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Inclusion of Wikipedia, a language specific knowledge resource to generate and update a synset in WordNet

International Journal of technology, Policy and Management 2019年第4期19卷 405-419页

作者： Rai, Sunny Jain, Amita Pandey, Priyank Department of Computer Engineering Netaji Subhas Institute of Technology Delhi110078 India School of Engineering Sciences Mahindra Ecole Centrale Hyderabad500043 India Department of Computer Science and Engineering Ambedkar Institute of Advanced Communication Technologies and Research Delhi110031 India

Lack of competent lexical resources is a ubiquitous fact that negatively affects the development of natural language processing tools for not so widely spoken languages. Recently, projects such as Indo WordNet have significantly reduced the scarcity of lexicons for Indian languages. However, their coverage is still a matter of concern. The cost and time incurred are other limiting factors. The reluctance to automate the process of lexicon generation is majorly credited to the poor precision of the generated synsets. In this paper, we strive to tackle these issues by incorporating language-specific knowledge resources which ensures the authenticity of the generated synsets along with the inclusion of endemic words. We propose a corpus-based approach for automated synset generation which visibly improves the quality of the generated synsets. The experiments performed on a manually created dataset of Hindi words provide a precision of 81.56% and an F-measure of more than 72%. © 2019 Inderscience Enterprises Ltd.

关键词： Support vector machines

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Predictive Maintenance of Air Conditioning Systems Using Supervised Machine Learning 20

Predictive Maintenance of Air Conditioning Systems Using Sup...

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20th International Conference on Intelligent System Application to Power Systems, ISAP 2019

作者： Trivedi, Shrishti Bhola, Sahil Talegaonkar, Archit Gaur, Prerna Sharma, Shreya Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi India Computer Science Engineering Indraprastha Institute of Information Technology New Delhi India

ISBN: (纸本)9781728131924

Various types of faults can occur in an air conditioner resulting in a decrease in efficiency, a rise in energy consumption, and increasing maintenance costs. Hence predictive maintenance becomes important. In this paper, the two most common types of faults - gas leakage and capacitor malfunction have been detected using the decision tree machine learning algorithm. The data for faulty and operating air conditioners have been collected using distributed sensors, microcontroller, and dedicated circuitry and analyzed using MATLAB Classification App Learner Toolbox. The results obtained by the decision tree for fault detection and diagnosis and load monitoring were then compared with results obtained by support vector machine and the prediction accuracy for the decision tree was found to be higher. The presented research work can identify the air conditioner which is faulty as well as predicts the type of fault at an early stage to do maintenance beforehand. © 2019 IEEE.

关键词： Air conditioning

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Measurement of Neutron Capture Cross-Section of 186w Isotope in the Energy Range from 0.6-3.2 Mev

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SSRN 2023年

作者： Mehta, Mayur Singh, N.L. Gandhi, A. Makwana, R. subhash, P.V. Pachuau, Rebecca Suryanarayana, S.V. Nayak, B.K. Naik, H. Katovsky, K. Department of Physics Faculty of Science The M.S. University Baroda390002 India Institute for Plasma Research Gandhinagar382428 India Department of Physics Netaji Subhas University of Technology Dwarka Delhi110078 India Department of Physics Banaras Hindu University Varanasi221005 India ITER-INDIA Gandhinagar382428 India HomiBhabha National Institute Anushaktinagar Mumbai400094 India Nuclear Physics Division Bhabha Atomic Research Centre Trombay Mumbai400085 India Radiochemistry Division Bhabha Atomic Research Centre Trombay Mumbai400085 India Department of Electrical Power Engineering Brno University of Technology Brno61600 Czech Republic

The 186W(n,γ)187W reaction cross-section was measured at the neutron energies of 0.62±0.01, 2.14±0.02 and 3.17±0.02 MeV by using the activation and off-line γ-ray spectrometric technique. The 115In(n,n’)115mIn monitor reaction was used to calculate neutron flux during the experiments. Neutron beams were produced from the 7Li(p,n)7Be reaction by using the proton energies of 2.6, 4 and 5 MeV at Folded Tandem Ion-beam Accelerator (FOTIA) facility, BARC-Mumbai. The γ-ray self-absorption, neutron flux attenuation and low energy corrections have been corrected in the experiment. The comparison of experimentally measured reaction cross-sections were carried out with the theoretically calculated data based on TALYS-1.95 and EMPIRE-3.2.3 nuclear codes. The experimental and theoretical reaction cross-sections were also compared with the evaluated data from ENDF/B-VIII.0, JEFF-3.3, JENDL-4.0, ROSFOND-2010 and TENDL-2019 libraries. The present results are found to be in good agreement with theoretical as well as evaluated data. © 2023, The Authors. All rights reserved.

关键词： Neutron flux

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Activation Cross Section for the (N, 2n) And (N, P) Reactions on 103rh, 48ti and 51cr from Reaction Threshold Up to 25 Mev Energy Region

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SSRN 2022年

作者： Singh, R.K. Singh, N.L. Mehta, Mayur Chauhan, Rakesh Suryanarayana, S.V. Makwana, Rajnikant Nayak, B.K. Naik, Haladhara Varmuza, Jan Katovsky, K. Department of Physics Faculty of Science The M. S. University of Baroda Vadodara390002 India Department of Physics Netaji Subhas University of Technology Dwarka Delhi110078 India Institute for Plasma Research Gandhinagar382428 India Nuclear Physics Division Bhabha Atomic Research Centre Mumbai India Radiochemistry Division Bhabha Atomic Research Centre Mumbai India Department of Electrical Power Engineering Brno University of Technology Brno61600 Czech Republic

Activation and off-line γ-ray spectrometric methods were used to measure the 103 Rh(n, 2n) 102 Rh reaction cross section at two different neutron energies. The standard 27 Al (n,α) 24 Na reference reaction was used to normalise neutron flux. The proton beam from the 14UD BARC-TIFR Pelletron facility in Mumbai, India, was utilised to create high-energy quasi-monoenergetic neutrons via the 7 Li(p, n) reaction. Statistical model calculations including the level density, pre-equilibrium and optical potential model were performed using the TALYS (ver. 1.96) and EMPIRE (ver. 3.2.3) reaction codes. In addition, because of considerable discrepancies in measured data, the literature (n, p) reaction cross section of 52 Cr and 48 Ti targets were examined theoretically in the present work. The measured cross sections are discussed and compared with the latest evaluated data of the FENDL-3.2b, CENDL-3.2, TENDL-2019, JENDL-5.0, and ENDF/B-VIII.0 libraries, and experimental data based on the EXFOR compilation. The theoretical investigation of the reaction cross section was performed for the ground and isomeric state for the first time from reaction threshold to 25 MeV energies. The experimental data corresponding to the ground, isomeric state and the isomeric ratio were reproduced in a consistent way by the theoretical calculations. The present experimental results are good with certain literature data and theoretical values. © 2022, The Authors. All rights reserved.

关键词： Chemical activation

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PHOTOGENIC-A Tool for Best Photo Generation from Multiple Group Photographs 4

PHOTOGENIC-A Tool for Best Photo Generation from Multiple Gr...

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4th International Conference on Information Systems and computer Networks, ISCON 2019

作者： Singh, Karanjot Agarwal, Saurabh Sharma, Deepak Netaji Subhas Institute of Technology Department of Instrumentation and Control Engineering New Delhi India ASET AUUP Department of Computer Science and Engineering Noida India

ISBN: (纸本)9781728136516

Cameras play an important role in capturing precious moments of people's lives in a photograph that can be seen and cherished by them or by their loved ones any time in their lives. This makes it imperative to have a perfect photograph which can describe that moment well. However, it is very difficult to time and capture a group photograph where everyone is looking their best. There are instances when multiple group photos are taken but in one of the photographs a particular person might have his/her eyes open and is smiling whereas someone else's eyes are closed because he/she was blinking. However, in another photograph that person has his/her eyes closed or is not smiling but rest of the people look good. Whatever the case may be, it becomes very difficult to have one perfect group photograph. Thus, if we can pick and blend the good facial features of each person from these multiple photos and merge into a single photo, we can get a better resultant group photograph with the best of their facial features in it. To do this, one could use softwares like Abode Photoshop or other such image editing tools. However, it requires the user to be well versed with that software and demands a lot of effort and user's valuable time to correct the photographs. To make this process easy and better, we have developed a tool that uses OpenCV at its core and follows a sequence of steps for generating the best photograph out of multiple group photographs clicked at a particular instance. By using this tool one can effortlessly get the best group photograph where everyone is smiling with their eyes open. © 2019 IEEE.

关键词： Face recognition

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An Intelligent Prediction Model of COVID-19 in India using Hybrid Epidemic Model

An Intelligent Prediction Model of COVID-19 in India using H...

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Smart Electronics and Communication (ICOSEC), International Conference on

作者： Manoj Kumar Jatin Bareja Manjot Singh Rupanshu Sharma Department of Computer Science & Engineering Delhi Technological University Delhi India Manufacturing process and automation engineering Netaji Subhas Institute of Technology Delhi India

ISBN: (数字)9781728154619

ISBN: (纸本)9781728154626

This article presents the current situation of COVID 19 spread in India and how it is impacted by various measures taken by the administration. Data source is taken (till 15th June 2020) from World Health organization (WHO) to study various trends and pattern. Hybrid epidemic susceptible-infected recovered model is used to make predictions at every stage of coronavirus. The basic reproduction number R 0 , is constructed using a logistic function. An improved or hybrid epidemic model is build based on various other factors to build a logistic infection rate to analyse the patterns and trend in the data. Secondly, ICU beds and ventilators available per 100,000 inhabitants is also taken in account for critical. Also, the timeline for changing the stage of coronavirus is used from various reliable resources. Moreover, in comparison with the traditional SIR models, accuracy in the predictions has significantly increased with the R 2 value of 96.8 percent for the future days in India.

关键词： Sociology Statistics Predictive models Diseases Mathematical model Viruses (medical) Market research

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Novel ubiquitous configuration algorithm for power enhancement of PV array operating under partial shading conditions

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computers and Electrical engineering 2025年 126卷

作者： Rahul Anand Bhavnesh Kumar Swaroop D Arjun Tyagi Data & AI Division Telstra Global Business Services LLP Bangalore India Department of Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi 110078 India Department of Studies in Computer Science University of Mysore Mysuru 570006 Karnataka India Department of Electrical Engineering Faculty of Technology University of Delhi Delhi 110007 India

The power-generating capacity of a photovoltaic (PV) array decreases dramatically under partial shade. Operating conditions reduce the power-generating capacity of the array and complicate MPP tracking. Reconfiguring the PV array can mitigate the partial shading effect. This paper presents a Novel Ubiquitous Configuration Algorithm (NUCA) for dynamically reconfiguring the PV array. Efficacy of the proposed algorithm has been tested on a PV array of 7 × 5 modules for mismatch in power loss, performance ratio, and fill factor. A relative comparison has also been made of the proposed configuration to the benchmark configurations, namely SP-TCT, TCT, BLHC, and BL-TCT. The PV array under NUCA has achieved a 10.8 % higher global maximum power point (GMPP) and 15.3 % lower power loss than the best-performing configuration. This completed research has been conducted in the MATLAB/Simulink environment.

关键词： Maximum power point (MPP) Partial shading (PS) Photovoltaic (PV) Array Reconfiguration technique

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Plants stress response detection by selecting minimal bands of hyperspectral images 9

Plants stress response detection by selecting minimal bands ...

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9th International Conference on Advances in Computing and Communication, ICACC 2019

作者： Mondal, Milton Edida, Manish Sharma, Naman Lall, Brejesh Raju, Dhandapani Indian Institute of Technology Department of Electrical Engineering Delhi India Netaji Subhas Institute of Technology Instrumentation and Control Engineering Delhi India Indian Agricultural Research Institute Plant Physiology Division India

ISBN: (纸本)9781728155234

It is an important task in the agricultural domain to determine the stress levels in plants. Drought conditions can have an adverse effect on crop yield. Hyperspectral Imaging (HSI) combined with classical Machine Learning algorithms are in current use to determine the stress levels. Every spectral band in an HSI does not contain useful information regarding the stress levels. For this reason, some vegetation indices are selected by agricultural researchers, based on reflectance ratios where a significant change in reflectance was observed because of stress. These indices do not always contain significant information because of changes in temperature, humidity or other atmospheric variations in different trials. There is no fixed set of vegetation indices which can be used to estimate stress levels accurately. In this paper, we demonstrated the working of Conditional Covariance Operator (CCM) which is used to select the most significant spectral bands from the collected Hyperspectral data itself. CCM is the most recent of the feature selection methods. This efficient feature selection method is used for the first time in this paper for plant stress analysis in rapid manner. It selects consistent discriminative spectral bands even when training examples per class are less than what other feature selection methods need. It can be seen that the Random Forest classifier model can classify the stress level into three categories (i) normal (ii) mild and (iii) severe stress with an accuracy of 99.7% when only 10 spectral bands are selected. © 2019 IEEE.

关键词： Spectroscopy

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Multi-objective cuckoo search algorithm-based 2-DOF FOPD controller for robotic manipulator

Multi-objective cuckoo search algorithm-based 2-DOF FOPD con...

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International Conference on Signal Processing and Communication, ICSC 2018

作者： Chhabra, Himanshu Mohan, Vijay Rani, Asha Singh, Vijander ECE Department MLV Textile and Engineering College BhilwaraRajasthan India ICE Division Netaji Subhas Institute of Technology New Delhi110078 India

ISBN: (纸本)9789811325526

Controller design for effective operation of robotic manipulator is a challenging task due to its highly complex and nonlinear dynamics. This issue may be resolved by incorporating fractional mathematics along with two-degrees-of-freedom PID controller. The fractional mathematics enhances the accuracy of control action, whereas two-degrees-of-freedom controller solves multiple issues like set point tracking and disturbance rejection simultaneously. Therefore, in this paper, a two-degree-of-freedom fractional-order proportional–derivative (2-DOF FOPD) controller is proposed for efficient trajectory control of two-link rigid manipulator. Conventional PID and its integer-order equivalent (2-DOF PD) controllers are also designed for comparative analysis. The parameters of designed controller are tuned using multi-objective cuckoo search algorithm (MOCSA) to minimize two conflicting objectives of robotic manipulator. Simulation study reveals the effectiveness and robustness of 2-DOF FOPD controller, in terms of trajectory tracking and disturbance rejection. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Controllers

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Fuzzy gain scheduling of PID controller for stiction compensation in pneumatic control valve

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Journal of Computational and Applied Research in Mechanical engineering 2019年第2期8卷 165-176页

作者： Rohillaa, Pardeep Kumarb, Vineet Al-Hakkakc, Feras Mechanical and automation department Northern India engineering college GGSIP University New Delhi110053 India Division of instrumentation and control engineering Netaji Subhas institute of technology New Delhi110078 India Mechanical department Northcap University Gurugram122017 India

Inherent nonlinearities like Dead-band, stiction, and hysteresis in control valves degenerate plant performance. Valve stiction standouts as a more widely recognized reason for poor execution in control loops. Measurement of valve stiction is essential to maintain scheduling. For industrial scenarios, loss of execution due to nonlinearity in control valves is an imperative issue that should be tackled. Thus, an intelligent technique is required for automated execution, observation, and enhancement. The paper shows the creative utilization of an intelligent controller for nonlinearity diagnosis in control valves. This is a Fuzzy Gain Scheduling (FGS) PID smart controller that tunes its gain parameters in real time to manage a control valve’s inherent nonlinearities. The viability of the FGS PID controller is experimentally verified in a laboratory scale plant. An execution comparison between FGS PID and classical PID controllers are undertaken for their setpoint following and disturbance rejection at different operating points. Experimental results show that the FGS PID controller outperforms the classical PID controller for all explored cases effectively managing stiction based oscillation in the controller output.

关键词： Three term control systems

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