Selection of Machine Learning Techniques for Network Lifetime Parameters and Synchronization Issues in Wireless Networks

Srilakshmi, Nimmagadda,Sangaiah, Arun Kumar Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.4

In real time applications, due to their effective cost and small size, wireless networks play an important role in receiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisation of nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, fault detection, and quality of service, among others. Conventional methods were programmed, for static networks which made it difficult for networks to respond dynamically. Here, machine learning strategies can be applied for dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with less human intervention and reprogramming. In this paper, we present a wireless networks survey based on different machine learning algorithms and network lifetime parameters, and include the advantages and drawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion, synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluation of the survey, the motive for choosing specific techniques to deal with wireless network problems, and a brief discussion on the challenges inherent in this area of research.

Lead-free inorganic metal perovskites beyond photovoltaics: Photon, charged particles and neutron shielding applications

Prabhu Srilakshmi,Bharadwaj Dhanya Y.,Bubbly S.G.,Gudennavar S.B. 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.3

Over the last few years, lead-free inorganic metal perovskites have gained impressive ground in empowering satellites in space exploration owing to their material stability and performance evolution under extreme space environments. The present work has examined the versatility of eight such perovskites as space radiation shielding materials by computing their photon, charged particles and neutron interaction parameters. Photon interaction parameters were calculated for a wide energy range using PAGEX software. The ranges of heavy charged particles (H, He, C, N, O, Ne, Mg, Si and Fe ions) in these perovskites were estimated using SRIM software in the energy range 1 keVe10 GeV, and that of electrons was computed using ESTAR NIST software in the energy range 0.01 MeVe1 GeV. Further, the macroscopic fast neutron removal cross-sections were also calculated to estimate the neutron shielding efficiencies. The examined shielding parameters of the perovskites varied depending on the radiation type and energy. Among the selected perovskites, Cs2TiI6 and Ba2AgIO6 displayed superior photon attenuation properties. A 3.5 cm thick Ba2AgIO6-based shield could reduce the incident radiation intensity to half its initial value, a thickness even lesser than that of Pb-glass. Besides, CsSnBr3 and La0.8Ca0.2Ni0.5Ti0.5O3 displayed the highest and lowest range values, respectively, for all heavy charged particles. Ba2AgIO6 showed electron stopping power (on par with Kovar) better than that of other examined materials. Interestingly, La0.8Ca0.2Ni0.5Ti0.5O3 demonstrated neutron removal cross-section values greater than that of standard neutron shielding materials - aluminium and polyethylene. On the whole, the present study not only demonstrates the employment prospects of eco-friendly perovskites for shielding space radiations but also suggests future prospects for research in this direction

Selection of Machine Learning Techniques for Network Lifetime Parameters and Synchronization Issues in Wireless Networks

Nimmagadda Srilakshmi,Arun Kumar Sangaiah 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.4

In real time applications, due to their effective cost and small size, wireless networks play an important role inreceiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisationof nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, faultdetection, and quality of service, among others. Conventional methods were programmed, for static networkswhich made it difficult for networks to respond dynamically. Here, machine learning strategies can be appliedfor dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with lesshuman intervention and reprogramming. In this paper, we present a wireless networks survey based ondifferent machine learning algorithms and network lifetime parameters, and include the advantages anddrawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion,synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluationof the survey, the motive for choosing specific techniques to deal with wireless network problems, and a briefdiscussion on the challenges inherent in this area of research.

Immobilization of Watermelon (Citrullus vulgaris) Urease in Agarose Gel for Urea Estimation

Om Prakash,Srilakshmi Puliga,Lata Sheo Bachan Upadhyay 한국생물공학회 2007 Biotechnology and Bioprocess Engineering Vol.12 No.2

Urease from dehusked seeds of watermelon was immobilized in 1.5% agarose gel with 53.9% entrapment. There was negligible leaching (< 10% at 4℃) and the same gel membrane could repeatedly be used for seven days. The immobilization exhibited no apparent change in the optimum pH but there was a significant decrease in the optimum temperature (50℃ as compared to 65℃ for soluble urease). The immobilized urease revealed an apparent Km of 9.3 ± 0.3 mM; 1.2 times lower than the soluble enzyme (11.4 ± 0.2 mM). Unlike soluble enzyme which was inhibited at 200 mM urea, the immobilized urease was inhibited at 600 mM of urea and above, and about 47% activity was retained at 2 M urea. The time-dependent thermal inactivation kinetics at 48 and 52℃ was found to be biphasic, in which half of the initial activity was destroyed more rapidly than the remaining half. These gel membranes were also used for estimating the urea content of the blood samples from the University hospital. The results obtained matched well with those obtained by the usual method employed in the clinical pathology laboratory. The significance of these observations is discussed.

Efficient Leather Dehairing by Bacterial Thermostable Protease

Jatavathu Madhavi,Jatavathu Srilakshmi,M. V. Raghavendra Rao,K. R. S. Sambasiva Rao 보안공학연구지원센터 2011 International Journal of Bio-Science and Bio-Techn Vol.3 No.4

Immobilization of Watermelon (Citrullus vulgaris) Urease in Agarose Gel for Urea Estimation

Prakash, Om,Puliga, Srilakshmi,Upadhyay, Lata Sheo Bachan Korean Society for Biotechnology and Bioengineerin 2007 Biotechnology and Bioprocess Engineering Vol.12 No.2

Urease from dehusked seeds of watermelon was immobilized in 1.5% agarose gel with 53.9% entrapment. There was negligible leaching(<10% at $4^{\circ}C$) and the same gel membrane could repeatedly be used for seven days. The immobilization exhibited no apparent change in the optimum pH but there was a significant decrease in the optimum temperature ($50^{\circ}C$ as compared to $65^{\circ}C$ for soluble urease). The immobilized urease revealed an apparent $K_m\;of\;9.3{\pm}0.3 M;$ 1.2 times lower than the soluble enzyme $(11.4{\pm}0.2mM)$. Unlike soluble enzyme which was inhibited at 200mM urea, the immobilized urease was inhibited at 600mM of urea and above, and about 47% activity was retained at 2M urea. The time-dependent thermal inactivation kinetics at 48 and $52^{\circ}C$ was found to be biphasic, in which half of the initial activity was destroyed more rapidly than the remaining half. These gel membranes were also used for estimating the urea content of the blood samples from the University hospital. The results obtained matched well with those obtained by the usual method employed in the clinical pathology laboratory. The significance of these observations is discussed.

Exploring New Paradigms in High-Density Vertical Hybrids

Ravindranath, Swinal Samant,Menon, Srilakshmi Jayasankar Council on Tall Building and Urban Habitat Korea 2018 International journal of high-rise buildings Vol.7 No.2

By the year 2050, the world population is set to increase to 9 billion people, of which 66% will be living in cities. It is argued that this will inevitably lead to further urban densification and soaring, inhumane and dense vertical environments. However, innovative and disruptive technologies impacting all realms of life means that we will also live, work, play, learn and make in novel ways, the beginnings of which are already becoming evident. These present opportunities for reimagining city environments, and in particular tall buildings, with a focus on reducing redundancies and re-appropriating existing buildings, creating novel hybrid environments, incorporating green and social democratic spaces, and integrating multiple modes of transport. This paper examines how vertical cities may perhaps be dense, resource efficient, and yet humane, presenting three possible scenarios for Singapore's context, which are, however, common to many Asian high-density urban environments. The scenarios presented are the outcome of Final-Year Thesis Projects undertaken by final-year architecture students at the National University of Singapore (NUS) in 2017.

A Study on Spending Patterns and Buying Motives of Indian Gold Consumers

Rajasekhara Mouly Potluri,Rizwana Ansari,Srilakshmi Challagundla 한국유통과학회 2013 유통과학연구 Vol.11 No.7

Purpose - The objective of this research is to be acquainted with the spending patterns and buying motives of Indian gold consumers along with the opinions of gold traders. Research design, data, and methodology - The study administers a structured questionnaire survey with 450 consumers and conducts personal interviews with 60 gold businesspersons in the Indian state of Andhra Pradesh, a leading gold consuming state in the entire country. Using Analysis of Variance, the collected data was analyzed and the hypotheses were tested. Results - Results indicate that 85 percent of Indian gold consumers are purchasing gold in the form of ornaments and jewellery as against 10 percent invested in gold coins/bars. Another 5 percent consumers is investing in gold by choosing either gold traded mutual funds or gold schemes introduced by corporate gold traders. Conclusions - Majority of the Indian gold consumers are considering occasions and festivities while buying gold and then giving preference to price as against least preference to recommendations of brand ambassadors.

A Critical Assessment of the Implementation of Sources of Power: An Indian Context

Rajasekhara Mouly Potluri,Siva Kumar Challa,Srilakshmi Challagundla 한국유통과학회 2014 The Journal of Industrial Distribution & Business( Vol.5 No.1

Purpose - The core objective of this study is to comprehend the diverse nature of implementation of sources of power in the Indian context. Research design, data, and methodology - After a meticulous review of the relevant literature on various types of power with a particular kind of managers’involvement, the article reviews the Indian managers’ behavioral perception and attitudinal disposition while exercising power in their organization, along with a judicious blend of different kinds of power to drive the organization to the expected level. Results - As an input to a full-fledged research study, researchers had taken up this precise discussion and observation on how the managers’ community in India exercises its power. Generally, Indian managers usually implement legitimate power besides reward and coercive power as per the situation, by extending copious benefits to different stakeholders. Based on the psychological and behavioral disposition, Indian managers exercised power in their respective organizations in a fruitful manner. Conclusions -This article has carefully covered the entire corporate sector regardless of magnitude, type, or ownership. It is quite beneficial to all the proactive researchers and academia along with the corporate world.

Moss Octoblepharum albidum Hedw.: Isolation, characterization, in vitro and in vivo antidiabetic activities

Tatipamula Vinay Bharadwaj,Ketha Alekhya,Nallapaty Srilakshmi,Kottana Hymavathi,Koneru Sree Teja 경희대학교 융합한의과학연구소 2021 Oriental Pharmacy and Experimental Medicine Vol.21 No.2

In India’s folklore, extracts of moss Octoblepharum albidum used in the treatment of fever, bacterial infections, and diabe-tes. The present study aimed to establish the chemical and pharmacological profile of the ethanolic extract of O. albidum(OA-Et). By using column chromatography, OA-Et yielded three known metabolites, namely 6-hydroxy-4,4,7a-trimethyl-5,6,7,7a-tetrahydrobenzofuran-2(4H)-one(1), 4,4,7a-trimethyl-2-(prop-1-en-2-yl)-2,4,5,6,7,7a-hexahydrobenzofuran-6-ol(2) and 1-(6-hydroxy-2-(2-hydroxypropan-2-yl)-4-methoxy-2,3-dihydrobenzofuran-7-yl)-ethan-1-one(3), which were reported for the first time from this species. The isolated metabolites(1–3) and OA-Et were screened against ferric ions, DPPH free-radicals, superoxide free-radicals, α-glucosidase, α-amylase and aldose-reductase assays, and particularly OA-Et subjected to glycemia activities in albino rats. Among all, 3 and OA-Et depicted significant inhibitory profiles against free-radicals. Particularly, 3 and OA-Et depicted better IC50 values on α-glucosidase and α-amylase, rather than aldose-reductase. Also, the OA-Et (200 mg/kg b.w) treated group revealed significant drop-in body weight (p > 0.001), plasma glucose (p > 0.001), total cholesterol (p > 0.005), total glycerides (p > 0.005), and LDL levels (p > 0.005) in STZ-induced diabetic rats. The HDL levels were markedly augmented in OA-Et (p > 0.005) treated diabetic rats when related to controlled rats. OA-Et abolished increased lipid peroxidation content (p > 0.001) in the pancreas, liver, and kidneys. Histopathological examination of the pan-creas of the OA-Et treated group protected the Langerhans islets with the number of islet cells found statistically significant (p > 0.05) compared to diabetic control pancreas. Thus, O. albidum has an aptitude to acts against diabetes by particularly acting against digestive enzymes, i.e., α-glucosidase and α-amylase.