16164261
Relevance Feedback for Sketch Retrieval Based on Linear Programming Classification
Relevance feedback plays as an important role in sketch retrieval as it does in existing content-based retrieval. This paper presents a method of relevance feedback for sketch retrieval by means of Linear Programming (LP) classification. A LP classifier is designed to do online training and feature selection simultaneously. Combined with feature selection, it can select a set of user-sensitive features and perform classification well facing a small number of training samples. Experiments prove the proposed method both effective and efficient for relevance feedback in sketch retrieval.
15574881
A Tuplespace-Based Middleware for Semantic Web Services Using SWRL
Coordination is a vital aspect of any type of interaction between computer agents in open distributed systems such as the Web. As distributed systems become more ubiquitous, autonomous and complex, the need to ground them on common data model grows stronger. In particular, Semantic Web services are based on synchronous message exchange, thus being incompatible with the REST architectural model of the (Semantic) Web. Recent advances in middleware technologies propose semantic aware tuplespaces as an infrastructure for coping with these issues. However, all of the existing related works do not support rule in their extensions of tuplespace. This paper presents a RuleSpaces based on a combination of tuplespace computing and Semantic Web Rule Language. We describe overview of the conceptual model and discuss the necessary extensions to the original tuplespace. An initial version of the RuleSpaces prototype system has been implemented.
43513684
A representation theorem for recovering contraction relations satisfying wci
A notion of an image structure associated with the canonical epistemic state is introduced. Based on it, we get a representation result for recovering contraction inference relations satisfying the condition weak conjunctive inclusion (wci) in terms of F-standard epistemic AGM states. In effect, this result establishes a representation theorem for belief contraction functions satisfying AGM postulates (k-1) - (k-7), and Rott's (wci) and (k-8c), and hence generalizes Rott's corresponding result in the finite framework.
12820927
A Policy Language for Adaptive Web Services Security Framework
How to resolve access control on Web services has become one of the important research tasks about the application of Web services. In this paper, we propose a policy based adaptive Web services security framework. In this framework, the ReiT policy is a declarative language based on the rules and ontologies. The non-structural knowledge is represented by rules and the structural temporal knowledge is represented by ontology. Moreover, we propose a mixer reasoning mechanism to evaluate the ReiT policy. The access control policy including the context of the user and Web services is evaluated by the reasoner. According to the evaluated result agent authorizes the access control of the Web services.
7375220
Dynamic User Modeling for Sketch-Based User Interface
This paper presents a strategy of dynamic user modeling for sketch-based user interface. A user model is defined as an incremental decision tree for a specific user. A drawing style modeling process is designed to model user's temporal drawing performances among inputting strokes, and to predict the possible shape in term of fuzzy matching. A user mediation process is proposed based on relevance feedback to capture users' drawing intentions and refine the recognition results. Experiments prove efficiency of the method.
15542808
An Agent-based Policy Aware Framework for Web Services Security
The security of Web services has become one of the important research topics about the application of Web services. In this paper, we propose an agent-based policy aware framework for Web services security. In this framework, a policy language called ReiT which is a declarative language based on the rules and ontologies is introduced. The non-structural knowledge is represented by rules and the structural temporal knowledge is represented by ontology. Moreover, we propose a mixed reasoning mechanism to evaluate the ReiT policy. The access control policy including the context of the user and Web services is evaluated by the reasoner. In addition, we present a policy aware BOID agent to authorize the access control of the Web services. And we implement the policy aware BOID agent by extending the JADE platform.
36321696
Adaptive Notch Filter Control for the Torsion Vibration in Lead-Screw Feed Drive System Based on Neural Network
In the machining process, the nature vibration characteristics of feed drive frames are in time-varying. The nature frequencies of the torsion vibration in the lead-screw feed drives are notably changed with the table position, which further influences the stability of servo control. Building the model of servo drive system under consideration of torsion vibration of rotor-screw system, this paper analyzes the effect of changing torsion vibration modes on the notch filter control. The results display that the compensation using the conventional notch filter cannot suppress those disturbances induced by the time-varying vibration modes. Therefore, an adaptive notch filter control method is presented based on an improved BP neural network in this paper. A case study demonstrates that the parameters of the notch filter can be adjusted rightly according to the different table position. Consequently, the torsion vibration modes are compensated efficiently for the time-varying table positions.
16889097
Limited Feedback Precoding Based on Hierarchical Codebook and Linear Receiver
The analysis shows that the conventional codebook construction of Grassmannian subspace packing can not control the performance loss caused by a linear receiver, while a proper unitary perturbation to the codebook is capable of compensating for this performance loss. This paper therefore proposes a novel hierarchical codebook to exploit the gain of unitary perturbation. The hierarchical codebook consists of a Grassmannian subcodebook and a proposed perturbation subcodebook. To implement precoding, this paper also presents a successive codeword selection scheme, thus the receiver would successively selects two preferred codewords from Grassmannian and perturbation subcodebooks. With the feedback binary indices of these selections, the transmitter uses the product of two preferred codewords as the precoder. The theoretical analysis of the proposed precoding technique shows that the usage of the perturbation subcodebook can improve to a certain degree the system performance in terms of throughput as well as BER, with a small additional feedback overhead, and the proposed codebook would reduce the computational and storage requirements in contrast to the conventional codebook. It is also shown via computer simulations that the proposed technique gives a better BER performance than the single Grassmannian codebook based precoding technique does, even if the feedback overhead remains the same.
37887576
Design and Application of GIS Software Platform Integrating with DSS Oriented to E-Government
Both Geographic Information System (GIS) and decision support system (DSS) are playing an important part in government affairs management or electronic government (E-government). But GIS and DSS are usually independently working the interactive relation between them is unsubstantial, so that application of E-government to GIS is inconvenient and inefficient. This paper puts forward a new idea for designing software platform based on integrative GIS and DSS according to target of E-government construction in China, introduces the function integration target, method and technical way in different levels of this platform. This paper has found a new way of GIS development oriented to E-government, and described successful application in a series of G-government project, such as General National Situation Information System, Flood and Drought Prevention Information Service System, West Development Information Service System and so on.
7632071
Position-sensing based a new docking system of RPRS
Docking is an essential function for reconfigurable planetary robot system (RPRS), it supports almost all metamorphic characteristics of the system. This paper presents a space docking method for self-reconfigurable modular robot system. The method adopts a position sensory detector (PSD) to get the space geometrical relation between modular child robots. By using the kinematics and inverse kinematics modeling of the child robot, a docking control algorithm is developed to achieve space dock automatically. To validate the method, simulation experiments were done on a platform based on OPENGL, and the simulating results were given as well.
10205775
Kernel-based Global Folley-Sammon Discriminate Analysis
Kernel trick is a useful method dealing with the nonlinearity of patterns ' distribution, and widely used for non-linear pattern classification problem. Recently, many kernel-based Fisher discriminate methods were proposed, the features extracted by those methods are statistically uncorrelated, usually ineffectively when used in so called "small sample problem "(SSS), which exists in most FR tasks. To overcome this shortcoming, in this paper we present Kernel-based Global Folley-Sammon Discriminate Analysis (KGFS), it can be realized in three steps: firstly by combing kernel function, map data onto an implicit high-dimensional feature space, secondly construct orthogonal feature space there, finally calculate iterative global orthogonal discriminate vectors. Experiments have been done on ORL dataset. In terms of classification error rate performance, proposed kernel based method KGFS has a better performance than other three commonly used kernel-based methods, such as GDA, MGDAandKDDA.