bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Studies on Geopolymer Concrete
Authors: K C Sachin , R Amar , K M Chetan
Published: April 2022

Concrete is the most ubiquitous and highly utilized building material on earth. Production of conventional concrete requires cement and aggregates, in which cement is an eco-detrimental element. There is a need to subside the usage of cement composites to mitigate carbon emissions. A sustainable building material which can substitute cement composite is necessary and geopolymer concrete (GPC) is one such substitute. GPC utilizes marginal materials like fly ash, Ground Granulated Blast Furnace Slag (GGBS), kaolin, etc., as the binder instead of cement. In this study, GGBS was used as a binder along with conventional aggregates like river sand and crushed stone to prepare GPC. Alkaline solutions of 8, 10, and 12 molarities were prepared using pellets of sodium hydroxide and a solution of sodium silicate. GPC specimens are tested for fresh properties, hardened properties, and durability. The rate of strength gain was swift due to the usage of GGBS as the binder. The maximum strength of 81.43 MPa was achieved at 28 days for a 12-molar mix. Mechanical strength increased with an increase in molarity of alkaline solution, but the workability decreased accordingly. Split tensile strength and flexural strength were proportional to compressive strength. The results depict that the geopolymer concrete was resistant to chemical ingress and water penetration. With the increase in molarity, resistance to the corrosive environment was high. Thus, geopolymer concrete is a sustainable alternative to conventional concrete.
Role of Mobile Technology in Providing Financial Inclusion to MSMEs of India
Authors: Gupta Upasana , Agarwal Bhawna
Published: April 2022

The mobile money awareness has increased to 33% in 2020 as compared to 18% in 2019. COVID-19 led a large proportion of mobile money users to use more sophisticated financial services such as credit, savings, and insurance. The purpose of this paper is to examine the role of mobile phones in adopting financial technology on registered micro, small, and medium enterprises of India. The study will reveal the respondents' most influential factors for adopting mobile money/e-wallets in their business. The intention of MSMEs is affected by government support, satisfaction, and peer influence.
A Review on WMSN (Wireless Medical Sensor Networks) for Health Monitoring Systems
Authors: Rahangdale Harshal , Chavhan Nekita , Ade Pritesh
Published: April 2022

Wireless Medical Sensor (WMSN) networks have become a great technology to allow for the best kind of applications. Recent developments at WMSN have helped to create a comprehensive health monitoring concept in both home and hospital care settings. Current technological advances in sensors, integrated dynamic circuits, and wireless connectivity have allowed the event of smaller, heavier, less expensive, and clever body sensors. These modules are able to hear, process, and communicate with one or more important signals. In addition, they will be used on local wireless networks (WPANs) or wireless nerve networks (WBSNs) to monitor health. Many studies are being conducted and/or ongoing to develop flexible, reliable, secure, realistic, and effective WBSNs for health applications. The importance of wireless nerve networks in health surveillance is constantly evolving, due to the growing need for safety and security in cities. The rapid development of wireless technology has significantly aided the advancement of monitoring systems that have been developed through the combination of wireless sensors. The wireless health monitoring introduces emerging innovations with significant advantages when compare to conventional communication networks, which has the advantages of lowering the cost of installation and maintenance while increasing the effectiveness of the health monitoring system in the field of medicine.
A STUDY ON THE IMPACT OF COVID – 19 ON INVESTOR BEHAVIOUR TOWARDS GOLD ETF INVESTMENTS IN INDIA
Authors: B Anitha KUMARI , B Diwakar NAIDU
Published: April 2022

The hyperbolic discounting dimensions of investment decisions in gold exchange traded funds do not appear in the existing literature and no study has been conducted with a focus on gold exchange traded funds to understand the impact of time inconsistency on the investment decision in a gold exchange traded investment. This study is exploring the impact of behavioral factors on investment decisions in gold ETFs during the pandemic situation. Hence, this study has relevance in terms of analyzing and determining the hyperbolic investor behavior for investment in gold ETFs. Research helps to understand the impact of hyperbolic discounts on gold ETF investment decisions understand the impact of behavioural elements on gold ETF investment decisions. Research can provide insight into reasonable and illogical patterns of Investor behaviour influencing investment decisions.
APPLICATIONS OF MACHINE LEARNING TECHNIQUES TO GENERATE CROP PREDICTIONS WITH BETTER PRECISION
Authors: R R.Kiran Kumar , Reddy K Anji
Published: April 2022

In most parts of India, agriculture has become a risky business and farmers suffer a lot due to unpredictable yield. The risk is mainly due to availability of water resources for cultivation and getting profitable prices in market. Prices alter between very high and very low, so crop planning has become very important for farmers to minimize the losses. Machine learning techniques can help to understand the under laying patterns from mass data and this patterns can be used to help farmers for crop planning, also it would reduce the risk of crop failure and guarantee a maximum profit for farmers to sustain their livelihood. But human knowledge cultivation is not sufficient to cater for the demanding need due to the rapid growth in the world's human population. In order to address this problem, this paper has studied the use of machine learning tools. It experimented with more than 0,3 million data. This dataset identifies key parameters of cultivation collected from the Bangladesh Agriculture Department. This study compared the number of machine learning algorithms to neural networks.
ANALYSIS ON APPLICATIONS OF AN IOT BASED SDN SMART HEALTH MONITORING SYSTEM
Authors: S Shaik Razia , J. Sirisha , Sivaramakrishna K.
Published: April 2022

The need for IoT-based remote health monitoring devices to look after the health of seniors was promoted by health experts and scientists. Such technologies may, however, generate vast quantities of data, making the security and privacy of that data essential.
Machine Learning Based Face Recognition System
Authors: I IMV Krishna , Kanth R Madhu , Sowjanya V.
Published: April 2022

This task intends to provide progressed protection by using way of allowing a patron to understand who is in reality attending to the framework using facial acknowledgment. The framework allows sincerely permitted customers to get entrance. Python is a programming language implemented alongside machine getting to know methods and an open supply library that is applied to configuration, manufacture, and educate machine gaining knowledge of fashions. An interface tool is moreover accommodated unapproved clients to enlist to acquire the front with the sooner consent from the Admin.
Recurrent Neural Networks in Predicting the Popularity of Online Social Networks Content: A Review
Authors: Anand Garima , Srivastava Shilpa , Shandilya Anish , Gupta Varuna
Published: April 2022

An online social network is a web platform that individuals use to make social relationships with people who share similar interests, activities, connections, and backgrounds. All online social networks differ in the number of features they provide and their format. In recent years, drastic growth has been seen in the users of online social networks like Flickr, Instagram, Pinterest, Twitter, etc. Among all the features of online social networks, content sharing is the one being widely used by individual users and large organizations. Due to this, content popularity prediction has been extensively studied nowadays, considering various aspects related to it. The study throws light on the use of machine learning techniques in this field. Various algorithms have been used to handle popularity prediction, including classification, regression, and clustering techniques. It is feasible to extract the essential information from such content using machine learning algorithms and utilize the retrieved information in a variety of ways, the majority of which are commercial in nature. The goal of this study is to review and analyze various recurrent neural network (RNN) approaches for predicting the popularity of social media content.
Real-Time Detection of Anomalies on Performance Data of Container Virtualization Platforms
Authors: Kamesh Dr.DBK , Prakesh A. , Sagar K.V. Daya , Rao T. Srinivasa , Krishna Chinta Venkata Murali
Published: April 2022

Application virtualization platforms are virtualization technologies that allow applications to run independently. It is observed that applications running on application virtualization platforms may have abnormal working conditions from time to time. However, such situations can be caught by system administrators examining the application log files in detail. This causes abnormal operating conditions to be captured long after they occur. Within the scope of this research, a method that allows to detect abnormal running conditions of applications running on application virtualization platforms in real time is proposed. The proposed method uses both unsupervised learning and supervised learning algorithms together. A prototype application was developed to demonstrate the usability of the proposed method. In order to demonstrate the success of the method, the tests we performed on the prototype yielded high accuracy in a real-time detection of abnormal operating conditions.
Social Exclusion in the Context of Social Identity of the Transgender Community in India: An Inclusive Approach
Authors: Ayyavoo A Kubendran
Published: April 2022

Transgender community are the most vulnerable and stigmatized groups in any society. Due to their gender identity, they are rejected by their families and communities and are often socially marginalized. The COVID-19 pandemic has diminished transgender individuals’ access to the critical emotional and instrumental social support networks that are vital to their well-being. Exclusion of transgender people made their day to day life more challenging. Consequently, many rely on Government, peer networks and voluntary organizations for social support (e.g., Government supported centres, Community LGBTQ centers, Meetup groups).
The framework of the present paper will be focusing on the social exclusion of transgender community during this pandemic times and to deliberate the inclusive measures to face the pandemic situations.
Key words: Social exclusion, Transgender, Social identity, pandemic, social inclusion
Phytosynthesized Magnetic Iron Oxide Nanoparticle from Terminalia Chebula (Harra) Seed Extract and its Sensing Application
Authors: Nayak Vanya , Singh Kshitij RB , Singh Pooja , Pandey Mrituanjay D. , Singh Jay , Singh Ravindra Pratap
Published: April 2022

Recently, green synthesis has attracted much attention from researchers and has been regarded as a viable alternative to chemical and physical methods. The Terminalia chebula seeds extract mediated magnetic iron oxide nanoparticle was synthesized in this work. As it is rich in various phytochemical substances, including chebulic acid, chebulagic, and carilagin acid, as well as antioxidants such phloroglucinol, pyrogallic, vanillic, and caffeic acid. Further, after synthesis, the nanoparticles were then characterized using advanced techniques like Fourier Transform infrared (FT-IR), UV-Visible Spectroscopy, Transmission Electron Microscopy (TEM), and Scanning Electron Microscopy (SEM) to evaluate its structural, optical, and morphological features. Synthesized iron oxide nanoparticles have proven to cause excellent dye degradation properties for most industrial dyes that harm the environment and living beings, as well as show unique magnetic, catalytic, optical, sorption, and other properties, allowing them to be functionalized in a number of advanced nano applications. Owing to this, the biologically synthesized magnetic iron oxide nanoparticles will be studied for electrochemical biosensing of pesticides, which threatens the ecosystem and human health.
Achieving an Inclusive Work Culture: Factors Contributing to Establish Inclusivity in Growing SMEs of India
Authors: R Bhanu Prakash
Published: April 2022

Work culture has been a contributing factor that drives the human resources of an organization towards satisfied or dissatisfied performance. A conceptual approach is followed to understand the work culture of SMEs in India and concept of inclusivity for employees and difference in its orientation in Multinationals and SMEs. The possibilities of extending and making ‘inclusive’ work culture an integral part of the SME ecosystem is explored through previous and existing contributions and providing a pathway to identify and strengthen the factors have been identified. An attempt is made to identify whether the demographic background influences the work culture at SMEs in the Indian context. This approach paves the path to understand the formation of the ‘inclusive’ dimension at SMEs in the present Indian scenario. The findings are aimed to state the factors that contribute towards instilling inclusive work culture at SMEs casing the characteristics of the promoters, organizational culture, community variations, along with allied perspectives, which have a significant impact. Furthermore, the advantage of an inclusive work culture shall be discussed from the view of sustained growth and development perspective of the Indian SMEs.
Secure Authenticated Communication Via Digital Signature and Clear List in VANETs
Authors: Denny Deljo , Pradeep Kumar Kukatlapalli
Published: April 2022

Vehicular ad hoc network (VANET) plays a vital role in the intelligent transportation system (ITS). When a vehicle receives a message through network, the CRL (certificate revocation list) checking process will operate before certificate and signature verification. After successful authentication, a CRL list is created based on authentication. This CRL is used to verify whether a vehicle node can be permitted for communication in the VANET network. But when using CRL, a huge amount of storage space and checking time is needed. So we proposed a method without the CRL list. It mentions a key management list to overcome large storage space and checking time. Even it reduced the access delay. For access permission we can do an authentication system based digital novel signature authentication (DNSA) for each vehicle in the VANET with the RSU unit or with other participant node vehicles in the communication as per the topology. We can perform an efficient and secured communication in VANET.
A Comprehensive Review on Rare-Earth Based Thermoluminescence Phosphors for Radiation Dosimetry
Authors: Pathan Suhana , Dubey Prachi , Tadge Prachi , Ray Sudeshna
Published: April 2022

When ionizing radiation is incident on an insulating crystal, some of the deposited energy is stored in the lattice at defect sites, colour centres, etc. Upon heating the crystal, this stored energy is released and a fraction of it may be emitted as visible light. This is called ‘Thermoluminescence.’ Within certain limitations, the amount of light emitted is proportional to the radiation dose previously absorbed by the TL material. The application of thermoluminescence (TL) as a methodology for radiation dosimetry of ionizing radiation has been well-established since several decades and has found number of practical applications in various fields, such as personnel and environmental monitoring, retrospective dosimetry, medical dosimetry, space dosimetry, high-dose dosimetry, etc. Especially, alkaline-earth silicates are appropriate compounds as radiation detectors due to their high chemical stability. Doping may either cause the formation of new defect centers or recovering of existing levels within the band-gap for a defective host which changes both the optical and electronic features of the materials. Therefore, it is of great importance by choosing both the dopant as well as the host for thermoluminescence application. It has already been reported that commercially available thermoluminescence phosphor suffers from fading, stability, etc., which justifies the ongoing need to identify factors that can be exploited to make a thermoluminescence phosphor with high efficiency and stability.
Biogenic Synthesis Of Copper Oxide Nanoparticles: Characterization And Biosensing Application
Authors: Singh Pooja , Singh Kshitij RB , Singh Jay , Singh Ravindra Pratap
Published: April 2022

Nanotechnology is a potentially growing domain of science, and breakthroughs in this have resulted in significant advances in numerous domains, such as agricultural, environmental, sensors, biomedical, etc. The current study focuses on the biogenic synthesis of copper oxide nanoparticles (CuO NPs) using latex of Ficus religiosa. We utilized stem latex to present an environmentally friendly approach for the biogenic synthesis of CuO NPs. The UV–Visible spectrophotometry (UV-Visible) technique confirms the initial formation of nanoparticles based on the visible color shift and is later confirmed by the Fourier Transform Infrared Spectroscopy (FT-IR), Transmission Electron Microscope (TEM), and Scanning Electron Microscope (SEM). Furthermore, the biogenic CuO NPs will next be evaluated by X-Ray Diffraction, Zeta-Potential, Atomic Force Microscopy, etc. The proposed work will be unique as our objective is to utilize biogenic CuO NPs to fabricate electrochemical biosensor devices for pesticide detection. Hence, it will open a new avenue for developing nanobiosening devices through a greener and sustainable approach that utilizes phytochemicals, not toxic chemicals.
ITO Conductive Ink: Advances in Materials, Preparation, and Potential Sensor Applications
Authors: Hiroli Preetam Kumar , S Varun , Mudhulu Sudeep , B Kathik , S Mahendra Kumar , C Manjunatha
Published: April 2022

The global conductive ink market size has been expected around a CAGR of 4.1%, by value and the market is estimated to be USD 3.0 to 3.7 billion in 2020-2025. Indium tin oxide (ITO) ink is used as conducting ink and in engineering applications. Therefore, the review is aimed to provide more insights into various reactants precursors, conditions, and synthesis procedure for the development of ITO nano inks. The merits and demerits of the various methods such as hydrothermal, solvothermal, spray pyrolysis, sol-gel, and electrophoretic deposition, magnetron sputtering etc., used for making ITO nanoparticles were discussed in detail. Further, various ink properties, parameters, and processes for development of ITO nano ink proposed by different research groups is also discussed. The suitable conditions to print the prepared ITO ink on suitable substrate using ink-jet fabrication methodology discussed by various research groups is also explored. Also, the review focusses on the study of the properties of the printed ink such as transmittance and the sheet resistance are also studied. Finally, the sensitivity, response, and recovery of the ITO coated electrode developed for various sensor applications is discussed in detail.
Microcontroller Based Portable Coconut Tapping Mechanism With Audio Signal Filtering
Authors: De Leon Jonathan Q. , Fernandez Flordeliza R. , Lacsina Charvin Kelsey
Published: April 2022

Philippines is one of agricultural land in Asia. In most part of the country agriculture plays a significant role in the economy. As technology evolve throughout the years, smart sensor achieved tremendous contribution in agriculture that helps the farmers to utilize insubstantial resources with paltry human mediation. Traditionally, farmers and coconut sellers determine coconut maturity by listening intensively to the sound produced by knocking manually either bare hands or knives. The ability of farmers to characterize the maturity of coconut declines as they age. Therefore, a scientific methodology to the measurement of ripeness levels seems to be of main significance. The proposed study focused on developing a microcontroller-based portable coconut tapping mechanism with audio signal filtering that can help other researchers gather data from the audio signal. The purpose is to find the average value and or ranges of values current flow reading based on varying speed which can be used in classifying coconuts maturity level. The tapping mechanism provide signal for detection and diagnosis, using the engineering principles and concepts the system uses different tapping strokes to determine the consistency of the movement. The raw data acquired from the tapping device were stored in the SD card and filtering of the acquired signal would be done through MATLAB software. The results of the experiment were described using averages and differences were tested for significance using ANOVA. The results showed that the differences in the results are not significant, implying the tapping machine's consistency
Electronic Document Flow Monitoring And Control System Using Document Structure Analysis
Authors: Atal Christina , Angala Mark , Fernandez Flordeliza R. , Lacsina Charvin Kelsey
Published: April 2022

We reside in the community that produce enormous amount of information. The magnitude of digitation in document is about transforming its movement into paperless form. The electronic document is secure with digital signature that bind with approval accepted by authorities and members of the organization. The evolving digitization use the document structure algorithm to add value tailored its services to develop as solution that improve that document flow of one university in Manila. The electronic document has the structure that can be partitioned in an order level and hierarchy pf physical elements and use the indexing to manage the document information. Documents are the most important source of knowledge and experience for any institution. Today, universities produce and use many documents in several types. These documents are paper or digital trails generated to coordinate and cooperate. Producing, sharing, copying, and archiving documents in a specific and strict document format. These documents are also needed for future decision-making based on analytics over historic data. Document Management System is a process or activity that starts from the making, receiving, collecting, organizing, controlling, maintaining, and storing. With this research, the documents from the creation, distribution, approval, modification, accessibility, recovery, storage, the printing of copies are controlled in one place. The system was developed to manage and create a centralized repository of documents. These documents can be retrieved and can be tracked online at anytime and anywhere.
Artificial Intelligence-Based Breast Cancer Analysis Technique
Authors: Rajagopal Sivakumar , Srichandan Piyush , Tiwari Ayushi
Published: April 2022

Computed tomography is the X-ray technique to diagnose diseases and injuries. Tomos = slice; graphine = imaging of an object by analyzing its slices. If one has large breast cancer, then the patient may be ordered to get a CT scan to know the level of spreading of cancer in the chest cavity. This aids in jumping to the conclusion if cancer can be removed with mastectomy. CT scans are also used to examine various other parts of patient’s body where breast cancer can unfurl, such as the lymph nodes, lungs, or spine. If the patient’s symptoms or other findings uncovers that cancer has severely spread, then one needs to get their CT scans done of the chest and abdomen too.
Detection Of Physiological Markers Via Wearable Devices For Human Healthcare
Authors: Sharma Asha , Mahajan Prerna , Singh Anoop , Arya Sandeep
Published: April 2022

Early detection of disease, before it becomes symptomatic, is attracting a lot of attention. People foresee increasing demands for medical services as their economic situation improves and their living standards rise. The medical detection technological revolution enables patients to access essential health index information by performing simple operations on wearable medical devices at home. One of the most important technologies for wearable devices is biosensing. Advancement of non-invasive monitoring of biomarkers or physiological markers are the major goals of wearable detecting devices. Wearable sensors are highly integrated devices that may be placed to the chosen locations on our clothes or bodies to continually monitor with our surroundings or equipment. This review discusses the detection of physiological markers present in saliva, breath, and tears by wearables for monitoring human health. In addition, challenges and future perspective in this emerging field of wearables are also taken into consideration.
Breaking The Chain Of Transmission Of Covid-19 By Social Distancing
Authors: Gade Shubhada , Lakra Alma , Bhadarge Gangaram , Gawande Ujwalla
Published: April 2022

While the virus's intermediate point of origin and spread to humans is unknown, it has been shown that it is capable of rapid human-to-human transmission. The virus was primarily transmitted from person to person by physical interaction. Coughing, sneezing, and laughing cause droplets. Fever, chills, cough, sore throat, breathing difficulties, myalgia or fatigue, nausea, vomiting, and diarrhoea are common signs of COVID-19 infection. Cardiovascular damage, respiratory failure, acute respiratory distress syndrome, and even death may occur in severe situations. AIM: Breaking the chain of transmission of COVID-19 by Social Distancing MATERIAL AND METHOD: A primary research study has been done using an online questionnaire created using Google form. An observation study design has been used. The respondents were sent a survey of three questions including consent forms to participants in survey, using mail ID’s and social media platforms. The material required for the review was taken from the databases of PubMed, Web of science, the from the website of World Health Organization, International diabetes federation and the patients data of SMHRC and DMMC Wanadongari Nagpur.
Segmentation Of Wound By K-Means Clustering And Automatic Prediction Of Healing Time
Authors: Kumar Udaya , J B Jeeva
Published: April 2022

A wound is any damage or break on the surface of the skin. Wounds can be injuries caused by burns, abrasions, skin tears, and surgical. They also occur because of underlying diseases. All these do not have the same healing time as it depends on the type of wound, its initial reaction, and the time taken to form new skin. Wounds generally heal within one to eight weeks depending on its nature. Non-healing types that do not heal within this period. A non-invasive type of wound assessment is proposed in this study. Wound images were collected and are color segmented by K-means clustering method. Then the parameters such as area, perimeter, length, and width are determined automatically by the code written using MATLAB software. Using these parameters an automatic prediction of healing time is estimated. The user had to load the image of the wound into the developed software and the prediction of healing in given terms of days. This has the potential to be developed as a mobile application so that it can be used by the health care professionals and laymen. This type of prediction reduces the anxiety of the suffering.
A Novel Electrospun PU@Cus Hybrid Nanofiber-Composite: Synthesis and Morphology Characterization
Authors: Mudhulu Sudeep , C Manjunatha , MP Sham Aan , Babu Satheesh G
Published: April 2022

Materials researchers are focused on major challenge for effective processing of nanocomposites with polymeric matrix with satisfactory dispersion of the nanometric phase, and a suitable interface between the polymer phase and the nanoparticle. Polyurthane (PU) being most commercialized polymer finding its place in various engineering application and found to be more useful in combination with inorganic nanoparticles. In this study we report the development and characterization of nano CuS embedded PU fiber composite. The PU nanofibers were electrospun by optimizing the parameters namely, applied electric potential, concentration, flowrate. Scanning electron microscope (SEM) images of PU nanofibres electrospun at 13kV, 1ml/h and 10wt% showed uniform mat having a fiber diameter of 175nm. CuS nanoparticles were synthesized by hydrothermal method employing three types of surfactants. The effect of polar and nonpolar solvent on particle size and morphology has also been investigated. Further, the CuS embedded PU/CuS nanofiber composite was developed by electrospinning.
Identification of Asymmetric DDoS Attacks at Layer 7 with Idle Hyperlink
Authors: Sood Kiran , Dev Maha , Singh Khushwant , Singh Yudhvir , Barak Dheerdhwaj
Published: April 2022

Asymmetric denial-of-service (DDoS) attacks have become very complicated to deal with because of the use of several Internet Protocol (IP) addresses in these types of attacks. The purpose of research is different strategies are used by an attacker to achieve the objective of forcing the unavailability of the targeted server. Sometimes the large size of the file is used with a higher transfer rate so that the targeted website could be hanged for a legitimate customer. The design of a novel mechanism, in the form of Dynamic Honey Link (DHL), to prevent identification by sophisticated DDoS attacking tools, the findings this developed here for the detection of asymmetric attacks. Parameters such as IP addresses, Time of Request, and difference of time between requests of IPs are used in this mechanism and are verified applying correlation coefficients and p-values. This new analysis of different website attacks using an analysis of dataset leads to inspection and identification of hyperlinks.
Laser Annealing of Gold Thin Films as a Platform for Plasmonic Sensing Applications
Authors: Thajeel Abbas A. , Ibrahem Mohammed A , Ahmed Duha S
Published: April 2022

The future of the plasmonic devices is heavily challenged by the nanoconstruction schemes of metals which often require rather fast, low-cost, and high-throughput fabrication techniques. Laser annealing is considered to be an unrivaled tool for surface manipulation of thin metallic films, especially with functional plasmonic devices of pre-determined morphology. Herein, a commercial CW CO2 laser, wavelength of 10.6 µm and optimum power of 15W, has been used for surface reconstruction of thin Au films, with an initial film thickness of 15 nm (±3 nm) sputtered on quartz substrates, as plasmonic sensing platforms. The effect of two main laser parameters on the Au film morphology have been explored namely power density and scanning speed. Thermal annealing of Au nanostructured films by the electrical furnace is also been studied. UV-Visible (UV-Vis) spectroscopy characterization measurements is utilized to monitor the the plasmonic induced optical absorption changes with different experimental conditions. Surface annealed Au nanofilms were then used as a plasmonic sensing substrate to detect the size and density variation of Ag NPs, fabricated by pulsed Nd: YAG laser ablation, ith pulse duration of 7 nsec, in DI water with a wavelength of 1064 nm and different laser energies, imbedded in a solution-processed thin dielectric material (CeO2 NPs) to form a composite film. Our plasmonic sensing structure shows a remarkable detection to variable concentrations of Ag NPs reflected by a significant red-shift in the plasmonic resonance absorption of Au nanostructures with laser ablation energy at a fixed number of pulses of 50 (1Hz).
Base-Activated Sodium Bentonite Clay: Mutated Characteristics and Industrial Slant
Authors: Kumar Awinash , Lingfa Pradip
Published: April 2022

The industry approach for natural montmorillonite clay has been reported. Modified clays have enhanced physicochemical properties with good acceptance characteristics for different types of industries, such as cement, pharmaceutical, paper, rubber, wood, and waste recycling processes. This innovative work deals with the promising behavior of mutated sodium bentonite concerning the elemental, thermal, structural, and morphological study. In this research, commercial sodium bentonite clay has been activated with 4M of sodium hydroxide. Characterization techniques of SEM/EDAX, FT-IR, XRD,TGA, and DTA/DSC have been reported to investigate mutated characteristics after the base activation. At atmospheric conditions, samples refluxed and calcined at 105ºC and 500ºC respectively for three hours. Anhydride, carboxylic acid, andalkyl halides have been removed after base treatment. The XRD data reveals that the crystallite size (average) is more than three times than the parental after mutation. The atomic and weight percentage of silicates have been improved respectively from 45.4% to 53.02% and 41.87% to 62.85%. Morphology shows an untreated sample has an unsymmetrical bed type layer that has been improved and a bunch of similar structure molecules has been found similar to the fibers. A sharp and smooth fall has been recorded due to perennial loss of hydroxyl groups and hydration water at 100ºC. The modified structure of the commercial sodium bentonite has a prominent behavior relevant to the different industrial aspects. The thermal analysis also satisfies that the different and useful micro structure is developed after base activation.
Machine Learning Techniques for True and Fake Job Posting
Authors: Mehta Kamakshi , Rajagopal Navaneetha Krishnan , Gaikwad Sagar Balu , Yadav Sachin
Published: April 2022

According to research, there are around 188 million unemployed people around the globe. We may find many job vacancies on job portals and across the internet to help the job seekers. India alone has more than a hundred job portals. One major issue people face here is that the job seekers are not sure if the employer is real or fake. Most of these portals do not have a system that could check if the employer posting a job is real or fake. Scammers are making use of this opportunity to post fake job offers which might look genuine to the job seekers applying for it. The poor job seekers might lose a large amount of money and time. A best possible solution for this problem would be that the job portal itself being able to identify if the job being posted is real or fake. Paper suggests using a machine learning model to achieve this goal. An idea here is to use natural language processing to understand and analyze the job posting and then making use of a machine learning model to predict if the job posting is real or fake. The first step is to import a dataset which has real life, real, and fake job posting. In this project, Employment Scam Aegean Dataset provided by University of Aegean Laboratory of Information and Communication system security is being used. Linear SVC is being used in this project for predicting real and fake job posting on a job portal.
State of the Art Report on Steel-Concrete Composite Columns Infilled with Self Compacting Concrete
Authors: V Ganga , S Senthil Selvan
Published: April 2022

This paper aims at presenting an extensive critical review of the steel-concrete composite column section infilled with Self Compacting Concrete (SCC). Modern construction widely uses Concrete filled Steel Tubes (CFST) a composite section that enhances the structural capacity of the section and improved stiffness. This paper outlines the research work carried out on the structural behaviour of composite columns with SCC infills of different grades subjected to various loadings and analyzed experimentally and numerically and summarized in the tabular form. In addition, design code formulae for predicting the ultimate load carrying behaviour of the CFST section also highlighted in this paper. Keywords: Composite columns, CFST, Self-compacting concrete, CCR, Slenderness ratio, Bond strength.
Perspectives for Sustainable Tourism Development: A Case of Russia’s Far East Region
Authors: Silanteva Olesia
Published: April 2022

The Russian government recently began to see sustainable tourism development as one of the possible scenarios for improving the socio-economic situation in rural and remote areas. However, currently, Russia is at the initial stages of tourism development, including the first timid steps in the legislative consolidation of sustainable tourism and ecotourism concepts. Therefore, this research aims to examine the current situation of ecotourism development in remote regions of Russia with an accent on governmental programs. The results showed that despite Russia’s tourism policy documents declaring sustainable tourism development in rural and remote regions, this industry is poorly developed. The governmental programs lack the understanding of how to achieve this goal. Ecotourism is at the very initial level of development. It is sporadic and is promoted mainly by specially protected natural areas managers and activists of non-profit organizations. Furthermore, sustainable tourism development in Russia lacks the theoretical basis, research, and expert discussion of the problems.
An Empirical Study to Measure Consumer Attitude Towards Luxury Fashion Apparels in Gujarat
Authors: Kiritinh Rathod Yuvrajsinh , Rami Dr. Ashish
Published: April 2022

The objectives are to investigate consumers' attitudes toward luxury fashion apparels brands, with a focus on Indian customers, and to choose the themes (cognitive, affective, and behavioural) from the current ones on the "attitude scale to luxury things." An empirical study was conducted among urban respondents from various social strata in Gujarat to investigate consumers' attitudes about luxury fashion apparels from an Indian context. The findings of this study offer helpful advice to luxury fashion brand managers and marketing researchers on how to develop and implement effective marketing strategies to maximize the potential of their luxury brands. Descriptive research design method used for this study. Samples were chosen for the study through non-probability convenience sampling method. Sample size is 390 individuals. Data were collected from primary and secondary sources. In study, the research, the researcher has collected primary data using survey method with reference to structured questionnaire. Data is analyzed by performing descriptive analysis, Chi-square, ANOVA, and Multiple Regression using SPSS.
Encrypt Password with Using New Key Generation Processed Random Key
Authors: Bhatt Hetal Rajendrakumar
Published: April 2022

Random password-based encryption key may be a preferred algorithm for block ciphers for imparting protection services. In this paper, we've proven the motives of the loopholes in random password-based encryption keys and additionally have supplied an answer by means of the utilization of our Symmetric Random Function Generator (SRFG). It additionally contrasts consequences with the unique random password-based encryption key-based totally upon some parameters like nonlinearity, resiliency, balancedness, and propagation characteristics. The results exhibit that our proposed model of random password-based encryption key is best in withstanding attacks.
Hybrid Multi-User Based Cloud Data Security for Medical Decision Learning Patterns
Authors: Gupta Manish , Khan Ihtiram Raza , Gomathy B , Samal Ansuman
Published: April 2022

Machine learning plays a vital role in the real-time cloud based medical computing systems. However, most of the computing servers are independent of data security and recovery scheme in multiple virtual machines due to high computing cost and time. Also these cloud based medical applications require static security parameters for cloud data security. Cloud based medical applications require multiple servers in order to store medical records or machine learning patterns for decision making. Due to high computational memory and time, these cloud systems require an efficient data security framework in order to provide strong data access control among the multiple users. In this paper, a hybrid cloud data security framework is developed to improve the data security on the large machine learning patterns in real-time cloud computing environment. This work is implemented in two phases, data replication phase and multi-user data access security phase. Initially, machine decision patterns are replicated among the multiple servers for data recovering phase. In the multi-access cloud data security framework, a hybrid multi-access key based data encryption and decryption model is implemented on the large machine learning medical patterns for data recovery and security process. Experimental results proved that the present two-phase data recovering and security framework has better computational efficiency than the conventional approaches on large medical decision patterns.
Modeling of Cascade Regulation in Psoriasis: A Comprehensive Approach
Authors: Anandaram Harishchander
Published: April 2022

The implication of a successful mathematical model in applied genomics requires mathematical modeling of regulatory cascades in a gene-regulated network in autoimmune disorders (AIDs) such as psoriasis, is a difficult job to complete in the current age of applied genomics. There were four computational approaches used to address the challenge: (a) Gene Assisted Cascade Regulation, (b) Differential Gene Expression Cascade, (c) Gene Variant Cascade, and (d) Biologic Cascade to identify a potential biomarker for treating AIDS in the future, and finally, the reconstructed network concerning activation and deactivation loops that were subjected to mathematical modeling to understand and identify the mechanism of regulatory cascade in pathogenesis.
Application of 5D Building Information Modeling for Construction Management
Authors: Gohil Pooja Prithviraj , Malek Mohammedshakil , Bachwani Dhiraj , Patel Dixit , Upadhyaya Deep , Hathiwala Alish
Published: April 2022

Smart technologies are currently trending in the Indian construction industry for management. One such technology is Building Information Modeling (BIM). This research talks about fourth and fifth dimensions of BIM and its applications. In the present study, two methods of material take-offs are compared, Manual Material Take-Offs and Digital Material Take-Offs. Here, the case study of an industrial project is considered, located in Surat City. Focus is given on three major construction materials: cement, sand, and aggregates. Manual Material Take-Off is estimated using physical plans and Excel sheets, while for Digital Material Take-Off number of software are used like Revit, Primavera, and Navisworks Manage. Based on the result, it can be judged that Digital Material Take-Off is more accurate compared to Manual Material Take-Off. In addition to this, BIM has added advantages of time and cost management, information management, faster decision making, etc.
Securing the Confidentiality and Integrity of Cloud Computing Data
Authors: Hazela Bramah , Gupta Shashi Kant , Soni Nupur , Saranya Ch Naga
Published: April 2022

Cloud Service Providers (CSPs) are becoming increasingly popular as the amount of available digital data continues to grow at an exponential rate. A new set of benefits and economies made possible by cloud technologies in terms of bandwidth, computing, storage, and transmission costs, which will all reduce the overall costs for data storage for the company, which provide customers with convenient and efficient storage services. For the protection of the Cloud Client (CC) data in the cloud, several different security models are available. In order to verify that CSPs and the CC are in compliance with these safety criteria, the Third-Party Auditor (TPA) has a responsibility to thoroughly assess evidence of compliance between the CC and the CSP. Cloud user data are vulnerable to loss of confidentiality and integrity as data are stored in off premises and maintained by CSP. As a result, in order to ensure the confidentiality and integrity of stored data, the concept of auditing has been introduced into the Cloud Computing Environment. Cloud users can seek the assistance of a TPA who has extensive experience in conducting cloud audits in order to assess the risk associated with their services.
Dynamic Wireless Charging for Inductive Power Transfer Systems in Electric Vehicles
Authors: M Ponmani Raja , Chandran Karthik , N Jeyakkannan , Paul John , Jaison Jibin
Published: April 2022

The charging plate creates magnetic fluxing. The charging plate and the adjacent coil can induce current without any contact. By the new trends, wireless charging got more social attention to the outside world as an alternative method for primitive wired charging. Even though wireless charging was implemented to various electronics industries, it is still proven that wired charging is faster than the wireless. But can make the gadget hot, which may not be good for the battery efficiency. The wireless charging does not degrade the battery. A vehicle that is powered by an electric motor rather than a typical petrol or diesel engine is referred to as an electric vehicle. The electric motor is powered by rechargeable batteries. In this article, the dynamic wireless charging of electric vehicles introduces a new methodology of charging even when the vehicle is in motion. The dynamic wireless charging is proposed to allow power transfer to the electric vehicles when they are in motion. Multiple inductive pads should be buried under the roadways. The inductive pads should be energized by a power supply. The track which is dedicated for the wireless charging should have enough distance so that the vehicles can charge up to a stable value until they leave the charging track. This proposed methodology reduces unnecessary time wastage for charging of vehicles. Hardware results obtained the primary pads mounted on road and power supply for primary roads. Besides, it will flow the efficient inductive power transfer and time saving opportunity.
Examining the Role of Enterprise Resource Planning (ERP) in Improving Business Operations in Companies
Authors: Pandey Ashish Kumar , Singh Raghvendra Kumar , Jayesh G. S. , Khare Neha , Gupta Shashi Kant
Published: April 2022

The aim of this research is to identify how ERP system can effectively improvise business operations of business organizations. Besides, this research will also identify issues and challenges regarding implementation of ERP system and will provide recommendation (strategies) to deal with those issues. The objectives are as follows, by which the business operations improvised with respect to organization or company: To share knowledge about the ERP system and its concept including its usages, to identify impact of ERP system on different operations of business organizations, to analyze risks and challenges of implementing ERP system in business organizations, and to recommend strategies to successfully implement ERP system in a workplace.