Improved Model of Global Quality Infrastructure Index (GQII) for Inclusive National Growth

790-799The Quality Infrastructure (QI) of a country relies on 4 major pillars i.e. metrology, standardization, accreditation, and certification. These pillars are closely associated and build a system of national and international organizations for barrier-free trade following relevant, standards, guides, rules and regulations, policies, protocols, etc. The recently developed Aswal model for the effective and robust QI system clearly explains the mechanisms wherein metrology as a core pillar and an invisible force, in association with documentary standards, accreditation, and conformity assessment facilitates the strong interactions among the Government agencies; Universities and Academic Institutions; Science and Technology Institutions; Citizens, Media and industry, for the comprehensive development and inclusive growth of the country for improved quality of life. Ulrich and Matteo proposed a Global Quality Infrastructure Index (GQII) as an indicator to measure the growth and the performance of QI of an economy. In the present paper, improved model is proposed for the GQII. A case study is presented using the improved GQII and utilizing the data available in the public domain i.e. BIPM website related to member states countries (62 countries). Further, the Global Competitiveness Index (GCI) which is used to measure the institutions, policies, and the effective use of available resources for sustainable prosperity and level of prosperity of their citizen is studied and compared with GQII for some of the leading economies. The study also depicts the export status of the leading economics with the GQII. The study clearly indicates the correlation of GQII with various influencing components i.e. calibration and measurement capabilities (CMCs), key and supplementary comparisons (K&SCs), gross domestic product (GDP) per Capita, and % expenditure of GDP incurred on education. GQII value is normally higher with higher participation in key comparisons and having a higher number of CMCs. Similarly, the same trend is obtained between GQII and GDP per capita as well as the % expenditure of GDP incurred on education. The Indian data related to these parameters is also presented and discussed. Admittedly, though utmost care is taken to accommodate the most relevant and latest information and earlier published work, some of the unnoticed discrepancies are not ruled out, which may be unintentional. The study would be very helpful for the government agencies, industry, academia, and enterprises for future decisions and policymaking related to strong and robust QI

Improved Model of Global Quality Infrastructure Index (GQII) for Inclusive National Growth

The Quality Infrastructure (QI) of a country relies on 4 major pillars i.e. metrology, standardization, accreditation, and certification. These pillars are closely associated and build a system of national and international organizations for barrier-free trade following relevant, standards, guides, rules and regulations, policies, protocols, etc. The recently developed Aswal model for the effective and robust QI system clearly explains the mechanisms wherein metrology as a core pillar and an invisible force, in association with documentary standards, accreditation, and conformity assessment facilitates the strong interactions among the Government agencies; Universities and Academic Institutions; Science and Technology Institutions; Citizens, Media and industry, for the comprehensive development and inclusive growth of the country for improved quality of life. Ulrich and Matteo proposed a Global Quality Infrastructure Index (GQII) as an indicator to measure the growth and the performance of QI of an economy. In the present paper, improved model is proposed for the GQII. A case study is presented using the improved GQII and utilizing the data available in the public domain i.e. BIPM website related to member states countries (62 countries). Further, the Global Competitiveness Index (GCI) which is used to measure the institutions, policies, and the effective use of available resources for sustainable prosperity and level of prosperity of their citizen is studied and compared with GQII for some of the leading economies. The study also depicts the export status of the leading economics with the GQII. The study clearly indicates the correlation of GQII with various influencing components i.e. calibration and measurement capabilities (CMCs), key and supplementary comparisons (K&SCs), gross domestic product (GDP) per Capita, and % expenditure of GDP incurred on education. GQII value is normally higher with higher participation in key comparisons and having a higher number of CMCs. Similarly, the same trend is obtained between GQII and GDP per capita as well as the % expenditure of GDP incurred on education. The Indian data related to these parameters is also presented and discussed. Admittedly, though utmost care is taken to accommodate the most relevant and latest information and earlier published work, some of the unnoticed discrepancies are not ruled out, which may be unintentional. The study would be very helpful for the government agencies, industry, academia, and enterprises for future decisions and policymaking related to strong and robust QI

Necessity of 'two time zones: 1ST-I (UTC+5: 30 h) and 1ST-II (UTC+6: 30 h)' in India and its implementation

A strong demand of a separate time zone by northeast populace has been a matter of great debate for a very long period. However, no implementable solution to this genuine problem has yet been proposed. The CSIR-National Physical Laboratory, CSIR-NPL (the National Measurement Institute, NMI, of India and custodian of Indian Standard Time, 1ST) proposes an implementable solution that puts the country in two time zones: (1) IST-I (UTC + 5 : 30 h, represented by longitude passing through 82 degrees 33E) covering the regions falling between longitude 68 degrees 7 E and 89 degrees 52 E and (ii) IST-II (UTC + 6 : 30 h, represented by longitude passing through 97 degrees 30 E) encompassing the regions between 89 degrees 52 E and 97 degrees 25 E. The proposed demarcation line between IST-I and IST-II, falling at longitude 89 degrees 52 E, is derived from analyses of synchronizing the circadian clocks to normal office hours (9 : 00 a.m. to 5 : 30 p.m.). This demarcation line passes through the border of West Bengal and Assam and has a narrow spatial extension, which makes it easier to implement from the railways point of view. Once approved, the implementation would require establishment of a laboratory for 'Primary Time Ensemble - II' generating IST-II in any of the north-eastern states, which would be equivalent to the existing 'Primary Time Ensemble-I' at CSIR-NPL, New Delhi

CSIR-NPL establishes facility for efficiency validation of solar cells

In India, the research on solar cells is b e- ing pursued in various scientific labor a- tories and industries; however, there is no facility for the validation of s o l ar cell efficiency. Globally there are three re c- ognized ce n ters available for validation of solar cell efficiency, namely National Renewable Energy Laboratory (USA), Fraunhofer Physikalisch - Technische Bundesanstalt (Germany) and Institute of Advanced Indus trial Science and Tec h- nology (Japan). In order to validate the e f ficiency of the fabricated solar cells, these have to be sent to one of the above - mentioned centers and this process is not only e x pensive but also time consuming. For the validation of e f fic iency of such devices , it requires calibration of various individual parameters involved in mea s- urement of efficiency, such as, light source, cu r rent/voltage source - meter, temper a ture sensors and active area of device