Aiming at the selection of knowledge meshes in the self-reconfiguration of knowledgeable manufacturing system,the method of fuzzy classification and searching for knowledge meshes based on information granular is ***,...
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Aiming at the selection of knowledge meshes in the self-reconfiguration of knowledgeable manufacturing system,the method of fuzzy classification and searching for knowledge meshes based on information granular is ***,the matching degree,perfect degree and complexity coefficient between knowledge meshes are defined considering three aspects of quality,quantity and *** similarity function is further defined and some conclusions about it are ***, the knowledge meshes in the knowledge mesh database are analyzed by fuzzy *** center of clustering and numbers of categories are *** search space is determined by centering on the clustering *** is thus realized that the problem is converted from fine-grained space to coarse-grained ***,the example shows that the method is effective.
A novel approach to analyze timing properties of realtime embedded systems based on the model-driven architecture is proposed in this *** scheduling model which describes components of software and hardware as well as...
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A novel approach to analyze timing properties of realtime embedded systems based on the model-driven architecture is proposed in this *** scheduling model which describes components of software and hardware as well as the interacting and binding relations of components is abstracted from an AADL *** task deadline at the component lever and the end-toend latency at the system lever are analyzed by specifying the scheduling model with the satisfiability modulo *** analysis tool is developed to work with the AADL developing environment to analyze the timing properties of the AADL *** experiment results demonstrate the running performance of the proposed approach.
Data holders need to share the alerts data that they detected for correlation and analysis *** such cases, privacy issues turn out to be a major *** paper proposes a model to correlate and analyze intrusion alerts wit...
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Data holders need to share the alerts data that they detected for correlation and analysis *** such cases, privacy issues turn out to be a major *** paper proposes a model to correlate and analyze intrusion alerts with privacy-preserving *** raw intrusion alerts are protected by improved k-anonymity method,which preserves the alert regulation inside disturbed data *** this privacy preserving method with typical FP-tree frequent pattern mining approach and WINEPI sequence pattern mining algorithm,an alert correlation model is set up to well balance the alert correlation and the privacy *** results show that this model reaches close similarity of correlation and analysis result comparing with original FP-tree and WINEPI algorithm,while sensitive attributes are well preserved.
The connectives are essentially the logical operations on propositions,two valued logic system is homomorphic with the Boolean algebra ,so all connectives may be defined by the truth value functions on {0,1}.In probab...
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The connectives are essentially the logical operations on propositions,two valued logic system is homomorphic with the Boolean algebra <{0,l},┐,∨,∧>,so all connectives may be defined by the truth value functions on {0,1}.In probabilistic logic,any function on[0,1]isn't true of all propositions because of propositional meanings.A probabilistic logic system is the logical description of a probabilistic space,the event domain in a probabilistic space is a set algebra,and probabilistic logic system is a Boolean algebra homomorphic with set *** connectives can be defined exactly by set functions on event domain instead of the truth value functions on[0,1].The classical formal system of propositional calculus is applicable to probabilistic propositions completely.
Computer assisted diagnosis has been widely used in practice with the fast development of medical *** a key technique,medical image processing plays an essential role in computer assisted ***,most pattern discovering ...
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Computer assisted diagnosis has been widely used in practice with the fast development of medical *** a key technique,medical image processing plays an essential role in computer assisted ***,most pattern discovering methods focus on human structure images as CT,MRT while very little work has been done in *** this paper,we proposed a set of simple statistical operations to detect accompanying pattern in *** samples of different tissues are compared from both spatial distribution and growing direction to check if they fit in the same *** main purpose of this research is to help cancer expert analyze the cause of *** breast cancer as experimental case,our results illustrated the accompanying pattern between blood vessels and dead cells.
A new 3D model retrieval approach is proposed by using multi-instance to understand 3D models,while each object in a 3D model is called *** visually connected components are not geometrically connected,we present a tw...
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A new 3D model retrieval approach is proposed by using multi-instance to understand 3D models,while each object in a 3D model is called *** visually connected components are not geometrically connected,we present a twostage multi-instance generation *** first stage is to compute connected components from a mesh *** second stage is to merge connected components by testing intersections among their axis-aligned bounding *** then shape descriptor is extracted for each instance and the similarity between 3D models is measured by means of instances' shape *** results show that our method has better performance than the traditional 3D model retrieval approach.
Tabu search algorithm has been applied to solve the optimal load distribution strategy problem for the cooling system constituted by multiple chiller water units,which has the characteristic such as complexity,constra...
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Tabu search algorithm has been applied to solve the optimal load distribution strategy problem for the cooling system constituted by multiple chiller water units,which has the characteristic such as complexity,constraint,nonlinearity, modeling difficulty,*** tabu search algorithms based on the neighborhood search can avoid the local optimization avoidance and has the artificial intelligence memory *** this paper,two chiller water units connected in parallel working using the tabu algorithm was *** with the conventional method,the results indicated that the tabu search algorithms has much less power consumption and is very suitable for application in air condition system operation.
The Chinese text in natural scene images which are transmitted in mobile communication network usually contains various and important ***,capturing Chinese text in these images can analyze the content of these images,...
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The Chinese text in natural scene images which are transmitted in mobile communication network usually contains various and important ***,capturing Chinese text in these images can analyze the content of these images,and improve the commercial value and security of our *** paper proposes an efficient and effective method to capture the Chinese text in images which were taken by mobile phone in natural *** detection and the location of the target text are achieved by AdaBoost,which can eliminate background noise;the SIFT feature,which is proper to the characteristics of Chinese text in image,is applied to capture the content of the located *** method has a good practical application *** the lack of experimental samples,further research is needed to improve.
Two traditional heuristic task scheduling algorithms (STFCMEF-MS algorithm and LTFCMEF-MS algorithm) are developed to solve a multi-task scheduling problem on multiple computers to reduce energy consumption and finish...
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Two traditional heuristic task scheduling algorithms (STFCMEF-MS algorithm and LTFCMEF-MS algorithm) are developed to solve a multi-task scheduling problem on multiple computers to reduce energy consumption and finish required tasks before a *** new green task scheduling algorithms(STFCMEF-SA algorithm and LTFCMEF-SA algorithm) are proposed to solve the same *** the energy is directly proportional to the number of instructions for each computer at a particular speed,the energy slope(a newly defined technical term) is a *** results indicate that STFCMEF-SA algorithm and LTFCMEF-SA algorithm are more effective than STFCMEF-MS algorithm and LTFCMEF-MS algorithm in lowering energy *** work includes more theoretical analysis and more novel algorithms.
Developing low-carbon economy is a consensus of all governments in the world,and low-carbon economy has been one of the emerging research focuses *** has special position in low-carbon *** most basic work of researchi...
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Developing low-carbon economy is a consensus of all governments in the world,and low-carbon economy has been one of the emerging research focuses *** has special position in low-carbon *** most basic work of researching low-carbon logistics is to measure the carbon emission and low-carbon degree of logistics in ***,the paper introduces the concept and analysis method of carbon footprint into logistics area to evaluate low-carbon degree of logistics and analyze where to be ***,by taking advantage of information technology theory and application,it studies the system framework of Logistics Carbon Footprint Analysis System based on information system *** it designs the system structure,analyzes its function modular and sets forth the key *** research of this paper can lay the foundation for the further study for promoting low-carbon logistics development by informationization.
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