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Saranya Ganapathy,Megha N. Parajulee,Michael San Francisco,Hong Zhang,Shan L. Bilimoria 한국식물생명공학회 2021 Plant biotechnology reports Vol.15 No.1
Insect pests are a serious threat to agricultural productivity. Genetically-modifed crops ofer a promising alternative, and Bacillus thuringiensis endotoxin genes have played a major role in this respect. However, to overcome insect tolerance issues and to broaden the target range, it is critical to identify alternative insecticidal toxins working through novel mechanisms. In our previous study, a kinase from Chilo iridescent virus (CIV) that has insecticidal activity was identifed and designated as Iridovirus Serine/Threonine Kinase (ISTK). A 35 kDa truncated form of ISTK, designated iridoptin, was obtained during expression and purifcation of ISTK in the yeast system. This yeast-expressed CIV toxin induced 50% mortality in cotton aphids and 100% mortality in green peach aphids (GPA). In this study, codon optimized ISTK gene and iridoptin fragment (designated oISTK and oIRI, respectively) were designed by altering the codon usage features that are seldom present in plant exons. Codon-optimized gene(s) cloned into plant expression vectors were used to stably transform Arabidopsis plants. PCR analysis of genomic DNA of transformed plants confrmed the presence of the DNA insert (oISTK/oIRI) in selected transgenic lines. Further screening was performed by selecting the PCR positive lines, which showed expression of respective toxins at the polypeptide level, using Western blot analyses. Codon-optimized gene constructs resulted in signifcant improvement in levels of expression of ISTK and iridoptin polypeptide and confrmed its stability in planta. The stable lines expressing either of the two toxin forms induced moderate to very high mortality in GPAs and signifcantly afected GPA development and fecundity.
Saranya S.,Balaji M 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.2
In this work a new configuration of E-core stator Switched Reluctance Motor (SRM) with permanent magnets and auxiliary windings embedded in the stator yoke is proposed. For the proposed configuration of SRM electromagnetic analysis is performed using Finite Element Analysis (FEA) based computer aided design package MagNet and to emphasize its merits a comparison is drawn with existing hybrid excitation configuration of SRM. In addition, the vibration characteristics of the motor are analyzed by performing modal and transient analysis using the ANSYS package. Results of the analysis reveals that the proposed configuration of SRM exhibits better electromagnetic and vibration characteristics and is capable of competing with the existing topologies in the variable speed market.
Statistical Convergence on Intuitionistic Fuzzy n-Normed Spaces over Non-Archimedean Fields
Saranya N,Suja K 한국지능시스템학회 2024 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.24 No.2
In this study, we investigated the notion of statistical convergence, specifically statisticallyCauchy convergence, for a non-Archimedean intuitionistic fuzzy n-normed space. This studyshows that certain properties of statistical convergence, which are not classically true, hold ina non-Archimedean intuitionistic fuzzy n-normed space. Furthermore, we defined statisticallycomplete and statistically continuous spaces and established some basic facts about them.
Integrated Vision and Sensor Based Analysis for Sleep Apnea Using FeatFaceNet Deep Learning
Saranya G. 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1
For the purpose of identifying sleep apnea, it's critical to have a trustworthy, distant, and non-intrusive technology for monitoring heart rate, breathing rate, and SpO2. Polysomnography (PSG) is the standard approach for diagnosing sleep apnea, but it is also an expensive and time-consuming process. It calls for a sleep lab with specifc electrode-based gear and staf with the necessary training. When the subject is sufering from any neurological conditions like Parkinson Disease (PD), all these elements combine to make the process difcult and uncomfortable for the patient. In this work, a real-time video-based and signal-based system for diagnosing sleep apnea in persons with Parkinson's disease is presented. The criteria that are required for the detection of sleep apnea in subjects are heart rate (HR), respiration rate (RR), and oxygen saturation (SpO2). Here, it is possible to use a smartphone camera to detect and interpret imaging Photoplethysmography (iPPG) signals from video of a user's face in order to assess HR, RR, and oxygen saturation. In order to determine the volumetric changes in the blood fow, iPPG datas are processed in accordance with the video-based monitoring method. The Viola Jones method is employed in this research to identify faces. The iPPG signals are collected using the RGB channel approach after image segmentation to determine the region of interest (ROI) as the forehead. From the collected iPPG signals, the characteristics of the HR, RR, and SpO2 parameters are extracted and mathematically calculated. The time domain and frequency domain features are extracted from the ECG signal of the matching individuals. Using the FeatFaceNet Deep Learning technique, these features are decreased. The Ensemble Boosted SVM (EB-SVM) classifcation algorithm is utilized to categories the data into apneic conditions after feature selection. In the event of an emergency, the project's fnding may also be used to notify the medical assistant. As a result, our method enables remote sleep apnea detection for making the process cost-efective and comfortable for the individuals. The proposed method suggests the following performance indices: accuracy, error, precision, recall, FPR, F1-Score, and processing time.
Dynamic Data Replication and Scheduling Using Fuzzy-CSO Algorithm for IoT-Clouds
Saranya M.,Ramesh R. 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.5
Data replication and task scheduling are two strategies to enhance the performance of data-intensive applications. One of the main issues in the Internet of Things (IoT)-Cloud scenario is uploading data from the sensor gateways and replicating it across multiple cloud data centres (DCs) for high availability. To avoid such problems, there is a need to adaptively determine the number of replicas and their optimum locations. Although data replication ensures availability and reliability, keeping many copies of each data will increase storage space use. To overcome this problem, a minimal number of replicas need to be maintained for these files. Most of the existing works consider the system as non-faulty, but in real-time, various faults may occur at every data centre (DC). Hence, the main objectives of this research work are to adaptively determine the number of replicas and their optimum locations, as well as to design a fault-tolerant scheduling algorithm for IoT-based Cloud. This paper deals with the design of dynamic data replication and scheduling framework using the Hybrid Fuzzy-CSO algorithm for the IoT-Cloud. It uses the Cat Swarm Optimization (CSO) algorithm to find the optimal locations for replications. The fitness function is derived from the distance between the main DC and the other DCs. A Fuzzy logic decision model was designed to determine the optimal number of replicas. During task scheduling, data replication was performed in the selected replication points and scheduled accordingly. The experimental results have indicated that the proposed Fuzzy-CSO framework attains minimum data transfer time, minimum response delay, and higher bandwidth utilization than the existing algorithms.
Saranya Kuppusamy,Palanisami Thavamani,Mallavarapu Megharaj,Kadiyala Venkateswarlu,이용복,Ravi Naidu 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.37 No.-
The potential of dried twigs of Melaleuca diosmifolia as a novel biosorbent for removing three cationicdyes, methylene blue (MB), acridine orange (AO) and malachite green (MG), and an anionic dye,eriochrome black T (EB) was evaluated in a batch adsorption process. Notably, the biosorbent removed77–99% of both cationic and anionic dyes in a wide ranging pH of 2–10, and the reactions wereendothermic. The dye adsorption equilibria were rapidly attained within 3 h. The monolayer adsorptioncapacity of the sorbent added at 5 g L 1 was 119.05, 126.8, 116.28 and 94.34 mg g 1 for MB, AO, MG andEB, respectively. The water extract obtained from the plant material induced fast decolourization of bothcategories of dyes followed by gradual flocculation, indicating its potential as a natural coagulant. Gaschromatographic analysis also indicated that the main electrostatic attraction between 1,8-cineole, 1-pmethene-8-thiol and furfural compounds of the biomaterial, and dye molecules resulted in theformation of initial supramolecular complexes which further progressed into strong aggregates, leadingto precipitation of dye–biomaterial complexes. Subsequently, the overall complex mechanism of dyeremoval was confirmed to be a combined process of adsorption and coagulation. Consistent with thebatch studies, using selected plant material in real environmental water samples also resulted ineffective dye removal, highlighting its potential for use in wastewater treatment.