bluuebunny/crossref_metadata_2025 huggingface dataset:
Public Private Partnership Model in Healthcare Sector: Is it a Sustainable Approach?
Authors: Khan Shirin , Mathur Neha , Jauhari Sangeeta
Published: April 2022

Healthcare in India majorly involves private sector participation. Private hospitals dominate the public hospitals in terms of medical education, training, technology, diagnostics, infrastructure, finances, management, and accessibility to pharmaceuticals. The present study is an attempt to assess the perception of individuals towards the PPP model in the health sector. The study is a small attempt to cover the various facets of public private partnership model in the health sector and how an individual perceives it. The study is limited to Madhya Pradesh. The research is empirical in nature and is based on both primary and secondary data. The primary data has been gathered from 400 respondents belonging to the Madhya Pradesh district with the help of a questionnaire only. To analyze the data descriptive and inferential statistics has been used. The research reveals that the respondents covered in the study feels that the PPP model will lead to the sustainable development in the healthcare sector. The literature gathered from the study indicates that the Public-Private Partnership model in the healthcare sector focusing on both short and long-term proposals will homogenize strategic objective, which is helpful in mobilizing both public and private resources to combat.
A Facile Green Synthesis and Optical Characterization of Nano Zinc Aluminate Phosphor
Authors: Bansal Vikas , Lahariya Vikas , Yadav Rajnee , Khare Ayush
Published: April 2022

This study presents a facile green synthesis of zinc aluminate nanophosphor by the microwave combustion method. Natural Piper nigrum seeds extract was used as a combustion agent. To study the effect of annealing temperature on structural, compositional, and optical properties of nano zinc aluminate, as-synthesized sample was further annealed at temperatures 700⁰C and 900⁰C. The structural and optical characterizations were carried out using XRD, UV-Vis DRS, FTIR, and PL spectroscopy. The XRD and FTIR confirmed the formation of nano zinc aluminate. The calculated average crystallite sizes were between 5-20 nm. The effective energy bandgap of prepared nano zinc aluminate was found to be 4.48 eV, larger than the bulk bandgap of zinc aluminate. Further, the effective band gap was increased with higher annealing temperatures. The PL spectra exhibited intense emission in the UV and blue region with weak emission in the red region.
Gene Therapy for Repair and Proliferation of Human Dental Pulp Stem Cells – An In-Vitro Study
Authors: Nandawadagi Swathi L , Narayana Indiresha H , Shetty Ashmitha Kishan
Published: April 2022

Regulatory cellular process of mesenchymal stem cell remains to be explicated in diseased condition. On the other hand, platelet-derived growth factors (PDGFs) are known to shape the migratory movements of the mesenchymal cells during stressful conditions. The objective of the current study is to understand the role of Recombinant Platelet-Derived Growth Factors-BB (rhPDGF-BB) towards proliferation and migration of Human Dental Pulp Stem Cells (hDPSC). The cytotoxicity of rhPDGF-BB was assessed at various doses and its chemotactic response was measured by experimental wound scratch test. The recombinant protein did not show cytotoxicity at higher doses. It was found that rhPDGF-BB is a strong inducer of indiscriminate as well as directional migration of hDPSCs that persisted upon 24hrs. Thus, the experiment demonstrates critical use of rhPDGF-BB in regenerative process during dental pulp stem injury.
An Empirical Study on Competencies Required for a Sustainable Educational Research
Authors: Priya A Shakti , Sujatha S
Published: April 2022

Education is the key source to boost the competencies required by a person to sustain and excel in life. Competencies play a key role in the education sector. There is a growing interest in competency-based approaches in sustainability practices. This paper discusses various competencies required by a researcher for sustainable educational research. The responses are collected from the universities in the Vellore district, India. The sample size is 160. Once confirmed with normality, reliability, and validity, exploratory factor analysis and structural equation modeling are conducted. The results established an absolute model fit. The findings state that academic competencies play a major role in enhancing research competencies than personal effectiveness competencies. It is crucial to flourishing in academic competencies as a priority. Future direction has also been stated to evolve sustainable research practices.
Optimization of Laser Beam Cutting Machining Parameters Using ANOVA and Regression Models
Authors: Prakash R , Sridevi K , Bellad Sunil
Published: April 2022

The laser beam cutting machining (LBM) process is most extensively used for the making of reliable and complex geometrical shapes on various metals like ceramics, plastic, ferrous, stones, and non-ferrous components. The parameters like cutting speed, laser power, gas power, pulse energy, temperature line spacing, scanning speed, etc., will affect the process. Also, the three levels for each parameter are to be considered to get optimum parameters for the machining process. Using analysis of variance (ANOVA) and regression in Minitab, the percentage of the effect of parameters by considering cutting speed, laser power, and gas power. The results of the main effect and optimization plots show that cutting speed plays a vital role in detecting the roughness of the surface. The most noteworthy parameters like cutting speed and laser power affect the roughness of the surface majorly compared to gas pressure. The optimal parameters and levels are determined using Taguchi methods.
Study on Refined Coconut Oil As Transformer Liquid Insulation
Authors: C Suresha , Nandi Halli Dr. Rudranna , Ahmed Khan Faheem
Published: April 2022

The mineral oil has the disadvantage of its relatively low flashpoint. The transformers used inside buildings have a less-flammable liquid. Mineral oil is also a pollutant to the environment, and its insulating properties deteriorate quickly. As an alternative, the researchers examined the suitability of Coconut oil. In this research work, different laboratory tests were carried out to ascertain the suitability of refined coconut oil in replacing mineral transformer oil used for insulation and cooling purposes. For laboratory studies seven oil samples were prepared. Each sample containing 500 ml of refined coconut oil, 100 grams of paper insulated copper strips, varied quantity (in ppm) of passivator Di-tert-butyl-p-cresol (DBPC). Oil samples were processed through nitrogen bubbling for degasification of dissolved oxygen in oil. It is seen from the studies conducted that the refined coconut oil with additives provides better electrical properties. Dissipation factor and leakage current were found to have decreased. Results show that DBPC and Irgamet-39 play a crucial role in effectively preventing oil sludge formation and deterioration. It has also been found that 500 ppm of Irgamet-39 has the most optimum effect in prolonging the life of the liquid insulation.
Design and Geometrical Optimization of Nozzle to Reduce Noise for Jet Engine
Authors: Bezuayehu Liya , Kuppusamy Ashok , Abdulwase Meki
Published: April 2022

A scientific payload is used for deep space observations. It consists of several components, which are used to observe and detect the objects and its details. Such payloads are used to collect data for tin-filer research and understanding about the universe and to know its hidden mysteries. This research is conducted using several observatory instruments like, X-ray spectroscope, hyper spectral image camera, laser ranging instruments, etc. In this project. a mechanical configuration of X-ray spectroscope is designed considering all the design parameters and constraints. Boeing recently tested a scaled variable area jet nozzle capable of a 20% area change Shape Memory Alloy actuators were used to position 12 interlocking panels at the nozzle exit. A closed loop control system was used to maintain a range of constant diameters with varying flow conditions and to vary the diameter under constant flow conditions. Acoustic data by sideline microphones and flow field measurements at several cross-sections using PIV was collected at each condition. In this paper the variable area nozzle's design is described. The effect of the nozzle's diameter on acoustic performance is presented flow field data is shown including the effects of the joints between the interlocking panels.
Analysis of Accuracy in Heart Disease Diagnosis System Using Decision Tree Classifier Over Logistic Regression Based on Recursive Feature Selection
Authors: G. Girish Kumar
Published: April 2022

The aim of the research paper is to find the accuracy in a better way using Decision Tree compared with Logistic Regression by using Recursive Feature Elimination Technique. Materials and Methods: In this study, there are two groups, namely Decision Tree and Logistic Regression. Accuracy was computed for the dataset with sample size of 40. The innovative method used is Recursive Feature Elimination. It is used to find the subset of features which gives more accuracy. Result: It was observed that the Decision Tree algorithm obtains accuracy of 85.5% and Logistic Regression with 83.4% of accuracy. Decision Tree appears to have better significance than Logistic Regression technique with the value of p<0.05. The significant value obtained from statistical analysis is 0.01. Conclusion: The result proves that Decision Tree classifier shows better accuracy than Logistic Regression classifier based on Recursive Feature Selection.
Computer Aided Drug Design, 3D Printing, and Virtual Screening: Recent Advancement and Applications in the Pharma Field
Authors: Sharma Navjot , Bora Kundan Singh
Published: April 2022

Drug discovery in pharmaceutical research is a very time taking process. It takes around about 10 to 14 years reached to clinical trial. Chances of discovery of novel molecule reached to clinical trial are very less. Also, it takes billion of investment. Biomedical engineering with new technologies is the answer to these problems. The purpose of this review is to focus on the applications of new technologies like computer-aided drug design, virtual screening, molecular docking, 3D printing, etc. in the field of pharmaceutical research, drug delivery system, and drug discovery. So it is very important for all the researchers and pharmacy departments to be aware of the benefits or applications of these modern technologies. These modern technologies are very useful for pharmaceutical research including pharmacokinetics or pharmacodynamics modeling, optimization of the drug dosage form, and drug delivery system. The current progress of docking-based virtual screening leads to finding out the new target molecule and designing the molecule by using computer-aided drug design and ultimately manufacturing or customization of the dosage form by using 3D printing may finally lead to the become a reality.
Comparison of Feature Extraction Technique for Segmentation in Human Iris Recognition Under Uncontrolled Environment Using CNN Algorithm with SVM Classifier
Authors: B Karthik , G Ramkumar
Published: April 2022

The main aim of this study is to compare the radical segmentation of human iris using two different machine learning algorithms in an uncontrolled environment image dataset. Materials and method: Images taken from MMU iris dataset, Convolutional Neural Network (CNN) model, and Support Vector Machine (SVM) model implemented to segment iris in uncontrolled environment image with 50 samples per group. Results: MATLAB simulation result shows that CNN has accuracy of 94% and SVM has 72% in segmenting iris. Attained significant accuracy (0.001) in SPSS statistical analysis. Conclusion: For the given images, proposed CNN shows better accuracy than SVM classifier in iris segmentation tasks.
Nature’s Lament: A Comparative Psychoanalytical Reading of Childhood Trauma in Select War Narratives
Authors: Jansy Elizabath , Jansy Elizabath
Published: April 2022

Sustainable development has become an inevitable need of the hour. This paper problematizes the trauma of children as represented in the narratives Beasts of No Nation by Uzodinma Iweala and A Long Way Gone by Ishmael Beah. The incomprehensibility of trauma, its varied representation in fiction, dissociation of child psyche, and its detrimental effect on children is substantiated using psychoanalytic theory of trauma proposed by Cathy Caruth and contemporary trauma theorists. The paper argues the atrocities children are forced to be involved into causes profound trauma in themselves leading to encumbering of sustainable developmental goals. A comparative study of interpretive textual analysis is employed to study the havoc the society endears as a result of war that wrecks the child, hindering the overall sustainable development. As it voices out the voiceless trauma of children, the paper also aims in divulging the decisive influence of the select literary narratives in sensitizing the society in achieving societal as well as environmental sustainability.
Investigation on Thermal Analysis of Spacecraft Radiators
Authors: Sravan Venapusa , Srivastava Himani , Jitendra Pandey DHANRAJ , Prabu S. Senthur
Published: April 2022

In this research, the main objective is to compare the thermal properties of the rectangular and honeycomb structured space radiators used in spacecraft. The comparison of radiators was done by conducting steady state thermal analysis on these radiators by applying varying heat loads over it to analyse the thermal properties acting over them. The selection of appropriate material for the radiators was based on tensile strength, resistance to high temperature, and the type of working fluid considered. From the simulation results, the honeycomb structures of spacecraft radiator could withstand to a higher temperature gradient, and the rate of heat dissipation was much higher in comparison with rectangular fin type radiator, and hence it can be considered as a great replacement in near future.
Atomizing E- Government Facilities Using Big Data Analytic
Authors: Sarker Ronobir , Kanimozhi K.V. , Nagappan G. , Mahesh P. C. Senthil , Priya R. , Vidhya M.
Published: April 2022

During the last two decades, technical advancements in data bases and query processing have replaced hard copy maintenance in government sectors, resulting in an increase in the use of software applications to simplify human tasks in a matter of seconds. Any official task that has to be more efficient requires improvement and quick access. Collecting demographic information is also a major concern for government authorities. This article offers a method for gathering people's data and organizing it as a hierarchy using a tree structure, which may be used to produce unique data and reduce redundant data. The Hadoop Map Reduction function can be used to complete this expected task.
A Smart Two–Wheeler Helmet with Sensors
Authors: Shivaru Chinmai S , Bharath Deeksha , R Chandrakumar , Sridhar R
Published: April 2022

Amongst motorcyclists, studies suggest that the use of helmets reduces the risk of fatal injuries by 42% and head injuries by 69%. Ensuring the use of helmets in such scenarios is essential. There have been studies on the use of sensor-based helmets for safety (1). However, efforts on foolproofing the use of helmets are scarce. Hence, a force-sensitive resistor-based mechanism is proposed in this research to ensure that the user wears a helmet while riding.
Overview Of Schizophrenia: A Review Article
Authors: Srivastav Tanisha , Kapse Ankita , Kalambe Minal , Deshpande Sanjay
Published: April 2022

Schizophrenia is a chronic brain condition that affects roughly 1% of the world's population and causes delusions, hallucinations, disorganized speech, mental difficulties, and a lack of motivation while it is active. Despite the fact that treatment, especially drug therapy, has been widely used for nearly a century, there is no evidence that it has improved the majority of people with schizophrenia. Current adverse effects may be better if we view schizophrenia as a developmental disorder with psychosis as a stage of delayed illness. This ‘rethinking’ of schizophrenia as a neurodevelopment disorder, very different from the way we thought about illness in the last century, has great potential for prevention and treatment over the next two decades. Conclusion: Most people with schizophrenia benefit from a combination of antimicrobials and non-pharmacologic treatments designed for their specific needs. The provision of low-dose antipsychotic drugs, monitoring and resolving side effects, and providing clozapine if patients continue to have psychiatric symptoms are the norm for medical treatment. Several promising ways to improve outcomes in schizophrenia are being investigated, including glutamate-N-methyld-aspartate (NMDA) cascade drugs, which can help patients with chronic disease reduce persistent psychiatric symptoms, symptoms, and dementia.
Cerebral Venous Thrombosis (CVT)
Authors: Waghmare Akash , Luharia Anurag , Tiwaskar Suhas
Published: April 2022

Altered mental status, which affects four to ten percent of emergency hospital patients, is a common symptom. Without a lot of information from the lab, radiography, and physical exam, determining the aetiology could be challenging. The provider's clinical judgement is used to guide the diagnosis procedure based on the available history. As a result, if a reasonable suspicion is not present when examining alternative reasons, less common diagnosis may be overlooked or delayed. CVST (cerebral venous sinus thrombosis) is an uncommon and poorly understood condition with a high rate of morbidity and mortality. Summary: CVST is a rare yet life-threatening condition that strikes teenagers and young adults. Its natural manifestations might range from mild to spectacular and deep. However, if detected early enough, adequate therapy can often lead to total recovery. Magnetic Resonance Imaging Venography (MRV) is the current gold standard for diagnosing CVST, while Computed Tomography Venography (CTV) has been demonstrated to be almost as good in detecting CVST. When MRV is not easily available, this is critical because it speeds up the virus's disposition and the initiation of anticoagulant medication.
Thermally Stable Copolymers with Pendant “N-Arylimide” Groups Via Reversible Deactivation Radical Polymerization Technique
Authors: Deoghare Chetana Anand
Published: April 2022

This paper reports the synthesis of copolymers of N-arylitaconimides (NAI) and methyl methacrylate (MMA) with random architecture via activator generated electron transfer atom transfer radical polymerization (AGET-ATRP) method, resulting in N-arylimide as pendant group.The AGET-ATRP is a versatile and famous reversible deactivation radical polymerization technique used to synthesize the well defined polymers. The structural characterizations of obtained copolymers were done using FT-IR, 1H-NMR spectroscopy and elemental analysis. The molecular weights of copolymers were in the range 8,000-20,000 g/ mol with a narrow polydispersity index i.e. 1.2-1.3. Thermal characterization of Poly(NAI-ran-MMA) copolymers were done using differential scanning calorimetry (DSC) and thermogravimetric analysis (TG/ DTG). DSC scans show 60-117% enhancements in the glass transition temperature (Tg), as compared to Poly(methyl methacrylate). The rate of copolymerization, molecular weight and Tg were observed to increase with increase in electron releasing nature of the substituent on aromatic ring of the pendant group.
A Comparative Analysis of Structural, Optical and Electrical Properties of Polyaniline/Ferrite (Co, Ni, Cu, Zn) Composite
Authors: Sehrawat Swati , Saini Monika , Bhankhar Anupama , Shukla Rajni
Published: April 2022

In this study, PANI, PANI/MFe2O4 (M = Co, Ni, Cu, and Zn) composites were studied. Polyaniline and their composites with ferrites were prepared via chemical oxidation method. Ferrites were synthesized through co-precipitation method. Structural properties were investigated using X-Ray diffraction spectroscopy (XRD) and Fourier Transform Infrared spectroscopy (FTIR) respectively. Pure ferrites were found to be of crystalline nature, whereas composites are found to be semi crystalline in nature. Scanning electron microscope (SEM) analysis confirmed the formation of all the synthesized composites. The optical band gap of composites is reducing as compared to Pure PANI (1.7 eV), which is in agreement with already reported work. The inclusions of ferrites particles have caused an enhancement in electrical conductivity of pure PANI. Conduction mechanism observed from Nyquist plots of composites is found to involve both grain as well as grain boundaries. The transition metal spinel ferrites have enhanced the optical and electric properties of PANI to a great extent, making them promising materials for different applications.
Heart Stroke Detection Using KNN Algorithm
Authors: Kandukuri Kumar , Sandhya A
Published: April 2022

Diagnosis of heart diseases have been improved in recent days with the help of machine learning (ML). The early prediction of heart disease is possible by analyzing the important parameters with the help of data mining techniques. In this study, K-Nearest Neighborhood (KNN) is used for the classification of heart stroke with parameter weighting methods to improve accuracy and 11 parameters were identified for training the KNN algorithm. The result shows that the accuracy using the KNN algorithm (11 parameters) is more efficient to predict the early heart stroke detection. This proposed algorithm accuracy is found to be better than the existing algorithms like Random Forest and Decision Tree and has an accuracy of average of 91.4%.
Identification of Drunk People Among Crowds Using Thermography and Machine Learning
Authors: Rajagopal Sivakumar , Balaji Deepikaa , Venkatesh Vidhyalakshmi , S Kanishka , Soangra Rahul
Published: April 2022

This paper attempts to present a novel and safe, non-contact method to classify drunk and sober people, unlike the conventional techniques. For example, using a Breathalyzer can increase the chances of infection. The image classification is programmed based on two differently trained machine learning models, whose results are compared and their accuracy predicted. Using thermal IR images helps identify the thermal behaviour of the facial features, mainly around the eyes, which, according to studies, widely increases when intoxicated with alcohol.
Wireless Power Transfer For Electric Vehicle
Authors: Ponnalagarsamy Sivagami , R Harikrishnan , M Pushpavalli , P Abirami
Published: April 2022

In this technical era some of the reasons which made the researchers to look out for the replacement of Internal Combustion Engine (ICE) are shortage of fossil-fuels, global warming due to emission of green house gases caused by petroleum, gasoline technologies. Electric Vehicles-EVs are substantial alternative for ICE. Electric vehicle on the road can save about an average of 1.5 million of grams of carbon monoxide. Thus, EVs become an enticing solution as it improves the health of the residents, quality of life and air. EVs driven by electric energy depends on the energy stored in the battery. The infrastructure for battery charging may be wired or wireless power transmission. EV is limited by the distance it can travel. In order to overcome the range anxiety, it is necessary to propose a Wireless Power Transfer (WPT)-a technology capable of making the charging mechanism automated This, wireless charging process is more convenient because of absence of wires and is more flexible and reduces the human intervention. This paper discusses about the WPT mechanisms integrated with IoT- Internet of Things to make aware of the user whether the charging carried out by the receiver coil or not, charging level of the battery and the distance it can travel with the available charging level. The converter topology for boosting the rectified voltage during power transmission for EVs is also discussed.
Urban Green Spaces For Promoting Healthy Living And Wellbeing: Prospects For Housing
Authors: Kumar Deepak , Shukla Bulbul
Published: April 2022

Urban Green spaces in cities protect the environment by reducing urban heat stress, reducing global warming potential gases, and reducing storm water runoff. The high rate of urbanisation, which has resulted in encroachment, use change, and other factors that have a negative impact on healthy living and wellbeing. The main objectives of this research are to study and select different typology for the study of urban green spaces and also analyse the major link between the urban green spaces which are impacting the healthy living of housing typology. We used peer-reviewed approaches, which included searching the Web of Science, Scopus Index, and PubMed databases for literature research, and then reviewing peer-reviewed publications. The findings imply that urban green spaces are important for city dwellers. Because it ties greater and more regular usage of green space to healthy living, good quality green space, and well-being, the study has social consequences.
An Experimental Analysis of Degradation of Cellulosic Insulating Material Immersed in Natural Ester Oil for Transformer
Authors: CH Hussaian Basha , Mariprasath T. , Kiran Shaik Rafi , Murali M.
Published: April 2022

The physical, chemical and electrical prosperities of MO is matched as an insulating material for transformer. Therefore, it can be used in transformers. Whereas, the MO is extracted from the fossil fuels. Due to vast consumption of fossil fuels, the accessibility of vestige fuel is going to run out near future. In addition, the MO (MO) is doesn’t meet the new environmental regulation due to it has less biodegradable. Therefore, this research proposed a new ecological friendly insulating oil for transformer which is renewable that of petroleum based insulating oil such as MO. Initially, a critical review has been made on recent development on alternate liquid dielectrics for transformer. Subsequently, critical characteristics of insulating oil have been measured according to the standard. Added to that, the critical characteristics of Natural Ester Oil (NEO) are estimated at diverse temperatures from 50°C, 70°C, 90°C, 110°C, 130°C, and 150°C respectively.
Sustainability Attributes of Transformation in Vernacular Architecture of Chhattisgarh
Authors: Jagatramka Richa , Kumar Ashwani , Pipralia Satish
Published: April 2022

Sustainability is an integration of environmental, social, and economic issues, leading to improving the quality of life. The recent transformations in vernacular architecture are leading to a loss in indigenous knowledge, disconnecting the past from the present. The paper discusses the present sustainability attributes of transformation in vernacular architecture. The main objective of the research is to identify the sustainability attributes of the built environment in villages of Chhattisgarh. The study is based on three major parameters of environmental, social and economic sustainability. The sub parameters or indicators in environmental sustainability are site selection and development, water efficiency, energy efficiency, material efficiency, and indoor environment. Systematic observation survey is used to analyse and document the attributes of sustainability. The study also elaborates the difference in the sustainability of residence in the villages to identify the difference between the sustainability of buildings in vernacular architecture and under transformation. The study paves way for the future where the use sustainability of the built environment is essential to understand the needs of tomorrow.
An MOORA and WASPAS Methods Application for Optimal Material Selection from Aluminum Graphene Nano Platelets Composites
Authors: Palampalle Bhanu Prakash , Ravikanth D. , Rajesh D. Merwin , Devika B. , Babu D.
Published: April 2022

Improved features include a high strength-to-weight ratio and good wear resistance, and so on, aluminium MMCs are favoured over other traditional materials in aerospace, automotive, and marine applications. Mechanical, electrical, electronic, and thermal properties of graphene make it an excellent metal composite reinforcement material. Stir casting, powder metallurgy, and other techniques were used to strengthen pure aluminium Graphene nano-platelets in a base matrix (pure Al) with various weight percentages to form aluminium metal matrix composites. The mechanical properties of the aluminium matrix are greatly improved by the uniform distribution of Graphene Nano platelets .
Applications of Speech Recognition in the Agriculture Sector: A Review
Authors: Swetha Polisetty , Srilatha Jenega
Published: April 2022

From ancient time, agriculture is the main occupation of human being. Generally, farmers lack scientific knowledge about crop diseases and how to treat them. Farmers will not show interest to search any kind of crop information in any website or will not visit government authorized agro information center for their doubts in agriculture. They also have the difficulty in understanding the language and even to type it. Due to all these problems faced by farmers, any application based on voice interaction gained more importance now days. Many government and private mobile applications were introduced for the farmers to get answers to their doubts from experts through voice-based interaction. Natural language processing evolved as a result of people's need and desire to communicate with technology. As extensive progress is being made in this area, most portable and digital devices, such as keyboards etc., are expected to be replaced by voice interaction technologies. In this way, voice-based interaction applications will be a great benefit to the uneducated farmers in our country. This paper explores the applications of speech recognition in agriculture sector.
Power Rail ESD Protection Design Methodology Using Voltage-Gain Inverter Based Feedback Technology
Authors: Unnikrishnan Kavita , Srinivasulu Avireni , Musala Surada
Published: April 2022

In power rail, electrostatic discharge (ESD) is one of the assured issues to be faced. This paper intended to have a voltage gain inverter-based response technology for power rail ESD protection. This paper proposes a power MOSFET to discharge ESD current with 10 ns RC time constant for triggering and transmission gate based clamp is to keep it on until ESD event, which is 28% more efficient than the conventional clamp. The proposed clamp can endure 4500V of HBM (Human Body Model) pulse and also suitable for Charged-Device Model (CDM) protection. Here, LTspice software is used to check out the ESD performance of the transmission gate-based clamp.
Structure and Dielectric Studies of Lanthanum Oxide Activated Niobium-Barium Titanate for Energy Storage Applications
Authors: Nirlakalla Ravi , Ravanamma R. , Reddy K. Muralidhara , Suvarna R. Padma
Published: April 2022

A 10 mol% of La2O3 doped niobium-barium titanate (60-y) BaO –(40-x) TiO2 – y Nb2O5 – La2O3x (BTNb10La10) (where x = y = 10), BTNb10 and BTLa10 ferroelectric ceramics were prepared by solid state reaction, those are sintered at temperatures 1000 oC for 8 h and calcined at 1250 oC for 6 h to investigate various properties such as structure, morphology and dielectric that include electric hysteresis. Different phases of the BTNb10La10 ceramics were revealed and identified in XRD profile. La–O bending vibration band was identified at 541 cm-1 in the FTIR spectra of BTNb10La10 samples. A broad phonon vibrational Raman band was identified at 770 cm-1of BTNb10La10 ceramics due to the presence of La2O3. 132, 143 and 148 nm are the average particle sizes revealed in scanning electron microscope (SEM) for BTNb10, BTLa10 and BTNb10La10ferroelectrics, respectively. The recoverable energy storage density (Wrec) of the BTNb10La10 ferroelectric is found to be Wrec = 0.3370 J/cm3 with an energy storage efficiency of η = 94%. The slim and antiferroelectric features of electric hysteresis indicates that the BTNb10La10 ferroelectric could be a potential candidate for energy storage pulsed capacitor applications.
Digital Forensics Investigation for Attacks on Artificial Intelligence
Authors: Manasa Sanyasi , Pradeep Kumar Kukatlapalli
Published: April 2022

The new research approaches are needed to be adopted to deal with security threats in Artificial Intelligence (AI)-based systems. This research is aimed at investigating the AI attacks that are “malicious by design.” It also deals with conceptualization of the problem and strategies for attacks on AI using digital forensic tools. A specific class of problems in adversarial attacks are tampering of images for computational processing in applications of digital photography, computer vision, pattern recognition (facial capping algorithms). State-of-the-art developments in forensics, such as 1. Application of end-to-end Neural Network training pipeline for image rendering and provenance analysis. 2. Deep fake image analysis using frequency methods, wavelet analysis, and tools like Amped Authenticate. 3. Capsule networks for detecting forged images. 4. Information transformation for feature extraction via image forensic tools, such as EXIF-SC, Splice Radar, and Noiseprint. 5. Application of generative adversarial networks (GAN) based models as anti-image forensics [8], will be studied in great detail and a new research approach will be designed incorporating these advancements for utility of digital forensics.
Evolution Of Bi2Te3 Nanoflowers Through Imperfect Orient Attachment Growth
Authors: P Shyni , P P Pradyumnan
Published: April 2022

In this work, Bi2Te3 nanoflowers were successfully synthesized through hydrothermal method. The effect of reaction time on crystal growth and the morphological evolution of these nanoflowers were studied in detail. The obtained nanopowders were characterized by employing XRD, FESEM, EDAX, HRTEM, and Raman studies. The XRD results shows that rhombohedral Bi2Te3 is obtained, without any impurities, at a reaction time of 8, 24, and 36 hours. But along with Bi2Te3, elemental Te is obtained at a reaction time of 4 hours. A growth mechanism for the evolution of nanoflowers from primary nanoplates is proposed, based on the experimental results. The HRTEM images shows that an imperfect orient attachment of primary nano plates leads to the twisting and bending of nanoplates, resulting in well-formed nanoflowers. Lattice imperfections, including twinning boundaries, incoherent boundaries, and stacking faults, will reduce thermal conductivity and improve thermoelectric conversion efficiency of the material.
Recent Advances In Template Assisted Growth Engineering of Inorganic Nanocrystals
Authors: Dubey Prachi , Pathan Suhana , Pusplata Pusplata , Tadge Prachi , Ray Sudeshna
Published: April 2022

Nanoparticles (NPs) of controlled size, shape, and composition have attracted significant attention due to their applicability in a future generation device. The interaction of particles with interfaces varies with the change in their morphology. The anisotropic nanostructures are of considerable attention for scientific and technological application as they are expected to exhibit substantial advantages over their isotropic counterparts in several fields, such as enhanced energy harvesting, improved charge transport properties, nonlinear optical responses, enhanced optical gain, and polarized light absorption and emission. It is noteworthy to mention that the crystallization from a solution governs the growth process which subsequently determines the shape of the particle. Several competing factors, such as preferential attachment to different crystal facets, surfactant-mediated directional growth, and the utilization of surface coordinating ligands, induce the morphologies of anisotropic particles. A number of fascinating anisotropic nanostructures, including nanorods, wires, tetrapods, multipods, dumbbells, and platelets, have been synthesized employing solution chemistry. However, still there is a quest of low cost and easily scalable synthesis strategies to systematically develop size and shape modulated nanoparticles. In this review, the state-of-the-art in the area of the synthesis techniques for the exploration of size and shape control of a variety of inorganic nanomaterials is overviewed. The crystal growth mechanisms both intrinsically and in the presence of templates are discussed. Finally, we conclude with the recent development in the research progress in this topic as well as our perspectives on the challenges and opportunities.
Novel Approach to Define Road Widths in Residential Areas
Authors: Prasad Raunak , Sharma Manish , Verma Abhas
Published: April 2022

Mobility is one of the most inherent characteristics of human living. But with increasing population and ever increasing need to commute, the proportion of vehicles plying on roads is repeatedly challenging the capacity of the roads to sustain efficient traffic flow. The paper discusses a novel approach to define road widths to sustain the traffic speeds, with an example of residential areas in Jaipur city of India. The study involves a survey based methodology to assess the existing condition of roads in case study area, highlighting the issues responsible for a reduced carrying capacity, namely extension of ramps outside the plot line reducing carriage widths, car-ownership beyond the parking provisions in the plot, etc. Based on this, some recommendations based on the minimum road widths supporting residential areas and policy based provisions are suggested which are expected to reduce the existing traffic woes.
Improving Trust Levels in Wireless Networks Using Blockchain Powered Dempster Shaffer Route Optimization
Authors: Choudhary Ashutosh Kumar , Rahamatkar Surendra
Published: April 2022

Improved node and network trust levels in wireless networks assist the network to have better security and quality of service (QoS) performance. Security performance is measured in terms of number of attacks detected and mitigated by the network, while QoS performance is measured in terms of end-to-end delay, communication throughput, energy requirement, and packet delivery ratio metrics. In order have good trust levels in the network, a wide variety of methods, including reputation evaluation, historical analysis, temporal network, and node analysis, are proposed by network researchers. Implementation of these algorithms increases computational complexity of the network, thereby increasing end-to-end delay during communication. During routing, repeated calculations of trust in the network further increases number of computational steps required for route selection. These added calculations improve network security but reduce overall QoS at node and network level. Moreover, if these calculations are simplified for reducing computational complexity, then QoS improves but network security is compromised. In order to maintain a high network QoS with sufficient level of security, this paper proposes a novel blockchain powered routing model that uses Dempster Shaffer (DS) route optimization. The model utilizes node-to-node distance, energy efficacy, and temporal packet forwarding capabilities in order to select the most efficient routing strategy. This strategy is combined with a proof-of-work (PoW) based blockchain solution that allows the network to have high trust levels. Due to decentralized processing, the network is able to have good QoS levels along with high security.
COVID-19 Lockdown Concerned with Economy, Mental, and Environmental Health: Indian Scenario
Authors: Patel Jeel , Patel Dhara , Patel Nirmal , Patel Rushika
Published: April 2022

India is suffering from an outbreak of COVID-19. Lockdown rules were enacted, but they were also a significant threat to the economy, mental and environmental health. Continual depreciation is occurring in the Indian rupee. The tourism, aviation, oil, capital, and retail markets were seriously affected. Whereas, a unique opportunity has also been offered to India as multinational companies are losing trust with China. COVID-19 has also caused a severe threat to people's physical and mental health. World Health Organization also implemented compulsion of mask wearing and awareness in local communities. The efforts to combat Coronavirus output a tremendous amount of masks, gloves, and personal protective equipment kit waste. After the declaration of the lockdown, the quality of air and water has started to improve and wildlife has sprung back. But all these positive impacts were temporary. Implementation of proper strategies has the potential to deal with all three aspects.
Development and Analysis of Two Quarter Wavelength Patch Antennas
Authors: Kurup Hrudya B , Remsha M , Antony Divya , Rodrigues Stephen
Published: April 2022

Development of small integrated antennas has played a crucial role in the current rapid progress of commercial wireless communication technology. Incorporating different radio standards, which supports various voice and data applications to a single wireless hand-held device, has now become the need of the hour. Quarter wavelength patch antennas are low profile antennas suitable for such applications. In this paper, two single-feed triple-band quarter wavelength antennas, PIFA and shorted patch antenna, having multi-band capability, are experimentally investigated and characterized. Different specifications of both the antennas are software simulated and experimentally tested. All simulations are performed using CST microwave studio.
Impact of COVID-19: Role of Strategic E-Learning System
Authors: Dhamore V. G. , Bhandari J. B. , Adsule P. S.
Published: April 2022

This paper aimed at investigating factors about interrelationship between E-Learning Orientation, E-Learning Implementation, E-Learning Perception, and E-Learning Satisfaction. The information of the study was gathered from 330 students of large university affiliated institutes. Judgment or purposive sampling is used for selection of respondents. The outcome of study showed relationship of all variables for a proposed model. All the constructs are correlated with each other. E-Learning Orientation, E-Learning Implementation, and E-Learning Perception are having positive relationship on E-Learning Satisfaction. The output of this study can be utilized to improve E-Learning environment system in better ways. Variables used in this study are taken for the first time for such type of research work. The work also intended to participate in current literature about E-Learning Orientation, E-Learning Implementation, E-Learning Perception, and E-Learning Satisfaction.
A Comparative Analysis on Offline Signature Recognition System Using Deep Convolutional Neural Network
Authors: Moud Deepak
Published: April 2022

The aim of signature recognition is to recognize name of author of the signature. It is a difficult work because scanned images are used for signature recognition. Identifying signatory is behavioral biometrics and has lot of potential of research in this area. There is a scope of accuracy improvement because of high variations of signature of same user. This paper investigates how can best feature extracted for signature recognition. In this research, pre-trained CNNs were used to fetch features and then fetched features were entered into machine learning algorithm, such as Random Forest, KNN, NN, and Decision Tree. This research is a comparative study on performance of model for particular datasets.
Mobile Phone Camera-Based Detection of Surface Plasmon-Coupled Fluorescence from Streptavidin Magnetic Nanoparticles and Graphene Oxide Hybrid Nanointerface
Authors: Bhaskar Seemesh , Rai Aayush , Kalathur Mohan Ganesh , Ramamurthy Sai Sathish
Published: April 2022

Surface plasmon-coupled fluorescence (SPCF) technique has developed as a highly sensitive, specific, and versatile methodology for quantitative and qualitative bioassays. It relies on the ability of prism-coupling approach to channelize the emitted photons into sharply directional emission with attributes of propagating surface plasmons resulting in highly p-polarized emission. There are voluminous research studies demonstrating the utility of wide range of nanomaterials as effective spacers in SPCF. Streptavidin magnetic nanoparticles (SMNPs) serve as excellent candidates for biomedical applications on account of their biocompatibility and tunable magnetic properties. From the perspective of magneto-plasmonics, although they are excellent candidates for SPCF explorations, they are underutilized in this domain. In this background, we report the first-time demonstration of quintessential integration of SMNPs and graphene oxide π-plasmons as crucial spacer material for augmented SPCF. The results obtained with exorbitant detector systems are substituted with reliable mobile phone camera based detectors, amenable for resource-limited settings.
A Review on Software Testing Using Machine Learning Techniques
Authors: Gautam Shikha , Khunteta Ajay , Sharma Pooja
Published: April 2022

Software testing is the method of executing the program with the intension of finding the errors. This process is very complex and time intensive and costly. Automation of software testing process has turn out to be very workable solution in software engineering. For this purpose, machine learning algorithm is being used. We chose 48 primary research studies, tried to explain each machine learning-based approach in software testing. It gives an overview of how the input that is available data given to the model for learning and then how it is helping in giving predictions. We discovered that machine learning methods were mostly employed for test case development, refining, and evaluation. Machine learning has also been used to evaluate the production of test oracles and predict the cost of testing procedures.
Gamification in HRM: An Overview
Authors: Narang Sheela , Bhardwaj Garima , Srivastava Arun Pratap
Published: April 2022

Technology is used in every facet of our lives. Organizations are adopting advanced technologies in various management functions to reduce costs, save time, gain competitive advantage, and build brand image. The terminology of gamification is an extensively studied theme depending on its application in varied areas. The study is focused on the application of gamification in the domain of Human Resource Management (HRM) owing to technological advancement in the backdrop of IT. Therefore, the primary objective is to explore the implementation areas and the persistent advantages of gamification in HRM. The present study is exploratory in nature, and provides insights of gamification, which is still a novel technology, especially for Indian firms. The study contributes by offering convenient means of understanding the implementation of gamification in HRM.
Efficient Image Deblurring Application Using Combination of Blind Deconvolution Method and Blur Parameters Estimation Method
Authors: Jain Charu , Kumar Anil , Chugh Aarti , Charaya Nisha
Published: April 2022

Image deblurring can be formulated as the inverse process of image blurring. The degraded image can be improved and reconstructed to its original form using image deblurring. Image reconstruction in elementary mode begins with estimation of degradation parameters followed with application of some classical restoration approach. This paper introduces a new approach for image restoration. Here, removal of motion blurs is done through blind deconvolution technique. Two motion parameters angle (θ) and length have been considered for estimation. Hough transform method is used for estimation of blur parameters. PSNR and MSE are employed to exploit important image characteristics, such as denoising, error, randomness, etc. Proposed algorithm is tested for accuracy. Experiments are carried out to study important image features, which play a major role during image restoration.