By Zhang Dong, Zhou Ya-Fei (auth.), Dehuai Zeng (eds.)
With good fortune of ICEEE 2010 in Wuhan, China, and December four to five, 2010, the second one foreign convention of electric and Electronics Engineering (ICEEE 2011) could be held in Macau, China, and December 1 to two, 2011. ICEEE is an annual convention to name jointly researchers, engineers, academicians in addition to business pros from worldwide to provide their study effects and improvement actions in electric and Electronics Engineering besides computing device technological know-how and expertise, conversation expertise, synthetic Intelligence, info expertise, etc.
This yr ICEEE is subsidized through overseas commercial Electronics middle, Hong Kong. And according to the deserved popularity, greater than 750 papers were submitted to ICEEE 2011, from which ninety two top of the range unique papers were chosen for the convention presentation and inclusion within the “Future details know-how and machine Engineering” publication in accordance with the referees’ reviews from peer-refereed.
We anticipate that the long run info expertise and machine Engineering publication might be a set off for additional comparable examine and know-how advancements within the value topic together with Database administration, info expertise and procedure, Computing Methodologies, desktops association, machine software, etc.
We anticipate that the long run info know-how and laptop Engineering ebook can be a set off for extra similar examine and expertise advancements within the value topic together with Database administration, info know-how and method, Computing Methodologies, desktops association, computing device software, etc.
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Extra resources for Advances in Control and Communication
3, we can see that almost similar enhancement in visual effects are obtained based on the fuzzy entropy definition of (1) and . And the key parameters Fd based on them in Table 1 is subequal for lena and template, but equal for softimage couple which maximum of gray level is 238. Hence, almost the same enhancement results can be acquired using the fuzzy entropy definition of (1) and . From the view of processing time in Table 2, the entropy definition of (1) is fast than that of . The reason is that exponent arithmetic is faster than logaritmim for computer as pointed out in part IV.
Then the SWOCRL rules and service processes descriptions in OWL-S ontology are translated into CHR based on the CHR constraints generated in the first step. All these CHR rules are loaded into some Prolog environment supports CHR; CHR constraints are then added into CHR constraint store. The execution of CHR rules will get a derived knowledge base. A special CHR rule will be composed based on the goal part of service request and loaded into knowledge base. Then inputs are added into knowledge base until the goal state is reached and execution ends.
In our works, all of the related Semantic Web services will be described. The resolving Question Answering via Semantic Web Service Composition 37 process and the result will be more complex. So, the question in WQA system and the Semantic Web services revoking are corresponding to the problem domain and the planning domain of HTN. We can accomplish the Semantic Web service dynamic composition by using SHOP2. Then we will get the solution of user’s question which is put forward in WQA system. 5 Conclusion and Future Work We have described a framework, which is combined by the WQA system and the Semantic Web service composition, supported by HTN and NLP.