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Topographically derived subpixel-based change detection for monitoring changes over rugged terrain Himalayas using AWiFS data

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Journal of Mountain Science 2021年第1期18卷 126-140页

作者： Vishakha SOOD Hemendra Singh GUSAIN Sheifali GUPTA Sartajvir SINGH chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab 140401India Snow and Avalanche Study Establishment DRDOChandigarh 160017India chitkara University School of Engineering and Technology Chitkara UniversityHimachal Pradesh174103India

Continuous and accurate monitoring of earth surface changes over rugged terrain Himalayas is important to manage natural resources and mitigate natural *** techniques generally focus on per-pixel based processing and overlook the sub-pixel variations occurring especially in case of low or moderate resolution remotely sensed ***,the existing subpixel-based change detection(SCD)models are less effective to detect the mixed pixel information at its complexity level especially over rugged terrain *** overcome such issues,a topographically controlled SCD model has been proposed which is an improved version of widely used per-pixel based change vector analysis(CVA)and hence,named as a subpixel-based change vector analysis(SCVA).This study has been conducted over a part of the Western Himalayas using the advanced wide-field sensor(AWiFS)and Landsat-8 *** check the effectiveness of the proposed SCVA,the cross-validation of the results has been done with the existing neural network-based SCD(NN-SCD)and per-pixel based models such as fuzzybasedCVA(FCVA)andpost-classification comparison(PCC).The results have shown that SCVA offered robust performance(85.6%-86.4%)as comparedtoNN-SCD(81.6%-82.4%),PCC(79.2%-80.4%),and FCVA(81.2%-83.6%).We concluded that SCVA helps in reducing the detection of spurious pixels and improve the efficacy of generating change *** study is beneficial for the accurate monitoring of glacier retreat and snow cover variability over rugged terrain regions using moderate resolution remotely sensed datasets.

关键词： Topographic correction Change vector analysis(CVA) Subpixel-based change detection(SCD) Western Himalayas

Sustainable remediation of failed slope using helical soil nails

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Journal of Mountain Science 2023年第6期20卷 1742-1758页

作者： Saurabh RAWAT Ashok Kumar GUPTA Pankaj SHARMA Department of Civil Engineering Jaypee University of Information Technology Department of Civil Engineering Chitkara University Institute of Engineering and TechnologyChitkara University

The performance of a helical soil nailed structure is dependent on the installation torque required and the consequent pullout resistance *** present research work aims at proposing theoretical models to estimate the required torque during installation of helical soil ***,theoretical models are also developed to predict the pullout capacity of single and group of the helical nail for uniform and staggered *** proposed model predicts the pure-elastic and elastic-plastic pullout behavior of different helical *** equation for estimating the capacity-totorque Ratio(Kt)has also been developed for different nail shaft *** results from the proposed models are validated with experimental results obtained from model testing of both single and group of helical *** predicted results are also compared for validation with the published *** results for installation torque and pullout load depict that the developed models predict values which are in accordance with the experimental results and are also found in good agreement with the published ***,the proposed models can effectively be used by the filed engineers for estimating the required installation torque and corresponding pullout capacities for single or double plate helical soil nails in cohesionless soil under surcharge pressure range of 0–50k Pa.

关键词： Theoretical torque Pullout force Pure elastic Elastic plastic Capacity to torque ratio

Medical Data Clustering and Classification Using TLBO and Machine Learning Algorithms

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Computers, Materials & Continua 2022年第3期70卷 4523-4543页

作者： Ashutosh Kumar Dubey Umesh Gupta Sonal Jain chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Institute of Engineering and Technology JK Lakshmipat UniversityJaipurIndia

This study aims to empirically analyze teaching-learning-based optimization(TLBO)and machine learning algorithms using k-means and fuzzy c-means(FCM)algorithms for their individual performance evaluation in terms of clustering and *** the first phase,the clustering(k-means and FCM)algorithms were employed independently and the clustering accuracy was evaluated using different *** the second phase,the non-clustered data obtained from the first phase were preprocessed with *** was performed using k-means(TLBO-KM)and FCM(TLBO-FCM)(TLBO-KM/FCM)*** objective function was determined by considering both minimization and maximization ***-clustered data obtained from the first phase were further utilized and fed as input for threshold *** benchmark datasets were considered from theUniversity of California,Irvine(UCI)Machine Learning Repository for comparative study and *** are breast cancer Wisconsin(BCW),Pima Indians Diabetes,Heart-Statlog,Hepatitis,and Cleveland Heart Disease *** combined average accuracy obtained collectively is approximately 99.4%in case of TLBO-KM and 98.6%in case of *** approach is also capable of finding the dominating *** findings indicate that TLBO-KM/FCM,considering different computational measures,perform well on the non-clustered data where k-means and FCM,if employed independently,fail to provide significant *** different feature sets,the TLBO-KM/FCM and SVM(GS)clearly outperformed all other classifiers in terms of sensitivity,specificity and ***/FCM attained the highest average sensitivity(98.7%),highest average specificity(98.4%)and highest average accuracy(99.4%)for 10-fold cross validation with different test data.

关键词： K-means FCM TLBO TLBO-KM TLBO-FCM TLBO-KM/FCM machine learning algorithms

Nasal implants for drug delivery:Advancements and applications

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Chinese Journal of Plastic and Reconstructive Surgery 2023年第4期5卷 217-220页

作者： Hiti Sanshita Inderbir Singh chitkara College of Pharmacy Chitkara UniversityPunjab 140401India

Nasal implants have emerged as a pioneering technology for nasal drug delivery *** are breakthrough options made of biocompatible materials that are temporarily inserted into the nasal passages for both functional and cosmetic ***-eluting nasal implants are beneficial for improving patient compliance,reducing the need for repeated drug administration,and achieving controlled release of therapeutic *** article offers a comprehensive insight into nasal implants and their applications,and addresses a patent perspective in the same *** considerations for clinically approved implants,such as Propel,Sinuva,Sinu-Foam,and Relieva Stratus,have also been discussed.

关键词： Nasal route Nasal implants Drug delivery Patents

Bibliometric analysis of Blockchain in the healthcare domain

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Intelligent and Converged Networks 2023年第4期4卷 305-312页

作者： Shilpi Garg Rajesh Kumar Kaushal Naveen Kumar Anshul Verma chitkara Institute of Engineering and Technology Chitkara UniversityPunjab 140401India Institute of Science Banaras Hindu UniversityVaranasi 221005India

As an innovation,Blockchain has transformed numerous industries and sparked the interest of the research community due to its abundance of benefits,opening up diverse research routes in the healthcare sector in the last *** Health 4.0 becoming ubiquitous in the healthcare industry,end-user transactions are being carried out on a decentralized network,making Blockchain profitable to meet the demands of the modern healthcare ***,a detailed analysis of Blockchain is very *** study emphasizes the evolution of science and the preliminary research of Blockchain in healthcare through bibliometric *** the data are extracted from the Scopus database,and the VOSviewer tool is used for analysis.A total of 1152 Scopus articles published between 2018 and 2022 are *** reveal that in 2022,the field of Blockchain experienced a notable increment in the number of publications and a significant growth *** Access became well known in this field and had a large number of *** is observed that China and India are the leading countries in terms of publications on *** study offers a number of recommendations that amateur and professional researchers can use as a benchmark before commencing a Blockchain investigation in the future.

关键词： Blockchain bibliometric healthcare VOSviewer

Isolation of Pleurotus fl orida derived acetylcholinesterase inhibitor for the treatment of cognitive dysfunction in mice

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Food Science and Human Wellness 2021年第4期10卷 490-496页

作者： Kudrat Randhawa Varinder Singh Sanimardeep Kaur Ravinder Kaur Suresh Kumar Richa Shri Department of Pharmaceutical Sciences and Drug Research Punjabi UniversityPatiala 147002India chitkara College of Pharmacy Chitkara UniversityPunjabIndia

Our earlier work showed that hydromethanol extract(HME)of Pleurotus fl orida had antioxidant and anticholinesterase *** study aimed at isolating the constituent responsible for the *** was subjected to bioactivity guided fractionation using in vitro anti-acetylcholinesterase(Ellman method)and antioxidant(DPPH scavenging assay).The most active constituent was evaluated in vivo employing ***(STZ)induced dementia in *** water maze test was used for evaluating memory,followed by biochemical estimations and histopathological *** guided fractionation resulted in isolation of resveratrol(identifi ed by IR,NMR and MS)and its content in *** orida fruiting bodies was 0.0098%(m/m,by a validated TLC densitometric method).It improved STZ induced dementia and neurodegeneration in mice by reducing brain acetylcholinesterase action and oxidative *** observed effects might be the presence of *** results further endorse that *** orida derived resveratrol can be a promising therapy for Alzheimer’s disease.

关键词： Acetylcholinesterase inhibitor Alzheimer’s disease Mushrooms Pleurotus fl orida Resveratrol

Imaging Review of Adolescent Tibial Tuberosity Fractures

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Open Journal of Medical Imaging 2013年第3期3卷 90-96页

作者： pranav chitkara Raja Anne Sherlin Lavianlivi Scott Lehto Srinivas Kolla Department of Radiology SUNY Downstate Medical Center Brooklyn USA pranav chitkara Raja Anne Sherlin Lavianlivi Scott Lehto Srinivas Kolla

Adolescent tibial tuberosity injuries are infrequent fractures usually seen in physically active adolescent males. Powerful contraction of the knee extensors by sudden acceleration or deceleration of the quadriceps muscle can result in avulsion fractures of the tibial tuberosity apophysis. In late puberty, as the growth plate closes, it is transiently replaced by fibrocartilaginous elements. This transition causes a period of weakened tensile strength, which predisposes the tibial tuberosity to traction injury. Classification of tibial tuberosity fractures includes types I-V with added A and B subsets to types I, II and III. Multidetector computed tomography (MDCT) is a useful tool to more accurately classify complex, higher grade adolescent tibial tuberosity avulsion fractures when compared to plain film. This aids in preoperative planning and, therefore, results in improved treatment and management.

关键词： Tibial Tuberosity Avulsion Fracture Radiology Orthopedic MDCT

Performance Estimation of Machine Learning Algorithms in the Factor Analysis of COVID-19 Dataset

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Computers, Materials & Continua 2021年第2期66卷 1921-1936页

作者： Ashutosh Kumar Dubey Sushil Narang Abhishek Kumar Satya Murthy Sasubilli Vicente García-Díaz chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Workday Integration Architect Huntington ColumbusOHUSA Department of Computer Science University of OviedoOviedoSpain

Novel Coronavirus Disease(COVID-19)is a communicable disease that originated during December 2019,when China officially informed the World Health Organization(WHO)regarding the constellation of cases of the disease in the city of ***,the disease started spreading to the rest of the *** this point in time,no specific vaccine or medicine is available for the prevention and cure of the *** research works are being carried out in the fields of medicinal and pharmaceutical sciences aided by data analytics and machine learning in the direction of treatment and early detection of this viral *** present report describes the use of machine learning algorithms[Linear and Logistic Regression,Decision Tree(DT),K-Nearest Neighbor(KNN),Support Vector Machine(SVM),and SVM with Grid Search]for the prediction and classification in relation to *** data used for experimentation was the COVID-19 dataset acquired from the Center for Systems Science and Engineering(CSSE),Johns Hopkins University(JHU).The assimilated results indicated that the risk period for the patients is 12–14 days,beyond which the probability of survival of the patient may *** addition,it was also indicated that the probability of death in COVID cases increases with *** death probability was found to be higher in males as compared to *** with Grid search methods demonstrated the highest accuracy of approximately 95%,followed by the decision tree algorithm with an accuracy of approximately 94%.The present study and analysis pave a way in the direction of attribute correlation,estimation of survival days,and the prediction of death *** findings of the present study clearly indicate that machine learning algorithms have strong capabilities of prediction and classification in relation to COVID-19 as well.

关键词： COVID-19 linear and logistic regression DT KNN SVM SVMwith grid search

Response of fuzzy clustering on different threshold determination algorithms in spectral change vector analysis over Western Himalaya, India

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Journal of Mountain Science 2017年第7期14卷 1391-1404页

作者： SINGH Sartajvir TALWAR Rajneesh Department of Electronics and Communication Engineering Chitkara University Chandigarh Group of Colleges Technical Campus

Abstract： Change detection is a standard tool to extract and analyze the earth＇s surface features from remotely sensed data. Among the different change detection techniques, change vector analysis （CVA） have an exceptional advantage of discriminating change in terms of change magnitude and vector direction from multispectral bands. The estimation of precise threshold is one of the most crucial task in CVA to separate the change pixels from unchanged pixels because overall assessment of change detection method is highly dependent on selected threshold value. In recent years, integration of fuzzy clustering and remotely sensed data have become appropriate and realistic choice for change detection applications. The novelty of the proposed model lies within use of fuzzy maximum likelihood classification （FMLC） as fuzzy clustering in CVA. The FMLC based CVA is implemented using diverse threshold determination algorithms such as double-window flexible pace search （DFPS）, interactive trial and error （T＆E）, and 3x3-pixel kernel window （PKW）. Unlike existing CVA techniques, addition of fuzzy clustering in CVA permits each pixel to have multiple class categories and offers ease in threshold determination process. In present work, the comparative analysis has highlighted the performance of FMLC based CVA overimproved SCVA both in terms of accuracy assessment and operational complexity. Among all the examined threshold searching algorithms, FMLC based CVA using DFPS algorithm is found to be the most efficient method.

关键词： Change vector analysis (CVA) Fuzzymaximum likelihood classification (FMLC) Double-window flexible pace search (DFPS) Interactive trialand error (T&E) Pixel kernel window (PKW)