bluuebunny/crossref_metadata_2025 huggingface dataset:
An Interrogation and Analysis of Postmodern ‘Self’ in Robert Lowell’s Sonnet Reading Myself
Authors: Mattappallil Thomas A , Varghese Saji
Published: April 2022

The interrogation and analysis of 'Self' in Robert Lowell's Sonnet Reading Myself is the research statement. Jean Francois Lyotard proposed the idea of 'Delegitimation' of Grand Narratives in Modern Times (1). This concept of Delegitimation gives power to an individual to narrate her or his self and gives complete control to have his power. The introspection of self in Robert Lowell's sonnet is analyzed critically in this postmodern sense. It aims at the liberation from the fixed system of beliefs or stereotypical norms of the society in writing a literary piece by analyzing the lines of the sonnet in a postmodernist way. Specifically, the Sustainable Development Goal (SDG) of reducing inequality is examined through the poet’s self in the paradoxical situation in a postmodern sense. It also questions the paradoxical existence and experiences faced by the poet in his life. The realisation of the self is significant in the present world gives the individual the freedom to create equal space for himself and others in society.
Universal Dependency Treebank for Santali Language
Authors: Sahoo Sunil Kumar , Mishra Brojo Kishore , Dash Satya Ranjan , Parida Shantipriya , Besra Jatindra Nath , Ojha Atul Kumar
Published: April 2022

A major effort is currently underway to develop a large-scale treebank for Indian low resource Languages (ILRLs). Apart from that, a rich and large-scale treebank can be an essential resource for linguistic investigations. This paper presents the first publicly available treebank of Santali low resource Indian language. The treebank contains 307 tokens (51 sentences) in the Santali language. All the selected sentences are manually annotated following the Universal Dependency guidelines. The morphological analysis of the Santali treebank was performed using machine learning techniques. The Santali annotated treebank will enrich the Santali language resource and will help in building language technology tools for cross-lingual learning and typological research. We also built a preliminary Santali parser using a machine learning approach. Finally, the paper briefly discusses the linguistic analysis of the Santali UD treebank.
Technology Advancement in Education & Development of Smart Society
Authors: Jain Sama , Bansal Tanishk , Sharma Shubham
Published: April 2022

Education has the power to form how we experience the situations in this world. We just close our mind and open our eyes and way of thinking. In this crisis, smart and technovative innovations played a very significant role in making people aware about the situation, calm and encourage them to do positive action and to learn something new. Smart Education develops the flexibility among the learners to work in groups and explore smart ways of learning. It majorly focuses on the personalized, effortless and ubiquitous learning to uplift novice intelligence. It also allows the learners to enhance their practical knowledge.
Feasibility Study to Supply the Plastic Industry with Photovoltaic Solar Energy
Authors: Sotelo Carlos , Castaneda Monica , Zapata Sebastian , Aristizabal ANdres
Published: April 2022

The study's objective is to evaluate the feasibility of supplying electricity produced with photovoltaic energy when applied in the plastic forming industry by injection molding. We proposed three coverage scenarios, 100%, 70%, and 50% of the electricity demand of one of the sub-processes of the manufacturing company. Each scenario is evaluated using the area, the economic analysis, and the environmental impacts generated. This project is planned in Funza Cundinamarca, Colombia, on the current land that Grival-Corona of Colcerámica SAS has. A model is obtained in which the kWh installed for the project is costed at USD 13,035. The proposed scenarios represent a cost between USD 631,579 to USD 1,263,158, and the investment recovery ranges between 93 and 100 months depending on the coverage capacity evaluated. Furthermore, the area to be used estimates 40% of available cover in the current manufacturing plant for the most significant evaluated scenario.
Using Static and Dynamic Malware features to perform Malware Ascription
Authors: Sraw Jashanpreet Singh , Kumar Keshav
Published: April 2022

Malware ascription is a relatively unexplored area, and it is rather difficult to attribute malware and detect authorship. In this paper, we employ various Static and Dynamic features of malicious executables to classify malware based on their family. We leverage Cuckoo Sandbox and machine learning to make progress in this research. Post analysis, classification is performed using various deep learning and machine learning algorithms. Using the features gathered from VirusTotal (static) and Cuckoo (dynamic) reports, we ran the vectorized data against Multinomial Naive Bayes, Support Vector Machine, and Bagging using Decision Trees as the base estimator. For each classifier, we tuned the hyper-parameters using exhaustive search methods. Our reports can be extremely useful in malware ascription.
Is Conscious Consumerism a Step Towards Society 5.0? A Review Paper
Authors: Vishnubhatla Vivek , Agashe Abhijeet
Published: April 2022

With the advent of pandemic and when nations have sealed most of their boundaries, conscious consumerism in food has taken great strides. Humans can no longer be oblivious to what they eat or drink. In the age of increased competition for resource availability, age old traditional organic food farming and consumption have become facile and the need of the hour. The review attempts to showcase how organic farming prevailed during the vedic time prioritizing the concept of environmental balance. Furthermore, the 2030 agenda for sustainable development adopted shared a roadmap wherein eco-friendly practices have gained greater importance in order to make our planet a better place. Consumers have become conscious about their purchases. In addition, newer technologies such as blockchain, IoT, robots, and cloud computing all have contributed significantly to satisfy farmer and consumer needs at various levels. All these developments are leading to a Society 5.0.
Work Performance and Stress Alleviation in Hospitality Services
Authors: S Arul Krishnan , B Balaji
Published: April 2022

The study's goal was to investigate the dynamics of workplace stress and its influence on the job performances of hospitality professionals. The hospitality sector mainly relies on services that encompass hygiene and quality rendered to the customers. Marketing of services rather than sale of products may entail large quantity of work. Increased work task fuels high responsibility and stress on the employees. Ultimately, it fosters more work pressure and directly causes depression, anxiety, strain, sleep disorders and disruptions in peace of mind of employees. This study comprises a sample of 373 employees in hospitality sector. Convenience sampling technique was employed besides a design that was descriptive in approach. Interview schedule was employed for data collection. Job dynamics such as regular tasks, human resource strategy, employee benefit, work atmosphere, supervisor support, and relations with associates have a substantial influence on the job performance of hospitality staff. Furthermore, stress coping strategies were observed to be effective for employees working in hospitality sector.
Influence of Mixers on Dry Dispersion of Nanoparticles in the Cementitious Composites
Authors: B Bhavana , . Radhakrishna , Meda Ujwal Shreenag
Published: April 2022

Nanomaterials are gaining prominence in industries such as construction and medicine. Several parameters like durability and early strength development can be enhanced through the incorporation of nanomaterials into cementitious composites. The major challenge is to achieve uniform dispersion of nanomaterials within the composite’s matrix. The present study is an interdisciplinary research which combines concrete technology and nanotechnology with powder technology to develop a blended binary mixture in powder form with uniform dispersion of nano-silica (NS) as the active ingredient with the cement as the primary ingredient. The fundamental idea of this research is to understand the influence of mixers on the mixing pattern and the dead zones. For this purpose, the powder blending in conical mixer and mortar mixer were simulated using discrete element method (DEM) based software and it was capable predicting the mixing pattern and dead zones of the mixers.
Multimodal Classification on PET/CT Image Fusion for Lung Cancer: A Comprehensive Survey
Authors: Das Kaushik Pratim , J Chandra
Published: April 2022

Medical image fusion has become essential for accurate diagnosis. For example, a lung cancer diagnosis is currently conducted with the help of multimodality image fusion to find anatomical and functional information about the tumor and metabolic measurements to identify the lung cancer stage and metastatic information of the disease. Generally, the success of multimodality imaging for lung cancer diagnosis is due to the combination of PET and CT imaging advantages while minimizing their respective limitations. However, medical image fusion involves the registration of two different modalities, which is time-consuming and technically challenging, and it is a cause of concern in a clinical setting. Therefore, the paper's main objective is to identify the most efficient medical image fusion techniques and the recent advances by conducting a collective survey. In addition, the study delves into the impact of deep learning techniques for image fusion and their effectiveness in automating the image fusion procedure with better image quality while preserving essential clinical information.
Study on Various Attributes That Affects Visit to a Dark Tourist Destination
Authors: Dandotiya Ravi , Aggarwal Arun
Published: April 2022

Deaths, catastrophe, and mayhem in the touristic environment are developing as a prevalent attribute in today’s tourism industry. This industry is gaining popularity as dark tourism. Current study is an attempt to investigate antecedents of tourist’s loyalty at a dark tourist destination and to understand relationship among motivation, national identity, positive tourism impacts, negative tourism impacts, place attachment, satisfaction, and tourists’ loyalty. To review the antecedents of loyalty at a dark tourist destination various studies pertaining to dark tourism were studied. The analysis reveals that there is an association in many of the variables. However, positive tourism impacts do not influence loyalty of tourists. Tourists with higher national identity also perceive negative tourism impacts. The study has theoretical and practical implication, that have been discussed in the end.
Design and Analysis of Lunar Rover Wheels Using Finite Element Modelling
Authors: Bhattarai Brinda , Datta Chetasvani , K.M. Shrilakshmi , A.S. Deeptha , Nair Kavya , Seeni Aravind
Published: April 2022

The initiative to explore the moon has always been a necessity for deep space exploration to humans. But exploration needs mobility, and whether you are on Earth or the moon, you need sensible tires to induce your vehicle from one place to another. But exploring an unknown extra-terrestrial land is a demanding task. This paper presents a survey on the lunar environment, the design requirements for a lunar rover wheel and has analyzed different rover wheels. Wheels contacting with the surface of the moon must be able to withstand the moon’s harsh environment. The wheel is required to have much terrain ability as possible in the lunar surface, which includes soft regolith and slopes to boulders/steps and craters to achieve robust teleoperation. Various kinds of wheels, such as rigid, elastic, flexible, and wire meshed concepts, have been discussed, and a qualitative analysis shows which wheel would be efficient for specific missions.
Expediency of Investments in Real Estate Sector
Authors: M Jayanthi , S Saravanakumar
Published: April 2022

In India, with the liberalization of the economy, the real estate industry has grown in prominence. As a result of the increasing business possibilities and labour migration, demand for commercial land property for both housing and industrial building has grown. The retail, hotel, and entertainment industries all have an impact on real estate developments. The research looks at the motivation, awareness, and profitability of retail real estate investors. The study design comprises descriptive research, in which various elements of real estate investments are studied. The demographic profile of real estate investors, motivation, and profitability in real estate investments were investigated in this study. A total of 314 samples were used in this investigation, and data was obtained using a questionnaire. Simple percentages analysis, descriptive statistics, factor assay, chi-square, and regression were utilized as statistical techniques. Individual investors have adequate awareness, motivation, and profitability in real estate investing.
Synthesis and Characterization of Silver Nanoparticles Using Zinc Chloride-Sugar-Amino Acids Based Novel Ternary Deep Eutectic Solvents
Authors: K Sarjuna
Published: April 2022

In this study, we had effectively generated four types of ternary deep eutectic solvents using the method of evaporation by mixing zinc chloride(ZC) with hydrogen bond donors such as Glucose(GLU) & Fructose(FRU) and Amino acids such as Glutamine(GLUT) & Glycine (GLY) [i.e.a- ZC-GLU-GLY, b- ZC-FRU-GLY, c- ZC-GLU-GLUT, d- ZC-FRU-GLUT]. After that, physical properties such as pH, conductivity, density, and viscosity were applied to the solvents. The H – bonded interaction between zinc chloride and other components in these TDESs were revealed by the FTIR spectroscopy. The prepared TDESs were used as a solvent medium for the synthesis of silver nanoparticles (Ag NPs) by chemical reduction method using sodium borohydride as reducing agent and sodium hydroxide as stabilizing agent. The synthesized Ag NPs were characterized by FTIR, UV, XRD, EDAX and SEM techniques. Silver has a variety of applications, but one of the most notable usages is an antibacterial disinfectant.
Online Leadership in Small and Medium Enterprises (SMEs) During the COVID-19 Pandemic: Challenges and Opportunities
Authors: Pathrose Eugin Prakash , Madhavan Divya
Published: April 2022

Online leadership is a function that lawmakers esteem as a result of the COVID‐19 crisis. The desire for swift change ensured that society representatives, who might take the requisite actions, were appreciated. Leaders who have been dithering or not acting have faced a greater degree of COVID‐19-related problems in the field. The COVID-19 pandemic shocked many organizations, which has an impact on shifts in organizations' working culture. The position of information technology has proved to be the approach preferred to sustain corporate success. The key goal of this research is to discuss online leadership challenges and opportunities. The research focuses mostly on small and medium-sized businesses worldwide. A qualitative methodology is used to challenge informants dispersed by computer technology mediation in many world regions. A significant finding in this paper is that many organizations are not ready to cope with this situation, so that the position of online leadership is very successful in maintaining organizations and that leaders will adapt their leadership style by learning about society and by overcoming the obstacles that they face to become an Internet leader. We often find that woman leaders appear to be preferable to men as the online representative, particularly regarding information technology and the usage of social networking. This paper concludes that leaders who can resolve the obstacles and take advantage of resources to implement strategic advantage tactics can create online leadership.
Bio-Polyurethane Foam and Its Fire-Retardant Applications
Authors: Rajaram Haritha , Meda Ujwal Shreenag , N Harshitha , U Sripriya
Published: April 2022

Polyurethane (PU) is a material that finds applications in numerous sectors, such as construction, automotive, furniture, additives, and so on. It has been forecasted that the global market for PUF will reach around 12.7 million tons by the year 2024. Wastes from Polyurethane Foam (PUF) are classified as white pollution, hence in the recent times there is a demand for green, sustainable, and non-toxic materials. This resulted in the birth of Bio-PUF. Broadly, the Bio-PUF production process can be segregated into three classes based on the reagents used. These reagents are vegetable oil, lignin, and non-isocyanate-based. All of them possess some suitability for use as substrates for making Bio-PUF. This review discusses the various technologies that can be utilized to produce Bio-PUF and also discusses future implications of Bio-PUF, including the environmental aspects, the various characterization techniques, and future scope of the same.
Virtual Voice Assistant for Smart Devices
Authors: Faiz Zeeshan , Srivastava Vedika , Khoje Suchitra
Published: April 2022

Digital assistants have been a budding technology lately. In modern society, chatbots have found their way in many sectors of e-commerce. With widespread advancements in the field of artificial intelligence, developing machines to ease real life tasks is the norm of the day. Voice Assistants have gained a lot of popularity in this era of home automation and smart devices. These personal assistants, voice or text, can be easily programmed to perform many tasks by simply commanding them to. High tech industries like, Google have publicized voice-based search that is, especially, a bonanza for many like senior citizens who are not comfortable using the keypad/keyboard or English language as these assistants offer support in other languages like Hindi too. Any voice-based assistant works on two pivotal functions namely - listening to(detecting) commands and responding to the given commands given by user. Along with these two base functions, we need customized directive that will define the functionality of the voice assistant.
A Survey on Public/Private Transportation Tracking and Seating Information System
Authors: R M Bhavadharini , S Sivakarthikeyan , S Suriya Narasimman , MV Thirunavukarasu
Published: April 2022

In this day and age, transportation is the key in making a significant development in all sectors. In terms of public transportation, buses play an important role in the matter. Although this process is used for a long time, there is not any significant development except for introduction of new models of automobile. The issues in the existing system are growing further with the number of people depending on public transport is constantly on the rise and due to other problems regarding traffic and breakdowns. Even with the number of buses increased, a proper structure is not organized in order to coordinate a conventional system that makes use of tracking and displaying location and other details regarding the transport facility. This paper discusses various methods in existence for the transport tracking and location details display.
Biocompatible Gellucire® Inspired Bimetallic Nanohybrids for Augmented Fluorescence Emission Based on Graphene Oxide Interfacial Plasmonic Architectures
Authors: Rai Aayush , Bhaskar Seemesh , Kalathur Mohan Ganesh , Ramamurthy Sai Sathish
Published: April 2022

Increased demand for high sensitivity techniques has resulted in a sustained search for sensing platforms that could provide reliable and highly sensitive detection of bio analytes and chemical species. Surface plasmon-coupled directional emission (SPCDE) has been explored as an alternative to conventionally used fluorescence detection methodologies to counter the inherent isotropic nature of this detection technique and increase its collection efficiency, thereby augmenting its sensitivity. This technology aids in realization of highly p-polarized emission with background suppression and excellent spectral resolution of emission profiles. The presented work explores the use of bimetallic nanohybrids synthesized through the one-pot synthesis in tandem with graphene oxide (GO) monolayer in spacer interface in the SPCDE platform to attain unprecedented emission enhancement of >1400-fold, opening the door to interfacial plasmonic architectures. Moreover, the use of biocompatible polymer Gellucire® for the synthesis of nanohybrids highlights the sustainable approach in this research work.
Factors Affecting Green Human Resource Management Practices
Authors: Gupta Anjali , Jangra Sapna , Bhardwaj Komal , Kumar Pardeep
Published: April 2022

There is increasing research in the area of green human resource management. There is great need to integrate green concepts into Human Resource Management, called Green Human Resource Management. This review paper explores the challenges or problems that are being faced by companies while implementing green human resource management practices, then look in for factor affecting effective implementation of Green Human Resource Management practices in an organization. Further, this study also finds out the ways to successful implementation of Green Human Resource Management practices in an organization. This study motivates the companies to apply Green Human Resource Management practices by highlighting the positive outcomes that can be achieved by implementation of Green Human Resource Management practices. The research on Green Human Resource Management has been rising since 2008, but still there is a long way to go. So, studies related to Green Human Resource Management need to be done in developing countries like India.
Estimation of Radon Thoron Levels in Jind Area of Haryana
Authors: Kumar Amit , Dahiya Sunita , Shikha Deep
Published: April 2022

Health risk estimations due to the indoor exposure to natural radionuclides present in natural radioactive gases like radon and thoron the is a cause of concern. The main radiation exposure of the inhabitants of dwellings is due to the two radioactive gases viz. radon and thoron. These gases can accumulate inside the rooms/indoor places of dwellings depending on various parameters like emanation from soil, ventilation, type of dwelling and construction materials, etc. However, the knowledge of concentration of these gases is required to safeguard the dwellers from its health hazardous, if these increases beyond a certain level. In this paper, a study has been conducted in some of the dwellings of the Jind area of Haryana state for the estimation of indoor radon thoron levels. Some 25 dwellings were selected in a uniform manner to cover the whole area of Jind. The found results were assessed on the basis of International Commission on Radiological Protection (ICRP) guidelines.
Modeling for Demand Response Optimization Using Incentives Based on the Previous Day
Authors: Moncada Favian , Chica Alonso , Castaneda Monica , Zapata Sebastian , Aristizabal ANdres Julian
Published: April 2022

This article presents simulation scenarios of demand response (DR) for incentives based on the "day before." Its main objective is to help power systems during peak demand hours and also during contingencies. This study is essential for the following reasons: (1) A short DR integration overview is performed on consumers' time-series responses to prices based on the "day before" transaction scheme. (2) It provides preferred options for a solution that reflects the uncertainty caused by volatile electricity market prices and demand in the decision-making problem. Through computational experiments (Gamside software), we demonstrate the validity of the data obtained. We achieved active participation based on the “day before” work scheme in DR. 100% coverage of the demand was achieved for each hour in percentages from 25% to 100% in optimization case studies. The maximum capacities of contribution to the grid were from 2500 to 6000 kW/h. This allowed having inputs for decision-making by introducing the rational response of the consumer and the agents of the energy integrator.
A Detailed Survey on Data Mining Based Optimization Schemes for Bioinformatics Applications
Authors: Thareja Preeti , Chhillar Rajender Singh
Published: April 2022

In computational science paradigm, bioinformatics and the data mining approach afford specific and advocating research and development schemes. The technical science of mining, managing, and coordinating of resources retrieved from the biological sequences is known as bioinformatics. Some of the current developments, for example, genome-sequencing initiatives, micro-arrays, proteomics, functional, and the essential genomics are ought to be strapped the frontlines of human acquaintance. In recent times, the data analytics and artificial learning methods have stayed progressing in paces. This has emerged through the high-impact applications from promotion to science. The two regions obligate generally been increasing individually; even though scholars have disbursed much exertion on data mining for bioinformatics. This kind of distinctive problem objects to conduit the available gap concerning bioinformatics system and data mining techniques by unstinting exploration assimilating this two. It is believed that the data mining might deliver required tools for enhanced thoughtful of gene expression, drug strategy, and further developing complications in genomics and proteomics. This current survey provides a comprehensive analysis on data mining centered bioinformatics and its applications.
Evaluation of Engineering Behaviour of Expansive Soil with Addition of Lime and Quarry Dust
Authors: Rathor Ajay Pratap Singh , Bhatt Harshil , Pareek Ravi kant
Published: April 2022

The Kota city, which is situated in Rajasthan state of India, is having a major problem of disposing the quarry dust. Quarry dust is a waste product produced by the stone industry during the cutting and crushing of stone. This byproduct is affecting the environment and land fertility as well. One of the innovative techniques for ground improvement can be practiced by using quarry dust as soil stabilizing agent. This technique may simultaneously offer the environmental sustainability, use of industrial waste, and space saving. The Expansive Soil (ES) deposits in Kota district and its neighboring districts, Jhalawar and Baran, make it difficult to build large constructions. In order to make the soil suitable for construction, quarry dust and lime are used for stabilization of the ES in this study. The UCS and CBR value was increased after adding of quarry dust with 6% lime and stabilized soil has superior load bearing capacity.
Solar Energy in Nigeria - Status, Utility and Procurement
Authors: Kashyap Kamal , Sani Muhammad Abdullah , Kumar Sushil , Kumar Naresh , Kumar Nitin , Thakur Robin
Published: April 2022

Africa is full of natural resources but is lacking to fulfil the energy needs of continent due to lack of technology. Nigeria as it seems is situated in the of Africa. with over 210 million population and 768 km2 area Nigeria is still struggling to fulfil the electricity requirement of the country, as the data shows 46% of the overall country population is still not connected to grid and most of the electricity generation is being done by non-renewable energy resources which is responsible for pollution in the country. being as a developing nation Nigeria has to find out new possibilities to fulfil the electricity requirement and what is a better way than utilising the resource the entire Africa is known for i.e., sun. solar radiation level of Africa is far more than of the other continents. the research paper consists of the study of six zones of Nigeria and its potential to generate green energy in the country.
Comparison of Different Mobile Wireless Technology (From 0G to 6G)
Authors: Agrawal Reeya
Published: April 2022

Networks and the value they provide. Mobile wireless technology has evolved from Zero Generation (0G) through the first, second, and third-generation systems during the last several decades to increase Quality of Service (QoS), efficiency, and performance. There is now a shift to implementing fourth-generation (4G) systems. Shortly, mobile devices will have access to 4G and 5G networks. 1G technology made mass mobile wireless communication possible. Since analog technology was superseded by digital in the 1990s, two-generation (2G) wireless communication has evolved tremendously. New converged networks that simultaneously handle voice and data transmission are emerging due to 3G technology's focus on voice communication. Currently, "5G" isn't being used in official situations. 5G research aims to expand the WWW, dynamic ad hoc wireless networks, and more. People have been involved in the Mobile Wireless Generation from one generation to another.
Hydrogen Impermeable Materials for Efficient Hydrogen Storage
Authors: Bhat Nidhi , Agrawal Chitra , Meda Ujwal Shreenag
Published: April 2022

Hydrogen has the most potential as an energy resource alternative to fossil fuels, with numerous applications across sectors. It is clean and is present in a great amount in nature. However, due to the challenges in handling hydrogen and hydrogen embrittlement, its storage remains a concern, which is why high strength steels are rarely employed for such applications. To improve these hydrogen storage systems and address issues such as low energy efficiency, weight, long refueling periods, durability, hydrogen embrittlement, and costs, better hydrogen impermeable materials must be created. There are many material-based storage methods and coatings to reduce embrittlement and other problems faced by conventional storage methods like compression and liquefaction, but more investigation on high strength steels is necessary as they could be more efficient hydrogen storage materials.
Credit Card Fraud Detection Using Selective Class Sampling and Random Forest Classifier
Authors: Verma Pradeep , Tyagi Poornima
Published: April 2022

The incidences of credit card fraud are increasing. It puts the hard-earned money of users at risk. The financial institutions and governing bodies are looking forward to some robust and reliable ways of detecting credit card fraudulent transactions. The task is challenging due to non-availability of enough data, high class imbalance, and high stake on false negative rates (FNR). Most of the methods available in literature perform well on the accuracy-based performance metrics. However, they fail to yield satisfactory ROC-AUC performance due to the high false positive or false negative rates. Mitigating this issue is the real challenge for the task of fraudulent credit card transaction detection. This paper investigates the problem of credit card fraudulent transaction detection and proposes a technique for it. The proposed method uses a custom selective class sampling-based class balancing technique, and subsequently, it uses random forest for classification. The experimental results show that the proposed technique has better AUC score, accuracy, precision, and recall values as compared with other similar approaches.
Transitioning to Sponge City: A Key to Water Resource Management during Floods in Assam
Authors: Hussain Moon Moon , G Bhuvaneswari , Borah Rashmi Rekha
Published: April 2022

Flooding in the recent times is one of the society’s most significant threats from climate change and dramatic weather events. As such, integrating sponge city construction and green infrastructure have become the new paradigm for a sustainable urban storm water management policy. Sponge city initiative can be implemented in Assam too. After more than seven decades of yearly perennial floods, we know by now that the mighty Brahmaputra cannot be tamed. Nor Assam can fight climate change alone. Sponge city strategy would help Assam to work in unison with nature and sustainably manage rainwater and floodwater which could be a huge advantage not only to the environment but also to the local population as well. This paper aims to suggest certain green infrastructures and sponge city strategies which have been implemented by China and western nations in managing floods. Adopting such strategies may not be able to remove all issues completely but it might definitely work out to reduce the disastrous effect of floods. It will also help to manage water resources efficiently in the State.
Thickness Dependent Electro-Optical Behaviour of Homeotropically Aligned Nematic Liquid Crystal
Authors: Dogra Ankit Rai , Sharma Vandna , Gahrotra Ridhima , Khanra Partha , Dogra Ankit
Published: April 2022

The homeotropically aligned liquid crystal (LC) display devices are of great interest in recent time. Thus, in the present work, the thickness dependent electro-optical behaviour of nematic liquid crystal (NLC) in homeotropic alignment (HA) has been studied. To achieve the HA of NLC, polyimide (PI) coated ITO glass substrates were used. Consequently, cleaned ITO glass substrates (with thickness of 0.7 mm) were used for the fabrication of the LC cells. The pure NLC material (LC-BYVA) was filled into PI coated cells by the capillary injection method. Subsequently, the filled cells were examined with the help of polarized optical microscope (POM), which show the good dark and bright orthoscopic textures of NLC in field ON and OFF states, respectively under cross-polarizers. The conoscopic study of the images also confirmed the perfect HA of NLC molecules. The dark states change to good bright state with the change in orientation of NLC director from homeotropic to planar at operating voltages as seen under cross-polarizers. The electro-optical (E-O) study also shows the good contrast ratio (CR) of display cells.
The Effects of Laser Cladding Surface Treatment on Surface Degradation Properties :a Review
Authors: Singh Sani Kumar , Goyal Rakesh , Kumar Vijay
Published: April 2022

Surface degradation due to hot corrosion and erosion in thermal power plants and gas turbines, is one of the primary concerns for many researchers, scientists and surface engineers. Hot corrosion is considered as a serious problem in coal-based thermal power plants which fulfill approximately 58.3% of the total electricity demand of India. The practice of using low-grade fuels at high functional temperatures is the overriding reason for accelerated hot corrosion. A case study stated that approximately 56% of boiler failures occur due to hot corrosion that may lead to reduced economical efficiency of the thermal power plants. Fortunately, this problem can be controlled by some preventive measures, and surface modification is one of the effective methods to enhance the lifespan of boiler components. Surface modification can be done through different surface coating processes like plasma spray, HVOF and D-gun etc. In this paper, we will discuss the effects of Laser cladding surface coating process to develop the corrosion resistance surface properties of different substrate materials
A Review of Tribological Behavior of Different Bio-Implant Materials
Authors: Mehta Sahil , Singh Gurmohan , Singh Harvinder , Saini Abhineet
Published: April 2022

Biomedical implants are extensively gaining popularity owing to ever increasing health complications and growth in trauma numbers globally. Metallic implants are the most widely used bio-implants for various orthopedics and dentistry related problems owing to their superior mechanical strength when compared to ceramics and polymers. Furthermore, titanium alloys are the preferred choice these days, because of their proximate nature to human bone and light weight. However, few shortcomings make these artificial bio-implants capricious like short life span, wear rate, surface finish, etc. Tribological behavior and performance affect the life of the implant, and has to be improved for longer sustainability of the implants. Wear tests can help in predicting the life of the movable sliding joints in bio-implants. This paper includes a review about the properties of the bio material, wear tests results, and their wear mechanisms. Further, the limitation and scope of biomaterial implants from tribological aspects of various bio-materials are reviewed.
Analyzing the Evolution of Modern Tamil Script for Natural Language Processing
Authors: R Kaladevi , A Revathi , A Manju
Published: April 2022

History is essential for understanding the society's former state. It is beneficial to understand people's historical status, culture, and how we view the present. The society benefits from the society's diversified culture and unparalleled civilization. The limited sources available to learn about our history are books, epigraphs, and inscriptions. Only around half of all Indian inscriptions are in Tamil, and only half of those are published. The name India is derived from the Indus River, and the Indus Valley Civilization is the most active and progressive civilization in the ancient world. Hinduism, Buddhism, Sikhism, and Jainism are four well-known religions that emerged from this culture. Epigraphs are the most reliable source of information about ancient India's life, culture, religion, and politics. This study examines the evolution of India's many scripts and languages. Discovering the incremental changes in scripts and languages that demonstrate the linguistic relationship between distinct populations is critical. Natural language processing benefits from knowledge of numerous scripts, languages, and techniques for letter recognition.
Architectures Based on Deep Learning for the Detection of Invasive Ductal Carcinoma
Authors: Gupta Isha , Gupta Sheifali , Singh Swati
Published: April 2022

Image processing techniques have improved dramatically in recent years to help pathologists identify cancer cells. Like convolutional neural networks (CNNs), deep learning methods are increasingly used for imaging processes and analysis in histopathology images. This research aims to demonstrate the detection of histopathological pictures linked with the prediction of invasive ductal carcinomas (IDC) and non-IDC in the breasts. A complex problem is the detection of IDC in histopathological images, as cancer includes minor entities with a variety of shapes that can readily be confused with other objects or facts in the picture. As a result, the suggested research recommends three distinct CNN architectures for identifying IDC using histopathological images, referred to as 10-layer, 19-layer, and 20-layer convolutional neural networks, respectively. Excellent values of sensitivity, precision, and low classification error rate have been achieved to detect IDC in histopathology images using deep layer-convolutional neural networks. Using 19 layer-convolutional neural networks, the efficiency obtained was 87%, revealing improved results for deep layer convolutional neural network architecture.
Power Optimization and Network Congestion Controlling Technique for an IoT Enabled Smartbin for Smart Cities
Authors: Malhotra Shivani , Partap Chander , Manisha . , Kumar Amit
Published: April 2022

The rapid increase in population leads to a corresponding increase in waste. As an integral application of a smart city, smart waste management framework provides a viable solution of implementing smartbins to monitor the waste and collect it. However, being a battery-operated node in continuous communicating with the cloud, power efficiency and network congestion are two of the major issues faced by the smartbins. Therefore, an algorithm for power optimization and network congestion control has successfully been presented in this article. The results obtained from testing the algorithm under different filling conditions and zero packet loss provide evidence of its practicality to optimize power usage and circumvent network congestion. The proposed algorithm can easily be implemented as an integral part of a smartbin to allow the cities to support smart waste management frameworks with a minimal failure rate and minimal cost of maintenance. Researchers can integrate the algorithm into their frameworks to propose solutions to the ever-increasing problem of waste management.
Does Packaging Affect Consumer Preference During the Purchase of Chocolate?
Authors: CK Vaishnavi , Fukey Leena N , Wankhar Varynia
Published: April 2022

Chocolate is one of the highest consumed products and the packaging of such a product is important. The primary goal of the study is to understand if the packaging of chocolate has an impact on the consumer’s preference during the purchase of chocolate. The researcher concentrates on the elements of packaging, which are the color of the packaging, shape, size of the packaging, labeling information on the packaging, and the material of packaging. The study helps the producer to understand what factors on the packaging impacts the customer during the purchase of chocolate. The researcher concentrates on how these elements of packaging play a role in affecting the consumer at the point of purchase of chocolate. Through this study one will be able to deliver the product, i.e. chocolate, more efficiently and effectively to the consumers or the buyers.
Understanding Maternity Patients’ Satisfaction at a Hospital in India
Authors: K Vinay Kumar , Ankiisetti Ramachandra Aryasri
Published: April 2022

A qualitative study was undertaken to understand the satisfaction behaviour of patients at a maternity hospital, by analysing the feedback of patients recorded after delivery. The findings suggest that enhanced service offerings affect overall satisfaction level of patients to a larger extent than core service offering i.e., Medical Care given to a patient, above a minimum required level of Medical Care. This result was proved using Regression Analyses, MANOVA Analyses, and Structure Equation Model (SEM) analyses. The study also tries to establish a relationship of different service offering attributes in a hospital setting with overall satisfaction of patients.
Application of Last Planner System in Construction of Real Estate Projects
Authors: Patel Dhruvkumar , Pitroda J. R.
Published: April 2022

The real estate sector is extremely important in the Indian economy, contributing approximately 6-8% of GDP and projected about 13% by 2025. The Indian real estate market is forecast to reach $1 trillion by 2030, making it the world's third biggest. The Indian real estate industry faces significant growth opportunities, as well as obstacles, such as waste production, a shortage of skilled labour, excessive time, excessive costs, and poor productivity, to name a few. Lean construction differs from conventional building management in at least two ways. One of the main areas of focus is waste and waste reduction. As a result, in addition to focusing on waste, lean construction also optimizes flow management. The aim of lean practices at Indian construction sites is to reduce waste and identify the root causes of waste in order to improve productivity and production of construction enterprises.
Square Shaped MEMS Capacitive Pressure Sensors for Biological Applications
Authors: . Suman , Bhatia Deepak
Published: April 2022

The focus of this study is on mathematical modelling analysis and simulation of a micromechanical system based on a capacitive pressure sensor with a square diaphragm of 500 μm × 500 μm. The mechanical operation of the suggested device under the impact of a uniform pressure range employing different materials on the same arrangement is the subject of this research. The principle, design and comparative analysis of several MEMS materials are covered in this work. The deflection of the capacitive pressure sensor of roughly 0.285 μm and 30.36 pF, as well as the change in the capacitance value, are used to evaluate the device's performance. At a maximum pressure of 20 kPa at room temperature, the sensor's sensitivity is 56.24× 10-6 pF/pa, and the sensor’s response time is also reduced under static and dynamic loading circumstances. It can be seen that graphene materials have linear, stable, and repeatable properties when subjected to a uniform pressure range.
Encapsulation of Inulin Loaded Ovalbumin Nanofibrils in Toned Milk to Enhance the Nutritional Value
Authors: Senthilkumar Praveetha , Senthilkumar Praveetha , Natarajan Arunadevi , Shavrov Vladimir , Lega Petr
Published: April 2022

Self-assembled nanofibrils encapsulation was performed in the application of nutritional enhancement of toned milk. Inulin loaded nanofibrils (self-assembled ovalbumin nanofibrils) were used for the encapsulation of toned milk. The physico-chemical parameters and nutritional value of inulin loaded ovalbumin nanofibrils were determined. The physic-chemical analysis of toned milk, such as pH, titrable acidity, anti-oxidant activity, encapsulation efficiency, and in-vitro release, were calculated. The results show that sensory characteristics were not affected by encapsulation of nanofibrils on toned milk. The nutritional values of inulin loaded ovalbumin nanofibrils in toned milk was performed using conventional oven drain method (moisture), ignition method (ash), gerber method (protein), kjeldahl method (fat), pearson’s composition analysis (carbohydrates), titration method (lactose), and HPLC method (Vitamin D). The result shows that the protein content is raised and also increased with other nutritional values.
Machine Learning: A Review on Supervised Classification Algorithms and their Applications to Optical Character Recognition in Indic Scripts
Authors: Singh Tajinder Pal , Gupta Sheifali , Garg Meenu
Published: April 2022

Machine learning is a common application of artificial intelligence, which gives machines the ability to learn from data automatically and improve with experience without being explicitly programmed. Supervised learning is one of two broad areas of machine learning that deal with the task of learning a function for a current model based on past data training on input-output pairs of examples. This function enables the model to predict future outcomes for new inputs. Regression and classification are two supervised machine learning problems. Classification is the most common task that intelligent systems perform most often. This review describes the classification algorithm’s working and its applications to optical character recognition in Indic script. Devanagari and Gurumukhi scripts are chosen for this attempt. The detailed study presented in this article will be helpful to researchers working in the field of optical character recognition to understand where to use which machine learning algorithm for best results.
Prediction of Proteins Subcellular Location in Microscopic Images Using Fine-Tuned Deep Learning Architectures
Authors: Aggarwal Sonam
Published: April 2022

Understanding protein behavior depends heavily on where a protein is located within the cell. The successful prediction of protein locations can assess the early diagnosis of a disease and the effectiveness of various drugs. As a result, it is critical to create a protein localization prediction system that is both dependable and accurate. Numerous methods and resources have been employed to obtain insight into protein function over the years. Confocal Microscopy, employed by Human Protein Atlas, is one of them. In this research, the focus has been made on the localization of proteins in 19 subcellular compartments in human cells. The objective is to determine the organelle of the cell that contains the protein. In this research, a deep learning method for categorizing subcellular protein patterns in human cells is presented. The proposed method is primarily based on transfer learning technique using two pre-trained models, VGG-16 and DenseNet121. Due to the highly unbalanced nature of the dataset utilized in this study, class weight optimization is used before training the model. The model's performance is measured using the F1 score, with a final score of 0.75 for VGG-16 and 0.68 for DenseNet121.