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Medical Tourism in South India - A Relative Study of the Principal participants in hospital and hospitality industry in South India
International Journal of Management, IT and Engineering Vol.3, ISSUE 1, pp. 613-626 ISSN No. 2249-0558 -
A literature review on destination management organization /
Zenith International Journal of Multidisciplinary Research, Vol.4, Issue 12, pp.675-681, ISSN No: 2231-5780. -
Setting benchmarks through Destination Management Organizations (DMOs): A study on the tourism policy of Karnataka, India /
Asian Journal of Management Sciences, Vol.2, Issue 6, pp.33-39, ISSN No: 2348-0351. -
Formation and photoluminescence of ZnS:Tb nanoparticles stabilized by polyethylene glycol
ZnS nanoparticles doped with 1 mol.% of Tb have been prepared at 70 C by simple chemical precipitation method using poly ethylene glycol (PEG) as capping agent. The synthesized nanoparticles have been analysed using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), photoluminescence (PL) and UV-Vis absorption spectroscopy. From X-ray diffraction analysis, it was found that nanostructured ZnS:Tb particles exhibited cubic structure with an average crystallite size of 2.75 nm. Room temperature photoluminescence (PL) spectrum of the doped sample exhibited broad emission in the visible region with multiple peaks at 395 and 412 nm due to 5D3?7F6and 7F5transitions and 492, 536, 600, 653 and 680 nm due to 5D4?7F67F57F4,7F1and 7F0transitions. 2020 Elsevier Ltd. All rights reserved. -
Highly luminescent ZnS:Mn quantum dots capped with aloe vera extract
This study demonstrates the optical properties of ZnS:Mn2+ qquantum dots synthesized by simple and eco-friendly chemical precipitation method using aloe vera (AV) extract as the stabilizing agent. The nanoparticles have been characterized by transmission electron microscopy (TEM), Fourier transform infrared (FTIR) spectroscopy, diffuse reflectance spectroscopy (DRS), photoluminescence (PL) and time-resolved PL spectroscopy. Increase in band gap energy with decrease in particle size was observed from DRS studies due to quantum confinement effect. Dominant yellow emission was observed from characteristic 4T1?6A1 transitions of the Mn2+ions in the ZnS:Mn/AV nanoparticles. The results provide insight to the quantum confinement effect that occur and how it affect decay life time of the ZnS:Mn2+/AV nanoparticles. 2020 Elsevier Ltd -
Pure red luminescence and concentration-dependent tunable emission color from europium-doped zinc sulfide nanoparticles
Nano-sized Eu3+-doped ZnS particles were prepared by chemical precipitation method using polyethylene glycol as capping agent. The structural and morphological studies of ZnS:Eu3+ nanoparticles were carried out using X-ray diffraction (XRD), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). XRD results show that ZnS:Eu3+ nanoparticles have a cubic structure for all Eu3+ concentrations. Dependence of doping concentration on the photoluminescence (PL) of ZnS:Eu3+ nanophosphor was studied for excitations at 395nm and 465nm. At 395-nm excitation, emission colors of ZnS:Eu3+ nanophosphor lie in blue, green, yellow, and red regions of chromaticity diagram for different doping concentrations. But for all doping concentrations we got red emission when the excitation wavelength was 465nm and the color purity was 92% for 0.03M doped sample. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Securing patient information: A multilayered cryptographic approach in IoT healthcare
The increasing integration of devices utilising the of Internet of Things (IoT) in healthcare has resulted in the collection of an unparalleled volume of patient data. Personal identifiers, insurance information, medical history, and health monitoring measures are all included in a complete dataset. Ensuring security and privacy of IoT devices is crucial in the healthcare sector. The goal of this project is to combine steganography with three different cryptographic algorithms to develop a hybrid cryptographic technique. Among the algorithms under investigation are steganography, Caesar cipher, columnar transposition cipher, and one-time pad. Every encryption scheme uses three keys to encrypt patient data. The encrypted data is subsequently encoded into an image file through image-based steganography. To ensure confidentiality and authentication, an authorised user can decrypt the file through a designated decryption process, maintaining the integrity of patient data. 2025 selection and editorial matter, Keshav Kumar and Bishwajeet Kumar Pandey; individual chapters, the contributors. -
A Comparative Study of Machine Learning and Deep Learning Algorithms to Predict Crop Production
Agriculture is a field that plays an essential part in strengthening a country's economy, especially in agrarian countries like India, where agriculture and crop productivity play a large role in the economy. The research focuses on comparing machine learning and Deep learning algorithms in predicting total crop yield production. The parameters considered for the study are State name, District name, Year, Season, Crop, Area and Production. The dataset is resourced from the data.gov.in website. Random forest from Machine Learning and Sequential model from Deep learning are compared, and the performance metric considered for the study is R2 score. The objective is to assess how well the independent variable predicts the variance in the dependent variable. Random Forest algorithm achieved an R2 score of 0.89, whereas Deep Learning Sequential algorithm gave an R2 score of 0.29. 2023 American Institute of Physics Inc.. All rights reserved. -
Synergetic effects of cross-linking and incorporation of Fe-Al bimetallic combination on the properties of polyvinyl alcohol novel films
Polyvinyl alcohol films incorporated with Fe-Al bimetallic combination novel films were synthesized by sol-gel method in the presence of glutaraldehyde (GA). The results of FTIR spectra confirmed the cross-linking between PVA and GA, resulted in the formation of rigid molecular chains. The comparison of thermograms of pure PVA and Fe-Al PVA films cured with GA indicated the enhanced thermal stability of the cured films. The electrical properties of the pure PVA films and bimetallic PVA films cured with GA were studied in the frequency range 100 Hz to 100 kHz. The current study explains the effect of GA and incorporation of Fe-Al bimetallic combination towards the structural modification and dielectric properties like dielectric constant, dielectric loss, ac conductivity, polarization, and permittivity of the cured PVA films. The variation of the storage modulus of cured PVA films as a function of temperature has also been studied. 2023, Qatar University and Springer Nature Switzerland AG. -
Facile synthesis of aluminum oxyhydroxide-PVA films and its adsorptive evaluation for the removal of methylene blue dye from water: kinetics, optimization studies and mechanism
Aluminum oxyhydroxide-polyvinyl alcohol films were synthesized by the solgel method with varying metal-polymer ratios. The results of the characterization confirmed the formation of aluminum oxyhydroxideand the incorporation of metal into the polymer. The adsorption isotherms of the film exhibited type IV isotherms indicating the mesoporous nature with a non-uniform pore size distribution. The optical profilometric studies confirmed the surface roughness of the film. The adsorptive nature of the film was tested for the removal of methylene blue dye from the aqueous solution. Optimization studies were conducted to investigate the effect of various parameters on the adsorption process. The adsorption isotherms of methylene blue fit with the Langmuir isotherm model and follow a pseudo-second-order equation. A suitable reaction mechanism was proposed, which confirms the adsorptive nature of the film is due to the electrostatic attraction. The synergetic effect of the metal-polymer blend, surface roughness and pore size of the film, which ranges from 0.01 to 0.025nm,enhances the adsorption of methylene blue. The comparison of results obtained in the current study with earlier reports confirms that the aluminum oxyhydroxide-polyvinyl alcohol films can be considered an eco-friendly, cost-effective adsorbent for removing methylene blue. 2023, The Polymer Society, Taipei. -
Synergistic effect of metals and cross linkers on surface modification of iron aluminum oxyhydroxide-PVA polymer films for enhanced catalytic activity in transesterification reaction
Iron-incorporated aluminum oxyhydroxide polyvinyl alcohol films (Fe-Al-PVA) were synthesized using the solgel method. The influence of cross-linking agents on the aluminum oxyhydroxide films was investigated by incorporating glutaraldehyde into the synthesized films. Various characterization techniques were employed to understand the physico-chemical properties that affect the catalytic and adsorptive behavior of the self-supported films. The liquid phase transesterification of terpenes was used to test the catalytic activity of the films for the synthesis of industrially important terpene esters. The products were analyzed using GC, GCMS, and NMR techniques, and optimization studies were carried out under different experimental conditions. The reaction scope was expanded to a wider range of organic compounds, and a possible reaction mechanism was proposed. This study demonstrates the design and modification of efficient bimetallic polymer film catalyst for organic transformations. 2023 Wiley Periodicals LLC. -
Correlation of Surface Properties and Catalytic Activity of Metal Aluminophosphates
Alumina and its modified forms have gained significant interest in recent years as potential material for a wide variety of industrial applications. Aluminophosphates were reported as one of the promising catalytic materials in organic transformations. The catalytic activity of a material is always associated with the nature of active centers available on the surface of a catalyst. The incorporation of metal ions into aluminophosphates is of particular interest for the design of the novel catalysts. The post and pretreatment methods followed for the synthesis of the material determines the structural and textural properties of the material. The transition metal loading over aluminophosphates play a significant role in the generation of surface-active sites. This chapter deals with simple ecofriendly synthesis, physico-chemical characterization and catalytic activity of metal aluminophosphates. The chapter mainly explains the correlation of surface properties and catalytic activity of metal aluminophosphates in industrially important organic transformations. 2023 selection and editorial matter, Anitha Varghese and Gurumurthy Hegde; individual chapters, the contributors. -
Synthesis and characterization of Poly-Vinyl Alcohol-Alumina composite film: An efficient adsorbent for the removal of Chromium (VI) from water
Composite poly vinyl alcohol-alumina films were synthesized by a novel eco-friendly route in the absence of template. The physico-chemical nature of the synthesized film was studied using different characterization techniques. The poly vinyl alcohol-alumina composite film was found to be an efficient adsorbent for the removal of Chromium (VI) at higher concentrations from water. The preparation conditions were optimized to synthesize an efficient adsorbent film for the removal of chromium. The surface properties, chemical composition and amorphous nature of the film confirmed by different characterisation techniques attributes to the chromium removal efficiency of the film. Poly vinyl alcohol-alumina films are economically cheap, easy to prepare, efficient adsorbent for removal of chromium (VI) eco-friendly in nature and reusable with effortless regeneration methods. 2022 -
Distributed DoS Detection in IoT Networks Using Intelligent Machine Learning Algorithms
The threat of a Distributed Denial of Service (DDoS) attack on web-based services and applications is grave. It only takes a few minutes for one of these attacks to cripple these services, making them unavailable to anyone. The problem has further persisted with the widespread adoption of insecure Internet of Things (IoT) devices across the Internet. In addition, many currently used rule-based detection systems are weak points for attackers. We conducted a comparative analysis of ML algorithms to detect and classify DDoS attacks in this paper. These classifiers compare Nave Bayes with J48 and Random Forest with ZeroR ML as well as other machine learning algorithms. It was found that using the PCA method, the optimal number of features could be found. ML has been implemented with the help of the WEKA tool. 2021 IEEE. -
Preparation for parenthood programme: Experiences form Southern India /
Internatinoal Review of Psychiatry, Vol.26, Issue 4, pp.423-429, ISSN No: 0954-0261. -
Integrated skills for parenting the adolescents (ISPA): An intervention to strengthen parent- adolescent relationship /
Review of Neuropsiquiatrica, Vol.76, Issue 4, pp.413-422, ISSN No: 1609-7394. -
RNA-seq DE genes on Glioblastoma using non linear SVM and pathway analysis of NOG and ASCL5
Differentially Expressed genes related to Glioblastoma Multiforme as an output of RNASeq studies were further studied to conclude new research insights. Glioma is a type of intracranial tumor (within the skull), which can grow rapidly in its malignant stages. Gene expression in Grade II, III and IV Gliomas is analysed using non linear SVM models. The enriched GO terms were identified GOrilla. Pathways related to NOG and ASCL5 gene were studied using Reactome. 2020, Springer Nature Switzerland AG. -
Financial Market Forecasting using Macro-Economic Variables and RNN
Stock market forecasting is widely recognized as one of the most important and difficult business challenges in time series forecasting. This is mainly due to its noise. The use of RNN algorithms for funding has attracted interest from traders and scientists. The best technique for learning long-term memory sequences is to use long and short networks. Based on the literature, it is acknowledged that LSTM neural networks outperform all other models. Macroeconomics is a discipline of economics that studies the behavior of the economy as a whole. Macroeconomic factors are economic, natural, geopolitical, or other variables that influence the economy of a country. This study studies and test several macroeconomic variables and their significance on stock market forecasting. In macroeconomics, we have series that are updated once a month or even once a quarter, with data that is rarely more than a few hundred characters long. The amount of data given can sometimes be insufficient for algorithms to uncover hidden patterns and generate meaningful results. Depending on the prediction needs, we proposed a feasible LSTM design and training algorithm. According to the findings of this study, the inclusion of macroeconomic variable has a significant impact on stock price prediction. 2022 IEEE. -
A secure bio-hash-based multiparty mutual authentication protocol for remote health monitoring applications
Remote health monitoring can benefit a large number of stake holders in healthcare industry, and it has the potential to make healthcare facilities available to a large number of masses at a reduced cost. Wireless Body Area networks (WBAN) comprising of sensors, capable of capturing and transferring physiological parameters of patients, provide an efficient and cost-effective solution for remote health monitoring. Data security is one among the major concerns preventing the widespread adoption of this technology by patients and healthcare sector. This chapter on remote health monitoring, presents a biometric-based authentication protocol. The work also proposes a multiparty mutual authentication protocol for authenticating the entities, such as users, sensors, personal devices, and medical gateway, participating in a WBAN. In the proposed protocol, a verifier table is not required to store the password of users. Formal security analysis and verification of the discussed protocols are performed using Scyther tool, and the results reveal that the protocols are resistant to privileged-administrator resilience attack, man-in-the-middle attack, replay attack, and impersonation attack. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. -
Key management solutions for database as a service: A selective survey
In todays scenario, efficient data processing is a fundamental and vital issue for almost every scientific, academic, or business organization. To tackle this issue, organizations end up installing and managing database systems to satisfy different processing needs. In case of adopting a traditional solution, the organization needs to purchase the necessary hardware, deploy database products, establish network connectivity, and hire professional people who run the system. But this solution is getting impractical and expensive as the database systems and problems become larger and complicated (El-Khoury et al., 2009). Again, traditional solution entails different costs from the perspective of the investments involved. These concerns are handled efficiently to a great extent by the fast developing technology that goes by the name, cloud computing.. 2014 by Taylor & Francis Group, LLC.