We have synthesized mannich base cyclohexanone using microwave irradiation method,and studied their pharma-cological activity.Based on analytical and spectral(IR,NMR and Mass) data,a number of mono as well as double m...We have synthesized mannich base cyclohexanone using microwave irradiation method,and studied their pharma-cological activity.Based on analytical and spectral(IR,NMR and Mass) data,a number of mono as well as double mannich base cyclohexanones have been synthesized from primary and secondary amines and formaldehyde,and then purified and characterized. The required 3-aryl-2,4-diacetyl-5-hydroxy-5-methylcyclohexanone was prepared from appropriate aldehyde and acetylacetone. The synthesized compounds were screened for analgesic activity via standard approaches,and they have shown positive analgesic activity.展开更多
In this study, an effort is made to find the attributes of an electron based on Maharishi Vyasa’s definition of kshana or moment. Kshana or moment is a very small quanta of time defined by Maharishi Vyasa. It is the ...In this study, an effort is made to find the attributes of an electron based on Maharishi Vyasa’s definition of kshana or moment. Kshana or moment is a very small quanta of time defined by Maharishi Vyasa. It is the time taken by an elementary particle to change the direction from east to north. It is found that the value of a kshana in the case of pair production is approximately 2 × 10<sup>-21</sup> sec, and the radius of the spinning electron or positron is equal to the reduced Compton wavelength. The mass of the electron is equal to the codata recommended value of electron mass and time required in pair production is about four kshanas equal to spinning period of an electron. During validation, in case of the photoelectric effect, spectral series of hydrogen atoms, Compton scattering, and the statistical concept of motion of electron, the value of the number of kshanas in a second is the same as that found in pair production.展开更多
The sugar cane containing minimum 30% fiber was referred as bagasse and used the generation of power required for the operation of sugar mill. The bagasse is fired in the boiler for producing steam at high pressure, w...The sugar cane containing minimum 30% fiber was referred as bagasse and used the generation of power required for the operation of sugar mill. The bagasse is fired in the boiler for producing steam at high pressure, which is extracted through various single high capacity turbines and used in the process. The installation of high pressure boilers and high pressure turbo-generators has provision for the operation of co-generation plant during the off-season also that enhances the power generation from 9MW to 23MW. The annual monetary benefits achieved are Rs. 204.13 million and this was based on cost of power sold to the grid @ Rs 2.548 per unit, sugar season of 219 days and off season of 52 days. This required an investment of Rs 820.6 million. The investment had an attractive simple payback period of 48 months.展开更多
The frequency of any periodic event can be defined in terms of units of Time. Planck constructed a unit of time called the Plank time from other physical constants. Vyasa defined a natural unit of time, kshana, or mom...The frequency of any periodic event can be defined in terms of units of Time. Planck constructed a unit of time called the Plank time from other physical constants. Vyasa defined a natural unit of time, kshana, or moment based on the motion of a fundamental particle. It is the time taken by an elementary particle, to change its direction from east to north. According to Vyasa, kshana is discrete, exceedingly small, indivisible, and is a constant time quantum. When the intrinsic spin angular momentum of an electron was related to the angular momentum of a simple thin circular plate, spherical shell, and solid sphere model of an electron, we found that the value of kshana in seconds was equal to ten to a power of minus twenty-one second. The disc model for the spinning electron provides an accurate value of the number of kshanas per second as determined previously and compared with other spinning models of electrons. These results indicate that the disk-like model of spinning electrons is the correct model for electrons. Vyasa’s definition of kshana opens the possibility of a new foundation for the theory of physical time, and perspectives in theoretical and philosophical research.展开更多
Computer vision is a consistent and advanced technique for image processing,with the propitious outcome,and enormous potential.A computer vision has been strongly adopted in the heterogeneous domain including agricult...Computer vision is a consistent and advanced technique for image processing,with the propitious outcome,and enormous potential.A computer vision has been strongly adopted in the heterogeneous domain including agriculture.During the study of existing research on the role of computer vision in fruits and vegetables among various horticulture products of agriculture fields it is noticed that,the existing survey paper has not focused properly on mathematical framework,feature descriptor,defect detection on multiple datasets of fruits and vegetables elaborately.This has motivated us to undertake an extensive survey.In this paper,we examine the paper broadly related to fruits and vegetables among various horticulture products of agriculture fields,specific model,data pre-processing,data analysis method and overall value of performance accuracy by using a particular performance metric.Moreover,we study the different type of disease present in various fruit and vegetable.We have also focused on the comparison of different machine learning approach with respect to different performance metrics on the same dataset.Thus,we have found that among all existing machine learning techniques SVM give better classification accuracy.A generalized framework to grade the quality and defect detection of multiple fruits and vegetables is also proposed in this survey.This paper covers the survey of ninety-eight papers closely related to computer vision in the agricultural field.By the survey,we have found that computer vision plays an important role and has a large potential to address the challenges related to the agricultural fields.展开更多
Purpose-Breast cancer is one of the most common malignant tumors in women,which badly have an effect on women’s physical and psychological health and even danger to life.Nowadays,mammography is considered as a fundam...Purpose-Breast cancer is one of the most common malignant tumors in women,which badly have an effect on women’s physical and psychological health and even danger to life.Nowadays,mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer.Though,due to the intricate formation of mammogram images,it is reasonably hard for practitioners to spot breast cancer features.Design/methodology/approach-Breast cancer is one of the most common malignant tumors in women,which badly have an effect on women’s physical and psychological health and even danger to life.Nowadays,mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer.Though,due to the intricate formation of mammogram images,it is reasonably hard for practitioners to spot breast cancer features.Findings-The performance analysis was done for both segmentation and classification.From the analysis,the accuracy of the proposed IAP-CSA-based fuzzy was 41.9%improved than the fuzzy classifier,2.80%improved than PSO,WOA,and CSA,and 2.32%improved than GWO-based fuzzy classifiers.Additionally,the accuracy of the developed IAP-CSA-fuzzy was 9.54%better than NN,35.8%better than SVM,and 41.9%better than the existing fuzzy classifier.Hence,it is concluded that the implemented breast cancer detection model was efficient in determining the normal,benign and malignant images.Originality/value-This paper adopts the latest Improved Awareness Probability-based Crow Search Algorithm(IAP-CSA)-based Region growing and fuzzy classifier for enhancing the breast cancer detection of mammogram images,and this is the first work that utilizes this method.展开更多
文摘We have synthesized mannich base cyclohexanone using microwave irradiation method,and studied their pharma-cological activity.Based on analytical and spectral(IR,NMR and Mass) data,a number of mono as well as double mannich base cyclohexanones have been synthesized from primary and secondary amines and formaldehyde,and then purified and characterized. The required 3-aryl-2,4-diacetyl-5-hydroxy-5-methylcyclohexanone was prepared from appropriate aldehyde and acetylacetone. The synthesized compounds were screened for analgesic activity via standard approaches,and they have shown positive analgesic activity.
文摘In this study, an effort is made to find the attributes of an electron based on Maharishi Vyasa’s definition of kshana or moment. Kshana or moment is a very small quanta of time defined by Maharishi Vyasa. It is the time taken by an elementary particle to change the direction from east to north. It is found that the value of a kshana in the case of pair production is approximately 2 × 10<sup>-21</sup> sec, and the radius of the spinning electron or positron is equal to the reduced Compton wavelength. The mass of the electron is equal to the codata recommended value of electron mass and time required in pair production is about four kshanas equal to spinning period of an electron. During validation, in case of the photoelectric effect, spectral series of hydrogen atoms, Compton scattering, and the statistical concept of motion of electron, the value of the number of kshanas in a second is the same as that found in pair production.
文摘The sugar cane containing minimum 30% fiber was referred as bagasse and used the generation of power required for the operation of sugar mill. The bagasse is fired in the boiler for producing steam at high pressure, which is extracted through various single high capacity turbines and used in the process. The installation of high pressure boilers and high pressure turbo-generators has provision for the operation of co-generation plant during the off-season also that enhances the power generation from 9MW to 23MW. The annual monetary benefits achieved are Rs. 204.13 million and this was based on cost of power sold to the grid @ Rs 2.548 per unit, sugar season of 219 days and off season of 52 days. This required an investment of Rs 820.6 million. The investment had an attractive simple payback period of 48 months.
文摘The frequency of any periodic event can be defined in terms of units of Time. Planck constructed a unit of time called the Plank time from other physical constants. Vyasa defined a natural unit of time, kshana, or moment based on the motion of a fundamental particle. It is the time taken by an elementary particle, to change its direction from east to north. According to Vyasa, kshana is discrete, exceedingly small, indivisible, and is a constant time quantum. When the intrinsic spin angular momentum of an electron was related to the angular momentum of a simple thin circular plate, spherical shell, and solid sphere model of an electron, we found that the value of kshana in seconds was equal to ten to a power of minus twenty-one second. The disc model for the spinning electron provides an accurate value of the number of kshanas per second as determined previously and compared with other spinning models of electrons. These results indicate that the disk-like model of spinning electrons is the correct model for electrons. Vyasa’s definition of kshana opens the possibility of a new foundation for the theory of physical time, and perspectives in theoretical and philosophical research.
文摘Computer vision is a consistent and advanced technique for image processing,with the propitious outcome,and enormous potential.A computer vision has been strongly adopted in the heterogeneous domain including agriculture.During the study of existing research on the role of computer vision in fruits and vegetables among various horticulture products of agriculture fields it is noticed that,the existing survey paper has not focused properly on mathematical framework,feature descriptor,defect detection on multiple datasets of fruits and vegetables elaborately.This has motivated us to undertake an extensive survey.In this paper,we examine the paper broadly related to fruits and vegetables among various horticulture products of agriculture fields,specific model,data pre-processing,data analysis method and overall value of performance accuracy by using a particular performance metric.Moreover,we study the different type of disease present in various fruit and vegetable.We have also focused on the comparison of different machine learning approach with respect to different performance metrics on the same dataset.Thus,we have found that among all existing machine learning techniques SVM give better classification accuracy.A generalized framework to grade the quality and defect detection of multiple fruits and vegetables is also proposed in this survey.This paper covers the survey of ninety-eight papers closely related to computer vision in the agricultural field.By the survey,we have found that computer vision plays an important role and has a large potential to address the challenges related to the agricultural fields.
文摘Purpose-Breast cancer is one of the most common malignant tumors in women,which badly have an effect on women’s physical and psychological health and even danger to life.Nowadays,mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer.Though,due to the intricate formation of mammogram images,it is reasonably hard for practitioners to spot breast cancer features.Design/methodology/approach-Breast cancer is one of the most common malignant tumors in women,which badly have an effect on women’s physical and psychological health and even danger to life.Nowadays,mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer.Though,due to the intricate formation of mammogram images,it is reasonably hard for practitioners to spot breast cancer features.Findings-The performance analysis was done for both segmentation and classification.From the analysis,the accuracy of the proposed IAP-CSA-based fuzzy was 41.9%improved than the fuzzy classifier,2.80%improved than PSO,WOA,and CSA,and 2.32%improved than GWO-based fuzzy classifiers.Additionally,the accuracy of the developed IAP-CSA-fuzzy was 9.54%better than NN,35.8%better than SVM,and 41.9%better than the existing fuzzy classifier.Hence,it is concluded that the implemented breast cancer detection model was efficient in determining the normal,benign and malignant images.Originality/value-This paper adopts the latest Improved Awareness Probability-based Crow Search Algorithm(IAP-CSA)-based Region growing and fuzzy classifier for enhancing the breast cancer detection of mammogram images,and this is the first work that utilizes this method.
