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Generating Time-Series Data Using Generative Adversarial Networks for Mobility Demand Prediction

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Computers, Materials & Continua 2023年第3期74卷 5507-5525页

作者： Subhajit chatterjee Yung-Cheol Byun Department of Computer Engineering Jeju National UniversityJeju-si63243Korea Department of Computer Engineering Major of Electronic EngineeringJeju National UniversityInstitute of Information Science&TechnologyJeju63243Korea

The increasing penetration rate of electric kickboard vehicles has been popularized and promoted primarily because of its clean and efficient *** kickboards are gradually growing in popularity in tourist and education-centric *** the upcoming arrival of electric kickboard vehicles,deploying a customer rental service is *** to its freefloating nature,the shared electric kickboard is a common and practical means of *** plans for shared electric kickboards are required to increase the quality of service,and forecasting demand for their use in a specific region is *** demand accurately with small data is *** data is necessary for training machine learning algorithms for effective *** generation is a method for expanding the amount of data that will be further accessible for *** this work,we proposed a model that takes time-series customers’electric kickboard demand data as input,pre-processes it,and generates synthetic data according to the original data distribution using generative adversarial networks(GAN).The electric kickboard mobility demand prediction error was reduced when we combined synthetic data with the original *** proposed Tabular-GAN-Modified-WGAN-GP for generating synthetic data for better prediction *** modified The Wasserstein GAN-gradient penalty(GP)with the RMSprop optimizer and then employed Spectral Normalization(SN)to improve training stability and faster ***,we applied a regression-based blending ensemble technique that can help us to improve performance of demand *** used various evaluation criteria and visual representations to compare our proposed model’s *** data generated by our suggested GAN model is also *** TGAN-Modified-WGAN-GP model mitigates the overfitting and mode collapse problem,and it also converges faster than previous GAN models for synthetic data creation.

关键词： Machine learning generative adversarial networks electric vehicle time-series TGAN WGAN-GP blend model demand prediction regression

Modeling the drain current and its equation parameters for lightly doped symmetrical double-gate MOSFETs

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Journal of Semiconductors 2015年第4期36卷 44-50页

作者： Mini Bhartia Arun Kumar chatterjee Electronics and Communication Department Thapar Institute of Engineering and Technology

A 2D model for the potential distribution in silicon film is derived for a symmetrical double gate MOS- FET in weak inversion. This 2D potential distribution model is used to analytically derive an expression for the subthreshold slope and threshold voltage. A drain current model for lightly doped symmetrical DG MOSFETs is then presented by considering weak and strong inversion regions including short channel effects, series source to drain resistance and channel length modulation parameters. These derived models are compared with the simulation results of the SILVACO （Atlas） tool for different channel lengths and silicon film thicknesses. Lastly, the effect of the fixed oxide charge on the drain current model has been studied through simulation. It is observed that the obtained analytical models of syrnmetrical double gate MOSFETs are in good agreement with the simulated results for a channel length to silicon film thickness ratio greater than or equal to 2.

关键词： double gate MOSFET 2D potential distribution model drain current model

Computer vision-based limestone rock-type classification using probabilistic neural network

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Geoscience Frontiers 2016年第1期7卷 53-60页

作者： Ashok Kumar Patel Snehamoy chatterjee Department of Mining Engineering NIT Rourkela Department of Geological and Mining Engineering and Sciences Michigan Technological University

Proper quality planning of limestone raw materials is an essential job of maintaining desired feed in cement plant. Rock-type identification is an integrated part of quality planning for limestone mine. In this paper, a computer vision-based rock-type classification algorithm is proposed for fast and reliable identification without human intervention. A laboratory scale vision-based model was developed using probabilistic neural network（PNN） where color histogram features are used as input. The color image histogram-based features that include weighted mean, skewness and kurtosis features are extracted for all three color space red, green, and blue. A total nine features are used as input for the PNN classification model. The smoothing parameter for PNN model is selected judicially to develop an optimal or close to the optimum classification model. The developed PPN is validated using the test data set and results reveal that the proposed vision-based model can perform satisfactorily for classifying limestone rocktypes. Overall the error of mis-classification is below 6%. When compared with other three classification algorithms, it is observed that the proposed method performs substantially better than all three classification algorithms.

关键词： Supervised classification Probabilistic neural network Histogram based features Smoothing parameter Limestone

Fast Identification of Symmetrical or Asymmetrical Faults During Power Swings with Dual Use Line Relays

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CSEE Journal of Power and Energy Systems 2020年第1期6卷 184-192页

作者： Soumesh chatterjee Biman Kumar Saha Roy National Institute of Technology Agartala AgartalaTripura-799046India National Institute of Technology Durgapur DurgapurWest Bengal-713209India

Increasing power demand,penetration of renew-ables,and limitations of necessary grid expansion are proffering new challenges to existing power system protection and control ***,with the advancement in intelligent elec-tronic devices and relaying technology,fast,accurate and reliable protection schemes can be developed for smart power *** this paper,a new protection scheme based on admittance and power change has been proposed with dual-use line relays to detect symmetrical/asymmetrical faults in power systems.A large number of fault environments have been simulated by varying fault distances from relay location,fault resistance,and power angle in single machine infinite bus and WSCC 9-bus *** crucial decisive fault scenarios *** in/far end faults,faults in series compensated line,faults during asymmetrical swings,switching ON/OFF large loads,single and multi-modal swings have also been verified for the proposed *** this paper,for the first time,detection of faults during power swings have been examined and verified in the presence of wind *** simulation results show the proficiency of the proposed algorithm for detecting faults in the presence or absence of power swings.

关键词： Dual use line relays(DULR) power swing power system protection synchrophasor measurements

Automatic relationship extraction from agricultural text for ontology construction

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Information Processing in Agriculture 2018年第1期5卷 60-73页

作者： Neha Kaushik Niladri chatterjee Indian Institute of Technology Delhi Hauz KhasNew Delhi 110016India

In the present era of Big Data the demand for developing efficient information processing techniques for different applications is expanding *** such possible application is automatic creation of *** an ontology is often found to be helpful for answering queries for the underlying *** present work proposes a scheme for designing an ontology for agriculture *** proposed scheme works in two *** the first step it uses domain-dependent regular expressions and natural language processing techniques for automatic extraction of vocabulary pertaining to agriculture *** the second step semantic relationships between the extracted terms and phrases are identified.A rulebased reasoning algorithm RelExOnt has been proposed for the said *** evaluation of the term extraction output yields precision and recall of 75.7%and 60%,*** relation extraction algorithm,RelExOnt performs well with an average precision of 86.89%.

关键词： Relation extraction Term EXtraction NLP Ontology Knowledge-based relation extraction Self-supervised relation extraction

COEXISTENCE OF PLANKTON MODEL WITH ESSENTIAL MULTIPLE NUTRIENT IN CHEMOSTAT

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International Journal of Biomathematics 2013年第6期6卷 79-103页

作者： ANAL chatterjee SAMARES PAL Department of Mathematics University of Kalyani Kalyani 751235 India

We consider a phytoplankton-zooplankton interaction model which depends on two complementary nutrients. For a realistic representation in chemostat plankton ecosystem, we have incorporated various natural phenomena such as dissolved limiting nutrients with nutrient uptake functions and yield constants. For the model with two different constant nutrient inputs with same constant washout rate, existence and stability of non-negative equilibria as well as persistence are given. We analyze the behavior of solution of model in order to answer the biological question and seek to determine the limiting behavior of the surviving organisms and the nutrients. It is observed that the constant nutri- ent inputs of two complementary nutrients play an important role to change steady state behavior of the system. Further it is observed that if the dilution rate of chemostat crosses certain critical value, the system enters into Hopf-bifurcation. Finally, we have derived the explicit algorithm which determines the direction of Hopf-bifurcation. Computer simulations have been carried out to illustrate different analytical results.

关键词： Nutrient plankton yield S-limited R-limited equilibria

The Flight Dynamics of Tapejara,a Pterosaur From the Early Cretaceous of Brazil with a Large Cranial Crest

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Acta Geologica Sinica(English Edition) 2012年第6期86卷 1377-1388页

作者： Sankar chatterjee R.Jack TEMPLIN Department of Geosciences Museum of Texas Tech University Aerodynamic Laboratory National Research Council

Tapejara wellnhoferi, a small azhdarchoid pterodactyloid from the Early Cretaceous Santana Formation of Brazil, provides critical information about the aerodynamic function of its spectacular head crest. The cranial crests in pterodactyloids were sexually dimorphic and are thought to have evolved in adult males in response to female mate choice. However, the location of cranial crests in front of the center of gravity would create instability in the yaw axis during flight and may seem like a handicap. Vertically aligned webbed feet probably suppressed the yawing rotations and instability from the crest. Here we show that the crest functioned as a front rudder to make agile turn and mediate flight control. A computer simulation model suggests that Tapejara had a large excess of muscle power available above the power required for continuous flapping flight. It could easily takeoff from a perch, ground, or water surface and land safely on the ground. It was an excellent glider with a gliding angle close to 4~ and a cruising speed of 27 km/h. Tapejara could soar efficiently on the windward side of cliffs or circle on rising thermals over tropical waters for efficient long-distance flight. Various control surfaces in the wings of Tapejara analogous to the slat, aileron, elevator, fin, rudder, and horizontal stabilizer of an aircraft made pterodactyloids versatile flyers.

关键词： Tapejara Cretaceous pterodactyloids cranial crest flight Brazil

Geochemistry of Harappan potteries from Kalibangan and sediments in the Ghaggar River： Clues for a dying river

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Geoscience Frontiers 2018年第4期9卷 1203-1211页

作者： Anirban chatterjee Jyotiranjan S.Ray Physical Research Laboratory Ahmedabad India

The ephemeral Ghaggar-Hakra River of northwestern India has always been considered to be the remnant of an ancient perennial glacier-fed river（Vedic Saraswati）. The exact reason and timing of major hydrological change of this river remains speculative. The river＇s purported association with the zenith of the Harappan civilisation remains a conjecture because the timings of its fluvial past are still being debated. In this study we have made an attempt to resolve this issue using geochemical provenance of sediments from some dated horizons in the Ghaggar flood plain and that of the material used in the potteries from the Mature Harappan period（4600-3900 yr BP） at Kalibangan. Sampled sedimentary horizons were dated by radiocarbon and optically stimulated luminescence（OSL） methods. Results of our study from the Ghaggar alluvium indicate that the river did have glacial sources during the early Holocene. However, the data from the potteries suggest that during the Mature Harappan period, the sediments in the Ghaggar as used by the potters did not have a higher Himalayan provenance and hence, were not derived from glaciated *** findings imply that during the time of the Mature Harappans the Ghaggar had already become a foothill-fed river.

关键词： Ghaggar alluvium Holocene Sediment provenance Mature Harappan pottery Geochemistry Vedic Saraswati

MULTIGRID TECHNIQUE APPLIED TO LINEAR TIME-DEPENDENT HYPERBOLIC SYSTEMS

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Transactions of Nanjing University of Aeronautics and Astronautics 2013年第3期30卷 243-247页

作者： Naren Deore Avijit chatterjee Pimpri Chinchwad College of Engineering Department of Aerospace Engineering India Institution of Technology

A system of linear time-dependent hyperbolic partial differential equations in the form of the time-domain Maxwell′s equations is numerically solved using ageometric multigrid *** multilevel method is an adaptation of Ni′s cell-vertex based multigrid technique,originally proposed for accelerating steady state convergence of nonlinear time-dependent Euler equations of gas *** discuss issues pertaining to the application of the geometric multigrid method to a system of equations where the major issue is of accurately propagating linear waves over large distances leading to major constraints on the required grid resolution in terms of points-perwavelength.

关键词： multigrid linear hyperbolic finite volume maxwell