International Journal of Advanced Computer Science and Applications, 2013
Digital synthesis with a goal of chip designing in the commercial electronics arena is packed int... more Digital synthesis with a goal of chip designing in the commercial electronics arena is packed into large EDA Software providers like, Synopsys, Cadence, or MentorGraphics. These commercial tools being expensive and having closed file structures. It is also a financial constraint for the startup companies sometimes who have their budget limitations. Any bug-fixes or add features cannot be made with ease; in such scenario the company is forced to opt for an alternative cost effective EDA software. This paper deals with the advantages of using open source EDA tools like Icarus Verilog, Verilator, GTKwave viewer, GHDL VHDL simulator, gEDA, etc. that are available as a free source and focuses on the Icarus Verilog simulator tool. It can be seen as a big encouragement for startups in Semiconductor domain. Thereby, these open source EDA tools make the design process more cost-effective, less time consuming and affordable as well.
Background Premature mortality from cardiovascular diseases could be prevented by the effective c... more Background Premature mortality from cardiovascular diseases could be prevented by the effective control of hypertension. Nationwide data for the status of hypertension in the adult Greek population are not available.
International Journal of Computer Applications, 2012
Drugs discovery & design is an intense, lengthy and consecutive process that starts with the lead... more Drugs discovery & design is an intense, lengthy and consecutive process that starts with the lead & target discovery followed by lead optimization and pre-clinical in vitro & in vivo studies. This paper throws light on different computational techniques that play a vital role in the drugs discovery & design process. Earlier, computational techniques are use in the field of computer science, electrical engineering and electronics & communication engineering to solve the problems. But, now day's use of these techniques has changed the scenario in drugs discovery. & design from the last two decades. This paper present brief description of different computational techniques such as Particle Swarm Optimization, Ant Colony Optimization, Artificial Neural Network, Fuzzy logic, Genetic Algorithm, Genetic Programming, Evolutionary Programming, Evolutionary Strategy and also provide a tabular comparison of these techniques as well as a list of computational tools/ software.
The prediction of Parkinson's disease in early age has been challenging task among resear... more The prediction of Parkinson's disease in early age has been challenging task among researchers, because the symptoms of disease came into existence in middle and late middle age. There are lots of symptoms that lead to Parkinson's disease. But this article focuses on the speech articulation difficulty symptoms of PD affected people and try to formulate the model on the behalf of three data mining methods. These three data mining methods are taken from three different domains of data mining i.e., from tree classifier, statistical classifier, and support vector machine classifier. Performance of these three classifiers is measured with three performance matrices i.e., accuracy, sensitivity, and specificity. Hence, the main task of this article is tried to find out which model identified the PD affected people more accurately.
The study composed two stage evaluations, a passive observation and a time and motion study. Syst... more The study composed two stage evaluations, a passive observation and a time and motion study. Systemic random sampling method was used to select 863 mothers/caregivers attending the immunization clinic. Results. At the immunization clinic, the study participants spent 64.1% of their total time in waiting. For new cases, the mean time taken for initial registration and receiving postvaccination advice was found to be significantly longer than old cases. Delivering health care services took more time during Mondays and also during the first hour of the day. Conclusion. Results of this study will guide public health decision-makers at all government levels in planning and implementation of immunization programs in developing countries.
Background. Malaria still remains a public health problem in developing countries and changing en... more Background. Malaria still remains a public health problem in developing countries and changing environmental and climatic factors pose the biggest challenge in fighting against the scourge of malaria. Therefore, the study was designed to forecast malaria cases using climatic factors as predictors in Delhi, India. Methods. The total number of monthly cases of malaria slide positives occurring from January 2006 to December 2013 was taken from the register maintained at the malaria clinic at Rural Health Training Centre (RHTC), Najafgarh, Delhi. Climatic data of monthly mean rainfall, relative humidity, and mean maximum temperature were taken from Regional Meteorological Centre, Delhi. Expert modeler of SPSS ver. 21 was used for analyzing the time series data. Results. Autoregressive integrated moving average, ARIMA (0,1,1) (0,1,0) 12 , was the best fit model and it could explain 72.5% variability in the time series data. Rainfall (P value = 0.004) and relative humidity (P value = 0.001) were found to be significant predictors for malaria transmission in the study area. Seasonal adjusted factor (SAF) for malaria cases shows peak during the months of August and September. Conclusion. ARIMA models of time series analysis is a simple and reliable tool for producing reliable forecasts for malaria in Delhi, India.
International Journal of Advanced Computer Science and Applications, 2013
Digital synthesis with a goal of chip designing in the commercial electronics arena is packed int... more Digital synthesis with a goal of chip designing in the commercial electronics arena is packed into large EDA Software providers like, Synopsys, Cadence, or MentorGraphics. These commercial tools being expensive and having closed file structures. It is also a financial constraint for the startup companies sometimes who have their budget limitations. Any bug-fixes or add features cannot be made with ease; in such scenario the company is forced to opt for an alternative cost effective EDA software. This paper deals with the advantages of using open source EDA tools like Icarus Verilog, Verilator, GTKwave viewer, GHDL VHDL simulator, gEDA, etc. that are available as a free source and focuses on the Icarus Verilog simulator tool. It can be seen as a big encouragement for startups in Semiconductor domain. Thereby, these open source EDA tools make the design process more cost-effective, less time consuming and affordable as well.
Background Premature mortality from cardiovascular diseases could be prevented by the effective c... more Background Premature mortality from cardiovascular diseases could be prevented by the effective control of hypertension. Nationwide data for the status of hypertension in the adult Greek population are not available.
International Journal of Computer Applications, 2012
Drugs discovery & design is an intense, lengthy and consecutive process that starts with the lead... more Drugs discovery & design is an intense, lengthy and consecutive process that starts with the lead & target discovery followed by lead optimization and pre-clinical in vitro & in vivo studies. This paper throws light on different computational techniques that play a vital role in the drugs discovery & design process. Earlier, computational techniques are use in the field of computer science, electrical engineering and electronics & communication engineering to solve the problems. But, now day's use of these techniques has changed the scenario in drugs discovery. & design from the last two decades. This paper present brief description of different computational techniques such as Particle Swarm Optimization, Ant Colony Optimization, Artificial Neural Network, Fuzzy logic, Genetic Algorithm, Genetic Programming, Evolutionary Programming, Evolutionary Strategy and also provide a tabular comparison of these techniques as well as a list of computational tools/ software.
The prediction of Parkinson's disease in early age has been challenging task among resear... more The prediction of Parkinson's disease in early age has been challenging task among researchers, because the symptoms of disease came into existence in middle and late middle age. There are lots of symptoms that lead to Parkinson's disease. But this article focuses on the speech articulation difficulty symptoms of PD affected people and try to formulate the model on the behalf of three data mining methods. These three data mining methods are taken from three different domains of data mining i.e., from tree classifier, statistical classifier, and support vector machine classifier. Performance of these three classifiers is measured with three performance matrices i.e., accuracy, sensitivity, and specificity. Hence, the main task of this article is tried to find out which model identified the PD affected people more accurately.
The study composed two stage evaluations, a passive observation and a time and motion study. Syst... more The study composed two stage evaluations, a passive observation and a time and motion study. Systemic random sampling method was used to select 863 mothers/caregivers attending the immunization clinic. Results. At the immunization clinic, the study participants spent 64.1% of their total time in waiting. For new cases, the mean time taken for initial registration and receiving postvaccination advice was found to be significantly longer than old cases. Delivering health care services took more time during Mondays and also during the first hour of the day. Conclusion. Results of this study will guide public health decision-makers at all government levels in planning and implementation of immunization programs in developing countries.
Background. Malaria still remains a public health problem in developing countries and changing en... more Background. Malaria still remains a public health problem in developing countries and changing environmental and climatic factors pose the biggest challenge in fighting against the scourge of malaria. Therefore, the study was designed to forecast malaria cases using climatic factors as predictors in Delhi, India. Methods. The total number of monthly cases of malaria slide positives occurring from January 2006 to December 2013 was taken from the register maintained at the malaria clinic at Rural Health Training Centre (RHTC), Najafgarh, Delhi. Climatic data of monthly mean rainfall, relative humidity, and mean maximum temperature were taken from Regional Meteorological Centre, Delhi. Expert modeler of SPSS ver. 21 was used for analyzing the time series data. Results. Autoregressive integrated moving average, ARIMA (0,1,1) (0,1,0) 12 , was the best fit model and it could explain 72.5% variability in the time series data. Rainfall (P value = 0.004) and relative humidity (P value = 0.001) were found to be significant predictors for malaria transmission in the study area. Seasonal adjusted factor (SAF) for malaria cases shows peak during the months of August and September. Conclusion. ARIMA models of time series analysis is a simple and reliable tool for producing reliable forecasts for malaria in Delhi, India.
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Papers by Geeta Yadav