National Institute of Technology, Silchar

About: National Institute of Technology, Silchar is a education organization based out in Silchar, Assam, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 1934 authors who have published 4219 publications receiving 41149 citations. The organization is also known as: NIT Silchar.

A graph based keyword extraction model using collective node weight

Abstract: In the recent times, a huge amount of text is being generated for social purposes on twitter social networking site. Summarizing and analysing of twitter content is an important task as it benefits many applications such as information retrieval, automatic indexing, automatic classification, automatic clustering, automatic filtering etc. One of the most important tasks in analyzing tweets is automatic keyword extraction. There are some graph based approaches for keyword extraction which determine keywords only based on centrality measure. However, the importance of a keyword in twitter depends on various parameters such as frequency, centrality, position and strength of neighbors of the keyword. Therefore, this paper proposes a novel unsupervised graph based keyword extraction method called Keyword Extraction using Collective Node Weight (KECNW) which determines the importance of a keyword by collectively taking various influencing parameters. The KECNW is based on Node Edge rank centrality with node weight depending on various parameters. The model is validated with five datasets: Uri Attack, American Election, Harry Potter, IPL and Donald Trump. The result of KECMW is compared with three existing models. It is observed from the experimental results that the proposed method is far better than the others. The performances are shown in terms of precision, recall and F-measure.

Investigation on Soil–Geopolymer with Slag, Fly Ash and Their Blending

Abstract: Ground granulated blast furnace slag (GGBS)-based geopolymer is an excellent binder that attains high strength by curing at room temperature. Fly ash-based geopolymer binder, on the other hand, attains high strength when heated in particular temperature range. Although literatures on GGBS- and fly ash-based geopolymer are plenty, reported literatures on soil–geopolymer system are limited. An attempt has therefore been made in the present paper to investigate soil–geopolymer incorporating slag, fly ash and blending of slag and fly ash as source materials. It was observed that unconfined compressive strength of soil–geopolymer system increases with the source material content. Molar concentration of alkali activator, alkali-to-source material ratio and percent content of source material altogether affect the unconfined compressive strength of stabilized soil that is not straightforward. Na/Al and Si/Al ratios of the geopolymer mix ultimately govern the strength of stabilized soil. It was also observed that slag content is the most dominating factor affecting unconfined compressive strength rather than Na/Al ratio in case blending of GGBS and fly ash.

Parametric Optimization for Selective Surface Modification in EDM Using Taguchi Analysis

Abstract: This paper introduces selective modification of surface by electric discharge machining process and its parametric optimization A hard layer of tungsten and copper mixture is created at selected area of aluminum surface The process is done using W–Cu powder metallurgical green compact tool and masking technique in die-sinking electric discharge machining (EDM) The modified surface is evaluated by the performance measures such as tool wear rate, material transfer rate, surface roughness, and edge deviation from the pre-defined boundary line of deposited layer by analysis of variance using Taguchi design of experiment Minimum surface roughness of 45 µm and minimum edge deviation of 3729 µm is achieved The hardness of the surface layer is increased more than three times of base metal Overall effects of parameters are also analyzed considering multiple performance criteria using overall evaluation criteria The modified surface is characterized using scanning electron microscopy and energy dispersive

Solution to automatic generation control problem using firefly algorithm optimized IλDµ controller

Abstract: Present work focused on automatic generation control (AGC) of a three unequal area thermal systems considering reheat turbines and appropriate generation rate constraints (GRC). A fractional order (FO) controller named as IλDµ controller based on crone approximation is proposed for the first time as an appropriate technique to solve the multi-area AGC problem in power systems. A recently developed metaheuristic algorithm known as firefly algorithm (FA) is used for the simultaneous optimization of the gains and other parameters such as order of integrator (λ) and differentiator (μ) of IλDµ controller and governor speed regulation parameters (R). The dynamic responses corresponding to optimized IλDµ controller gains, λ, μ, and R are compared with that of classical integer order (IO) controllers such as I, PI and PID controllers. Simulation results show that the proposed IλDµ controller provides more improved dynamic responses and outperforms the IO based classical controllers. Further, sensitivity analysis confirms the robustness of the so optimized IλDµ controller to wide changes in system loading conditions and size and position of SLP. Proposed controller is also found to have performed well as compared to IO based controllers when SLP takes place simultaneously in any two areas or all the areas. Robustness of the proposed IλDµ controller is also tested against system parameter variations.