Improvised Model for Estimation of Cable Bending Stiffness Under Various Slip Regimes
Bending stiffness; Coulomb friction force; Hertzian contact theory; Interwire slippage; Stranded cables
It is well known that the bending response of a stranded cable varies between two extremes, known as a monolithic stickslip state and a completely frictionless loose wire state. While the monolithic state offers the maximum stiffness for the cable, the latter loose wire assembly results in minimum stiffness. The estimation of the actual behavior of the cable under any loading scenario demands a proper modeling that accounts for the interaction of the constituent wires in the intermittent slip stages. During loading, the wires are not only subjected to forces along their axes but are considerably acted upon with radial forces that cause clenching effect. Major research works have focused on the frictional resistance of these radial forces from the Coulomb hypothesis, which contributes to the macro slip phenomenon. As the effect of these radial clenching forces are also significant in causing high contact stresses between wires at the adjacent layers, the need for considering the micro slip at these locations is also vital in the evaluation of the net cable stiffness. In this paper, a novel model is proposed that considers the slip caused by the Coulomb friction hypothesis and the micro slip caused by the Hertzian contact friction for the evaluation of bending stiffness. The variation of the bending stiffness has been evaluated for a single-layered cable as a function of bending curvature at various locations by studying their slip regimes. The predicted results are compared with the published results to establish the refined combined slip hypothesis suggested in this paper. The suggested slip model in this paper has also been accounted with the improvised kinematic relations that consider the wire stretch effect, a parameter that has been neglected in this cable research till date. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Dulabhai H.P.; Parthasarthy N.S.; Hebbar G.S.
Lecture Notes in Mechanical Engineering, pp. 389-402.
Springer Science and Business Media Deutschland GmbH
Dulabhai H.P., CHRIST (Deemed to be University), Bangalore, 560074, India; Parthasarthy N.S., CHRIST (Deemed to be University), Bangalore, 560074, India; Hebbar G.S., CHRIST (Deemed to be University), Bangalore, 560074, India
A Review of the Detection of Pulmonary Embolism from Computed Tomography Images Using Deep Learning Methods
Computed tomography; Convolutional neural network; Deep learning; Pulmonary embolism
Medical imaging has been evolving at a steady pace generating enormous amounts of health data, and the use of deep learning (DL) has helped a great deal in processing the detailed data. Deep learning-based methods are used in different medical imaging tasks to detect and diagnose diseases. For example, medical imaging is used to diagnose pulmonary embolism (PE), a commonly occurring cardiovascular disease with high mortality and prevalence and a low diagnosis rate. According to medical experts, PE has resulted in many deaths because of missed diagnoses for the medical condition. Another critical aspect of the disease is the possibility of permanent lung damage if left untreated. The use of deep learning methods in medical imaging is attributed to their ability to use learning-based methods to process enormous amounts of data. However, there are some unique challenges in the detection of PE. PE is not specific in its clinical presentation and is easily ignored, making it difficult to diagnose. Deep learning-based detection methods help a great deal in the disease detection in miniature sub-branches of the alveoli, and images with noisy artifacts easily compared to manual diagnosis. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Smart Innovation, Systems and Technologies, Vol-317, pp. 349-360.
Das M.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Rohini V., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India
Effect of pH on the structural and optical properties of cobalt oxide nanoparticles synthesized by hydrothermal method
Hydrothermal method; Micro strain; Point defects; Quantum size effect; Scherrer equation; Williamson - Hall Plot
The paper focuses on the synthesis and characterization of cobalt oxide nanoparticles synthesized under different alkaline pH of the precursor solution by hydrothermal method. Cubic spinel Co3O4 crystallites were observed by X-ray diffraction pattern (XRD) and Raman spectrum. The crystallite size decreases as the pH value increases. The absorption spectrum exhibited two broad bands which are in good agreement with the cobalt oxide band structure. The change in bandgap was observed with pH of the precursor solution in agreement with size effects. Photoluminescence (PL) spectra consist of a broad emission with different peaks which are due to point defects. 2022
Materials Today: Proceedings, Vol-80, pp. 942-946.
https://doi.org/10.1016/j.matpr.2022.11.332 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143550147&doi=10.1016%2fj.matpr.2022.11.332&partnerID=40&md5=5b71ce3fc830b785a28aa476dda9b0cb
Chrisma R.B., Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Avani A.V., Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Anila E.I., Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India
Thickness dependent tungsten trioxide thin films deposited using DC magnetron sputtering for electrochromic applications
Corning glass; Electrochromism; FTO substrates; Hybrid thin films; WO3
DC magnetron sputtering was used to grow tungsten oxide (WO3) thin films on FTO and corning substrates. SEM, XRD, Electrochemical Analyzer, and UVVis Spectrometer were used to analyze surface morphology, structural properties, electrochromic characteristics, and optical characteristics. At an 800 nm wavelength, a decrease in thin-film thickness increased optical transmittance from 87 % to 95 %. Furthermore, coloring efficiency was observed to vary with the thickness of thin films for both 500 nm and 375 nm are 10.34 cm2 C-1 to 18.57 cm2 C-1. In comparison to the high-thickness thin film, the lesser-thickness deposited nano-thin film has a higher diffusion coefficient. At 8 10-4 mbar partial pressure, the diffusion coefficients for the smaller and the high-thickness thin film are 7.28x10-14 cm2s?1 and 6.0x10-14 cm2s?1, respectively. The diffusion coefficient and coloring efficiency have been found to have a considerable influence on the thickness and surface-to-volume ratio, which could be important in electrochromic applications. 2022
G V A.R.; Shaik H.; Naveen Kumar K.; Imran Jafri R.; Abdul Sattar S.; Gupta J.; Doreswamy B.H.
Materials Today: Proceedings, Vol-80, pp. 817-823.
https://doi.org/10.1016/j.matpr.2022.11.134 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143698976&doi=10.1016%2fj.matpr.2022.11.134&partnerID=40&md5=78678c81faacde5897f33b9bcf0da803
G V A.R., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India, Research Center, Department of Physics, SJB Institute of Technology, VTU, Karnataka, Belgaum, 560060, India; Shaik H., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India, Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Naveen Kumar K., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India, Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Imran Jafri R., Department of Physics and Electronics, Christ University, Hosur Road, Bengaluru, 560029, India; Abdul Sattar S., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India; Gupta J., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India, Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Doreswamy B.H., Research Center, Department of Physics, SJB Institute of Technology, VTU, Karnataka, Belgaum, 560060, India
Fractional ReactionDiffusion Model: An Efficient Computational Technique for Nonlinear Time-Fractional Schnakenberg Model
Homotopy analysis method; Laplace transform; LiouvilleCaputo derivative; Schnakenberg model
In this article, the q-homotopy analysis transform method (q-HATM) is committed to finding the solutions and analyzing the gathered results for the nonlinear fractional-order reactiondiffusion systems such as the fractional Schnakenberg model. These models are well known for the modelling of morphogen in developmental biology. The efficiency and reliability of the q-HATM, which is the proper mixture of Laplace transform and q-HAM, always keep it in a better position in comparison with many other analytical techniques. By choosing a precise value for the auxiliary parameter ?, one can modify the region of convergence of the series solution. In the current framework, the investigation of the Schnakenberg models is implemented with exciting results. The acquired results guarantee that the considered method is very satisfying and scrutinizes the complex nonlinear issues that arise in the arena of science and technology. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Malagi N.S.; Prakasha D.G.; Veeresha P.; Prasannakumara B.C.
Lecture Notes in Networks and Systems, Vol-415, pp. 427-454.
Malagi N.S., Department of Studies in Mathematics, Davangere University, Davangere, Shivagangothri, 577007, India; Prakasha D.G., Department of Studies in Mathematics, Davangere University, Davangere, Shivagangothri, 577007, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru-560029, India; Prasannakumara B.C., Department of Studies in Mathematics, Davangere University, Davangere, Shivagangothri, 577007, India
Integrated Health Care Delivery and Telemedicine: Existing Legal Impediments in India
Consent; Digital healthcare; Medico-legal standards; Telemedicine
The technological innovation in the healthcare sector has contributed to the growth of telemedicine in India. Health services fall under State responsibility as per the Indian Constitution by virtue of Schedule 7although policy and planning framework are under the scope of Central government. Telemedicine cannot not work as an autonomous service, rather, ought to be subjected to different regulations having complex ethical, medico-legal manifestations. As far as India is concerned, Ministry of Health and Family Welfare of India (MoHFW) is the body responsible for initiating the policy of digitization of healthcare. However the point ishow far digital health services going appropriately in India. Based on NDHBs comprehensive architectural framework of Federated National Health Information System in January 2020 and as the pandemic strategy Medical Council of India and the NITI Aayog released new guidelines on telemedicine with respect to registered medical practitioners, this research needed to be checked. Thus, the examination was done in these aspects. Guidelines were revisited to see how the hospitals in Delhi and NOIDA function based on the records submitted in medical consultation given to patients using telemedicine. It is felt that telemedicine being a nebulous concept in India, it needs to be analyzed in the light of prospective opportunities it would offer. There is a need for collaborative approaches on digital health, revision in the prevailing legal and ethical frameworks, the clinical practices corresponding to standing medical guidelines. Also, it is found that there exist no uniform telemedicine practices balancing the privacy norms, medico-legal responsibility and regulatory standards. To arrive at conclusion, the best practices prevailed in other countries are examined and adopted. It is felt that the policies existing in telemedicine need to be bifurcated as digital consultation, digital photography, remote patient monitoring (RPM) separately. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Lecture Notes in Networks and Systems, Vol-490, pp. 527-534.
Mathew M., Associate Professor, School of Law, Christ (Deemed to be University) Delhi N.C.R, Delhi, India
A Potential Review on Self-healing Material Bacterial Concrete Methods and Its Benefits
Bacterial concrete; Building construction; Self-healing
Building plays an important role for survival of human being in a safe place to live and store basic requirements. The building can be constructed for any purpose and the architecture of each building (official, residential) differs according to the plan. Beyond the plan for a building, it is also significant in designing plans for the construction of bridges, dams, canals, etc. In all the construction, the key goal is the strength of a building which completely depends on the materials that are chosen for each work. Hence, it is essential to prefer high quality materials for the construction of a building and the major materials are such as cement, concrete, steel, bricks, and sand. Among these materials, the concrete is often used for construction which enables to harden the building by combining cement, sand, and water. The concrete looks like a paste that reinforce to prolong life of the building. In this paper, we discuss a review on the use of bacteria in concrete that has the ability of self-healing cracks in the building. The procedural process behind the activation and reaction of bacteria into concrete is studied with the benefits of this process. This bacterial concrete usage assures to enhance the property of durability and but still it is yet to be introduced in the industries. Hereby, we review the recent research works undergone in concrete using bacteria. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Lecture Notes in Civil Engineering, Vol-284, pp. 1087-1110.
Likhit M.L., Department of Civil Engineering, Christ (Deemed to Be University), Bengaluru, India; Alex J., Department of Civil Engineering, Christ (Deemed to Be University), Bengaluru, India
Modeling the Intention to Use AI Healthcare Chabots in the Indian Context
AI Healthcare chatbots; Conceptual model; Indian Context; Intention to use
Covid-19 has accelerated the need and use of artificial Intelligence-based healthcare Chabots. Penetration of the internet, smartphone, computational capability and machine learning technology brings healthcare services close to the patients. The penetration of AI healthcare Chatbot technology worldwide is on the rise. However, the healthcare ecosystem in India is unique and poses challenges in the adoption of healthcare chatbots. The demographic characteristics, economic conditions, diversity, belief systems on health-seeking, and alternative medical practices play a role in accepting and using chatbots. In this study, we attempt to model the factors influencing the intention and the purpose of using the chatbot. Through a literature review, we identify the variables related to the adoption of healthcare chatbots. We then focus on the more relevant concepts to the Indian context and develop a conceptual model. Through cases and literature, we frame the propositions of the study. We look at the awareness of chatbot features, perception towards the chatbot, trust and mistrust of the healthcare system, the doctors and the chatbots, health-seeking behavior, and the belief in traditional, complementary, and alternative medicine prevalent in India. This study contributes by developing an initial conceptual model for healthcare chatbots adoption in the Indian context. In the future, we plan to operationalize the study and test the propositions through an elaborate survey to validate the model empirically. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Nagarathinam A.; Chellasamy A.; Elangovan N.; Rengasamy S.
Lecture Notes in Networks and Systems, Vol-573 LNNS, pp. 657-666.
Nagarathinam A., School of Business and Management, Christ University, Bengaluru, India; Chellasamy A., School of Business and Management, Christ University, Bengaluru, India; Elangovan N., School of Business and Management, Christ University, Bengaluru, India; Rengasamy S., School of Business and Management, Christ University, Bengaluru, India
Evaluation of Maximum Bending Stiffness of Stranded Cables with Refined Kinematic Relations
Effective stiffness; Helical cable assembly; Kinematic relations
The mechanical response of a helically stranded cable depends on the effective stiffness offered by the collective assembly of its constituent wires. This can vary between two extreme conditions, namely a monolithic state, also known as the stickslip state, wherein all the wires in the cable behave as a single unit with no relative movements among themselves, offering the maximum stiffness for the cable. In the other extreme condition, all the wires are free to move among themselves, with no frictional holding among them, thus offering the minimum stiffness. This paper reviews the various mathematical models that are available for the estimation of maximum bending stiffness and brings out the need for considering a vital parameter known as the wire stretch effect that has been neglected by many authors till date. The consequent fundamental changes that occur in the basic kinematic relations are brought out and refined expressions for the internal wire forces and moments are established for the first time in the coupled axial-bending analysis. Further, the shear displacement of the wire due to the stretch has also been included in the wire normal and binormal shear forces. A single-layered cable with core-wire contact has been considered for analysis and the numerical results are evaluated with these new inclusions and are compared with the published results. It is hoped that the refined model suggested in this paper for the accurate estimation of the maximum stiffness, will pave way for more reasonable cable analysis in the subsequent slip stages. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Lecture Notes in Mechanical Engineering, pp. 353-366.
Stability Analysis ofSalt Fingers forDifferent Non-uniform Temperature Profiles inaMicropolar Liquid
Double diffusive convection; Micropolar fluid; Non-uniform temperature gradients; Salt finger
This paper describes the linear stability analysis of salt finger convection for different non-uniform temperature profiles by keeping the solutal concentration uniform throughout the system. The system consists of two parallel plates separated by a thin layer of micropolar liquid with infinite length, in which the system is heated and soluted from above the plate. Normal mode techniques are used to convert the system of partial differential equations into ordinary differential equations; further, Galerkian method is introduced to get the eigenvalue for isothermal, permeable with no-spin boundary conditions. The study also explains the effect of different micropolar parameters on the onset of convection. The phase of temperature flow for different boundary conditions explains the graphical solution of the energy equation and its gradients. It is shown that non-uniform temperature profiles, diffusivity ratio, coupling parameter, and solutal Rayleigh number influence the stability of the system. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Mary Daniel N.; Lingamneni V.; Tom T.; Arun Kumar N.
Lecture Notes in Mechanical Engineering, pp. 371-379.
Mary Daniel N., Research Scholar, Department of Mathematics, CHRIST(Deemed to be University), Bengaluru, India; Lingamneni V., Department of Mathematics, Sir MV PU College, Karnataka, India; Tom T., Department of Commerce and Management, CHRIST(Deemed to be University), Lavasa, India; Arun Kumar N., School of Engineering and Technology, CHRIST(Deemed to be University), Bengaluru, India
Applicability of Search Engine Optimization for WordPress (WP) Website
AdWords; Information retrieval; P-Purchase; Quality Score; SERP
91 percent of online experiences begin with a search, according to the Content Marketing Institute. That is the hunt for an explanation. As a result, search marketing is a critical practice for any businesses looking to grow and improve. Marketers and clients that paid for adverts began researching SEO and SEM at that time. This pursuit plans to give knowledge into the paid and unpaid procedures of search engine marketing (SEM) and what falls under its umbrella including search engine optimization (SEO) and pay per click (PPC). So in this exploration work, we feel the most ideal approach to utilize a web search tool SEM, is such a method of Internet showcasing that incorporates the utilization of web crawler result pages to advance business sites. SEM was earlier used as a protective gadget for anything to be done with the online search marketing field and it was girdled along with SEO. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Singh D.; Shivamurthaiah M.; Samanta D.; Bhattacharya A.; Dutta S.
Smart Innovation, Systems and Technologies, Vol-316, pp. 227-237.
Singh D., Deptartment of CA, ITER, SOA Deemed to be University, Odisha, Bhubaneswar, India; Shivamurthaiah M., Department of Computer Science and Engineering, Brindavan College of Engineering, Bengaluru, India; Samanta D., CHRIST (Deemed to Be University), Karnataka, Bengaluru, India; Bhattacharya A., Institute of Engineering Management, Kolkata, India; Dutta S., Institute of Engineering Management, Kolkata, India
Parametric Study on Compaction Characteristics of Clay Sand Mixtures
Artificial soils; Atterberg limits; Compaction characteristics; Natural soils; Percentage fines
The behaviour of fine-grained soils can be attributed to their mineral composition and the amount of fines present in them. The present study aims to determine the effect of mineral composition and quantity of fines on the Atterberg limits and compaction characteristics and to determine the correlation between them. Two types of fine-grained artificial soil mixtures were prepared in the laboratory representing kaolinitic and montmorillonitic mineral compositions.The amount of fines was varied at 10% intervals, from 50 to 100%. The Atterberg limits like liquid limit, plastic limit, shrinkage limit, and compaction characteristics like maximum dry density (MDD) and optimum moisture content (OMC) for two compaction energy levels, i.e. standard proctor (SP) and modified proctor (MP) tests, were determined. The correlations were developed between percentage fines and Atterberg limits and similarly between percentage fines, Atterberg limits, and compaction characteristics for artificial mix proportions. The developed correlations were used to predict the properties of natural soil samples, and the predicted and actual values are compared. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Lecture Notes in Civil Engineering, Vol-296, pp. 141-152.
Yogeshraj Urs C., Department of Civil Engineering, The National Institute of Engineering, Mysuru, 570008, India, Department of Civil Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, 560074, India; Prasanna H.S., Department of Civil Engineering, The National Institute of Engineering, Mysuru, 570008, India
Dynamic response of parabolic reflector antenna subjected to shock load and base excitation considering soil-structure interaction
Base excitation; Dynamic response; Response Spectrum; Soil Structure Interaction; Transient Response
Parabolic reflector antenna structures are subjected to dynamic loads along with normal loads. Determining the dynamic response of the antenna structure subjected to short-duration loads such as earthquake loads and shock loads considering soil-structure interaction is very important to ensure the safety and functionality of the antenna system resting on soft soil. A 7.2m diameter parabolic reflector antenna with a 90-degree elevation orientation is considered for the study. A triangular pulse of shock load is applied to the antenna at different locations and responses are estimated to understand the coupling effect of soil and structure on frequencies, damping, and response. Transient response analysis is carried out. Earthquake analysis is also carried out as per IS 1893 part 4:2016 considering Zone V site location. The foundation soil below the antenna is considered homogeneous with shear wave velocity (Vs) of 100m/sec. A direct method of analysis considering soil-structure interaction as per ASCE 4-16 is performed. FEM software MSC NASTRAN is used for analysis. The absorbing boundary conditions are used to reflect radiation damping. The depth-wise stress variation in foundation soil is evaluated. The results of free vibration analysis, transient response analysis with fixed base and SSI are compared. 2022 the Author(s).
Gullapalli V.; Raghunandan K.R.; Reddy G.R.
Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems - Proceedings of the 8th International Conference on Structural Engineering, Mechanics and Computation, 2022, pp. 132-137.
Gullapalli V., Department of Civil Engineering, Christ University, Bangalore, India, ECIL, Hyderabad, India; Raghunandan K.R., Department of Civil Engineering, Christ University, Bangalore, India; Reddy G.R., BARC, HBNI, Mumbai, India
Machine Learning based Plant Disease Identification by using Hybrid Nae Bayes with Decision Tree Algorithm
Artificial Intelligence; Convoluted Neural Networks; Decision Tree; Machine Learning; Nae Bayes
Artificial intelligence or machine learning as a domain started as a distinct domain marketplace for enthusiasts. Over an extended period of time, this has evolved into an industry with boundless potential. This is the focal point of a plethora of technologies like real-time analytics, deep learning in computer science. It's inherent to various customer needs such as fault detection, home automation, health monitoring devices as well as appliances, and multiple RPM devices Artificial intelligence which has been tested and trained to recognize and determine a plethora of flaws and inaccuracies. This could be intriguing procedures in day-to-day applications. An unimaginable number of prediction models, packages, libraries as well as sensors are utilized to sieve through flaws with the aid of mobile app development and other multispectral sensors. These trendy devices have become ever present and a part of our extensive routine. The demand for dependable and efficient algorithms is satisfied while implementing these devices. The objective primarily dictates emphasis on the prediction of plant diseases in the agricultural arena in reality by providing aid in the field of agriculture, and industry. In this case, the device incorporates a database which stores and keeps track of previously detected flaws or defects. In addition, the history of detected plant infections is maintained in an online repository. This can help with the forecast of the defects within the gadgets that are to be enhanced. Furthermore, the suggested approach of this text inculcates the invigilation of every leaf in the plant via machine learning model. Hence, this approach of implementation limits interaction of humans with the interface and it detects disease ridden plants efficiently with accuracy. The plant disease identification problem is to solve the proposed hybrid Nae Bayes with Decision Tree algorithm. The proposed model provides higher accuracy level compare to the regular model. 2023 IEEE.
Yetukuri N.K.; Maddali K.; Jayapandian N.
Proceedings - 5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023, pp. 852-858.
Institute of Electrical and Electronics Engineers Inc.
Yetukuri N.K., Christ (Deemed to Be University), Department of Cse, India; Maddali K., Christ (Deemed to Be University), Department of Cse, India; Jayapandian N., Christ (Deemed to Be University), Department of Cse, India
Hunter Prey Optimization for Optimal Allocation of Photovoltaic Units in Radial Distribution System for Real Power Loss and Voltage Stability Optimization
Active power loss minimization; Distribution generation; Hunter-prey optimization; Radial distribution system; Voltage stability
Renewable Energy (RE) based Distribution Generation (DG), is a widely accepted eco-friendly alternative to conventional energy production. On the basic note, a DG is used to provide a part of or all of a customers real power demand and/or as a standby supply, and of all various existing types of DG technologies, Photovoltaic (PV) type distribution generation is considered for the study. The location of distributed generation is defined as the installation and operation of electric power generation modules connected directly to the distribution network or the network on the customer side of the meter, hence signifying the optimal location and size of the DGs used. This paper proposes a new algorithm of Hunter-Prey Optimization (HPO) to determine the optimal allocation of PV integration in the radial distribution systems (RDS). HPO is a new population-based algorithm inspired by the hunting behavior of a carnivore. The optimal sizing and siting of the PVs are determined by the proposed algorithm of HPO and are tested in MATLABR2021b on standard IEEE-33 and 69 test bus systems. On the basic of comparative study with literature, HPO is performed efficiently for solving multi-variable complex optimization problem. Also, the performance of RDSs is significantly improved with optimal PV allocations. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Lecture Notes in Networks and Systems, Vol-608, pp. 817-825.
Lahari P.S., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560074, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560074, India
An Efficient Machine Learning Approach: Analysis of Supervised Machine Learning Methods to Forecast the Diamond Price
Diamonds; Estimated values; Machine learning; Regression Models and Cross validation
Diamond, a found natural process compound of carbon, is one of the hardest and most immensely expensive material known to men, especially more to women. Investments in expensive gems like diamonds are in significant demand. The rate of a diamond, nevertheless, is not as easily calculated as the value of either gold or platinum since so many factors must be taken into account. Because there is such a broad range of diamond dimensions and qualities; as a result, being able to make reliable price predictions is crucial for the diamond industry. Although, making accurate predictions is challenging. In this study, we implemented multiple machine learning techniques employed to the challenge of diamond price forecasting's such as Linear Regression, Random Forest, Decision Tree Random Forest, Cat-Boost Regressor and XGB Regressor. This article's goal is to develop an accurate model for estimating diamond prices based on its characteristics such as weighting factor, cut grade, and dimensions. We compared the sum of estimated values and test values of predicted values with overestimated, underestimated and exact estimations. We applied cross-validation to calculate how much the model deviates from the actual when faced with a difference between the training set and the test set. We predicted values side by side. We performed a comparative analysis of supervised machine learning models with other models to evaluate the model accuracy and performance metrics. The Study's experimental findings show that out of all the supervised machine learning models, Random Forest performs well with R2score and Low RMSE and MAE values and CV Score. 2023 IEEE.
Basha M.S.A.; Oveis P.M.; Prabavathi C.; Lakshmi M.B.; Sucharitha M.M.
2023 International Conference for Advancement in Technology, ICONAT 2023
https://doi.org/10.1109/ICONAT57137.2023.10080618 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153282231&doi=10.1109%2fICONAT57137.2023.10080618&partnerID=40&md5=1b4cedfa4958cc1932e36421c929fccb
Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management, Deemed to Be University, Bengaluru, India; Oveis P.M., GITAM School of Business, Gandhi Institute of Technology and Management, Deemed to Be University, Bengaluru, India; Prabavathi C., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Lakshmi M.B., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India; Sucharitha M.M., Christ (Deemed to Be University), Department of Professional Studies, Bengaluru, India
Experimental Investigations on Turbine-Generator Shaft Under Subsynchronous Resonance
Damper; Finite element method; Modal analysis; Rotor dynamics; Subsynchronous resonance; Turbo-generator shaft
Energy exchange takes place between turbine and generator in the power system during subsynchronous resonance (SSR) which leads to torsional interaction between the shafts. Resonance in the power system is caused by the series capacitors connected to the transmission line. This paper aims to present an electromechanical approach to analyse and interpret subsynchronous resonance using the Finite element method. Subsynchronous resonance is introduced in two test rigs consisting of turbine, generator, shaft, and coupler with capacitors. Experiments and simulations (torque analysis and frequency response analysis) are conducted in test rigs and ANSYS workbench 16.0. Moreover, a spring damper is modelled to improve the stability of the shaft. From the results, it is clear that mechanical stress is increased when capacitors are connected to the test rig. A spring damper is installed at the point where the deformation is high. The damper reduced the stress and the vibration. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Manikandan P.; Sushanth G.; Haneesh K.M.
Lecture Notes in Electrical Engineering, Vol-977, pp. 693-703.
Manikandan P., Department of EEE, CHRIST (Deemed to be University), Bengaluru, India; Sushanth G., Department of ECE, CHRIST (Deemed to be University), Bengaluru, India; Haneesh K.M., Department of EEE, CHRIST (Deemed to be University), Bengaluru, India
A Review of Deep Learning Methods in Cervical Cancer Detection
Cervical Cancer; Deep Learning; Medical Image Classification
Cervical cancer is one of the most widespread and lethal malignancy that affects women aged 25 to 55 across the globe. Early detection of cervical cancer reduces burden of living and mortality drastically. Cervical cancer is caused through human papillomavirus transmitted sexually. Since the hereditary aspect is absent in cervical cancer, it can be cured completely if diagnosed early. Cervix cell image analysis is gold standard for classifying cervical cancer. Also known as pap smear, this histopathological test can provide dependable, and accurate diagnostic support. The current study examines the most recent research breakthroughs in deep learning models to classify cervical cancer. Three benchmark datasets are comprehensively described. Selective key classification models were implemented and comparative analysis was conducted on their performance. The findings of this study will allow researchers, publishers, and professionals to examine developing research patterns. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Lecture Notes in Networks and Systems, Vol-648 LNNS, pp. 624-633.
Lalasa M., CHRIST (Deemed to be University), Kengeri, Bangalore, 560075, India; Thomas J., CHRIST (Deemed to be University), Kengeri, Bangalore, 560075, India
SemKnowNews: A Semantically Inclined Knowledge Driven Approach for Multi-source Aggregation and Recommendation of News with a Focus on Personalization
News recommendation; Ontology; Personalization; Transformers
The availability of digital devices has increased throughout the world exponentially owing to which the average reader has shifted from offline media to online sources. There are a lot of online sources which aggregate and provide news from various outlets but due to the abundance of content there is an overload to the user. Personalization is therefore necessary to deliver interesting content to the user and alleviate excessive information. In this paper, we propose a novel semantically inclined knowledge driven approach for multi-source aggregation and recommendation of news with a focus on personalization to address the aforementioned issues. The proposed approach surpasses the existing work and yields an accuracy of 96.62% 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Chhatwal G.S.; Deepak G.; Sheeba Priyadarshini J.; Santhanavijayan A.
Communications in Computer and Information Science, Vol-1788 CCIS, pp. 263-274.
Chhatwal G.S., Department of Electronics and Communication Engineering, University Institute of Engineering and Technology, Panjab University, Chandigarh, India; Deepak G., Department of Computer Science and Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India; Sheeba Priyadarshini J., Department of Data Science, CHRIST (Deemed to be University), Bangalore, India; Santhanavijayan A., Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, Tiruchirappalli, India
Gender Identification of Silkworm Pupa and Automated Cocoon Cutting Machine for Benefiting the Sericulture Grainages in Karnataka
Cocoon Cutting Machine; Convolution Neural Networks; Efficient network; Grainages; VGG 16
Sericulture is the backbone of a mediocre farmer family in India. Sericulture provides a major financial support to the farmers with minimum infrastructure and maintenance. Farmers collect the seed cocoons from the grainages also known as seed factories. Grainages produce high quality seeds by mating the male and female cocoons. There is a huge demand of labor in these seed factories to process cocoons. The process includes deflossing, removal of pupa from the cocoon, gender identification, mating, storage of seeds, dispersal of eggs to farmers. Removal of pupa from the cocoon requires the labor to cut open a small portion of the cocoon and remove the pupa from inside. Presently in India, most of the grainages induce female laborers to perform the above job. Pupa is removed from the cocoon by cutting the cocoon using a stainless-steel blade. Each labour is given certain amount of cocoons to cut in a day. This requirement would force the laborers to perform the job at a higher speed which poses a threat of getting wounded by the blade. Hence the process of removal of pupa from the cocoon and sex identification of pupa to be automated. Thereby it is important to automate the possible processes in the grainages which could reduce human intervention and increase productivity. Bivoltaine hybrid race of silkworm namely FC1 and FC2 are the varieties under consideration for the research. Theses silkworm varieties are majorly used in grainages for seed production and hence the proposed machine was introduced. This semi automated cocoon cutting machine identifies the gender of the cocoon and later cut the required amount of cocoons minimally. This process would help in maintaining the maximum reliability of silk thread. Thereby the silkworm gender identification has to be non destructive. Image classification were done using Convolution Neural Network (CNN), Visual Geometry Group 16 (VGG16) and Efficient net methods, among which the latter produced highest accuracy. The Efficient Net method has produced the validation accuracy of 98.99% for FC1 and 99.9 for FC2 variety. An automated cocoon cutting machine was developed to cut open the cocoons at a high speed. It is important to automate the possible processes in the grainages which could reduce human intervention and increase productivity. This paper focuses on automating the gender identification and removal of the pupa from the cocoon. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Thomas J.; Reddy V.; Kumai K.; Aswathy S.U.
Lecture Notes in Networks and Systems, Vol-648 LNNS, pp. 372-381.
Thomas J., Department of CSE, CHRIST (Deemed to be University), Bangalore, India; Reddy V., Department of CSE, CHRIST (Deemed to be University), Bangalore, India; Kumai K., Department of CSE, CHRIST (Deemed to be University), Bangalore, India; Aswathy S.U., Marian Engineering College, Kerala, Kazhakkoottam, India