Government of Tamil Nadu
Government of Tamil Nadu
News Article | April 17, 2017
American Signal Corporation was specifically selected by the Government of Tamil Nadu to create an early warning solution, based on the company's experience with large-scale design and deployment of similar systems worldwide. Most notably, this deployment will mirror the features of ASC's national tsunami early warning systems in Thailand and Sri Lanka, which boast ease of use, industry-leading functionality, unparalleled product quality and proven success. "We're pleased to be selected for this project based on our proven experience in this market and the systems we've deployed to a high level of effectiveness in other regions of the world," said Richard Roe, Vice President at American Signal Corporation. "Being trusted to create an early-warning solution that will benefit upwards of 68 million people is no small honor, and it's a realization of our company's mission: to save lives every day." The design for ASC's tsunami warning solution consists of 450 sites, with 2 geographically-separated command and control centers running the company's latest CompuLertTM NEXGen management software. CompuLertTM NEXGen enables the system to have multiple paths of connectivity for this solution, utilizing IP, Radio and GSM/GPRS systems for unimpeded signal delivery. CompuLertTM NEXGen also affords operators the capacity to manage the system via satellite and Wi-Fi, should future system expansion require alternative connectivity. ASC's industry-leading management software also provides remote system access via a tablet or smartphone, protected by numerous levels of security to ensure access is tightly controlled and monitored at all times. For more information about the joint effort between ASC and UTL to design and deploy Tamil Nadu's tsunami early warning system, please contact the company today. For more information about CompuLertTM NEXGen and ASC's integrated mass notification solutions, please visit the company's website at http://www.americansignal.com/. American Signal Corporation (ASC) is a leading designer and manufacturer of mass notification solutions for a wide variety of applications worldwide. The company combines advanced engineering, innovative software and state-of-the-art equipment with an extraordinary record of longevity and expertise in the field, to develop and install compliant, versatile and effective notification systems. We aim to save lives every day. To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/american-signal-corporation-finalizes-deployment-for-statewide-tsunami-early-warning-system-in-tamil-nadu-india-300440239.html
Charulatha G.,Anna University |
Srinivasalu S.,Anna University |
Uma Maheswari O.,Anna University |
Venugopal T.,Salem College |
Giridharan L.,Government of Tamil Nadu
Arabian Journal of Geosciences | Year: 2017
Contamination of groundwater is one of the major health concerns in the rapidly urbanizing and industrializing world. Since groundwater is one of the most important resources for the domestic, industrial, and agricultural purposes, the quality and quantity is of prime importance. Nitrite which is a reduced form of nitrate ion is one of the potential contaminants in the groundwater. The detection of nitrite ion is one of the laborious works and also it gets easily oxidized to nitrate ion and hence modeling approaches for the nitrite concentration will be one of the resilient quantification techniques. In the present study, the effective performance of the linear and non-linear models such as multiple linear regression (MLR), principal component regression (PCR), artificial neural network (ANN), and the integrated technique of principal components and artificial neural network (PC-ANN) is evaluated in the prediction of the nitrite concentration. The MLR and PCR showed better results either in generation step or in the validation step but not both. ANN shows better results in both generation and validation steps but the results in the validation steps, though good but accuracy is comparatively lower than the generation step. In the case of PC-ANN, the prediction of the model is found to be good both in the generation and in the validation steps. The Nash–Sutcliffe efficiency test clearly illustrates better performance of PC-ANN in comparison with other models in the present study for the quantification of nitrite concentration in groundwater. © 2017, Saudi Society for Geosciences.
Murhekar M.V.,National Institute of Epidemiology |
Dutta S.,United Nations Childrens Fund |
Kapoor A.N.,Indian Council of Medical Research |
Bitragunta S.,Medical and Familty Welfare |
And 8 more authors.
Bulletin of the World Health Organization | Year: 2013
Objective To estimate the proportion of time the vaccines in the cold-chain system in India are exposed to temperatures of < 0 or > 8 °C. Methods In each of 10 states, the largest district and the one most distant from the state capital were selected for study. Four boxes, each containing an electronic temperature recorder and two vials of diphtheria, pertussis and tetanus vaccine, were placed in the state or regional vaccine store for each study state. Two of these boxes were then shipped - one per facility - towards the two most peripheral health facilities where vaccine was stored in each study district. The boxes were shipped, handled and stored as if they were routine vaccine supplies. Findings In state, regional and district vaccine stores and peripheral health facilities, respectively, the temperatures in the boxes exceeded 8 °C for 14.3%, 13.2%, 8.3% and 14.7% of their combined storage times and fell below 0 °C for 1.5%, 0.2%, 0.6% and 10.5% of these times. The boxes also spent about 18% and 7% of their combined times in transit at < 0 and > 8 °C, respectively. In shake tests conducted at the end of the study, two thirds of the vaccine vials in the boxes showed evidence of freezing. Conclusion While exposure to temperatures above 8 °C occurred at every level of vaccine storage, exposure to subzero temperatures was only frequent during vaccine storage at peripheral facilities and vaccine transportation. Systematic efforts are needed to improve temperature monitoring in the cold-chain system in India.
Arunprakash M.,University of Madras |
Giridharan L.,Government of Tamil Nadu |
Krishnamurthy R.R.,University of Madras |
Jayaprakash M.,University of Madras
Environmental Earth Sciences | Year: 2014
Chennai is one of the four major metropolitan cities in India, and is located in the southeastern part of the country. The average rate of population growth of the city is 25 % per decade and this is recurrently reducing the green-covered area in the city. Exceptionally, during the post-economic liberalization period (i.e., between the years 1997 and 2007), the city lost up to 99 % of its green-covered areas at some parts. Subsequently, the Chennai City started to experience wide range of environmental issues, including groundwater pollution and the effects of groundwater depletion. As a consequence of these factors, a study was undertaken to determine the impact of urbanization on the groundwater quality. In the present study, groundwater samples were collected from 54 stations from the study area during the premonsoon and postmonsoon seasons for the year 2011–2012 and were analyzed for physico-chemical parameters and trace elements. The type of water that predominated in the study area was assessed based on hydrochemical facies. The study of the hydrochemical characteristics of the major ions in these waters shows that in premonsoon, the alkalis and the alkaline earth metals are found to be balanced by chlorides and bicarbonates and sulphates, respectively. Reverse ion exchange study illustrates that Ca, Mg and Na concentrations are interrelated through reverse ion exchange. Box and whisker plots illustrate the seasonal effect on the chemical parameters of the groundwater. Gibbs’ diagram reveals that the chemical composition of the groundwater in the study area is predominated by rock–water interaction. Besides, suitability of groundwater for irrigation was evaluated based on sodium adsorption ratio, Kelley’s ratio, magnesium ratio, Wilcox and USSL diagrams. © 2013, Springer-Verlag Berlin Heidelberg.
PubMed | University of Calcutta, National Polytechnic Institute of Mexico, University of Madras and Government of Tamil Nadu
Type: | Journal: Ecotoxicology and environmental safety | Year: 2015
Accumulation of trace metals (Fe, Mn, Cr, Cu, Ni, Co, Pb, Zn, Cd) were investigated in water, sediment (n=20) along with six fish of diverse feeding guilds (Sillago sihama, Liza parsia, Etroplus suratensis, Oreochromis mossambicus, Arius parkii and Gerres oyena) from the Ennore creek, northern part of Chennai metropolitan megacity, southeast coast of India. Dissolved trace metals (DTMs) in surface water samples and total trace metals (TTMs) in surface sediments (top 0-10cm) indicate that concentration pattern of metals was higher in the discharge point of the river/channels entering the main creek. The maximum mean values of DTMs exhibited the following decreasing order (expressed in g/L): Fe (1698)>Mn (24)>Zn (14.50)>Pb (13.89)>Ni (6.73)>Cu (3.53)>Co (3.04)>Cr (2.01) whereas the trend is somewhat different in sediments (gg(-1)): Fe (4300)>Mn (640)>Cr (383)>Zn (155)>Cu (102)>Ni (35)>Pb (32)>Cd (0.51) are mainly due to the industrial complexes right on the banks of the river/channels. Species-specific heterogeneous patterns of tissue metal loads were apparent and the overall metal enrichment exhibited the following decreasing order (expressed in gg(-1)): Cu (7.33)>Fe (6.53)>Zn (4.91)>Cr (1.67)>Pb (1.33)>Ni (0.44)>Mn (0.43)>Co (0.36)>Cd (0.11). This indicates that metals are absorbed onto the different organs, which is also endorsed by the calculated values of bioaccumulation factor (BAFs) (avg. muscle 117, gill 126, liver 123, intestine 118) in fishes. The high calculated biota sediment accumulation factor (BSAF) (0.437) for the species Arius parkii is considered to be a potential bioindicator in this region. The enrichment of trace metals is also supported by the association of metals in water, sediments and different body organs (muscle, gill, liver, intestine) of fish samples. Comparative studies with other coastal regions indicate considerable enrichment of DTMs & TTMs in sediments as well as in various organs of fish samples. Holistic spatial, temporal monitoring and comprehensive regional strategies are required to prevent health risks and ensure nutritional safety conditions.
Saxena S.,Government of Tamil Nadu |
Geethalakshmi V.,Tamil Nadu Agricultural University |
Lakshmanan A.,Tamil Nadu Agricultural University
Weather and Climate Extremes | Year: 2013
Coastal zone is exposed to various natural forces including cyclones and tsunamis, which are constantly affecting the shorelines, beaches and headlands, causing storm surges, erosion/accretion, landslides, and coastal flooding. Magnitude and risk of disasters are directly proportional to the sensitivity and inversely proportional to degree of resilience of exposed community. To mitigate the ill effects of hazards, a thorough understanding of the vulnerability causing factors and coping capabilities is required for which vulnerability analysis is essential. A study was undertaken in the most vulnerable coastal zone in Cuddalore District of Tamil Nadu, with a goal to draw a comprehensive vulnerability framework combining Geo-Physical-Natural factors with Socio-Economic-Institutional factors responsible for causing vulnerability at habitation levels and to construct composite vulnerability index (CVI) and dimensional indices. Analysis on changes along the shoreline using the information extracted from the satellite imageries between the years 1972 and 2011 indicated that the average net rate of shoreline change was +0.15myear-1. Of the total length of 42km studied for shoreline changes, about 40.5% of the coastline is accreting, 15.72% is medium to highly eroded and 18.23% is classified under low erosion zone. The flood hazard mapping study undertaken for a stretch of ~14km along the Cuddalore coastline for 1-in-100-year extreme flood level, including local mean sea level and global sea-level rise, indicated maximum inundation level to be 3.62m form MSL for the Cuddalore coastal region. The composite hazard line drawn on the GIS map shows that in the study area seventeen habitations (coastal settlements) are vulnerable to storm surge coastal flooding generated by one in 100 year return period storm surge (3.62m height). CVI of 17 habitations in study area was developed on a scale of 'one' to 'five' by considering nine broad dimensions of vulnerability viz., geographic, demographic, institutional, natural, social, safety infrastructure, physical, livelihood and economic, each expressed by five indicators, using a total of seventy five variables of vulnerability, with weightage of 22.20%, 13.19%, 13.34%, 13.35%, 9.20%, 6.24%,5.89%, 9.83% and 6.77% respectively, arrived through Analytic Hierarchy Process (AHP). The results indicated that two habitations viz. Samiyarpettai (3.18) and C. Pudupettai (3.10) have CVI in acutely vulnerable (level 3-CVI between 3 and 4) category and rest of the 15 habitations are in the highly vulnerable (level 2-CVI between 2 and 3) category. Dimension wise vulnerability indices appear to differ considerably among different habitations. Institutional vulnerability is in a lower range owing to a better prepared coastal community after 2004 Tsunami. CVI construction enables the policy makers to devise a suitable strategy for vulnerability reduction. The habitation vulnerability mapping provides information for prioritisation of the vulnerability dimensions and is a very useful tool for developing effective policy to reduce vulnerability at habitation level. © 2013 The Authors.
Elumalai G.,Government of Tamil Nadu |
Bhaskar G.B.,Tagore Engineering College |
Subash R.,Tagore Engineering College
Applied Mechanics and Materials | Year: 2014
In the developing countries, the identification of Faulty Vehicle's by the enforcing authorities within a stipulated time is a challenging task. Hit and run accident vehicles, traffic-rule violators, theft vehicles, escaping an accused in a vehicle and nonpayment of tax vehicles etc., are called as faulty vehicles. In the existing Intelligent Transportation System (ITS), only the vehicles are being monitored, instead of catching the faulty vehicle. In this methodology, the vehicles are controlled from the control room itself within stipulated time duration by controlling the fuel mixture. The concept involves minimization or stoppage of fuel mixture to that particular vehicle (three -wheeler Auto and four -wheeler Maruthi 800), depending upon its location (GPS) and the traffic environment; by using the specially designed electronic control unit (ECU) and with the help of a network provider (GSM). The entire concept is explained in this paper with the help of block diagram and photographs. From this investigation it's observed that the vehicle could be stopped and it can be caught by the enforcing authority for necessary action. © (2014) Trans Tech Publications, Switzerland.
News Article | December 26, 2016
Tantiv4 is pleased to announce the unveiling of its flagship product, FetchitGO, at Connect 2016, the city’s premier event in ICT. The event, organized jointly by the Confederation of Indian Industry and the Government of Tamil Nadu, is being held for the 16th time. This year’s theme is “Building the Digital State: Fostering Ecosystem”. Mr. Lokesh Johri, CEO, Tantiv4 explained the advantages of Open Interoperability and Integration, adding “It is normal for each vendor to try and build silos for its products, such that you have to be buy controllers, actuators, and services from the same Company. However, as we have seen with the growth of smartphones, consumers much prefer an Open Platform which will work with multiple service providers. Today, we can deliver that”. FetchIT provides a single view to control and trigger IoT devices, with up to 16 programmable buttons. Each button is customizable by the end-user, to trigger actions. Unlike other products available, FetchIT can integrate with multiple ecosystems simultaneously, preventing vendor lock-in and enhancing the value for consumers. It also enables, through its use of data analytics and smartphone Apps, the ability to understand, predict and proactively trigger responses to consumer behavior. The in-home ecosystem uses standards-compliant technologies, including the Thread Protocol and IPv6 over Low Power Wireless Personal Area Networks (6LoWPAN). “We are happy to see actual solutions in the consumer space that utilize the advantages and benefits that the IPv6 stack brings to the marketplace”, said Mr Linus Tan, VP, IPv6 Forum (Singapore). “This is a device that interoperates, and achieves fantastic power savings by its use of the standards”. Currently, FetchIT can be directly and simply utilized by end-users to control thousands of devices and from vendors like Phillips Hue, Amazon Alexa, Fitbit and Google Nest. It also integrates with software services such as Yahoo! News, Google Calendar, Yelp, and eBay. FetchIT operates via middleware services, supporting, among others, IFTTT and Stringify. All this is available to the end-user with no additional programming or license fees. “Additionally, DIY enthusiasts at home are creating smart ecosystems on their own, with the capacity to learn and build a system that works they wish it to, without being stuck if a device vendor goes out of business”, said Mr. Nehru Babu, of Tantiv4 India. Tantiv4, headquartered in Sunnyvale, CA, is a member of leading IoT industry associations like the Thread Group, and is committed to produce inter-operable ecosystem devices and protocols. If you would like more information about this topic, please contact Lokesh Johri at +1 408 838 5386 or email at contact(at)tantiv4(dot)com. FetchIT is a trademark of Tantiv4 Inc. All other trademarks used are the property of their respective owners.
Qadri S.M.H.,Central Sericultural Research and Training Institute |
Prabhakaran V.,Government of Tamil Nadu
Indian Silk | Year: 2012
India is surging ahead in production of quality silk i.e., bivoitine of high grades; movement is gradual but steady. And, here the exemplary position has been earned by Tamil Nadu. Thanks to consistent efforts made by the scientists of RSRS, Salem and CSRTI, Mysore along with the state department, and for the conviction nurtured by the Team to lead the country in bivoitine silk production. Presented here is the story how this feat could be achieved.
Bhaskaran E.,Government of Tamil Nadu
SAE Technical Papers | Year: 2011
The Chennai is an one of Automotive hub of India due to it's Automotive Industry presence producing over 40% of the India's Vehicle and Components. During 2001-02, the Automotive Component Industries(ACI) in Ambattur Industrial Estate, Chennai has faced problems on infrastructure(Approach Road, Storm water drainage system, Sewerage System, Sewage treatment plant, Solid Waste Management, Landscaping, Street Lighting and Logistics/ Parking), technology, procurement, production and marketing. In the year 2004-05 under the Cluster Development Approach (CDA), they formed Auto Cluster (AC) got grant under Industrial Infrastructure Upgradation Scheme from Government of India under Public Private Partnership Concept and implemented UNIDO-AIEMA Auto Cluster Supplier Development Programme under Consolidated Project for SME development in India. Due to this the infrastructure, technology, procurement, production and marketing interrelationships taken place among ACI. The objective is to find the technical efficiency of auto cluster before (2001-02) and after the CDA (2008-09). The methodology adopted is collection of primary data from ACI and analyzing using Data Envelopment Analysis (DEA) of Charnes-Cooper-Rhodes (CCR) Model. The Correlation Coefficient Analysis reveals that there is significant increase in correlation coefficient and the Regression Analysis informs that for one percent increase in employment and net worth the gross output increases significantly after the CDA. The DEA gives the technical efficiency of ACI by taking employment, net worth as input variable and gross output as output variable. From the technical score and ranking of auto component manufactures, it is found that there is significant increase in technical efficiency of ACI after the CDA when compared to before CDA. The slack variables obtained clearly reveals the excess employment and net worth and no shortage of gross output. Government policy on CDA by intervention in interrelationships not only benefited Chennai Auto Cluster in general but also Chennai Auto Components Industries in particular. Copyright © 2011 SAE International.