We investigate highly sophisticated mechanisms that merge and automate interoperability of heterogeneous traditional information systems together with the World Wide Web as one world. In particular, we introduce the A...We investigate highly sophisticated mechanisms that merge and automate interoperability of heterogeneous traditional information systems together with the World Wide Web as one world. In particular, we introduce the ABB system that employs most of the Benevolent Builders (BB) which are assertions, integration rules, ABB network graph and agents to activate the components’ versatility to reconcile the semantics involved in data sharing in order to withstand the terrific dynamic computer technology in the present and future information age. The ABB is a global application system with its operation covering local databases to the Internet. The first three BB are passive objects, whereas, the agent has a strong versatility to perceive events, perform actions, communicate, make commitments, and satisfy claims. Due to the BB’s power of intelligence, ABB also has the capability to filter out and process only the relevant operational sources like preferences (i.e. customer’s interest) from the sites. The ABB’s richness in knowledge and flexibility to accommodate various data models, manages to link: system to system or firm to firm regardless of the field such as: engineering, insurance, medical, space science, and education, to mention a few.展开更多
A novel approach is proposed to automatically detect pomographic images with skin-like color background on the Intemet using the locations of human faces and bodies. It has two separate skin-color detection steps： th...A novel approach is proposed to automatically detect pomographic images with skin-like color background on the Intemet using the locations of human faces and bodies. It has two separate skin-color detection steps： the first one is to quickly detect the potential human skin-color regions; and the second one is to use an off-the-shelf face detector to locate a human face and then apply hypothesis testing based on series of assumptions which take into account the face-height ratio, body orientation and modem photograph composition common sense, etc. After that, a template matching method is used to further discriminate normal images or pornographic ones. Experimental results show that the proposed method has high precision and real time speed.展开更多
文摘We investigate highly sophisticated mechanisms that merge and automate interoperability of heterogeneous traditional information systems together with the World Wide Web as one world. In particular, we introduce the ABB system that employs most of the Benevolent Builders (BB) which are assertions, integration rules, ABB network graph and agents to activate the components’ versatility to reconcile the semantics involved in data sharing in order to withstand the terrific dynamic computer technology in the present and future information age. The ABB is a global application system with its operation covering local databases to the Internet. The first three BB are passive objects, whereas, the agent has a strong versatility to perceive events, perform actions, communicate, make commitments, and satisfy claims. Due to the BB’s power of intelligence, ABB also has the capability to filter out and process only the relevant operational sources like preferences (i.e. customer’s interest) from the sites. The ABB’s richness in knowledge and flexibility to accommodate various data models, manages to link: system to system or firm to firm regardless of the field such as: engineering, insurance, medical, space science, and education, to mention a few.
文摘A novel approach is proposed to automatically detect pomographic images with skin-like color background on the Intemet using the locations of human faces and bodies. It has two separate skin-color detection steps： the first one is to quickly detect the potential human skin-color regions; and the second one is to use an off-the-shelf face detector to locate a human face and then apply hypothesis testing based on series of assumptions which take into account the face-height ratio, body orientation and modem photograph composition common sense, etc. After that, a template matching method is used to further discriminate normal images or pornographic ones. Experimental results show that the proposed method has high precision and real time speed.
