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Performance investigation of MLR optical WDM network based on ITU-T conforming fibers in the presence of SRS, XPM and FWM

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International Journal of Information technology (Singapore) 2019年第2期11卷 213-227页

作者： Bajpai, Rochak Sengar, Sujata Iyer, Sridhar Singh, Shree Prakash Division of ECE Netaji Subhas Institute of Technology Sector-3 Dwarka 110078 New Delhi India Department of ECE Jain College of Engineering T S. Nagar Hunchanatti Cross Belagavi 590014 KA India

This article investigates the performance degradation of a mixed line rate (MLR) optical wavelength division multiplexing network in the presence of the combined FWM, XPM and SRS effects. For performance evaluation a novel mathematical model is developed which evaluates the results in terms of quality-factor. Further, the simulations are performed (i) based on the optical frequency grid defined by the ITU-T Recommendation G.692, and (ii) considering the ITU-T compliant optical fibers viz., G.652, G. 652D, G. 653, G. 654, G.655, and LEAF. The obtained results show that among the various considered fibers and modulation format configuration cases, irrespective of spacing between the channels (i) SMF (G.652) and DSF (G.653) fibers provide the best and the worst performances, respectively, and (ii) a combination of the central channel transmitting at 40 Gbps using the duo-binary modulation format with adjacent channels transmitting at 10 Gbps using OOK modulation format, provides the best performance. However, with increase in spacing between the channels, the performance is enhanced owing to mitigation of the deleterious non-linear effects. Overall, the results clearly show that choice of the data rate of both, the central channel and its adjacent channel has a major effect on the MLR network performance. © 2018, Bharati Vidyapeeth's institute of computer Applications and Management.

关键词： Cross phase modulation Four wave mixing Mixed line rate Physical layer impairments Stimulated Raman scattering Wavelength division multiplexing

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Multi-objective optimisation of electrical discharge machining for Inconel 825 using Taguchi-fuzzy approach

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International Journal of Information technology (Singapore) 2019年第1期11卷 97-105页

作者： Payal, Himanshu Maheshwari, Sachin Bharti, Pushpendra S. Sharma, Satish Kumar Division of Manufacturing Processes and Automation Engineering Netaji Subhas Institute of Technology New Delhi 110078 India U.S.I.C.T Guru Gobind Singh Indraprastha University New Delhi 110078 India Mechanical Engineering Department Thapar Institute of Engineering and Technology Patiala 147004 Punjab India

This paper employs Taguchi-fuzzy approach for parametric optimisation of electric discharge machining with multiple performance measures. In this work, seven input parameters (one of two levels and six of three levels) and two performance measures have been considered and the experiments are designed using Taguchi’s L₃₆ orthogonal array. A fuzzy model is formed using mamdani inference system and optimal combination of process parameters has been obtained on basis of multi-performance fuzzy index (MPFI) value calculated using different shapes of membership functions (MF) viz. triangular, trapezoidal and gaussian. Gaussian MF is found to provide better results as compared to triangular and trapezoidal MF. ANOVA analysis has also been carried out on MPFI to find out percentage contribution. It is shown with the help of confirmatory experiments that MRR and SR are improved by 103.25 and 32.11% respectively by employing the proposed approach. © 2018, Bharati Vidyapeeth's institute of computer Applications and Management.

关键词： ANOVA EDM Metal removal rate Multi-objective optimization Surface roughness Taguchi-fuzzy

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Simulation of Steering a Self-Driving Car Using 1) PID Controller 2) Neural Network

Simulation of Steering a Self-Driving Car Using 1) PID Contr...

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International Conference on Smart Systems and Inventive technology (ICSSIT)

作者： Deeheem Ansari Gurtej Kochar Division of Computer Engineering (COE) Netaji Subhas Institute of Technology (NSIT) New Delhi India

Over the last few years, self-driving vehicles have expanded dramatically. They look promising in decreasing traffic accidents and congestion on roads. In order for this approach to work, simulations tend to be a cheaper, more efficient, and a safer way than live testing. In this paper, we present a simulator that tests the self-driving car's CNN model in a virtual environment. To avoid the hassle of collecting huge amount of training and testing data for preliminary testing, we also propose a method to collect data (images, steering value and throttle value) using PID controllers in the virtual environment itself.

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Analysis of properties on chemical treatment of kenaf fibers

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Materials Today: Proceedings 2021年 40卷 S35-S38页

作者： Ankit Manral Pramendra Kumar Bajpai Department of Manufacturing Process and Automation Engineering Netaji Subhas Institute of Technology University of Delhi Dwarka Sector-3 New Delhi 110078 India Department of Manufacturing Process and Automation Engineering Netaji Subhas University of Technology Dwarka Sector-3 New Delhi 110078 India

In the present study, kenaf fibers were treated with sodium acetate at varying chemical concentrations (10%, 15% and 20%) for different treatment time. The investigation was carried out to study the effect of chemical treatment on chemical and thermal properties of kenaf fiber and its composites. Fourier transform infrared spectroscopy was performed to detect the removal of non-cellulosic content from kenaf fiber after chemical treatment. Glass transition temperature and specific heat capacity of treated and untreated fibers reinforced composites can be obtained by differential scanning calorimeter. The crystallinity and average crystallinity size of the developed composites were evaluated by XRD. The exhibited results show that the effect on physical and chemical properties were due to the removal of non-cellulosic content from fiber after chemical treatment.

关键词： Kenaf fiber Chemical treatment Tensile test Crystallinity Glass transition temperature

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Driving Fitness Detection : A Holistic Approach For Prevention of Drowsy and Drunk Driving using computer Vision Techniques

Driving Fitness Detection : A Holistic Approach For Preventi...

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2018 South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA_CECNSM 2018

作者： Chatterjee, Ipshita Isha Sharma, Apoorva Division of Computer Engineering Netaji Subhas Institute of Technology University of Delhi India

ISBN: (纸本)9786188331419

This paper presents a holistic, non intrusive approach for driving fitness detection by checking drowsiness of the driver and loss of vehicle control due to potential influence of alcohol, using computer vision techniques of facial landmark detection and motion detection. A smart phone camera is used to capture a real-time video feed of the driver in the vehicle. The proposed system continuously analyzes this feed to detect drowsiness by checking for persistent eye blinks using a single scalar quantity, Eye Aspect Ratio (EAR) which characterizes eye opening. The system simultaneously checks for the orientation of the head and body, with respect to the steering wheel, to flag potential drowsiness or drunkenness or both, leading to loss of control of the vehicle. This is done by detecting motion using the Differential Images technique, which operate in real-time. Both of these analyses cumulatively yield a severity score which indicates whether the person is fit to drive or not. In case of positive results, an alarm is sounded and for suitable severity, the geographical location of the smart phone is sent to the respective kin and concerned authorities. © 2018 Tei of Western Macedonia.

关键词： Aspect ratio

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Comparative study of mechanical properties of dry and water aged jute/flax/epoxy hybrid composite

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Materials Today: Proceedings 2020年 25卷 857-861页

作者： Vijay Chaudhary Rohit Sahu Ankit Manral Furkan Ahmad Mechanical Engineering Department Amity School of Engineering Amity University Noida India G. L. Bajaj Institute of Technology & Management Greater Noida India MPAE Division Netaji Subhas University of Technology (Formerly NSIT University of Delhi) Sec-3 Dwarka New Delhi India

Present study focuses on the manufacturing and mechanical characterization of hybrid jute/flax/epoxy composite in dry and one year water aged condition. Mechanical characterization includes the tensile, flexural, impact and hardness testing of the developed jute/flax/epoxy hybrid composite. Experimental findings clearly showed the percentage reduction in the corresponding property of the specimen after one year of water immersion as compared to dry specimen. Hybrid jute/flax/epoxy composite showed 37.74% reduction in tensile strength, 33.6% reduction in flexural strength and 2.08% reduction in hardness.

关键词： Mechanical characterization Water aged Natural fiber Epoxy Hybrid composites

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Memristor Based Oscillator

Memristor Based Oscillator

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International Conference on Computing, Power and Communication Technologies (GUCON)

作者： Ankit Anand Bhawna Aggarwal Kunwar Singh Department of Electronics and Communication Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781728100173

In this paper memristor based RC phase shift oscillator and Colpitts oscillator have been proposed. In the proposed oscillators resistors and inductors present in the conventional circuits have been replaced by memristors. Memristor characteristics like nano scale dimension, low power consumption and electronic programmability help in achieving high performance oscillators. LTspice has been used to simulate the conventional and proposed circuits. These simulaton results show that RC phase shift and Colpitts oscillators can be tuned in the frequency range of 3 to5 kHz and 52 to 58 kHz respectively, if controlling voltage is changed from 0.3 to 1.8 V.

关键词： Oscillators Memristors Frequency control Inductors Voltage control Titanium dioxide

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Machine learning-based health risk assessment of fluoride and nitrate in indian drinking water: A systematic review

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Journal of Food Composition and Analysis 2025年 145卷

作者： Shahjad Ali Rajesh Kumar Deolia Azhar Shadab Raisul Islam Mohammad Usama Salman Ahmed Athar Hussain Kamlesh Deshmukh Ali Akbar Mohammadi Department of Environmental Science Anand School of Engineering and Technology Sharda University Agra Keetham Agra 282007 India Department of Applied Science (Mathematics) G.L. Bajaj Group of Institutions Mathura India Department of Electronics and Communication Engineering G. L. Bajaj Institute of Technology and Management Greater Noida Uttar Pradesh 201306 India Department of Civil Engineering GLA University Mathura India Department of Environmental Science Integral University Lucknow India Interdisciplinary Department of Remote Sensing and GIS Applications Aligarh Muslim University Aligarh India Department of Civil Engineering Netaji Subhas University of Technology New Delhi India Department of Computer Science and Engineering Anand Engineering College Agra India Workplace health research center Neyshabur University of Medical Sciences Neyshabur Iran Department of Environmental Health Engineering Neyshabur University of Medical Sciences Neyshabur Iran

This systematic review examines the health risk assessment of fluoride and nitrate concentrations in drinking water sources across India. 1250 studies on fluoride and nitrate in Indian waters were examined between 2015 and 2024; following thorough evaluation and exclusion, 55 high-quality, pertinent papers were chosen. The results were shown using a geographic information system (GIS) and corresponding zoning maps. Alarmingly, more than 40 % and 50 % of samples investigated exceeded the allowable level set for fluoride and nitrate concentration in potable water 1.5 mg/L and 50 mg/L, posing potential Health risks. The results indicated that the HQ of fluoride and nitrate across all targeted groups (children, teenagers, and adults) exceeded 1. The HQ values were 3.206, 2.466, 1.9764 for fluoride and 6.487, 4.99, 3.998 for nitrate. Significantly, the order of vulnerability was children > teenagers > adults, with children being the most vulnerable group to fluoride and nitrate consumptions in the investigated locations. This research study shows that a detailed investigation of the hydro geochemistry of fluoride and nitrate can predict groundwater quality zones of the state using machine-learning techniques, viz., artificial neural network (ANN) and extreme gradient boosting (XGBoost) regression. The ANN and XGBoost models, with their high R 2 values of 0.9991 and 0.9992 in training, and 0.9868 and 0.8943 in testing, inspire confidence in their predictive power. The average RMSE values during training were 0.0441 and 0.0067 for fluoride. Similarly, the R 2 values of 0.9998 and 0.9985 in training, and 0.9956 and 0.9448 in testing, along with the average RMSE values of 0.0441 and 0.0067 for nitrate, further reinforce the models' predictive capabilities. Therefore, fluoride and nitrate amounts must be measured in diverse water sources to determine the optimal removal technique and limit human health risks.

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Simultaneous ethanol and hydrogen production by fermentation from Bon bogori (Ziziphus rugosa)

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Renewable Energy Focus 2018年 26卷 71-80页

作者： Sasmal, Soumya Goud, Vaibhav V. Mohanty, Kaustubha Division of Biological Sciences and Engineering Netaji Subhas Institute of Technology New Delhi110078 India Department of Chemical Engineering Indian Institute of Technology Guwahati Guwahati78103 India

Lignocellulosic ethanol is one of the utmost promising and happening technological options available to moderate greenhouse gas emissions from transportation sector. Present study used ultrasound-assisted lime pretreated lignocellulosic biomass of Bon bogori for saccharification to obtain fermentable sugar. The saccharification process yielded 6.89% sugar. The fermentation study was conducted using wastewater sludge as a source of microorganisms to produce bio-ethanol and bio-hydrogen. The study includes optimization of fermentation process using Taguchi methodology (multi response). Four important parameters such as type of reactors (stirred tank and fluidized bed reactor), temperature, pH of operation and organic loading ratio were considered for optimization process. The optimum production of both ethanol and bio-hydrogen were found to be 0.21 mol, and 30.8 ± 0.5-mmol respectively. © 2018 Elsevier Ltd

关键词： Saccharification

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Hyper Smoothing Function based Edge Detection for Prediction of Fat Content in Marble Meat

Hyper Smoothing Function based Edge Detection for Prediction...

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International Conference on Computing, Power and Communication Technologies (GUCON)

作者： Navdeep Navdeep Vijander Singh Asha Rani Sonal Goyal Department of Instrumentation and Control Engineering Netaji Subhas Institute of Technology Delhi University Delhi India

Intramuscular fat is one of the crucial quality indices in meat grading. The traditional intramuscular fat detection methods like chemical, visual, nuclear magnetic resonance etc. are tedious, costly and time-consuming whereas edge detection techniques are fast and non-destructive testing methods. In this paper hyper smoothing function-based edge detection technique is proposed for intramuscular fat detection. The proposed method utilizes an improved counting scheme and the relationship between surrounding pixels and centric pixel. The scheme calculates fat percentage, fat fleck size distribution and homogeneity. The quantitative analysis of results shows that the fat percentage measured by HLBP is more accurate as compared to black and white method and energy and skewness based fat detection method.

关键词： Fats Image edge detection Chemicals Smoothing methods Muscles Visualization

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