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Tailoring the properties of tin dioxide thin films by spray pyrolysis technique
Nanostructured transparent conducting SnO2 thin films have been grown on glass substrates via an environmentally benign chemical route viz spray pyrolysis. All samples were grown for various concentrations of precursor solution with the substrate kept at 350 C maintaining a spray rate of 10 mL/min. The characterizations revealed orthorhombic crystal structure with preferential growth in (112) plane for all samples. Ellipsometric analysis confirmed the good quality of the films. The sample prepared at 0.2 M concentration of precursor solution showed average transmission of 60% in the visible region with maximum conductivity of 24.86 S/cm. As synthesized samples exhibited overall Photoluminescence (PL) emission colours of green, greenish white and bluish white depending on the intensities of excitonic and oxygen vacancy defect level emissions. 2021 Elsevier B.V. -
Tailoring of low grade coal to fluorescent nanocarbon structures and their potential as a glucose sensor
Lignite is an abundantly utilized feedstock for the facile synthesis of fluorescent carbon dots and carbon nanomaterials. Its value is appreciated as an energy source for combustion for long time. Herein we report a novel top-down strategy to synthesis lignite based fluorescent nano carbon structures by combined acidic oxidation and chemical reflux. The nanocarbon crystallites in lignite are converted to oxygenated nano carbon dots and graphene sheets. They exhibited stable fluorescence property in the visible region depending on their size, functionalities and defects which were highly stable in all the pH conditions. These nanocarbon structures are an effective probe for fluorescent sensing of label-free and selective detection of glucose ions with detection limit as low as 0.125 mM, promising real-world sensor applications. These findings establish a scalable method for the production of fluorescent carbon based glucose sensor from lignite. 2018, The Author(s). -
Tailoring a Multifunctional PEDOT/Co3O4-CeO2 Composite for Sustainable Energy Applications
Energy sources play a crucial role in the development of the society. The gargantuan depletion of fossil fuels creates new glitches in the routine activities of human beings. Electrocatalysts can efficiently produce and store energy and, therefore, have the potential to alleviate this situation. A multifunctional electrocatalyst, Poly (3,4-ethylenedioxythiophene)/cobalt oxide-cerium oxide(PEDOT/Co3O4-CeO2), is synthesized by incorporating mixed metal oxide to 3,4-ethylenedioxythiophene (EDOT) using the in situ chemical oxidative polymerization method and is employed for both energy production and storage applications. The successful synthesis of the catalyst is confirmed through various characterization techniques. The composite shows a specific capacity of 617.8Cg?1 and a specific capacitance value of 1298.1Fg?1. The hydrogen evolution reaction (HER) analysis shows that the composite requires a low overpotential of 163.1mV at a current density of 10mAcm?2. Synthesized electrocatalysts can effectively handle the energy related issues prevailing in the society. 2024 Wiley-VCH GmbH. -
Tailor-Made Polyelectrolyte Multilayers for the Removal of Obidoxime from Water in Microfiltration Process
Abstract: The aim of this study was to develop and review the properties including removal efficacy of novel polyelectrolyte based multilayers against a pharmaceutical, obidoxime (OBD) from water. After examining a wide range of bilayer pairs based on different polyelectrolytes, the layer-by-layer (LbL) modification of polyamide microfiltration membrane with a uniform coating of poly(diallyldimethylammoniumchloride) (PDAC) and poly(sodium styrene sulfonate) (PSS) multilayers was found to be effective in its removal. The characterization of the bilayer pair was done with analytical instruments like UV-vis spectroscopy, ATR-FTIR, spectroscopic ellipsometry, TGA, SEM and AFM. The characterization of bilayer pairs demonstrated the stability and integrity of bilayer pair. The removal efficiency of bilayer buildup was analyzed by adjusting different assembly conditions and other filtration parameters. The maximum removal rate by the bilayer was 99.26% for 7 bilayer with average permeate flux of 6.19 m3/m2 day. These bilayers exhibit stable rejection properties under various applied conditions including change in pH, presence of anions, and macromolecules etc. suggesting its potential rejection application. The major factors that facilitate the rejection are found to be hydrophilic interaction and steric factor. The present study validated the application of polyelectrolyte modified microfiltration membranes as a potentially feasible and promising method for the removal of obidoxime residues from water matrix. 2020, Pleiades Publishing, Ltd. -
Taguchi-based ANN predictions to analyze the tensile strength of adhesive-bonded single lap joints
The adhesive bonding method is commonly used in various industries to join different materials because of its benefits, which include a high strength-to-weight ratio, low cost, and high efficiency properties. Automotive, aerospace, marine, and construction industries are increasingly using adhesively bonded joints because the hand layup techniques involve simpler fabrication methodologies, maintenance procedures, and controllable stress distribution parameters in the overlap region, which ultimately lead to easier production of automobile, aircraft, and ship components. The objective of the present work is primarily to assess the overlap length in conjunction with the adhesive strength of glass-epoxy adherends bonded with epoxy resin. In this article, the experiments are performed on single lap-bonded joints. The parameters considered for the current work involve the length of overlap, which is maintained at 15, 25, and 35 mm, and adhesive bonding thickness that is maintained at 0.2, 0.3, and 0.5 mm, respectively. The strength of the adhesively bonded lap joint is determined using a Universal Testing Machine (Lloyd Instruments Ltd., West Sussex, United Kingdom) with a 1-20 kN capacity. The investigational outcome reveals that, as the overlap length of the adhesively bonded single lap joint increases, a substantial increase in the joint strength is observed; additionally, it is noted that, with the increase in adhesive thickness, the joint strength decreases. It was observed that the artificial neural network-predicted values from the analysis were extremely close to the experimental values, and the difference between the experimental and predicted values was very small. Copyright 2018 by ASTM International. -
Tag indicator: a new predictive tool for stock trading
In this paper, TAGan indicator for stock market prediction in which volume-based means for measuring potential trading and investing decision-making is introduced. This task has been in correlation of the changes in the volume with the changes in the actual trade volume. Using this, a concise trading strategy is formulated. Hoping to outperform the market and analyze the results by back testing across intraday, price data for the last 1 year, 2019, is performed. It was discovered that about 48.9% of the time, the volume-based trading strategy outperformed and the returns from market are also healthy enough to support the claim. Statistical methods like linear regression, mean square error in prediction and stochastic gradient descent are applied. Furthermore, while the scope of the study was limited to a few stocks in Nifty in order to mitigate selection bias, nonetheless, we hypothesize that numerous other assets that similarly possess a predictable correlation to volumes based on daily high and low are likely to exist. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Tadpole domination number of graphs
The graph obtained by joining cycle Cm to a path Pn with a bridge is called Tadpole graph denoted by Tm,n. A subset D of V (G) is said to be a tadpole dominating set of G if D is a dominating set and the set of vertices of D spans a tadpole graph Tm,n where m ? 3, n ? 1. In this paper, we find the tadpole domination number of cartesian product of certain graphs, namely, paths, cycles and complete graphs. Also the tadpole domination number for the Mycielskian of cycles and paths is obtained. 2023 World Scientific Publishing Company. -
Systematic Review on Humanizing Machine Intelligence and Artificial Intelligence
In this era, Machine Learning is transforming human lives in a very different way. The need to give machines the power to make decisions or giving the moral compass is a big dilemma when humanity is more divided than it has ever been. There are two main ways in which law and AI interact. AI may be subject to legal restrictions and be employed in courtroom procedures. The world around us is being significantly and swiftly changed by AI in all of its manifestations. Public law includes important facets such as nondiscrimination law and labor law. In a manner similar to this when artificial intelligence (AI) is applied to tangible technology like robots. In certain cases, artificial intelligence (AI) might be hardly noticeable to customers but evident to those who built and are using it. The behavior research offers suggestions for how to build enduring and beneficial interactions between intelligent robots and people. The human improvement is main obstacles in the development and implementation of artificial intelligence. Best practices in this area are not governed by any one strategy that is generally acknowledged. Machine learning is about to revolutionize society as it is know it. It is crucial to give intelligent computers a moral compass now more than ever before because of how divided mankind is. Although machine learning has limitless potential, inappropriate usage might have detrimental long-term implications. It will think about how, for instance, earlier cultures built trust and improved social interactions via creative answers to many of the ethical issues that machine learning is posing now. 2023 IEEE. -
Systematic Review on Decentralised Artificial Intelligence and Its Applications
Initially, Artificial Intelligence (AI) models were centralized. This resulted in various challenges. To overcome this challenge, the decentralized or distributed frameworks were developed. Recent advancements in blockchain technology and cryptography have accelerated the decentralization process. Decentralized Artificial Intelligence (DAI) is gaining a significant research attention in recent times. This study reviews various DAI techniques such as Decentralized machine learning frameworks, Federated Learning and Distributed AI marketplaces. In particular, this study focuses on reviewing the recent developments in DAI by analyzing its potential advantages and challenges. 2023 IEEE. -
Systematic Review of Interparental Conflict and Intimate Relationship Satisfaction of Adult Offspring
Purpose: The objective of this paper is to synthesize a systematic review and showcase the findings of how interparental conflict affects the adult offsprings relationship satisfaction. Approach: The paper follows a systematic review approach adhering to PRISMA Guidelines. Findings: Three major themes were identified by the researcher that explained the consequences of interparental conflict on adult offspring. The themes are-Offspring Factors, Offspring factors feature the significant components and factors of offspring that highlight the differences in impact of interparental conflict on ones own romantic relationship; Consequences of Interparental Conflict on Offspring, which highlights the various corollaries on offspring of divorce; and Parent Factors help understand the different parental elements that affect relationship satisfaction of adult offspring. Limitations: 4 full text articles could not be accessed by the author, and hence were not accounted for in the study. Practical Implications: The study helps practitioners comprehend the extensive effects of interparental conflict for usage in therapeutic setups. It also highlights research gaps in existing literature such as lack of studies focusing on men, LGBTQ+ population, children from polygamous families and multicultural cohorts. Value/Originality: Despite the numerous studies published on the topic interparental conflict and its effects on adult offspring, no review has been done to the authors knowledge, thereby limiting the accessibility of precise information. The research aims to bridge this gap, and make comprehensive findings easily accessible. 2022 RESTORATIVE JUSTICE FOR ALL. -
Systematic Literature Review on Industry Revolution 4.0 to Predict Maintenance and Life Time of Machines in Manufacturing Industry
Industry 4.0 is digitized revolution for manufacturers or companies where in new technologies are imbibed into their production system for their day-to-day operations or activities. So that their overall economic needs and efficiency can be improved. In manufacturing industry maintenance of the equipment is the key concern. When the equipment requires maintenance, it has to be done at the earliest, failing which companies will have to face consequences in terms of loss of customers, time and money. Solution is provided to this problem in terms of a technique called predictive maintenance. The content of the article focuses on different predictive maintenance strategies, which help manufacturers to forecast if equipment/component will fail so that its maintenance and repair can be scheduled exactly before the component fails. The results will be useful for manufacturers to understand the importance of industry 4.0 for predictive maintenance. 2023 IEEE. -
Systematic Literature Review on Industry Revolution 4.0 to Enhance Supply Chain Operation Performance
Industry 4.0 is a notion in which industries automate systems and processes, innovate digitally, and share information. It aims to obtain a smart factory in an attempt to lessen required time in responding to consumer demand or unexpected circumstances and to enhance organizational productivity. The integration of Industry 4.0 and supply chain management (SCM) ensures immense development opportunities for manufacturing firms. This article provides a systematic literature review and formulation of the existing research on Industry 4.0 in SCM, resulting in some intriguing analyses that will be useful to academics and industry, particularly top managers. The content of the article is classified into three categories: exploratory vs. confirmatory, qualitative vs. quantitative, and management level vs. technology level. The findings will benefit managers in understanding the significance of Industry 4.0 and its relationship with SCM. The formation of clusters and their affiliations has resulted in the emergence of new areas requiring managerial attention. The article concludes by examining the possibilities of the present and future research. 2022 ACM. -
Systematic literature review and future research directions for service robots in hospitality and tourism industries; [????????????????????????]
Service robots create a touchless experience for travellers; therefore, this research aims to conduct a systematic literature review (SLR) of service robots in the tourism and hospitality sector. This study used the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) approach for reviewing the articles. One hundred eighteen articles are selected for the final review. A thematic analysis divided the articles into three themes and nine sub-themes. For establishing the future research directions Theory, Methodology, and Context (TMC) framework was used and forty-one future research questions are proposed. The study provides various research implications concerning theory and practical perspective. Different management theories are linked with future research questions. Few review papers discussed the service robot in the context of the tourism sector, but none of these studies used the SPAR-4-SLR and TMC framework. This study comprehensively reviews the articles and provides potential future research directions. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Systematic investigations of graphene layers in sub-bituminous coal
Coal is the plentiful and widely and universally used fuel. However, its structural characteristic makes a perception that it is only worthwhile for generating energy via combustion. Herein we report a simple method to synthesize nanometre-sized graphene sheets with amorphous carbon addends on the edges from sub-bituminous coal. The X-ray analysis reveals the presence of crystalline carbon in the amorphous background. The average number of carbon atoms and aromatic layers was estimated as ?21 and 8. The interlayer spacing d 002 for the aromatic lamellae of samples leached using HF and acetic acid, are found to be 0.352 and 0.376 nm, respectively. The oxidation of coal structure resulted in nanometre sized graphene having lateral size of 4.19 nm and stacking height of 2.3 nm. The Raman spectrum analysis confirmed the formation of finite sized, less defective graphene nanolayers with leaching. The crystalline carbon within the coal matrix displaced with chemical leaching, resulting nano-meter sized graphene sheets. The results also established that with HF leaching, carbon in coal becomes more stacked and ordered compared to organic acid leached coal. 2014 Pleiades Publishing, Ltd. -
Systematic Contemplate Paradigm on Diabetes Mellitus using different Machine Learning Predictive Techniques
As the foodies love fast food, from micro to combined families across the world the ratio of family members 1:4 is affected with silent killer named as diabetes. A very high blood glucose levels, metabolism, improper carbohydrate, damaged hormone insulin alleviating a human body disability leading to the silent killer of the body parts is the diabetes. An estimated 425 million of people around the globe suffering with diabetes up to 108 million to 1.7 trillion will be affected with diabetes. Therefore millennium, the universe ubiquity suffering with diabetes has next to quadrupled, growing from 9 percent and above among the people. As the eating habits of people in this trendy 21st century is dramatically devastating to the risk of overweight or obese. The silent killer diabetes consequences include kidney failure, Diabetic retinopathy, Heart attack, Stiffness of body muscles, Nerves stroke and lower limb amputation leads to type I and type II diabetes. As the researchers across the globe are using the machine learning algorithms as the reliable problem solver, The complications still continue. The purpose of this percu is to help with the apt selection of features garnishing with machine learning paradigm techniques in selecting the accurate attributes for each person to be properly diagnosed. In this archetype survey paper, we have done a systematic review chronologically a decade research which will help the researchers to explore and get the contemplate on various tangible and intangible data sets they can adopt in diagnosing the mellitus diabetes. Grenze Scientific Society, 2023. -
System method for crop and fertilizer recommendation through soil nutrient monitoring using cyber physical system and machine learning /
Patent Number: 202141022914, Applicant: Dr. Ajith Danti.
The present invention relates to system and Method for crop and fertilizer recommendation through soil nutrient monitoring using cyber physical system and machine learning. The objective of the present invention is to solve the problems in the prior art technologies of crop and fertilizer recommendation based on soil nutrient, soil type and agriculture field location. -
System method for crop and fertilizer recommendation through soil nutrient monitoring using cyber physical system and machine learning /
Patent Number: 202141022914, Applicant: Dr. Ajith Danti.
The present invention relates to system and Method for crop and fertilizer recommendation through soil nutrient monitoring using cyber physical system and machine learning. The objective of the present invention is to solve the problems in the prior art technologies of crop and fertilizer recommendation based on soil nutrient, soil type and agriculture field location. -
System method for crop and fertilizer recommendation through soil nutrient monitoring using cyber physical system and machine learning /
Patent Number: 202141022914, Applicant: Dr. Ajith Danti.
The present invention relates to system and Method for crop and fertilizer recommendation through soil nutrient monitoring using cyber physical system and machine learning. The objective of the present invention is to solve the problems in the prior art technologies of crop and fertilizer recommendation based on soil nutrient, soil type and agriculture field location. -
System Design for Financial and Economic Monitoring Using Big Data Clustering
Economic data executives are becoming increasingly important for the longevity and improvement of ventures due to the constant expansion in the influence of data innovation. This study lays out an undertaking economic data the executive's structure for the intricate internal undertaking economic data the board business. It also includes the application of web-based big data technology to understand the fairness, reliability, and security of system database calculations, mainly to improve office capabilities and solve daily project management problems. used in the project. The aim is to evaluate the suitability of transfer clustering computation (DCA) for managing large amounts of data in energy systems and the suitability of data economics dispatch methods for harnessing new energies. Then, combine day-ahead shipping plans with continuous shipping plans to create a multi-period, data-economic shipping model. Consider how the calculations are performed using a case study on the use of new energies. This will enable new energy in multi-period data economics shipping models while meeting his DR requirements on the customer side. 2023 IEEE. -
System and methods for visual impaired and speech impaired for digital learning /
Patent Number: 202041040245, Applicant: Dr. Ilango Velchamy.
Disclosed is a learning and assessment system and methods that facilitates the visually and speech impaired learners seamless learning in a digital learning environment.