We investigated the application of Causal Bayesian Networks (CBNs) to large data sets in order to predict user intent via internet search prediction. Here, sample data are taken from search engine logs (Excite, Altavi...We investigated the application of Causal Bayesian Networks (CBNs) to large data sets in order to predict user intent via internet search prediction. Here, sample data are taken from search engine logs (Excite, Altavista, and Alltheweb). These logs are parsed and sorted in order to create a data structure that was used to build a CBN. This network is used to predict the next term or terms that the user may be about to search (type). We looked at the application of CBNs, compared with Naive Bays and Bays Net classifiers on very large datasets. To simulate our proposed results, we took a small sample of search data logs to predict intentional query typing. Additionally, problems that arise with the use of such a data structure are addressed individually along with the solutions used and their prediction accuracy and sensitivity.展开更多
According to the requirement of computer forensic and network forensic, a novel forensic computing model is presented, which exploits XML/OEM/RM data model, Data fusion technology, forensic knowledgebase, inference me...According to the requirement of computer forensic and network forensic, a novel forensic computing model is presented, which exploits XML/OEM/RM data model, Data fusion technology, forensic knowledgebase, inference mechanism of expert system and evidence mining engine. This model takes advantage of flexility and openness, so it can be widely used in mining evidence.展开更多
The expert system is a high-level technology.It is a sub-field of artificial intelligence.We demonstrated the character and software evaluation,carrying out an initial study of expert system.A good development expert ...The expert system is a high-level technology.It is a sub-field of artificial intelligence.We demonstrated the character and software evaluation,carrying out an initial study of expert system.A good development expert system was developed.展开更多
Abnormal heating of composite insulators is a hidden threat to safe operation of transmission lines.Although moisture is considered the key factor leading to temperature rise in high humidity areas,specific position a...Abnormal heating of composite insulators is a hidden threat to safe operation of transmission lines.Although moisture is considered the key factor leading to temperature rise in high humidity areas,specific position and diffusion path of moisture are unclear for newly-installed composite insulators.In this paper,microstructure analysis and moisture absorption tests are first conducted to find the specific position of the moisture.Also,an accelerated water penetration test is used to demonstrate influence of moisture on the temperature rise.Former experiments find that moisture is concentrated at voids near the interface and surface of the Aluminum hydroxide(ATH)particles in housing material.For newly-installed composite insulators,moisture could spread to voids through failed fitting sealing and interface bonding,however,permeation through the housing is invalid.Later tests find that moisture at the surface of ATH could increase temperature at the high-voltage end and moisture in the void could lead to an additional heating area outside the high-voltage end.Temperature rise of additional heating area is dependent on length of the unbonded interface next to fitting.According to results of finite element simulation,the additional heating area is caused by increase of electric field strength at both ends of the moisture area.The additional heating area outside the high-voltage end could be used as a feature of sealing and the bonding defect of newly-installed composite insulators.展开更多
文摘We investigated the application of Causal Bayesian Networks (CBNs) to large data sets in order to predict user intent via internet search prediction. Here, sample data are taken from search engine logs (Excite, Altavista, and Alltheweb). These logs are parsed and sorted in order to create a data structure that was used to build a CBN. This network is used to predict the next term or terms that the user may be about to search (type). We looked at the application of CBNs, compared with Naive Bays and Bays Net classifiers on very large datasets. To simulate our proposed results, we took a small sample of search data logs to predict intentional query typing. Additionally, problems that arise with the use of such a data structure are addressed individually along with the solutions used and their prediction accuracy and sensitivity.
基金Supported by the Scientific and TechnologicalBureau of the Ministry of Public Security of P.R.China ,the Projectof the Network Supervising Bureau(2005yycxhbst117) the Project ofthe 15th Overall Plan of Education Department of Hubei Province(2004d349) the Project of the 15th Overall Plan of Social ScienceFund of Hubei Province([2005]073)
文摘According to the requirement of computer forensic and network forensic, a novel forensic computing model is presented, which exploits XML/OEM/RM data model, Data fusion technology, forensic knowledgebase, inference mechanism of expert system and evidence mining engine. This model takes advantage of flexility and openness, so it can be widely used in mining evidence.
文摘The expert system is a high-level technology.It is a sub-field of artificial intelligence.We demonstrated the character and software evaluation,carrying out an initial study of expert system.A good development expert system was developed.
基金supported in part by the National Natural Science Foundation of China(No.52077013)Science and Technology Project of Electric Power Research Institute of China Southern Power Grid Co.(No.066600KK52190015 and 1500002020030101JC00074).
文摘Abnormal heating of composite insulators is a hidden threat to safe operation of transmission lines.Although moisture is considered the key factor leading to temperature rise in high humidity areas,specific position and diffusion path of moisture are unclear for newly-installed composite insulators.In this paper,microstructure analysis and moisture absorption tests are first conducted to find the specific position of the moisture.Also,an accelerated water penetration test is used to demonstrate influence of moisture on the temperature rise.Former experiments find that moisture is concentrated at voids near the interface and surface of the Aluminum hydroxide(ATH)particles in housing material.For newly-installed composite insulators,moisture could spread to voids through failed fitting sealing and interface bonding,however,permeation through the housing is invalid.Later tests find that moisture at the surface of ATH could increase temperature at the high-voltage end and moisture in the void could lead to an additional heating area outside the high-voltage end.Temperature rise of additional heating area is dependent on length of the unbonded interface next to fitting.According to results of finite element simulation,the additional heating area is caused by increase of electric field strength at both ends of the moisture area.The additional heating area outside the high-voltage end could be used as a feature of sealing and the bonding defect of newly-installed composite insulators.
