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EAI/Springer Innovations in Communication and Computing 2021年 vii-viii页

作者： Srivastava, Smriti Khari, Manju Crespo, Ruben Gonzalez Chaudhary, Gopal Arora, Parul Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi Delhi India Department of Computer Science and Technology Universidad Internacional de La Rioja Logroño La Rioja Spain Department of Electronics and Communication Engineering Jaypee Institute of Information Technology Noida India School of Computer and Systems Sciences Jawaharlal Nehru University New Delhi Delhi India Department of Electronics and Communication Engineering Bharati Vidyapeeth’s College of Engineering New Delhi Delhi India

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EEG Based Participant Independent Emotion Classification using Gradient Boosting Machines

EEG Based Participant Independent Emotion Classification usi...

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IEEE International Advance Computing Conference, IACC

作者： Sagar Aggarwal Luv Aggarwal Manshubh Singh Rihal Swati Aggarwal Department Of Computer Engineering Netaji Subhas Institute of Technology Dwarka Delhi India

ISBN: (纸本)9781538666791;9781538666784

Analysis of EEG (Electroencephalography) signals provides an alternative ingenious approach towards Emotion recognition. Nowadays, Gradient Boosting Machines (GBMs) have emerged as state-of-the-art supervised classification techniques used for robust modeling of various standard machine learning problems. In this paper, two GBM's (XGBoost and LightGBM) were used for emotion classification on DEAP Dataset. Furthermore, a participant independent model was fabricated by excluding participant number from features. The proposed approach performed well with high accuracies and faster training speed.

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Cyberbullying: A Risk of CyberAddiction

Cyberbullying: A Risk of CyberAddiction

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International Conference on Advances in Computing, Communication Control and Networking (ICACCCN)

作者： Geetika Sarna MPS Bhatia Computer Engineering Department Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781538641200

With the advancement in the digital technologies, the internet has become major break-through and has been universally acceptable technology by the people of all the ages. They use the internet for the purpose of entertainment, shopping, gossiping, and playing games and also for harming the other users in the form of promoting fraud, cyberbullying and sometimes terrorism. However, overuse of internet which is often called cyberaddiction results in some negative implications such as health disorders, poor social relationships, poor academic performance, cyberbullying and so on. For this paper, we have surveyed people using questionnaire on the subject related to internet usage and cyberbullying. As a result, this paper shows the analysis of internet usage, cyberbullying and its relationship. Cyberbullying is the most important concept to be considered now a days for the researchers as it is directly linked to the lives of the youth of the world. Earlier research did not focus on the importance of social media, however, this paper discusses linkage of the overuse of social media with cyberbullying.

关键词： Internet Social networking (online) Games Terrorism Stress Pain Psychology

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Smart LED with Power Allocation Algorithm for Indoor Visible Light Communication System

Smart LED with Power Allocation Algorithm for Indoor Visible...

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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Shashikant Parul Garg Division of Electronics and Communication Engineering Netaji Subhas Institute of Technology New-Delhi

ISBN: (纸本)9781538646939

In this paper, we have proposed a smart lightemitting-diode (LED) which utilizes a power allocation algorithm for uniform illumination and also saves energy in an indoor visible light communication (VLC) system. The smart LED is aware of the user's location that need to be served in the room. Depending upon the user's location in the room, the LED tunes its half angle and allocates power to them according to an algorithm. The performance of the system has been analyzed in terms of power requirement and signal-to-noise ratio (SNR). The proposed algorithm shows that the power required for a targeted SNR is reduced in an indoor VLC system and the room is filled with uniform illumination.

关键词： Light emitting diodes Resource management Signal to noise ratio Receivers Modulation Interference Power transmission

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Identification of Suspicious Patterns in Social Network using Zipf's Law

Identification of Suspicious Patterns in Social Network usin...

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International Conference on Advances in Computing, Communication Control and Networking

作者： GeetikaSarna MPS Bhatia Computer Engineering Department Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781538641200

Scale-Free social network is universally popular among the users of almost all the ages. This scale-free network follows the Power Law that expresses the distribution of data in the form of body and tail. Tail can be expressed in two types: heavy and long. Heavy tail also called Pareto distribution means rare or infrequent occurrences of events with high values whereas long tail which is used for Zipf's distributionshows many occurrences of events with small values. In this paper, we employed the concept of long tail to identify the skeptical pattern in the social network as security is the main concern for everyone and become an open research area. Earlier papers on Zipf's Law worked on the concept of constructing the dictionaries or thesaurus on the basis of the frequency of keywords. However, this paper deals with the suspicious pattern on the basis of the frequency of keywords.

关键词： Social network Power law Zipf's law Cybercrime Cyberbullying Suspicious patterns

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CRPO: Cognitive routing protocol for opportunistic networks 2017

CRPO: Cognitive routing protocol for opportunistic networks

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2017 International Conference on High Performance Compilation, Computing and Communications, HP3C 2017

作者： Gupta, Apoorv Bansal, Aman Naryani, Deepika Sharma, Deepak Kr. Division of Information Technology Netaji Subhas Institute of Technology University of Delhi India Division of Computer Engineering Netaji Subhas Institute of Technology University of Delhi India

ISBN: (纸本)9781450348683

Opportunistic networks (OppNets) provide an infrastructure-less environment for delivering messages from source to destination. However, random nature of network topologies, unstable node connections and many other factors make routing of messages difficult. Transfer of a message from source to destination depends on the opportunity available to the carrier node for its encounter with the destination. Hence, an intelligent store-carryforward paradigm needs to be defined which judicially transfers the message from source to the intermediate node till it reaches its destination. In this paper, a new routing protocol called Cognitive Routing Protocol for Opportunistic networks (CRPO) is proposed which makes intelligent decisions based on its past experiences and sensory inputs. It defines a neural network at each node and learns about the simulating environment with time for the successful delivery of messages. From simulation results, the authors observed that the proposed routing protocol outperforms traditional routing protocols such as Epidemic and PRoPHET, and an advanced routing protocol HBPR in terms of message delivery ratio, overhead ratio and number of messages getting dropped. © 2017 ACM.

关键词： Routing protocols

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A Robust Fractional Order Fuzzy P ＋ Fuzzy I ＋ Fuzzy D Controller for Nonlinear and Uncertain System

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International Journal of Automation and computing 2017年第4期14卷 474-488页

作者： Vineet Kumar K. P. S. Rana Jitendra Kumar Puneet Mishra Sreejith S Nair Division of Instrumentation and Control Engineering Netaji Subhas Institute of Technology (NSIT) University of Delhi New Delhi 110078 India

In this paper, a robust fractional order fuzzy P ＋ fuzzy I ＋ fuzzy D （FOFP ＋ FOFI ＋ FOFD） controller is presented for a nonlinear and uncertain 2-1ink planar rigid manipulator. It is a nonlinear fuzzy controller with variable gains that makes it self- adjustable or adaptive in nature. The fractional order operators further make it more robust by providing additional degrees of freedom to the design engineer. The integer order counterpart, fuzzy P ＋ fuzzy I ＋ fuzzy D （FP ＋ FI ＋ FD） controller, for a comparative study, was realized by taking the integer value for the fractional order operators in FOFP ＋ FOFI ＋ FOFD controller. The performances of both the fuzzy controllers are evaluated for reference trajectory tracking and disturbance rejection with and without model uncertainty and measurement noise. Genetic algorithm was used to optimize the parameters of controller under study for minimum integral of absolute error. Simulation results demonstrated that FOFP ＋ FOFI ＋ FOFD controller show much better performance as compared to its counterpart FP ＋ FI ＋ FD controller in servo as well as the regulatory problem and in model uncertainty and noisy environment FOFP ＋ FOFI ＋ FOFD controller demonstrated more robust behavior as compared to the FP ＋ FI ＋ FD controller. For the developed controller bounded-input and bounded-output stability conditions are also developed using Small Gain Theorem.

关键词： Fuzzy P ＋ fuzzy I ＋ fuzzy D （FP ＋ FI ＋ FD） controller fractional order fuzzy P ＋ fuzzy I ＋ fuzzy D （FOFP ＋ FOFI＋ FOFD） controller fractional order operator robust control model uncertainty noise suppression.

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Augmented Gene Expression Programming: A Population Diversifying Paradigm

Augmented Gene Expression Programming: A Population Diversif...

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Congress on Evolutionary Computation

作者： Shreya Kataria Somya Sangal Twishi Tyagi Swati Aggarwal Department of Computer Engineering Netaji Subhas Institute of Technology Delhi Delhi India

Gene Expression Programming, a popular evolutionary paradigm, has acquired great attention from researchers in the domain of mathematical modeling. In view of its insufficiencies arising due to premature convergence, this paper presents an Augmented Gene Expression Programming (AGEP) algorithm. Improvements suggested over classical GEP mechanism are (1) Opposition Based Learning to initialize the population of individuals to speed up convergence, (2) A diversifying clonal selection algorithm to eliminate bias towards fitter individuals, and (3) A population upliftment step to counter stagnancy over generations. A set of experiments related to function finding was conducted using AGEP and the results show a prominent improvement by AGEP over its classical counterpart, GEP and an improved version from authoritative literature (Niche technology of Outbreeding Fusion-OFN-GEP). The results have been used to reason that AGEP gives more accurate solutions at a better convergence rate.

关键词： Sociology Statistics Convergence Biological cells Genomics Evolutionary computation Gene expression

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Truncated Wallace Based Single Precision Floating Point Multiplier

Truncated Wallace Based Single Precision Floating Point Mult...

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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Abhay Sharma Tarun Kumar Rawat Division of Electronics and Communications Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781538646939

Hardware implementation of digital signal processing algorithms such as filters largely requires multipliers. For addressing dynamic range of data to be processed floating point representation are preferred over fixed point. But floating point multiplier imposes challenges to designer due to their significant delay and area. Here, floating point multiplier in round to zero mode is investigated and truncated wallace tree is proposed for mantissa multiplication. Comparison reveals that number of full adders is reduced by 30% and number of half adders is reduced by 39.7% when truncation of binary bits is employed. With the help of Verilog description and Xilinx Vivado design suite existing and proposed structure were implemented targeting Artix-7 FPGA.

关键词： Adders Hardware design languages Delays Signal processing algorithms Digital signal processing Field programmable gate arrays Hardware

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Hysteresis with non-linear and memory effect on nonuniform transmission line

Hysteresis with non-linear and memory effect on nonuniform t...

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2017 IEEE MTT-S International Microwave and RF Conference, IMaRC 2017

作者： Kumar, L. Pandey, V. Shankar Parthasarathy, H. Shrimali, V. Department of Electronics and Communication Engineering National Institute of Technology Delhi India Department of Physics National Institute of Technology Delhi India Division of Electronics and Communication Engineering Netaji Subhas Institute of Technology Delhi India Department of Electronics and Communication Engineering G.B. Pant Govt. Engineering College Delhi India

The effect of hysteresis induced non-linear and memory effects on transmission line behavior using perturbation theory for non-linear differential equation is analyzed. Generation of higher harmonics is observed. The ... 详细信息

ISBN: (纸本)9781538613207

关键词： Hysteresis

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