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Design of a Lightweight Compressed Video Stream-Based Patient Activity Monitoring System

Computers, Materials & Continua 2024年第1期78卷 1253-1274页

作者： Sangeeta Yadav Preeti Gulia Nasib Singh Gill piyush kumar shukla Arfat Ahmad Khan Sultan Alharby Ahmed Alhussen Mohd Anul Haq Department of Computer Science&Applications Maharshi Dayanand UniversityRohtak124001India University Institute of Technology Rajiv Gandhi Proudyogiki VishwavidyalayaBhopal462033India Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia

Inpatient falls from beds in hospitals are a common *** falls may result in severe *** problem can be addressed by continuous monitoring of patients using *** advancements in deep learning-based video analytics have made this task of fall detection more effective and *** with fall detection,monitoring of different activities of the patients is also of significant concern to assess the improvement in their *** computation-intensive models are required to monitor every action of the patient *** requirement limits the applicability of such ***,to keep the model lightweight,the already designed fall detection networks can be extended to monitor the general activities of the patients along with the fall *** by the same notion,we propose a novel,lightweight,and efficient patient activity monitoring system that broadly classifies the patients’activities into fall,activity,and rest classes based on their *** whole network comprises three sub-networks,namely a Convolutional Neural Networks(CNN)based video compression network,a Lightweight Pose Network(LPN)and a Residual Network(ResNet)Mixer block-based activity recognition *** compression network compresses the video streams using deep learning networks for efficient storage and retrieval;after that,LPN estimates human ***,the activity recognition network classifies the patients’activities based on their *** proposed system shows an overall accuracy of approx.99.7% over a standard dataset with 99.63% fall detection accuracy and efficiently monitors different events,which may help monitor the falls and improve the inpatients’health.

关键词： Fall detection activity recognition human pose estimation accuracy

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Stock Prediction Based on Technical Indicators Using Deep Learning Model

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Computers, Materials & Continua 2022年第1期70卷 287-304页

作者： Manish Agrawal piyush kumar shukla Rajit Nair Anand Nayyar Mehedi Masud Department of Computer Science&Engineering University Institute of TechnologyRajiv Gandhi Proudyogiki VishwavidyalayaBhopal-462033Madhya PradeshIndia Faculty of Department of Computer Science&Engineering University Institute of TechnologyRajiv Gandhi Proudyogiki VishwavidyalayaBhopal-462033Madhya PradeshIndia Faculty of Department of Computer Science&Engineering School of Engineering and TechnologyJagran Lakecity UniversityBhopal462026Madhya PradeshIndia Graduate School Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Stock market trends forecast is one of the most current topics and a significant research challenge due to its dynamic and unstable *** stock data is usually non-stationary,and attributes are non-correlative to each *** traditional Stock Technical Indicators(STIs)may incorrectly predict the stockmarket *** study the stock market characteristics using STIs and make efficient trading decisions,a robust model is *** paper aims to build up an Evolutionary Deep Learning Model(EDLM)to identify stock trends’prices by using *** proposed model has implemented the Deep Learning(DL)model to establish the concept of *** analysis of the dataset of three most popular banking organizations obtained from the live stock market based on the National Stock exchange(NSE)-India,a Long Short Term Memory(LSTM)is *** datasets encompassed the trading days from the 17^(th) of Nov 2008 to the 15^(th) of Nov *** work also conducted exhaustive experiments to study the correlation of various STIs with stock price *** model built with an EDLM has shown significant improvements over two benchmark ML models and a deep learning *** proposed model aids investors in making profitable investment decisions as it presents trend-based forecasting and has achieved a prediction accuracy of 63.59%,56.25%,and 57.95%on the datasets of HDFC,Yes Bank,and SBI,*** indicate that the proposed EDLA with a combination of STIs can often provide improved results than the other state-of-the-art algorithms.

关键词： Long short term memory evolutionary deep learning model national stock exchange stock technical indicators predictive modelling prediction accuracy

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Assessing foundation behaviour under complex loading near tunnels

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Journal of Mountain Science 2024年第10期21卷 3503-3520页

作者： piyush kumar Vinay Bhushan CHAUHAN Aayush kumar Civil Engineering Department Madan Mohan Malaviya University of TechnologyGorakhpur 273010India

The stability of strip footings subjected to eccentrically inclined loads is critical for reliable foundation *** study investigates the effect of a circular unlined tunnel in a rock mass on the ultimate bearing capacity(UBC)of a foundation with width B under inclined and eccentric *** finite element limit analysis was employed to evaluate the reduction in UBC of the footing resting above a *** examined critical parameters include normalized load eccentricity(e/B),load inclination(β),and horizontal and vertical distances of the tunnel from the foundation(P/B and Q/B,respectively),along with rock mass *** results reveal that for e/B≥0.25 and≤60°,the reduction coefficient,Rc≥0.90,suggesting that the presence of a tunnel has a minimal impact on the load-bearing capacity of the footing,with failure primarily governed by load eccentricity and ***,potential failure mechanisms are explored,showing that at lower e/B,higherβ,and lower Q/B,the tunnel significantly affects footing's failure ***,at higher e/B and lowerβ,failure is due to rotational effects of footing,regardless of the tunnel's *** predict the Rc more accurately,due to the time-consuming nature of direct calculations,both MLR and ANN models were *** MLR model provided a baseline for comparison,while the ANN model,with a coefficient of determination(R2)of 0.98,demonstrated superior accuracy compared to the R2=0.96 of *** both approaches ensured robust and efficient predictions of *** Rc does not directly provide the reduced UBC of footing due to presence of tunnel,the study introduced bearing capacity factor(Nc)to enable direct calculation of the reduced UBC of *** findings offer theoretical guidelines for preliminary design and provide practitioners with an effective tool for evaluating UBC reduction in complex loading scenarios involving tunnels.

关键词： Unlined tunnel Shallow foundation FELA Rock Mass ANN MLR

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Photovoltaic performance of TiO_(2) and ZnO nanostructures in anthocyanin dye-sensitized solar cells

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Clean Energy 2024年第5期8卷 144-156页

作者： Velpuri Leela Devi Debasis De piyush Kuchhal Rupendra kumar Pachauri Electrical Cluster UPESDehradun 248007UttarakhandIndia Energy Institute Bengaluru(EIB) Centre of Rajiv Gandhi Institute of Petroleum Technology(RGIPT)Amethi560064India

This research paper reports the fabrication and evaluation of titanium dioxide(TiO_(2))-and zinc oxide(ZnO)-based dye-sensitized solar cells with anthocyanin dye extracted from ***_(2) and ZnO were synthesized using the hydrothermal synthesis and chemical bath deposition techniques,*** scanning electron microscopy analysis showed that TiO_(2) had nanopillars made up of nano rods with dimensions of 111.866,90.521,and 81.908 nm,while ZnO had hexagonal patterned nanorods with lengths of 283.294 nm and diameters of 91.782 *** absorption spectra of the pomegranate dye were analysed and the strongest absorp-tion peak was found to be at 520 nm,which corresponds to the existing anthocyanin *** band gap of pomegranate dye was noted down to be 2.45 *** performance of the dye-sensitized solar cells was evaluated using one sun illumination(100 mW/cm^(2))where the dye-sensitized solar cell with TiO_(2) nanopillars achieved an improved efficiency of 0.46%whereas the dye-sensitized solar cell with ZnO nanorods showed a considerably reduced efficiency of 0.42%.

关键词： DSSC ZnO and TiO_(2) photo anode anthocyanins hydrothermal synthesis technique chemical bath deposition technique

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Recent updates on nano-phyto-formulations based therapeutic intervention for cancer treatment

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Oncology Research 2024年第1期32卷 19-47页

作者： ABHISHEK WAHI MAMTA BISHNOI NEHA RAINA MEGHNA AMRITA SINGH piyush VERMA piyush kumar GUPTA GINPREET KAUR HARDEEP SINGH TULI MADHU GUPTA Department of Pharmaceutics School of Pharmaceutical SciencesDelhi Pharmaceutical Sciences and Research University(DPSRU)Pushp ViharNew Delhi110017India Department of Pharmaceutical Sciences Gurugram UniversityHaryana122003India Department of Life Sciences Sharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaUttar Pradesh201310India Department of Biotechnology Graphic Era(Deemed to be University)DehradunUttarakhand248002India Department of Pharmacology Shobhaben Pratapbhai Patel School of Pharmacy&Technology ManagementSVKM’s NMIMSVile Parle(West)Mumbai400056India Department of Bio-Sciences and Technology Maharishi Markandeshwar Engineering CollegeMaharishi Markandeshwar(Deemed to be University)MullanaAmbala133207India

Cancer is a leading cause of death globally,with limited treatment options and several *** agents often result in toxicity which long-term conventional *** are natural constituents that are more effective in treating various diseases with less toxicity than the chemotherapeutic agents providing alternative therapeutic approaches to minimize the *** phytoconstituents act in several ways and deliver optimum effectiveness against ***,the effectiveness of phyto-formulations in the management of cancers may be constrained due to challenges related to inadequate solubility,bioavailability,and *** presents a promising avenue for transforming current cancer treatment methods through the incorporation of phytochemicals into nanosystems,which possess a range of advantageous characteristics such as biocompatibility,targeted and sustained release capabilities,and enhanced protective *** holds significant potential for future advancements in cancer ***,this review aims to provide intensive literature on diverse nanocarriers,highlighting their applications as cargos for phytocompounds in ***,it offers an overview of the current advancements in the respective field,emphasizing the characteristics that contribute to favourable outcomes in both in vitro and in vivo ***,clinical development and regulatory concerns are also discussed to check on the transformation of the concept as a promising strategy for combination therapy of phytochemicals and chemotherapeutics that could lead to cancer management in the future.

关键词： Phyto-formulations Cancer Nanocarriers Nanotechnology Clinical development

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Sensitivity analysis of borehole thermal energy storage: examining key factors for system optimization

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Energy Storage and Saving 2024年第3期3卷 218-230页

作者： piyush kumar Kumawat Haiyan Zhou Kevin Kitz John McLennan Kody Powell Milind Deo Palash Panja Department of Chemical Engineering University of UtahSalt Lake CityUT 84112USA Energy&Geoscience Institute University of UtahSalt Lake CityUT 84108USA RESPEC Company LLC Rapid CitySD 57703USA Kitzworks LLC BoiseID 83717USA

Borehole thermal energy storage(BTES)systems have garnered significant attention owing to their efficacy in storing thermal energy for heating and cooling *** modeling is paramount for ensuring the precise design and operation of BTES *** study conducts a sensitivity analysis of BTES modeling by employing a comparative investigation of five distinct parameters on a wedge-shaped model,with implications extendable to a cylindrical *** parameters examined included two design factors(well spacing and grout thermal conductivity),two operational variables(charging and discharging rates),and one geological attribute(soil thermal conductivity).Finite element simulations were carried out for the sensitivity analysis to evaluate the round-trip efficiency,both on a per-cycle basis and cumulatively over three years of operation,serving as performance *** results showed varying degrees of sensitivity across different models to changes in these *** particular,the round-trip efficiency exhibited a greater sensitivity to changes in spacing and volumetric flow ***,this study underscores the importance of considering the impact of the soil and grout-material thermal conductivities on the BTES-system performance over *** optimized scenario is modelled and compared with the base case,over a comparative assessment based on a 10-year *** analysis revealed that,at the end of the 10-year period,the optimized BTES model achieved a cycle efficiency of 83.4%.This sensitivity analysis provides valuable insights into the merits and constraints of diverse BTES modeling methodologies,aiding in the selection of appropriate modeling tools for BTES system design and operation.

关键词： Borehole thermal energy storage(BTES) Outlet temperature Round-trip efficiency Heating and cooling modes Well spacing Grout thermal conductivity Charging and discharging rates Soil thermal conductivity

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Raman spectroscopy as a promising noninvasive tool in brain cancer detection

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Journal of Innovative Optical Health Sciences 2017年第5期10卷 39-46页

作者： piyush kumar Amity Institute of Biotechnology Amity University Mumbai Bhatan Post-SomatanePanvel Navi MumbaiMaharashtra 410206India

Despite intensive therapy regi men,brain cancers present with a poor prognosis,with an esti-mated median survival time of less than 15 months in case of *** detection and improved surgical resctions are suggested to enhance prognosis;several tools are being explored to achieve the *** spectroscopy(RS),a nondestructive and noninv asive technique,has been extensively explored in brain *** review summarizes RS based studies in brain cancers,categorized into studies on animal models,ex tivo human samples,and in tito human *** suggest RS as a promising tool which can aid in improving the accuracy of brain tumor *** adv ancements in instrumentation,market assessment,and clinical trials can facilitate translation of the technology as a noninvasive intraopenative guidance tool.

关键词： Ramnan spectroscopy brain cancers intraoperative glioma

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Measurement-while-drilling technique and its scope in design and prediction of rock blasting

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International Journal of Mining Science and Technology 2016年第4期26卷 711-719页

作者： Rai piyush Schunnesson Hakan Lindqvist Per-Arne kumar Uday Department of Mining Engineering Indian Institute of Technology Banaras Hindu University Varanasi 221005 India Division of Mining and Geotechnical Engineering Lulea Technological University Lulea 97187 Sweden Department of Mining Engineering Lulea Technological University Lulea 97187 Sweden Division of Operations and Maintenance Engineering Lulea Technological University Lulea 97187 Sweden

With rampant growth and improvements in drilling technology, drilling of blast holes should no longer be viewed as an arduous sub-process in any mining or excavation process. Instead, it must be viewed as an important opportunity to quickly and accurately measure the geo-mechanical features of the rock mass on-site, much in advance of the downstream operations. It is well established that even the slightest variation in lithology, ground conditions, blast designs vis-a-vis geologic features and explosives performance, results in drastic changes in fragmentation results. Keeping in mind the importance of state-of-the-art measurement-while-drilling （MWD） technique, the current paper focuses on integrating this technique with the blasting operation in order to enhance the blasting designs and results. The paper presents a preliminary understanding of various blasting models, blastability and other related concepts, to review the state-of-the-art advancements and researches done in this area. In light of this, the paper highlights the future needs and implications on drill monitoring systems for improved information to enhnnrp th~ hl^tin~ r^HIt~

关键词： Rock blasting Drill monitoring parameters Rock factor Drill rod vibrations

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Mo^(6+)Modified(K_(0.5)Na_(0.5))NbO_3 Lead Free Ceramics:Structural,Electrical and Optical Properties

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Journal of Materials Science & Technology 2014年第5期30卷 459-465页

作者： Jyoti Rani piyush kumar Patel Nidhi Adhlakha Hemant Singh K.L.Yadav Satya Prakash Smart Materials Research Laboratory Department of PhysicsIndian Institute of Technology Roorkee Metallurgical and Materials Engineering Department Indian Institute of Technology Roorkee

Lead free polycrystalline ceramics （K0.5Na0.5）Nb（1-x）MoxO3 （x = 0, 0.02, 0.04, 0.06 and 0.08） have been synthesized via solid state reaction method. The formation of single phase perovskite structure up to 6 mol% of Mo^6＋ has been confirmed by X-ray diffraction pattern. Impedance spectroscopy reveals that bulk resistance decreases with increasing temperature, which indicates negative temperature coefficient of resistance （NTCR） behaviour of the compounds. The diffuse reflectance spectroscopy results indicate a red shift of the band gap energy of K0.5Na0.5NbO3 （KNN, from 4.28 to 3.61 eV） with increasing Mo^6＋ concentration due to structural modification. The photoluminescence spectra of doped samples are composed of two emission bands at room temperature. One emission band is near band edge ultraviolet （UV） emission （354 nm） and other is visible emission band （-397 nm） which may explore the possibility of these ceramics to be used in optical device applications.

关键词： Ceramics Characterization Dielectric constant Impedance spectroscopy Optical band gap

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LoSI: Large Scale Location Inference Through FM Signal Integration and Estimation

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Big Data Mining and Analytics 2019年第4期2卷 319-348页

作者： Tathagata Mukherjee piyush kumar Debdeep Pati Erik Blasch Eduardo Pasiliao Liqin Xu Department of Computer Science University of Alabama in HuntsvilleHuntsvilleAL 35806USA CompGeom Inc. TallahasseeFL 32311USA Department of Statistics Texas A&M UniversityCollege StationTX 77843USA Air Force Research Laboratory RomeNY 13441USA Air Force Research Laboratory ShalimarFL 32579USA CompGeom Inc. TallahasseeFL 32579USA

In this paper we present a large scale, passive positioning system that can be used for approximate localization in Global Positioning System(GPS) denied/spoofed environments. This system can be used for detecting GPS spoofing as well as for initial position estimation for input to other GPS free positioning and navigation systems like Terrain Contour Matching(TERCOM). Our Location inference through Frequency Modulation(FM)Signal Integration and estimation(LoSI) system is based on broadcast FM radio signals and uses Received Signal Strength Indicator(RSSI) obtained using a Software Defined Radio(SDR). The RSSI thus obtained is used for indexing into an estimated model of expected FM spectrum for the entire United States. We show that with the hardware for data acquisition, a single point resolution of around 3 miles and associated algorithms, we are capable of positioning with errors as low as a single pixel(more precisely around 0.12 mile). The algorithm uses a largescale model estimation phase that computes the expected FM spectrum in small rectangular cells(realized using geohashes) across the Contiguous United States(CONUS). We define and use Dominant Channel Descriptor(DCD) features, which can be used for positioning using time varying models. Finally we use an algorithm based on Euclidean nearest neighbors in the DCD feature space for position estimation. The system first runs a DCD feature detector on the observed spectrum and then solves a subset query formulation to find Inference Candidates(IC).Finally, it uses a simple Euclidean nearest neighbor search on the ICs to localize the observation. We report results on 1500 points across Florida using data and model estimates from 2015 and 2017. We also provide a Bayesian decision theoretic justification for the nearest neighbor search.

关键词： Global Positioning System(GPS)-free positioning Frequency Modulation(FM) radio signals of opportunity nearest neighbor search

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