Banki College

The integration of edge computing with advanced machine learning models was transforming the landscape of IOT applications, driving significant advancements in real-time data processing and decision-making. This book chapter delves into the critical aspects of this integration, focusing on the optimization of machine learning models for edge environments, the development of edge-specific model architectures, and strategies for enhancing energy efficiency and reducing latency. Key areas of exploration include the deployment of lightweight models, leveraging hardware accelerators, and implementing flexible deployment strategies to address the constraints and requirements of edge devices. By examining the comparative performance of edge-specific versus traditional architectures, as well as benchmarking and evaluating model efficiency, this chapter provides a comprehensive framework for understanding and optimizing the interplay between edge computing and machine learning. The discussion was supported by practical case studies and real-world applications, offering valuable insights for researchers and practitioners seeking to enhance the capabilities and efficiency of edge-based IoT systems.

Exosomes are membranous nanovesicles of endocytic origin that help to facilitate cell-to-cell communication by transporting cellular cargo locally or systemically to a recipient cell. These are subsequently fused and internalised by recipient cells. Exosomes are secreted from all cell types in HIV-1 infected patients. Recent studies reveal that exosomes from various sources modulate the pathophysiology of HIV-1, and conversely, exosomes are also targeted by HIV-1 factors. Semen or plasma exosomes could suppress/inhibit HIV-1 replication in humans and rodent models. Exosomal cargo components could be used as a biomarker in HIV-1patients and AIDS-defining patients. Exosome in semen and plasma is a useful tool for the diagnosis of HIV-1 and an alternative therapeutic tool for antiretroviral therapy.

A study on geochemical characterization of groundwater and its suitability for drinking and industrial purpose was carried out in and around Rourkela, an industrial city of Odisha. Altogether 36 groundwater samples were collected during May 2011 and analyzed for the water quality parameters such as pH, electrical conductivity, total dissolved solids, calcium, magnesium, sodium, potassium, bicarbonate, sulphate, chloride etc. Suitability of the groundwater for drinking and industrial purpose is evaluated following various classification schemes and water quality standards. Piper’s Trilinear diagram reveals that water of the study area belongs to the Ca-Mg-HCO3 facies. Calcium and magnesium are major cations and bicarbonate is the major anion in the study area. The prolific presence of Ca, Mg and bicarbonate ions demonstrates that the total hydro-geochemistry is dominated by alkaline earths and weak acids. The chemical composition of ground water is controlled by sediment-water interaction. Various classifications show that present status of ground water is better for drinking purpose. Corrosivity ratio is analysed and Gibb’s diagram is plotted to estimate the quality of water for industrial use and rock water interaction.

Organizing rural women through Self Help Groups and equip them to earn income by the formation of microenterprises have created an economic revolution in Odisha, India. Empowerment of women through microenterprises in rural Odisha can challenge their traditional practice and culture to effectively promote their well being. The present study addresses women empowerment through microenterprises in Cuttack district of Odisha. In this research work, field data were collected from rural women based on their working pattern, economic condition, family background, education level, and size of the family. Descriptive Statistics including frequencies, percentage, mean and standard deviations were carried out to draw meaningful interpretation of the results and to find out the reasons for joining the microenterprises. The result of the study revealed that microenterprises programmes have had greater impact on both social and economical aspects of the rural women in Odisha. The successful functioning of microenterprises provides economic independence to women leading to their empowerment.

We discuss here a self-consistent method to calculate the properties of the cold asymmetric nuclear matter. In this model, the nuclear matter is dressed with s-wave pion pairs and the nucleon-nucleon (N-N) interaction is mediated by these pion pairs, ω and ρ mesons. The parameters of these interactions are calculated self-consistently to obtain the saturation properties like equilibrium binding energy, pressure, compressibility and symmetry energy. The computed equation of state is then used in the Tolman-Oppenheimer-Volkoff (TOV) equation to study the mass and radius of a neutron star in the pure neutron matter limit.

The temperature dependence of the different thermodynamic quantities like entropy, equation of state, free energy, internal energy, effective mass, chemical potential, etc. are calculated for nuclear and neutron matter within a fully self-consistent model and compared with the results obtained by others. An effective interaction consisting of Sussex interaction plus an empirical density-dependent interaction is taken in the calculation. The latter is added so as to correctly reproduce the saturation property of nuclear matter. The calculated entropy is in excellent agreement with experiment.