A Novel Context-Aware Computing Framework with the Internet of Things and Prediction of Sensor Rank Using Random Neural XG-Boost Algorithm

Rajkumar Manokaran Newlin,Anbuchelvan Rajamurugan 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.4

The amount of sensors being used worldwide is gradually increasing as the Internet of Things (IoT) draws closer. According to market data, sensor deployments have grown signifi cantly over the last decade, and the pace of expansion is expected to accelerate. Massive amounts of information are being produced by these sensors continually. However, before we can add value to raw sensor data, we must fi rst comprehend it. This challenge involves gathering, modeling, interpreting, and communicating sensor data context. In sensor data analysis, context-aware computation has been proven successful. Relevance is defi ned by the user's job when a system uses context to provide necessary details and resources to a user. In this paper, we propose a novel IoT context-aware system for predicting the rank of sensors based on context data. Fuzzy Logic-based Contextual Defensible Reasoning (FL-CDR) is presentedusing Random Neural XG-Boost Algorithm to Predict Sensor Rank in a Novel Context-Aware Computing Framework with the Internet of Things.The proposed is proved eff ective in ranking the sensors based on the context data. Using the XGBoost algorithm achieves the maximum accuracy by 97.03% and the lowest latency by 15%.

Mitochondrial DNA-based investigation of dead rorqual (Cetacea: Balaenopteridae) from the west coast of India

Shantanu Kundu,Manokaran Kamalakannan,Dhriti Banerjee,Flandrianto Sih Palimirmo,Arif Wibowo,Hyun-Woo Kim The Korean Society of Fisheries and Aquatic Scienc 2024 Fisheries and Aquatic Sciences Vol.27 No.1

The study assessed the utility of mitochondrial DNA for identifying a deceased rorqual discovered off the western coast of India. Both the COI and Cytb genes exhibited remarkable 99-100% similarity with the GenBank sequence of Balaenoptera musculus through a global BLAST search, confirming their affiliation with this species. Inter-species genetic distances for COI and Cytb genes ranged from 6.75% to 9.80% and 7.37% to 10.96% respectively, compared with other Balaenopteridae species. The Bayesian phylogenies constructed based on both COI and Cytb genes demonstrated clear and separate clustering for all Balaenopteridae species, further reaffirming their distinctiveness, while concurrently revealing a cohesive clustering pattern of the generated sequences within the B. musculus clade. Beyond species confirmation, this study provides valuable insights into the presence of live and deceased B. musculus individuals within Indian marine ecosystems. This information holds significant potential for guiding conservation efforts aimed at safeguarding Important Marine Mammal Areas (IMMAs) in India over the long term.

Quaternary PtRuFeCo nanoparticles supported N-doped graphene as an efficient bifunctional electrocatalyst for low-temperature fuel cells

Muruganantham Rethinasabapathy,강성민,Yuvaraj Haldorai,Narendranath Jonna,Manokaran Jankiraman,이고운,장성찬,Balasubramanian Natesan,노창현,허윤석 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.69 No.-

N-doped graphene supported quaternary electrocatalyst (PtRuFeCo/NG) was synthesized and evaluated for potential oxygen reduction (ORR) and methanol oxidation reaction (MOR) in fuel cells. The catalyst exhibited excellent MOR (strong CO tolerance, lower onset potential), ORR (four electron transfer) activities and delivered maximum power densities of 778 and 122 mW cm−2 with direct methanol and proton exchange membrane fuel cells, respectively. The N-doping and synergistic effects of alloying low-cost Fe and Co with Pt and Ru makes PtRuFeCo/NG as excellent bifunctional catalyst that greatly reduces the processing cost of fuel cell which is the major problem facing the fuel cell industry.

Biodiversity and Regeneration of Canopy Tree Species in a Tropical Rain Forest in Southeast Asia

Kachi, N.,Okuda, Kachi N .,Yap, S . K .,Manokaran, N . 경북대학교 환경과학연구소 1995 環境科學硏究所論文集 Vol.9 No.1

Plants utilise basically the same resources, i.e. carbon dioxide, water, oxygen, and mineral nutrients, for their griwth and reproduction. If there are competitive differences among different plant species, ultimately only the most competitive species will expel the less competitive species. Then, why and how do so many kinds of plant species coexist in tropical rain forests? In addressing this question, two topics are presented from the viewpoint of plant population ecology. Basic data on biodiversity of a tropical rain forest in Southeast Asia are introduced, based on demographic data of a 50-ha permanent plot in Pasoh Forest Reserve. Malaysia. which was published by the Forest Research Institute of Malaysia. In this plot, there are ca. 335.000 individuals with a stem diameter 1 cm or larger at breast height and the total number of species is 814. Of these species. 366 are canopy or emergent tree species. This means that 45 of tree species diversity in this forest is maintained in the canopy layer. Populations of canopy tree species are maintained through the process of "gap regeneration". To identify fine-scale functional differences in response to a canopy gap among seedlings of canopy tree species, seedling growth and survival were compared between two common dipterocarp species (Shorea leprosula and Neobalanocarpus heimii) in a forest gap and unedr a closed canopy at Pasoh. In the gap. Shorea leprosula showed more enhanced growth and higher leaf turnover. Under the closed canopy, both species showed slow and comparable growth, but the survival rate of Shorea Ieprosula was lower. Higher seedling growth in a gap and lower survival under a closed canopy correspond to the higher turnover of the seedling or sapling bank of Shorea leprosula. In contrast, the slow and steady growth of Neobalanocarpus heimii, irrespective of light conditions, is consistent with the slow turnover of its sapling populations. Temporal and spatial variations in light environments during gap regeneration may cause suppression and release of seedling grewth. Regeneration of Shorea leprosula will be successful where gap formation is relatively frequent. whereas Neobalanocarpus heimii may regenerate at locations with infrequent gap formation. Based on these results. the implications of finescale partitioning of temporarily variable regeneration niches among different species for maintaining the species richness of tropical rain forests are discussed.

Quaternary PtRuFeCo nanoparticles supported N-doped graphene as an efficient bifunctional electrocatalyst for low-temperature fuel cells

Rethinasabapathy, Muruganantham,Kang, Sung-Min,Haldorai, Yuvaraj,Jonna, Narendranath,Jankiraman, Manokaran,Lee, Go-Woon,Jang, Sung-Chan,Natesan, Balasubramanian,Roh, Changhyun,Huh, Yun Suk Elsevier 2019 Journal of industrial and engineering chemistry Vol.69 No.-

<P><B>Abstract</B></P> <P>N-doped graphene supported quaternary electrocatalyst (PtRuFeCo/NG) was synthesized and evaluated for potential oxygen reduction (ORR) and methanol oxidation reaction (MOR) in fuel cells. The catalyst exhibited excellent MOR (strong CO tolerance, lower onset potential), ORR (four electron transfer) activities and delivered maximum power densities of 778 and 122mWcm<SUP>−2</SUP> with direct methanol and proton exchange membrane fuel cells, respectively. The N-doping and synergistic effects of alloying low-cost Fe and Co with Pt and Ru makes PtRuFeCo/NG as excellent bifunctional catalyst that greatly reduces the processing cost of fuel cell which is the major problem facing the fuel cell industry.</P> <P><B>Highlights</B></P> <P> <UL> <LI> First time, a quaternary catalyst is tested as bifunctional catalyst using NG as support. </LI> <LI> Exhibit higher ECSA (91m<SUP>2</SUP> g<SUP>−1</SUP>) and strong tolerance towards CO poisoning. </LI> <LI> Two to three-fold increase in MOR activity than other multi-metallic catalysts. </LI> <LI> Facilitate 4 electron transfer with high current in ORR (6.3mAcm<SUP>−2</SUP>). </LI> <LI> Greatly reduce the cost of the catalyst due to less Pt usage and addition of Fe and Co. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Graphene oxide functionalized with chitosan based nanoparticles as a carrier of siRNA in regulating Bcl-2 expression on Saos-2 & MG-63 cancer cells and its inflammatory response on bone marrow derived cells from mice

Saravanabhavan, Shanmuga Sundar,Rethinasabapathy, Muruganantham,Zsolt, Sarang,Kalambettu, Aravind Bhat,Elumalai, Sundaravadivel,Janakiraman, Manokaran,Huh, Yun Suk,Natesan, Balasubramanian Elsevier 2019 Materials science & engineering. C, Materials for Vol.99 No.-

<P><B>Abstract</B></P> <P>Presently, quite a lot of research that are being carried out to find a potential cure for cancer and many had made to clinical trial stage as well. In the present study, we focus on use of a novel graphene oxide functionalized chitosan nanoparticle targeting Saos-2 and MG-63 osteosarcoma cells. The graphene oxide chitosan nanoparticles were loaded with siRNA, studied for <I>in vitro</I> release with varying concentration & pH, and fitted to peppas model. MTT & ROS assay was used to evaluate biocompatibility of carrier and qPCR to study the inflammatory responses in particular checking gene expression of IL-6, TGF-ß, TNF-α in both RAW 264.7 and bone marrow derived macrophages. The results of study showed that release of siRNA were in a controlled fashion and effective at acidic pH that prevails on tumor site. The material was biocompatible and effective in case of Saos-2 osteosarcoma cells with a viability of 0.4 ± 0.43 and 0.49 ± 0.53 in case of MG-63 cells when treated with highest concentration of 100 μl siRNA compared to untreated cells that were in range of 0.64 ± 0.67 in Saos-2 and 0.61 ± 0.63 in MG-63 cells. The results of expression of inflammatory cytokines IL-6, TGF-β & TNF-α showed negligible amount compared to control group serving the purpose of an effective carrier targeting tumor cells.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Graphene oxide functionalized chitosan nanoparticle with siRNA targeting <I>Saos-2</I> and <I>MG-63</I> cells exhibited a controlled release. </LI> <LI> Effective release of siRNA on cancer cells and destruction of the same. </LI> <LI> No inflammation observed when treated with RAW and Bone Marrow derived macrophages derived from mice models. </LI> <LI> Inflammatory response was less compared to the control groups and under testing <I>in vivo</I> on mice models </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>