The classical power law relaxation, i.e. relaxation of current with inverse of power of time for a step-voltage excitation to dielectric—as popularly known as Curie-von Schweidler law is empirically derived and is ob...The classical power law relaxation, i.e. relaxation of current with inverse of power of time for a step-voltage excitation to dielectric—as popularly known as Curie-von Schweidler law is empirically derived and is observed in several relaxation experiments on various dielectrics studies since late 19th Century. This relaxation law is also regarded as “universal-law” for dielectric relaxations;and is also termed as power law. This empirical Curie-von Schewidler relaxation law is then used to derive fractional differential equations describing constituent expression for capacitor. In this paper, we give simple mathematical treatment to derive the distribution of relaxation rates of this Curie-von Schweidler law, and show that the relaxation rate follows Zipf’s power law distribution. We also show the method developed here give Zipfian power law distribution for relaxing time constants. Then we will show however mathematically correct this may be, but physical interpretation from the obtained time constants distribution are contradictory to the Zipfian rate relaxation distribution. In this paper, we develop possible explanation that as to why Zipfian distribution of relaxation rates appears for Curie-von Schweidler Law, and relate this law to time variant rate of relaxation. In this paper, we derive appearance of fractional derivative while using Zipfian power law distribution that gives notion of scale dependent relaxation rate function for Curie-von Schweidler relaxation phenomena. This paper gives analytical approach to get insight of a non-Debye relaxation and gives a new treatment to especially much used empirical Curie-von Schweidler (universal) relaxation law.展开更多
Aviation is one of the fastest growing industries as well as transportation modes in the world. Global aviation contributes about 2% of global greenhouse gas emissions and supports 8% of the world economic activity in...Aviation is one of the fastest growing industries as well as transportation modes in the world. Global aviation contributes about 2% of global greenhouse gas emissions and supports 8% of the world economic activity in terms of GDP. With the phenomenal growth in air trafficking by the national and international airliners the total carbon space available for flying is getting progressively diminished and the consequential emission levels are also becoming alarming over passage of time. The paper describes the concept of evolution of Green Transport system with focus on manufacturing of green aircraft and sustainable green marketing involving green supply chain. This entails introduction of New and innovative technologies, including aircraft designing, improving operational efficiency, air traffic control & monitoring etc;combined with emission mitigation efforts towards sustainable growth of the industry, can make enormous improvements in emission control and reduction in a planned and system-based manner. These integrated approaches are proposed to be used to harmonize the systems and processes that can essentially constitute the suggested framework of the Green Aviation Transport system. The paper, inter alia, discusses various conceptual, strategic, technological and economic and environmental dimensions of the Green Aviation transport system with focus on creating new Green Marketing opportunities for the aviation industry in future.展开更多
Global information security and the threats to its integrity are becoming increasingly important.In this paper,the authors talk about areas requiring international cooperation,the major problems with current internati...Global information security and the threats to its integrity are becoming increasingly important.In this paper,the authors talk about areas requiring international cooperation,the major problems with current international cooperation,and finally give their reflections on international cooperation.展开更多
The major theme of Sino-U.S.relations in the first couple of years in the post-Cold War era is conflict.The two countries have been in confrontation in threemajor areas:human rights, non-proliferation, and Taiwan.The ...The major theme of Sino-U.S.relations in the first couple of years in the post-Cold War era is conflict.The two countries have been in confrontation in threemajor areas:human rights, non-proliferation, and Taiwan.The climax of thepost-Cold War Sino-U.S.confrontation is in Spring 1996, when America sent展开更多
New China is celebrating its 50th birthday at the dawn of a new millennium,thethird one. This provides an opportune occasion to reflect on the nation’s questfor modernization, a half-finished saga of ups and downs, j...New China is celebrating its 50th birthday at the dawn of a new millennium,thethird one. This provides an opportune occasion to reflect on the nation’s questfor modernization, a half-finished saga of ups and downs, joys and sorrows and tolook ahead to the country’s future.展开更多
Introduction There is a time and tide tor ev- erything. This is a season in which the global quest for human rights is at its peak. Freedom is on the march. Throughout Asia and Africa, the ardor for liberty is spreadi...Introduction There is a time and tide tor ev- erything. This is a season in which the global quest for human rights is at its peak. Freedom is on the march. Throughout Asia and Africa, the ardor for liberty is spreading. The quest for the inalienable fights of human beings has gained universal appeal. It is now recognized that state sovereignty is a shield against external aggression. It cannot be used as a sword against one＇s own nationals. Human rights abuses in any land deserve world-wide condem- nation because ＂injustice anywhere is a threat to iustice everywhere.＂展开更多
In this paper,we have applied the univariate time series model to predict the number of COVID-19 infected cases that can be expected in upcoming days in India.We adopted an Auto-Regressive Integrated Moving Average(AR...In this paper,we have applied the univariate time series model to predict the number of COVID-19 infected cases that can be expected in upcoming days in India.We adopted an Auto-Regressive Integrated Moving Average(ARIMA)model on the data collected from 31st January 2020 to 25th March 2020 and verified it using the data collected from 26th March 2020 to 04th April 2020.A nonlinear autoregressive(NAR)neural network was developed to compare the accuracy of predicted models.The model has been used for daily prediction of COVID-19 cases for next 50 days without any additional intervention.Statistics from various sources,including the Ministry of Health and Family Welfare(MoHFW)and http://covid19india.org/are used for the study.The results showed an increasing trend in the actual and forecasted numbers of COVID-19 cases with approximately 1500 cases per day,based on available data as on 04th April 2020.The appropriate ARIMA(1,1,0)model was selected based on the Bayesian Information Criteria(BIC)values and the overall highest R 2 values of 0.95.The NAR model architecture constitutes ten neurons,which was optimized using the Levenberg-Marquardt optimization training algorithm(LM)with the overall highest R 2 values of 0.97.展开更多
文摘The classical power law relaxation, i.e. relaxation of current with inverse of power of time for a step-voltage excitation to dielectric—as popularly known as Curie-von Schweidler law is empirically derived and is observed in several relaxation experiments on various dielectrics studies since late 19th Century. This relaxation law is also regarded as “universal-law” for dielectric relaxations;and is also termed as power law. This empirical Curie-von Schewidler relaxation law is then used to derive fractional differential equations describing constituent expression for capacitor. In this paper, we give simple mathematical treatment to derive the distribution of relaxation rates of this Curie-von Schweidler law, and show that the relaxation rate follows Zipf’s power law distribution. We also show the method developed here give Zipfian power law distribution for relaxing time constants. Then we will show however mathematically correct this may be, but physical interpretation from the obtained time constants distribution are contradictory to the Zipfian rate relaxation distribution. In this paper, we develop possible explanation that as to why Zipfian distribution of relaxation rates appears for Curie-von Schweidler Law, and relate this law to time variant rate of relaxation. In this paper, we derive appearance of fractional derivative while using Zipfian power law distribution that gives notion of scale dependent relaxation rate function for Curie-von Schweidler relaxation phenomena. This paper gives analytical approach to get insight of a non-Debye relaxation and gives a new treatment to especially much used empirical Curie-von Schweidler (universal) relaxation law.
文摘Aviation is one of the fastest growing industries as well as transportation modes in the world. Global aviation contributes about 2% of global greenhouse gas emissions and supports 8% of the world economic activity in terms of GDP. With the phenomenal growth in air trafficking by the national and international airliners the total carbon space available for flying is getting progressively diminished and the consequential emission levels are also becoming alarming over passage of time. The paper describes the concept of evolution of Green Transport system with focus on manufacturing of green aircraft and sustainable green marketing involving green supply chain. This entails introduction of New and innovative technologies, including aircraft designing, improving operational efficiency, air traffic control & monitoring etc;combined with emission mitigation efforts towards sustainable growth of the industry, can make enormous improvements in emission control and reduction in a planned and system-based manner. These integrated approaches are proposed to be used to harmonize the systems and processes that can essentially constitute the suggested framework of the Green Aviation Transport system. The paper, inter alia, discusses various conceptual, strategic, technological and economic and environmental dimensions of the Green Aviation transport system with focus on creating new Green Marketing opportunities for the aviation industry in future.
文摘Global information security and the threats to its integrity are becoming increasingly important.In this paper,the authors talk about areas requiring international cooperation,the major problems with current international cooperation,and finally give their reflections on international cooperation.
文摘The major theme of Sino-U.S.relations in the first couple of years in the post-Cold War era is conflict.The two countries have been in confrontation in threemajor areas:human rights, non-proliferation, and Taiwan.The climax of thepost-Cold War Sino-U.S.confrontation is in Spring 1996, when America sent
文摘New China is celebrating its 50th birthday at the dawn of a new millennium,thethird one. This provides an opportune occasion to reflect on the nation’s questfor modernization, a half-finished saga of ups and downs, joys and sorrows and tolook ahead to the country’s future.
文摘Introduction There is a time and tide tor ev- erything. This is a season in which the global quest for human rights is at its peak. Freedom is on the march. Throughout Asia and Africa, the ardor for liberty is spreading. The quest for the inalienable fights of human beings has gained universal appeal. It is now recognized that state sovereignty is a shield against external aggression. It cannot be used as a sword against one＇s own nationals. Human rights abuses in any land deserve world-wide condem- nation because ＂injustice anywhere is a threat to iustice everywhere.＂
文摘In this paper,we have applied the univariate time series model to predict the number of COVID-19 infected cases that can be expected in upcoming days in India.We adopted an Auto-Regressive Integrated Moving Average(ARIMA)model on the data collected from 31st January 2020 to 25th March 2020 and verified it using the data collected from 26th March 2020 to 04th April 2020.A nonlinear autoregressive(NAR)neural network was developed to compare the accuracy of predicted models.The model has been used for daily prediction of COVID-19 cases for next 50 days without any additional intervention.Statistics from various sources,including the Ministry of Health and Family Welfare(MoHFW)and http://covid19india.org/are used for the study.The results showed an increasing trend in the actual and forecasted numbers of COVID-19 cases with approximately 1500 cases per day,based on available data as on 04th April 2020.The appropriate ARIMA(1,1,0)model was selected based on the Bayesian Information Criteria(BIC)values and the overall highest R 2 values of 0.95.The NAR model architecture constitutes ten neurons,which was optimized using the Levenberg-Marquardt optimization training algorithm(LM)with the overall highest R 2 values of 0.97.
