首页期刊导航|Journal of The Institution of Engineers (India), Series B. Electrical eingineering, electronics and telecommunication engineering, computer engineering
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Journal of The Institution of Engineers (India), Series B. Electrical eingineering, electronics and telecommunication engineering, computer engineering
Springer
Journal of The Institution of Engineers (India), Series B. Electrical eingineering, electronics and telecommunication engineering, computer engineering

Springer

年刊

2250-2106

Journal of The Institution of Engineers (India), Series B. Electrical eingineering, electronics and telecommunication engineering, computer engineering/Journal Journal of The Institution of Engineers (India), Series B. Electrical eingineering, electronics and telecommunication engineering, computer engineeringEI
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    Identifying Subtypes of Acute Lymphoblastic Leukemia Using Blood Smear Images: A Hybrid Learning Approach

    Roopashree NayakAnush BekalMalini SuvarnaDayakshini Sathish...
    425-436页
    查看更多>>摘要：Leukemia is a type of blood cancer that affects a large number of people worldwide. Detecting and classifying leukemia is crucial in determining the treatment plan for patients and improving their chances of survival. The design of a hybrid model comprising MobileNet as a feature extractor and Support vector machine algorithm to classify the leukemia cells into four classes: benign, pre-B, early pre-B, and pro-B. The confusion matrix calculates various performance metrics such as Fl score, accuracy, recall, and precision in this method. The experimental results show that the suggested model performs better than the existing state-of-the-art models for leukemia cell classification, obtaining a remarkable existing state-of-the-art model for leukemia cell classification, obtaining an accuracy in classification of 99.3%. The proposed approach can aid in the early detection of leukemia, leading to better treatment outcomes and improved patient survival rates.
      原文链接:
    • NETL
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    A Fault-Tolerant Inverter Using a New Fuzzy-Based Detection Algorithm

    Somesh MohapatraBibhu Prasad Panigrahi
    437-457页
    查看更多>>摘要：With the increasing acceptance on the role of inverters in the drive control applications, the concern for the reliability of the system also has increased due to the addition of the switching device in the control system, which makes it more prone to disturbances. This renders the use of inverter based control systems unreliable for critical applications. The proposed model intends to nullify this unreliability. The following research work aims at designing a 3-phase inverter tolerant to the internal faults of the inverter and thus providing the smooth operation of the power system. A new strategy, based on the change pattern of the mean of the difference of the line currents, is proposed for detecting inverter switch open and switch short faults. A fuzzy-based change detection mechanism is designed with other current parameters taken as triggering parameters. Subsequently a phase redundant inverter is modelled based on the proposed fault detection technique. The inverter takes advantage of a redundant leg to maintain the required power capability in the emergence of a fault. The inverter is efficient in detecting both switch short and switch open faults, classifying the faulty switches and performing the fault tolerant measures to obtain the pre-fault parameters status.
      原文链接:
    • NETL
    • NSTL

    Optimizing Image Retrieval in Cloud Servers with TN-AGW: A Secure and Efficient Approach

    N. P. PonnuvijiG. NirmalaM. L. Sworna KokilaS. Indra Priyadharshini...
    459-473页
    查看更多>>摘要：The increasing use of cloud-based image storage and retrieval systems has made ensuring security and efficiency crucial. The security enhancement of image retrieval and image archival in cloud computing has received considerable attention in transmitting data and ensuring data confidentiality among cloud servers and users. Various traditional image retrieval techniques regarding security have developed in recent years but they do not apply to large-scale environments. This paper introduces a new approach called Triple network-based adaptive grey wolf (TN-AGW) to address these challenges. The TN-AGW framework combines the adaptability of the Grey Wolf Optimization (GW0) algorithm with the resilience of Triple Network (TN) to enhance image retrieval in cloud servers while maintaining robust security measures. By using adaptive mechanisms, TN-AGW dynamically adjusts its parameters to improve the efficiency of image retrieval processes, reducing latency and utilization of resources. However, the image retrieval process is efficiently performed by a triple network and the parameters employed in the network are optimized by Adaptive Grey Wolf (AGW) optimization. Imputation of missing values, Min-Max normalization, and Z-score standardization processes are used to preprocess the images. The image extraction process is undertaken by a modified convolutional neural network (MCNN) approach. Moreover, input images are taken from datasets such as the Landsat 8 dataset and the Moderate Resolution Imaging Spectroradiometer (MODIS) dataset is employed for image retrieval. Further, the performance such as accuracy, precision, recall, specificity, F1-score, and false alarm rate (FAR) is evaluated, the value of accuracy reaches 98.1%, the precision of 97.2%, recall of 96.1%, and specificity of 917.2% respectively. Also, the convergence speed is enhanced in this TN-AGW approach. Therefore, the proposed TN-AGW approach achieves greater efficiency in image retrieving than other existing approaches. This research contributes to the enhancement of secure and efficient cloud-based image retrieval systems, addressing modern challenges in data management and security.
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    EHRT-RWB: A Novel Ensemble Hybrid Recurrent Transformer for Multimodal Heart Disease Risk Prediction

    D. Shiny IreneJ. Selvin Paul PeterNivetha SankarasubramanianS. Praveen Krishnakanth...
    475-486页
    查看更多>>摘要：The disease that contains the highest mortality and morbidity across the world is cardiac disease. Annually millions of people are affected and deaths take place due to cardiac diseases worldwide. There are various diagnostic measures for the prediction of heart diseases. However, these techniques consist of some errors, delays, and high-cost consumption. These limitations affect the patients in many ways such as inadequate medication during the right time, affecting their mental health, affecting their physical health, and sometimes death. Hence, there is a need for an effective automatic multimodal disease risk prediction mechanism related to heart diseases. Therefore, this paper proposes the Ensemble hybrid recurrent transformer-based random wolf bird (EHRT-RWB) algorithm. The details of the patient acquired as input by the heart disease dataset are preprocessed initially and classification is performed with the EHRT-RWB methodology. The RNN method extracts reliable features and helps to study the temporal sequence data. Time series classifications are maintained with the help of the transformer method and the ensemble method integrates advanced cutting-edge technologies for performance augmentation. Finally, the RWB algorithm selects and tunes the hyperparameters of the developed classification method. Experiments conducted using certain performance assessment measures and the comparison with existing strategies show the method achieves superior cardiac disease detection performance with the highest accuracy score of 98.7%.
      原文链接:
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    Optimal Planning of Transmission Network for Evacuation of Power from High Capacity Generators in Thermal Power Stations Replacing Lower Capacity Units

    Rajeev Kumar ChauhanMohan Manohar DhokeSanjay Kumar MauryaDurg Singh Chauhan...
    487-508页
    查看更多>>摘要：The optimal planning of the transmission network becomes more challenging whenever a larger capacity-generating unit replaces the aged lower capacity-generating units at power-generating stations. This paper presents optimal planning for the transmission network to evacuate power from a newly proposed supercritical unit of 660 MW and an existing 210 MW unit. The proposed 660 MW unit will be installed in the vacant space after the decommissioning and dismantling of four aged generating units (2*50 MW and 2*120 MW). The proposed transmission network planning considered the construction of new 400 kV and 220 kV lines, as well as the reconfiguration of the existing switchyard at the thermal power station. This planning also considered the construction of LILO circuits for 400 kV and 220 kV lines and the installation of ICT infrastructure according to the technical feasibility of the five proposed alternatives. The loading of the existing and newly planned lines is kept within prescribed limits to ensure the system's reliability under N-1 contingency conditions. The load flow study evaluates the real and reactive losses, charging MVAR, and shunt MVAR for the interconnected lines. Moreover, the simulation studies validate the technical and economic aspects to fulfill the planning criteria for N-1 contingency analysis.
      原文链接:
    • NETL
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    3,4-Quasirung Fuzzy Based Prospect Theory Approach for Identification of Suitable Microgrid Scenario

    Sweta SinghNeeraj KanwarDivya Zindani
    509-519页
    查看更多>>摘要：In the present work, 3,4-Quasirung fuzzy TOmada de Decisao Iterativa Multicriterio (TODIM) has been proposed as a novel decision-making framework. These fuzzy sets have been employed to model the linguistic preferences which are aggregated using quasirung fuzzy weight average aggregation operator. The TODIM approach has been employed to rank the considered scenarios. The application of the proposed approach is exhibited through a case study on microgrid for rural electrification in India. Sixteen possible microgrid scenarios have been evaluated considering technical, social, environmental, and economic performance measures. The microgrid scenarios have been framed from different combinations of diesel generator (DiG), photovoltaics (PV), battery, converter, fuel cell and wind turbine. Both grid connected and islanded modes have been considered for each possible combination. With the help of average dominance score the assessment of highest score is revealed for the PV/DiG-battery-converter combination which is followed with PV/WT/DiG-battery-converter microgrid scenario. Sensitivity analysis revealed robustness of the deduced ranking results.
      原文链接:
    • NETL
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    An Approach to Identify the Complete Reduplicated Multiword Expressions in Digital Bengali Text

    Subrata Pan
    521-537页
    查看更多>>摘要：This work presents an approach recognizing the complete reduplication of bi-word multiword expressions in a robust Bengali dataset. Reduplication, denoting the repetition of any language unit in linguistic studies, is a crucial aspect of identifying multiword expressions. The proposed method performs in two stages: the first stage includes pre-processing activities, and the second involves identifying bi-gram word pairs using two different methods and a comprehensive validation to find the accuracy of the proposed system. The proposed approach, employing the Levenshtein distance method, achieves a significant accuracy of 99% for three categories of bi-gram combinations of complete reduplicated multiword expressions. It exhibits a notable improvement of 1%, surpassing the result of the related work.
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    Investigation of Fatigue and Drowsiness of Welders and Goldsmiths Based on Entropies and Complexity Parameters of EOGs: A Statistical Approach

    Ashis Kumar DasPrashant KumarSuman Haider
    539-556页
    查看更多>>摘要：Exploring various physical conditions and physiological states necessitates using bio-signals. Precisely tracking both mental and physical fatigue in individuals is feasible. This research delves into fatigue and accompanying drowsiness among volunteer welders and goldsmiths, addressing a societal aspect that has been overlooked. The fatigue experienced by welders in India is a complex problem influenced by factors such as working conditions, job demands, and individual resilience. Goldsmiths often operate in cramped workshops, facing challenges related to working conditions, prolonged hours, and mental and physical stress due to the absence of a rotation system. Insufficient infrastructure and safety measures exacerbate physical and mental fatigue. Entropies and complexity parameters serve as vital metrics for gauging fatigue levels. Electrooculogram (EOG) time series from welders and goldsmiths were scrutinized over two sessions, revealing significant differences via parametric t-tests and non-parametric Wilcoxon tests. The study contrasts various entropies and complexity parameters across 80 participants, drawing conclusions based on a hypothesis tested at a 5% significance level. A Bland-Alt-man plot evaluated the agreement between frequency and time domain measurements and other complexity metrics derived from data collected in two sessions daily. The reliability of the experimental approach was assessed using the intraclass correlation coefficient (ICC). These findings provide valuable insights into understanding fatigue and drowsiness, particularly among specific occupational groups.
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    Experimental Investigation on Insulation Performance of SO_2/ CO_2 Gas Mixtures

    Akhilesh Kumar PandeyPushpendra SinghMohd. Shahnawaz KhanJitendra Kumar Singh...
    557-568页
    查看更多>>摘要：In an effort to replace the use of SF_6 gas in high-voltage equipment, research has been conducted on more environmentally favorable alternative gases to this potent greenhouse gas. In the present study, the SO_2-CO_2 gas mixture is selected among all alternatives, including SF_6, with the requirement to meet features such as reducing ozone depletion potential, global warming potential, being chemically stable, non-toxic, and having a having a boiling point of -15 ℃. Furthermore, aspects like material compatibility-based electrical properties such as dielectric constant, cost, and environmental impacts were taken into consideration. Consequently, a gas mixture of 30% SO_2 and 70% CO_2 was finally chosen. In this paper, power frequency breakdown voltage was experimentally measured under a quasi-uniform field while varying gas pressure from 0.2 to 2 bar for 5 mm and 10 mm of electrode gap, respectively. Subsequently, a synergistic coefficient is calculated for this mixture. The obtained results of PFBDV and synergism coefficient for a 30% SO_2 and 70% CO_2 gas mixture were compared with mixtures like SF_6/N_2, CF_3I/N_2/CO_2, C_3F_8/CO_2, C_4F_7N/CO_2, R12/air/N_2, and c-C_4F_8O/CO_2/N_2. Consequently, it emerged that the insulating characteristics of 30% SO_2 and 70% CO_2 are better than most of the other alternatives, along with considerable advantages like negligible environmental impact, low cost, better material compatibility, and low toxicity. These systematic investigations predominantly indicate that a gas mixture containing 30% SO_2 and 70% CO_2 can be employed as a substitute for SF_6 in high-voltage gas-insulated equipment.
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    • NETL
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    Appropriate Mother Wavelet Selection with Optimum Level of Disintegration for Analyzing Various Faults of Induction Motor Under Variation in Motor Loading

    Arunava Kabiraj ThakurAlok MukherjeePalash Kumar KunduArabinda Das...
    569-591页
    查看更多>>摘要：Current signature analysis is used successfully for induction motor fault detection. A common mathematical tool for assessing fault signals is the wavelet transform. However, choosing the right mother wavelet is the main challenge with wavelet analysis. Additionally, selecting the best level of disintegration is crucial since as the level of disintegration rises, so do the complexity and computation time. In order to get a result that is noticeably accurate while maintaining a minimal degree of complexity, we have developed a system for appropriate mother wavelet selection and level of disintegration for current based fault analysis of 3 phase induction motor. Here, we have used mother wavelets from the symlets (Sym), coiflets (Coif), and daubechies (db) groups to assess the data and deconstruct 3-phase induction motor fault current signals up to 5 levels. The loading of motor has also been varied in 3 distinct steps. We have also examined the four main quality metrics-signal to noise ratio (SNR), correlation coefficient (CC), peak signal to noise ratio (PSNR) and root mean square error (RMSE)-and came to the conclusion that Symlet5 (Sym5) mother wavelet at 4th level of disintegration was the best option.
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    • NETL
    • NSTL