Load shedding using GA and ACO in smart gird environment
ACO; GA; Load Management; Smart Grid; Smart Load Shedding
Increasing pressure on the utilities to accommodate energy efficiency, load management and progress in advanced technology has led to transformations for existing grid into a smarter grid. Creating awareness among the end-users to participate in load management programs instead of capacity addition is the best solution for maintaining the stability in the grid. Load shedding is a strategy under load management in which load connected to the smart grid is individually controlled via two- way communication. In this paper, a Smart Load shedding approach is developed based on load prioritization. The required amount of load to be shed under lack of sufficient generation level is optimized by Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithms. The proposed approach is implemented using a real time feeder data from the substation, India. The results reflect the effectiveness of proposed algorithms taken into practical applications.
Journal of Electrical Engineering, Vol-16, No. 4
Margaret V., Department of Electrical and Electronics Engineering, Faculty of Engineering, Christ University Bengaluru, India; Rao K.U., Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India
Partial load shedding using ant colony algorithm in smart grid environment
Intelligent load shedding; optimization; Partial load shedding Ant colony algorithm; Smart grid
Effective power distribution methodology is one of the basic necessities to meet the increasing power demand in any power system. Load shedding is done when power demand is more than power generation, to sustain the power system stability. Load shedding methods followed today shed a particular load completely, neglecting the critical consumers within the system. Controlling the loads at individual utility level in smart grid system enables us to put a maximum power limit on utility. Hence by partially shedding the load, demand can be reduced. The technique used here utilizes ant colony algorithm to choose a maximum power limit for each load dynamically based on the importance and priority of load. This method forces the consumer to manage his load internally based on criticality. It also effectively makes use of availability based tariff schemes. 2015 IEEE.
IEEE Region 10 Annual International Conference, Proceedings/TENCON, Vol-2016-January
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/TENCON.2015.7372945 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962179494&doi=10.1109%2fTENCON.2015.7372945&partnerID=40&md5=dc4cba4da4412e65bede1e87b77154e1
Margaret V., Department of Electrical and Electronics Engineering, Christ University Faculty of Engineering, Christ University, Bengaluru, India; Rao K.U., Department of Electrical and Electronics Engineering, RV College of Engineering, Bengaluru, India
Design and implementation of Adaptive PI control based dynamic voltage restorer for solar based grid integration
adaptive PI control; dynamic voltage restorer; solar energy
This paper introduces an innovative approach to address voltage fluctuations in solar-based grid integration by implementing an adaptive PI control-based Dynamic Voltage Restorer (DVR). This DVR is engineered to counteract voltage disruptions resulting from grid disturbances and the intermittent nature of solar energy generation. To achieve optimal performance in diverse operating conditions, the adaptive PI controller dynamically adjusts its parameters, adapting to changes in load and solar generation. The system is realized on a digital signal processor (DSP) and evaluated within a laboratory-scale solar-based grid integration setup. The findings reveal that the proposed system effectively mitigates voltage fluctuations, ensuring a stable integration of solar energy into the grid. The adaptive PI control-based DVR outperforms traditional PI control-based DVRs, particularly when dealing with variable solar energy generation. This approach holds significant potential for practical applications in solar-based grid integration systems. 2024 IEEE.
Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 411-414.
https://doi.org/10.1109/ICWITE59797.2024.10502692 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192506822&doi=10.1109%2fICWITE59797.2024.10502692&partnerID=40&md5=f4afd69dddda3cb4ba5e7b21e8d649e5
Margaret V., Christ (Deemed to Be University), School of Engineering and Technology, Department of Eee, Bangalore, India; Suresh K., Christ (Deemed to Be University), School of Engineering and Technology, Department of Eee, Bangalore, India; Alex A.J., Christ (Deemed to Be University), School of Engineering and Technology, Department of Eee, Bangalore, India
Demand response for residential loads using artificial bee colony algorithm to minimize energy cost
Artificial Bee Colony Algorithm; Demand Response; Residential Load
Power performance expectations are increasing, impacting designs and requiring advanced technology to improve system reliability. Demand Response (DR) is a highly flexible customer driven program in which customer voluntarily changes his energy usage patterns during the peak demand to maintain the system stability and reliability and thereby improves the performance of the gird. This paper proposes a novel algorithm for optimization of the DR schedule of the residential loads for various hours of the day using Artificial Bee Colony (ABC) algorithm. Here, the objective function is subjected to the constraints like cost constraints, time constraints and load demand. The results show that the proposed approach enhances potential in solving problems with good reliability compared with existing approaches. 2015 IEEE.
https://doi.org/10.1109/TENCON.2015.7372868 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962138871&doi=10.1109%2fTENCON.2015.7372868&partnerID=40&md5=a2121127fcf9c09ff138f4541f990af0
Margaret V., Department of Electrical and Electronics Engineering, Christ University Faculty of Engineering, Christ University, Bengaluru, India; Uma Rao K., Department of Electrical and Electronics Engineering, RV College of Engineering, VTU, Bengaluru, India
Intelligent load shedding using ant colony algorithm in smart grid environment
Ant colony algorithm; Grading of loads; Intelligent load shedding; Optimization; Smart grid
For every country which is expecting a large growth in power demand in the near future or facing a power crisis, an effective load control and power distribution strategy is a necessity. Load shedding is done whenever power demand is more than power generation in order to sustain power system stability. The current load shedding strategies fails to shed exact amount of load as per the system requirement and does not prioritize loads which are being shed. Given the dimension of the problem, it would not be feasible computationally, to use regular optimization techniques to solve the problem. The problem is typically suited for application of meta-heuristic algorithms. This paper proposes a new scheme for optimizing load shedding using ant colony algorithm in a smart grid platform considering loads at utility level. The algorithm developed considers each electrical connection from Distribution Company as one lumped load and provides an effective methodology to control the load based on various constrains such as importance of load and time of load shedding. Springer India 2015.
Margaret V.; Uma Rao K.; Ganeshprasad G.G.
Lecture Notes in Electrical Engineering, Vol-326, pp. 1149-1162.
Margaret V., Electrical and Electronics Department, Christ University, Bangalore, India; Uma Rao K., Electrical and Electronics Department, R.V. College of Engineering, Bangalore, India; Ganeshprasad G.G., Electrical and Electronics Department, Christ University, Bangalore, India
Models for load forecasting and demand response /
Increasing pressure on the utilities to accommodate energy efficiency, load management and progress in advanced technology has led to transformations of existing grids into smarter grids. With the development of Smart Grid Technology and the integration of smart meters it is possible to control the equipment installed at the consumer site. Creating awareness among the end users to participate in load management programs instead of capacity addition is the best solution for maintaining the stability in the grid. Utilities can also encourage consumer participation in load control activities. They can ensure that power is given to a consumer during his priority time. For this, loads have to be categorized, prioritized and then considered for load shedding so that revenue loss and social impacts of load shedding are minimized. It would be beneficial if a consumer's load is not completely shed during load shedding. Amount of power that is shed from a consumer can be limited and consumers can be allowed to adjust their loads based on the availability of power and get incentives from the utilities for their change in load pattern. Consumers are also benefited with the reduced energy charges on the consumed energy during these periods.
Models for load forecasting and demand response
Increasing pressure on the utilities to accommodate energy efficiency, load management and progress in advanced technology has led to transformations of existing grids into smarter grids. With the development of Smart Grid Technology and the integration of smart meters it is possible to control the equipment installed at the consumer site. Creating awareness among the end- users to participate in load management programs instead of capacity addition is the best solution for maintaining the stability in the grid. Utilities can also encourage consumer participation in load control activities. They can ensure that power is given to a consumer during his priority time. For this, loads have to be categorized, prioritized and then considered for load shedding so that revenue loss and social impacts of load shedding are minimized. It would be beneficial if a consumer's load is not completely shed during load shedding. Amount of power that is shed from a consumer can be limited and consumers can be allowed to adjust their loads based on the availability of power and get incentives from the utilities for their change in load pattern. Consumers are also benefited with the reduced energy charges on the consumed energy during these periods. Review of the recent research work shows that demand response and load forecasting play an important role to relieve the power system from economic and environmental constraints. Various approaches have been used in the past for developing different demand response and forecasting methodologies including neural networks, fuzzy logic and statistical techniques. These methodologies fluctuate in complication, suppleness, and information necessity. In addition, statistical methods such as time series, regression, and state space methods have large numerical deviation in the predicted load series. In general, for accurate modeling of nonlinear and undecided type of load behavior, artificial intelligence-based techniques are employed. Also, these methods concentrate mainly on ordinary system conditions. However, proposing the possible Demand Response strategies to maintain power system security constraints in unpredicted turbulences pose a serious challenge. In the undertaken research, a novel load forecasting method using hybrid Genetic Algorithm Support Vector Regression model has been proposed. The forecast error is around 1-2%. The second part of the work focuses on formulation of demand response strategies based on time of the day and load prioritization. A Unique grading method has been proposed to prioritize the loads and load management during power deficiency by controlling the loads individually using different optimization techniques. The performance of three well recognized population based meta-heuristic algorithms such as Genetic Algorithm, Ant Colony Optimization and Particle Swarm Optimization, to solve load management at the consumer level in the Smart Grid environment were examined in terms of their efficiency, effectiveness and consistency in obtaining the optimal solution. In the last part of the work the Demand Response model for residential load is proposed to minimize the energy cost of the electricity usage by shifting the loads from peak period to off-peak period with the help of intelligent techniques such as Artificial Bee Colony Algorithm.
Molecularly imprinted PEDOT on carbon fiber paper electrode for the electrochemical determination of 2,4-dichlorophenol
2,4-DCP; Conducting polymer; Electrochemical sensor; Molecularly imprinted polymers; PEDOT
A highly selective electrochemical sensor has been developed for the determination of the pesticide molecule, 2,4-dichlorophenol (2,4-DCP) using molecularly imprinted conducting polymer. 2,4-dichlorophenol imprinted polymer films were prepared by electropolymerising 3,4-ethylenedioxythiophene (EDOT) on surface of carbon fiber paper electrode (CFP) in presence of 2,4-dichlorophenol. Electrochemical over-oxidation was carried out for the controlled release of 2,4-DCP templates and to generate definite imprinting sites. Surface morphology of the imprinted electrode was analysed by Scanning Electron Microscopy-Energy Dispersive X-ray Spectrometry, Fourier Transform Infrared and Raman spectroscopy. In optimized conditions, the voltammetric sensor gave a linear response in the range of 0.21 nM 300 nM. The significantly low detection limit (0.07 nM) demonstrates the ultra-low sensitivity of the method. The imprinted sensor displayed higher affinity and selectivity towards the target 2,4-DCP over similar structural analogical interference than the non-imprinted sensor. MIP sensor was efficaciously employed for the selective determination of 2,4-DCP in real samples of water. 2020 Elsevier B.V.
Maria C G A.; K B A.; Rison S.; Varghese A.; George L.
https://doi.org/10.1016/j.synthmet.2020.116309 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078102638&doi=10.1016%2fj.synthmet.2020.116309&partnerID=40&md5=0532be10f01ff98f21479ee56a45b625
Maria C G A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; K B A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Rison S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India, Christ Academy Institute for Advanced Studies, Christ Nagar, Begur - Koppa Road, Bengaluru, 560 083, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; George L., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India
The Effect of Temperature Modulation on the Onset of Rayleigh-Benard Convection in a Dielectric Couple Stress Fluid with Maxwell-Cattaneo Law
A Review of Algorithms for Mental Stress Analysis Using EEG Signal
Brain signal; EEG; Stress classification
Mental stress is an enduring problem in human life. The level of stress increases exponentially with an increase in the complexity of work life. Hence, it is imperative to understand the causes of stress, a prerequisite of which is the ability to determine the level of stress. Electroencephalography (EEG) has been the most widely used signal for understanding stress levels. However, EEG signal is useful only when appropriate algorithms can be used to extract the properties relevant to stress analysis. This paper reviews algorithms for preprocessing, feature extraction and learning, and classification of EEG, and reports on their advantages and disadvantages for stress analysis. This review will help researchers to choose the most effective pipeline of algorithms for stress analysis using EEG signals. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Maria S.; Chandra J.; Banerjee B.; Rangaswamy M.
Smart Innovation, Systems and Technologies, Vol-251, pp. 561-568.
Springer Science and Business Media Deutschland GmbH
Maria S., Department of Computer Science, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Chandra J., Department of Computer Science, CHRIST (Deemed to be University), Hosur Road, Bangalore, India; Banerjee B., Institute for Intelligent Systems, and Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN, United States; Rangaswamy M., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Bangalore, India
Synthesis and Characterization of Carbon Nanomaterial Derived from Anthracite
Anthracite; Carbon nanotubes; Cyclic Voltammetry; FTIR; XRD
Among various storage devices, carbon based supercapacitors grabs the recent trends in the electronic devices. The present research work describes the synthesis of carbon nanomaterials derived from anthracite by using staudenmaier method. Anthracite was used as a precursor because of its high carbon content. The structural and chemical complex formation carried out by using XRD and FTIR confirms the formation of CNT's. The calculated value obtained from the XRD peaks confirms the formation of multilayer carbon nano-materials. The electrode was prepared by coating synthesized CNT on copper rod. The electrochemical performance of prepared working electrode was carried out by using cyclic voltammetric performance. Electrode characterization was performed for different scan rates 10, 20, 30 and 50 mV/sec in a potential window from-0.08 to 0.2V. The CV curves represents symmetric nature which imply that electrode material have stable capacitive process. 2019 Elsevier Ltd.
Materials Today: Proceedings, Vol-24, pp. 2352-2357.
https://doi.org/10.1016/j.matpr.2020.03.764 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088018096&doi=10.1016%2fj.matpr.2020.03.764&partnerID=40&md5=f69f8109b260cb8b61c28bf75e9dcc3f
Maria S., Department of Physics, Christ Deemed to Be University, Bengaluru Karnataka, 560029, India; Singh S., Department of Physics, Christ Deemed to Be University, Bengaluru Karnataka, 560029, India; Pandey M., Department of Physics, Christ Deemed to Be University, Bengaluru Karnataka, 560029, India; Manoj B., Department of Physics, Christ Deemed to Be University, Bengaluru Karnataka, 560029, India
Facile synthesis of nickel nanoparticles and its efficient dye degradation
CTAB; Effluent; Hydrazine; Nanoparticles; Nickel; Photocatalytic degradation
The present investigation involves the synthesis of nickel (Ni) nanoparticles (NPs) by the chemical reduction of nickel chloride using hydrazine hydrate without the need for an inert atmosphere from an external source. The photocatalytic activity, structure and morphology of the NPs were studied by employing UV-Visible (UV-Vis) spectroscopy, powder X-ray diffraction (PXRD) and transmission electron microscopy (TEM). Degradation of methylene blue(MB) and rhodamine B(Rh-B) dyes using Ni NPs was investigated to see the feasibility in degrading these dyes from polluted water at low cost. Ni NPs showed a good photocatalytic activity of 84.1% under visible light for the degradation of MB when compared to Rh-B which showed an efficiency of 47.3 %. 2020 World Research Association. All rights reserved.
Research Journal of Chemistry and Environment, Vol-24, No. 12, pp. 81-85.
Maria S.A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; James A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Datta R., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India
Road-Traffic Congestion in Bengaluru : Psychological and Social Consequences
The study investigated the commuting experiences of frequent travelers during congestion using a three-phase sequential exploratory design. Using semi-structured interviews, phase-1 explored the experiences of a sample of ten (4 women and 6 men) regular commuters on Bengaluru's congested roads. Thematic analysis revealed that psychological experiences due to travel adversities during congestion generated negative affect that narrowed thought-action repertoire of the commuters into fight or flight responses. Fight responses caused negative road occurrences that intensified travel adversities further, creating a vicious cycle showing a non-linear loop. Social consequences included challenges for personal time and activities, family time, health and health care activities, work, social, community, and recreational activities, increase of virtual socialization, and social Darwinism. In phase 2, a check-list of psychological consequences was developed based on the thematic analysis. Phase 3 statistically validated the vicious cycle in a sample of 190 (87 women and 103 men) commuters using structural equation modelling. The model substantiated the probability of the vicious cycle. Based on the model, a mathematical model was developed that could be used to test the non-linear relationship between the components of the vicious cycle.
Feature extraction of optical character recognition: Survey
Character acknowledgment; Feature extraction; Handwritten; OCR
Optical Character Recognition is still prevailing even after many decades of implementation. The challenges faced here are increasing day by day so as its applications. From Punched cards to Handwritten Text, from images to video, from uniform font to universal font, from English text to Global language, from researchers to visually handicapped are the transformations obtained from an era of the 1980s to 2010. This paper has covered the advancement of acknowledging the characters, how are features are extracted, various methodologies used and more importantly what is the use of OCR. Research India Publications.
International Journal of Applied Engineering Research, Vol-12, No. 7, pp. 1129-1137.
Marial A., Computer Science Department, Christ University, Bangalore, Karnataka, India; Jos J., Computer Science Department, Christ University, Bangalore, Karnataka, India
Electrochemical deposition for metal organic Frameworks: Advanced Energy, Catalysis, sensing and separation applications
Electrocatalysis; Electrochemical deposition; Energy storage; Metal-organic framework; Surface modification; Thin film
The advent of metalorganic frameworks has gathered ever-increasing attention owing to their versatility, unparalleled porosity, tuneability, and rich topography. The need for an efficient synthetic method and the trending appeal for thin film MOFs has brought in huge data on electrochemical deposition techniques. Thin films have immense applications in the field of electronics (including energy devices such as batteries and supercapacitors), sensors, catalysis, and as liquid/gas separation devices. Here, the electrodeposition method requires no pre-treatment step, allows miniaturization, a homogeneous film with desirable thickness, and is observed to be an eco-friendly method. The limited number of articles focusing on the supremacy of the technique has motivated the authors to collectively summarize the scattered data. To limit the discussion to reasonable bounds, the article focuses on a critical comparison of electrodeposition techniques with other synthetic methods, and different types of electrodeposition methods, and familiarize them with the various electrodeposited MOF-composite designs. Finally, we discuss extensively the existing as well as future applications. This will encourage future researchers to exploit this electrochemical technique for designing & developing newer MOF films and similar next-generation materials which are energy-efficient, rapid, and accurate while in use. This review article hopes to list out significant advances in the area to the advantage of both commercial and academic aspects. 2023 Elsevier B.V.
Journal of Electroanalytical Chemistry, Vol-937
https://doi.org/10.1016/j.jelechem.2023.117417 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151733857&doi=10.1016%2fj.jelechem.2023.117417&partnerID=40&md5=a033923ea549d480ee8d2071245084a4
Mariella Babu A., CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Varghese A., CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
Factors Effecting on Work Values Towards Career Choices Among University Students
Anxiety; COVID-19 pandemic; Work values and career choices
The pandemic effect of COVID-19 triggered a global recession in the year 2020. The unpredictability that surrounds the coronavirus is the most challenging problem that many people must confront, particularly in terms of making decisions regarding their careers, considering the significant shift in employment opportunities. The purpose of this research is to investigate the influence anxiety and the Covid-19 pandemic have on work values and the reality of career choices among university students. A quantitative research methodology was applied to 110 respondents from a nearby institution to achieve the study's objective. This was done through online surveys and the snowball sampling technique. In order to acquire the findings, a data analysis using SPSS and PLS-SEM was carried out. It is evident from the study's findings that students work values are impacted by anxiety and the COVID-19 pandemic. Moreover, the findings support the hypothesis that anxiety and the COVID-19 pandemic influence students employment decisions. The findings of the study provide insight into the body of knowledge. The influence of anxiety and the COVID-19 pandemic on current work values among university students about career choices are examined, and recommendations are made to various stakeholders, such as policymakers, university management, and career counselors. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Marimuthu N.V.; Chethiyar S.D.M.; Arshad M.Z.; Devarajah K.; Damodaran Y.K.; Arshad M.A.
Springer Proceedings in Business and Economics, pp. 765-788.
Marimuthu N.V., School of Applied Psychology, Social Work and Policy, College of Arts and Sciences, Universiti Utara Malaysia, Sintok, Malaysia; Chethiyar S.D.M., School of Applied Psychology, Social Work and Policy, College of Arts and Sciences, Universiti Utara Malaysia, Sintok, Malaysia; Arshad M.Z., School of Business Management, College of Business, Universiti Utara Malaysia, Sintok, Malaysia; Devarajah K., Medical Officer UD48, Klinik Kesihatan Linggi, Negeri Sembilan, Port Dickson, Malaysia; Damodaran Y.K., School of Sociology and Social Work, Christ Deemed to Be University, Karnataka, Bengaluru, India; Arshad M.A., School of Business Management, College of Business, Universiti Utara Malaysia, Sintok, Malaysia
Thermoluminescence (TL) studies of quartz sample collected from Meghalaya for radiation dosimetry
gamma dose; Quartz; radiation dosimetry; thermoluminescence (TL)
This study focuses on the investigation of the TL behavior of the quartz sample that was collected from Khonglah, West Jaintia Hills District in Meghalaya. The sample was crushed into powdered sizes (10100 m) and heated to reset the trap structures prior to irradiation. Characterization techniques, such as XRD and EDS, were performed to analyze the structure and elemental composition of the prepared sample. The sample shows a trigonal structure with a hexagonal lattice arrangement. Intrinsic defects and impurity centers, such as Al, Mg, and Mn, were present in the sample. TL glow curve analysis was performed after gamma irradiation with different doses (1070 Gy). With a gamma dose of 50 Gy, the sample showed a well-resolved glow curve with four intense peaks at 201C, 238C, 302C and 350C. Deconvolution of the peaks was done by using CGCD software and calculation of different trap parameters like the order of kinetics (b), activation energy (E), and the frequency factors (s) of the fitted glow curve was performed by Peaks shape method. These results suggested that natural quartz from Meghalaya exhibits promising dosimetric characteristics due to its good TL response with gamma dose and can serve as a reliable and cost-effective material for personal and environmental radiation monitoring. 2026 Informa UK Limited, trading as Taylor & Francis Group.
Marngar, Akshibahunlang; Saji, Janita; Manners, Ovica; Pohlong Lamre, Rocky Maximillian; Dubey, Vikas
Radiation Effects and Defects in Solids;
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1080/10420150.2026.2626695 https://www.scopus.com/pages/publications/105030189653?origin=resultslist
Marngar A., Department of Physics, North-Eastern Hill University, Meghalaya, Shillong, India; Saji J., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST University, Bengaluru, India; Manners O., Department of Physics, North-Eastern Hill University, Meghalaya, Shillong, India; Pohlong Lamre R.M., Department of Physics, North-Eastern Hill University, Meghalaya, Shillong, India; Dubey V., Department of Physics, North-Eastern Hill University, Meghalaya, Shillong, India
Computational and experimental investigation on biological and photophysical properties of high yielded novel aryl-substituted pyrazolone analogue
Antibacterial activity; Antioxidant study; In vitro antifungal activity; Photophysical studies; Pyrazolones
A series of new aryl-substituted pyrazolone derivatives 5(a-h) were synthesised via the Baylis-Hillman acetate reaction with pyrazolones and tested for antifungal, antibacterial, and antioxidant properties in vitro. Among the tested molecules 5d and 5e show good in vitro antifungal and antibacterial activities due to the presence of fluorine, which enhances the absorption rate by increasing lipid solubility and improves the pharmacological activity. It is also evident from the results obtained from structure-activity relationship (SAR) studies. Further, the photophysical properties of synthesized compounds were theoretically estimated using the ab-intio technique. The ground state optimization and HOMOLUMO energy levels are calculated using the DFT-B3LYP-6-311 basis set. Using the theoretically estimated HOMOLUMO value, global chemical reactivity descriptor parameters are estimated, and the result shows that compounds 5d and 5e have a higher electronegative and electrophilicity index than other molecules. Overall results suggest that, fluorine substituted pyrazolone derivatives show good photophysical, SAR, and biological properties. 2022 Elsevier B.V.
Marrakkur V.; Sarojini B.K.; Madar M.; Dhanur S.-H.; Sridhara T.M.; Raj C.-G.-D.; Pavankumar H.; Savanur H.-M.; Shetty V.-R.; Naik L.
Journal of Molecular Structure, Vol-1276
https://doi.org/10.1016/j.molstruc.2022.134790 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144480170&doi=10.1016%2fj.molstruc.2022.134790&partnerID=40&md5=395fd6aaecd5e2ba2b73efc0ecc27585
Marrakkur V., Department of Chemistry, NMKRV College for Women, Bengaluru, 560063, India; Sarojini B.K., Department of Industrial Chemistry, Mangalore University, Mangalagangothri, Karnataka, 574199, India; Madar M., V.M.K.S.R. Vastrad Arts, Science and V.S. Bellihal Commerce College, Hungud, 587118, India; Dhanur S.-H., Department of physics, M S Ramaiah University of applied Science, Bangalore, 560054, India; Sridhara T.M., JSS Banashankari Arts and Commerce and S K Gubbi Science College, Karnataka, Vidyagiri, Dharwad, 580007, India; Raj C.-G.-D., Research Department of Chemistry, P.A College of Engineering, Nadupadavu, Karnataka, Mangalore, 574153, India; Pavankumar H., Department of Chemistry, P. C. Jabin Science College, Hubballi, 580004, India; Savanur H.-M., Department of Chemistry, P. C. Jabin Science College, Hubballi, 580004, India; Shetty V.-R., Department of Chemistry, NMKRV College for Women, Bengaluru, 560063, India; Naik L., Department of Physics and Electronics, CHRIST University, Bangalore, 560029, India
Photophysical and In Vitro-In Silico Studies on Newly Synthesized Ethyl 3-((3-Methyl-1-phenyl-1H-pyrazol-5-yl)oxy)-2-methyleneheptanoate
HOMOLUMO; in vitro and in silico biological activity; MESP; NBO; pyrazolones
Abstract: In the present work, the aryl-substituted pyrazolone derivative ethyl 3-((3-methyl-1-phenyl-1H-pyrazol-5-yl)oxy)-2-methyleneheptanoate (ETT) has been synthesized by the reaction of Baylis-Hillman acetate with pyrazolones and screened for their in vitro antifungal, antibacterial, and antioxidant properties. The molecule shows good in vitro antifungal and antibacterial activities due to the presence of pentane, which enhances the absorption rate by its increased lipid solubility and improves the pharmacological activity. It is also evident from the results obtained from structure-activity relationship (SAR) studies. In silico studies were conducted on the synthesized molecule, examining its interactions with DNA Gyrase, Lanosterol14 alpha demethylase, and KEAP1-NRF2 proteins. The results revealed strong binding interactions at specific sites. Further, the photophysical properties of synthesized compounds were theoretically estimated using the ab-intio technique. The ground state optimization, dipole moment, and HOMOLUMO energy levels are calculated using the DFT-B3LYP-6-31G(d) basis set. Using the theoretically estimated HOMOLUMO value, global chemical reactivity descriptor parameters are estimated, and the result shows the synthesised molecule has a highly electronegative and electrophilic index. NBO analysis proved the presence of intermolecular ON.H hydrogen bonds caused by the interaction of the lone pair of oxygen with the anti-bonding orbital. The results suggest that pentane-substituted pyrazolone derivatives show good photophysical and biological applications. Pleiades Publishing, Ltd. 2024.
Marrakkur V.; Sukanya G.; Al-Asbahi B.A.; Al-Hada N.M.; Kapavarapu R.; Naik L.
Russian Journal of Organic Chemistry, Vol-60, No. 7, pp. 1176-1185.
Marrakkur V., Department of Chemistry, NMKRV College for Women, Bengaluru, 560063, India; Sukanya G., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Al-Asbahi B.A., Department of Physics and Astronomy, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Al-Hada N.M., Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China; Kapavarapu R., Department of Pharmaceutical Chemistry and Phytochemistry, Nirmala College of Pharmacy, Atmakur, Mangalagiri Mandalm Andhra Pradesh, 522503, India; Naik L., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, India
NSS-ML: a Novel spectrum sensing framework using machine learning for cognitive radio IoT networks
5G communications; BAT algorithm; Cognitive radio; Spectrum sensing
A key component of cognitive radio systems is spectrum sensing, which reduces coexistence problems and maximises spectrum efficiency. However, the introduction of multiple situations with distinct characteristics brought about by 5G communication presents problems for spectrum sensing to support a wide range of applications with high performance and flexible implementation. Inspired by these difficulties, a new method with a multi-layer extreme learning machine optimised for bats is presented in this study. This technique makes use of a variety of input vectors, such as channel ID, energy, distance, and received signal intensity, to enhance user categorization and sensing capabilities. Moreover, we compare the proposed method with the state-of-the-art spectrum sensing approaches in order to evaluate its effectiveness in 5G situations, especially in healthcare applications. Evaluation metrics including channel detection probability, sensitivity, and selectivity are carefully examined. The findings unequivocally prove the suggested spectrum sensing approachs superiority over current methods and highlight its potential for smooth incorporation into a variety of 5G applications. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.
Marriwala N.K.; Shukla V.K.; Shanbhog M.; Panda S.; Kaushik R.; Rathore D.
International Journal of Information Technology (Singapore), Vol-16, No. 7, pp. 4599-4604.
Springer Science and Business Media B.V.
Marriwala N.K., Dept. of Electronics and Communication Engineering, University Institute of Engineering and Technology, Kurukshetra University, Haryana, Kurukshetra, India; Shukla V.K., Information Technology Head of Academics-School of Engineering Architecture Interior Design, Amity University, Dubai, United Arab Emirates; Shanbhog M., School of Sciences, Christ (deemed to be university), Delhi NCR Campus, Uttar Pradesh, Ghaziabad, India; Panda S., Dept. of Electrical, Electronics and Communication Engineering, GITAM School of Technology, Bengaluru Campus, Karnataka, Doddaballapura, India; Kaushik R., Dept. of Electronics and Communication Engineering, University Institute of Engineering and Technology, Kurukshetra University, Haryana, Kurukshetra, India; Rathore D., Dept. of Electronics and Communication Engineering, Guru Ghasidas Vishwavidyalaya, Bilaspur, India