bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Demographic Variables on Determinants of Internet Banking Adoption
Authors: Fathima Aysha
Published: April 2022

The proliferation of internet technology and financial innovations has globally revolutionized the delivery of banking services. Internet banking offers substantial benefits, such as reduced transaction cost, convenience, and flexibility to the customers as well as to the banks. Despite the apparent advantages, prevalence of internet banking services is at its nascent stage. The study aims at determining the consumer psychology and user’s perception towards internet banking. Extensive study on prior research and available literature has been made and variables are identified to study the customer perception on internet banking adoption. Descriptive research was undertaken and primary data were collected through self-administered questionnaires, which yielded 602 valid responses. Influence of demographic variables and psychographic variables on the determinant was analyzed. The results revealed that demographic variables significantly influence consumer perception on internet banking adoption. Implications would help bank managers and policy formulators to build customer specific strategies to escalate usage of internet banking services.
Effective Debye Temperature and Quasi-Crystalline Behavior of Water at Elevated Pressure and in the Temperature Range: 353.15 K to 473.15 K
Authors: Dhiman Monika , Gupta D P , Dogra Ankit , Singh Devinder P , Upmanyu Arun
Published: April 2022

Based on quasi-crystalline model for liquids, Debye temperature for water has been estimated in the high-pressure region (0.25 GPa -3.5 GPa) and temperature range: T=353.15 K to T=473.15 K. The obtained results infer that Debye temperature changes to a greater extent as the pressure increases from 0.25 G Pa to 3.5 G Pa, whereas no significant increase is observed with increase in temperature from 353.15 K to 473.15 K. The reasonable values of θD
(~180 K to 423 K) are the strong evidence of existence of effective Debye temperature and quasi-crystalline state in water at elevated pressure. Present study also indicates that molecular motion of water is more sensitive to increase in pressure rather than increase in temperature.
Comparative Analysis of Critical Factors for Nozzle Consideration in Dust Explosion Testing
Authors: Shenoy Vignesh , Patwardhan Samarth , Sakpal Nilesh , Kadam Harish
Published: April 2022

Despite extensive research and efforts in handling and mitigation of dust explosion, accidents involving dust explosion take place. The mention of dust explosion in the literature dates to 1785, but industry professionals from oil and gas are unaware of this hazard. An incident is reported leading to the demise of two workers while attempting to unload barite powders. The process industry is highly dependent on powdered chemicals, which are used as an additive in drilling fluid and cements, such as barite, bentonite, calcium carbonate, lead sulphides, NaOH, etc. The explosive behaviour of these dusts can be determined with the help of the Kst values. The Kst value is dependent on the confinement, dispersion of particles, size of the dust particle, the source of ignition, and presence of free oxygen. Usually, an experimental setup of 20L sphere with two different types of nozzles i.e., perforated annular nozzle or rebound nozzles are majorly used to calculate the value of Kst. While the setup is being prepared at our end, this work presents a comparison of the performance of these nozzles using Computational Fluid Dynamics (CFD) as a tool, to understand the different parameters of dispersion, and the impact they have on the dust explosion.
Dosimetric Comparison of Photon Beams Using CIRS Thorax Phantom to Evaluate Monaco Radiotherapy Treatment Planning System
Authors: Saini Amit , Pandey V P , Singh Avtar , Kumar Pankaj
Published: April 2022

In three inhomogeneous mediums, the performance of different algorithms for Flattening Filter Free (FFF) photon beams and Flattening Filter (FF) photon beams was evaluated. The three CT image sets of the CIRS phantom, each including an ionization chamber in the lung, bone, and tissue locations, were collected using the SAD configuration. For flattened and non-flattened photon beams, the corresponding Treatment Planning System (TPS) calculated and ionization chamber measured doses in the centre of chamber (in the three mediums) were compared. In lung structure, higher deviation was recorded in 10X10 cm2 field by all the three algorithms. These deviations are larger in magnitude, both FF and FFF, compared to water and bone mediums. Thus, both FF and FFF beams performed differently in lung, water, and bone mediums. Algorithms contribute to one of the potential sources of radiation delivery uncertainty.
Influence of Autonomy, Skills, and Knowledge: Role Efficacy on Discretionary Effort of Indian Retail Managers
Authors: Siddharth S Naga , Chand Pawan Kumar
Published: April 2022

The purpose of this study was to explore the relation among role efficacy, discretionary effort, autonomy and skills, and knowledge. A structured questionnaire was administered to 480 retail store managers from Bengaluru City. The proposed research hypotheses were evaluated using the PLS-SEM model. Role efficacy was significantly linked to discretionary effort. In addition, the evaluation of discretionary effort reported a significant positive impact of autonomy and skills and knowledge. The study empirically supports the impact of role efficacy on discretionary effort of retail store managers. Further, there is a practical utility of the findings in support that clear definition of role will spontaneously evoke discretionary behavior, which is further supported by manager’s skills and knowledge, and autonomy they experience at work.
A Feminist Perspective on the Food and Gender Based Marketing Narrative
Authors: Chhabra Shreshtha , Fukey Leena N , Wankhar Varynia
Published: April 2022

Nutrition to the body is a basic element for sustenance and growth biologically, provided through food. This paper aims to understand why there is a difference between foods that are marketed gender-specifically to males and females separately. There have been a lot of participative changes in the household kitchen activities since the birth of the concept. However, certain things have continued to remain the same either as a result of tradition, preference, or systemic societal loop. This paper aims to categorically understand this patterned behaviour behind gender based food marketing and the consequent consumptions so as to find a more sustainable and inclusive approach for food marketing for the firms of this industry. The aim is also to shed light on the impact of such practices on the psychological level of the individual buyer that stems to form a pattern, creating a recurring practice out of habit, over internal choice.
FPGA Implementation of Adaptive Sampling Algorithm for Space Applications
Authors: A Kadar A , Ramalingam Parameshwaran , S Rithanathith , Vasudeva Rao Gurugubelli , G Lakshminarayanan
Published: April 2022

Adaptive sampling is a signal processing technique used in various aerospace applications. Many adaptive algorithms used for instrumentation and telemetry systems process the signal in the frequency domain, which leads to high computational cost and power. ASA-m solves this problem by performing all operations in the time domain. It estimated the subsequent sampling frequency to collect meaningful information based on mean velocity prediction. This novel algorithm is implemented on the Spartan 3E FPGA board to study the device power and hardware utilization for real-time vibration signal datasets. The significant recovery of data with a lesser number of samples and lower hardware utilization for the state of art algorithm ASA-m is brought out in this paper.
Sustainability in the Built Environment: Are We Doing Enough?
Authors: Wankhar Varynia , Fukey Leena N
Published: April 2022

Sustainability is one of the key requirements for any business; however, there exist gaps in recognizing and aligning these sustainable practices with everyday operational activities. With this in mind, this study aims to explore the current awareness level in business leaders and stakeholders about corporate responsibility towards sustainability and reflects on the obstacles encountered by them in diverse built environments, laying the groundwork for addressing these hurdles and contributing towards the overall sustainable development. The study uses a thematic approach to analyzing data with the help of NVIVO12 software. The major findings include Energy Auditing process - not carried out frequently; both sustainability and profitability go hand in hand; absence of technology such as AI and Sensor technology has contributed to the built environment's energy performance gap; there is a knowledge gap that exists among business leaders in understanding the concept of sustainable development.
Modeling and Simulation of TiO2/Se Sensor for Detection of CO Gas Using Comsol Multiphysics
Authors: B Varun Kumar , S Darshan , BW Shivaraj , Krishna M , G Satheesh Babu , C Manjunatha
Published: April 2022

Metal oxide sensors are being used from past three decades. They still suffer from some disadvantages, such as high operating temperature, high power consumption, sensor stability, and cross sensitivity. Since the cost of development of these sensors is high, it is important to develop a mathematical model to economically predict the behavior of these sensors. In this context, research work focused on evaluating the performance of these sensors using numerical analysis software. In this work, modeling and simulating the gas sensing properties of Titanium dioxide/Selenium (MOS) sensor material to detect carbon monoxide (CO) gas using Comsol Multiphysics software has been proposed. The gas sensing simulation was performed using ‘Reaction engineering,’ ‘Transport of diluted species,’ ‘Surface reactions,’ and ‘Laminar flow’ interfaces of Comsol Multiphysics software on Titanium dioxide/Selenium material. Two kinds of simulations, space independent and space dependent simulation, was performed on this material in a constant volume gas chamber. The geometry was created in space dependent node, Comsol. The carbon monoxide gas was injected through gaussian pulse feed inlet at different concentrations (1 ppm, 5 ppm, 10 ppm, and 15 ppm) into the gas chamber and MOS sensor layer was allowed to reach steady state. The adsorption simulation on sensor layer exposed to carbon monoxide (CO) gas shows the change in surface concentration of the adsorbed CO molecules on the sensor layer.
Development and Control of a Photovoltaic Fed Flywheel Energy Storage System for Power Conditioning
Authors: Mathivanan Vijayalakshmi , Ramaprabha Ramabadran
Published: April 2022

The concept of newer energy storage and power conditioning using suitable controllers in a solar photovoltaic fed Flywheel Energy Storage System (FESS) is presented in this work. The power from a solar photovoltaic arrangement is harvested using a Sinusoidal Pulse Width Modulated (SPWM) DC-DC converter to provide a controlled, efficient, and regulated output to drive the FESS. The FESS is designed with the BLDC motor as prime mover that drives a flywheel of cylindrical mass of suitable material and radius. The alternator connected in the same shaft of the prime mover and flywheel, powers an electrical load of 1kW. The dynamic stability of the system is taken care by the flywheel, while reliability is ensured using a well-designed controller unit. The solar PV arrangement with its controller was simulated using MATLAB, the flywheel stress was found using ANSYS. The entire FESS was simulated and based on the simulation results. A working model was fabricated, installed, and tested for the required operation. Test results were compared. Graphical representations are given to substantiate the working of the flywheel energy storage system.
A Review of Optimisation Algorithms Used in Proportional Integral Controllers (PID) for Automatic Voltage Regulators
Authors: Sivanandhan Athira , Aneesh V
Published: April 2022

The voltage in electrical grids is maintained at its nominal value by automatic voltage regulators (AVR). In AVR systems, proportional-integral-derivative (PID) is the most popular controllers due to their robust performance and simplicity. Controlling the parameters of proportional–integral–derivative (PID) controllers, which are used in AVR technology, is a nonlinear optimization problem. Optimization issues are of great importance to both the industrial and scientific worlds. A PID controller's objective function is designed to minimize the settling time, rise time, and overshoot of the step response of the resultant voltage. This paper presents the performance comparison of six optimization algorithms, such as Enhanced Crow Search Algorithm (ECSA-PID), Slime Mould algorithm (SMA-PID), Future Search Algorithm (FSA-PID), Whale Optimization Algorithm (WOA-PID), Equilibrium Optimizer (EO-PID), and Archimede’s Optimization algorithm (AOA-PID) used in recent literatures.
Comparative Study of High-Resolution Computed Tomography Thorax in Unvaccinated and Vaccinated COVID-19 Patients
Authors: Bhatt Mahesh Chandra , Upmanyu Arun , Bansal Subhash Chand , Garkoti Harish Chandra
Published: April 2022

Comparative study of High-Resolution Computer Tomography (HRCT) Thorax of 153 COVID-19 patients (includes unvaccinated as well as vaccinated patients) have been reported to check the severity level of the COVID-19 pulmonary infection. Investigation included only those patients those who had tested positive for the virus on RT-PCR. All patients underwent HRCT Thorax using radiation optimizing protocol. The present study indicates that COVID-19 pulmonary infection is still seen in the vaccinated patients. However, the severity in the vaccinated patients is less than the unvaccinated patients.
IoT Enabled Smart Irrigation and Cultivation Recommendation System for Precision Agriculture
Authors: Jesi V. Elizabeth , Kumar Anil , Hosen Bappa , D Stalin David
Published: April 2022

Agriculture is a separate economic sector. In agriculture, India ranks second. Agriculturists stress the need of fertilization and crop rotation. Today's farmers are unable to produce the maximum amount of food due to technological advancements. The major focus should be on using and collaborating with emerging technology in agriculture to boost output. The Internet of Things (IoT) helps estimate crop yields and other factors that contribute to high productivity. Soil temperature, pH, and water level all play a role in delivering optimal crops and increasing productivity. This study proposes "ACRIS: Agriculture Cultivation Recommender and Smart Irrigation System" to help farmers who use IoT in precision agriculture to increase crop output. The ACRIS system has three modules. "Accurate Farming Recommendations Using an Agriculture Factor-based Relevance Vector Analysis Model" is the first ACRIS module. Because of this, our model offers a more favorable situation based on relevant vector analysis. The second module is "AISM System: Advanced Irrigation Planner for Precision Farmers." The module forecasts soil moisture and organizes irrigation for farmers using precision agriculture to decrease water usage and boost productivity. The "AMOP System: ACRIS Multiparameter Optimization Systems for Precision Agriculture" module compares water content at different phases of plant development and integrates IoT technologies into agriculture to ensure optimal crop growth and water stability. The agricultural production is enormous, and it is vital to farmers' income.
A Comprehensive Study on Electric Vehicle Charging Infrastructure
Authors: James Jisha , Margaret Vijaya
Published: April 2022

Issues of global warming and hike in the fuel price have taken electric vehicles (EVs) to be popular among the ordinary people. But the main drawbacks are related to the vehicle price and the scarcity of charging infrastructure. In this paper, a review of various charging infrastructures of electric vehicles that are existing and emerging are discussed. The paper also gives an overview of the charging standards for EVs.
Analysis of Approaches of Trustability and Issues in Cloud Computing
Authors: Singh Amanpreet , Kaur Amandeep , Gupta Deepali
Published: April 2022

Cloud computing is a technology still used today. The cloud is used by a large number of people and can belong to any organization. There are many issues, such as security, trust, and reliability. To help end-users and protect them from various attacks, there is a need to analyze the existing Trustability methods. The word "Trustability" comes from two factors: trust and reliability. In a cloud environment, one needs to design a framework that calculates Trustability. But first, there is a need to analyze and apply current Trustability methods. Trustability factor that determines how reliable a device is for a given attack. The trust management system provides support to cloud administrators and customers. This article analyzes the current problems of cloud computing and applies the Trustability method.
An Overview of Semantic Based Document Summarization in Different Languages
Authors: Ganesh Amal , Jaya A , Sunitha C
Published: April 2022

The evolution of Artificial Intelligence (AI) gave insight into how humans should interact with machines. Natural Language Processing (NLP) is an area under AI, which aims to minimize the communication gap between human and machine. Text summarization is a sub-domain of NLP, which primarily focuses on summarizing text documents into a meaningful summary. Text summarization is useful in the areas, such as media monitoring, search engine optimization (SEO), question answering systems, etc. Lots of research works are carried out in the area of text summarization. A majority of the research works are adopted syntactic approaches. However, the semantic based approaches provide more meaningful summary compared to syntactic approaches. Due to the complexity of the semantic based methods, only few works are reported especially in Indian languages. In this paper, an overview of various semantic based text summarization methods are explored. An extensive review is done in languages, such as English, Arabic, Chinese, Hindi, Kannada, Tamil, and Malayalam. At the end of this survey, a critical analysis was done on various semantic based text summarization techniques. This analysis will not only give insights to potential prospective researchers, but also come up with an improved framework or method for semantic based abstractive text summarization.
A Comparative Study of the Influence of Core Competencies of Performance Appraisal System Effectiveness in Reliance Jio Infocomm Limited and Bharat Sanchar Nigam Limited in Rajasthan
Authors: Gupta Mukesh Chand , Goyal Ruchi
Published: April 2022

The research paper is based on analyzing the influence of core competencies on the effectiveness of performance appraisal systems in telecom service providing organizations in Rajasthan (Reliance Jio Infocomm Limited and Bharat Sanchar Nigam Limited (BSNL). As we are already aware that several companies suffer from poor employee performance as a result of management's ambivalent attitude toward performance appraisal systems. A performance appraisal system has been suggested as a possible paradigm for achieving high levels of effectiveness and the success of an organization depends upon various factors and, more importantly, on core competencies of performance appraisal system, which keeps employee morale high. The researcher has investigated the difference in the effectiveness of performance appraisal system and how it depends upon core competencies of the organizations. Convenience sampling method was used to pick 100 respondents from Reliance Jio and BSNL each. A standardized questionnaire and a personal interview were used to collect data. The Regression Analysis and Analysis of Variance (ANOVA) were used to analyze the data for the required result. The findings indicated that there is a significant difference in the effectiveness of the performance appraisal system due to difference in the utilization of core competencies in Reliance Jio and Bharat Sanchar Nigam Limited (BSNL).
Effectiveness of Electrocardiogram Interpretation Intervention (ECGII) on Knowledge and Skill Among Nursing Students
Authors: Pandurangan Hariprasath , Balasubramanian N , Raja A , Malhotra Reetu
Published: April 2022

The cardiovascular diseases are the most common reason for premature deaths and disability, which is a major cause of increasing health care costs, particularly in developed nations, but also becoming more frequent in the developing world. Nurses have the responsibility of being the professionals who are most involved in ECG monitoring. The researcher developed ECG Interpretation Intervention (ECGII) on knowledge as well as skill for the nursing student. The MANOVA test was computed to compare the knowledge and skills between the experimental and control groups before that homogeneity of the groups is tested by Levene’s test. The result of the study shows that ECGII was effective enhancing the skill and knowledge among the students. Therefore, it can be concluded that ECGII is very effective in increasing students' knowledge and skills in ECG and interpretation among nursing students.
Medical Image Denoising and Classification Based on Machine Learning: A Review
Authors: Chaturvedi Saumya , T Aditya Sai Srinivas , R Karthikeyan , M Vijayaraj , A Nirmal Kumar , M Sangeetha
Published: April 2022

Advances in medical imaging technology continue to create new possibilities for the collection of medical data that are important in timely and accurate diagnosis, in monitoring progress, and in the treatment of various diseases and in medical research. The capabilities of the new skills arise mainly from the technologies depicted in the vivo interior of the human body. Thus the study of the morphology and function of the various organs and the detection of any pathogens is achieved in a very direct way. The "source imaging data" provided by them is important information, but their large number is constantly growing, but their nature also creates the need for further processing with the help of computers. The primary purpose of processing images is to use denoising that includes the elimination of noise due to technical errors and feature preservation. Following noise reduction, the image segment, i.e. the location or areas of interest in an image, is the central objective of the process. In addition, usually, the complexity of the data in large volumes and charts requires a lot of time to study and a lot of experience to do their interpretation correctly. Therefore, in many cases, its automation using machine learning seeks out the partitioning process, but also categorizes images, i.e. classifying an image or parts of an image into specific categories. In most applications, machine learning performance is better than conventional techniques.
Ultrasonic-Assisted Sulfonated Biochar Derived from Rice Husk for Catalytic Hydration of Phenylacetylene
Authors: Singh Adhish , Kapoor Mohit
Published: April 2022

The Rice husk (RH) was carbonized and post-synthetically ultrasonicated with sulfuric acid to yield the solid acid catalyst (RBs). The presence of acidic groups was confirmed by X-ray photoelectron spectroscopy (XPS), and X-ray energy dispersion spectroscopy (EDS). In the present work, the prepared catalyst was tested against hydration of phenylacetylene (PA) in aqueous media, allowing the facile separation of catalyst for recycling. The biochar-based acid catalyst assisted in the lowering of activation energy needed for the synthesis of the Markovnikov addition product.
Representation of the Postcolonial Migrants’ Multi-Religious Cultures and the Fantasy of Christianity in John Lanchester’s Capital
Authors: P Vijay , M Vijayakumar
Published: April 2022

Literary writings have broadened that the world broaches the religious and cultural discrimination between the imperialist countries and the colonized immigrants. John Lanchester spreads over the conflicts of the multi-religious culture of migrants and the pride of the Christmas festival in European countries in his novel, Capital (2012). The Christian countries have defeated the migrants by showing pretentious prevailing city life in London. Unfortunately, some migrating laborers are illiterate to encounter them all. He forces migrants not to convert themselves from one religion to another for getting jobs. He also emancipates his presser to look after the life of migrating people in European countries. He then indirectly talks about the three religions: Hinduism, Islam, and Christianity. He proves that London is a place for Christianity, which is reflected in Christmas decorations. This novel elongates many themes related to the social and economic exploitation of poor migrants at Pepys Road in London.
A Critical Analysis of Technology Acceptance Model (TAM) Towards Adopting BIM by Architects in India
Authors: Ahmad Julfikar , Ahir Chandika , Arora Kritika , Kathpal Jasleen
Published: April 2022

In India architecture, engineering and construction (AEC) industry has been in a transitional phase in the context of technology that keeps changing and upgrading at a continual pace. Building Information Modeling is deemed to be the latest development in the AEC industry at pan India level where architects are the first and foremost professionals that have adopted this high tech and new age technology in their architectural practices but unfortunately, very a smaller number of architectural firms are working on the projects through implementing BIM that too not in complete mode. BIM helps to achieve the goal by decreasing cost, minimizing human errors, increasing productivity, reduce the project delivery time to create a quality of output within all relevant domains in the AEC industry from micro to macro level. The primary aim of this research is to identify and recognize the setbacks in the way to adopt it by architects in India.
Transformation of the Design Studio in New Learning Spaces: Virtual Design Studio in Architecture Pedagogy
Authors: Harry Sachin , Kumar Ambuj
Published: April 2022

Architectural education has come a long way since the first formal school of architecture, École des Beaux-Arts, was started at Paris, France in 1816. 21st century architecture is constantly evolving through changes in technology, and now in 2020-’21, COVID-19 pandemic has brought the concept of architectural education going online. Due to the forced disruption to the traditional pedagogical environment, a new pedagogical paradigm has been established through online theory and studio classes. This has brought about a challenging design pedagogy where teachers and students are reaping the benefits of technological advancement but without any prior training. This in turn has raised the question, how can architecture be taught effectively through virtual means? In response, this paper conducts literature review and a questionnaire survey amongst students and teachers of Chandigarh region on experiences of virtual teaching in the field of architecture and seeks to address the issues concerning virtual architectural pedagogy.
The Impact of Globalization and Economic Growth of Dhokra ART - Chhattisgarh- India
Authors: Potdar Mahendra Jayprakash , Avachat-Shirke Mukta
Published: April 2022

Dhokra art is an example of Indian tribal art. This is a highly popular style all across the world. This style was initially known as "tribal," but it developed with time. In the beginning, it was limited to the Bastar region, but after some time, this region began to progress because of this art and globalization. Globalization had an impact on art and the society of Bastar. So this art is a major part of the Bastar economy. Its exports expanded not just within the country but also internationally, allowing these families to prosper financially. As a result, globalization has benefited both this art form and its economy. It plays a significant role in rural industries and the survival of rural people. Therefore, the art market is developing globally. Today, this art is an important source of employment in the Bastar region.
Assesment of Chemical Oxygen Demand Reduction from Textile Waste Water by ZnO Nanofilm Reactor
Authors: Khandelwal Shivangi , Dave Mayank , Solanki Deepanshu
Published: April 2022

This research paper presents the results of a photocatalysis-based treatment that uses ZnO-based semiconductors coated on galvanized iron plates attached to a rotating reactor and provides the result in the form of change in parameters like Chemical Oxygen Demand (COD). Other treatment units like sedimentation aided with coagulation and flocculation, sand filter, and activated carbon filter were used before and after the nano reactor respectively. It was found that for galvanized iron substrate there is a reduction of 85.76% when wastewater is retained for 2 hours in a reactor, and subsequently 92.80%, 93.53%, and 94.52% for a retention time of 4 hours, 6 hours, and 8 hours.
Decentralized EHR Storage Using Blockchain
Authors: Sawant Tejas , Idayakumar Pritamsunder , Sabkale Amit , Pampattiwar Kalyani
Published: April 2022

Traditionally the health records of the patient are stored in a hospital database and the hospital administration or the healthcare provider generally retain access to this medical data. The health records of patients are scattered among different hospitals. Hence, it becomes difficult to access the historical data of the patient when needed. These results are delayed and possibly incomplete data provided by the patient to their doctor. These flaws can be overcome by the implementation of an Electronic Health Record (EHR) system. Blockchain provides a decentralized platform for storing and accessing EHR, which is almost impossible to tamper with. Every user in the network acts as a node and has a ledger that stores all the data, which means the possibility of a loss of data is extremely low. Our work aims to simplify the accessing and managing of patients’ historical medical records using a decentralized application and blockchain technology.
Hyperspectral Image Classification Using Deep Learning Model
Authors: Annam Sangeetha , Singla Anshu
Published: April 2022

In today’s scenario, the classification process is required for numerous purposes, including planning of modern cities, agriculture production, and monitoring of environmental factors. So far, the optimal categorization level has remained unattainable. Manual feature-based approaches, unsupervised feature learning methods, and supervised feature learning methods are the three types of remote-sensing images classification methods available. Supervised deep learning methods have recently been widely used in a variety of remote sensing applications, including as object detection and land use scene classification. In contrast to traditional computer vision tasks that only use the spatial context, this article can improve hyperspectral image classification by utilizing both spatial context and spectral correlation. To achieve this, the benchmark hyperspectral dataset with CNN deep learning model for hyperspectral image classification is taken and analyzed for different learning rates for SGD optimizer. The accuracy percentage were maximum when the SGD optimizer were trained with maximum learning rate. As the learning rate decreases, so does the accuracy percentage.
IoT Based Humidity, Temperature, and Gas Monitoring Using Arduino UNO
Authors: Mohammed Saifuddin Ahmed Shaik , Aluri Akhil , Duru Kamala , Venkatachalam Praneash , Karra Chanakya , Kalluri Sujith
Published: April 2022

Controlling the electronic devices through the Internet of Things (IoT) interfaces is essential in our mundane life. By observing the important parameters, controlling of the system can be performed which produces important pieces of information by keeping in mind the functioning of these e-devices. The outcomes of the environmental observances are associated with this scrutiny. The collected information can be used to create actions such as heating of devices, dominant cooling, or long-term statistics. Through the help of network or any other android application, data can be uploaded on the cloud. In the present study, Arduino UNO and Wi-Fi modules are used to process and transfer the sensed data to the Thingspeak cloud. Thus, the cloud platform (Thingspeak) contains the parameters that are received. Any variation in the surroundings is reported in the form of a database through the cloud computing method.
Brain Tumor Segmentation Via Outer Totality Cellular Automata
Authors: Sharma Sandeep
Published: April 2022

Brain tumor is a very big and serious problem, so exact detection of this problem may help doctors to treat the patient effectively. Brain tumor segmentation is an application of image processing. This paper presents a cellular automata based method for identifying and segmenting the suffered region by processing MRI, CT scan, and X-ray images. Cellular automata are the grid or cell based techniques, which calculating new value for each cell until the desired value not achieved. The proposed technique defines a unique threshold function by analyzing all the outer neighbor cells and the cell itself. The threshold function is to be applying on all the image pixels and produced targeted region by defining continuous and spiky edges. To obtain exact and clear suffered region, the method may include next level outer cells.
Efficient Detection of Abrupt Transitions Using Statistical Methods
Authors: Chavate Shrikant , Mishra Ravi
Published: April 2022

The rapid increment of technological advancements in the field of multimedia stream has piled up data production and consumption in cyberspace in the past two decades. It has prompted a swift increase in data transmission volume and repository size. Video is the most consumed data type on the internet. So, retrieval of selected video clips from the extra-large database of videos is extremely complex. The video shot boundary detection (SBD) is used for retrieval of desired video clips. It also is the fundamental step in video processing, which also was found important for applications like video browsing and indexing. The SBD handles the identification of abrupt and gradual transitions in the video database. In this paper, the statistical methods have implemented to detect the abrupt cuts. This benefitted the advantage of less complexity. The experiments are performed on TRECVID 2007 dataset, and the results obtained with high accuracy in less computational time.
Dynamic of Work from Home: Impact on Employee Stress Level
Authors: P Adi Lakshmi , Jampala Rajesh C , Dokku Srinivasa Rao
Published: April 2022

The outbreak of coronavirus (COVID-19), the working arrangements of millions of people have changed, and many will likely continue to work from home in some capacity for the foreseeable future. According to recent studies, the majority of IT workers have been working from home for the past year, and this trend is projected to continue in the future. The study's main objectives are to know the impact of working from home on IT employees work life balance among Indian IT employees. The data was obtained using Google forms and 106 IT employees were considered for the study. The study looks at how employees feel about working from home and how satisfied they are with it. The study also looks at the influence of working from home on employee stress and the ways employed by employees to reduce stress in India's IT sector.
Computational Approach for Transient Behaviour of Finite Source Retrial Queueing Model with Multiple Vacations and Negative Arrival
Authors: Indhumathi J , Muthu Ganapathi Subramanian A , Sekar Gopal
Published: April 2022

We are analyzing a transient behavior of finite source retrial model with multiple vacations and negative arrival in which the primary arrival rate λ, a Poisson, service time μ, α an exp. distribution. We have assumed that the finite calling population size Fs α obeys an exponential distribution for vacation rate. All transitions are assembled by using an infinitesimal generator matrix (IGM). Cayley Hamilton Method is used to obtain the time dependent and steady state solutions. Computational studies done for analysis of time dependent solutions of mean no. of occupants in the orbit and prob. of server free/busy/vacation for all Fs
, λ, μ, α, δ, σ, and t.
Role of Industry 4.0 Practices in Supply Chain Resilience
Authors: Singh Devnaad , Sharma Anupam , Rana Prashant Singh
Published: April 2022

Predictable and unexpected events have long threatened the continuity and profitability of supply chains, especially multinational ones. Human-made catastrophes and natural tragedies can cause supply chain interruptions. Several events, such as the earthquakes in Gujarat (2001). The COVID-19 epidemic has thrown demand and supply into disarray, and most businesses have yet to devise a strategy for enhancing their resilience and recovery. Industry 4.0 refers to a series of technologies, principles, and methods to make manufacturing systems more autonomous, evolving, adaptable, and precise. The proposed hypotheses is the impact of Industry 4.0 practices have positive impact on supply chain resilience and different Artificial Intelligence techniques are incorporated that have positive impact on supply chain resilience. The findings of the study indicates that Industry 4.0 technologies, i.e Artificial Intelligence, has a substantial influence on supply chain and its resilience.
Tailoring Structural and Optical Properties of Cu Doped Chemically Deposited ZnSe Nanostructured Thin Films
Authors: P M Geethanjali , K Deepa , A C Dhanya , T L Remadevi
Published: April 2022

Chemical bath deposition has been used for depositing undoped and copper doped ZnSe thin films at 343 K temperature. Growth of the thin film requires zinc sulphate cation and sodium selenosulphate anion. The preparative parameters are optimized with an aim to obtain high quality thin films. Three different concentrations of Cu source are used. XRD pattern indicates the incorporation of copper in to polycrystalline cubic ZnSe in doped thin films and is confirmed by EDAX spectrum. SEM micrographs indicate that ZnSe dispersion in the films is homogeneous. UV–visible transmission spectra of the thin films have put into evidence that the dispersion of ZnSe nanocrystals in the thin film is improved their optical transmission. Room temperature PL spectra have shown that the addition of Cu into ZnSe enhanced the emission with additional green peak other than blue band edge emission. Electrical conductivity also modified on addition of Copper.
Application of the Traveling Salesman Model for Rural Development of the Vidarbha Region
Authors: Asudani Vinod , Uparkar Satyajit , Upadhye Sachin , Seth Monika
Published: April 2022

The Vidarbha region situated in the center of India has witnessed more suicide rate by the farmers in the last two decades compared to any other region in the nation. Vidarbha has significantly contributed to the cultivation of cotton oranges, vegetables, and even has a substantial livestock. The non-availability of appropriate storage has resulted in huge wastage of perishable items. Scientifically breeding livestock is another major challenge in this region, considering the fact that large quantity of livestock is readily available in this region. The present study makes an attempt to provide the shortest aerial path using the Traveling Salesman model. In Vidarbha region, there are six air bases either closed or are used in commercial or noncommercial modes. If all the six air bases are accelerated for rural development in terms of utilization of perishable items and livestock, the revenue generation for farmers of the region can help their upliftment. In addition to it, the aviation sector can add another benefit. Thus, output of the Traveling Salesman model can provide a win-win situation for the rural development of the Vidarbha region.
Sustainable Interior Designing in the 21st Century – a Review
Authors: Sinha Mudita , Fukey Leena N
Published: April 2022

The concept of Sustainable interior designing has gained recognition in recent times. The study focuses on the history, growth and the future of sustainable interior designing. The main aim of the research was to review 102 select journal articles from various Sustainability, Interior designing and combined fields from 2001 all through to 2020, to provide an apprehension on the frequency, study methods, data collection and analysis procedures of the reviewed articles; Alongside providing the readers with an insight on the functionality, aesthetic appeal, client satisfaction and benefits to both environment and the clients. The study also sheds light on the important concepts of Biomimicry, Biophilia and Natural Luxury.
Customer Satisfaction Towards After Sales Service with Special Reference to Hyundai Motors Service Centre in Pune
Authors: Phule Prashant Namdev , Vyavhare Sachin Chandrakant
Published: April 2022

In the present study, researchers tied to find the level of customer satisfaction and the expectations of customers regarding the after-sales services of the Hyundai Motors Service Centre in Pune, city. The study requirement was that primary data be collected by using a questionnaire as a research tool, with five-point Likert scaled questions and multiple-choice rating questions. This data has been analyzed using an analysis tool. The study has helped to find important factors that influence customer satisfaction with the after-sales service of Hyundai cars. The research was thus performed to assess the level of customer satisfaction with the services provided at the service centres for Hyundai Motor owners in Pune city, wherein service centres were taken as a sample, which, according to the researchers, represented the population adequately. It was found that customers are highly satisfied with service quality of after-sales services and the level of customer satisfaction amongst the owners of Hyundai Motors.
Marching Ahead in Difficult Times: The Changing Face of Academia
Authors: Khandelwal Pratima , Shankar Poorna
Published: April 2022

The world has witnessed massive changes in all fronts, and the education industry (academia) is no exception. Perhaps the maximum momentum of change, disruption, and agility have been witnessed in education sector at all levels: pre-primary to higher education. The ongoing pandemic caused by COVID-19 has catapulted difficult times towards truly creative, smart, economic, and workable solutions. The major one being opening up channels of online/virtual teaching-learning practices, hitherto unexplored. This led to various trails in adapting to technology for learning platforms, developing mental strength, and implementation of solutions by educators and learners with support of other stakeholders. New virtual platforms, LMS, self-learning platforms and massive open online courses, apps, sites, and formats have been pumped into the sector by tech, service providers, and innovators. It truly opened up new avenues for government, digital technology-based solution providers, and the consumers representing academia to beat the challenges and rise to successes. Many have been addressed, many more require attention that encompass equity, mental well-being, and bridging the digital divide. It’s the best time to be innovative, design solutions, and implement them via looking for alternative means. This shall continue to address issues of education sector to keep the wheel of teaching-learning on constant move and accept the hybrid mode in academia. It's worthy to note that cohesive, collective, creative, and collaborative efforts shall pave way for sustainable solutions that shall fulfill the needs of learning and provide both access and equity to the prime patrons.
Enhancement of Smart Agriculture Using Internet of Things
Authors: Mehta Kapil , Arora Paluck , Arora Nitika , Aayushi Aayushi
Published: April 2022

Internet of Things (IoT) is an innovation that reprimands the fate of correspondence and registering. In present times, IoT services are availed in multiple domains like smart homes, shrewd traffic control, urban planning, health infrastructure, and so forth. The utility domain of Internet of Things is quite vast and can be actualized in diverse fields. This paper work is about the execution of Internet of Things in agriculture. The latest advancements of farming with utilization of Internet of Things in agribusiness strategies can be cost effective for agriculturalists. It can help in decreasing the yield wastages and bumper crop yields and help in curbing the issues of hunger and malnutrition. Smart cultivating depending upon Internet of Things advances would help the cultivators and agriculturalists in diminishing the waste and in enhancing the profitability going from the amount of manure used within required technical quality norms. The point is to innovate with a device which creates messages on various stages to advice agriculturalists and help government in their ambitious target of doubling the agriculturalists income by 2022 of 2015 base levels. The item will help agriculturalists by getting live information from the farmland to find a way to empower them to do shrewd cultivating by likewise expanding their harvest yields and sustainable use of inputs. The proposal is a basic engineering of Internet of Things sensors that gather data and send it over the Wi-Fi system to the server. The server can take activities relying upon the data.
Effectiveness of Combination of Leaves in Removal of Zinc and Iron Metals from Wastewater
Authors: Solanki Ashish , Sharma Jitendra Kumar , Garg Vaibhaw , Gautam Mokshada
Published: April 2022

The present study focuses on removal of zinc and iron metal ions by adsorption by different combination of leaves. Goal is clean water and sanitation. Adsorption on to biomass is an efficient and cost-effective treatment. The variation in metal ion concentration is evaluated by four different ratios of combination of leaves for three time duration sets. The metal ion concentrations in the sample before and after the experiment are analyzed using Atomic Absorption Spectrometer. The study reveals that maximum zinc ions uptake, 80.3%, is shown by 90:10 ratio of tulsi and eucalyptus leaves combination after 10 days, while that of iron metal ions is 90.2% and is shown by 80:20 custard apple and methi leaves combination after 10 days. It is found that experimental data fit the Langmuir model adequately for both the combinations tested, giving correlation coefficients all nearly equal to one.
Environmental Impact of COVID-19 Pandemic: A Perspective
Authors: Barman Nityananda
Published: April 2022

The COVID-19 pandemic has brought a dramatic decrease in industrial activities, road traffic, and tourism. The air quality is improved and drops in water pollutions. There is a sudden reduction of greenhouse gases emission. There are also some negative consequences of COVID-19, such as increase of medical waste, haphazard use and disposal of disinfectants, mask, and gloves, and burden of untreated wastes continuously endangering the environment. If not disposed of properly, its accumulation is further harmful to all environmental elements. It became a challenge for the local waste management authorities to tackle the situation. Also, natural ecosystems and protected species are at risk during the coronavirus crisis. We must understand that COVID-19 is a reminder to indicate the relations between human beings and the environment. So, to prevent future outbreaks, we must address the threats to ecosystems and wildlife, including habitat loss, illegal trade, pollution, and climate change.