Punjab Engineering College

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Punjab Engineering College
Short name
PEC
Country, city
India, Chandigarh
Publications
1 922
Citations
23 190
h-index
58
Top-3 organizations
Panjab University
Panjab University (165 publications)
Chandigarh University
Chandigarh University (61 publications)
Top-3 foreign organizations
King Khalid University
King Khalid University (19 publications)
University of Malaysia, Perlis
University of Malaysia, Perlis (15 publications)
Sunway University
Sunway University (11 publications)

Most cited in 5 years

Nandwani P., Verma R.
2021-08-28 citations by CoLab: 399 Abstract  
Social networking platforms have become an essential means for communicating feelings to the entire world due to rapid expansion in the Internet era. Several people use textual content, pictures, audio, and video to express their feelings or viewpoints. Text communication via Web-based networking media, on the other hand, is somewhat overwhelming. Every second, a massive amount of unstructured data is generated on the Internet due to social media platforms. The data must be processed as rapidly as generated to comprehend human psychology, and it can be accomplished using sentiment analysis, which recognizes polarity in texts. It assesses whether the author has a negative, positive, or neutral attitude toward an item, administration, individual, or location. In some applications, sentiment analysis is insufficient and hence requires emotion detection, which determines an individual’s emotional/mental state precisely. This review paper provides understanding into levels of sentiment analysis, various emotion models, and the process of sentiment analysis and emotion detection from text. Finally, this paper discusses the challenges faced during sentiment and emotion analysis.
Sahota J.K., Gupta N., Dhawan D.
Optical Engineering scimago Q2 wos Q4
2020-06-25 citations by CoLab: 323 Abstract  
Fiber Bragg grating has embraced the area of fiber optics since the early days of its discovery, and most fiber optic sensor systems today make use of fiber Bragg grating technology. Researchers have gained enormous attention in the field of fiber Bragg grating (FBG)-based sensing due to its inherent advantages, such as small size, fast response, distributed sensing, and immunity to the electromagnetic field. Fiber Bragg grating technology is popularly used in measurements of various physical parameters, such as pressure, temperature, and strain for civil engineering, industrial engineering, military, maritime, and aerospace applications. Nowadays, strong emphasis is given to structure health monitoring of various engineering and civil structures, which can be easily achieved with FBG-based sensors. Depending on the type of grating, FBG can be uniform, long, chirped, tilted or phase shifted having periodic perturbation of refractive index inside core of the optical fiber. Basic fundamentals of FBG and recent progress of fiber Bragg grating-based sensors used in various applications for temperature, pressure, liquid level, strain, and refractive index sensing have been reviewed. A major problem of temperature cross sensitivity that occurs in FBG-based sensing requires temperature compensation technique that has also been discussed in this paper.
Mehta A., Ashish D.K.
Journal of Building Engineering scimago Q1 wos Q1
2020-05-01 citations by CoLab: 233 Abstract  
The vast emission of greenhouse gases from industrial wastes is a global problem. The non-biodegradable nature of industrial wastes like silica fume , glass, bottom ash, and rubber tyres increases the severity of the problem. Past studies suggest that the use of waste materials in the cement and construction industry could be a viable solution to prevent natural resources from extinction. The chemical composition of silica fume and waste glass are attracting cement and concrete industries as a sustainable solution. In recent years, green concrete is very popular among researchers and academicians, but green concrete is still at an early stage. This paper studies the influence of silica fume and waste glass on the workability, strength, and durability properties of concrete . Moreover, the microstructural analysis was also studied.
Khosla A., Khandnor P., Chand T.
2020-04-01 citations by CoLab: 183 Abstract  
Electroencephalogram (EEG) measures the neuronal activities in the form of electric currents that are generated due to the synchronized activity by a group of specialized pyramidal cells inside the brain. The study presents a brief comparison of various functional neuroimaging techniques, revealing the excellent neuroimaging capabilities of EEG signals such as high temporal resolution, inexpensiveness, portability, and non-invasiveness as compared to the other techniques such as positron emission tomography, magnetoencephalogram, functional magnetic resonance imaging, and transcranial magnetic stimulation. Different types of frequency bands associated with the brain signals are also being summarized. The main purpose of this literature survey is to cover the maximum possible applications of EEG signals based on computer-aided technologies, ranging from the diagnosis of various neurological disorders such as epilepsy, major depressive disorder, alcohol use disorder, and dementia to the monitoring of other applications such as motor imagery, identity authentication, emotion recognition, sleep stage classification, eye state detection, and drowsiness monitoring. After reviewing them, the comparative analysis of the publicly available EEG datasets and other local data acquisition methods, preprocessing techniques, feature extraction methods, and the result analysis through the classification models and statistical tests has been presented. Then the research gaps and future directions in the present studies have been summarized with the aim to inspire the readers to explore more opportunities on the current topic. Finally, the survey has been completed with the brief description about the studies exploring the fusion of brain signals from multiple modalities.
Omer P., Kumar J., Surjan B.S.
IEEE Access scimago Q1 wos Q2 Open Access
2020-02-02 citations by CoLab: 161 Abstract  
Multilevel Inverters (MLIs) are becoming more and more popular in medium and high power applications. This is due to several inherent advantages of MLI over two-level inverters such as high-quality output, lower device ratings, and several others. While the classical topologies are still having applications in most of the key areas, there is a growing interest in newer multilevel topologies with an objective of reducing power semiconductor device count, gate drivers and/or isolated DC sources. In this paper, a comprehensive review of some of the recently proposed newer multilevel inverter topologies with the abovementioned objectives is presented. In this article, a detailed investigation in terms of total power semiconductor switch count, number of DC sources, passive component requirement, highest switch voltage rating, total standing voltage etc. has been presented.
Sharma S., Singh S.
2021-11-01 citations by CoLab: 120 Abstract  
• A novel framework for the hand gesture recognition (HGR) using deep learning is presented. • VGG-11 and VGG-16 has been also modified and implemented for HGR. • A large dataset of static hand gesture of sign language has been created in this work. • The remarkable recognition results are obtained by the proposed work over the existing models. Hand gestures have been the key component of communication since the beginning of an era. The hand gestures are the foundation of sign language, which is a visual form of communication. In this paper, a deep learning based convolutional neural network (CNN) model is specifically designed for the recognition of gesture-based sign language. This model has a compact representation that achieves better classification accuracy with a fewer number of model parameters over the other existing architectures of CNN. In order to evaluate the efficacy of this model, VGG-11 and VGG-16 have also been trained and tested in this work. To evaluate the performance, 2 datasets have been considered. First, in this work, a large collection of Indian sign language (ISL) gestures consisting of 2150 images is collected using RGB camera, and second, a publicly available American sign language (ASL) dataset is used. The highest accuracy of 99.96% and 100% is obtained by the proposed model for ISL and ASL datasets respectively. The performance of the proposed system, VGG-11, and VGG-16 are experimentally evaluated and compared with the existing state-of-art approaches. In addition to accuracy, other efficiency indices have been also used to ascertain the robustness of the proposed work. The findings indicate that the proposed model outperforms the existing techniques as it has the potential to classify maximum gestures with a minimal rate of error. The model is also tested with the augmented data and is found as invariant to rotation and scaling transformation.
Jakhar R., Yap J.E., Joshi R.
Carbon scimago Q1 wos Q1
2020-12-01 citations by CoLab: 119 Abstract  
The reduction of Graphene Oxide (GO) has become the widely accepted route to obtain graphene like materials for bulk scale production. The commonly used methods of reduction include chemical and thermal routes. But these processes often demand the use of toxic chemicals or exposure to high temperatures for prolonged time that leads to a higher cost of production. In recent years, many non-chemical reduction methods have garnered attention and microwave reduction has emerged as a suitable alternative due to its accelerated and volumetric heating approach. Graphene owing to the presence of π electrons in its structure is a good microwave absorber, but upon oxidation the oxygen functional groups on graphene make it insulating and unresponsive to microwaves. This paper reviews some non-chemical reduction techniques, the mechanism of microwave heating and provides a comprehensive account of microwave reduction of GO organized in two main categories: (i) solid state microwave reduction and (ii) solvent assisted microwave reduction. Additionally, the methods to improve microwave reduction which also covers the concept of hybrid microwave heating are elucidated in detail. We believe that microwave reduction of GO has the potential for mass scale production of graphene-based materials.
Sambyal N., Saini P., Syal R., Gupta V.
2020-07-01 citations by CoLab: 96 Abstract  
Segmentation of lesions from fundus images is an essential prerequisite for accurate severity assessment of diabetic retinopathy. Due to variation in morphologies, number and size of lesions, the manual grading process becomes extremely challenging and time-consuming. This necessitates the need of an automatic segmentation system that can precisely define the region of interest boundaries and assist ophthalmologists in speedy diagnosis along with diabetic retinopathy severity grading. The paper presents a modified U-Net architecture based on residual network and employs periodic shuffling with sub-pixel convolution initialized to convolution nearest neighbour resize. The proposed architecture has been trained and validated for microaneurysm and hard exudate segmentation on two publicly available datasets namely IDRiD and e-ophtha. For IDRiD dataset, the network obtains 99.88% accuracy, 99.85% sensitivity, 99.95% specificity and dice score of 0.9998 for both microaneurysm and exudate segmentation. Further, when trained on e-ophtha and validated on IDRiD dataset, the network shows 99.98% accuracy, 99.88% sensitivity, 99.89% specificity and dice score of 0.9998 for microaneurysm segmentation. For exudates segmentation, the model obtained 99.98% accuracy, 99.88% sensitivity, 99.89% specificity and dice score of 0.9999, when trained on e-ophtha and validated on IDRiD dataset. In comparison to existing literature, the proposed model provides state-of-the-art results for retinal lesion segmentation.
Singh N., Batra U., Kumar K., Ahuja N., Mahapatro A.
Bioactive Materials scimago Q1 wos Q1 Open Access
2023-01-01 citations by CoLab: 85 Abstract  
Mg and its alloys evince strong candidature for biodegradable bone implants, cardiovascular stents, and wound closing devices. However, their rapid degradation rate causes premature implant failure, constraining clinical applications. Bio-functional surface coatings have emerged as the most competent strategy to fulfill the diverse clinical requirements, besides yielding effective corrosion resistance. This article reviews the progress of biodegradable and advanced surface coatings on Mg alloys investigated in recent years, aiming to build up a comprehensive knowledge framework of coating techniques, processing parameters, performance measures in terms of corrosion resistance, adhesion strength, and biocompatibility. Recently developed conversion and deposition type surface coatings are thoroughly discussed by reporting their essential therapeutic responses like osteogenesis, angiogenesis, cytocompatibility, hemocompatibility, anti-bacterial, and controlled drug release towards in-vitro and in-vivo study models. The challenges associated with metallic, ceramic and polymeric coatings along with merits and demerits of various coatings have been illustrated. The use of multilayered hybrid coating comprising a unique combination of organic and inorganic components has been emphasized with future perspectives to obtain diverse bio-functionalities in a facile single coating system for orthopedic implant applications.
Joisher M., Singh D., Taheri S., Espinoza-Trejo D.R., Pouresmaeil E., Taheri H.
IEEE Access scimago Q1 wos Q2 Open Access
2020-02-21 citations by CoLab: 77 Abstract  
Under partial shading conditions (PSCs), photovoltaic (PV) system characteristics vary and may have multiple power peaks. Conventional maximum power point tracking (MPPT) methods are unable to track the global peak. In addition, it takes a considerable time to reach the maximum power point (MPP). To address these issues, this paper proposes an improved hybrid MPPT method using the conventional evolutional algorithms, i.e., Particle Swarm Optimization (PSO) and Differential Evaluation (DE). The main feature of the proposed hybrid MPPT method is the advantage of one method compensates for shortcomings of the other method. Furthermore, the algorithm is simple and rapid. It can be easily implemented on a low-cost microcontroller. To evaluate the performance of the proposed method, MATLAB simulations are carried out under different PSCc. Experimental verifications are conducted using a boost converter setup, an ET-M53695 panel and a TMS320F28335 DSP. Finally, the simulation and hardware results are compared to those from the PSO and DE methods. The superiority of the hybrid method over PSO and DE methods is highlighted through the results.
Randhawa A., Sharma U.
2025-02-16 citations by CoLab: 0 Abstract  
Rapid urbanization, the implementation of new infrastructure projects, and the development of the construction industries all result in the generation of massive amount of construction and demolition waste. Pavement construction costs a huge amount of money and uses a lot of resources. To minimize investment and lower the need for raw materials, it is crucial to implement a tried-and-true methodology for building and maintaining roads. Using recycled materials for construction of roads can be a sustainable solution. This can address a number of issues, such as the use of land for waste disposal, resource depletion, landfill overflow, water pollution, and so on. The goal of the current study is to examine the characteristics of recycled concrete aggregates (RCA) and potential applications in bituminous concrete (BC). Marshall mix design was used to examine the properties of bituminous mixes using RCA as coarse aggregates versus mixes comprising just virgin aggregates. In this paper, investigation on the possible utilization of RCA in bituminous concrete proposes preparation of modified mixes by replacing 10, 20, 30, 40, and 50% virgin aggregates with RCA at varying bitumen percentages of 5, 5.5, and 6%. It was observed that although the stability value of the mix decreases as the RCA content rises, the measured volumetric properties for the RCA samples were more stable than for conventional mixes and fell within acceptable recommended limits. At a bitumen content of 5.5%, RCA can be used as a 30% replacement for natural aggregates in bituminous concrete. Material cost analysis also suggested that the utilization of RCA in road construction is an economical and sustainable solution.
Chauhan A., Mahajan S.
Soft Computing scimago Q2 wos Q2
2025-02-15 citations by CoLab: 0 Abstract  
Transportation problems are inevitably affected by numerous imprecise factors like weather, fuel expenses, topography, etc. Hence, the use of crisp parameters to model transportation problems appears to be both insufficient and inaccurate. Consequently, transportation problems using fuzzy/ intuitionistic fuzzy (IF) numbers seem more effective. Interval-valued intuitionistic fuzzy (IVIF) numbers are further generalization of IF numbers where membership and non-membership degrees are closed sub-intervals of [0, 1]. This concept of allocating interval values helps in dealing with the hesitancy of decision-maker while assigning fixed values to membership and non-membership degrees. In this article, balanced transportation problems having multiple objectives under the IVIF environment are examined. To overcome inconsistencies in the existing approaches, novel linear as well as non-linear interval-valued membership and non-membership functions have been proposed. Subsequently, an improved IVIF programming approach is developed using these newly defined functions along with theoretical validation. In addition, when goals are associated with objective functions, the proposed approach has been further improvised as IVIF prioritized goal programming. Eventually, a trip planning problem in the tourism industry is exhibited to illustrate the proposed IVIF technique and later, it is amalgamated with prioritized goals to demonstrate the proposed IVIF goal programming approach.
Singh G.P., Chatterjee R., Sharma S.K., Sahni K., Deepika, Sardana N.
The most abundant and easily available energy source is sunlight. Solar cells are able to convert solar energy to electrical energy; the quantity of electrical energy produced can be increased by improving the light trapping ability of solar cells. Surface texturing is an excellent method to achieve light trapping at a reasonable cost. Mono-crystalline solar cells have dominated the solar cell market for decades, and still have 90% of the market share. Multi-crystalline solar cells have lower efficiency, but have gained attention due to their low fabrication cost. Lasers already play a vital role in solar cell production due to their versatility and low maintenance compared to chemical techniques. Laser assisted surface texturing can be applied to both mono and multi-crystalline silicon solar cells, which is not practical through conventional etching techniques. In the current article, the laser assisted surface texturing of solar cells with features in micro- and nano-scale are presented. Also, methods to improve silicon-based solar cells and the principles of optical enhancement via surface texturing are studied in detail.
Rajput V., Goud M., Suri N.M., Grover S., Singh S., Kumar S.
2025-02-10 citations by CoLab: 0 Abstract  
The emergence of electrochemical discharge machining (ECDM) has demonstrated as promising method for creating micro-holes in tough and brittle materials like glass. This technique employs localized Joule heating of material to facilitate its controlled removal. Nonetheless, there are still several critical issues that need to be tackled during drilling of micro-holes. These are limited machining depth (MD), pronounced hole taperness (HT), susceptibility to thermal cracks, heat-affected zone (HAZ), reduced material removal rate (MRR), poor surface finish, and compromised hole circularity. The utilization of different tool geometries provides the scope to cater these problems by altering gas film thickness and spark consistencies. The present article investigates the impact of different tool electrode’s geometry on machined glass hole’s characteristics using cognitive ECDM process that senses tool touch with the material. The different tool’s shapes like pointed, tapered, cylindrical and drill are utilized for investigation. The machining characteristics studied are MRR, MD, HT, thermal cracks, HAZ, SR, hole size, and hole circularity. Additionally, the effect of tungsten carbide (WC) and stainless steel material on MRR, MD, HT, SR, hole size, and TWR is studied.
Singh V., Dhukia S., Khullar L., Sihag S., Kaur R., Harjai K., Singh V.
ChemistrySelect scimago Q3 wos Q3
2025-02-06 citations by CoLab: 0 Abstract  
AbstractIn the present study, a newly extracted lignin‐based hydrogel has been explored for the release of ciprofloxacin as an effective drug delivery system. The modified extracted lignin hydrogel was prepared and the Ciprofloxacin drug was used to examine the loading and release capabilities of hydrogel. The hydrogel was characterized by FT‐IR, TGA‐DTG, and SEM analysis as well as swelling ratio and mechanical test. The outcomes demonstrated that the hydrogel that was made shows high mechanical strength (elongation 442.85%), swelling ratio, effectively contained and released the ciprofloxacin. The developed hydrogel encapsulation effectiveness of CP was seen to rise as the drug concentration increased, reaching around 81.3 ± 4.1% at 500 µg/mL of CP. A release analysis conducted in vitro in phosphate buffer saline (PBS) demonstrated a consistent increase in the cumulative drug release, with the greatest release quantity reaching around 88.2 ± 3.2% after 10 h. As compared to hydrogel containing a lower quantity of drug (0.07 ± 0.06%), the hydrogel with high drug loading efficiency (0.78 ± 0.08%) showed a rapid and greater release rate. The CP‐loaded hydrogel exhibits antibacterial activity towards S. aureus, B. subtilis, A. baumannii, P. aeruginosa. The sustained release of ciprofloxacin from the modified lignin‐based hydrogel identifies them as a viable option for designing drug delivery systems.
Ravindran V., Letha S.S., Rönnberg S., Bollen M.H.
Sustainability scimago Q1 wos Q2 Open Access
2025-02-03 citations by CoLab: 0 PDF Abstract  
This paper examines the random nature of interharmonics generated by power converters connected to sustainable energy sources and loads, such as wind turbines, photovoltaic (PV) panels, and electric vehicles (EVs). Current research often overlooks the stochastic behavior of interharmonics and their impact on power system reliability and resilience, leading to gaps in effective modeling and mitigation strategies. Thus, this study examines a low-voltage installation with a PV panel, an EV and a microwave operating simultaneously, providing practical insights into real-world scenarios of interharmonic related disruptions and solutions for enhancing the reliability and resilience of sustainable energy grids. By leveraging real-time measurements of interharmonics, suitable probability distribution functions (PDFs) are initialized to develop a probabilistic model using Monte Carlo simulation. This enables the derivation of a time-domain aggregation model of interharmonics from multiple sources operating together at the point of common coupling (PCC). The findings reveal that the peak values of voltage or current fluctuations at the PCC are influenced by the randomness in the number of devices connected and the frequency components originating from different sources. Through multiple case studies, the dependency of these fluctuations on stochastic parameters is systematically established. Empirical relationships are formulated to predict aggregated interharmonic values under varying scenarios, enhancing the accuracy and applicability of the model. The results demonstrate that higher interharmonic frequencies and fewer randomly connected devices significantly increase the probability of elevated aggregated peak values. These insights can serve as benchmarks for grid operators and policymakers in mitigating interharmonic related issues in modern power systems.
Kumar P., Shrivastava A.K.
2025-02-01 citations by CoLab: 0 Abstract  
Tunnels can be employed for a variety of functions, including railway tracks, highways, sewage, gas pipelines, transportation, and military ones. The construction of undergrounds passages can be an effective alternative in the modern era. But it is very important to keep the tunnel structure safe from the deformation. In this paper, an attempt is made to analyze the deformation behavior of twin tunnels under the effect of static loading conditions with the help of Finite Element software, i.e., ANSYS. Also, various factors which effect the deformation of twin tunnels are identified. The primary objective of the study is to check the deformation of tunnels at three different locations along the tunnel axis. In numerical modeling, the spacing between the twin tunnels models is varied as 1.5D, 2D, and 2.5D, where “D” is the diameter of the tunnel. Plaster of Paris is selected as the model material for making the geometry of the tunnel model. From the results, it may be concluded that deformation of twin tunnels largely depends upon the spacing between the two tunnels. The maximum deformation value is obtained when the spacing between the tunnels is less, and the deformation will reduce as the spacing between the tunnels keep on increasing.
Nangia T., Sharma U., Kumar S., Sharma S.
2025-02-01 citations by CoLab: 0 Abstract  
The structure of the pavement is formed upon the subgrade of soil, which can be either the natural surface or a surface that has been prepared. It offers the pavement layers the necessary support and evenly distributes the load that the traffic produces on the surface to the layers beneath it. To ensure the pavement structure will continue to function effectively over time, it is imperative that the subgrade soil possesses both strength and stability. In order to assess the qualities of the subgrade soil, a number of tests are carried out, and then, the right actions are taken in order to improve its strength and stability. These actions include enhancing the soil quality, ensuring adequate drainage, and making use of geosynthetic materials. The purpose of this investigation was to determine the effect that reinforcement material has on the level of strength possessed by the subgrade soil. The efficiency of geotextile as a reinforcing material was determined by carrying out California Bearing Ratio (CBR) experiments on soil samples with and without geotextile reinforcement, under both soaked and unsoaked conditions. These tests were carried out in order to compare the results of the two groups. The study utilized both woven and non-woven geotextile materials in order to evaluate the effects of varying the depth of the geotextile layers as well as the number of layers on the strength of the subgrade soil. In order to conduct the tests, several combinations were formed by inserting one, two, or three layers of woven and non-woven geotextile at varying depths into the soil samples. The placement of two layers of geotextile at depths of H/5 and H/2 from the top produced the best possible results. Here, H represents the overall height of the sample. In addition, it was discovered that the strength of the samples that were treated with woven geotextile increased much more than that of the samples that were treated with non-woven geotextile. In addition to determining which method is the most efficient for stabilizing the soil, a cost comparison of constructing roads without geotextile reinforcement versus constructing roads with a lower thickness of pavement and geotextile reinforcement was carried out for both rural and urban highways. This comparison was made in terms of the amount of money required. According to the findings of the cost analysis, incorporating geotextile in soil samples has the potential to significantly cut construction costs. This has the potential to result in cost reductions of roughly 12.39% and 22.78% of the total cost of pavement per kilometer for urban and rural roads, respectively.
Bhardwaj S., Harit S., Verma S.
2025-01-30 citations by CoLab: 0 Abstract  
ABSTRACTThe inherent complexity and the critical nature of data privacy in IoT networks necessitate rigorous validation of privacy mechanisms to preempt vulnerabilities and ensure compliance with security standards. This research article extends the concept of the SDN‐enabled Consumer‐Centric Content Delivery Network (CCDN) model for the IoT by introducing a rigorous mathematical framework to formalize the dialogues integral to user privacy and data integrity. With the help of a comprehensive mathematical formulation, the research captures the dynamics of credential exchange and user interactions within the CCDN architecture. To ensure the robustness of the proposed model, this research employs formal verification techniques to validate the correctness and security properties of the mathematical formulation. Furthermore, the research conducts an extensive simulative analysis to evaluate the performance of the CCDN architecture under various operational conditions. This analysis encompasses aggregate analysis, amortized analysis, and scalability analysis, focusing on critical performance metrics such as latency, packet loss ratio, and throughput. The results demonstrate that the implemented CCDN model maintains user privacy and personalization for content delivery in scalable IoT environments. This work lays the groundwork for future research in secure and efficient content delivery systems, addressing the growing demands of IoT applications while ensuring user‐centric privacy and data protection.
Veena U., James N.
Indian Geotechnical Journal scimago Q2 wos Q3
2025-01-27 citations by CoLab: 0 Abstract  
A few recent studies introduced natural rubber latex (NRL) as a stabilizer for improving the mechanical properties of soil such as ductility, compressive and tensile strengths, durability, etc. However, none of these studies addressed the effect of NRL treatment on swelling and compressibility of soil. The present study investigates the effect of NRL treatment on swelling and compressibility characteristics of three soils of different plasticities by conducting oedometer tests. Untreated and NRL-treated samples of the selected soils were prepared with the same soil dry density. For preparing treated samples, in place of water, NRL was added to soil. The results of one-dimensional swelling-compression tests demonstrated that in low and medium plastic soils, NRL treatment increased the swelling potential marginally, whereas it considerably reduced the swelling in the high plastic soil, which is expansive in nature. NRL did not cause any changes in the swelling pressure of medium plastic soil. At the same time, it brought about a considerable drop in the swelling pressure of high plastic soil. In the consolidation tests, a decrease in compressibility, quantified in terms of compression index, was observed in all soils after NRL treatment. The resilient nature of rubber content caused an increase in the recompression index in all treated samples. A reduction in the coefficient of consolidation was observed in NRL-treated soils. The study concludes that despite the high deformability of rubber, NRL treatment does not negatively affect the swell-compression behaviour of soils. Besides, the treatment effectively controls the swelling and compression of highly compressible soil.
Pannu N., Prakash N.R.
2025-01-24 citations by CoLab: 0 Abstract  
Radiation induced soft errors impact memory circuits and their response gets transposed or disturbed which makes it crucial to protect the memory unit. Radiation-immune memory devices have extensive applications in space, biomedical, smart devices, and wearable devices. A radiation hardened by design circuit using Dual Interlocked Storage Cell (DICE) is implemented with varied transistor sizing to propose the design that has optimum performance and minimum power dissipation. The design is tested for Single Event Upsets using the double exponential current model for current source of maximum amplitude 1 A. The proposed design is validated using Cadence Virtuoso version IC 6.1.5 at 180 nm CMOS technology node with variation of ± 10% of VDD = 1.8 V. The sensitivity of the circuit to process, voltage and temperature variations are shown with the help of Monte Carlo simulations. Various iterations performed during simulations make the proposed circuit suitable for use in critical applications.
Bhanjana G., Lamba R., Jadon M.S., Dilbaghi N., Kumar S.
BME Frontiers wos Q1 Open Access
2025-01-23 citations by CoLab: 0 PDF Abstract  
Objective: In addition to its positive benefits, caffeine also has harmful consequences. Therefore, it is essential to ascertain its content in various substances. Impact Statement: The present study emphasizes a novel way of quantification of caffeine in real as well as laboratory samples based on a nanomaterial-assisted electrochemical technique. Introduction: Electrochemical sensing is a prominent analytical technique because of its efficiency, speed, and simple preparation and observations. Due to its low chemical potential, SnO 2 (tin oxide) demonstrates rapid redox reactions when used as an electrode. The presence of shielded 4f levels contributes to its distinctive optical, catalytic, and electrochemical capabilities. Methods: An efficient coprecipitation approach, which is simple and rapid and operates at low temperatures, is utilized to produce zinc-doped tin oxide nanoparticles (Zn–SnO 2 nanoparticles). Zinc doping is used to modify the optoelectronic characteristics of tin oxide nanoparticles, rendering them very efficient as electrochemical sensors. Results: The crystal structure of samples was analyzed using x-ray diffraction, electronic transitions were calculated using ultraviolet–visible spectroscopy, and surface morphology was analyzed using field emission scanning electron microscopy. The x-ray diffraction investigation revealed that the produced Zn-doped SnO 2 nanoparticles exhibit tetragonal phases, and the average size of their crystallites reduces upon doping Zn with SnO 2 . The bandgap energy calculated using the Tauc plot was found to be 3.77 eV. Conclusion: The fabricated caffeine sensor exhibits a sensitivity of 0.605 μA μM −1 cm −2 , and its limit of detection was found to be 3 μM.
Kumari S., Nehra M., Jain S., Sheokand A., Dilbaghi N., Chaudhary G.R., Kim K., Kumar S.
Microchimica Acta scimago Q1 wos Q1
2025-01-07 citations by CoLab: 0 Abstract  
Rapid and accurate detection of Escherichia coli (E. coli) is critical for maintaining water quality, and protecting aquatic ecosystems and public health. This research focuses on the development of a Förster resonance energy transfer (FRET)–based “turn-on” fluorescent nanosensor for real time, sensitive detection of E. coli. Copper nanoclusters–encapsulated metal organic frameworks (CuNCs@ZIF-8) were sythesized as a fluorescent donor with excellent luminescence properties. Further, MnO2 nanospheres were synthesized as a receptor with good adsorption and quenching abilities. This novel nanoconjugate (CuNCs@ZIF-8@ MnO2) was employed for the construction of a sensitive, accurate, and rapid sensing platform against E. coli in water on the basis of p-benzoquinone/hydroquinone (p-BQ/HQ) redox pair formation. Fluorescence is quenched by energy transfer when MnO2 nanospheres are added to CuNCs@ZIF-8. Upon contact with E. coli, NADH-quinone reductase converts p-BQ to HQ, which reduces MnO2 to Mn2+, releasing the nanospheres and restoring fluorescence in the composite. Based on this FRET ON–OFF-ON fluorescent probe, E. coli can be detected across a broad concentration range (5 × 101 to 5 × 105 CFU/mL), with a detection limit as low as 8 CFU/mL within 50 min. The sensor’s practicality was verified through the investigation of E. coli in real water samples, with recoveries in the range 94.3 to 106.5%. This approach offers an efficient method for on-site detection and quantification of E. coli in both environment and food safety domains.
Mangal S., Singh V., Chhibber S., Harjai K.
Indian Journal of Microbiology scimago Q3 wos Q3
2025-01-07 citations by CoLab: 0 Abstract  
Pseudomonas aeruginosa is a major cause of nosocomial infection which at times causes a grim situation in clinical setups. There is a dire need to develop strategies to overcome the increasing incidence of drug resistance in this organism. The protective outer membrane and over expressed efflux pumps serve as a major survival weapon for this pathogen, making it to resist present day antibiotics. The present review dwells on some of these strategies, with emphasis on tagging to existing antibiotics with siderophore as a carrier employing a Trojan horse strategy so that an antibiotic can creep into bacterial cell through the iron acquisition pathway. These hybrid drugs, defined as synthetic structures are likely to overcome drug resistance due to their ability to evade resistance mediated by multiple antibiotic resistance operon. The advances and challenges of siderophore-antibiotic conjugates are elaborated in this article. Moreover, several xeno-siderophore-antibiotic conjugates, currently in clinical trials, have been discussed. The present review provides insights into repurposing of fluroquinolones through siderophore targeted delivery to increase the biological activity of antibiotics. In the near future, siderophore—based Trojan horse antibiotics indeed will not only help in altering the potency of antibiotics, hence decreasing antimicrobial resistance, but also will lead to disarming the pathogen of its virulence.

Since 1963

Total publications
1922
Total citations
23190
Citations per publication
12.07
Average publications per year
31
Average authors per publication
3.82
h-index
58
Metrics description

Top-30

Fields of science

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100
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Electrical and Electronic Engineering, 252, 13.11%
Mechanical Engineering, 249, 12.96%
General Materials Science, 206, 10.72%
Condensed Matter Physics, 201, 10.46%
Mechanics of Materials, 185, 9.63%
Industrial and Manufacturing Engineering, 155, 8.06%
Electronic, Optical and Magnetic Materials, 145, 7.54%
General Medicine, 134, 6.97%
Computer Science Applications, 124, 6.45%
Software, 94, 4.89%
Atomic and Molecular Physics, and Optics, 92, 4.79%
Materials Chemistry, 89, 4.63%
General Chemistry, 83, 4.32%
General Engineering, 80, 4.16%
Computer Networks and Communications, 64, 3.33%
Surfaces, Coatings and Films, 61, 3.17%
Applied Mathematics, 61, 3.17%
Control and Systems Engineering, 60, 3.12%
Metals and Alloys, 56, 2.91%
Energy Engineering and Power Technology, 53, 2.76%
Civil and Structural Engineering, 53, 2.76%
Renewable Energy, Sustainability and the Environment, 46, 2.39%
Multidisciplinary, 45, 2.34%
Physical and Theoretical Chemistry, 42, 2.19%
Artificial Intelligence, 42, 2.19%
General Chemical Engineering, 41, 2.13%
Ceramics and Composites, 40, 2.08%
Modeling and Simulation, 40, 2.08%
General Physics and Astronomy, 38, 1.98%
Water Science and Technology, 38, 1.98%
50
100
150
200
250
300

Journals

10
20
30
40
50
60
70
80
10
20
30
40
50
60
70
80

Publishers

100
200
300
400
500
600
700
100
200
300
400
500
600
700

With other organizations

20
40
60
80
100
120
140
160
180
20
40
60
80
100
120
140
160
180

With foreign organizations

2
4
6
8
10
12
14
16
18
20
2
4
6
8
10
12
14
16
18
20

With other countries

10
20
30
40
50
60
USA, 55, 2.86%
China, 47, 2.45%
Saudi Arabia, 43, 2.24%
United Kingdom, 33, 1.72%
Malaysia, 26, 1.35%
Australia, 19, 0.99%
Canada, 18, 0.94%
Germany, 13, 0.68%
Italy, 12, 0.62%
Egypt, 11, 0.57%
Republic of Korea, 11, 0.57%
Turkey, 11, 0.57%
Russia, 10, 0.52%
Singapore, 10, 0.52%
Kazakhstan, 9, 0.47%
Poland, 9, 0.47%
France, 8, 0.42%
Uzbekistan, 8, 0.42%
Japan, 8, 0.42%
Iran, 7, 0.36%
Lebanon, 7, 0.36%
UAE, 5, 0.26%
Spain, 4, 0.21%
Ethiopia, 4, 0.21%
Algeria, 3, 0.16%
Greece, 3, 0.16%
Jordan, 3, 0.16%
Norway, 3, 0.16%
Romania, 3, 0.16%
10
20
30
40
50
60
  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1963 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.