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
The Mw 7.8 Gorkha earthquake in Nepal on April 25, 2015, produced thousands of landslides in the Himalayan mountain range. After the earthquake, two field investigations along Araniko Highway were conducted. Then, usi...The Mw 7.8 Gorkha earthquake in Nepal on April 25, 2015, produced thousands of landslides in the Himalayan mountain range. After the earthquake, two field investigations along Araniko Highway were conducted. Then, using remote sensing technology and geographic information system(GIS)technology, 1481 landslides were identified along the Bhote Koshi river. Correlations between the spatial distribution of landslides with slope gradient and lithology were analyzed. The power-law relationship of the size distribution of earthquake-induced landslides was examined in both the Higher Himalaya and Lesser Himalaya. Possible reasons for the variability of the power exponent were explored by examining differences in the geological situations of these areas. Multi-threshold cellular automata were introduced to model the complexity of system components. Most of the landslides occurred at slope gradients of 30°–40°, and the landslide density was positively correlated with slope gradient. Landslides in hard rock areas were more common than in soft rock areas. The cumulative number-area distribution of landslides induced by the Gorkha earthquake exhibited a negative power-law relationship, but the power exponents were different: 1.13 in the Higher Himalaya, 1.36 and Lesser Himalaya. Furthermore,the geological conditions were more complex and varied in the Lesser Himalaya than in the Higher Himalaya, and the cellular automata simulation results indicated that, as the complexity of system components increased, the power exponent increased.Therefore, the variability of the power exponent of landslide size distribution should ascribe to the complexity of geological situations in the Bhote Koshi river watershed.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.
基金supported by the National Natural Science Foundation of China (Grant No. 41571004)National Program on Key Research Project of China (Grant No. 2016YFC0802206)+1 种基金Key Laboratory Foundation of Mountain Hazards and Earth Surface Processes, Chinese Academy of Sciences (Grant No. KLMHESP-17-03)the Fundamental Research Funds for the Central Universities of China (Grant No. 2682016CX003)
文摘The Mw 7.8 Gorkha earthquake in Nepal on April 25, 2015, produced thousands of landslides in the Himalayan mountain range. After the earthquake, two field investigations along Araniko Highway were conducted. Then, using remote sensing technology and geographic information system(GIS)technology, 1481 landslides were identified along the Bhote Koshi river. Correlations between the spatial distribution of landslides with slope gradient and lithology were analyzed. The power-law relationship of the size distribution of earthquake-induced landslides was examined in both the Higher Himalaya and Lesser Himalaya. Possible reasons for the variability of the power exponent were explored by examining differences in the geological situations of these areas. Multi-threshold cellular automata were introduced to model the complexity of system components. Most of the landslides occurred at slope gradients of 30°–40°, and the landslide density was positively correlated with slope gradient. Landslides in hard rock areas were more common than in soft rock areas. The cumulative number-area distribution of landslides induced by the Gorkha earthquake exhibited a negative power-law relationship, but the power exponents were different: 1.13 in the Higher Himalaya, 1.36 and Lesser Himalaya. Furthermore,the geological conditions were more complex and varied in the Lesser Himalaya than in the Higher Himalaya, and the cellular automata simulation results indicated that, as the complexity of system components increased, the power exponent increased.Therefore, the variability of the power exponent of landslide size distribution should ascribe to the complexity of geological situations in the Bhote Koshi river watershed.
