The National Payments Corporation of India (NPCI) NACH platform facilitates high volume inter-bank electronic payments which may be repetitive or periodic in nature. Customers can authenticate NACH mandates in various forms using paper mandates as well as electronic mandates for these kinds of payments.
RAINFALL PREDICTION USING DATA MINING TECHNIQUES - A SURVEYcscpconf
Rainfall is considered as one of the major components of the hydrological process; it takes significant part in evaluating drought and flooding events. Therefore, it is important to have anaccurate model for rainfall prediction. Recently, several data-driven modeling approaches havebeen investigated to perform such forecasting tasks as multilayer perceptron neural networks
(MLP-NN). In fact, the rainfall time series modeling (SARIMA) involvesimportant temporal dimensions. In order to evaluate the incomes of both models, statistical parameters were used to
make the comparison between the two models. These parameters include the Root Mean Square Error RMSE, Mean Absolute Error MAE, Coefficient Of Correlation CC and BIAS. Two-Third of the data was used for training the model and One-third for testing.
The project is developed using android and web. The application provide solution for student bus pass, route pass and bus ticket, route information and scan QR code verification for the bus pass.
The National Payments Corporation of India (NPCI) NACH platform facilitates high volume inter-bank electronic payments which may be repetitive or periodic in nature. Customers can authenticate NACH mandates in various forms using paper mandates as well as electronic mandates for these kinds of payments.
RAINFALL PREDICTION USING DATA MINING TECHNIQUES - A SURVEYcscpconf
Rainfall is considered as one of the major components of the hydrological process; it takes significant part in evaluating drought and flooding events. Therefore, it is important to have anaccurate model for rainfall prediction. Recently, several data-driven modeling approaches havebeen investigated to perform such forecasting tasks as multilayer perceptron neural networks
(MLP-NN). In fact, the rainfall time series modeling (SARIMA) involvesimportant temporal dimensions. In order to evaluate the incomes of both models, statistical parameters were used to
make the comparison between the two models. These parameters include the Root Mean Square Error RMSE, Mean Absolute Error MAE, Coefficient Of Correlation CC and BIAS. Two-Third of the data was used for training the model and One-third for testing.
The project is developed using android and web. The application provide solution for student bus pass, route pass and bus ticket, route information and scan QR code verification for the bus pass.
(10 진흥-나-18) 건축물내-이동통신구내선로설비_공동구축_및_공동사용_활성화를_위한_법제화_방안_연구활 김
건축물내 이동통신구내선로설비 공동구축 및
공동사용활성화를위한법제화방안연구
(A Study on the regulation for the facilitation of site sharing and co-deployment of in-building wireless communication systems)
2010. 12. 31.
연 구 기 관 : (사)한국통신사업자연합회
(10 진흥-나-18) 건축물내-이동통신구내선로설비_공동구축_및_공동사용_활성화를_위한_법제화_방안_연구활 김
건축물내 이동통신구내선로설비 공동구축 및
공동사용활성화를위한법제화방안연구
(A Study on the regulation for the facilitation of site sharing and co-deployment of in-building wireless communication systems)
2010. 12. 31.
연 구 기 관 : (사)한국통신사업자연합회