Simulation and Experimental Analysis of L-Section in Reinforced Cement Concrete: Uncertainties in Performance and Strength
subject: cyclic load; ductility; earthquake resilience; energy absorption; GFRP mesh; L-section; reinforced cement concrete; stiffness
description: The design and construction of reinforced cement concrete (RCC) flooring play a crucial role in the overall stability of a structure, particularly in regions prone to tectonic activity. RCC floors comprise various beams, including intermediate T-sections and specific L-sections at critical points such as corners and around staircases or lift openings. This paper identifies a key challenge in building frameworks to resist tectonic loads. It further explores the components of the structure that provide potential for interruption, capability, and the safe transfer of tectonic loading to the array connection, all while maintaining sufficient strength. The L-sections were experimented on using various grades of concrete and sizes to reinforce connections under diverse loading conditions. L-sections contribute to reducing floor height, solving economic and technical problems, and creating advanced composite connections that integrate the proposed structural system. The analysis was conducted both analytically and experimentally to assess methods to resist earthquake forces based on stiffness, building strength, and elasticity capacity. These approaches have been identified to safeguard buildings during substantial seismic events. The development of the L-section is detailed, highlighting the loading process and the capacity to overcome various structural challenges. 2024 by the authors. Licensee MDPI, Basel, Switzerland.
creator: Maddodi B.S.; Naik N.; Maddikeri P.K.; Chougule S.; Abdu S.M.; Narasimha D.B.; Dubey A.K.; Devesh S.
source: Engineering Proceedings, Vol-59, No. 1
publisher: Multidisciplinary Digital Publishing Institute (MDPI)
date: 2023-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 26734591
format: Online
language: English
type: Article
coverage: Maddodi B.S., Department of Civil Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Naik N., Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Maddikeri P.K., Department of Civil Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Chougule S., School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, 30332, GA, United States; Abdu S.M., Department of Civil Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Narasimha D.B., Department of Environment Impact Assessment, Horizon Ventures, Karnataka, Bengaluru, 560094, India; Dubey A.K., National Highways Authority of India, PIU Baghpat, Uttar Pradesh, Baghpat, 250609, India; Devesh S., Department of Business and Management, Christ (Deemed to be University), Yeshwantpur Campus, Nagasandra, Karnataka, Bengaluru, 5750073, India

India as a climate leader in the indo-pacific: challenges and opportunities
subject: climate change; climate leader; Indo-pacific; regional cooperation
description: The non-traditional security threats in the form of incessant floods, cyclones, and all-time rising sea levels in the Indo-Pacific region call for an integrated and constructive response led by a climate leader. Climate change is seen way beyond the lens of a mere environmental catastrophe having the potential to destabilize a nations economy and polity. The global state and non-state actors have acknowledged climate change to be an alarming global security threat. However, the failure of collective management of the climate crisis has mandated a responsible climate leader to monitor the mitigation efforts. In the context of initiatives like the National Solar Mission that envisages India to be a global leader in solar energy, the paper intends to weigh the possibilities for Indias role as a cogent climate leader in the Indo-Pacific region. It seeks to evaluate Indias climate leadership based on its green policies and assistance to Indo-Pacific countries. 2024 Indian Ocean Research Group.
creator: Joseph S.V.; Sadhasivam S.
source: Journal of the Indian Ocean Region, Vol-19, No. 3, pp. 255-277.
publisher: Routledge
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 19480881
format: Online
language: English
type: Article
coverage: Joseph S.V., Department of International Studies, Political Science and History, CHRIST (Deemed to be University), Bangalore, India; Sadhasivam S., Department of International Studies, Political Science and History, CHRIST (Deemed to be University), Bangalore, India

An Enhanced Automation Analysis for Structural Algorithm in Agro-Industries Using IoT
subject: agriculture; IoT; sensors; software; structural algorithm
description: The Internet of Things (IoT) based structural algorithm for automatic agriculture refers to the system of using powerful real-time data collected from a variety of sensors with software and analytics to autonomously manage agro-ecosystems. This algorithm can be used to monitor environments, analyze data and use this knowledge to take specific actions to help farmers and producers maximize their production and profitability. This algorithm provides an unprecedented level of precision, accuracy and control over the agricultural environment, allowing greater efficiency and optimization in farming practices. It enables monitoring, scheduling, and control of different agro-ecosystem components, such as water, soil, fertilizer, light, humidity, temperature, soil pH and crop growth. The algorithm can also point to general trends and patterns in the environment, as well as offer timely advice to farmers in response to real-time conditions. The algorithm is also capable of automatically diagnosing and responding to unexpected problems, which can help prevent costly mistakes and excessive waste of water, fertilizer, energy, etc. 2023 by the authors.
creator: Vineetha K R.; Bala N.N.; Sudha V.; Balakrishnan D.
source: Engineering Proceedings, Vol-59, No. 1
publisher: Multidisciplinary Digital Publishing Institute (MDPI)
date: 2023-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 26734591
format: Online
language: English
type: Article
coverage: Vineetha K R., Department of Computer Science, Christ (Deemed to Be University), Bangalore, 560029, India; Bala N.N., Department of Mathematics, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, 600109, India; Sudha V., Department of Electronics and Communication Engineering, Sona College of Technology, Salem, 636201, India; Balakrishnan D., Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, 626126, India

Sexual Narcissism among Men with Sexual Dysfunctions: An Exploratory Study
subject: Dysfunctional Beliefs; Sexual Dysfunction; Sexual Narcissism; Sexual Schemas
description: Objective: Previous studies have associated sexual narcissism with aggressive behaviours prevalent among most Cluster B populations. Recent evidence shows that certain characteristics of sexual narcissism could be beneficial for sexual and marital satisfaction. The present study is an exploration of the role of narcissism in Sexual dysfunctions. Method: A cross-sectional design involving a sample of 62 men aged 2260 years was used for the study. The sample consisted of 31 men having sexual dysfunctions and a matched control group of 31 men free from sexual dysfunctions. Tools used were the International Index for Erectile Functioning, Modified MINI, Sexual Dysfunctional Beliefs Questionnaire, Sexual Narcissism Scale, and Questionnaire for Cognitive Schema Activation in Sexual Context. Scores were subjected to discriminant analysis, and relevant variables were correlated to assess the strength of the association. Results: Results indicated that beliefs about Female Sexual Power (FSP), Helplessness Schema, and Exploitative behaviours of Sexual Narcissism were the best predictors that differentiated the two groups. The higher the scores on these variables, the lower the erectile functioning. FSP shared a positive correlation with both Exploitation and Helplessness, while the latter two variables were unrelated. Conclusions: A higher need to stick to traditional gender roles and fear of being overpowered could be contributing to sexually exploitative behaviours and relationship distress, which in turn, could affect self-efficacy and contribute to Sexual dysfunction. (2023), (Online Journal of Health and Allied Sciences). All Rights Reserved.
creator: Krishnan G.; Padickaparambil S.; Thomas J.; Thomas I.
source: Online Journal of Health and Allied Sciences, Vol-22, No. 4
publisher: Online Journal of Health and Allied Sciences
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9725997
format: Online
language: English
type: Article
coverage: Krishnan G., Department of Psychology, Christ University, Bangalore, India, Department of Clinical Psychology, Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India; Padickaparambil S.; Thomas J., Manipal University college, Melaka, Malaysia; Thomas I., Faculty, Department of Clinical Psychology, Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India

Soft Computing Approaches for Maximum Power Point Tracking of Solar PV System
subject: Artificial Bee Colony Optimization; Cascaded DC/DC Converter; Flying Squirrel Search Optimization; Maximum Power Point Tracking Technique; Photovoltaic System
description: Solar power changes according to irradiance and temperature in a day. A Maximum Power Point Tracking (MPPT) algorithm is actually necessary to obtain the maximum power from the photovoltaic (PV) arrangement. In this paper, in order to optimize power and improve the efficiency of PV module with regulated output voltage, soft computing MPPT techniques, flying squirrel search optimization and artificial bee colony methods are implemented on cascaded double voltage lift boost converter. The PV module is subjected to both with and without constraints to analyze the performance of the DC/DC converter, and the comparative outcomes are evaluated for resistive and different types of battery loads at various temperature conditions in MATLAB/Simulink platform. The optimized power is achieved by using artificial bee colony technique with less ripple in the output waveforms at constant 25 C temperature irrespective of the changes in irradiation with the battery load and this can be used for charging of the battery system. 2023 Praise Worthy Prize S.r.l.-All rights reserved.
creator: Radhika S.; Margaret V.
source: International Review of Electrical Engineering, Vol-18, No. 6, pp. 430-438.
publisher: Praise Worthy Prize S.r.l
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 18276660
format: Online
language: English
type: Article
coverage: Radhika S., Department of Electrical and Electronics Engineering, Bangalore Institute of Technology, School of Engineering and Technology, Christ University, Bengaluru, India; Margaret V., Department of Electrical and Electronics Engineering, Bangalore Institute of Technology, School of Engineering and Technology, Christ University, Bengaluru, India

Tissue-Specific Profile and Activity Patterns of Glycosyl Hydrolases from Trichosanthes Anguina (Snake Gourd)
subject: Chromogenic Assay; Glycosidases; Glycosyl Hydrolases; Snake Gourd; Vegetative Tissue
description: Plant glycosyl hydrolases (GH) and their function have been extensively studied using biochemical and molecular genetic approaches. GHs are involved in metabolism of various glycoconjugates specifically by the hydrolysis of glycosidic bonds and also in N-glycan processing. Several GHs have been extensively characterized from various plant sources and their diverse functional roles in cell wall polysaccharide metabolism, glycan biosynthesis and remodulation, signaling, symbiosis, secondary metabolism, etc. have been studied. However, information on tissue specific distribution of these enzymes, which is crucial for further understanding their physiological roles in plants is highly limited. In these lines, the present study was aimed at qualitative analysis of selected GHs from different tissues of a model plant, Snake Gourd (Trichosanthes anguina). The qualitative analysis of GHs such as ?-mannosidase, ?-hexosaminidase, ?-galactosidase, ?-glucosidase, ?-glucuronidase, ?-glucosidase, ?-galactosidase, ?-mannosidase and ?-fucosidase from seeds, sprouts, roots, stem, leaves, flowers and fruits of the Snake Gourd plant was carried out. Activities of different GHs varied in a tissue specific manner. The ?-mannosidase activity was maximum in ripened fruits whereas ?-hexosaminidase showed highest activity in roots. Interestingly, flowers had maximum activities of ?-glucuronidase and ?-fucosidase. The correlation analysis suggested significant correlations between various GHs which altered in tissue specific manner. (2023) Association of Carbohydrate Chemists and Technologists.
creator: Ranganatha K.S.; Kukkemane K.; Kumar N.S.
source: Trends in Carbohydrate Research, Vol-15, No. 4, pp. 1-22.
publisher: Association of Carbohydrate Chemists and Technologists
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9750304; LS; 2023-2024; Vol-1; 0715-0736
format: Online
language: English
type: Article
coverage: Ranganatha K.S., Glycobiology and Protein Biochemistry laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India; Kukkemane K., Glycobiology and Protein Biochemistry laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India, Department of Life Sciences, School of Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Kumar N.S., Glycobiology and Protein Biochemistry laboratory, Department of Biochemistry, School of Life Sciences, University of Hyderabad, Hyderabad, 500046, India

Transport Vehicle Demand Prediction Using Context-Aware Neural Networks
subject: LSTM; machine learning; multilayer perceptron; transport vehicle detection
description: Transport is an important aspect of trade. The more efficient the transport system, the more trade will flourish. However, sometimes it is the case that vehicles are not available for transport. This necessitates a system which could be able to keep an eye on the demand of transport vehicles. If the demand is fulfilled properly, then trade will flourish in a much better way. Thus, this project aims to keep an eye on the demand of transport vehicles and fulfill it. The study used MLP and LSTM models to work. The project also shows a comparison between the gradual changes and improvements in MLP and LSTM and the type of data used. The study focus was to predict the demand accurately in an area. 2024 by the authors. Licensee MDPI, Basel, Switzerland.
creator: Kunekar P.; Jadhav K.; Bhagwat A.; Kirar A.; Singh A.; Devesh S.; Bhat R.
source: Engineering Proceedings, Vol-59, No. 1
publisher: Multidisciplinary Digital Publishing Institute (MDPI)
date: 2023-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 26734591
format: Online
language: English
type: Article
coverage: Kunekar P., Department of Information Technology, Vishwakarma Institute of Technology, Maharashtra, Pune, 411037, India; Jadhav K., Department of Artificial Intelligence and Data Science, Vishwakarma Institute of Technology, Maharashtra, Pune, 411037, India; Bhagwat A., Department of Artificial Intelligence and Data Science, Vishwakarma Institute of Technology, Maharashtra, Pune, 411037, India; Kirar A., Department of Artificial Intelligence and Data Science, Vishwakarma Institute of Technology, Maharashtra, Pune, 411037, India; Singh A., Department of Artificial Intelligence and Data Science, Vishwakarma Institute of Technology, Maharashtra, Pune, 411037, India; Devesh S., Department of Business Management, Christ Yeshwantpur Campus (Deemed to be University), Karnataka, Bengaluru, 575073, India; Bhat R., Department of Mechatronics, Rajalakshmi Engineering College (REC), Thandalam, Tamilnadu, 602105, India

Total Harmonic Distortion Analysis of a Seven-Level Inverter for Fuel Cell Applications
subject: LC filter; multi-level inverter (MLI); PEMFC stack; topology; total harmonic distortion (THD)
description: This paper focuses on the total harmonic distortion (THD) analysis of a multi-level inverter (MLI) for fuel cell applications. Furthermore, a 50 kW 625 V proton exchange membrane fuel cell (PEMFC) stack was employed for this analysis. The various modes of operation of the suggested inverter are presented accordingly, along with its switching combinations. Also, a sinusoidal pulse-width modulation (SPWM) controller was employed to drive the power electronic switches in the suggested topology. The suggested inverter can produce sinusoidal voltage with only fundamental frequency switching. Moreover, the number of components and voltage stress of the suggested topology are compared with the conventional topologies presented. In addition, the THD was analyzed with and without the LC filter. Finally, the validity of the system was verified through MATLAB/Simulink software R2022b. 2023 by the authors.
creator: Veerendra A.S.; Chavali P.S.; Shivarudraswamy R.; Nagaraja Kumari C.H.; Janamala V.
source: Engineering Proceedings, Vol-59, No. 1
publisher: Multidisciplinary Digital Publishing Institute (MDPI)
date: 2023-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 26734591
format: Online
language: English
type: Article
coverage: Veerendra A.S., Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Chavali P.S., Department of Electrical and Electronics Engineering, Acharya Nagarjuna University, Andhra Pradesh, Guntur, 522510, India; Shivarudraswamy R., Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Nagaraja Kumari C.H., Department of Electrical and Electronics Engineering, Guru Nanak Institute of Technology, Telangana, Hyderabad, 501506, India; Janamala V., Department of Electrical and Electronics Engineering, Christ University, Karnataka, Bangalore, 560060, India

BEYOND SCREENS: A PSYCHO-THERAPEUTIC INTERVENTION FOR ADOLESCENTS SUFFERING FROM INTERNET GAMING ADDICTION
subject: Internet gaming disorder; intervention; psychological management; psychotherapy; systematic review
description: The Diagnostic and Statistical Manual of Mental Disorders (DSM 5) has now included Internet Gaming disorder in section III as the condition that warrants more clinical research. Internet or Online gaming has become one of the most popular sources of entertainment among children and adolescents, representing the fastest-growing segment leading to hazards as well. Thus, there is a requirement for a psycho-therapeutic intervention module to help in overall psychological well-being of the adolescents suffering from Internet Gaming Disorder (IGD). A total of 8 adolescents suffering from IGD were treated with scientifically prepared psycho-therapeutic module in total of 12 group sessions. The eclectic approach to treatment is proven to be effective for adolescents yielding significant improvement in the clinical condition and promotes wise engagement in gaming. (2023). All Rights Reserved.
creator: Chauhan D.; Rastogi K.; Roy S.
source: Journal of Content, Community and Communication, Vol-18, pp. 34-42.
publisher: Amity University
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 23957514
format: Online
language: English
type: Article
coverage: Chauhan D., Department of Psychology, Christ (Deemed to be University), Delhi NCR, India; Rastogi K., Department of Psychology, Christ (Deemed to be University), Delhi NCR, India; Roy S., Jamia Milia Islamia, New Delhi, India

Review of Development and Characterisation of Shape Memory Polymer Composites Fabricated Using Additive Manufacturing Technology
subject: 3D printing; 4D printing; mechanical properties; polymer composites; shape memory polymers
description: Structures as well as components are generated by depositing filaments on one another via the technique of additive manufacturing. Among the various processes of printing, 4D printing combines the technology of 3D printing with the passage of time, resulting in additively generated parts that are responsive to stimuli from the outside via modifications of their form, volume, size, or mechanical qualities. Thus, the materials of shape memory are used in 4D printing and respond to environmental factors including temperature, pH, and humidity. Shape memory polymers (SMPs) are materials with a shape memory effect that are best suited for additive manufacturing. Contrarily, the method named fused filament fabrication (FFF) is employed most frequently among all additive manufacturing methods. In this regard, the objective of the present study is to evaluate all investigations that have been conducted on 4D-FFF materials mechanical properties. The study offers an unparalleled overview that highlights the possibilities of 4D FFF printing across multiple applications in engineering while keeping the end structures or components structural integrity in consideration. 2023 by the authors.
creator: Tambrallimath V.; Keshavamurthy R.; Badari A.; Raj G.; S P.G.
source: Engineering Proceedings, Vol-59, No. 1
publisher: Multidisciplinary Digital Publishing Institute (MDPI)
date: 2023-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 26734591
format: Online
language: English
type: Article
coverage: Tambrallimath V., Department of Automobile Engineering, Dayananda Sagar College of Engineering, Karnataka, Bangalore, 560078, India; Keshavamurthy R., Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Karnataka, Bangalore, 560078, India; Badari A., Department of Mechanical and Aerospace Engineering, Monash University, Clayton Campus, Melbourne, 3168, Australia; Raj G., Thompson Aero Seating Ltd., Banbridge, BT65 5JB, United Kingdom; S P.G., Department of Mechanical and Automobile Engineering, Christ Deemed to be University, Karnataka, Bangalore, 560029, India

Enhancement in air-cooling of lithium-ion battery packs using tapered airflow duct
subject: Battery Thermal Management; Computational Fluid Dynamics; Lithium-ion Battery; Temperature Uniformity
description: 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…
creator: Satheesh V.K.; Krishna N.; Kushwah P.S.; Garg I.; Rai S.; Hebbar G.S.; Nair D.V.
source: Journal of Thermal Engineering, Vol-10, No. 2, pp. 375-385.
publisher: Yildiz Technical University
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 21487847
format: Online
language: English
type: Article
coverage: 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

Possibilities for the Flow of Water and Blood through a Graphene Layer in a Geometry Analogous to Human Arterioles: An Observational Study
subject: Newtonian; permeability; porosity; viscosity; von mises stress; wall shear stress
description: Atherosclerosis and aneurysm are two non-communicable diseases that affect the human arterial network. The arterioles undergo dimensional changes that prominently influence the flow of oxygen and nutrients to distal organs and organ systems. Several studies have emerged discussing the various possibilities for the circumstances surrounding the existence of these pathologies. In the present work, we analyze the flow of blood across the stenosis and the aneurysmic sac in contrast with the flow of water to explore alterations in the flow characteristics caused by introduction of the graphene layer. We investigate the blood flow past the graphene layer with varying porosity. The study is undertaken to replace usage of a stent along a blocked artery by inserting a thin layer of graphene along the flow channel in the post-pathological section of the geometry. To explain the flow, a 2D mathematical model is constructed, and the validity and exclusivity of the models solution are examined. When the artery wall is assumed to be inelastic, the computation of the mathematical system is evaluated using a finite element method (FEM) solver. We define a new parameter called critical porosity (Formula presented.) to explore the flow possibilities through the graphene layer. The findings indicate that the flow pattern was adversely affected by the graphene layer that was added to the flow field. The negative impact on the flow could be due to the position of the graphene layer placed. The (Formula presented.) values for the flow of blood across healthy arteriole, stenosed arteriole, and aneurysmic arteriole segments were (Formula presented.) and (Formula presented.) respectively. The critical porosity values were achieved with precision in terms of linear errors (Formula presented.), (Formula presented.), and (Formula presented.), respectively. The consequences of the present study disclose various possible ways to utilize graphene and its compounds in the medical and clinical aren…
creator: Shankar Narayan S.; Saeed A.M.; Fatima N.; Al-Duais F.S.; Alharbi K.A.M.; Puneeth V.; Gorji M.R.; Kheder N.B.; Abdelmohsen S.A.M.
source: Applied Sciences (Switzerland), Vol-13, No. 3
publisher: MDPI
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 20763417
format: Online
language: English
type: Article
coverage: Shankar Narayan S., Department of Mathematics & Statistics, Faculty of Mathematical & Physical Sciences (FMPS), Ramaiah University of Applied Sciences, Bengaluru, 560058, India; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, 52571, Saudi Arabia; Fatima N., Department of Mathematics and Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia; Al-Duais F.S., Mathematics Department, College of Humanities and Science in Al Aflaj, Prince Sattam bin Abdulaziz University, Al Aflaj, 16278, Saudi Arabia; Alharbi K.A.M., Mechanical Engineering Department, College of Engineering, Umm Al-Qura University, Makkah, 24382, Saudi Arabia; Puneeth V., Department of Computational Sciences, CHRIST University, Bengaluru, 560029, India; Gorji M.R., Faculty of Medicine and Health Sciences, Ghent University, Ghent, 9000, Belgium; Kheder N.B., Department of Mechanical Engineering, College of Engineering, University of Hail, Hail, 81451, Saudi Arabia; Abdelmohsen S.A.M., Biophysics Department, Faculty of Science, Cairo University, Cairo, 12613, Egypt

Fault Analysis and Compensation in a Five Level Multilevel DC-AC Converter
subject: 5-Level; common mode voltage; high frequency mitigation; Neutral clamped active (NCA) inverter; Total Harmonic Distortion
description: Existing Neutral clamped active (NCA) inverters have the property of high frequency common mode voltage, which can reduce the severity with less voltage gain. A newly designed five level (5L) NCA inverter can capable have achieved voltage step-up with a one stage inversion process. The proposed circuit common ground enhances DC link voltage usage while also mitigating common mode voltage with high frequency. The proposed topology is more compact and has less voltage stress than the conventional two stage topology. The proposed circuit contains merely seven power switches and two capacitors, whereas the conventional topology has ten switches and three capacitors, resulting in a more efficient layout. The proposed topology is developed in the simulink platform, and the simulation results are validated in a proto-type model with a power rating of 2000 W to validate its feasibility and performance with fault clearance capabilities. 2023, TUBITAK. All rights reserved.
creator: Parimalasundar E.; Suresh K.
source: El-Cezeri Journal of Science and Engineering, Vol-10, No. 1, pp. 99-108.
publisher: TUBITAK
date: 2023-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 21483736
format: Online
language: English
type: Article
coverage: Parimalasundar E., Department of EEE, Sree Vidyanikethan Engineering College, Tirupati, India; Suresh K., Department of EEE, Christ deemed to be University, Bengaluru, India

Forensic Investigation Approaches of DNA Analysis and Criminal Investigation
subject: criminal investigation; DNA searching; familial DNA; genetic genealogy; identification
description: Deoxyribonucleic acid (DNA) has been a significant factor in the criminal justice system since it was first used in forensic investigations. The reference sample's DNA profile is typically compared to the DNA profile from the evidence sample from the crime scene criminal cases. Familial DNA analysis can identify a person and provide significant investigation leads even without a reference sample for comparison in a criminal investigation process. The potential source of a forensic biological sample is determined using several indirect database searching techniques. These DNA-based techniques include Mitochondrial DNA (mtDNA) analysis, investigative genetic genealogy (IGG), familial searching, and Y-STR database searching. This study examined these methods and compares them in terms of searching efficiency, database structures, searching methods, genotyping technologies, data security, data quality, and costs. It also raises several possible legal and privacy problems for scientists to consider further. The significance of familial DNA analysis, the procedures used for finding and identifying relatives using familial DNA, and its benefits in forensics are all covered in this paper. Additionally, future options for the appropriate application of this technology and social, legal, and ethical concerns related to familial DNA analysis have been considered. 2023 WITPress. All rights reserved.
creator: Padmanabhan A.S.; Sapna S.
source: International Journal of Safety and Security Engineering, Vol-13, No. 1, pp. 129-137.
publisher: International Information and Engineering Technology Association
date: 2023-01-01
rights: All Open Access; Bronze Open Access
relation: ISSN: 20419031
format: Online
language: English
type: Article
coverage: Padmanabhan A.S., Department of Law, CHRIST (Deemed to be University, S.G. Palya, Karnataka, Bengaluru, 560029, India; Sapna S., Department of Law, CHRIST (Deemed to be University, S.G. Palya, Karnataka, Bengaluru, 560029, India

Fungi-Templated Silver Nanoparticle Composite: Synthesis, Characterization, and Its Applications
subject: bio-templates; Escherichiacoli; methylene blue; microorganisms; Sclerotiumrolfsii
description: The self-assembly of nanoparticles on living bio-templates is a promising synthetic methodology adopted for synthesizing nano/microstructures with high efficiency. Therefore, the method of bio-templating offers various advantages in controlling the geometries of nano/microstructures, thereby increasing the efficiency of the synthesized material towards various functional applications. Herein, we utilized a filamentous fungus (Sclerotium rolfsii) as a soft bio-template to generate silver nanoparticle (AgNP) microtubules adhering to the fungal hyphae. The resulting composite combines the unique properties of silver nanoparticles with the biological activity of the fungi. The 3D fungal hyphaesilver nanoparticle (FH-AgNP) composite was characterized using SEM, elemental analysis, and the X-ray diffraction technique. Additionally, to highlight the functional application of the synthesized composite, dye degradation studies of methylene blue under visible light was effectuated, and a percentage degradation of 67.86% was obtained within 60 min, which highlights the potent catalytic activity of FH-AgNPs in dye degradation. Further, the antibacterial study of the composite was carried out against the bacterium Escherichia coli, and it was found that 200 ?g of the composite exhibited maximum antibacterial properties against Gram positive (Staphylococcus aureus) and Gram negative (Escherichia coli) bacteria. Overall, fungi-templated silver nanoparticle composites are a promising area of research due to their combination of biological activity and unique physical and chemical properties. 2023 by the authors.
creator: Joy F.; Devasia J.; Nizam A.; Lakshmaiah V.V.; Krishna S.B.N.
source: Applied Sciences (Switzerland), Vol-13, No. 4
publisher: MDPI
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 20763417
format: Online
language: English
type: Article
coverage: Joy F., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Devasia J., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Nizam A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Lakshmaiah V.V., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India; Krishna S.B.N., Department of Biomedical and Clinical Technology, Durban University of Technology, Durban, 4000, South Africa

Siamese-Based Architecture for Cross-Lingual Plagiarism Detection in English-Hindi Language Pairs
subject: Bi-LSTM; CNN; cross-lingual plagiarism detection; deep learning; Siamese architecture
description: The cross-lingual plagiarism detection (CLPD) is a challenging problem in natural language processing. Cross-lingual plagiarism is when a text is translated from any other language and used as it is without proper acknowledgment. Most of the existing methods provide good results for monolingual plagiarism detection, whereas the performances of existing methods for the CLPD are very limited. The reason for this is that it is difficult to represent the text from two different languages in a common semantic space. In this article, a novel Siamese architecture-based model is proposed to detect the cross-lingual plagiarism in English-Hindi language pairs. The proposed model combines the convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM) network to learn the semantic similarity among the cross-lingual sentences for the English-Hindi language pairs. In the proposed model, the CNN model learns the local context of words, whereas the Bi-LSTM model learns the global context of sentences in forward and backward directions. The performances of the proposed models are evaluated on the benchmark data set, that is, Microsoft paraphrase corpus, which is converted in the English-Hindi language pairs. The proposed model outperforms other models giving 67%, 72%, and 67% weighted average precision, recall, and F1-measure scores. The experimental results show the effectiveness of the proposed models over the baseline models because the proposed model is very efficient in representing the cross-lingual text very efficiently. Copyright 2023, Mary Ann Liebert, Inc., publishers 2023.
creator: Agarwal B.; Gupta M.K.; Sharma H.; Poonia R.C.
source: Big Data, Vol-11, No. 1, pp. 48-58.
publisher: Mary Ann Liebert Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 21676461; PubMed ID: 36260373
format: Online
language: English
type: Article
coverage: Agarwal B., Department of Computer Science and Engineering, Indian Institute of Information Technology Kota (IIIT Kota), Rajasthan, Jaipur, India; Gupta M.K., Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management and Gramothan, Rajasthan, Jaipur, India; Sharma H., Department of Computer Science and Engineering, Rajasthan Technical University, Rajasthan, Kota, India; Poonia R.C., Department of Computer Science, Christ (Deemed to Be University), Karnataka, Bangalore, India

Deep learning algorithms for intrusion detection systems in internet of things using CIC-IDS 2017 dataset
subject: CIC-IDS 2017 dataset; Convolution neural network; Deep neural network; Internet of things; Intrusion detection system
description: Due to technological advancements in recent years, the availability and usage of smart electronic gadgets have drastically increased. Adoption of these smart devices for a variety of applications in our day-to-day life has become a new normal. As these devices collect and store data, which is of prime importance, securing is a mandatory requirement by being vigilant against intruders. Many traditional techniques are prevailing for the same, but they may not be a good solution for the devices with resource constraints. The impact of artificial intelligence is not negligible in this concern. This study is an attempt to understand and analyze the performance of deep learning algorithms in intrusion detection. A comparative analysis of the performance of deep neural network, convolutional neural network, and long short-term memory using the CIC-IDS 2017 dataset. 2023 Institute of Advanced Engineering and Science. All rights reserved.
creator: Jose J.; Jose D.V.
source: International Journal of Electrical and Computer Engineering, Vol-13, No. 1, pp. 1134-1141.
publisher: Institute of Advanced Engineering and Science
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 20888708
format: Online
language: English
type: Article
coverage: Jose J., Department of Computer Science, CHRIST University, Bangalore, India, Department of Computer Science, Rajagiri College of Social Sciences, Cochin, India; Jose D.V., Department of Computer Science, CHRIST University, Bangalore, India

Student Subjective Wellbeing amidst the Covid-19 Pandemic in Iran: Role of Loneliness, Resilience and Parental Involvement
subject: Covid-pandemic; Loneliness; Parental involvement; Resilience; Subjective well-being
description: The COVID-19 pandemic and lockdowns potentially severely impact adolescents mental well-being. This research aims to study students subjective well-being during the covid-19 pandemic in Iran and investigate the role of loneliness, resilience, and parental involvement. For this study, 629 students (female = 345) were recruited by purposive sampling. Students were assessed on the Students Subjective Well-Being, Loneliness Scale, Resilience Scale, and Parental Involvement. The results confirm our hypothesis that the relationship between parental involvement and students subjective well-being is mediated by loneliness. Furthermore, the results indicated a partial mediation of resilience in the relationship between parental involvement and students subjective well-being. This study theoretically contributes to a better understanding of the factors determining the impact of traumatic events such as a pandemic on adolescents mental health. The implications of this study indicate interventions that can be carried out to minimize the negative psychological consequences of the pandemic. 2022, The Author(s), under exclusive licence to Springer Nature B.V.
creator: Asanjarani F.; Kumar A.; Kalani S.
source: Child Indicators Research, Vol-16, No. 1, pp. 53-67.
publisher: Springer Science and Business Media B.V.
date: 2023-01-01
rights: All Open Access; Bronze Open Access; Green Open Access
relation: ISSN: 1874897X
format: Online
language: English
type: Article
coverage: Asanjarani F., Department of Counseling, Faculty of Education and Psychology, University of Isfahan, Isfahan, Iran; Kumar A., Department of Psychology, Christ University, Bengaluru, India; Kalani S., Department of Psychology, Faculty of Education and Psychology, University of Isfahan, Isfahan, Iran

Self-Powered Dynamic Glazing Based on Nematic Liquid Crystals and Organic Photovoltaic Layers for Smart Window Applications
subject: donor?acceptor bulk heterojunction; dynamic glazing; nematic liquid crystal; organic photovoltaics; smart windows; spatial light modulator
description: Dynamic windows allow monitoring of in-door solar radiation and thus improve user comfort and energy efficiency in buildings and vehicles. Existing technologies are, however, hampered by limitations in switching speed, energy efficiency, user control, or production costs. Here, we introduce a new concept for self-powered switchable glazing that combines a nematic liquid crystal, as an electro-optic active layer, with an organic photovoltaic material. The latter aligns the liquid crystal molecules and generates, under illumination, an electric field that changes the molecular orientation and thereby the device transmittance in the visible and near-infrared region. Small-area devices can be switched from clear to dark in hundreds of milliseconds without an external power supply. The drop in transmittance can be adjusted using a variable resistor and is shown to be reversible and stable for more than 5 h. First solution-processed large-area (15 cm2) devices are presented, and prospects for smart window applications are discussed. 2023 American Chemical Society.
creator: Fall S.; Wang J.; Regrettier T.; Brouckaert N.; Ibraikulov O.A.; Leclerc N.; Lin Y.; Elhaj M.I.; Komitov L.; Lue P.; Zhong Y.; Brinkmann M.; Kaczmarek M.; Heiser T.
source: ACS Applied Materials and Interfaces, Vol-15, No. 3, pp. 4267-4274.
publisher: American Chemical Society
date: 2023-01-01
rights: All Open Access; Green Open Access
relation: ISSN: 19448244; PubMed ID: 36630212
format: Online
language: English
type: Article
coverage: Fall S., Laboratoire des Sciences de lIngieur, de lInformatique et de lImagerie (ICube Research Institute), Universitde Strasbourg, Centre National de la Recherche Scientifique, 23, Rue du Loess, Strasbourg, Cedex 2 67037, France; Wang J., Laboratoire des Sciences de lIngieur, de lInformatique et de lImagerie (ICube Research Institute), Universitde Strasbourg, Centre National de la Recherche Scientifique, 23, Rue du Loess, Strasbourg, Cedex 2 67037, France; Regrettier T., Laboratoire des Sciences de lIngieur, de lInformatique et de lImagerie (ICube Research Institute), Universitde Strasbourg, Centre National de la Recherche Scientifique, 23, Rue du Loess, Strasbourg, Cedex 2 67037, France, Voltec Solar, 1 Rue des Pr, Dinsheim-sur-Bruche, 67190, France; Brouckaert N., Laboratoire des Sciences de lIngieur, de lInformatique et de lImagerie (ICube Research Institute), Universitde Strasbourg, Centre National de la Recherche Scientifique, 23, Rue du Loess, Strasbourg, Cedex 2 67037, France, University of Southampton, Southampton, SO17 1BJ, United Kingdom; Ibraikulov O.A., Laboratoire des Sciences de lIngieur, de lInformatique et de lImagerie (ICube Research Institute), Universitde Strasbourg, Centre National de la Recherche Scientifique, 23, Rue du Loess, Strasbourg, Cedex 2 67037, France; Leclerc N., Institut de Chimie et Proc pour lEnergie, lEnvironnement et la Sant Universitde Strasbourg, Centre National de la Recherche Scientifique, 25, Rue Becquerel, Strasbourg, Cedex 67085, France; Lin Y., Laboratoire des Sciences de lIngieur, de lInformatique et de lImagerie (ICube Research Institute), Universitde Strasbourg, Centre National de la Recherche Scientifique, 23, Rue du Loess, Strasbourg, Cedex 2 67037, France; Elhaj M.I., HighVistec GmbH, Benkenstrasse 254C, Witterswil, CH 4108, Switzerland; Komitov L., HighVistec GmbH, Benkenstrasse 254C, Witterswil, CH 4108, Switzerland, Dept. of Physics, University of Gothenburg, Gothenburg, 41296, Sweden, Department of Chemistry, C…

Customized mask region based convolutional neural networks for un-uniformed shape text detection and text recognition
subject: Deep neural networks; Optical character-recognition; Region based convolutional neural networks; Region of interest; Text detection; Text recognition
description: In image scene, text contains high-level of important information that helps to analyze and consider the particular environment. In this paper, we adapt image mask and original identification of the mask region based convolutional neural networks (R-CNN) to allow recognition at 3 levels such as sequence, holistic and pixel-level semantics. Particularly, pixel and holistic level semantics can be utilized to recognize the texts and define the text shapes, respectively. Precisely, in mask and detection, we segment and recognize both character and word instances. Furthermore, we implement text detection through the outcome of instance segmentation on 2-D feature-space. Also, to tackle and identify the text issues of smaller and blurry texts, we consider text recognition by attention-based of optical character recognition (OCR) model with the mask R-CNN at sequential level. The OCR module is used to estimate character sequence through feature maps of the word instances in sequence to sequence. Finally, we proposed a fine-grained learning technique that trains a more accurate and robust model by learning models from the annotated datasets at the word level. Our proposed approach is evaluated on popular benchmark dataset ICDAR 2013 and ICDAR 2015. 2023 Institute of Advanced Engineering and Science. All rights reserved.
creator: Channegowda R.H.; Karthik P.; Srinivasaiah R.; Shivaraj M.
source: International Journal of Electrical and Computer Engineering, Vol-13, No. 1, pp. 413-424.
publisher: Institute of Advanced Engineering and Science
date: 2023-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 20888708
format: Online
language: English
type: Article
coverage: Channegowda R.H., Department of Electronics and Communication Engineering, K S School of Engineering and Management, Ghousia College of Engineering, Visvesvaraya Technological University, Karnataka, India; Karthik P., Department of Electronics and Communication Engineering, K S School of Engineering and Management, Visvesvaraya Technological University, Karnataka, India; Srinivasaiah R., Department of Computer science and Engineering, Christ Deemed to be University, Karnataka, Bengaluru, India; Shivaraj M., Department of Electronics and Communication Engineering, Ghousia College of Engineering, Visvesvaraya Technological University, Ramanagaram, Karnataka, India