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ZnO nanowires based degradable high-performance photodetectors for eco-friendly green electronics

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Opto-Electronic Advances 2023年第2期6卷 11-25页

作者： Bhavani Prasad Yalagala Abhishek Singh dahiya Ravinder dahiya Bendable Electronics and Sensing Technologies(BEST)Group University of GlasgowGlasgow G128QQU.K.

Disposable devices designed for single and/or multiple reliable measurements over a short duration have attracted considerable interest recently. However, these devices often use non-recyclable and non-biodegradable materials and wasteful fabrication methods. Herein, we present ZnO nanowires(NWs) based degradable high-performance UV photodetectors(PDs) on flexible chitosan substrate. Systematic investigations reveal the presented device exhibits excellent photo response, including high responsivity(55 A/W), superior specific detectivity(4×10^(14) jones), and the highest gain(8.5×10~(10)) among the reported state of the art biodegradable PDs. Further, the presented PDs display excellent mechanical flexibility under wide range of bending conditions and thermal stability in the measured temperature range(5–50 ℃).The biodegradability studies performed on the device, in both deionized(DI) water(pH≈6) and PBS solution(pH=7.4),show fast degradability in DI water(20 mins) as compared to PBS(48 h). These results show the potential the presented approach holds for green and cost-effective fabrication of wearable, and disposable sensing systems with reduced adverse environmental impact.

关键词： transient electronics degradable devices ZnO nanowire chitosan UV photodetector printed electronics

Ultra-thin chips for high-performance flexible electronics

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npj Flexible Electronics 2018年第1期2卷 50-66页

作者： Shoubhik Gupta William Taube Navaraj Leandro Lorenzelli Ravinder dahiya Bendable Electronics and Sensing Technologies(BEST)Group University of GlasgowGlasgow G128QQUK Micro-Systems Technology Group Fondazione Bruno KesslerTrento 38123Italy

Flexible electronics has significantly advanced over the last few years,as devices and circuits from nanoscale structures to printed thin films have started to ***,the demand for high-performance electronics has also increased because flexible and compact integrated circuits are needed to obtain fully flexible electronic *** is challenging to obtain flexible and compact integrated circuits as the silicon based CMOS electronics,which is currently the industry standard for high-performance,is planar and the brittle nature of silicon makes bendability *** this reason,the ultra-thin chips from silicon is gaining *** review provides an in-depth analysis of various approaches for obtaining ultra-thin chips from rigid silicon *** comprehensive study presented here includes analysis of ultra-thin chips properties such as the electrical,thermal,optical and mechanical properties,stress modelling,and packaging *** underpinning advances in areas such as sensing,computing,data storage,and energy have been discussed along with several emerging applications(e.g.,wearable systems,m-Health,smart cities and Internet of Things etc.)they will *** paper is targeted to the readers working in the field of integrated circuits on thin and bendable silicon;but it can be of broad interest to everyone working in the field of flexible electronics.

关键词： performance electronics everyone

Comparative study of 2mol% Li- and Mn-substituted lead-free potassium sodium niobate ceramics

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International Journal of Minerals,Metallurgy and Materials 2014年第12期21卷 1241-1246页

作者： Asha dahiya O.P.Thakur J.K.Juneja Sangeeta Singh Dipti School of Applied Sciences Netaji Subhas Institute of Technology Dwarka University of Delhi Department of Physics Hindu College Department of Physics Geeta Vidya Mandir Girls College School of Physics & Material Sciences Thapar University

The effect of Li and Mn substitution on the dielectric, ferroelectric and piezoelectric properties of lead free K0.5Na0.5NbO3 （KNN） was investigated. Samples were prepared using a conventional solid state reaction method. The sintefing temperature for all the samples was 1050℃. The optimum doping concentration for the enhancement of different properties without the introduction of any other co-dopants such as Ti, Sb, and La was investigated. X-ray diffraction analysis confirmed that all the samples crystallize in a single phase perovskite structure. The dielectric properties were investigated as a function of temperature and applied electric field frequency. Compared with Li-substituted KNN （KLNN）, Mn-substituted KNN （KMNN） exhibited a higher dielectric constant εmax （i.e., 4840） at its critical transition temperature Tc （i.e., 421℃） along with a lower value of tangent loss at 10 kHz and greater values of saturation polarisation Ps （i.e., 20.14 μC/cm^2） and remnant polarisation Pr （i.e., 15.48 μC/cm^2）. The piezoelectric constant （d33） of KMNN was 178 pC/N, which is comparable to that of lead-based hard ceramics. The results presented herein suggest that B-site or Mn substitution at the optimum concentration results in good enhancement of different properties required for materials used in memory devices and other applications.

关键词： ceramics dielectric properties ferroelectricity piezoelectricity substitution comparative study

Genetics Based Compact Fuzzy System for Visual Sensor Network

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Computer Systems Science & Engineering 2023年第4期45卷 409-426页

作者： Usama Abdur Rahman C.Jayakumar Deepak dahiya C.R.Rene Robin Department of Computer Science and Engineering Jerusalem College of EngineeringChennaiTamil Nadu600100India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringChennaiTamil Nadu602117India College of Computer and Information Sciences(CCIS) Majmaah UniversityMajmaah11952Kingdom of Saudi Arabia Department of Computer Science and Engineering Sri Sairam Engineering CollegeChennai600044India

As a component of Wireless Sensor Network(WSN),Visual-WSN(VWSN)utilizes cameras to obtain relevant data including visual recordings and static *** from the camera is sent to energy efficient sink to extract key-information out of *** applications range from health care monitoring to military *** a network with VWSN,there are multiple challenges to move high volume data from a source location to a target and the key challenges include energy,memory and I/O *** this case,Mobile Sinks(MS)can be employed for data collection which not only collects information from particular chosen nodes called Cluster Head(CH),it also collects data from nearby nodes as *** innovation of our work is to intelligently decide on a particular node as CH whose selection criteria would directly have an impact on QoS parameters of the ***,making an appropriate choice during CH selection is a daunting task as the dynamic and mobile nature of MSs has to be taken into *** propose Genetic Machine Learning based Fuzzy system for clustering which has the potential to simulate human cognitive behavior to observe,learn and understand things from manual *** architecture is designed based on Mamdani’s fuzzy *** parameters are derived based on the model residual energy,node centrality,distance between the sink and current position,node centrality,node density,node history,and mobility of sink as input variables for decision making in CH *** inputs received have a direct impact on the Fuzzy logic rules mechanism which in turn affects the accuracy of *** proposed work creates a mechanism to learn the fuzzy rules using Genetic Algorithm(GA)and to optimize the fuzzy rules base in order to eliminate irrelevant and repetitive *** algorithmbased machine learning optimizes the interpretability aspect of fuzzy *** results are obtained using *** result shows that the classification acc

关键词： Visual sensor network fuzzy system genetic based machine learning mobile sink efficient energy life of network

Secured Cyber Security Algorithm for Healthcare System Using Blockchain Technology

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Intelligent Automation & Soft Computing 2023年第2期35卷 1889-1906页

作者： D.Doreen Hephzibah Miriam Deepak dahiya Nitin C.R.Rene Robin Computational Intelligence Research Foundation(CIRF) Chennai600023TamilnaduIndia College of Computer and Information Sciences Majmaah UniversityMajmaah11952Saudi Arabia Department of Electrical Engineering and Computer Science College of Engineering and Applied ScienceUniversity of CincinnatiCincinnati45221OHUnited States Department of Computer Science and Engineering Sri Sairam Engineering CollegeChennai600044TamilnaduIndia

Blockchain technology is critical in cyber *** most recent cryptographic strategies may be hacked as efforts are made to build massive elec-tronic *** of the ethical and legal implications of a patient’s medical data,cyber security is a critical and challenging problem in *** image secrecy is highly vulnerable to various types of *** a result,designing a cyber security model for healthcare applications necessitates extra caution in terms of data *** resolve this issue,this paper proposes a Lionized Golden Eagle based Homomorphic Elapid Security(LGE-HES)algorithm for the cybersecurity of blockchain in healthcare *** blockchain algorithm preserves the security of the medical image by performing hash *** execution of this research is carried out by MATLAB *** suggested fra-mework was tested utilizing Computed Tumor(CT)pictures and MRI image data-sets,and the simulation results revealed the proposed model’s profound *** the simulation,94.9%of malicious communications were recognized and identiﬁed effectively,according to the total outcomes *** suggested model’s performance is also compared to that of standard approaches in terms of Root Mean Square Error(RMSE),Peak Signal to Noise Ratio(PSNR),Mean Square Error(MSE),time complexity,and other factors.

关键词： Healthcare system cybersecurity security data sharing blockchain

A Novel Technique for Detecting Various Thyroid Diseases Using Deep Learning

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Intelligent Automation & Soft Computing 2023年第1期35卷 199-214页

作者： Soma Prathibha Deepak dahiya C.R.Rene Robin Cherukuru Venkata Nishkala S.Swedha Department of Information Technology Sri Sai Ram Engineering CollegeChennai600044India College of Computer and Information Sciences(CCIS) Majmaah UniversityMajmaah11952Kingdom of Saudi Arabia Department of Computer Science and Engineering Sri Sai Ram Engineering CollegeChennai602109India Associate Solutions Engineer PegasystemsChennai600044India Systems Engineer Infosys Ltd.Chennai600119India

Thyroid disease is a medical condition caused due to the excess release of thyroid *** is released by the thyroid gland which is in front of the neck just below the *** pictures such as X-rays and CT scans can,however,be used to diagnose *** this proposed model,Deep Learning technology is used to detect thyroid diseases.A Convolution Neural Network(CNN)based modified ResNet architecture is employed to detectfive different types of thyroid diseases namely *** *** *** cancer *** *** *** the proposed work,the training method is enhanced using dual optimizers for better accuracy and ***,a Python library that is high level runs as the main part of the Tensor Flow *** is used in the proposed work to implement deep learning *** comparative analysis of the proposed model and the existing work helps to show that there is a great improvement in the performance metrics in classifying the type of thyroid *** applying Adam and SGD(Stochastic Gradient Descent)optimizers in the training phase of the proposed model it was identified that these increase the operational efficiency of the modified ResNet *** retraining the model with SGD,the modified ResNet provides more accuracy of about 97%whereas the basic ResNet architecture attains 94%accuracy.A web-based frame-work is also developed which yields the type of thyroid disease as the output for a given input scanned image of the system.

关键词： Thyroid deep learning convolution neural network modified ResNet dual optimizer

Heterogeneous integration of contact-printed semiconductor nanowires for high-performance devices on large areas

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Microsystems & Nanoengineering 2018年第1期4卷 208-222页

作者： Carlos García Núñez Fengyuan Liu William Taube Navaraj Adamos Christou Dhayalan Shakthivel Ravinder dahiya Bendable Electronics and Sensing Technologies(BEST)Group School of EngineeringUniversity of GlasgowG128QQ GlasgowUK

In this work,we have developed a contact-printing system to efficiently transfer the bottom-up and top-down semiconductor nanowires(NWs),preserving their as-grown features with a good control over their electronic *** the close-loop configuration,the printing system is controlled with parameters such as contact pressure and sliding speed/*** with the dry pre-treatment of the receiver substrate,the system prints electronic layers with high NW density(7 NWs/μm for bottom-up ZnO and 3 NWs/μm for top-down Si NWs),NW transfer yield and *** observed compactly packed(~115 nm average diameters of NWs,with NW-to-NW spacing~165 nm)and well-aligned NWs(90%with respect to the printing direction).We have theoretically and experimentally analysed the role of contact force on NW print dynamics to investigate the heterogeneous integration of ZnO and Si NWs over pre-selected ***,the contact-printing system was used to fabricate ZnO and Si NW-based ultraviolet(UV)photodetectors(PDs)with Wheatstone bridge(WB)configuration on rigid and flexible *** UV PDs based on the printed ensemble of NWs demonstrate high efficiency,a high photocurrent to dark current ratio(>10^(4))and reduced thermal variations as a result of inherent self-compensation of WB *** to statistically lesser dimensional variations in the ensemble of NWs,the UV PDs made from them have exhibited uniform response.

关键词： nanowires printing integration

Deep Learning and SVM-Based Approach for Indian Licence Plate Character Recognition

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Computers, Materials & Continua 2023年第1期74卷 881-895页

作者： Nitin Sharma Mohd Anul Haq Pawan Kumar dahiya B.R.Marwah Reema Lalit Nitin Mittal Ismail Keshta Department of Electronics&Communication Engineering Chandigarh UniversityMohali140413India Department of Computer Science College of Computer and Information SciencesMajmaah University11952Al-MajmaahSaudi Arabia Department of Electronics&Communication Engineering DCRUST Murthal131039India Department of Transportation Engineering IITKanpur208016Uttar PradeshIndia Department of Computer Science Applications PIETSmalkha132102India Skill Faculty of Science and Technology Shri Vishwakarma Skill UniversityPalwal121102India Computer Science and Information Systems Department College of Applied SciencesAlMaarefa UniversityRiyadhSaudi Arabia

Every developing country relies on transportation,and there has been an exponential expansion in the development of various sorts of vehicles with various configurations,which is a major component strengthening the automobile *** is a developing country with increasing road traffic,which has resulted in challenges such as increased road accidents and traffic oversight *** the lack of a parametric technique for accurate vehicle recognition,which is a major worry in terms of reliability,high traffic density also leads to mayhem at checkpoints and toll plazas.A system that combines an intelligent domain approach with more sustainability indices is a better way to handle traffic density and transparency *** Automatic Licence Plate Recognition(ALPR)system is one of the components of the intelligent transportation system for traffic *** study is based on a comprehensive and detailed literature evaluation in the field of *** major goal of this study is to create an automatic pattern recognition system with various combinations and higher accuracy in order to increase the reliability and accuracy of identifying digits and alphabets on a car *** research is founded on the idea that image processing opens up a diverse environment with allied fields when employing distinct soft techniques for *** properties of characters are employed to recognise the Indian licence plate in this *** licence plate recognition,more than 200 images were analysed with various parameters and soft computing techniques were *** comparison to neural networks,a hybrid technique using a Convolution Neural Network(CNN)and a Support Vector Machine(SVM)classifier has a 98.45%efficiency.

关键词： Intelligent transportation system automatic license plate recognition system neural network random forest convolutional neural network support vector machine

Knowledge, attitude, and practice of techniques of breastfeeding among new mothers: A survey across Delhi Region

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Journal of Integrative Nursing 2022年第1期4卷 26-29页

作者： Himanshu VERMA Sirshti SINGH Nitika BAHUGUNA Mukul dahiya Jyoti SHAH Department of Otolaryngology Speech and Hearing UnitPGIMERChandigarhIndia Department of Swallowing Service Amrita Vishwa VidhyapeethamKollamKeralaIndia Department of Speech Pathology Sarthak Educational TrustNew DelhiIndia Ashtavakra Institute of Rehabilitation Sciences and Research DelhiIndia Speech-Swallowing and Hearing Care Clinic New DelhiIndia Department of Audiology and Speech-Pathology Saroj HospitalNew DelhiIndia

Objective:The present study aims to evaluate aims to assess the knowledge,attitude,and practice of primiparous mothers in the immediate postpartum period regarding breastfeeding techniques which will be helpful in forming awareness and training *** and Methods:A cross-sectional survey was used.A total of 120 primiparous mothers with a mean age of 24.92 years participated in the survey and filled the questionnaire related to the knowledge,attitude,and practice of techniques of ***:Results revealed that 48.3%of new mothers were not aware of the correct techniques to initiate breastfeeding,whereas 68.3%of subjects reported that during latching,the baby’s upper and lower lip should be *** majority of new mothers were aware of breastfeeding techniques with some misconceptions as in our culture,most of the breastfeeding information passed from generation to ***:The level of awareness about feeding skills among primiparous mothers can be further improved by antenatal counseling or training from health-care workers during the gestational *** will further help new mothers to educate and will provide adequate information which will decrease the myths.

关键词： Breastfeeding breastfeeding techniques lactation primiparous mother