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Simulation, optimisation and analysis of energy saving in crude oil distillation unit
Physical distillation is the major process in crude oil refineries as of now. To ensure quality control in the final products, it is essential to ascertain the true boiling point of the crude oil and the products. The work is mainly concentrated to an industrial crude oil distillation unit. The objective of the paper is to present the simulation and optimisation of crude distillation unit (CDU) along with the analysis of energy saving, using Aspen HYSYS V8.8.2. Different crudes are taken into account, their properties and amount of distillate are analysed. The process optimisation is done in an easier manner using Aspen HYSYS rather than the conventional mathematical method, together with the advanced process control tools; make it profitable in the operation in real-time. The simulation results are validated with the actual plant results. Copyright 2018 Inderscience Enterprises Ltd. -
Simulations of electric vehicle model for insights into pre-planned trajectory profiles
Electric vehicles are slowly gaining its significance in the automobile sector due to stringent emission norms. This research article highlights the fundamental modeling steps required for an electric vehicle designing following a simulation approach using MATLAB/Simulink software. It gives a clear and concise way to interpret vehicle model from a simple to complex modelling approach. Unlike other research works, this paper helps to thoroughly perceive the fundamentals involved in modeling an electric vehicle with different trajectory profiles. The vehicles behavior when subjected to different external forces, steering characteristics under different path profiles are analyzed in a systematic way. This research work highlights the significance of identifying and solving issues faced in the safety sub-system of an EV. 2020 SERSC. -
Simulations of electric vehicle model for insights into pre-planned trajectory profiles
Electric vehicles are slowly gaining its significance in the automobile sector due to stringent emission norms. This research article highlights the fundamental modeling steps required for an electric vehicle designing following a simulation approach using MATLAB/Simulink software. It gives a clear and concise way to interpret vehicle model from a simple to complex modelling approach. Unlike other research works, this paper helps to thoroughly perceive the fundamentals involved in modeling an electric vehicle with different trajectory profiles. The vehicles behavior when subjected to different external forces, steering characteristics under different path profiles are analyzed in a systematic way. This research work highlights the significance of identifying and solving issues faced in the safety sub-system of an EV. 2020 SERSC. -
Simultaneous first order derivative spectrophotometric determination of Vanadium and Zirchonium in alloy steels and minerals
Spectrochimica Acta Part A : Molecular and Bio molecular Spectroscopy, Vol.95,pp.46-52, ISSN No. 1386-1425 -
Simultaneous first order derivative spectrophotometric determination of vanadium and zirconium in alloy steels and minerals
A simple, selective and sensitive spectrophotometric method has been developed for the individual and simultaneous determination of trace amounts of vanadium(V) and zirconium(IV) in acetic acid medium using a newly synthesised reagent diacetylmonoxime salicyloylhydrazone (DMSH), without any prior separation. The molar absorptivity and Sandell's sensitivity of the coloured species are 1.30 x 10 4 and 1.82 x 10 4 Lmol -1cm -1 and 3.9 and 2.5 ng cm -2 for V(V) and Zr(IV), respectively. Beer's law is obeyed between 0.26-2.80 and 0.30-3.20 ?g mL -1 concentration of vanadium (V) and zirconium (IV) at 405 and 380 nm respectively. The stoichiometry of the complex was found to be 1:1 (metal:ligand) for V(V) and 1:2 for Zr(IV) complexes. These metal ions interfere with the determination of each other in zero order spectrophotometry. The first derivative spectra of these complexes permitted a simultaneous determination of V(V) and Zr(IV) at zero crossing wavelengths of 445 nm and 405 nm, respectively. The optimum conditions for maximum colour development and other analytical parameters were evaluated. The proposed method has been successfully applied for the determination of zirconium and vanadium in standard alloy steel samples, mineral and soil samples. 2012 Elsevier B.V. All rights reserved. -
Simultaneous X-Ray and Optical Polarization Observations of the Blazar Mrk 421
We present near-simultaneous X-ray and optical polarization measurements in the high synchrotron peaked (HSP) blazar Mrk 421. The X-ray polarimetric observations were carried out using Imaging X-ray Polarimetry Explorer (IXPE) on 2023 December 6. During IXPE observations, we also carried out optical polarimetric observations using 104 cm Sampurnanand telescope at Nainital and multiband optical imaging observations using 2 m Himalayan Chandra Telescope at Hanle. From model-independent analysis of IXPE data, we detected X-ray polarization with degree of polarization (?X) of 8.5% 0.5% and an electric vector position angle (?X) of 10.6 1.7 in the 2?8 keV band. From optical polarimetry on 2023 December 6, in B, V, and R bands, we found values of ?B = 4.27% 0.32%, ?V = 3.57% 0.31%, and ?R = 3.13% 0.25%. The value of ?B is greater than that observed at longer optical wavelengths, with the degree of polarization suggesting an energy-dependent trend, gradually decreasing from higher to lower energies. This is consistent with that seen in other HSP blazars and favors a stratified emission region encompassing a shock front. The emission happening in the vicinity of the shock front will be more polarized due to the ordered magnetic field resulting from shock compression. The X-ray emission, involving high-energy electrons, originates closer to the shock front than the optical emission. The difference in the spatial extension could plausibly account for the observed variation in polarization between X-ray and optical wavelengths. This hypothesis is further supported by the broadband spectral energy distribution modeling of the X-ray and optical data. 2024. The Author(s). Published by the American Astronomical Society. -
Single Port Multimode Reconfigurable UWB-NB Antenna for Cognitive Radio Applications
In this paper, a compact, single port, multimode reconfigurable UWB-NB antenna with a novel feeding network is presented. The proposed antenna consists of a pentagonal-shaped monopole radiator, a beveled-shaped partial defected ground plane with a rectangular slot, and a reconfigurable bypass feeding network. The antenna realizes a wideband frequency range from 2.4 to 18 GHz and four narrow band frequency ranges, 5.3 to 6.8 GHz, 6.0 to 7.6 GHz, 7.2 to 8.8 GHz and 8.4 to 11.4 GHz. The antenna provides an omnidirectional radiation pattern with gain from 2.2 to 6.2 dBi maximum at 12 GHz and voltage standing wave ratio (VSWR) ranges from 1 to 2. The fabricated antenna has an overall dimension of 181.6 mm3. Sensing and tuning ranges of the fabricated antenna shows good agreement with the simulation results. The proposed antenna has an advantage of simple design, low profile, single port excitation and omnidirectional radiation pattern making it suitable for applications such as handheld mobile cognitive radio systems. 2022 SBMO/SBMag -
Single-monomer dual templated MIP based electrochemical sensor for tartrazine and brilliant blue FCF
In this study, a dual-templated molecularly imprinted polymer-based electrochemical sensor was developed for the simultaneous analysis of two food additive dyes, brilliant blue FCF and tartrazine. Using a 3-aminophenyl boronic acid (3-APBA) monomer and the dual templates of brilliant blue FCF (BB) and tartrazine (TZ), the molecularly imprinted polymer (MIP) layer was electropolymerized on the carbon fibre paper (CFP) electrode. By using BB and TZ as template molecules along the electro-polymerization of 3-APBA, then removing both template molecules, the MIP film was generated on the surface of the CFP electrode. Due to the high surface area provided by modification, several complementary binding sites for template molecules are formed on the surface of the MIP sensor during this process of sensor fabrication. On the MIP/CFP electrode, the electrochemical behavior of BB and TZ was assessed. The monomer/template ratio, pH values, and influencing parameters like the electro-polymerization scanning cycles were all optimized. This sensor was applied to detect brilliant blue FCF and tartrazine in beverage and food samples using MIPAPBA/CFP electrode. 2023 -
Sinking houseboats and swaying home stays: community resilience and local impacts of COVID-19 in managing tourism crisis in Kerala
Purpose: The tourism sector of the state of Kerala in India is highly vulnerable and has been extensively impacted by the global pandemic disaster. This paper aims to analyze the impact of COVID-19 (Corona virus pandemic) on houseboat operators and homestay managers. Design/methodology/approach: This paper indicates a multi-stakeholder assessment method to examine various pandemic disaster facets through a structured discussion with different destination stakeholders. This study examines qualitative data collected through semi-structured interviews from homestay owners, houseboat operators and government designators in Kerala. This study proposes a conceptual community resilience competency framework that could facilitate speedy crisis management responses. In this study, the sample comprises of nine respondents who play a pivotal role in the travel business, comprising the public sector, private sector, NGO's and community leaders. Findings: The qualitative findings identify Indias and the state of Kerala's roles in handling crisis management scenarios over internal strategies and strategy formulation. The results indicate that the supplementary industry practitioners explore tactical and strategic management initiatives to sustain their businesses. The dynamics of stakeholder engagement adopted by the state is given prominence. Originality/value: This study suggests mechanisms to re-establish the brand image and the possible strategies and suggestions that could help in the survival of the Kerala tourism industry in the post-disaster period. The new normal has been substantiated in the study by incorporating strategies and precautionary methods adopted by the homestay and houseboat operators so as to address the guests' safety concerns. 2021, International Tourism Studies Association. -
Sixth-Generation (6G) Mobile Cloud Security and Privacy Risks for AI System Using High-Performance Computing Implementation
The exchange of information from one person to another is called communication. Telecommunication makes it possible with electronic devices and their tools. The scientist Alexander Graham Bell has invented the basic telephone in 1876 in the USA. Telephones now have the new format in the form of mobile phones, which are the primary media for communicating and transmitting data. We are using 5th-generation mobile network standards. Still, there are some requirements for the users that are believed to be solved in the 6th-generation mobile network standards. By 2030, all of the people would be using 6G. The computing model in the cloud is not dependent on either the location or any specific device that would provide the service. It is an on-demand computational service-oriented mechanism. Combining these two technologies as mobile cloud computing provides customized options with more flexible implementations. Artificial intelligence is being used in devices in many fields. AI can be used in mobile network services (MNS) to provide more reliable and customized services to the users, such as network operation monitoring, network operation management, fraud detection, and reduction in mobile transactions and security to the cyber devices. Combining cloud with AI in mobile network services in the 6th generation would improve human beings' lives, such as zero road accidents, advanced level special health care, and zero crime rates in society. However, the most vital needs for sixth-generation standards are the capability to manage large volumes of records and excessive-statistics-fee connectivity in step with gadgets. The sixth-generation mobile network is under development. This generation has many exciting features. Security is the central issue that needs to be sorted out using appropriate forensic mechanisms. There is a need to approach high-performance computing for improved services to the end-user. Considering three-dimensional research methodologies (technical dimension, organizational dimension, and applications hosted on the cloud) in a high-performance computing environment leads to two different cases such as real-time stream processing and remote desktop connection and performance test. By 'narrowing the targeted worldwide audience with a wide range of experiential opportunities,' this paper is aimed at delivering dynamic and varied resource allocation for reliable and justified on-demand services. 2022 Srinivasa Rao Gundu et al. -
Size effect in market-wide liquidity commonality: Evidence from the indian stock market
Liquidity commonality and the co-movements in trading costs related to such commonality have remarkable implications in market microstructure. Analyzing and identifying such commonality will enable the investor and policy maker to discover evidence regarding the inventory risks and asymmetric information influencing individual securities' liquidity. Thus, this study aims at documenting the liquidity commonality and measuring its extent in the Indian stock market. Employing fourteen liquidity measures attributed to the cost, quantity, time, and multidimensional aspects of liquidity, it empirically proves the existence of co-movements among market-wide liquidity and the individual securities' liquidity. The study also shows the presence of a size effect in liquidity commonality in Indian stock market. It is found that the slope coefficient indicating the interface between market-wide liquidity and individual securities' liquidity generally increases with size. Copyright 2019 Namitha K. Cheriyan, Daniel Lazar. -
Size Tuning, Phase Stabilization, and Anticancer Efficacy of Amorphous Selenium Nanoparticles: Effect of Ion-Pair Interaction, ?OH Functionalization, and Reuse of RTILs as Host Matrix
Se nanoparticles (NPs) of predominantly amorphous phase (?-Se) have been prepared in room-temperature ionic liquids (RTILs). The effects of ion-pair combination and ?OH functionalization of RTILs on the size and phase stability of Se NPs were investigated. The RTILs used were 1-ethyl-3-methyl imidazolium boron tetrafluoride ([EMIM][BF4]), 1-(2-hydroxyethyl)-3-methyl imidazolium boron tetrafluoride ([EOHMIM][BF4]), and 1-ethyl-3-methyl imidazolium methane sulfonate ([EMIM][MS]). The size of Se NPs@[EOHMIM][BF4] was found to be the smallest (?32 nm), followed by Se NPs@[EMIM][BF4] (?57 nm) and Se NPs@[EMIM][MS] (?60 nm), respectively. Interestingly, the stability studies revealed minimal size variations for Se NPs@[EMIM][MS], followed by Se NPs@[EOHMIM][BF4] and Se NPs@[EMIM][BF4], respectively. The observed trends could be correlated with the strength of interionic interactions in the respective RTILs, as well as their packing order (density). Importantly, the RTILs played the role of a solvent, a stabilizer, and an in situ source of reducing species. Pulse radiolysis study revealed imidazolium-originated radical species-driven formation of Se NPs. Further, anticancer efficacy studies demonstrated the role of NP size, wherein Se NPs@[EOHMIM][BF4] exhibited the highest cancer cell killing, followed by Se NPs@[EMIM][BF4] and Se NPs@[EMIM][MS]. Another significant highlight of this work is the reuse of the spent RTILs for the synthesis of the next batch of Se NPs. 2021 American Chemical Society -
Size-dependent analysis of surface wave in irregular fractured porous seabed subjected to fractional-order derivative
This study focuses on the investigation of the dispersive and damping characteristics of surface waves through an irregular boundary of ocean bed composed of a fluid-saturated dual porosity/dual permeability material. The nonlocal fluid-saturated dual porosity/dual permeability layer (NFSDP2L) is confined by a nonlocal viscous liquid layer (NVLL) and a nonlocal viscous sandy substrate (NVSS) having fractional viscoelastic properties. The governing equations for the proposed model are derived using Eringens nonlocal theory. The complex frequency relation is obtained by applying the variable separation technique and enforcing appropriate boundary conditions. By dissociating the frequency relation into real (dispersion equation) and imaginary (attenuation equation) parts, graphs are generated to illustrate the influence of several key parameters., viz. nonlocality, porosity, sandiness, fractional-order, fluctuation, flatness, and position on the fundamental and higher modes of propagating waves. The effects of various parameters are also depicted through the graphical illustration of shear wave speed in NFSDP2L and NVSS. Furthermore, the surface response of shear stress against depth within the layered structure has been graphically illustrated. The validity of our mathematical model has been assessed by examining multiple relevant scenarios. 2025 Taylor & Francis Group, LLC. -
Size, Value Effects and the Explanatory Power of Pricing Models: Evidence from BSE listed Indian Industries
The firm size and value anomalies are the global-level counterpart for explaining the cross-sectional variations of equity returns. This paper aims to examine the size, value effects and explanatory power of three well-known pricing models - CAPM, three-and five-factor- across and within 15 Indian industries. The study considers all firms listed on Indian largest stock exchange, BSE (Bombay stock exchange), between 1999-2021 by developing portfolios using firm size/value, size/investment and size/profitability risk characteristics. The study employs both univariate and multivariate methods, including time series, GRS statistics, and cross-sectional models within and across industries portfolios. Results indicated that size and value effects exist in almost all industries, presenting that size and value anomalies are the most prominent determinants for industry-level equity returns. In addition, the profitability and investment effects were also investigated; however, the results are mixed from industry to industry. In the case of the explanatory power of pricing models, the five-factor performs much better within and across industry portfolios than other pricing models; however, the models' effectiveness varies by industry. We also reported that investors who seek to allocate funds within and across industries tend to be expected reasonably stable returns and conceivably predictable; the findings of this study contribute to the existing literature on asset pricing and portfolio management in emerging markets. The Author(s) 2022. -
Skin cancer classification using machine learning for dermoscopy image
Skin cancer is highly ambiguous and difficult to identify and cure in the last stage. To increase the survival rate, it is important to recognize the stages of skin cancer for effective treatment. The main aim of the paper is to classify the various stages of skin cancer using dermoscopy images from the data repository of ISIC and PH2. The data is pre -processed with the help of median filter and wiener filter for removing the noise. Segmentation is processed using Watershed and Morphological. After the segmentation, features were extracted using Grey Level Co-occurrence Matrix (GLCM), Color, Geometrical shapes in order to improve the accuracy of dermoscopy image. Finally, the dataset is classified with some popular methods like KNN with 89%, Ensemble with 84% and SVM works better than the other two methods by giving the highest accuracy of 92%. BEIESP. -
Skin lesion classification using decision trees and random forest algorithms
Any superficial skin growth that does not resemble the surrounding area is referred to as skin lesion. It can occur in the form of mole, bump, cyst, rash or other changes that can be classified either as primary or secondary lesion. While primary skin lesions correspond to those changes in color or texture, secondary lesions occur as a primary lesion progression. Skin lesion image segmentation and classification at the early stages can help the patients recover through proper medication and treatment. Many algorithms for segmentation and classification are available in the literature but they all fail to extract lesion boundaries perfectly and classify them with more accuracy. To improve the reliability of the skin image segmentation and classification, we propose to use decision trees and random forest algorithms in this works and compare them with different data sets. The proposed method can generate high-resolution feature maps that can help to preserve the spatial details of the image. While tested against the ISIC 2017 and HAM10000 dataset, we found that the proposed method is more accurate as compared to the existing algorithms in this domain and is also very robust to artifacts or hair fibers present in the skin images. 2020, Springer-Verlag GmbH Germany, part of Springer Nature. -
Skincare Products as Sources of Mutagenic Exposure to Infants: An Imperative Study Using a Battery of Microbial Bioassays
Infant skin is highly absorptive and sensitive to exposure from external agents (microbes, toxicants, heat, cold, etc.). Many specialized infant skincare products are currently commercially available. Although the manufacturers claim that their products are mild enough to suit the infant skin, these products need to be studied for their safety. Using animal models to examine the safety of the ever-increasing number of skincare products is not economically or logistically feasible. To overcome this problem, we suggest using a battery of microbial bioassays as a robust system for monitoring the mutagenic potential of skincare products. We picked popular infant skincare products from the Indian market and assessed them by using a battery of three microbial mutagenicity bioassays. Most of them showed significant and reproducible mutagenic potential. Our study results raise concerns about regular use of infant products and emphasize the need to enforce strict regulations for the manufacturing and safety assessment of infant products. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature. -
Slow Violence in Vikram Chandras Sacred Games: An Ecocritical Reading
This article gives insight into the ways in which enforcement and institutional vigilante activities portrayed in Vikram Chandras Sacred Games foreshadow the urban thicket of garbage dump yards and slum dwellings. The text will be analyzed from an ecocritical perspective to establish aspects of slow violence and its explicit and implicit results. Chandras plotline, regarding several entangled human tragedies against the background of refuse, urges a study of the novel through the lens of waste studies. However, he fails to address the reasons for the characters opinion of Mumbai being uninhabitable and infamous for treating human life as expendable. The novelist also seems to normalize the issues of inequalities in waste management and justifies the anthropocentric utilitarian perception of resources. The depictions of Mumbai gang wars against a disturbingly overlooked state of dilapidated lives and misplaced ideologies mention waste as being both created and ignored. Such representation also compels a close reading of consumerism and criminal aspiration. 2023, University of Zadar. All rights reserved. -
Sm-MOF/rGO/PANI composite as an electrode material for supercapacitor applications
In recent years, scientists have been paying a lot of attention to metal-organic frameworks, often known as MOFs, as a possible material for use as electrodes in supercapacitors. MOFs are capable of functioning as high-quality pseudocapacitors because of their crystalline structure, which enhances the specific surface area and provide mechanical support for composite materials. The objective of this study is to synthesize an electrode material that can be used as supercapacitors by synthesizing Sm-MOF and then combining it with reduced graphene oxide (rGO) and polyaniline (PANI) to make a hybrid material. Here, the effect of incorporation of PANI and rGO in Sm-MOF is investigated, and its application as a supercapacitor is examined. Due to the high surface area and pore size, Sm-MOF/rGO/PANI material exhibits high specific capacitance. The computed specific capacitance of the composite Sm-MOF/rGO/PANI material is 1935.6 F g?1 when subjected to a current density of 1 A g?1. The Sm-MOF/rGO/PANI device is fabricated and exhibits a specific capacitance of 218 F g?1. The specific power and energy are calculated to be 59.3 Wh kg?1 and 581 W kg?1, respectively. 2023 Elsevier Ltd -
SM-SegNet: A Lightweight Squeeze M-SegNet for Tissue Segmentation in Brain MRI Scans
In this paper, we propose a novel squeeze M-SegNet (SM-SegNet) architecture featuring a fire module to perform accurate as well as fast segmentation of the brain on magnetic resonance imaging (MRI) scans. The proposed model utilizes uniform input patches, combined-connections, long skip connections, and squeezeexpand convolutional layers from the fire module to segment brain MRI data. The proposed SM-SegNet architecture involves a multi-scale deep network on the encoder side and deep supervision on the decoder side, which uses combined-connections (skip connections and pooling indices) from the encoder to the decoder layer. The multi-scale side input layers support the deep network layers extraction of discriminative feature information, and the decoder side provides deep supervision to reduce the gradient problem. By using combined-connections, extracted features can be transferred from the encoder to the decoder resulting in recovering spatial information, which makes the model converge faster. Long skip connections were used to stabilize the gradient updates in the network. Owing to the adoption of the fire module, the proposed model was significantly faster to train and offered a more efficient memory usage with 83% fewer parameters than previously developed methods, owing to the adoption of the fire module. The proposed method was evaluated using the open-access series of imaging studies (OASIS) and the internet brain segmentation registry (IBSR) datasets. The experimental results demonstrate that the proposed SM-SegNet architecture achieves segmentation accuracies of 95% for cerebrospinal fluid, 95% for gray matter, and 96% for white matter, which outperforms the existing methods in both subjective and objective metrics in brain MRI segmentation. 2022 by the authors. Licensee MDPI, Basel, Switzerland.