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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 In the proposed oscillators resistors and inductors present in the conventional circuits have been replaced by memristors.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.

关键词： Fluoride Health risk assessment Machine learning models Nitrate Potable water

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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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An Efficient Biometric based three-factor authentication scheme for Wireless Sensor Network

An Efficient Biometric based three-factor authentication sch...

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2018 IEEE International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2018

作者： Singh, Deepti Kumar, Bijendra Singh, Samayveer Chand, Satish Computer Engineering Department Netaji Subhas Institute of Technology India School of Computer and System Sciences Jawaharlal Nehru University India

ISBN: (纸本)9781538641194

In wireless sensor network, for some applications users are attracted in real time data. This can be done, if users directly interact with sensor node. For security reasons, user needs to get authorized to base station and sensor node both. In this paper, we design an efficient biometric based authentication scheme. We have done informal and formal security analysis of our scheme and have proved that our scheme is secure against active and passive adversaries. The performance with respect to storage, communicational cost and running time of our scheme is also compared with other related schemes. © 2018 IEEE.

关键词： Formal verification

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Controllability of network: Identification of controller genes in a gene–gene interaction network

Controllability of network: Identification of controller gen...

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International Conference on Emerging Technologies in Data Mining and Information Security, IEMIS 2018

作者： Payra, Anjan Kumar Ghosh, Anupam Mitra, Pabitra Department of Computer Science & Engineering Dr. Sudhir Chandra Sur Degree Engineering College Dumdum Kolkata700074 India Department of Computer Science & Engineering Netaji Subhash Engineering College Garia Kolkata700152 India Department of Computer Science & Engineering Indian Institute of Technology Kharagpur721302 India

ISBN: (纸本)9789811315008

Lung cancer is the one of the most deadly diseases because of its constant change in biological behavior with respect to different infected patients. So, identification of genes responsible for lung cancer is a major challenging task. This detection of genes can be done using gene–gene interaction network where each node represents a specific gene, whereas interconnection between them is considered as edges. Here, in this work, we have proposed a methodology which basically detects controller genes from gene–gene interaction network. Initially, our proposed work is started from gene expression data of lung cancer which consists of 7129 genes samples with their corresponding numeric values at different time slots both for normal and disease state. Out of 7129 genes samples, 3556 variant set of genes (i.e., the over or under expressive gene set) have been filtered out by the application of two-tailed t-test. Finally out of 3556 gene samples, 122 genes are identified as controller genes through the application of K-means clustering, finding the best cluster of the set of genes by counting maximum number of occurrences of functional groups or GO terms for each genes in clusters, formation of gene–gene interaction network (using String DB), and finally pruning of nonessential genes through node and edge weight. 122 predicted controller genes are also validated with the existing data of NCBI, and an accuracy of 91.8% has been obtained which will be discussed in the result and analysis section. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Controllers

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Dynamic Relay Assisted Clustering in WSN 6

Dynamic Relay Assisted Clustering in WSN

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6th Global Wireless Summit, GWS 2018

作者： Gupta, Nishi Jain, Satbir Department of Computer Engineering Netaji Subhas Institute of Tech. New Delhi India

ISBN: (纸本)9781538642887

Data collected in Wireless Sensor Network is transmitted to the sink by the sensor nodes. Sink processes the data for further action. These networks are energy constrained and hence communication to sink should be energy efficient. Clustering has been proved to be an effective strategy in WSNs. Member nodes of cluster collect data and send it to their respective cluster heads. It is now the duty of cluster heads to transmit data to the sink. Routing is done during multi-hop transmission to select an optimal route to the sink. The proposed algorithm maintains the clustering in the mobile network and saves the overhead of re-clustering. It is expected to provide better connectivity and performance of the system. Later the performance of proposed clustering is analyzed when different routing protocols are used for the path selection. © 2018 IEEE.

关键词： Energy efficiency

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Designing a Project Leader Recommender System using Twitter Feed Analysis

Designing a Project Leader Recommender System using Twitter ...

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International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)

作者： Poonam Rani Jyoti Shokeen Department of Computer Engineering Netaji Subhas University of Technology Delhi India Department of Computer Science and Engineering UIET Maharshi Dayanand University Rohtak India

ISBN: (纸本)9781728102122

People are increasingly using social media to share both their personal and professional interests. Though most social networks cater to no specific age group, in recent years, platforms such as Twitter have taken center stage for students to discuss and discover similar passions and areas of interest. In this paper, we first explore students' Twitter activity to determine the core interests of students and then propose a recommender system that assigns group leaders to projects. We use a clustering algorithm to group the students with similar interests in the projects.

关键词： Recommender systems Twitter Clustering algorithms Collaboration Tools

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Approximation by a Complex Post-Widder Type Operator

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Analysis in Theory and Applications 2018年第4期34卷 297-305页

作者： Sorin G.Gal Vijay Gupta Department of Mathematics and Computer Science University of Oradea Department of Mathematics Netaji Subhas Institute of Technology

In the present article, we deal with the so-called overconvergence phenomenon in C of a slightly modified Post-Widder operator of real variable, that is with the extension of its approximation properties from the real axis in the complex *** this sense, error estimates in approximation and a quantitative Voronovskaya-type asymptotic formula are established.

关键词： Real and complex Post-Widder type operator overconvergence phenomenon approximation estimate Voronovskaya-type result exact error estimation

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High gain transimpedance amplifier using self cascode structure 2

High gain transimpedance amplifier using self cascode struct...

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2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018

作者： Singh, Preeti Gupta, Maneesha Netaji Subhas Institute of Technology Department of Electronics and Communication Engineering Delhi India

ISBN: (纸本)9781538666258

High gain transimpedance amplifier (TIA) with low power dissipation is presented in which Self cascode structure (also known as split length transistor structure) is used to achieve high output impedance which leads to gain enhancement. Simulations are done in TSMC 0.18\mu\mathrmm CMOS technology with 50fF photodiode capacitance. In the proposed TIA, the transimpedance gain is 56.8dB\Omega which is increased by 11.2% and the bandwidth is 2.7 GHz with 0.42mW power dissipation. © 2018 IEEE.

关键词： Operational amplifiers

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