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Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study (vol 2, pg 144, 2021)

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LANCET GLOBAL HEALTH 2021年第4期9卷 E408-E408页

作者： Steinmetz, Jaimie D. Vision and Eye Research Institute Anglia Ruskin University Cambridge United Kingdom Biomedical Informatics Seoul National University Hospital Seoul South Korea Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Institute of Health Services Research Yonsei University Seoul South Korea Department of Ophthalmology University of Washington Seattle WA United States Department of Mathematics Imperial College London London United Kingdom WHO Collaborating Centre for Public Health Education and Training Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom School of Population and Global Health University of Melbourne Carlton VIC Australia School of Optometry and Vision Science UNSW Sydney NSW Australia Brien Holden Vision Institute Sydney Australia Department of Ophthalmology University of Adelaide Adelaide SA Australia Department of Parasitology and Mycology Jahrom University of Medical Sciences Jahrom Iran Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Ophthalmic Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Ophthalmology Shahid Beheshti University of Medical Sciences Tehran Iran Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic Epidemiology Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Health Services Management Department Qazvin University of Medical Sciences Qazvin Iran Department of Systems Populations and Leadership University of Michigan Ann Arbor MI United States Department of Medicine Sofia Ismail Memorial Medical Centre Bogura Bangladesh The Fred Hollows Foundation Sydney NSW Australia Berhan Public Health & Eye Care Consultancy Addis A

Hospital El Salvador: a novel paradigm of intensive care in response to COVID-19 in central America. Lancet Glob Health 2021;9: e241?42?In this Comment, the conflict of interest statement should have included the following: ?By virtue of their roles within a public hospital or the Ministry of Health, MB, LC, WH, and XS are government employees. The findings and conclusions in the Comment are only those of the authors.? This correction has been made as of Feb 26, 2021.

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Cross-Lingual Preposition Disambiguation for Machine Translation

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Procedia Computer Science 2015年 54卷 291-300页

作者： M. Anand Kumar S. Rajendran K.P. Soman Center for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore 641 112 India

This paper presents a supervised prepositional ambiguity resolution method for machine translation models in which the target language is Tamil and source language is English. We restrict our transfer ambiguity resolution problem with few prepositions only. This resolution method is based on supervised models which exploit collocation occurrences and linguistic information as features. This attempt will rectify the challenges in handling prepositions in English to Tamil automatic translation system. The preliminary results obtained from the evaluation shows that the proposed method is suitable for preposition resolution problem.

关键词： Feature extraction Machine learning Machine translation Natural language processing Preposition disambiguation.

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Study of multirate systems and filter banks using GNU Radio

Study of multirate systems and filter banks using GNU Radio

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International Conference on Communication and Signal Processing, ICCP 2015

作者： Kiran, S. Lekshmi Mol, Parvathy G. Hisham, P.M. Gandhiraj, R. Soman, K.P. Center of Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Amritanagar Coimbatore Tamilnadu641112 India Department of Electronics and Communication Engineering Amrita Vishwa Vidyapeetham Coimbatore Tamiinadu641112 India

ISBN: (纸本)9781479980819

Multirate digital signal processing finds application in various fields like speech processing, image processing and compression. A proper study of this subject is fundamental to incorporating an efficient design of these systems. A good theoretical explanation in this area is readily available at large numbers. But it is quite unfortunate that the present education system does not emphasize a proper visualization of the theoretical concepts. The significance of GNU Radio, which provides various signal processing blocks, is worth noticing since it can be used by a learner to design a flow graph and analyze its response. In this paper, we have implemented the perfect reconstruction filter using the concept of Quadrature mirror filter (QMF) bank in GNU Radio. Some basic concepts like aliasing and filter design have also been analyzed using GNU Radio. We appreciate the role played by GNU Radio since it is an easy-to-use software and also provides an excellant platform in analyzing a system. © 2015 IEEE.

关键词： Digital signal processing

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A Contextual Investigation for Variation in Weather Parameter for Coimbatore District

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Procedia Computer Science 2015年 58卷 507-515页

作者： M. Kokila P. Geetha K.P. Soman Remote Sensing and Wireless Sensor Networks Center for Excellence in Computational Engineering and NetworkingAmrita Vishwa VidyapeethamCoimbatore. Hod Center for Excellence in Computational Netwroking and EngineeringAmrita Vishwa VidyapeethamCoimbatore.

Weather parameters are critical parameter which is to be considered for understanding atmospheric variation. The aim of this paper is to see how the parameter values fluctuates for three decades. Three decade information is isolated into two and K-means machine learning calculation is utilized for bunching the divided data. Then how the information focuses are conveyed around the centroid of every sectioned data group is confirmed. At long last the group for initial one and half decade is compared with the second one and half decade to know how the information focuses are strayed in dynamic year. This gathering is validated with silhouette value.

关键词： Machine learning K-means Silhouette value

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Recursive Variational Mode Decomposition Algorithm for Real Time Power Signal Decomposition

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Procedia Technology 2015年 21卷 540-546页

作者： Soman K.P. Prabaharan Poornachandran Athira S. Harikumar K. Center for excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Amrita Centre for Cyber Security systems and Networks Amrita Vishwa Vidyapeetham

Conventional methods of signal decomposition are observed to fail in power system applications and computationally intensive algorithms like EMD, VMD, EWT are found to give better performance. The heavy computations associated with them restricts their use in real time applications and stream processing. This paper presents a recursive block processing technique for real time signal decomposition. The use of recursive FFT and the clever initializations of the center frequencies in the existing VMD algorithm helps in reducing the computational complexity and hence speeds up the process. This low complexity algorithm was tested on synthetically generated power signals and the results were observed to be consistent with the existing VMD algorithm.

关键词： Recursive FFT VMD computational complexity power signal decomposition.

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An Optimization Algorithm for Voltage Flicker Analysis

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Procedia Technology 2015年 21卷 589-595页

作者： Athira S. Harikumar K. Soman K.P. Prabaharan Poornachandran Center for excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Amrita Centre for Cyber Security systems and Networks Amrita Vishwa Vidyapeetham

Maintenance of power quality standards is a critical issue in the electrical distribution networks today. Proper quality can be maintained only by continuously monitoring and analyzing the signals of interest so as to identify the sources of distortion. This paper presents an algorithm for analysis of voltage flickers in power signals, a common phenomenon in most of the networks involving heavy loads. The low frequency component responsible for modulating the power signal is extracted using an optimization algorithm. Further the algorithm separately identifies the signals affecting the fundamental component and the harmonics present in the power signal.

关键词： Flicker low freqency envelope optimization.

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Named Entity Recognition for Malayalam language: A CRF based approach

Named Entity Recognition for Malayalam language: A CRF based...

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International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM)

作者： Gowri Prasad K.K. Fousiya M. Anand Kumar K.P. Soman Computer Science And Engineering Jyothi Engineering College Thrissur India Center for Excellence in Computational Engineering and Networking Amrita School of Engineering Coimbatore

Named Entity Recognition is an important application area of Natural Language Processing. It is the process of identifying the designators which are present in a sentence called as named entities. Named Entity Recognition can be performed using rule based approaches, machine learning based approaches and hybrid approaches. This paper proposes a method for Named Entity Recognition of Malayalam language using one of the supervised machine learning approach called Conditional Random field approach.

关键词： Training Hidden Markov models Tagging Speech Feature extraction Testing Natural language processing

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An Experimental Study on Channel Estimation and Synchronization to Reduce Error Rate in OFDM Using GNU Radio

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Procedia Computer Science 2015年 46卷 1056-1063页

作者： C. Anjana S. Sundaresan Tessy Zacharia R. Gandhiraj K.P. Soman Center for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Coimbatore 641112 India Department of ECE Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore 641112 India

Orthogonal Frequency Division Multiplexing (OFDM) is a particular case of multicarrier transmission in which, higher data rates are achieved using carriers that are densely packed. In this paper, implementation of OFDM communication system with channel estimation and synchronization is carried out and the bit error rate (BER) of OFDM system with and without channel estimation is observed and correspondingly a plot is traced. The choice has been made because of the advantages that OFDM and SDR has shown in terms of channel capacity and cost. Implementation of the prototype has been in GNU Radio; an open source software.

关键词： OFDM GNU Radio BPSK Channel Estimation Synchronization FFT IFFT Bit Error Rate(BER).

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Audio Data Authentication with PMU Data and EWT

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Procedia Technology 2015年 21卷 596-603页

作者： Premjith B. Neethu Mohan Prabaharan Poornachandran Soman K.P. Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetha Coimbatore – 641112 India Amrita Center for Cyber Security Systems and Networks Amrita Vishwa Vidyapeetham Kollam

Digital forensics has become a flourishing research area. Electrical Network Frequency (ENF) plays an important role in assessing the authenticity of a digital recording such as audio. ENF criterion is a tool for extracting the embedded power line frequency from the recording. A cross correlation between a reference PMU data and extracted ENF signal can be done in order to determine the authenticity of an audio signal. In this paper, Empirical Wavelet Transform (EWT) is used for extracting the ENF from an audio signal. EWT decomposes signal into N modes. Hilbert Transform is used to compute the instantaneous frequency and amplitude of the extracted mode corresponding to ENF. EWT method is not able to capture the weak harmonics in a signal. This problem is resolved by fixing the frequency domain boundaries of each mode.

关键词： Digital Forensics Electrical Network Frequency Empirical Wavelet Transform Hilbert Transform

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Estimation of Air Pollution using Remote Sensing Technique in Coimbatore-A Case Study

Estimation of Air Pollution using Remote Sensing Technique i...

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International Conference on Communications and Signal Processing

作者： P Geetha M Kokila Remote Sensing and Wireless Sensor Networks Division (Center for Excellence in Computational Engineering and Networking) Amrita Vishwa Vidyapeetham Coimbatore And Tamil Nadu India Remote Sensing and Wireless Sensor Networks division (Center for Excellence in Computational Engineering and Networking) Amrita Vishwa Vidyapeetham Coimbatore And Tamil Nadu India

ISBN: (纸本)9781479980826

in almost all cities in the world, people breathe dirty air. Air pollution concentration has been rapidly increasing in the major urban areas mainly due to the increasing use of vehicles. Urbanization is changing the people's life style, along with it they have serious issues related to health and environment damage. Hysplit4 is simulation software which is used to simulate the trajectory and concentration of the pollutants. GDAS is the common data used for simulating both plot. Path of the pollutants is traced with respect to the given meteorological data (wind speed, direction, temperature), since the pollutants move according to local wind pattern and speed. Meanwhile, concentration plot is simulated to assess the amount of pollutants in specified geographical area. Both the plots have been for the particular study area according to the presence of the pollutants. Generation of these plots will help the environmentalist to pre plan the industrial site, safe chimney height, for planning road ways etc.

关键词： Air pollution Urban Pollution Geo Spatial analysis

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