Irrigation water management has significant economic implications in developing countries like Malaysia. As in many countries, Malaysia is also espousing internet as a platform of new possibilities for information acc...Irrigation water management has significant economic implications in developing countries like Malaysia. As in many countries, Malaysia is also espousing internet as a platform of new possibilities for information access and sharing. Thus web based decision tools are pertinent in managing water, which is becoming a source of conflict between domestic, industry and agricultural use in this emerging technological and information age. Decision Support System （DSS） created in the past was theoretically acceptable but practically not effective in the transfer of scientific knowledge from research labs to the end-users to support them in decision making. The Web Based Paddy Irrigation Productivity Assessment （WebPIPA） is an example of DSS created to provide an effective conduit for the transfer of scientific knowledge from research labs to the end-users to support them in decision making. WebPIPA serves as an innovative, user friendly and efficient management tool for run-of-river rice irrigation system. It is a web based program that requires users to login through user name and password WebPIPA is developed using Net framework and ASP. Net Programming Languages of Microsoft. Net 2003 environment. A 3-tier architecture framework was carefully studied and was implemented to create the WebP1PA model. Mathematical model developed for aiding irrigation decisions must be oriented towards addressing various issues in addition to the scientific ones for better acceptability. All government and private agencies, researchers, station users, farmers, investors and buyers related to this study area will be able to access and share the database through the internet. By strengthening the involvement of government departments, the database can be very effectively used by all stakeholders at the same time narrowing the gap between the urban and rural communities in the development of country.展开更多
This paper analyzes the C/S structure and B/S structure of their own characteristics, building energy decision support system based on network technology, elaborated Web GIS and database connections and other technica...This paper analyzes the C/S structure and B/S structure of their own characteristics, building energy decision support system based on network technology, elaborated Web GIS and database connections and other technical principles and applications. Mixed B/S structure mode development to achieve information management, energy consumption is forecast to show the query using the amomat of energy, energy supply and demand dynamic equilibrimn analysis and other functions, with simple, efficient, easy to operate and so on, and has good scalability and maintainability.展开更多
Breast cancer is the leading cause of cancer-related death for women in Tunisia and the prognosis of its metastasis remains a major problem for oncologists despite advances in treatment. In this work we use Bayesian n...Breast cancer is the leading cause of cancer-related death for women in Tunisia and the prognosis of its metastasis remains a major problem for oncologists despite advances in treatment. In this work we use Bayesian networks to develop a decision support system that is based on the modeling of relationships between key signaling proteins and clinical and pathological characteristics of breast tumors and patients. Motivated by the lack of prior information on the parameters of the problem, we use the Implicit inference for the structure and parameter learning. A dataset of 84 Tunisian breast cancer patients was used and new prognosis factors were identified. The system predicts a metastasis risk for different patients by computing a score that is the joint probability of the Bayesian network using parameters estimated on the learning database. Based on the results of the developed system we identified that overexpression of ErbB2, ErbB3, bcl2 as well as of oestrogen and progesterone receptors associated with a low level of ErbB4 was the predominant profile associated with high risk of metastasis.展开更多
文摘Irrigation water management has significant economic implications in developing countries like Malaysia. As in many countries, Malaysia is also espousing internet as a platform of new possibilities for information access and sharing. Thus web based decision tools are pertinent in managing water, which is becoming a source of conflict between domestic, industry and agricultural use in this emerging technological and information age. Decision Support System （DSS） created in the past was theoretically acceptable but practically not effective in the transfer of scientific knowledge from research labs to the end-users to support them in decision making. The Web Based Paddy Irrigation Productivity Assessment （WebPIPA） is an example of DSS created to provide an effective conduit for the transfer of scientific knowledge from research labs to the end-users to support them in decision making. WebPIPA serves as an innovative, user friendly and efficient management tool for run-of-river rice irrigation system. It is a web based program that requires users to login through user name and password WebPIPA is developed using Net framework and ASP. Net Programming Languages of Microsoft. Net 2003 environment. A 3-tier architecture framework was carefully studied and was implemented to create the WebP1PA model. Mathematical model developed for aiding irrigation decisions must be oriented towards addressing various issues in addition to the scientific ones for better acceptability. All government and private agencies, researchers, station users, farmers, investors and buyers related to this study area will be able to access and share the database through the internet. By strengthening the involvement of government departments, the database can be very effectively used by all stakeholders at the same time narrowing the gap between the urban and rural communities in the development of country.
文摘This paper analyzes the C/S structure and B/S structure of their own characteristics, building energy decision support system based on network technology, elaborated Web GIS and database connections and other technical principles and applications. Mixed B/S structure mode development to achieve information management, energy consumption is forecast to show the query using the amomat of energy, energy supply and demand dynamic equilibrimn analysis and other functions, with simple, efficient, easy to operate and so on, and has good scalability and maintainability.
文摘Breast cancer is the leading cause of cancer-related death for women in Tunisia and the prognosis of its metastasis remains a major problem for oncologists despite advances in treatment. In this work we use Bayesian networks to develop a decision support system that is based on the modeling of relationships between key signaling proteins and clinical and pathological characteristics of breast tumors and patients. Motivated by the lack of prior information on the parameters of the problem, we use the Implicit inference for the structure and parameter learning. A dataset of 84 Tunisian breast cancer patients was used and new prognosis factors were identified. The system predicts a metastasis risk for different patients by computing a score that is the joint probability of the Bayesian network using parameters estimated on the learning database. Based on the results of the developed system we identified that overexpression of ErbB2, ErbB3, bcl2 as well as of oestrogen and progesterone receptors associated with a low level of ErbB4 was the predominant profile associated with high risk of metastasis.
