Informatics Publishing Limited

M. Ramasubramanian ¹, B. Ponnambalam ², R. Latha ², M. A. Dorai Rangaswamy ¹

Affiliations
1 Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Missions University, Rajiv Gandhi Salai,(OMR),Paiyanoor-603104, Kancheepuram District, Tamilnadu, IN
2 Department of Computer Science and Engineering , Aarupadai Veedu Institute of Technology, Vinayaka Missions University, Rajiv Gandhi Salai,(OMR),Paiyanoor-603104, Kancheepuram District, Tamilnadu, IN

Abstract

3D shape reconstruction from 2D images is an inverse problem, and is therefore mathematically ill-posed. One solution to 3D shape reconstruction problem is to use a model based approach. This paper presents an analysis by synthesis method for solving 3D face reconstruction problems using anatomical landmarks and intensity from 2D frontal face images.

To improve the quality of 3D shape reconstruction we incorporate a number of steps in analysis by synthesis framework. Firstly, we approach the 3D model construction problem by using rigid and non rigid surface registration. Secondly, we simplify the shape estimation by using multidimensional amoeba optimization to optimize shape parameters while mapping texture directly using 3D-2D alignment. Thirdly, we evaluate the quality of the 3D shape reconstruction in the context of 3D shape error as well as by visual analysis.

Keywords

3D Face Database, Statistical Shape Modeling.

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G. Vasanthamani ¹, R. Latha ¹

Affiliations
1 Avinashilingam Institute for Home Science and Higher Education for Women, Deemed University, Coimbatore - 641 043, IN

Abstract

Industrial workers constitute a vital segment of our population in view of their significant contribution to the national income. In India the worker population constitute 31.43 crores of which the main working population consists of 28 to 54 crores of agricultural workers, labourers and industrial workers.

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Usha Chandrasekhar ¹, S. Radha Devi ¹, R. Latha ¹

Affiliations
1 Dept. of Foods & Nutrition, Avinashilingam Institute for Home Science and Higher Education for Women, Deemed University, Coimbatore 641 043, IN

Abstract

One of the considerable problems of public health throughout the world especially in developing countries is anaemia. The incidence of anaemia in developing countries is high when compared to that of industrialised parts of the world.

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E. Divya ¹, R. Latha ¹

Affiliations
1 Department of Computer Applications, St Peter’s University, Avadi , Chennai – 600054, Tamil Nadu, IN

Abstract

The safety concern in means of transport has been considerably increased in last few decades. Distinct Sensory systems have been applied inside and outside vehicles in order to save lives. In this regard, imaging and vision system are used for capturing the static position of the passengers inside the vehicle during collision. There are many approaches to capture an image concatenation from a camera and to analyze them. The image of the passengers is captured during rear end vehicle collision by an inside car camera which is fixed on the left top of front windshield and an event parsing algorithm identifies the collision that has occurred. The decomposing of the collision activity is classified into three activity and uses the Or-And Graph (OAG) to compose the compositions of the temporal relationship among the collision detection. An online parsing (OP) algorithm for OAG formed from Earle's parser is employed to parse the image and identify the passenger's condition. This technique could be used as an enhancement for the safety of the passengers and to provide immediate assistance during vehicle collision.

Keywords

Inside-Car Camera, Or-and Graph (OAG), Sensory Systems, Static Position, Vehicle Collision.

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Gufran Beig ¹, Mohan P. George ², Saroj K. Sahu ³, Aditi Rathod ¹, Siddhartha Singh ⁴, Shruti Dole ¹, B. S. Murthy ¹, R. Latha ¹, Suvarna Tikle ¹, H. K. Trimbake ¹, Rajanikant Shinde ¹

Affiliations
1 Indian Institute of Tropical Meteorology (Ministry of Earth Sciences), Pune 411 008, IN
2 Delhi Pollution Control Committee, New Delhi 110 003, IN
3 Utkal University, Bhubaneshwar 751 004, IN
4 India Meteorological Department, New Delhi 110 003, IN

Abstract

The Megacity of Delhi, home to 19 million inhabitants, is infamous for its poor air quality mainly due to anthropogenic emissions. While the COVID-19 pandemic is a health emergency, lockdown due to it saw an unprecedented decline in emission sources of pollutants by ∼85%–90% in Delhi, resulting in sharp decline in the concentration of majority of pollutants. Here we report the experimental estimate of baseline level that is defined as the minimum level reached after lockdown under consistent fair weather condition of major criteria pollutants. This may be considered as an indicator of the background levels to which the population is chronically exposed. The consequences of such chronic air pollution exposure are excess respiratory and cardiovascular morbidity and mortality which are reported to be more serious than severe pollution episodes by epidemiologists. As the lockdown which was imposed on 24 March 2020, was extended during April and May, we present the prevailing ambient pollution levels and compare them with the baseline levels. Results are based on India’s largest monitoring network of 34 stations in Delhi. The findings are critical for policymakers to fine-tune ambient air quality standards and regulations leading to the development of effective risk management policies and control strategies.

Keywords

Air Pollution, Anthropogenic Emissions, Baseline Level, COVID-19 Pandemic.

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