An Efficient Analysis on Performance Metrics for optimized Wireless Sensor Network

Wireless Sensor Networks have the revolutionary significance in many new monitoring applications and self-organized systems. Based on the nature of application WSN are needed to support various levels of Quality of Services. Quality of service parameters are most significant aspect in WSN during data transmission from sensor nodes to sink. This paper surveys the factor on reliability, predictability, sustainability, optimal clustering and scheduling by analyzing various models existing in WSN. A network that satisfies all these Qos parameters ensures outstanding throughput in performance. We concluded by exploring some of the dimensions for research interest and addressed open issues ahead to enhance the performance of WSNs

A Material Model Approach on the Deflection and Crack Pattern in Different Panels of the RCC Flat Plate using Finite Element Analysis

Three reinforced cement concrete (RCC) flat plate panels, namely interior, edge, and corner panels, were considered for evaluating the deflection and crack development from the column. In this study, a numerical analysis was conducted for a steel fibre-reinforced flat plate with steel fibre volumes of 0.3% and 0.4%. The study was conducted on real- and scaled-sized flat plates. We used the ABAQUS software to model and evaluate the deflection and crack patterns. An experimental study was conducted on the scaled-sized specimens to validate the finite element analysis (FEA) results. This study presents the punching shear behaviour of various panels of a flat plate with and without steel fibres. The deflection values obtained from the FEA and experiment were compared, and we found that the interior panel exhibited better results when compared to edge and corner panels. A minimum of three sided support is preferred for the stability of a larger-sized flat plate. The interior panels provided better strength and load-bearing capacity when compared to edge and corner panels. Crack patterns for different panels of a flat plate with different steel fibre volumes were analysed by comparing the FEA and experimental results. The development of cracks moved away from the column face on addition of steel fibres and changed its brittle nature. The results indicate that the crack developed from the column face is away from the critical distance d/2 from the slab-column junction (specimens with fibre), further demonstrating the stability of the structure. Doi: 10.28991/CEJ-2022-08-03-05 Full Text: PD

Enlightening Network Lifetime based on Dynamic Time Orient Energy Optimization in Wireless Sensor Network

Mobile Ad-hoc Networks (MANET) are a set of Large-scale infrastructure and mobile device networks that build themselves without centralized control to provide various services through mobile. However, the quality of service of MANET is highly dependent on multiple parameters. Many routing schemes in literature use hop count, mobility speed, direction, etc. Similarly, the flow-based approach chooses long routes, which increases latency and reduces throughput efficiency. However, not all methods work well with all Quality of Service (QoS) parameters. To introduce a Dynamic Time Orient Energy Optimization (DTOEO) algorithm to construct the energy-based tree formation to achieve the minimum energy consumption network. Energy-based Dynamic Tree Routing to provide higher energy node and shortest route estimation that help to better transmission quality. In this proposed DTOEO method, perform three stages, there are i). Source node discovery process, ii). Time-orient density estimation, and iii). Energy-based Dynamic Tree Routing. In this stage, orient density estimation evaluates the data transmission size for each window period. To assess the consuming energy in the overall network. The proposed method of performance evaluation using various QoS matrices and its comparison to the existing process provides better performance

Survey on Security Enhancement at the Design Phase

Pattern classification is a branch of machine learning that focuses on recognition of patterns and regularities in data. In adversarial applications like biometric authentication, spam filtering, network intrusion detection the pattern classification systems are used [6]. In this paper, we have to evaluate the security pattern by classifications based on the files uploaded by the users. We have also proposed the method of spam filtering to prevent the attack of the files from other users. We evaluate our approach for security task of uploading word files and pdf files. DOI: 10.17762/ijritcc2321-8169.150314

Stronger reconstruction of distance-hereditary graphs

A graph is said to be set-reconstructible if it is uniquely determined up to isomorphism from the set S of its non-isomorphic one-vertex deleted unlabeled subgraphs. Harary’s conjecture asserts that every finite simple undirected graph on four or more vertices is set-reconstructible. A graph G is said to be distance-hereditary if for all connected induced subgraph F of G, dF (u, v) = dG(u, v) for every pair of vertices u, v ∈ V (F). In this paper, we have proved that the class of all 2-connected distance-hereditary graphs G with diam(G) = 2 or diam(G) = diam(Ḡ) = 3 are set-reconstructible.The second author is supported by the University Grants Commission, Government of India. (F./2017-18/NFO-2017-18-OBC-TAM-53159)Publisher's Versio

INDUCED PHENOLOXIDASE PROFILES IN SILKWORM Bombyx mori (L.) UNDER BIOTIC STRESS

Phenol oxidase (PO) is one of the stress enzyme protein in living organism. The conversion of Pro-PO into an activation form of PO required a stress protein. In the present study has emerged with the novel finding of induced phenoloxidase was identified under bacterial endotoxin viz., Lipopolysaccharide (LPS) activity using silkworm Bombyx mori as an animal model. The PO enzyme plays an important role for insect survival during pathophysiological conditions. The enzyme activity was analyzed from ten different silkworm races with two phenolic substrates viz., L-Dopa and Dopamine by Native-PAGE. The bacterially induced PO was found in hemolymph and midgut of silkworm, PO3 were induced by LPS injection. In control PO1 & PO2 are non-bacterially induced protein having the molecular weight of 72 and 71. The results shown that there is no substrate specificity and similar functional activity was found in hemolymph and midgut under pathogenic condition. It was observed that bacterially inducible PO clearly differed from non-inducible PO (control). At final observation of induced isozymes of PO in the haemolymph and midgut system of tolerant silkworm races points out the existence of biochemical immunity against biotic stress of LPS. This is the first report to document the silkworm immunity under the LPS toxin in different silkworm races to identify the tolerant and susceptibility against a biotic stress

Comparision of Different Classifiers for Prediction of Breast Cancer

The cell formed in the  breast are known as breast cancer. It occurs mainly in women and it may occur rarely in men also. It is considered as the most common ailment that can lead to large number of death in females every year. In spite of the factuality that cancer is treatable and can be relieve if treated at its early stages; many patients are screened for cancer only at a very late stage. Data mining technique such as classifications provides an efficient technique to classify data, where these methods are commonly used for diagnostic decision making. The Machine learning techniques propound various methods such as statistical and probabilistic methods which allow system to learn from past experiences to distinguish and identify patterns from a standard dataset. The research work presents a review of machine learning techniques which can be used in breast cancer disease detection by applying algorithms on breast cancer Wisconsin data set.  Algorithms such as Navies Bayes, Random Forest, Support Vector Machine, Adaboost and Decision Trees were used. The result outcome shows that Random Forest performs better than other techniques

Wound Healing Activity of Calotropis Procera Root Bark on Diabetic Rats

Herbal therapy and herbal medicine in traditional medicine as well as in alternative medicine practiced in the developed world. There is recent most of the harbal formulation are used to cure & improve the humal life. The present study Wound healing activity of Calotropis procera root bark on diabetic rats in that root bark is extracted from ethanolic extract using soxhlet method. The pharmacognostic study was done after that phytochemical characters should be studied. The root bark has alkaloids, Flavonoids, steroids and tannins active constituents.  Acute toxicity study carried out with three pharmacological models Incision model, Excision model, and Dead space model. All the extract show predominant activity against selected species. Extract shows beneficial effect on diabetic wound it heals in time with standard component. Overall results of this study reveals that this is an effective extract on diabetic wound. Keywords: Traditional medicine, Calotropis procera, Wound Healing Activit