bluuebunny/crossref_metadata_2025 huggingface dataset:
Bibliometric Analysis of Publications on Cleft Lip and Palate
Authors: Jadhav Vikrant V. , Kale Bhairavi , Meshram Mrunal G.
Published: April 2022

Cleft lip and palate (CLCP) is a frequently occurring congenital anomaly of craniofacial structure and the second most common after club foot. The aim of this bibliometric analysis was to provide a summary of countries, universities, authors, journals, and research data related to CLCP. Method: CLCP studies published in PubMed indexed journals from 1976 to 2021 were extracted from the Science Citation Index expanded core database. Publication of authors, journals, universities, and countries were retrieved and quantitatively analyzed using the R-Studio biblioshiny package.The core data set included a total of 99 Journals and books. 198 documents were recognized. Top 20 PubMed indexed journals were selected, which publish the data regarding CLCP. 20 universities were also analyzed for treatment of CLCP. Average years from publication are 11.7 years. Results: A total of 198 documents were extracted. Documents were derived from 1976-2021. The number of documents/publication research steadily increased from 1976 till 1990. Then there was fall in number of papers and research articles. Over the time, from 2010 till 2021, publications have tremendously increased from all over the world. Different countries and universities with collaboration strategies have started research work in this field. Conclusion: This research includes data of 46 years, therefore, this bibliometric research of CLCP will provide complete knowledge of trends in CLCP during these years. This will provide an insight for new research projects across the globe.
Biosorption of Rubber Seed Shell as a Waste Material in the Removal of Cadmium Ion from Contaminated Water
Authors: Arthi D , Gladis E H Edinsha , Nagashri K , J Joseph
Published: April 2022

Heavy metal ion contamination in industrial wastewater is a major source of concern. Among the numerous approaches, biosorption has attracted the greatest attention in the removal of heavy metal ions from water. In particular, cadmium is bio-accumulative that poses a threat to our health when it exists in excess in our bloodstream. Here, the elimination of Cd (II) ions from wastewater using adsorbent derived from rubber seed shell (RSS). Further, thermogravimetric analysis was performed to determine the stability of materials. According to the hard and soft acids and bases (HSAB) principle, the rubber seed shell as novel bioadsorbent creates hard surface sites for cadmium ion adsorption. Batch experiments were carried out to determine the effects of pH, contact time, initial metal ions concentration, and biosorbent dosage on the removal efficiencies of Cd2+ ion using rubber seed shell. Adsorption isotherms and kinetics models were also performed for the elimination of Cd2+ ion. The optimum conditions was conducted and achieved 96% removal efficiencies of Cd2+ ion from water (pH 5.6, temperature 60°C, and initial metal concentration of 150 mg/L, the adsorption dosage 180 mg/g). The outcome of the present investigations indicated that the increasing use of bioadsorbent materials due to their low cost, regeneration ability, high adsorption efficiency, and higher removal percentage of metal ions from water sources.
Digital Tools of the Commercial Finance Market Form New Institutions of Economic Development
Authors: Bogachev Viktor , Gorenburgov Mikhail , Sologubova Galina
Published: April 2022

A pragmatic approach to building market institutions is to select mechanisms that operate in a real non-congruent world, currently seeking to virtualize everything that can exist digitally and offer consumer value. The instrumental and infrastructural nature of digital products determines their ability to cross-pollinate with all industries and activities. The scope and depth of influence - ubiquity, determine the institutional level of the phenomenon. Digitalization not only changes outdated or dysfunctional institutions, but itself becomes a rule / condition for business success, transforming profitable business models into customer-centric ecosystems. Analysis of materials for 2020-21: a Gartner survey, a report of the American Chamber of Commerce in Shanghai, a Capgemini study, NASDAQ 100 forecasts, stock market reports, expert reviews, led to the following conclusion. Financial management in the supply chain using digital product infrastructure offers new effective ways of commercial finance, such as decentralization of finance, open blockchain networks, tokenization of corporate assets, setting new rules for doing business.
Classification of Hospitality Enterprises as a Course of State Regulation of the Quality of Hospitality Services in the Russian Federation: Prospects and Challenges
Authors: Pavlovna Rozanova Tatyana , Igorevna Kosheleva Anna , Vladimirovna Tarasenko Elvira
Published: April 2022

The article improve the ways of developing a classification system for hotel enterprises in the Russian Federation and the analysis of the results of its implementation. The relevance of the research is confirmed by the high role of instruments of state regulation of the hotel sector in terms of quality improving in hospitality. The authors put forward the hypothesis that the main goal of mandatory classification of hotel enterprises in the Russian Federation as a direction of state regulation of hotel services quality will be achieved if the quality is ensured by three main components: quality management system, material and technical base and qualified personnel. Methods and materials used in the work include analytical approaches of systemic, retrospective, expert analysis and sociological research. According to the results of the study of the totality of hotel enterprises that have passed the classification procedure, it is concluded that there is a comprehensive approach lack to this procedure on the part of the management of hotel enterprises, competent distribution of tasks and setting clear deadlines for the implementation of measures not only to update the material and technical base for compliance with the declared category, but also to introduce appropriate service processes, their operational management system and timely and regular staff training. The authors give recommendations for developing an effective model of hotel administration, which will help to solve the identified problems, including those based on the existing legal regulations.
Towards Sustainable Living through Sentiment Analysis during Covid19
Authors: Goswami Mausumi , Abraham Ahini
Published: April 2022

Artificial intelligence is the process of the machine to perform with the simulation of human intelligence. Computing within the field of emotions paves the recognitions to sentiment analysis. Sentiment analysis is the method of capturing the emotions behind a text whether or not it's positive, negative or neutral. Sentiment Analysis (SA) or Opinion Mining (OA) is the process to provide computational treatment to unstructured data to categorize and identify the sentiments or emotions expressed in a piece of text. It combines Natural Language Processing Techniques and Machine Learning Techniques. This technology is additionally referred to as opinion mining or feeling computing. Sentiment Analysis uses the ideas of machine learning alongside an AI based process called NLP to extract and analyze the data, emotions, information from the text. This work explores the impact of social media during covid 19 and possible link between sustainable living and health care with the usage of sentiments. This paper address the sustainable development goal 3 (good health and wellbeing) of SDG 2030 and a possible way towards sustainable living through sentiment analysis.
Fruit Image Segmentation Using Teacher-Learner Optimization Algorithm and Fuzzy Entropy
Authors: Gill Harmandeep Singh , Kumar Surender , Chakrabarti Sudakshina
Published: April 2022

To perform robust fruit image segmentation is a challenging task due to several variances in the varieties. Thresholding is one of the popular segmentation methods in recent times. The fuzzy entropy scheme has been mostly applied to image thresholding. Fuzzy membership functions are the major source for segmenting the image by fuzzy entropy and thresholding. In the proposed paper, the Teacher-Learner-Based Optimization (TLBO) algorithm is involved in searching for optimal threshold values combination for fruit image segmentation based on fuzzy entropy. The proposed scheme is performed on red apple, green apple, golden apple, guava, and orange fruit images. For comparison of segmentation results of the proposed scheme with existing approaches, PSNR and uniformity parameters are utilized. It has been observed that the performance of the proposed approach is more effective than GA (Genetic Algorithm), BFO (Bacteria Foraging Optimization), and HBMO (Honey Bee Mating Optimization) approaches.
Investigating the Idea of Multifunctional Public Spaces for Sustainable Communities
Authors: Pranab Priyani , Bansal Vidhu
Published: April 2022

In order to accommodate the needs of a rapidly growing population, cities are losing their open urban spaces to provide infrastructure. These spaces act as lungs of a city, areas of traditional occupations, and community gathering spaces during social events. This paper takes up the case of open spaces used for traditional livelihoods. This research investigates whether multifunctional spaces can generate economic opportunities alongside urban experiences for traditional communities. This paper assumes that a multifunctional urban space is the integration of different functions in time and space. A technique of questionnaire-based study coupled with architectural design iterations is used to analyze and propose sensitive design solutions to the problems identified with the multifunctional urban space. The chosen area is Ulsoor Dhobi Ghat in Bangalore, a historic site in an upcoming heritage precinct of the city, thus providing the opportunity to transform it while creating an identity for the Dhobi community.
Antiurolithiatic Activity On The Fruits of Coccinia Indica Ethylene Glycol Induced Lithiatic In Rats
Authors: Kumar Mayank , Sharma R. , Sardana S.
Published: April 2022

In the present most typical affliction is found in individuals, calcium oxalate is a significant constituent of most urinary stones. Coccinia indica (Cucurbitaceae) is found in a hotter and damp piece of India. It is seen that a major number of phytoconstituents revealed that flavonoids, triterpenoids, and from various plants showed antiurolithiatic action altogether diminishing the size of calculi in the kidneys and improving the discharge of calcium, phosphate, and oxalate. The point of this research was to examine the impact of alcoholic extract product concentrates of Coccinia indica on urolithiasis in male rats. This work aims to collect, identify, and authenticate the plant and separate the phytochemical parts present in the alcoholic extract of Coccinia indica, and characterize its phytochemical nature by qualitative and quantitative preliminary screening and elucidation of the structure by chemical analysis of spectral data. Later that to survey the calcium oxalate crystallization restriction by in-vivo method using male Wistar albino rats.
Digitalization of Texts: An Analysis with Reference to the Indian Epic Mahabharata
Authors: Mishra Deepanjali , Singhania Visakha
Published: April 2022

Digitalization plays a very important role in the revitalization of cultural heritage and keeps our societies connected across generations. India’s rich tangible and intangible culture consisting of its profound history, timeless folklores, and mythologies have carved a special niche for India across the world. The Mahabharata is one of two Indian epics that depicts the story of a dynastic conflict between two sets of relatives for control of the Bharata kingdom in central India. To preserve the manuscript of the Mahabharata in a way that it could be made available for posterity, the introduction of digital technologies and digitization seemed viable, giving an opportunity to preserve, transcend originals, disseminate the information to a much larger audience, allowing the prevailing information to be rewritten, reconstructed, decoded and expanded, and voiced. This paper is an attempt for the qualitative investigation of the various tools of digitalization and their impact with reference to the epic Mahabharata.
Hybrid Composite Photocatalysts Membrane System For Industrial Water Treatment And Renewable Energy Applications
Authors: D .Krisha , Chamundeeswari M. , Tamilarasan K.
Published: April 2022

A combination between the composite photocatalyst and membrane system towards the development of hybrid process for various applications especially in water treatment and renewable energy synthesis. These hybrid processes overcome many of the difficulties that are associated with conventional methods and promote process intensification. The hybrid photocatalytic membrane process could reduce the downstream process and also degrade the toxic compound in the waste water. Effluent waste water generated from industrial and domestic process, it consists of complex organic compounds such as lignin, phenolic compounds, pectin, proteins and minerals etc. The effluent containing organic dyes and phenolic compounds releases toxic materials into aquo system poses environmental concern. The traditional effluent treatment very challenge process due to consist mixture of organic and inorganic pollutants such as lignin, resins, tannins, chlorinated phenol, waxes and heavy metals etc. Recently, many industries planning to reuse treated water for economic reasons and environmental protection.
A Hybrid Graphical Password Technique for Mobile Data Security Based on Direction
Authors: Chopra Aakanksha , Gupta Megha , Sharma Vivek Kumar
Published: April 2022

Mobile Security has exponentially increased data sensitivitydue to the users upsurge in mobile devices. People are utilizing smartphones as the substitute for desktop or laptop systems, from which they access, download, upload, modify, create, and share their files. Every data has become crucial as and when exposed to other platforms via smartphone. Therefore, all smartphones require security from malicious users. Forthcoming mobile devices will have hybrid graphical passwords as prospects for customer authentication. Users can easily interact with their devices through mixed authentication techniques on mobiles by safely entering the graphical passwords. This paper focuses on Character Set and Direction (CSD) technique developed on the android application for mobiles, which takes a character set and a unique direction as a graphical password for its input method. The significant advantage of the proposed technique is that; it is user-friendly, lightweight, has an extraordinary input/output modality, and has a custom-built mobile application prototype for the Registration and Login Phase. Developed a mobile application for Character set and Direction with four standard directions to construct a unique password scheme and investigate its security, memorability, and graphical user interface. The results are highly encouraging as this technique can be a highly secured authentication technique and high user memorability, and increased usability.
Impact of Extended Marketing Mix of Casual Dining Restaurants on Customer Experience and Customer Satisfaction
Authors: Arora Sonali , Malik Garima , Gupta Sangeeta
Published: April 2022

Hospitality industry is one of the most customer centric industries as it involves direct interaction of the company with the customers. Traditionally, the term ‘restaurant’ was used to refer to the places that provided tables where one can sit down to eat the meal, typically served by a waiter. Over the past few years there has been an incredible rise of fast-food and takeaway restaurants. Therefore, a retronym for the older standard restaurant was created, ‘sit-down restaurant.’ Generally, ‘sit-down restaurant’ refers to a casual dining restaurant, which provide table service, rather than a fast food restaurant where one orders food at a counter. Restaurants could be classiﬁed as high-contact services as the service is produced in the presence of the customer [1] as well as the interactions between customers and the other parts of the restaurant offering are important. Going to a restaurant is not about having good food at reasonable prices, it has now become an experience. Customer service experiences are defined as the lasting personal impressions that customers receive upon first encountering a product, service, and/or company, which they hopefully take with them and communicate to others [2]. People go out to eat with their family, friends, and colleagues to have a nice experience which includes fairly priced good food, nice ambience, music, lighting, etc. They now seek a ‘dining experience.’
An Overview on Smart Polymers as the Backbone to Hard Tissue Formation
Authors: Hussain Siddique Sha Muhammed , G Dhananjaya , Shetty Ashmitha Kishan , Latha Manasa Biligowda
Published: April 2022

The tooth which is made up of enamel, dentin and cementum mineralized structures and bone have high degree of hardness. Dental caries is another common human illness. Secondary caries causes caries therapy to fail over time. After a fracture or defect, bones have a moderate capacity to self-heal. Hard tissue regeneration comes at a high cost to society, which is likely to rise substantially as the population ages. As a result, developing appropriate biomaterials for hard tissue repair and regeneration is a critical job, particularly in countries with a significant senior population. Smart materials which can also be termed responsive materials are synthetic materials that can sense external stimuli and change one or more characteristic. Smart materials made up of polymer are most often utilized in the bio-medical area because they combine natural polymers high biocompatibility with synthetic polymers adjustable and functional characteristics.
Design Study on Actuated Traffic Control System Using Internet of Vehicles for Smart Cities
Authors: Sharon Sinchana , Krishnamoorthy Anoosh Ram , Salis Vimuktha Evanjaleen
Published: April 2022

Due to rapid population growth and economic development, vehicular traffic has become a huge issue, necessitating the urgent need for automation in transportation. This research proposes an Intelligent Transportation System (ITS) to regulate and improve the efficiency of traffic flow for actuated traffic control that is suitable for future traffic systems and smart cities. The proposed methodology entails equipping vehicles with latest sensor technology, which can wirelessly communicate with vehicles nearby. The Internet of Vehicles (IoV) is a network of vehicles that communicate with one another and with the Zonal Monitoring Unit to form a network of intelligent devices. The real-time data is transmitted to an Integrated Centralized Satellite System, which develops an efficient algorithm that analyses the collected data for actuated traffic control using Adaptive Signal Control technology. The primary objective of the algorithm is to adaptively optimize the traffic signals and maximize traffic flow rate, resulting in a smooth traffic flow.
Curcumin Nanoparticles as Promising Anticancer Agent Against Human Colorectal Cancer Cell Lines
Authors: Pillai Reshma R , Sreelekshmi P B , Meera A P
Published: April 2022

Curcumin, the main bioactive material found in turmeric, has been extensively studied as a curative measure for variety of diseases. Besides its high therapeutic value, curcumin possess some inherent limitations like poor aqueous solubility, less bioavailability, rapid metabolic rate, and fast elimination from the body. In the present study, nanoformulation of curcumin was discussed to improve its potentials and to reduce the disadvantages. The curcumin nanoparticles have been synthesized by wet-milling technique and have been characterized using FTIR, UV-Visible spectroscopy, SEM-EDS, TEM, and XRD. The results showed that the particles have a uniform dispersion and possess spherical shape with size ranging from 10-30 nm. FTIR studies showed that there was no change in the chemical structure of curcumin during the nanoparticle synthesis process. The anticancer activity of the synthesized nanoparticles was studied against DLD-1 (colorectal cancer) cell lines and cytotoxic evaluation was done against L929 (fibroblast) cells. It was observed that the curcumin nanoparticles significantly reduce the cell viability of DLD-1 cells in a concentration dependent manner and less toxic on normal L929 cells.
Folk Theatre as a Mean of Resistance and Social Change: A Sociological Inquiry About Inception and Need for Revitalization of Bhavai
Authors: Parekh Pratham , Tiwari Mahalaxmi
Published: April 2022

Bhavai is a unique folk art theatre of Gujarat that originated in 1360 AD. It is believed to be initiated by ‘outcaste’ nomads. Marginalization made this form of theatre to be more satirized against the stigma imposed by the caste system. Instead of protesting exclusion, this art form provided ground for tenacious, long-lasting, and zestful ways of expressing subjective feelings of the marginalized. The study tries to investigate how folk theatres can become a way of expressing resistance and project desired directions for community development. It also traces periodical changes that occurred since the inception of Bhavai. An attempt is made to find out how recent commercialization diluted the original essence of Bhavai. The study sociologically approaches to understand the deterioration of this folk theatre. This form of theatre has now been reduced to the symbolic identity. Efforts of the state community to retain originality to Bhavai can be deleteriously observed. Address SDG No. 16.
Sub-Threshold Voltage Operated High Speed Domino Logic OR and AND Gates
Authors: Shrivastava Komal , Garg Parul , Zahiruddin Syed , Srinivasulu Avireni , Ravariu Cristian
Published: April 2022

This paper demonstrate a new design technique for the implementation of sub-threshold voltage range domino logic gates using MOSFETs. The paper shows the implementation of the sub-threshold voltage domino logic for OR, and AND gates. These circuits work in the sub-threshold voltage range, hence, drastically reducing power consumption. This is achieved by adding a voltage boosting block that is introduced with the value of a capacitor of 1 pF which creates a faster and power-efficient pull-down network. These proposed circuits are operated at sub-threshold voltages. These circuits are simulated with +0.3 V supply voltage to yield results with good driving capability and good noise margins. The proposed circuits are designed using gpdk 180 nm CMOS design process using an LTspice tool.
Logistic Regression Analysis for the Classification of Human Pulse Data
Authors: Dubey Sanjay , Kumar v Praveen , Prasanna K. Sai , Chinnaiah M C
Published: April 2022

For its simple, effective and non-invasive approach, radial pulse signals have been used for diagnosing the health condition of humans. Despite the fact that there are numerous methods for acquiring pulse data and data processing techniques, no model based on predictions and classification is still to be constructed. Hence, the suggested work intended to classify human pulse signals using a logistic regression model that is better at understanding them. Logistic regression was used to evaluate and extract dependent and independent variables from a dataset of human pulses. This method identifies the best-fitting model to represent the relationship between dependent and independent variables, as well as the performance of each dosha, such as Vata, Pitta, & Kapha that enables medical practitioners/clinicians in understanding the relationship between each dosha, determining the performance of each dosha will assist him in finding the dominance among three and, based on this, he can recommend treatment.
Prediction of User Overall Gratification in Indian Tourism Domain on Hotel Classes and Trip Types
Authors: Krishna Chinta Venkata Murali , Rao G. Appa , AnuRadha S. , Sagar K.V. Daya
Published: April 2022

The revenue and economy of the country in the past years significantly depend on tourism. The hotel sector's role is even more prominent in tourism. The plans and decisions of tours of users can be recommended with the collaboration of E-commerce and hotel management. The traveling proportion of the population is getting minor over the months due to the worst impact of COVID-19. Thus not just the tourism, the hotel sector is also in vain in terms of revenue. Users' past experiences and opinions help boost their satisfaction levels by providing recommendations and retaining them. The present scenario and stats prove that the selection and decision of hotels have enormous support on user reviews. This research article tries to find and analyze the various aspects that contribute more towards the gratification levels of users in Indian top tourism city hotels listed by the Master and VISA Inc. survey. This survey focuses on the item-item collaborative filtering and regression techniques based on TripAdvisor reviews of recent times. Once the dimensions are known, it helps in improving them and thus even enhances the ratings of Asian continental hotel management. This study proves that the online travel platform helps obtain reviews from users to maintain the travel recommender systems.
Studies on Partial Replacement of Cement By Eucalyptus Ash in Concrete
Authors: H N Harsha , . Radhakrishna , K C Sachin
Published: April 2022

Cement composites have become an inevitable part of the construction industry. Emissions from the cement production process are harming the atmosphere. Need for mitigation of cement usage and responsibility to make the concrete sustainable has made the researchers to replace cement with its supplements. Eucalyptus ash is one such alternative obtained from kilns of brick other minor boiler industries. In this research, cement is substituted with eucalyptus ash at 20, 40, 60, and 80%. Fresh and hardened properties of concrete trial mixes are determined. Workability and strength were satisfactory only till the replacement of 20%. Beyond 20% replacement, strength and density decreased gradually. To make the concrete sustainable, cement can be replaced by eucalyptus ash by 20%.
Modular Ultra-High Gain Non-Isolated DC-DC Converter for DC Microgrid Integrated with Fuel Cell
Authors: Gurjar Vaibhav , Kishore Sachhidanand , Tewari Nilanjan , Jayaraman Meenakshi , VT Sreedevi
Published: April 2022

In recent years, DC microgrid integrated with energy sources like solar PV, fuel cell, and batteries receives tremendous attention due to the depleting fossil fuel reserves, massive urge to reduce carbon footprint, and initiatives for decentralized power distribution policy. It is essential to connect an intermediate DC-DC converter between these low voltage sources and grid. This paper presents an ultra-high gain non-isolated DC-DC converter for DC microgrid system integrated with fuel cell. This converter is developed by judicially combining both switched inductor (SI) and switched capacitor (SC) techniques as gain extension network. Integration of these techniques in the adopted circuit for ultra-high voltage gain evolves into a hybrid modular structure with extendable gain options. This paper includes circuit diagram, operation, design procedure, and results of the proposed hybrid SI-SC (HSISC) converter. Results available from the hardware model of 380V/200W validate the performance of the converter at an efficiency of 92.23%.
High Energy Storage Efficiency and Electrocaloric Effect in Pb-Free Ba0.85Ca0.15Hf0.10Ti0.90O3 Ceramics for Sustainable Green Energy Applications
Authors: Nandan Revati , Kumar Sanjeev , Negi Nainjeet Singh
Published: April 2022

In this work, Pb-free Ba0.85Ca0.15Hf0.10Ti0.90O3 (BCHT) ferroelectric ceramic was synthesized via the sol-gel method and its structural, dielectric, ferroelectric, electrocaloric, and energy storage characteristics have been investigated under a low electric field of 20 kV/cm. The Rietveld refinement of XRD patterns shows good agreement with the co-existence of two phases tetragonal (P4mm) and cubic (Pm3m), with each phase contribution of 58 and 42% respectively. A volumetric porosity of around 11.5% is observed. The electrocaloric temperature change ΔT and entropy change ΔS have been estimated by an indirect approach using Maxwell relations. The room temperature value of – ΔS and ΔT are 0.207 J/Kg.K and 0.157 K respectively and a wide temperature span of 50K was observed. The room temperature observed enhanced total energy density, recoverable energy density, and energy storage efficiency were 84.43 mJ/cm3, 64.38 mJ/cm3, and 76.25 % respectively. The maximum energy storage efficiency of 85.03% was observed at 80oC. The Pb-free BCHT ceramic is a promising candidate for eco-friendly cooling and energy storage technology.
Understanding Stability of FeTiVNi and CoFeVNi High Entropy Alloys Using Density Functional Theory
Authors: . Payal , Sharma Hitesh , Mudahar Isha
Published: April 2022

The research based on High Entropy Alloys (HEAs) has increased significantly due to the fact that HEAs contain numerous primary elements, allowing for a much greater variety of their compositions than conventional alloys. We have investigated two HEAs namely, FeTiVNi and CoFeVNi for their structural and electronic properties that include total energy minimization, equilibrium lattice parameter a0, Density of States (DOS), partial Density of States (pDOS) and band structure of the systems. To predict the stable phase of the alloys, we have calculated atomic size difference (δ) and Valence Electron Concentration (VEC) parameters empirically. The results from empirically calculated parameters and the total energy minimization agrees that stable phase for FeTiVNi HEA is body centered cubic (bcc) and for CoFeVNi is face centered cubic (fcc). The findings show that these HEAs have metallic phases with overlapping bands near fermi region.
A Comprehensive Review On Earthworms’ Vermicompost: A Strategy For Sustainable Waste Management
Authors: Mishra Madhu , Pande Rakesh Kumar , Ray Sudeshna
Published: April 2022

‘Vermicompost’, an organic fertilizer rich in NPK, micronutrients, and beneficial soil microbes (nitrogen fixing and phosphate solubilizing bacteria and actinomycetes), is a sustainable alternative to chemical fertilizers, which is an excellent growth promoter and protector for crop plants. Today ‘vermicompost’ is an important component of organic farming systems, because it is easy to prepare, has excellent properties, and is harmless to plants. Researches show that vermicompost further stimulates plant growth even when plants are already receiving ‘optimal nutrition.’ Vermicompost is rich in NKP (nitrogen 2-3%, potassium 1.85-2.25%, and phosphorus 1.55-2.25%), micronutrients, and beneficial soil microbes and also composed of ‘plant growth hormones & enzymes.’ It is scientifically proving as ‘miracle growth promoter and also plant protector’ from pests and diseases. Vermicompost retains nutrients for a long time, while the conventional compost fails to deliver the required amount of macro and micronutrients, including the vital NKP to plants in shorter time. In this comprehensive review, we summarize the current status of Vermicomposting as a pathway of sustainable waste management in India as well as worldwide.
An Approach for Improving Similarity Measure Using Fuzzy Logic
Authors: Bhari Purushottam , Dadhich Abhishek , Khandelwal Vikram
Published: April 2022

An information retrieval system stores and indexes documents such that when users submit a query, the system gets relevant documents and assigns a score to each one. The higher the score, the more important the document is. IR systems typically yield vast result sets, and users must spend a significant amount of time sifting through them to identify the elements that are genuinely important. Different suggestions for applying evolutionary computing to the topic of information retrieval will be reviewed from the specialist literature. To do so, researchers looked at a variety of IR issues that were addressed using evolutionary algorithms. Some of the current ways will be detailed in detail; for example, when dealing with specialized domain knowledge, this challenge can be solved by embedding a knowledge base into existing information retrieval systems that illustrates the relationships between index words. The fuzzy set theory may be used to change the knowledge in the bases to cope with the ambiguity that is typical of human knowledge. In this work, a novel way for implementing a similarity measure utilizing fuzzy logic for IR is provided. A suggested similarity metric is based on many IR system attributes that boost IR system performance. This method's strength is that it can extract the majority of a document's characteristics. Fuzzy rules, which translated domain knowledge into fuzzy sets, were also designed to make this most effective. Our suggested similarity metric is validated using the CACM and CRAN benchmark datasets.
Smart Home Activity Recognition for Ambient Assisted Living (AAL)
Authors: Rajamohan Kavitha , Nazz Sakina
Published: April 2022

With the increasing age of an individual, the chances of being prone to chronic diseases like diabetes or non-curable diseases like Alzheimer’s Syndrome or Parkinson's Syndrome increases. Due to the health issues, elderly must be accompanied by caretakers to monitor their well-being at all times. With growing responsibilities and work pressure, the family members may find it challenging to find a trustworthy caretaker. In such scenarios, an assisted living environment acts as a boon. A normal home embedded with different sensors to monitor an individual’s well-being is called as Ambient Assisted Living(AAL). This living environment detects anomalous behaviour and recognizes human activities. In this research paper, a smart home activity recognition model is proposed and implemented using four machine learning algorithms using six different publicly available datasets. It has been observed that Random Forest machine learning algorithm shows the best accuracy on most of the dataset.
Intrinsic Strength Behavior of RAC Subjected Elevated Temperature
Authors: Rao Suguna B , Naik Srikanth M
Published: April 2022

Environmental deterioration as a result of development has wreaked havoc on the environment and jeopardizes its sustainability. Every year, millions of tonnes of construction and demolition waste (CDW) are generated as a result of the exploitation of natural resources, particularly non-renewable resources, for building purposes. In this study, an effort is made to consider CDW as a partial replacement of coarse aggregates to obtain recycled aggregate concrete and emphasize its strength properties, thereby reducing the burden on the requirement of natural resources. While RCA is being used as structural concrete, concrete is possibility exposed to elevated temperatures, which can disintegrate the concrete. Hence strength behaviour of RAC and its strength properties at elevated temperatures are emphasized. Considering the RCA replacement ratios of 0%, 50%, and 100% and water to binder ratio of 0.27 and 0.36 for compressive strength, split tensile strength, and flexural strength, the behaviour of RAC is investigated for elevated temperature; TGA analysis and FTIR are conducted on the RAC that is arrived at by conducting optimization and beneficiated RAC is proposed as a structural concrete at elevated temperature.
Noninvasive Optical Imaging System of Biological Tissues
Authors: Kadayat Tek , J B Jeeva
Published: April 2022

The non-invasive optical imaging of biological tissue for the detection of the inhomogeneities is studied using phantom. The proposed system which is based on optical reflectance consists of a scanning probe with four sources and twelve detectors. Every unit furnished with a source and three detectors that are organized in a straight-line design to gather the backscattered photons. Photo-detectors are arranged in four rows and three columns with each source followed by three detectors. The distance between first, second, and third column of detectors with source is kept at 7 mm, 12 mm, and 17 mm respectively to obtain information about inhomogeneities. A phantom is prepared using paraffin wax with inhomogeneities placed at 7 mm, 12 mm, and 17 mm depth. Goat tissue phantom was prepared with muscle with bone placed within the layers of muscle. The probe is placed on the phantom and moved over its surface. Data are collected by the detectors at each location as the probe moves. The data acquired from two distinctive wavelength gives correct information about the range of inhomogeneities.
The Dissociation Temperatures and Suppression Study of the Bottomonium States for the Lhc Energy
Authors: Solanki Siddhartha
Published: April 2022

We revisited the suppression study of the bottomonium states using modified form of the Cornell potential as suppression is known from the long time as the signatures for the existence of the quark gluon plasma. We have employed the quasiparticle Debye mass for obtaining the binding energies and the dissociation temperature for three flavor quarks. The binding energy and dissociation temperatures thus obtained have been further used to deduce the suppression of the bottomonium states. Finally, a significant comparison has been made between the theoretical results and experimental data for the various energy scales of LHC in Pb-Pb collisions and there is good agreement between the two.
Field Emission Induced Electromigration in Focused Ion Beam Fabricated Three-Dimensional Tungsten Overhanging Nano-Electrodes
Authors: Singh Abhishek Kumar
Published: April 2022

Three-dimensional tungsten (W) overhanging electrodes are fabricated using a focused ion beam. Their I-V characteristics, measured inside the FIB chamber at a pressure of ~ 10-6 mbar, follow tunnelling at low voltages (V < Ф/e, where Ф is the work function and e is the electron charge). Electron emission due to the tunnelling process activates the electromigration process within the electrode, whereby atoms move in the direction of the current, leading to gap reduction and, in turn, lowering of the resistance. This phenomenon can be utilized for continuous control of the gap down to the quantum level and thus open up the possibility of fabricating molecular devices.
Mathematical Modeling, Design, and Optimization of Airfoils and Aircrafts Operating at Specific Reynolds Number
Authors: Kakade Sayali , Seeni Aravind
Published: April 2022

Although there are several airfoil designs available to choose from, for the application of aircraft design, the problem of finding the optimal design based on mathematical and physical modeling has not been attempted before. For that purpose, research on existing literature has been done to find the most efficient and optimal airfoil design and optimization technique to be further used for designing and optimizing airfoils. Both physical and mathematical modeling along with other computational algorithms will be used to generate optimal new airfoil designs for high lift and low drag for specific operational conditions.
A Systematic Literature Review of Strategic Partnership in Sustainable Supply Chain - Indian Aerospace Industries
Authors: P G Yogindra , G S Vijaya
Published: April 2022

The sustainable supply chain is an integration of mainly environmental and social aspects to the traditional supply chain for an organization’s economic performance over a long period and creating a competitive advantage. Supply chain collaboration or strategic partnership is important in the supply chain network, which can result in effective sustainable supply chain in all three dimensions of environmental, social, and economic aspects of an organization. In the present study, an attempt has been made to develop a conceptual framework in understanding the role of supplier strategic partnership and collaboration in creating a sustainable supply chain in Indian aerospace industries. This framework has been developed by considering the concepts and research gaps identified by several researchers in the relevant research articles on sustainability, sustainable supply chain management, green supply chain management, supplier collaboration, or strategic partnership. This framework is developed focusing on goal 9 of the 17 sustainable development goals namely Industry, Innovation, and Infrastructure.
VLSI Implementation of a High Speed Multiplier Using on the Fly Conversion Technique
Authors: S Karunakaran
Published: April 2022

An On the Fly Conversion Technique included array multiplier with optimum design. A multiplier loaded with N-Bit results to produce 2N bit partial products. The discermentation of bits will be as (2N) -(N/2) in addition with N/2 Bits. The Engineering of the bits differed with each other depending on the positions in their structure. This paper is considered in implementing an array multiplier put in effect using On the Fly Conversion Technique staked with Hybrid Full Adders abates the time delay. Instead of using a truncation or addition approach, the array multiplier described in this paper is constructed and implemented using a standard array multiplier scheme. The OTFC Logic Is used to boost Carry-Propagation at the final stage of Multiplication.To incorporate the MSB bits in parallel with the LSB bits, all of the final carry outputs were added into the OFTC circuit to get the result in less time. This work leads to achieve the sustainable development goals in the industry, innovation and Infrastructure.
An Empirical Comparison of Machine Learning Algorithms for Attack Detection in Internet of Things Edge
Authors: J Manokaran , G Vairavel
Published: April 2022

This research work is aimed to perform a comparative analysis of different machine learning algorithms for attack detection at the Internet of Things (IoT) edge. Due to the rising development of IoT, attack detection has become extremely important in network security, as it protects the IoT network from suspicious activities. The self-configuring and open nature of IoT devices is vulnerable to both internal and external attacks. The statistical method of attack detection is not suitable for fast and accurate detection due to the multi-dimensional nature of attacks. Machine learning-based edge computing can rectify these issues through automated response and shifting the computation physically closer to the device edge where the information is generated. In this paper, we have compared the performances of eight machine learning (ML) algorithms to identify the optimal ML algorithm for attack detection in IoT Edge.
A Systematic Review on Features Extraction Techniques for Aspect Based Text Classification Using Artificial Intelligence
Authors: N Nagendra , J Chandra
Published: April 2022

Aspect extraction is an important and challenging and meaningful task in aspect-based text classification analysis. To apply variants of topic models on task, while reasonably successful, these methods usually do not produce highly coherent aspects. In this review, present a novel neural/cognitive approach to discover coherent aspects methods. Exploiting the distribution of word co-occurrences through neural/cognitive word embeddings. Unlike topics that typically assume independently generated words, word embedding models encourage words that appear in similar factors close to each other in the embedding space. Also, use an attention mechanism to de-emphasize irrelevant words during training, further improving aspects coherence. Methods results on datasets demonstrate that approach discovers more meaningful and coherent aspects and substantially outperforms baseline. Aspect-based text analysis aims to determine people's attitudes towards different aspects in a review.
Intensify Assured PHR Sharing in Cloud Using Entropy Based Signature Cryptosystem
Authors: Jaiswal Rajyalakshmi , Iyer Sailesh Suryanarayan , Arora Kavita
Published: April 2022

Personal Health Record (PHR) in cloud database is stored, manipulated, and shared with users for high value of health care. The challenge is privacy of sensitive personal information and protection of data. In this paper, the attribute entropy key along with signature cryptosystem is proposed to move the data’s stored in third party cloud server in a secure way. In the proposed work, the PHR data is taken as an input and an attribute is selected for which attribute key generated using KEK (Key Encryption Key) algorithm. To secure the generated key, entropy is calculated for PHR data. This key is used to encrypt the PHR data. Then signature based on support value is generated for the PHR data and it is stored with the encrypted data in the cloud. Now, when the users want to access data, decryption is allowed after verification of both generated private key and signature which basically is for data integrity. Once the verifications are successful, then the authorized users are granted permission to access data from the cloud. The results display that the suggested method performs better when compared with other existing methods on parameters like cipher text size, query processing time, communication cost, and decryption time.
Analyzing Three Predictive Algorithms for Diabetes Mellitus Against the Pima Indians Dataset
Authors: Darolia Aman , Chhillar Rajender Singh
Published: April 2022

Diabetes mellitus is a metabolic disease in which the pancreas fails to produce enough insulin required for the processing of blood glucose. Most medical institutions analyze Electronic Health Records (EHRs) manually and then predict whether the patient is diabetic or not. The objective of this work is to classify diabetes and non-diabetes patients using predictive algorithms/techniques. These algorithms provide cost, time, and effort-effective solutions for the prognosis and diagnosis of diabetes mellitus. In this work, popular algorithms like Artificial Neural Network (ANN), Random Forest (RF), and Logistic Regression (LR) have been used against the PIMA Indians. Dataset and analysis has been carried out on open-source software WEKA. In addition, this paper provided state-of-the-art by various researchers related to the said topic. This work concluded that LR outperforms other algorithms, with the accuracy of 77.10%, but in the case of area under the curve (0.83), both LR and RF perform equally well.
Deep Learning Approach for Radical Sound Valuation of Fetal Weight
Authors: M Ramkumar , Yadav Ranjeeta , Yadav Sachin , Ramesh S M
Published: April 2022

It is a very complicated task to identify and decipher the standard output plane of the fetus in the evaluation of the second trimester of 2D ultrasound, which requires a long preparation time. In addition to directing the test to the correct area, it is difficult for a technician to distinguish the applicable structure in the picture. The programmatic picture preparation function allows the device to provide assistance to experienced administrators to help them solve these problems. We portray an extraordinary convolutional neural organization-based methodology for perceiving thirteen fetal well-known perspectives in freehand 2D ultrasound data and introducing fetal primary limitation by utilizing a bouncing field in this examination. Utilizing exclusively the objective life structures, the local area figures out how to pinpoint image level labels, which is a significant contribution. Tissue engineering aims to work continuously, while providing ideal benefits for localization tasks. We provide the results of continuous reviews, recover outlines from saved pictures, and localize them in an extremely large test data set, which includes pictures and video accounts of complete clinical peculiar examinations. We tracked down that the proposed acquired 91% exactness for review outline recovery and 82% precision in the localization task.