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Identification and Classification of Multiple Power Quality Disturbances Using a Parallel Algorithm and Decision Rules

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Energy Engineering 2022年第2期119卷 473-497页

作者： Nagendra Kumar Swarnkar Om prakash Mahela Baseem Khan Mahendra Lalwani Department of Electrical Engineering Rajasthan Technical UniversityKotaIndia Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam LimitedJaipurIndia Department of Electrical and Computer Engineering Hawassa UniversityAwassaEthiopia

A multiple power quality(MPQ)disturbance has two or more power quality(PQ)disturbances superimposed on a voltage signal.A compact and robust technique is required to identify and classify the MPQ *** manuscript investigated a hybrid algorithm which is designed using parallel processing of voltage with multiple power quality(MPQ)disturbance using stockwell transform(ST)and hilbert transform(HT).This will reduce the computational time to identify theMPQdisturbances,whichmakes the algorithm fast.A MPQ identification index(IPI)is computed using statistical features extracted from the voltage signal using the ST and *** has different patterns for various types of MPQ disturbances which effectively identify the MPQ disturbances.A MPQ time location index(IPL)is computed using the features extracted from the voltage signal using ST and *** effectively identifies the initiation and end of PQ disturbances and thereby locates the MPQ events with respect to *** of MPQ disturbances is performed using decision rules in both the noise-free and noisy environments with a 20 dB noise to signal ratio(SNR).The performance of the proposed hybrid algorithm using ST and HT with rule-based decision tree(RBDT)is better compared to the ST and RBDT techniques in terms of accuracy of classification of MPQ *** software is used to perform the study.

关键词： Decision rules hilbert transform multiple PQ disturbance power quality stockwell transform

Sarcopenia in Chronic Liver Disease:A Metabolic Perspective

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Journal of Clinical and Translational Hepatology 2022年第6期10卷 1213-1222页

作者： Ramesh Kumar Sabbu Surya prakash Rajeev Nayan Priyadarshi Utpal Anand Department of Gastroenterology All India Institute of Medical SciencesPatnaIndia Department of Radiodiagnosis All India Institute of Medical SciencesPatnaIndia Department of Surgical Gastroenterology All India Institute of Medical SciencesPatnaIndia

Sarcopenia,a condition of low muscle mass,quality,and strength,is commonly found in patients with chronic liver disease(CLD)and is associated with adverse clinical out-comes including reduction in quality of life,increased mor-tality,and complications.A major contributor to sarcopenia in CLD is the imbalance in muscle protein turnover wherein changes in various metabolic factors such as hyperammone-mia,amino acid deprivation,hormonal imbalance,gut dys-biosis,insulin resistance,chronic inflammation,*** important *** particular,hyperammonemia is a key mediator of the liver-gut axis and is known to contribute to sarcopenia by various mechanisms including increased ex-pression of myostatin,increased phosphorylation of eukary-otic initiation factor 2a,cataplerosis ofα-ketoglutarate,mi-tochondrial dysfunction,increased reactive oxygen species that decrease protein synthesis and increased autophagy-mediated *** muscle is a major organ of insulin-induced glucose metabolism,and sarcopenia is closely linked to insulin resistance and metabolic *** with liver cirrhosis are in a hypermetabolic state that is associated with catabolism and depletion of amino acids,particularly branched-chain amino *** can have significant implications for nonalcoholic fatty liver disease,the most common form of CLD worldwide,because of the close link between metabolic syndrome and *** review discusses the potential metabolic derange-ment as a cause or effect of sarcopenia in CLD,as well as interorgan crosstalk,which that might help identifying a novel therapeutic strategies.

关键词： Sarcopenia Liver cirrhosis Chronic liver disease Metabolism Hy-perammonemia

Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects

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Computer Systems Science & Engineering 2023年第5期45卷 1211-1231页

作者： Vineet Sharma Mohammad Zubair Khan Shivani Batra Abdullah Alsaeedi prakash Srivastava Department of Computer Science and Engineering KIET Group of InstitutionsDelhi-NCRGhaziabad201206India Department of Computer Science and Information Taibah UniversityMedina42353Saudi Arabia Department of Computer Science Taibah UniversityMedina42353Saudi Arabia Department of Computer Science and Engineering Graphic Era(Deemed to be University)Dehradun248002India

The amount of needed control messages in wireless sensor networks(WSN)is affected by the storage strategy of detected *** broadcasting superfluous control messages consumes excess energy,the network lifespan can be extended if the quantity of control messages is *** this study,an optimized storage technique having low control overhead for tracking the objects in WSN is *** basic concept is to retain observed events in internal memory and preserve the relationship between sensed information and sensor nodes using a novel inexpensive data structure entitled Ordered Binary Linked List(OBLL).Whenever an object passes over the sensor area,the recognizing sensor can immediately produce an OBLL along the object’s *** retrieve the entire information,the OBLL can be traversed with logarithmic complexity which is much less than the traversing complexity of existing linked list *** evaluation and simulations were carried out to ensure that the suggested technique minimizes the number of messages and thus saving energy and extending the network life.

关键词： Energy conservation linked list object tracking wireless sensor networks

Physicochemical and in Vitro Antibacterial Evaluation of Metronidazole Loaded Eudragit S‑100 Nanofbrous Mats for the Intestinal Drug Delivery

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Advanced Fiber Materials 2022年第1期4卷 76-88页

作者： Priyanka prakash Rade Prabhanjan Shridhar Giram Ajinkya A.Shitole Neeti Sharma Baijayantimala Garnaik Polymer Science and Engineering Division CSIR-National Chemical LaboratoryPune 411008India Academy of Scientifc and Innovative Research(AcSIR) Ghaziabad 201002India Symbiosis School of Biological Sciences Symbiosis International(Deemed University)Pune 412115India

Metronidazole(MTZ)loaded Eudragit S-100(ES-100)nonwoven nanofbrous mats were successfully electrospun and evaluated for intestinal drug *** was varied in the range of 1–15%(w/w)in ES-100 nanofbrous mats,the morphological characterization of nanofbrous mats was carried out using FE-SEM and the average diameter of nanofber was found in the range 150–600 *** and DSC demonstrated the amorphous nature of MTZ in ES-100 nanofbrous *** contact angle analysis confrmed the hydrophobic *** mechanical strength of ES-100 nanofbrous mats decreased with increasing MTZ *** drug release profles showed 74%MTZ release from ES-100d within 2 h at pH 6.8 which is the colonic *** activities against gram-positive bacteria(Staphylococcus aureus)and gramnegative bacteria(Escherichia coli)showed that the ES-100 nanofbrous mats loaded with MTZ exhibited good activity.

关键词： ES-100 Metronidazole Nanofbers Antibacterial Intestinal drug delivery

Antioxidant phenolic compounds from seeds of Hordeum vulgare *** diabetic nephropathy in streptozotocin-induced diabetic rats

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Journal of Traditional Chinese Medical Sciences 2023年第3期10卷 353-361页

作者： Renuka Mahajan Satyendra Prasad Sanjana Gaikwad prakash Itankar Nagpur College of Pharmacy Dr.Babasaheb Ambedkar Technological UniversityNagpur 441110India Department of Pharmaceutical Sciences Rashtrasant Tukadoji Maharaj Nagpur UniversityNagpur 440033India

Objective:To examine the effects of hydroalcoholic extract and fractions of Hordeum vulgare Linn.(***,Da Mai)on streptozotocin(STZ)-induced diabetic nephropathy in Sprague-Dawley rat ***:The study involved preliminary phytochemical screening of extract and fractions,estimation of secondary metabolites,chromatographic studies using high performance liquid chromatography(HPLC),antioxidant potential using 1,1-diphenyl-2-picrylhydrazyl(DPPH),nitric oxide radical scavenging and reducing power methods along with the determination of potential against diabetic nephropathy in STZ-induced rat ***:The phytochemical evaluation of the hydroalcoholic extract of *** and fractions revealed the presence of various phytoconstituents such as alkaloids,saponins,tannins,flavonoids,and *** chromatographic analysis indicated the peak complementing marker compound epicatechin and significant antioxidant activity in the extract and aqueous ***-induced rats showed abnormal levels of serum albumin,creatinine,total cholesterol,blood urea nitrogen(BUN),and triglycerides,and urine albumin and creatinine,which returned to normal after 8 weeks of treatment with hydroalcoholic extract(400 mg/kg)and aqueous fraction(50 mg/kg)of ***:Hydroalcoholic extract(400 mg/kg)and aqueous fraction(50 mg/kg)of *** have significant antioxidant potential and positive effects on diabetic *** fractionation and optimization increase the concentration of polyphenols in aqueous extract,causing a decrease in the dose required for effects against diabetic nephropathy.

关键词： Fractionation HPLC DPPH Nitric oxide radical scavenging Serum albumin Creatinine Blood urea nitrogen

Evaluation of auditory working memory in Bharatanatyam dancers

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Journal of Otology 2022年第2期17卷 95-100页

作者： Praveen prakash Anjana M.Nath Mereena Joy Prashanth Prabhu Department of Audiology All India Institute of Speech and HearingManasagangothriMysuru570006India Department of Speech Pathology and Audiology Amrita Institute of Medical SciencesKochi682041India

Background:Neuroplasticity is a phenomenon exhibited by our nervous system as an indicator of overall development and in response to training,injury/loss of particular function,treatment/drugs and as a result of stimulation from the surrounding ***:The aim of the current study was to assess the auditory working memory capacities in Bharatanatyam ***:The participants comprised fifty-four females with normal hearing sensitivity who belonged to two ***-I consisted of 27 individuals who underwent formal training in Bharatanatyam for a minimum period of three ***-II consisted of the age-matched control group,consisting of 27individuals who were *** auditory working memory tasks included arranging the English digits presented binaurally in forward,backward,ascending,and descending *** maximum values(for the length of sequence arranged),midpoint values(average score),and response time for each task were noted down and compared among ***:The scores were compared using the Mann-Whitney U test,which revealed enhanced working memory exhibited by dancers for maximum values and midpoint scores for all three tasks except ascending *** was also noted that the dancers exhibited a shorter response time compared to nondancers for all the tasks except ascending ***:The current study highlights an enhanced auditory working memory capacity in Bharatanatyam dancers,which could be perceived as evidence of neuroplastic changes induced in the auditory and motor cortex as a consequence of extensive stimulation for auditory processing abilities and motor planning resulting from long-term dance training and regular practice.

关键词： Neuroplasticity Bharatanatyam dance Dance training Auditory processing abilities

Deep learning long short-term memory combined with discrete element method for porosity prediction in gravel-bed rivers

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International Journal of Sediment Research 2023年第1期38卷 128-140页

作者： Duong Tran Anh Ahad Hasan Tanim Daniel prakash Kushwaha Quoc Bao Pham Van Hieu Bui HUTECH University Center for River Harbor and Landslide Research Chittagong University of Engineering & Technology Govind Ballabh Pant University of Agriculture and Technology Institute of Applied Technology Thu Dau Mot University Faculty of Mechanical Engineering Thuyloi University

The porosity of gravel riverbed material often is an essential parameter to estimate the sediment transport rate, groundwater-river flow interaction, river ecosystem, and fluvial geomorphology. Current methods of porosity estimation are time-consuming in simulation. To evaluate the relation between porosity and grain size distribution(GSD), this study proposed a hybrid model of deep learning Long Short-Term Memory(LSTM) combined with the Discrete Element Method(DEM). The DEM is applied to model the packing pattern of gravel-bed structure and fine sediment infiltration processes in threedimensional(3D) space. The combined approaches for porosity calculation enable the porosity to be determined through real time images, fast labeling to be applied, and validation to be done. DEM outputs based on the porosity dataset were utilized to develop the deep learning LSTM model for predicting bed porosity based on the GSD. The simulation results validated with the experimental data then segregated into 800 cross sections along the vertical direction of gravel pack. Two DEM packing cases, i.e., clogging and penetration are tested to predict the porosity. The LSTM model performance measures for porosity estimation along the z-direction are the coefficient of determination(R~2), root mean squared error(RMSE), and mean absolute error(MAE) with values of 0.99, 0.01, and 0.01 respectively, which is better than the values obtained for the Clogging case which are 0.71, 0.14, and 0.03, respectively. The use of the LSTM in combination with the DEM model yields satisfactory results in a less complex gravel pack DEM setup, suggesting that it could be a viable alternative to minimize the simulation time and provide a robust tool for gravel riverbed porosity prediction. The simulated results showed that the hybrid model of the LSTM combined with the DEM is reliable and accurate in porosity prediction in gravel-bed river test samples.

关键词： Numerical modeling Discrete element method LSTM Bed porosity Gravel-bed river

Integrated Approach of Brain Disorder Analysis by Using Deep Learning Based on DNA Sequence

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Computer Systems Science & Engineering 2023年第6期45卷 2447-2460页

作者： Ahmed Zohair Ibrahim P.prakash V.Sakthivel P.Prabu Computer Sciences Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhP.O.Box 8442811671KSA School of Computer Scence and Engineering Vellore Institute of TechnologyChennai600127India Department of Computer Science CHRIST(Deemed to be University)Bangalore560029India

In order to research brain problems using MRI,PET,and CT neuroimaging,a correct understanding of brain function is *** has been considered in earlier times with the support of traditional *** learning process has also been widely considered in these genomics data processing *** this research,brain disorder illness incliding Alzheimer’s disease,Schizophrenia and Parkinson’s diseaseis is analyzed owing to misdetection of disorders in neuroimaging data examined by means fo traditional ***,deep learning approach is incorporated here for classification purpose of brain disorder with the aid of Deep Belief Networks(DBN).Images are stored in a secured manner by using DNA sequence based on JPEG Zig Zag Encryption algorithm(DBNJZZ)*** suggested approach is executed and tested by using the performance metric measure such as accuracy,root mean square error,Mean absolute error and mean absolute percentage *** DBNJZZ gives better performance than previously available methods.

关键词： Deep belief networks zig zag deep learning mean absolute percentage error mean absolute error root mean square error DNA genomics

Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications

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Computers, Materials & Continua 2022年第6期71卷 5659-5676页

作者： Punit Gupta Sanjit Bhagat Dinesh Kumar Saini Ashish Kumar Mohammad Alahmadi prakash Chandra Sharma School of Computing&Information Technology Manipal University JaipurJaipur303007India School of Basic Sciences Manipal University JaipurJaipur303007India Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah23218Saudi Arabia

In the next generation of computing environment e-health care services depend on cloud *** Cloud computing environment provides a real-time computing environment for e-health care *** these services generate a huge number of computational tasks,real-time computing and comes with a deadline,so conventional cloud optimizationmodels cannot fulfil the task in the least time and within the *** overcome this issue many resource optimization meta-heuristic models are been proposed but these models cannot find a global best solution to complete the task in the least time and manage utilization with the least simulation *** order to overcome existing issues,an artificial neural-inspired whale optimization is proposed to provide a reliable solution for healthcare *** this work,two models are proposed one for reliability estimation and the other is based on whale optimization technique and neural network-based binary *** predictive model enhances the quality of service using performance metrics,makespan,least average task completion time,resource usages cost and utilization of the *** as compared to existing algorithms the proposedANN-WHOalgorithms prove to improve the average start time by 29.3%,average finish time by 29.5%and utilization by 11%.

关键词： Cloud computing whale optimization health care resource optimization