S. G. Ajay ¹, M. Srikanth ¹, M. Anand Kumar ¹, K. P. Soman ¹

Affiliations
1 Centre for Computational Engineering and Networking (CEN), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore - 641112, Tamil Nadu, IN

Abstract

Objective: Word embedding models were most predominantly used in many of the NLP tasks such as document classification, author identification, story understanding etc. In this paper we make a comparison of two Word embedding models for semantic similarity in Tamil language. Each of those two models has its own way of predicting relationship between words in a corpus. Method/Analysis: The term Word embedding in Natural Language Processing is a representation of words in terms of vectors. Word embedding is used as an unsupervised approach instead of traditional way of feature extraction. Word embedding models uses neural networks to generate numerical representation for the given words. In order to find the best model that captures semantic relationship between words, using a morphologically rich language like Tamil would be great. Tamil language is one of the oldest Dravidian languages and it is known for its morphological richness. In Tamil language it is possible to construct 10,000 words from a single ischolar_main word. Findings: Here we make comparison of Content based Word embedding and Context based Word embedding models respectively. We tried different feature vector sizes for the same word to comment on the accuracy of the models for semantic similarity. Novelty/Improvement: Analysing Word embedding models for morphologically rich language like Tamil helps us to classify the words better based on its semantics.

Keywords

CBOW, Content based Word Embedding, Context based Word Embedding, Morphology, Semantic and Syntactic, Skip Gram.

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G. Manusha ¹, M. Srikanth ¹

Affiliations
1 KL University, Green Fields Vaddeswaram, Guntur (Dist), AP, IN

Abstract

Objective: This paper proposes new integration to reduce Total Harmonic Distortion (THD) in grid connected system. Methods/statistical Analysis: We implementANFIS based controller technique is used in grid integration to reduce THD content. Simulation results shows that ANFIS controller has less THD and good efficiency when compared to that of FUZZY logic controller. Findings: Now a day’s world energy consumption is increasing due to commercialization of world. It reduces non renewable energy resources, because lot of energy generation requires more conventional sources. To meet these increasing loads renewable energy generation is implementing, and many are going to get maximum power extraction from available source. In distribution energy resources solar power generation plays an important role. Solar power generation depends on irradiation level availability. Power generation from (Photovoltaic) system is highly fluctuating because irradiation continuously changes based on climatic conditions. PV system grid integration involves a converter; it injects harmonics source side and grid side. Therefore, ANFIS control can be used to improve the THD in grid connected PV systems. A comparison of PI, hysteresis control and fuzzy logic control, ANFIS control gives the feasibility of the method. Thus the proposed scheme ensures that the THD in the injected grid current remains within the specified limits. MATLAB/Simulink model is developed for the proposed work. Simulation results are given to show the overall system performance. Applications: Efficiency and overall performance is good compared to FUZZY controller.

Keywords

ANFIS Control, Fuzzy Control, Grid Integration, MPPT, PV System, THD.

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Chirag Patel ¹, M. Srikanth ¹, Kalyani Chetan Kumar ¹, S. Sivanantham ¹

Affiliations
1 School of Electronics Engineering, VIT University, Vellore - 632014, Tamil Nadu, IN

Abstract

The OpenCL is a standard parallel language which is based on 'C' language. It offers users to take full advantage and also provide the flexibility of high level language. In this paper, we explore the use of OpenCL language to implement the complex design on FPGAs by describing the design with high level abstraction language. To demonstrate, we consider the most important benchmarks in financial markets known as Monte-Carlo Black-Scholes implementation to estimate the stock price option

Keywords

Embedded Unit, FPGA Implementation, Kernel, Monte-Carlo Simulation, OpenCL Standard.

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K. Jagannadha Naidu ¹, M. Srikanth ¹

Affiliations
1 VLSI Division, School of Electronics Engineering, VIT University, Vellore - 632014, Tamil Nadu, IN

Abstract

Objective:Verification of the Slave block in Ethernet Management Interface using UVM.  Methodology:Management data input output (MDIO) and Management data clock (MDC) is a two-wire interface used by Ethernet Station Management Entity to configure as well as read status from various PHY devices connected to it. Universal verification methodology is used to verify integrated designs. Verification of the Slave block in Ethernet Management Interface is done through UVM. Findings: Verification environment for the Slave Block in Ethernet Management Interface is built using UVM. 94.44% functional coverage and 97.96 code coverage is achieved. Applications: Ethernet protocol is used in the computer communication.

Keywords

Ethernet Management Interface, System Verilog, UVM, Verification

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