne fungi of soybean seeds.&nbsp

NUMERICAL ANALYSIS OF A HEAT SINK WITH DIMPLES

In this paper, a numerical simulation is carried out to analyse the heat transfer performance of copper channel. COMSOLMULTIPHYSICS commercial software is used for the analysis. The material chosen for the channel is copper because of its good thermal properties. A channel with dimples on its base is chosen for the analysis. The heat transfer of the microchannel is found to increase with the use of dimples.Â

Control of fungi associated with green gram seeds by using Trichoderma species

In the recent years, the biological control has received a worldwide attention and is being integrated effectively with other pesticides. Moreover, in the context of environmental pollution the use of biological agents is considered quite safe. Three Trichoderma species viz. T. viride, T. harzionum and Trichoderma sp. (Local) were evaluated against Aspergillus niger, A. flavus, Alternaria tenuis, Fusarium oxysporium, Penicillium citrinum, Drechslera longirostrata and Fusarium solani. All the Trichoderma species were effective against above pathogens but Trichoderma (Local) proved to be superior for inhibition of the above pathogen as compared to other Trichoderma species