Enhanced Stock Market Prediction Using Hybrid LSTM Ensemble
Stock market value prediction is the activity of predicting future market values so as to increase gain and profit. It aids in forming important financial decisions which help make smart and informed investments. The challenges in stock market predictions come due to the high volatility of the market due to current and past performances. The slightest variation in current news, trend or performance will impact the market drastically. Existing models fall short in computation cost and time, thereby making them less reliable for large datasets on a real-time basis. Studies have shown that a hybrid model performs better than a stand-alone model. Ensemble models tend to give improved results in terms of accuracy and computational efficiency. This study is focused on creating a better yielding model in terms of stock market value prediction using technical analysis, and it is done by creating an ensemble of long short-term memory (LSTM) model. It analyzes the results of individual LSTM models in predicting stock prices and creates an ensemble model in an effort to improve the overall performance of the prediction. The proposed model is evaluated on real-world data of 4 companies from Yahoo Finance. The study has shown that the ensemble has performed better than the stacked LSTM model by the following percentages: 21.86% for the Tesla dataset, 22.87% for the Amazon dataset, 4.09% for Nifty Bank and 20.94% for the Tata dataset. The models implementation has been justified by the above results. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 49-61.
Springer Science and Business Media Deutschland GmbH
Roy R.P., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Thiruthuvanathan M.M., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India
Enhanced supercapacitors and LPG sensing performance of reduced graphene oxide/cobalt chromate pigments for energy storage applications
CoCr2O4; Composite; rGo; Supercapacitors
It is imperative that an initial inquiry be conducted as soon as possible since the production of monolayer of carbon atoms (rGO) composites is the root cause of their poor performance in supercapacitor and LPG sensors. Here, an effort is undertaken to construct a cobalt chromate pigments-reduced graphene oxide (CoCr2O4/rGO) by solution combustion method for the supercapacitor and LPG sensor. The proposed method is efficient and easy in terms of its application to the production of CoCr2O4/rGO polycrystalline composite on a wide scale. Within the scope of this work is an investigation into the improved supercapacitor and LPG sensing behaviour of CoCr2O4/rGO polycrystalline composite. We have implemented a simple method that has been identified for mass-producing reduced graphene oxide. The Solution combustion technique was used, and it was successful in achieving this goal for the very first time. X-ray diffraction technique is used analyse crystallinity, phase, and structural investigation. The nature of gas sensing behaviour with a step function of LPG gas at 500 ppb was studied at room temperature for rGO, The CoCr2O4 pigments and 0.5CoCr2O4+0.5rGo polycrystalline composite samples. The gas response is maximum for 0.5CoCr2O4+0.5rGo polycrystalline composite in the order of 97% in compare with the reduced graphene oxide sample which shows the lowest sensitivity in the order of 26% on exposure of liquified petroleum gas (LPG). The recorded response and recovery times of 0.5CoCr2O4+0.5rGo polycrystalline composite is found to be 40 s and 52 s respectively in comparison to the rGO sample about 58 and 74 s respectively. By adding rGo to the material, the cyclic voltammetry (CV) findings demonstrate improved current density and area of CV loop with increased scan rate. In three-electrode reveals the system, a CoCr2O4-rGo material exhibits a specific capacitance of 226 F/g. Thus, the results reveals that rGo is contributing significantly to the enhancement of a supercapacitor's performance of CoCr2O4. 2023 Elsevier Ltd and Techna Group S.r.l.
Angadi V J.; Pasha A.; Molahalli V.; K Pattar V.; Kumar A.; Hegde G.; Prakash C.; Pandit B.; Sehgal S.; Ubaidullah M.
Ceramics International, Vol-49, No. 22, pp. 35333-35339.
https://doi.org/10.1016/j.ceramint.2023.08.206 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168727030&doi=10.1016%2fj.ceramint.2023.08.206&partnerID=40&md5=0706908f337c6f5ea33ffb463718aea5
Angadi V J., Department of Physics, P. C. Jabin Science College, Karnataka, Hubballi, 580031, India; Pasha A., Department of Physics, Ghousia College of Engineering, Karnataka, Ramanagara, India; Molahalli V., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; K Pattar V., Education Technology Unit, JNCASR, Jakkur, Karnataka, Bengaluru, 560064, India; Kumar A., Department of Chemistry, GLA University, Mathura, 281406, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Prakash C., School of Mechanical Engineering, Lovely Professional University, Punjab, Phagwara, 144411, India; Pandit B., Department of Materials Science and Engineering and Chemical Engineering, Universidad Carlos III de Madrid, Avenida de la Universidad 30, Legan, Madrid, 28911, Spain; Sehgal S., Division of Research Innovation, Uttaranchal University, Dehradun, India; Ubaidullah M., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
Enhanced technique for detection and prevention of phishing on websites
CORS; Heuristic function; Phishing; Public Repository; Python
Phishing is a kind of assault where cyber criminals trap individuals to gain access to someone's private data like credit card details, passwords, account details, etc. The false e-mails look shockingly genuine and even the Web pages where clients are requested to enter their data may look legitimate. Forgery of a website is a sort of online assault where the phishing person builds a duplicate of a true authorized site, with the objective of misguiding a client by fishing out data that could be utilized to dupe or instigate different assaults upon the victim. In this paper, a new technique is developed using the combination of CORS, Public Repository technique and Heuristic functions. This technique allows only authorized Domain to replicate the original website. Copyright 2019 American Scientific Publishers All rights reserved.
Journal of Computational and Theoretical Nanoscience, Vol-16, No. 45813, pp. 2614-2618.
https://doi.org/10.1166/jctn.2019.7939 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068539770&doi=10.1166%2fjctn.2019.7939&partnerID=40&md5=01e9814df9416be868351f1b8c6d310e
Prashanth Kumar P., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, 560029, India; Vinay M., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, 560029, India
Enhanced visible light harvesting in dye-sensitized solar cells through incorporation of solution-processable silver plasmons and anthracite-derived graphene quantum dots
Anthracite coal; Dye-sensitized solar cells; Graphene quantum dots; Linear sweep voltammetry; Open circuit voltage decay; Surface plasmon resonance
The major setback for the enhanced performance of DSSC is the narrow absorption window and the interfacial exciton recombination. Therefore, in this work, the photovoltaic performance of dye-sensitized solar cells has been improved by the synergistic effect of anthracite-derived graphene quantum dots and silver plasmons. GQD and Ag coupled photoanodes were fabricated by a facile solution processable process under room temperature. The as-fabricated DSSC TiO2/Ag/GQD (TAG) exhibited an enhanced power conversion efficiency of 10.5 % with a current density of 22.40 mAcm?2 measured under solar irradiation of 100 mWcm?2 with AM 1.5G. An enhancement surpassing 30.5 % was obtained for the champion cell when compared to the pristine TiO2 based DSSC. Furthermore, this study emphasizes developing a cutting-edge approach for the high-quality use of fossil fuel-derived graphene quantum dots in energy conversion systems, thereby encouraging the green conversion of fossil fuels and broadening the potential of anthracite coal's utilization in energy conversion applications. 2024 Elsevier Ltd
Rao A.A.; Narendhiran S.; Balachandran M.
https://doi.org/10.1016/j.mtphys.2024.101512 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198256901&doi=10.1016%2fj.mtphys.2024.101512&partnerID=40&md5=4bd0620f3064ce302c8d7a7b1996503c
Rao A.A., Department of Physics and Electronics, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Narendhiran S., Department of Physics and Electronics, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Balachandran M., Department of Physics and Electronics, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India
Enhanced visible light induced dye degradation and antibacterial activities of ZnO/NiO nanocomposite synthesized using Clitoria ternatea flower extract
Antibacterial activity; Clitoria ternatea; Dye degradation; Green synthesis; Nanocomposites; ZnO/NiO
In this study, ZnO/NiO Nanocomposites (NCs) were prepared using a rapid, simple and eco-friendly green synthesis method using medicinal flower extract of Clitoria ternatea and their visible light assisted dye degradation and antibacterial properties were investigated. The synthesised ZnO/NiO NCs were characterised by ultravioletvisible (UVVis) spectroscopy, Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), High resolution transmission electron microscopy (TEM) and Selected area electron diffraction (SAED) studies. XRD results revealed that ZnO/NiO NCs exhibit hexagonal wurtzite and cubic crystal structure with an average crystallite size of 18 nm. HRTEM images revealed roughly spherical and hexagonal morphology with an average particle size of 23 nm. The antibacterial activity of ZnO/NiO NCs examined against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) bacteria using well diffusion method indicated significant antibacterial activity. The photocatalytic activity of the ZnO/NiO NCs showed 83.4 % and 84.4 % of dye degradation efficiency, respectively against Bromophenol Blue (BPB) and Crystal Violet (CV) dye for 150 min under sun light irradiation. The result shows that the ZnO/NiO NCs investigated in this study exhibited a strong potential agent and was successful in the removal of dye from wastewater. 2022 Elsevier B.V.
Prabhu S.; Daniel Thangadurai T.; Indumathi T.; Kalugasalam P.
Inorganic Chemistry Communications, Vol-146
https://doi.org/10.1016/j.inoche.2022.110077 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140488269&doi=10.1016%2fj.inoche.2022.110077&partnerID=40&md5=b69f75c99503f13c20d048a5a32b84db
Prabhu S., Department of Research and Development, Bharathiar University, Tamil Nadu, Coimbatore, India, Department of Physics, Hindusthan College of Engineering and Technology, Tamil Nadu, Coimbatore, India; Daniel Thangadurai T., Department of Chemistry, KPR Institute of Engineering and Technology, Tamil Nadu, Coimbatore, India; Indumathi T., Department of Chemistry, Christ (Deemed to be University), Karnataka, Bangalore, India; Kalugasalam P., Department of Physics, Anna University Regional Campus, Tamil Nadu, Coimbatore, India
Enhancement in air-cooling of lithium-ion battery packs using tapered airflow duct
Battery Thermal Management; Computational Fluid Dynamics; Lithium-ion Battery; Temperature Uniformity
Temperature uniformity and peak-temperature reduction of lithium-ion battery packs are critical for adequate battery performance, cycle life, and safety. In air-cooled battery packs that use conventional rectangular ducts for airflow, the insufficient cooling of cells near the duct outlet leads to temperature nonuniformity and a rise in peak temperature. This study proposes a simple method of using a converging, tapered airflow duct to attain temperature uniformity and reduce peak temperature in air-cooled lithium-ion battery packs. The conjugate forced convection heat transfer from the battery pack was investigated using computational fluid dynamics, and the computational model was validated using experimental results for a limiting case. The proposed converging taper provided to the airflow duct reduced the peak temperature rise and improved the temperature uniformity of the batteries. For the conventional duct, the boundary layer development and the increase in air temperature downstream resulted in hotspots on cells near the outlet. In contrast, for the proposed tapered duct, the flow velocity increased downstream, resulting in improved heat dissipation from the cells near the outlet. Furthermore, the study investigated the effects of taper angle, inlet velocity, and heat generation rate on the flow and thermal fields. Notably, with the increase in taper angle, owing to the increase in turbulent heat transfer near the exit, the location of peak temperature shifted from the exit region to the central region of the battery pack. The taper-induced improvement in cooling was evident over the entire range of inlet velocities and heat generation rates investigated in the study. The peak temperature rise and maximum temperature difference of the battery pack were reduced by up to 20% and 19%, respectively. The proposed method, being effective and simple, could find its application in the cooling arrangements for battery packs in electric vehicles. 2023 Y?ld?z Technical University. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). All Rights Reserved.
Satheesh V.K.; Krishna N.; Kushwah P.S.; Garg I.; Rai S.; Hebbar G.S.; Nair D.V.
Journal of Thermal Engineering, Vol-10, No. 2, pp. 375-385.
https://doi.org/10.18186/THERMAL.1448648 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190119850&doi=10.18186%2fTHERMAL.1448648&partnerID=40&md5=f42697379d4af1bde21af9218c68aa7e
Satheesh V.K., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Krishna N., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Kushwah P.S., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Garg I., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Rai S., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Hebbar G.S., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Nair D.V., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India
Enhancement of Accuracy Level in Parking Space Identification by using Machine Learning Algorithms
Accuracy; Computer Vision; Convolutional Neural Networks; Deep Learning; Machine Learning; Support Vector Machine
Parking space identification is a crucial component in the development of intelligent transportation systems and smart cities. Accurate detection of parking spaces in urban areas can significantly improve traffic management, reduce congestion, and enhance overall parking efficiency. This proposed model is focuses on enhancing the accuracy of parking space identification through the utilization of Support Vector Machine (SVM) algorithms. The proposed methodology involves the following steps. First, a dataset comprising labelled parking space images is collected and pre-processed to ensure optimal quality and consistency. Next, feature extraction techniques are applied to capture certain relevant spatial and textural information from the images in the dataset, enabling the creation of informative feature vectors. These feature vectors are then utilized to train a SVM model, which is well-known for its capability to handle complex classification tasks. To measure the effectiveness of the SVM-based approach, a comprehensive set of experiments is carried out using real-world parking data. The performance metrics is to analysis accuracy level of the parking space identification. Comparative analysis has been done by comparing the proposed SVM approach with other popular machine learning algorithmsto demonstrate the superiority. The results indicate that the SVM-based model achieves a significantly higher accuracy level in parking space identification compared to other existing algorithms. 2023 IEEE.
2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 595-600.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ICACRS58579.2023.10404454 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185373931&doi=10.1109%2fICACRS58579.2023.10404454&partnerID=40&md5=d6c76b583efaa5752d21a459696bc5fc
Diniz A.M., Department of CSE, CHRIST (Deemed to be University), India; Samanta D., Department of CSE, CHRIST (Deemed to be University), India; Jayapandian N., Department of CSE, CHRIST (Deemed to be University), India
Enhancement of Agriculture Feeder Performance by Optimal Sizing and Placing of Solar PV Tree through AEO-Based Optimization Technique
Agriculture Feeder; Artificial Eco-System Algorithm; Renewable Energy; Solar PV System; Solar Tree
Electrical demand, which makes up a large share of the overall power market, agriculture at the top of the list of priorities. To provide end users with a dependable and high-quality supply via various feeders and renewable energy sources, distribution generations are now being developed. In recent years, solar PV systems have been used to meet the demands of numerous applications, including boosting the efficiency of distribution networks. This paper presents the system with effect ive optimization method like Artificial Eco-System based Optimization Technique for identification of the best location to install distribution generation and the optimum size to minimize feeder losses. To meet service expectations, the integration of a solar PV system is swapped out for a solar tree in this suggested work. A 28-bus Indian agriculture feeder is considered for better understanding the proposed algorithm. MATLAB software is used for implementing the proposed optimization technique and CREO-2.0 is used for designing the 3-dimensional solar PV tree. 2023 by the Kamal Kumar U and Varaprasad Janamala.
International Journal of Electrical and Electronics Research, Vol-11, No. 3, pp. 781-787.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.37391/ijeer.110322 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172452493&doi=10.37391%2fijeer.110322&partnerID=40&md5=eaba1cbc9d79d8b2eb460f5349989e50
Kamal Kumar U., Dept. of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), KA, Bangalore, 560 074, India; Janamala V., Dept. of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), KA, Bangalore, 560 074, India
Enhancement of coal nanostructure and investigation of its novel properties
Crystalline carbon; Fungal leaching; Low grade coal; Nano carbon
Coal is a mineral and is extensively used as a solid fuel in developing nations and has a sizeable share in the global fossil fuel reserve. Utilization of this resource generates excess spoil and large volume of low grade waste to the environment. In recent years there have been serious research on enhancing its value and exploring the utility of this carbonaceous material to novel carbon materials. The Minerals, Metals & Materials Society 2018.
Minerals, Metals and Materials Series, Vol-Part F6, pp. 599-607.
Manoj B., Department of Physics, Christ University, Bangalore, 560029, Karnataka, India
Enhancement of efficiency of military cloud computing using lanchester model
Cloud computing; Dynamic load balancing; Honey bee behavior; Lanchester model; Military; Weighted round robin
Cloud computing is a technology that uses centrally processed computing resources over the Internet by a large number of users. Because many requests are concentrated on cloud servers, they must be properly distributed to avoid degradation of quality. Load balancing categorizes requests from users according to established algorithms and assigns appropriate virtual machines. Because load balancing algorithms are developed according to the cloud's usage environment, various algorithms are being utilized. Recently, government agencies are also interested in introducing cloud technologies beyond private sectors. Many militaries have selected Cloud as its basic task to apply new technologies such as AI to military operations. However, there is no precedent for military cloud development, and the lack of doud technology research considering the operational environment has delayed the progress of cloud adoption. The algorithm presented by this paper makes the combat power, which varies according to the importance of the operation, an important variable. This variable makes each user's access to computing resources different. Although similar to other dynamic algorithms, the impact of priorities is so big that the degree of imbalance between tasks was higher. 2020 IEEE.
Proceedings of the 4th International Conference on IoT in Social, Mobile, Analytics and Cloud, ISMAC 2020, pp. 960-964.
Hyeon C., Christ(Deemed to Be University), Department of Computer Science, Bangalore, India; Aurelia S., Christ(Deemed to Be University), Department of Computer Science, Bangalore, India
Enhancement of free convection from horizontal-base straight-fin heat sink by partial shrouding
Conduction; Electronic cooling; Extended surfaces/fins; Heat and mass transfer; Heat exchangers; Heat sink; Heat transfer enhancement; LED cooling; Natural and mixed convection; Natural convection; Rectangular fin; Shroud plate; Thermal systems
This work presents a simple method to improve natural convection heat transfer performance of horizontal-base straight-fin heat sink by adding partial shroud plates on top of the heat sink at both ends. Experiments are conducted in conjunction with a detailed three-dimensional (3D) computational study. The numerical model is validated using experimental results. With partial shrouding, the modification and effective utilization of airflow surrounding the heat sink leads to significant heat transfer enhancement. The installation of shroud plates effectively improves the mass flowrate of air admitted into the fin channel. Further, the airflow drawn above the heat sink dissipates heat from the upper surface of the shroud plate. There is also a significant heat dissipation from the lower surface of the shroud plate which is exposed to cold air drawn from the side-end of the heat sink. The heat transfer from the existing optimal conventional heat sink is improved by 17% with the introduction of shroud plates. An optimal width of the shroud plate is identified to exist for the maximum heat transfer. The percentage enhancement in heat transfer achieved by partial shrouding increases with a decrease in the fin height and with an increase in the fin spacing. The proposed compact heat sink design would be of application in enhancing passive heat dissipation from light-emitting diode (LED) lights and other electronic devices, especially when size constraints exist. Copyright 2020 by ASME
Journal of Thermal Science and Engineering Applications, Vol-12, No. 3
American Society of Mechanical Engineers (ASME)
https://doi.org/10.1115/1.4046021 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091516430&doi=10.1115%2f1.4046021&partnerID=40&md5=6426a6bc96e3d4577e85f70c7c99ce02
Nair D.V., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India
Enhancement of Image Classification Using Transfer Learning and GAN-Based Synthetic Data Augmentation
deep learning; generative adversarial networks; image classification; plastic bottle; transfer learning
Plastic bottle recycling has a crucial role in environmental degradation and protection. Position and background should be the same to classify plastic bottles on a conveyor belt. The manual detection of plastic bottles is time consuming and leads to human error. Hence, the automatic classification of plastic bottles using deep learning techniques can assist with the more accurate results and reduce cost. To achieve a considerably good result using the DL model, we need a large volume of data to train. We propose a GAN-based model to generate synthetic images similar to the original. To improve the image synthesis quality with less training time and decrease the chances of mode collapse, we propose a modified lightweight-GAN model, which consists of a generator and a discriminator with an auto-encoding feature to capture essential parts of the input image and to encourage the generator to produce a wide range of real data. Then a newly designed weighted average ensemble model based on two pre-trained models, inceptionV3 and xception, to classify transparent plastic bottles obtains an improved classification accuracy of 99.06%. 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Chatterjee S.; Hazra D.; Byun Y.-C.; Kim Y.-W.
https://doi.org/10.3390/math10091541 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130716749&doi=10.3390%2fmath10091541&partnerID=40&md5=15acc758ded786cff957f0a6b890f529
Chatterjee S., Department of Computer Engineering, Jeju National University, Jeju, 63243, South Korea; Hazra D., Department of Computer Engineering, Jeju National University, Jeju, 63243, South Korea; Byun Y.-C., Department of Computer Engineering, Jeju National University, Jeju, 63243, South Korea; Kim Y.-W., Centre for Digital Innovation, CHRIST University (Deemed to be University), Karnataka, Bengaluru, 560029, India
Enhancement of mechanical properties of epoxy/halloysite nanotube (HNT) nanocomposites
Epoxy; Halloysite nanotube (HNT); Mechanical properties; Solution casting; Ultrasonication
The particulate filled epoxy composites show lower mechanical properties than neat composites due to lack strength of uniform dispersion of particles leading to poor in interfacial strength between matrix and fillers. In this study, ultrasonification dispersion technique is employed to achieve a homogenous dispersion of halloysite nanotubes (HNTs) in epoxy resin. The nanocomposites are fabricated by solution casting method and specimens are prepared as per ASTM standards. The various test has been conducted as per ASTM procedure to evaluate the mechanical properties viz. density, hardness, tensile, flexural, ILSS and impact strength of the nanocomposites consisting of different weight (wt)% of HNTs varying in the range of 04 with the interval of 1. As per the experimental investigation, the selected dispersion techniques enhances the mechanical properties of the nanocomposite by the loading of HNT. Further, the study revealed that the 3wt% of HNT with ultrasonic homogenized nanocomposite shows superior mechanical strength as compared to other nanocomposites. Hence it is evident that the properties of the nanocomposite depends on the quantity of filler present and dispersion condition. The dispersion condition and fractured surfaces are analyzed through the SEM micrographs. 2019, Springer Nature Switzerland AG.
Ravichandran G.; Rathnakar G.; Santhosh N.; Chennakeshava R.; Hashmi M.A.
https://doi.org/10.1007/s42452-019-0323-9 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068268329&doi=10.1007%2fs42452-019-0323-9&partnerID=40&md5=bc5bb504748b5ba25b346ea5f7cd25fd
Ravichandran G., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Kanminike, Kumbalgodu, Mysore Road, Kengeri, Bangalore, 560074, Karnataka State, India; Rathnakar G., Department of Mechanical Engineering, ATME College of Engineering, Mysore, 570028, Karnataka State, India; Santhosh N., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Kanminike, Kumbalgodu, Mysore Road, Kengeri, Bangalore, 560074, Karnataka State, India; Chennakeshava R., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Kanminike, Kumbalgodu, Mysore Road, Kengeri, Bangalore, 560074, Karnataka State, India; Hashmi M.A., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Kanminike, Kumbalgodu, Mysore Road, Kengeri, Bangalore, 560074, Karnataka State, India
Enhancement of nitrogen assimilation and photosynthetic efficiency by novel iron pulsing technique in Oryza sativa L. var Pankaj
Growth; Iron-pulsing; Nitrogen assimilation; Photosynthesis; Rice
Rice is a major food crop. Due to urbanization and climate change, rice production is declining, posing a threat to the increasing food demand. For this, a modified technique of priming is used to enhance plant vigor. In the present study an endogenous rice cultivar was treated with two different iron salts for 72 h and grown for 14 days in nutrient solution. This increased the iron content of the samples which further escalated the photosynthetic efficiency and carbon assimilation in the treated plants. Photosynthesis being correlated to nitrogen assimilation, nitrogen assimilation intermediates and protein content were also elevated in treated plants. Plants showed no symptoms of stress as evident from low malondialdehyde content and increased antioxidant enzymes activity. From this study it can be inferred that, treatment with iron during germination, helps to trigger growth by facilitating photosynthesis and nitrogen assimilation. 2019 Elsevier Masson SAS
Dey S.; Kundu R.; Gopal G.; Mukherjee A.; Nag A.; Paul S.
Plant Physiology and Biochemistry, Vol-144, pp. 207-221.
ISSN: 9819428; PubMed ID: 31586721; CODEN: PPBIE
https://doi.org/10.1016/j.plaphy.2019.09.037 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072768949&doi=10.1016%2fj.plaphy.2019.09.037&partnerID=40&md5=cd6510dcd9558a2951766fa567028553
Dey S., Centre of Advance Study, Department of Botany, University of Calcutta, Kolkata, 700019, India; Kundu R., Centre of Advance Study, Department of Botany, University of Calcutta, Kolkata, 700019, India; Gopal G., Centre for NanoBiotechnology, VIT University, Vellore, 632014, Tamil Nadu, India; Mukherjee A., Centre for NanoBiotechnology, VIT University, Vellore, 632014, Tamil Nadu, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India; Paul S., Department of Life Sciences, Presidency University, Kolkata, 700073, India
Enhancement of Reflected Faces on Semi-reflecting Surfaces
Haze free image; Medium Transmission Map; Reflected face images
Face recognition is interesting research area in computer vision. This paper proposes to enhance faces reflected on semi reflecting surfaces such as glass window, glass screens or any other mirror like surfaces. Visibility or clarity of reflected image is depending on the reflecting ability of material surface on which reflection occurs. Other than mirror surfaces, majority of reflected images are less visibility. So recognition of reflected face is a challenge in the proposed method. This paper addresses enhancement of reflected face image. Estimating atmospheric light and medium transmission map, recover haze free image. Apply CLAHE i.e., adaptive histogram equalization by limiting contrast to obtain enhanced reflected face image. 2019 IEEE.
Suresha M.; Madhusudhan S.; Danti A.; Naik H.T.
Proceedings of the IEEE International Conference Image Information Processing, Vol-2019-November, pp. 205-209.
Suresha M., Kuvempu University, Department of Computer Science, Shankaraghatta, India; Madhusudhan S., Kuvempu University, Department of Computer Science, Shankaraghatta, India; Danti A., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, India; Naik H.T., Presidency College, Department of Computer Applications, Bengaluru, India
Enhancement of resilience an quality of life using strength based counselling and the mediating role of parental bonding in adolescents with type 1 diabetes
The current study was an attempt to understand the socio-demographic profile of newlineadolescents with type 1diabetes, the relationship between variables such as resilience, quality of life, parental bonding and the mediating role of parental bonding. It was also aimed to understand parent s perception of the adolescent s resilience and quality of life and their newlineexperiences. In phase 1, 100 adolescents/ newlinechildren (M=40, F=60, Age 10-18years) with an newlineexisting diagnosis of type 1 diabetes and their parents were enrolled from two hospitals and one clinic in Bangalore. The adolescents were administered Paediatric Quality Of Life for Diabetics (PedsQL) (Child and Adolescent Form), The Resilience Scale for Youth (CYRM), The Parental Bonding Instrument PBI (Father and Mother Form ). Parents were administered the consent form, demographic data sheet and parent version of resilience and quality of life.All scales were translated and back translated. In Phase 2 of the study, an intervention model based on the principles of strength newlinebased counselling to enhance resilience and quality of life (SBCTD1) was developed and newlineused. Qualitative interviews were conducted to understand the experiences of parents of newlinechildren/adolescents having type 1 diabetes. These interviews were tape recorded. 50 newlineadolescents from Phase1, were randomly assigned to the intervention group (n=25) and the control group (n=25). For the intervention group after going through the sessions the Resilience Scales and The Paediatric Quality of Life scales were administered after one and three months respectively. HbA1c values were also collected again after three months of newlineintervention. Control group received regular care and treatment at the center and were not newlineexposed to the model developed for the study.
Enhancement of substitution voices using F1 formant deviation analysis and DTW based template matching
ALT speech; DTW; F0 contour; F1 Formant deviation; Healthy Speech; Linear Prediction Cepstral coefficients (LPCC)
Speech is the best way to express the thoughts and feelings among the human beings. But for many reasons the sound produced by human beings becomes disordered voice and termed with many names based on the cause as stammering, dys-theria, apraxia and so on. In the above mentioned few examples, the voice becomes disordered because of the underperformance of body's organ. The larynx is removed in some human beings because of cancer. For them an artificial larynx transducer (ALT) is used to produce the sounds. The above all sounds are categorized as disordered voice and the sound produced by ALT is also called as Substitution voice. In this paper, a method is used to improve the quality of substitution voice produced by ALT. Algorithm is developed to estimate undesired audio components from the device output and remove the same using Non Linear Spectral Subtraction (NLSS) technique. Further, Fundamental (F0) contour and novel parameter F1 formant deviation of healthy speech (HE) and ALT speech are determined. The above two parameters are estimated and stored during the training phase of the system. In the test phase, the above mentioned parameters are estimated and they are used to scale down the database to reduce overall enhancement time. Next step is template matching done by mapping test data with training data using Dynamic Time Warping (DTW) Technique. The data base with least distance estimation is recognized as the utterance and the same is played back. 2017 IEEE.
Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2017, Vol-2018-January, pp. 352-356.
https://doi.org/10.1109/WiSPNET.2017.8299777 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046483637&doi=10.1109%2fWiSPNET.2017.8299777&partnerID=40&md5=dc929274f9a5e07b6929035ef26df738
Inbanila K., Department of ECE, Faculty of Engineering, Christ University, Bangalore, India; Krishnakumar E., Department of ECE, Visvesvarya Technological University, East Point College of Engineering and Technology, Bangalore, India
Enhancement of tensile strength and elastic modulus using bio-waste based carbon nanospheres doped polymer nanocomposites
Bio-waste; Carbon nanospheres; Elastic modulus; Polymer nanocomposites; Tensile Strength
The Carbon Nano Spheres (CNS) derived from areca nuts were synthesized from pyrolysis process and were used as fillers for fabrication of polymer nano composite materials. The filler materials are loaded in 0.05%, 0.1% and 0.5% loading percentages. The optimum sample was subjected to heat treatment. The tensile strength, elastic modulus and % of elongation were investigated for all samples. The Scanning Electron Microscope (SEM) images revealed the morphological features of optimum samples and hence the uniform dispersion of CNS in polymer matrix. The 0.1% samples showed 10% improvement in Ultimate Tensile Strength (UTS) and 24% improvement in Elastic modulus compared to bare epoxy material. When 0.1% samplewas subjected to heat treatment under 200C the UTS improved by 23%. Hence, CNS reinforced composite materials exhibited unique properties like high strength, less weight and low cost making them suitable for various structural applications such as aerospace, automotive, construction, and electronics industries. The Polymer Society, Taipei 2024.
Hegde G.; Bhavana H.T.; Maligi A.S.; Vandana M.; Hegde G.; Hegde G.
Journal of Polymer Research, Vol-31, No. 6
Springer Science and Business Media B.V.
Hegde G., Department of Instrumentation and Applied Physics, Indian Institute of Science, Bengaluru, 560012, India; Bhavana H.T., Department of Instrumentation and Applied Physics, Indian Institute of Science, Bengaluru, 560012, India; Maligi A.S., Department of Electrical and Electronics, B.M.S. College of Engineering, Bull Temple Road, Karnataka, Bengaluru, 560019, India; Vandana M., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Karnataka, Bangalore, 560029, India, Department of Chemistry, CHRIST (Deemed to be University), Hosur Rd, Karnataka, Bangalore, 560029, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Karnataka, Bangalore, 560029, India, Department of Chemistry, CHRIST (Deemed to be University), Hosur Rd, Karnataka, Bangalore, 560029, India; Hegde G., Department of Aerospace Engineering, Indian Institute of Science, Bengaluru, 560012, India
Enhancement of the Electrochemical behaviour of Carbon Black via a defect induced approach
Amorphous carbon; Carbon black; Defect ratio; Oxygen functional groups; Supercapacitors
In order to address the rising global concern of energy storage, carbon-based materials have established themselves due to their distinct features. Despite the demand for the fabrication of supercapacitors from natural, inexpensive carbonaceous materials is on the rise, the intrinsic disorders present in such materials hinder their performance, and hence, tuning these defects can aid in the improvement of their electrochemical performance. In this study, carbon black is introduced with defects in the form of oxygen functional groups via oxidation and thermal exfoliation and the impact on its electrochemical performance is studied. Careful tuning of the type of oxygen functional moieties at the basal plane of the carbon lattice is observed to be the contributing factor for the electrochemical behaviour. The distortion in the graphitic lattice caused by the epoxy and hydroxyl groups alters the specific surface area, porosity, and thermal stability, facilitating easier ion diffusion rates and enhanced faradaic reactions. The obtained specific capacitance of the thermally exfoliated carbon black is as high as 246.49 Fg?1 in a three-electrode system and 82.85 F/g in a two-electrode setup, owing to an energy density of 5.63 Whkg?1 and a power density of 189.75 Wkg?1. It has also exhibited excellent cyclic stability and capacitance retention up to 4000 cycles. The equivalent series resistance is found to decrease from 5.67 to 4.96 ? making the material conductive. As a result, the electrochemical properties of carbon black can be enhanced by tuning the oxygen functional groups, making it a promising supercapacitive material. Graphical Abstract: (Figure presented.). Qatar University and Springer Nature Switzerland AG 2024.
Emergent Materials, Vol-7, No. 4, pp. 1387-1400.
Mathew E.E., Department of Physics & Electronics, Christ (Deemed to Be University), Bangalore, 560029, India; B M., Department of Physics & Electronics, Christ (Deemed to Be University), Bangalore, 560029, India
Enhancement of the thermal conductivity of a near room temperature magnetocaloric composite using graphene-like hybrid nanosheets derived from organic waste
Composites; Heusler alloys; Magnetocaloric effect; Martensitic transformation; Thermal conductivity
Polymer matrix composites, fabricated to counter the inherent brittleness of magnetocaloric Heusler alloys, suffer from low thermal conductivity. Here, we demonstrate a low-cost, scalable route towards developing thermally conductive, mechanically robust near-room-temperature magnetocaloric composites by incorporating graphene-like hybrid nanostructures chemically synthesized from discarded sugarcane. Micron-sized particles obtained by manually grinding Ni50.2Mn36.7Sn13 ribbons possessing a strong magnetostructural transformation near room-temperature were chosen as the active magnetocaloric fillers. Both the functional fillers were incorporated into a polysulfone matrix by solution casting. Large values of isothermal entropy change ? 0.43 and -0.46 J/kg.K were observed for a ?H = 2T, driven by two successive first and second-order transformations within the alloy fillers. Additionally, an enhanced value of the in-plane thermal conductivity ? 3.06 0.4 W/m.K was observed in the composites owing to the formation of efficient thermal bridges/pathways by the graphene-like hybrid nanostructures, rendering them promising candidates for magnetic refrigeration applications. 2023 Acta Materialia Inc.
Goswami D.; Jana P.P.; Potnis G.; Kumbhakar P.; Ganguly D.; Chattopadhyay S.; Das J.
https://doi.org/10.1016/j.mtla.2023.101915 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173498257&doi=10.1016%2fj.mtla.2023.101915&partnerID=40&md5=688719d5bed9180dcad149ec832771c1
Goswami D., School of Nano-science and Technology, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721 302, India; Jana P.P., Materials Science and Technology Division, CSIR- National Institute for Interdisciplinary Science and Technology, Kerala, Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Uttar Pradesh, Ghaziabad, 201002, India; Potnis G., Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721 302, India; Kumbhakar P., Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721 302, India, Department of Physics and Electronics, Christ University, Karnataka, Bangalore, 560 029, India; Ganguly D., Rubber Technology Center, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721 302, India; Chattopadhyay S., School of Nano-science and Technology, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721 302, India, Rubber Technology Center, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721 302, India; Das J., School of Nano-science and Technology, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721 302, India, Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721 302, India