Spatial data integration for disaster/emergency management: an Indian experience

V. Bhanumurthy,K. Ram Mohan Rao,G. Jai Sankar,P. V. Nagamani 대한공간정보학회 2017 Spatial Information Research Vol.25 No.2

Disaster/emergency management needs rapid sharing of essential database for effective decision making. It requires comprehensive and structured database elements for handling emergency situations. The essential database includes variety of multi-scale information covering core, disaster specific and non-spatial information for effective decision making. Every disaster is unique and requires specific information for effective handling of the situation in all the phases of emergency management. Spatial technologies enable effective disaster risk management to assess and map extent of natural events such as floods, cyclones, tsunami, landslide, earthquake, forest fire etc. These disaster products derived from space based inputs generated in near/real time are extremely useful for planning and decision making. However, building spatial database system is a complex task because of key challenges. In this article the concept of spatial data integration is defined for effective integration procedures, storage methods, analysis, and dissemination of these inputs as web services for decision support tools for effective disaster/ emergency management.

Hydrogen production using high temperature reactors: an overview

Deokattey, Sangeeta,Bhanumurthy, K.,Vijayan, P.K.,Dulera, I.V. Techno-Press 2013 Advances in energy research Vol.1 No.1

The present work is an attempt to provide an overview, about the status of R&D and current trends in Hydrogen Production using High Temperature Reactors. Bibliographic references from the INIS database, the Science Direct database and the NTIS database were downloaded and analyzed. Ten year data on the subject, published between 2001 and 2010, was selected for the study. Appropriate qued ry formulations on these databases, resulted in the retrieval of 621 unique bibliographic records. Using the content analysis method, all the records were analyzed. Part One of the analysis details Scientometric R&D indicators, Part Two is a subject-based analysis, grouped under: A. International Initiatives and Programmes for Hydrogen Production; B. European R&D initiatives for Hydrogen production; C. National Initiatives and Programmes for Nuclear Hydrogen Production; D. Reactor Technologies for Nuclear Hydrogen production; E. Fuel Developments; F. Hydrogen Production Processes using HTRs and G. Materials Consideration for Nuclear Hydrogen Production. The results of this analysis are summarized in the study.

Exchange Rate Regimes and Inflation: Evidence from India

Biswajit Mohanty,N.R. Bhanumurthy 한국국제경제학회 2014 International Economic Journal Vol.28 No.2

Exchange rate stability is crucial for inflation management as a stable rate is expected to reduce domestic inflation pressures through a ‘policy discipline effect’ – restricting money supply growth, and a ‘credibility effect’ – inducing higher money demand and reduced velocity of money. Alternatively, the ‘impossibility trillema’ of Mundell (1961a33. Mundell, R. A. (1961a). Capital mobility and stabilization policy under fixed and flexible exchange rates. Canadian Journal of Economics and Political Science, 29, 475–485. doi: 10.2307/139336[CrossRef], [Web of Science ®]View all references, 1961b34. Mundell, R. A. (1961b). Flexible exchange rates and employment policy. Canadian Journal of Economics and Political Science, 27, 509–517. doi: 10.2307/139437[CrossRef], [Web of Science ®]View all references) predicts that in the presence of an open capital account, a stable exchange rate may lead to lack of control on monetary policy and, hence, higher inflation. Using a monetary model of Inflation, this paper investigates the impact of the ‘empirically-claimed’ de facto stable exchange rate regime on inflation in India during different sub-periods of exchange rate stability. The results show that the impact of exchange rate regime on inflation is not visible in the Indian case, which could be because of the offsetting sterilization policy undertaken by the Reserve Bank of India (RBI) during expansionary money supply growth resulting from its large-scale intervention to even out exchange rate volatility.

A Novel Mutation in the DNA Binding Domain of NFKB is Associated with Speckled Leukoplakia

Govindarajan, Giri Valanthan Veda,Bhanumurthy, Lokesh,Balasubramanian, Anandh,Ramanathan, Arvind Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.7

Background: Activation and inactivation of nuclear factor of kappa light chain gene enhancer in B cells (NFKB) is tightly regulated to ensure effective onset and cessation of defensive inflammatory signaling. However, mutations within NFKB, or change in activation and inactivation molecules have been reported in a few cancers. Although oral squamous cell carcinoma is one of the most prevalent forms of cancer in India, with a development associated with malignant transformation of precancerous lesions, the genetic status of NFKB and relative rates of change in oral precancerous lesions remain unknown. Hence in the present study we investigated all twenty four exons of NFKB gene in two precancerous lesions, namely oral submucous fibrosis (OSMF) and oral leukoplakia (OL) to understand its occurrence, incidence and assess its possible contribution to malignant transformation. Materials and Methods: Chromosomal DNA isolated from twenty five each of OSMF and OL tissue biopsy samples were subjected to PCR amplification with intronic primers flanking twenty four exons of the NFKB gene. The PCR amplicons were subsequently subjected to direct sequencing to elucidate the mutation status. Results: Sequence analysis identified a novel heterozygous mutation, c.419T>A causing substitution of leucine with glutamine at codon 140 (L140Q) in an OL sample. Conclusions: The identification of a substitution mutation L140Q within the DNA binding domain of NFKB in OL suggests that NFKB mutation may be relatively an early event during transformation. To the best of our knowledge, this study is the first to have identified a missense mutation in NFKB in OL.

Automatic procedures analyzing remote sensing data to minimize flood response time: a step towards National flood mapping service

Vinod Kumar Sharma,G. Srinivasa Rao,C. M. Bhatt,Abhinav Kumar Shukla,Ashish Kumar Mishra,V. Bhanumurthy 대한공간정보학회 2017 Spatial Information Research Vol.25 No.5

Value added flood products helps decision makers in an efficient relief and rescue operations. On time availability of flood products, may help decision makers, in early decision making. Indian monsoon causes floods in several Indian states at a time, every year. Mapping multiple states at a time needs lot of man power and expertise. Manual flood mapping process is a time consuming process. Automatic procedures, for delineating flood and generation of value added products from satellite images can reduce the critical time-span. In the present study, an attempt is made to automate the entire flood mapping chain. The prototype study, is demonstrated for the state of Assam and the modules developed are tested for the multiple flood events during the Brahmaputra floods of August–September, 2016. The modules are checked for each stage and their outputs are validated with those as derived from manual procedures. The study has demonstrated significant reduction in the turn out time for flood response, which is very important during rapid disaster response.

Web processing service integrated with mobile application to identify suitable grain storage facility location

Vinod Kumar Sharma,Vijaya Banu,K. Chandrasekar,Bimal K. Bhattacharya,M. V. R. Sesha Sai,V. Bhanumurthy 대한공간정보학회 2017 Spatial Information Research Vol.25 No.1

Heavy rains causing a flood like situation affect the grains stored in godowns. To save the grains from floods, they have to be transferred to safer places. Historical flood layers derived using the remote sensing data can be helpful in determining the safe place for transferring the grains from the flood affected godowns. Analyzing of satellite data for determining the safer locations needs specialized skills and GIS software’s. To overcome this, a web based information system, capable of organizing, hosting, and sharing of the flood layers and other spatial datasets as open geospatial consortium compatible web processing services is needed. For transferring the grains, the management must have the existing stock information of the flood affected godown as well as stock information of the godown where the grains are planned to be shifted. Mobile application, capable of reporting the stock information along with the godown location and ground photographs can be an efficient solution to do so. This paper presents work on web processing services integrated with mobile application using open source technologies to identify suitable grain godowns location.