bluuebunny/crossref_metadata_2025 huggingface dataset:
Multifunctional Agricultural Robot Operated Through Mobile Phone
Authors: Saro Sujithraa Gladys , S Karthigaiveni , S Janani , S G Hymlin rose
Published: April 2022

This paper proposes an AGRIBOT (agricultural robot) designed for agricultural purpose that aids the people to endure so that it achieves to do multi functions such as seedling, turn up the area of land, to put a mass of small drops of liquid on crops, lawn mowing, and to identify the hindrance. This AGRIBOT practices which is back powered by the sun energy. It also consists of a detector which detects the obstacles combining the bluetooth module that is directed by the instructions given to the AGRIBOT. This low cost AGRIBOT is easy to function without requiring personal assistance. It aids the farmers for ease of work to lessen the individual effort, time consumption, and energy. Despite all the obstacles, even day or night agriculture can be performed. This AGRIBOT when compared with all other robots is especially useful because it performs multiple functions that serve as an advanced technique for smart farming.
Khadi: Can it be Used for Mass Production of Shirts?
Authors: Karale Suresh Shankar
Published: April 2022

Khadi, in India, is not just a fabric but also has sentiments of the people connected to it. The men shirts possess a high potential market in India but majority of brands hesitate using khadi fabric for making men’s shirts. Khadi is considered difficult to be used for mass production by industry due to its time-consuming process. But it has high potential and a sustainable profile. The fabric can be considered an eco-healthy idea for the fashion industry. The paper discusses the limitations which are derived after conducting experimental research. The paper majorly discusses the various problems identified in the khadi shirts sourced from the Khadi and Village Industry Commission (KVIC) outlet and further suggests suitable solutions for using khadi as a fabric for the mass production of shirts.
Designing a Solar PV Module for Powering an Electrolyzer
Authors: Pandey Aditi , Meda Ujwal Shreenag , Rajyaguru Yashesh Vijay , Manjunatha C
Published: April 2022

Global warming and the energy crisis pose a serious threat to the very existence of this planet. This has led to the need for a sustainable approach to energy generation and utilization. Solar energy, of all renewable resources, has the greatest potential due to its abundance and inexhaustibility. Reduced greenhouse gas emissions are a key concern that can only be addressed by finding alternate sources of energy. One viable option is hydrogen, which, when produced through electrolysis using an electrochemical device called an electrolyzer, proves to be a green and clean energy carrier. To be totally sustainable, the electrolyzer should be powered through a renewable energy source, such as solar photovoltaic system. In this review article, an effort has been made to successfully compile the literature in this regard.
Liquid Cooled Microchannel Heat Sink Based Peltier Solar Atmospheric Water Generator
Authors: AR Suriya Devalan , Elumalai Vijayaragavan
Published: April 2022

To maintain the high RH value near dry air vent, increase the efficiency of Peltier with proper ventilation that is to make the heat escape easily, to provide more surface area for heat sink to cool down the air more effectively. Mass of the body is reduced, and durability is improved. RH value is maintained with the help of dry air vent. We can get benefits from a liquid cooled micro channeled heat sink which needs only a little space. It is suitable for the high flux heat dissipation and also gives a better result compared to generic convection method. It is used without reacting with the body frame. It is portable with help of 12V DC solar 10W. This system solves water scarcity in rural areas. We can especially use at hill stations as the humid conditions are the best.
Intelligent Tracking and Navigating Moving Objects in a Smart Environment Using IoT Network
Authors: R Parvathi , T Ch Anil Kumar , A Nandhakumar , Arshad Haqqani , Singh Ajith
Published: April 2022

Internet of Things (IoT) constitutes the combinations of sensors, controllers, actuators, and connectivity. Tracking and navigating moving objects are crucial tasks for security as well as a secure and smart environment. By using the sensory data, location of objects can be identified then that sensory data will be transferred to controllers for the further processes. One pivot role of the system is to identify the trajectory and location of the object using the speed, velocity, acceleration, maps, etc., and this can be done by machine learning programs. Analyzing service required, prediction of the trajectory and real-world knowledge of maps or locations, To avoid the loop-carry dependency, service request parameters are dynamically changed to locate relevant virtual objects. In order to track moving items, this study provides an architecture based on IoT self-aware environment technology that facilitates the tracking and allocation of relevant virtual objects.
Preservation of Natural Resources, Relocation Rehabilitation, and its Consequences
Authors: Dar Sher Ali , Kumar Ambuj
Published: April 2022

To promote sustainable development of cities and communities, various initiatives on preserving natural resources have been going on for a long time and have increased many folds in recent times all over the world. Sometimes preservation of natural resources results in certain sections of the population being displaced and resettled at some other location. This displacement gives birth to various challenges. If these challenges are not addressed on time, the relocation may not be successful and people may end up coming back to the original place, thereby making the project of resettlement a failure. Besides the preservation of natural resources, there are various other reasons for displacement depending upon the type of project to be undertaken. This study discusses a case of displacement which is caused by the implementation of the project for the protection of the environment, more specifically for the protection of a water body called Dal Lake in the city of Srinagar, Jammu and Kashmir, India.
Designing a Framework to Improve the Learning Experience for Middle School Students in Geographical Education
Authors: Anireddy Srilakshmi , Mantri Archana , prit Kaur Deepti
Published: April 2022

With the growing research in the use of Augmented Reality (AR) for education, various applications have been developed for catering to day-to-day needs of living, learning, social, and physical. Augmented Reality applications improve various skills, such as motivation, collaboration, self-learning, critical thinking, and content understanding in the fields of education. Many AR-based applications are available for increasing the student learning experience in the distinct subjects of science, engineering, and mathematics when compared to the conventional approach. This study aims to accelerate the knowledge of eighth-grade students in geographical studies by assimilating the real-world environment with context-based information. This paper aims at the development and implementation of an AR-based system for analyzing and providing the information on how effective the usage of augmented reality applications can be to improve the learning outcomes of the eighth-grade students in their learning of the topics of geography relative to traditional teaching.
Religious Tourism and Visitor Perception: A Case Study Analysis
Authors: Bhandari Harveen
Published: April 2022

Religious tourism is a popular and significant form of tourism that attracts people all over the world and across all religions. These religious heritage sites have different stakeholders and the success of this tourism lies in its stakeholder’s engagement and motivation to manage such religious heritage sites. The current study assesses the perception of different typologies of visitors who visit a religious heritage site in India to deduce significant findings that will enrich visitor spiritual experience. A mix of qualitative and quantitative methods was used for this research. The study concludes that the visitors are the key stakeholders and therefore their spiritual experience is of prime concern while managing religious heritage sites and devising measures to boost tourism at these religious sites.
Current Progress in Materials, Device Fabrication, and Biomedical Applications of Potentiometric Sensor Devices: A Short Review
Authors: S Anil Subash , C Manjunatha , Khosla Ajit , Hari Krishna R , S Ashoka
Published: April 2022

Potentiometric sensor devices are having a wide range of applications in environmental and biomedical fields. This short review aims to provide updates on recent innovations in various nanomaterials as sensing components used in potentiometric sensor devices. The review also covers the various methods and conditions used to develop these sensor nanomaterials with appropriately decorated by functional groups. Reduced graphene oxide along with traditional platinum electrodes is used to monitor algae growth in an aquatic ecosystem. Here, the addition of reduced-graphene increases the selectivity and precision of the potentiometric sensor. The review also describe the fabrication and the mechanism of sensing of carbon composite based glucose sensors, sweat sensors, and pH sensors, which are used for monitoring a human body. Sweat sensors are the ion-sensors which use carbon nanoparticles for high selectivity. Porous graphene oxide is also one of the highly used carbon nanomaterials which show high selectivity towards different types of chemicals under certain conditions. PANI/Graphene/CNT nanocomposite based potentiometric sensor is used to detect hazardous 4-aminophenol in the surrounding area. Using nanocomposite increases the selectivity and gives a high current response in the I-V graph. The granular nature of InVO4 is used in the fabrication of ammonia sensors. Formaldehyde is one of the commonly found adulterations in the food. A biosensor has been fabricated using CNTs-Fe3O4 nanocomposite to detect the formaldehyde in the foods. Finally the review summarizes the merits and limitations of various potentiometric sensors developed for different biomedical applications.
Listing the Shared Built Heritage of Shimla: A Colonial Hill Town in India
Authors: Bansal Kanika , Chhabra Pankaj
Published: April 2022

Shimla, a hill town in north India, possesses a unique cultural heritage manifesting layers of history. Shared built heritage of Shimla represents the 'shared' parts of history that include structures influenced by the colonial style. The diversity of building typology is under constant threats of urbanization and is exposed to degradation and extinction. Heritage listing as a tool for documentation aids to identify the shared built heritage and create repositories of the unrecorded history before it gets lost in the wraths of modern-day challenges. The study presents an account of the shared built heritage in Shimla using primary and secondary sources of data collection. Data was collected through a series of open-ended questions to various stakeholders, compiled in meticulously prepared inventories and represented graphically. The study contributes to defining a process for categorizing the different typologies of existing shared built heritage that aid in integrating these within the urban management plans.
Double POLO Carrier Selective Contact Based PERC Solar Cell for 25.5% Conversion Efficiency: A Simulation Study
Authors: Kashyap Savita , Shrivastav Nikhil , Pandey Rahul , Madan Jaya , Sharma Rajnish
Published: April 2022

Polycrystalline Silicon on Oxide (POLO) passivating contacts have emerged as a carrier selective contact for high-efficiency Si-based photovoltaic (PV) devices. In this paper, double POLO PERC (Passivated Emitter and Rear Contact) device is designed by employing POLO contacts on both contact sides to reduce the contact recombination losses through Silvaco-TCAD tool. The performance of the double POLO PERC device has been studied by using the PV parameters and current-density (J-V) curve. The impact of tunnel oxide thickness variation (1 nm, 1.25 nm, 1.5 nm) in the tunnel oxide layer is also analyzed. The performance of textured double POLO PERC solar cell is optimized at 1.5 nm thickness (TOX), which reflects optimum conversion efficiency of 25.5%. Reported study of double POLO PERC device may open up a door for further improvement in PERC device performance.
Impact of Social Media Network on Uninterrupted Supply Chain Management of Farming Products During COVID-19
Authors: Sulthana Navitha , S Vasantha
Published: April 2022

Social media platforms are the fastest reaching people network globally. The study aims to highlight the importance of social media platform usage among farmers during the COVID-19 pandemic crisis. The uninterrupted supply chain management delivered basic needs at the doorstep of the consumer from the producer. Social distancing and risk inherent in visiting in stores have increased online buying through social media network. The supply chain management remained undisturbed during COVID-19. Farmers are benefited through uninterrupted supply chain management during the COVID-19 crisis. The social media platforms lead the farmers produced product and successfully distribute to the customers. During COVID-19 the uninterrupted supply chain management has compressed the existing flow of supply chain management. Farmers earned good margin and customer got low priced farm fresh products for their daily needs. Social media usage has been a successful network for uninterrupted supply chain management during this COVID-19 pandemic crisis.
A Machine Learning Approach Towards Predicting Formation Permeability Using Real-Time Data
Authors: Nande Soumitra , Patwardhan Samarth
Published: April 2022

Reservoirs are hydrocarbons (oil and gas) bearing subsurface structures (formation) in which wells are drilled to produce the fluids to the surface. Well testing is a method of studying pressures and their corresponding rates from an individual well, to analyze the various characteristics of a reservoir, which helps in optimum management of the production operations. In this paper, we have applied one of the most popular supervised learning algorithms known as Artificial Neural Networks (ANN) for predicting the permeability (conductivity) of the formation. The well testing data consisting of well head pressure, down hole gauge pressure, flow rates for oil and water, P*, P-1hour, etc. were used as input features for training the model. A 4-layer dense ANN architecture consisting of one input and output layer each and two hidden layers was built for training and testing the model.
Online DBMS for Improving Labor Availability and Access to Labor Welfare Schemes
Authors: Hirpara Saloni Atulbhai , Rajgor Mamata B. , Shah Devang A.
Published: April 2022

In India, the construction industry contributes more than 5% of the country’s GDP and 78 percent of gross capital creation. On the other hand, projects are becoming more complicated daily, necessitating new approaches to achieve good long-term construction work. Since the building industry is a labor-intensive industry, overcoming labor shortages has proven difficult. The project manager and other professionals want to finish the job on time, but labor shortages cause time and cost overruns. Furthermore, concerns about worker safety, financial incentives, and the lack of access to provident funds (PF) and employee state insurance (ESI) have caused young people to lose interest in the construction industry. This study examines and reviews the definition of labor scarcity, problems in access to labor welfare schemes, and labor protection policies in the construction industry and recommends the most effective and appropriate mitigation steps to address these issues.
A Review and Analysis of IoT and Machine Learning Algorithms in the Brain Disease Diagnosis and Detection
Authors: Chahar Ravita , Dubey Ashutosh Kumar
Published: April 2022

In this paper, a review and analysis were performed based on the Internet of Things (IoT) and machine learning algorithms for the brain disease diagnosis and detection. This paper covers different aspects of its applications in the direction of brain disease diagnosis and detection. This paper explores the opportunities through different sensor devices. The assessment and analysis were performed based on different parameters, which covers the parametric evaluation of IoT based sensor for the growth of the medical structures. It also covers the new challenges and prospective solutions with detailed discussion and analysis. It shows the detailed exploration of the applicability of artificial intelligence and machine learning.
Synthesis and Pharmacological Evaluation of Promising Coumarin Methyl Ester/ Di/Tri/Tetra Peptide Derivatives
Authors: Kaur Arvinder , Goyal Anju , Badavath Vishnu Nayak , Kaur Rajwinder , Arora Sandeep , Kaur Ramninder
Published: April 2022

Coumarin is a phenol, consisting of benzene ring and alpha-pyrone ring. Coumarins are prepared through Pechmann reaction, which involve condensation of phenol with ethyl acetoacetate in the presence of acid catalyst. Coumarins are being used widely due to their various biological activities in recent years, like anticoagulant, antibacterial, antitumoral, antitubercular, antifungal, MAO inhibitor activity, antioxidant, anti-inflammatory and as CNS active compounds. Methyl esters of amino acids and their di/tri and tetrapeptides derivatives were prepared using coupling agent DCC and a base NMM by stirring continuously for 36 hours. The compounds prepared were analyzed and the structures are elucidated by TLC, IR and 1H NMR spectral data. They were screened for antibacterial activity against three bacterial species and antifungal activity against one species
A Systematic Review of Applications and Tools Used in Virtual Reality and Augmented Reality
Authors: Jangra Shinnu , Singh Gurjinder , Mantri Archana
Published: April 2022

In this survey, examine applications of augmented reality and virtual reality in different types of real life applications, such as education, health care, medical, cultural experience, museums and social learning. VR and AR technologies provide immersive experiences to the user by using Head Mounted Display (HMD) and some tools and techniques. In this research, the authors also explore software and hardware components used by the researchers and identified most widely used software tools and hardware tools in AR and VR applications interfaces. This paper aims for the review of existing works in the domain of AR, VR applications, and different types of tools and techniques used by the researchers. Finally, according to the outcomes of the review paper, future aim of the research requirements and guidelines are presented.
An Analytical Study of Investors’ Perception Towards Investing in Equity Mutual Funds During COVID-19 Situation
Authors: Samdariya Payal , Goyal Varsha
Published: April 2022

Mutual funds are treated as a vehicle of investment, which is suitable for the all-age groups of investors who want to take good return from their investment and are ready to bear risk. Equity Mutual Funds are those where funds are invested in equity shares of various companies. This research paper is an attempt to understand investor’s perception towards Equity Mutual Fund schemes during COVID-19 and to study and analyze various factors influencing investor’s perception. A survey was conducted via questionnaire and primary data was collected from 120 respondents from Pune city. It was found that there is an impact of COVID-19 situation on investor’s investment in Equity Mutual Fund schemes and it depends upon risk, fixed rate of return, SIP mode, company’s past track record, higher return, liquidity, tax saving option, sector wise, and size of the equity mutual fund. This study also suggests what kind of steps are needed to take to build up the investor’s confidence in Equity Mutual Funds schemes while investing during the outbreak of COVID-19 situation.
A Review on the Mental Health of Housekeeping Workers During COVID-19 Pandemic
Authors: Sri Vidya , S Vasantha
Published: April 2022

The emergence of the COVID-19 pandemic has resulted in a relentless impact on the mental health of people all over the world. As an individual everyone is stronger mentally than they realize, but this situation altered everyone by testing their psychological attributes. To examine this article theme, housekeeping worker’s chief duty is to follow the principles and procedures for COVID which the government has set globally. Apart from taking precautions and isolating themselves, COVID-19 has created enormous physical and mental burdens on all people. The lower income people all over the world have attained severe losses during this COVID. The main objective of this study is to identify the factors influential to the mental health. Several researchers have contributed their insight knowledge to examine the mental strength of housekeeping workers in the pandemic situation and they have also addressed their efforts and continues support for this society.
A Review Study of Techniques and Use of Thermal Stabilization of Soil
Authors: Sharma Utkarsh , Rathor Ajay Pratap Pratap Singh , Acharya Biswajit
Published: April 2022

The process of stabilization is performed at a large scale by using various procedures to improve and modify soil properties. Searching a good method for stabilization is really a big deal of concern till date. Thermal stabilization is one of an important method among the various methods of soil stabilization. The paper’s objective is to review the different thermal stabilization techniques based on previous experimental studies. The point of attention is comparison of thermal stabilization with other method.
Nano-based Strategies Against COVID-19: Prevention and Therapeutics
Authors: Varshney Itika , Chand Preeti , Prasad Tulika
Published: April 2022

COVID-19 disease is an ongoing global pandemic caused by contagious SARS-CoV-2 and represents an unprecedented public health concern. No treatment for COVID-19 is validated yet, however various vaccines are approved for emergency use. Due to rapid virus spread and disease outbreak, an alternative approach to combat the virus is essentially required. In this regard, nanotechnology certainly offers new opportunities to develop safe, sustainable, and novel approaches for effective prevention and treatment of COVID-19. Various such approaches under research and development include inhibition of SARS-CoV-2 entry into host cell by nanoparticles or membrane derived nanodecoys, prevention of viral contamination via disinfectants, nano-based drug delivery system for targeted, sustained and controlled drug release, and nano-based vaccines to boost cellular and humoral responses.
Sentiment Analysis on Wearing Mask During COVID-19 Pandemic in India: A Case Study on Twitter
Authors: Bahekar Kirti Bala , Gautam Pratima , Sharma Shailja
Published: April 2022

The ongoing pandemic, which was initiated in Wuhan, China, is the rapid spread of coronavirus disease (COVID-19). It has caused public health crises regionally and internationally. According to the World Health Organization (WHO), the virus can spread from an infected person's mouth or nose. Therefore, the WHO has given various guidelines to be followed by people as precautions, among them, wearing a face mask. So, in the proposed paper, sentiment analysis will be performed to study public views on wearing masks, even after getting vaccinated. The purpose of this study is to analyze tweets by Indian citizens on problems due to wearing masks during the COVID-19 pandemic. Data analysis was conducted by several classification algorithms based on Artificial Immune System algorithms (AIS), which are a new deep-learning model for text analysis and performance, and results are also compared with other models such as Naïve Bayes (NB), Support Vector Machines (SVM), etc.
Performance Analysis of an Innovative Duct-Based Automatic Forced Air Chicken Egg Incubator Using Predictive Analytics
Authors: C Stanly Felix , J Vijayarangam , T N Sugumar
Published: April 2022

The demand for the high-performance automatic chicken egg incubator models is high in the small-scale poultry farm sector. There are reasons to avoid conventional incubator models and in turn gives rise to innovative machines. It was identified that the percentage of hatching is average in the existing small-scale conventional incubators. This article is about performance analysis of an innovative duct-based automatic forced air chicken egg incubator using predictive analytics. It employs multiple regression, Chi-square test, and paired t test models and analyzes the performance of an innovative incubator in which we use an artificial hatching process of 40 to 50 fertile chicken eggs and its performance is compared with conventional model of hatching. The conventional artificial model and the innovative duct model were used for the complete analysis during the incubation period of 21 days. The hatching parameters, such as incubation temperature and relative humidity, were maintained throughout the hatching process. The major issue of any existing incubator models is the hatching rate. It is resolved using the innovative duct-based model whereas the optimum incubation temperature is received by all the eggs present inside the incubator for 21 days. Automation is performed using embedded system for monitoring and control. The mathematical analysis on the hatching percentage of the two models based on the distance of the eggs placed from the heat source inside the incubator offers better results that the duct-based model is efficient in hatching healthy day-old chicks.
AI Based COVID Pneumonia Classifier Using Machine Learning
Authors: Sowmiya A , Shilaja C , Nalinashini G , Padmavathi N
Published: April 2022

To classify and detect the presence of pneumonia or COVID-19 in a series of chest X-ray images, this research presents a convolutional neural network model that was trained from the ground up. Many other methods use transfer learning or handcrafted methods to attain a high level of accuracy in classifying data. Pneumonia or COVID-19 can be diagnosed using a convolutional neural network model that extracts information from the provided chest X-ray image and classifies it. The reliability and interpretability issues that arise frequently when dealing with medical images may be alleviated by using this method. Pneumonia datasets are scarce for this classification assignment, as they are for other deep learning classification tasks that require a huge image library. To increase the CNN model's validation and classification accuracy, we applied a variety of data augmentation strategies. We were able to achieve outstanding validation accuracy.
Combined Economic-Emission Dispatch of External Optimization Integrating Renewable Energy Resources Stochastic Wind and Solar
Authors: Shilaja C , Nalinashini G , Balaji N , Sujatha K
Published: April 2022

Economic dispatch in the standard power system network frequently prioritizes instant economic gains while overlooking the detrimental environmental effects of gas discharges from thermal power stations. Economic emission dispatch (EED) has received a lot of consideration in current years as a way to alleviate this shortage. The unpredictability and intermittence of renewable energy sources like wind and solar power are raising the difficulty of electric grid planning as renewable production penetration rises. This research proposes a modified MMOCE to improve dispatch efficiency with considerable renewable energy consumption. A congestion calculation method and a new external storage process are added to the traditional kernel function method to address multi-objective optimization issues. The energy and transportation sectors are two of the most significant producers of GHG emissions. Improved vehicle productivity is a partial answer, but to limit the rate of GHG emissions, it is important to use RESs in the network. It is, however, critical to evaluate the efficacy of each approach. In this research, the environmental and economic aspects of employing RESs will be examined using a mixture of generating cost and GHG emissions from the two businesses stated. To overcome the ELD problem, an enhanced PSO is employed. However, solutions for reducing time consumption for the high-dimensional ELD issue are not considered in this study.
IoT, Enabling Technologies, and Sensor Node Deployment Pattern in WSN
Authors: Gupta Sunita , Nawal Meenakshi , Janu Neha , Goyal Dinesh
Published: April 2022

In Internet of Things (IoT), various computing devices and mechanical and digital machines are interconnected. These devices have unique identifiers (UIDs) and transmit the information on the network with no human interaction. Sensors are the integrated part in IoT as these are used to collect the data. The IoT technologies have a lot of issues like addressing problems, scalability problems, security, and standardization issues that required to be solved. In this paper, the authors facilitate the reader to have necessary understanding of IoT, importance on protocols, technologies, application related issues, various types of sensors used in IoT, new generation of alternative sensors for IoT, and the issues which needs to resolved for the future. A depth overview of 5G IoT systems is also given. The five layers in 5G IoT systems and empowering technologies associated with it are discussed. A comparative analysis of QC-PC-MCSC for strip based deployment pattern and for random deployment is given. This paper provides a support to academician about the working of diverse protocols, relation between IoT and other emergent technologies together with big data and cloud, energy efficiency based on sensor node deployment pattern, etc.
Influence of Various Asset Classes on Equity as an Asset Class: A USA Based Study
Authors: Sharma Manu , Suri Gunmala , Sharma Kriti
Published: April 2022

The study investigated the influence of asset classes like bond, commodity, venture capital, and real estate on the performance of equity as an asset class. The bond index, commodity index, U.S. venture capital index, and real estate index data was taken only for the USA market. The study revealed that U.S. equity market doesn’t perform in isolation and is highly related to other asset classes except bond/debt asset class. Therefore, it can be concluded that equity market doesn’t work in isolation and it related to performance of other asset classes in the financial market.
Lithium-Ion Battery Model Parameters Estimation Using Equivalent Circuit Model for E-mobility Applications
Authors: Duru Kamala , Venkatachalam Praneash , Karra Chanakya , Anish Madhavan Asha , Elumalai Karthikeyan , Kalluri Sujith
Published: April 2022

Accurate estimation of battery internal model parameters and consequently SOC prediction is crucial in any battery power system. Hence, it is a fundamental need in electric vehicles, smart grids, and energy storage systems. The accuracy of parameters identification will affect the battery management system, battery safety, characteristics, and performance, which mainly depends on battery model parameters. So, to estimate the parameters accurately and easily, we require effective, simple, and robust parameters estimation algorithms. In this article, we propose a new method for estimation of parameters using least square method algorithm for Lithium-Ion Batteries (LIBs) for Electric Vehicle (EV) applications. In this, a second-order RC equivalent circuit model is considered for estimation of parameters of NMC battery. The estimation of parameters and relation between OCV-SOC nonlinear is obtained from the experimental data. This proposed method shows that the calculation of parameters is fast and efficient.
Association Between Problematic Internet Use, Psychological Well-Being, and Sleep Disorders Among Youth During COVID-19
Authors: Robert James , Kadhiravan S
Published: April 2022

Psychologists can play an important role in understanding and promoting Sustainable Development Goals (SDG) as many of the SDGs are connected to both the science and profession of psychology that address prominent global challenges we face such as improving good health and well-being. This study aimed at exploring the association between problematic internet use, psychological well-being, and sleep disorders among youth during COVID-19 pandemic. 448 college students were selected through stratified random sampling and the data was collected using internet usage scale by Robinson and Mukundan, 2016; general health questionnaire - 28 by Goldberg, 1978, and sleep disorders symptom checklist-17 by Klingman, Jungquist, and Perlis, 2017. Results revealed that the problematic internet use of youth had a significant positive association with poor psychological well-being and sleep disorders. Linear regression model depicted that 19% of psychological well-being and 12% of sleep disorders were predicted by browsing sexual sites and influence on behaviour dimensions of problematic internet use.
Experimental Investigations on Durability Characteristics of Bamboo Fiber Reinforced Self-Compacting Concrete with GGBS and Alccofine
Authors: Kavitha Sajjala , D G Ashwini
Published: April 2022

Cement is costly and produces a lot of CO2 while manufacturing and mixing in the concrete. The objective of the current investigations is evaluating the strength and durability performance of the self-compacting concrete with GGBS, Alccofine, and inclusion of 1% bamboo fibers, which produce less CO2 emissions. The comparative assessment with BFRSCC and NSCC was done by observing the significant increase in resistance to loss in compressive strength and weight against sulphate and acid attack up to 90 days with 5% H2SO4 and Na2SO4 solution, later it started degrading on the surface. The compressive strength of NSCC and BFRSCC with GGBS and Alccofine before and after exposing to the acid for 90 days duration was observed as 9% reduction. The weight loss index for NSCC is 1.02 and BFRSCC is 1.0. The compressive strength of NSCC and BFRSCC before and after exposing to the alkaline for 90 days duration was observed as 10% reduction. Alkaline resistance of BFRSCC increase as the rate of weight reduction diminishes as the number of submersion days increments, which means that indication of durability. The weight reduction index for BFRSCC is 1 and NSCC is 0.52.
Movable Smart Dust Bin Using IoT
Authors: M Narayana Moorthi
Published: April 2022

This paper discusses more on the smart way of collecting the waste from people and segregation and decomposition methods using IoT interface techniques. This IoT interface consists of a development board from Arduino and interfaced with many sensors like IR, motion, and ultrasonic sensors. It is also having an option to interface alarm and display like 7-segment LED and LCD. When the people walk near to the dust bin for throwing the waste materials, the dust bin automatically opens the door and closes in a time interval set by the designer. Also these dust bins are smart to communicate to the central administrator for the status of the bins like empty or full. Once the full signal is reached to the central administrator, they can easily replace those dust bins. The dust bins brought to the central location can go further classification based on waste segregation automatically, which ensures efficient operation in waste management.
Researching the Optimal Method of Balancing the Sewing Line with T-Shirt Product in the Garment Industry in Vietnam
Authors: Phan Thanh Thao , Le Thi Mai Anh , Phan Duy-Nam , Tran Ngoc Son
Published: April 2022

The garment industry is currently one of the largest industries in Vietnam. In 2021, Vietnam became the second-largest garment exporter in the world after China. Towards decent work and economic growth, garment businesses in Vietnam are very interested in improving productivity and quality, one of the measures is balancing the sewing line. Currently, Vietnamese garment enterprises mainly use the method of line balancing according to experience, leading to the low line balancing efficiency, the line balancing performance is not stable, and the transfers of the semi-finished products between working positions are not optimized. Utilizing the theoretical basis of methods of line balancing, the level of balance of the sewing line has been researched, calculated, and compared based on the evaluation criteria to find the most optimal method. In this research, 5 methods of balancing line are used to balance the t-shirt sewing line in the garment industry in Vietnam and found the most optimal method in 5 methods.
Analysis of the Impact of Yoga on Health Care Applications and Human Pose Recognition
Authors: Vallabhaneni Nagalakshmi , Prabhavathy Dr. P.
Published: April 2022

Human Pose Recognition is a powerful computer vision strategy that has revealed several problems. Separating human exercise is beneficial in various fields, including health observation, biometrics, and a wide range of medical care applications. These days, yoga poses are famous for practice because they can improve muscular quality and increase breathing exercises. However, because evaluating yoga stances is complicated, experts will be unable to profit from the activities in the long run. For people who want to practice yoga at home, IoT-based yoga systems are required. Several studies have suggested that camera-based or wearable devices can better arrange yoga pose discovering approaches. On the other hand, camera-based methods have security and protection issues, and wearable device-based strategies have proven irrational in existing applications. A solid foundation and ongoing research in pose assessment are required to construct such a framework. First, using real-time data, this paper investigates the effect of yoga on people experiencing various anxiety levels. Second, a comprehensive survey of yoga pose detection frameworks, ranging from machine learning to deep learning techniques and assessment measurements, was carried out.
Ascorbic Acid Nano-Dots with ROS Scavenging Properties for High Contrast Fluorescence Imaging
Authors: Malik Megha , Chand Preeti , Kulanthaivel Senthilguru , Mishra Prashant , Prasad Tulika
Published: April 2022

L-ascorbic acid (AA) is a hydrophilic, non-toxic, and ROS scavenger. Nano-formulation approaches yield nano-probes with excellent aqueous solubility, low toxicity, biocompatibility, and antioxidant activity. Herein, L-AA was used as carbon source for synthesis of CDs. AA-CDs were synthesized by one step-hydrothermal method, which exhibited strong absorption peak at 340 nm and emission peak at 420 nm. XRD confirmed amorphous nature of AA-CDs. These AA-CDs were biocompatible and also showed negligible toxicity against fungal pathogen (Candida albicans). Further, cellular uptake of AA-CDs was determined by monitoring their internalization into the microbial cells. AA-CDs showed best internalization in 60 minutes. Confocal microscopy images show internalized AA-CDs in the fungal cells, which is visible as bright blue fluorescence inside the cells. We conclude that AA-CDs is eco-friendly and biocompatible nano-probe for bioimaging.
The Role of Smart Technologies in Enhancement of Supply Chain Visibility
Authors: Modgil Anuj , Sakhuja Sumit
Published: April 2022

The Globalization, intense opposition, and robust prominence on getting the highest satisfaction scores from the customers has been considered as one of the driving factors for the upsurge in the research of the introduction of smart technologies in material movement enhancing the visibility of the supply chain. If the supply chain function of the organization is capable enough to handle complex requests along with transparency in information visibility and decision support, then the stakeholders/consumers tend to trust the operations more. It would be apt to state that visibility is currently an enabler for supply chain relationship collaboration, business planning, and decision support.
Warped Product Generic Lightlike Submanifolds of a Kaehler Manifold
Authors: Jha Nand Kishor , Kumar Sangeet , Kaur Jatinder
Published: April 2022

We prove the non-existence of warped product generic lightlike submanifolds of the type M⊥ ×λ MT in an indefinite Kaehler manifold. Then, we prove the existence of generic lightlike warped product submanifolds of the type MT ×λ M⊥ in indefinite Kaehler manifolds. Then we present some necessary and sufficient conditions in terms of the canonical structures f and w for an isometrically immersed generic lightlike submanifold in an indefinite Kaehler manifold to be a generic lightlike warped product.
The Importance and Value of Art, Design in Development of Society
Authors: Varshney Lovely
Published: April 2022

Art has been present for many years in our society. Therefore, even when man was not civilized, it was still with human. However, many of us don’t take art very seriously. We think it’s something anyone can do. But art needs lots of creativity and is vital for our society for the following reasons. As: natural behavior, Media for communication, cultural awareness, attracts tourism, child development, and improved academic performance etc. It is possible to develop a strong sense of community belonging with the help of art. Art is a very valuable part of our culture. Can you imagine a world without art? It’s unpleasant. Because art is helpful in the development of our life from the first stage of our childhood and is always helpful in some form or the other in life. Through this paper it can be said that our society gets a strong development from art.
Encryption with DNA: The Manipulation of DNA to Deal with the Cyber Security Attacks
Authors: N Swaroop KUMAR
Published: April 2022

The witnessed technological developments in wireless communications have made an individual’s dependency on online transactions. As is the nature of wireless, the wireless networks are more prone to man-in-middle attacks, which are intended for crucial information theft, modification called active and passive attacks. Recent investigations of the application of biology DNA (deoxribonucleic acid) to encrypt the data have shown improved security results. The proposed technique is an advanced version of DNA-based cryptography, is a hybrid technique of Improved Pig-Pen Cipher and DNA encryption techniques, uses a 256-bit length key to encrypt the message with prescribed shapes. This algorithm takes less processing time and it will work faster for encryption and decryption with minimum throughput. The DNA-based cryptographic algorithms were defined by using the biological properties of DNA strands.
A Novel Image Watermarking Method Against Crop Attack Using Two-Step Sudoku Puzzle
Authors: Mishra Priyanka , Ahuja Rakesh
Published: April 2022

Digital image watermarking is used to secure the digital images. There are several methods for securing the images. But there is probability to destroy the information by an attacker. Attacker can damage even a single segment of watermark image. There are many techniques to overcome from several attacks through which the cropped section of an image can be recover and there is no need to detect watermark. A robust image watermarking method against various cropping attack by the use of Sudoku puzzle is suggested in this paper. This method is build upon the attributes of permutation of Sudoku matrix and it gives Sudoku table has 9x9 formats, i.e. uniformly divided into multiple sample of images in the sections of the original image. Justified Sudoku result is explained for the embedded and extraction of the watermark image. The standard format of Sudoku having 9x9 matrix is used and the method expressed the hardiness up to great extent against crop attack.
Sustainable Social Awareness Measurement at the Industrial Work
Authors: Martinez Torres Rosa , Rivera Acosta Patricia
Published: April 2022

Sustainable Social Awareness Measurement at the Industrial Work. This document takes as a starting point the theoretical construct of Sustainable Social Awareness defined as the thoughtful capacity to identify the modifications in the environment produced by individual and collective actions to establish strategies for the Sustainable Development. This conceptual approximation made possible to carry out a methodological design to build a practical instrument that could measure the Sustainable Social Awareness Level in people that was related to industrial work. The construction of this instrument it is described from the stages of the theory formulation, the legitimacy and objectivity to endorse that it is a useful investigation tool to measure the sustainable parameters. The aim of this instrument is to encourage the environmental management culture through the use of 4 Sustainable Developing objectives, minimizing the own bias of subcultures found in the different ranges and roles in the work environments.
Dendrimers: Versatile and Revolutionary Nanocarriers for Infectious Diseases
Authors: Zahoor Ishrat , Singh Sukhbir , Sharma Neelam , Behl Tapan , Wani Shahid Nazir
Published: April 2022

Dendrimers, type of revolutionary nanomolecules, have gained a lot of popularity in recent years. These compounds can be developed and transformed in a variety of ways to produce a molecule that fulfills the requirements. As a result, dendrimers are the subject of extensive research in a variety of nanoscience domains, including one of the most promising biomedicine. Dendrimers are polymeric nanoparticles offering a huge number of benefits in biomedicine because of their nanometric dimensions, biocompatibility, multivalency, and structural perfection. In this review, we provide an overview of dendrimers, and the several types of dendrimers available, and their applications in the treatment of viral infections, as well as briefly summarize the recent patents on dendrimers used in viral infections. Dendrimer use is expected to be a game changer in the treatment and prevention of infectious diseases that continue to plague humanity, and it has the potential to dramatically improve the quality of people's lives.
A Comparative Analysis of Healthcare Monitoring Systems Using WSN
Authors: Sharma Deepika , Singh Jaiteg
Published: April 2022

Wearable sensors and forms of social media are very helpful in providing a new way to collect medical data for effective healthcare monitoring. Technological solutions have benefited people's daily lives practically in every industry. Sensing devices that detect and gather signals from the sources such as human, environment, and machines, design the response accordingly. Innovative sensor techniques are used in a variety of applications in healthcare, production, lifestyle, fitness, and everyday life. These sensors can be used as wrist watch, implanted under the body or skin, and can be attached with the treads of clothes. Wearable sensors, which have transmission, computing, storage, and sensing capabilities, are known as a wireless body sensor network (WBSN). The Internet of Things (IoT) is an emerging information technology that enables performance enhancement and improved solutions in the health sector. This review gives a brief outline of the various types of sensors that are used for healthcare monitoring, WBSN components, and its applications.