23366254
Autonomous Information Services Integration for High-Assurance in Demand-Oriented Information Systems
With interdependent requests of multi-service increasing, the need for adaptability, timeliness and reliability to information service systems has become more and more important. In this paper, the relationship between the timeliness and the reliability of correlated services allocation and access is clarified. Based on these factors, the autonomous network-based information services integration technology to provide one-stop service for users’ multi-service requests is proposed. We proved the effectiveness of the proposed technology through the simulation and the results show that the integrated service can reduce the total users access time compared with the conventional systems.
12662382
Autonomous rating oriented agent allocation to achieve high response in demand-oriented information service system
The efficient and reliable information service provision and utilization is an important infrastructure in the high-assurance information service system. In this paper, we introduce a rating oriented distributed information system sustained by push/pull mobile agents to cope with providers' and users' heterogeneous requirements. Based on this environment, autonomous information provision technology is proposed. However, when users' demand changes, congestion might arise in the system. In order to achieve load balancing for users' timeliness access and guarantee that users can always get the information from a certain pathway, autonomous information reallocation technology is proposed.
59108819
Agent-Based Rating Oriented Information Provision and Reallocation for High-Assurance in Open and Dynamic Environments
In order to meet the heterogeneous requirementsfrom service providers and users simultaneously, thereis an urgent need for a new information service system.After studying the characteristics of the users' accessing,that popularity of information utilization generallyexists in information system is focused. Thispaper introduces a rating oriented distributed informationsystem sustained by push/pull mobile agents for informationservice provision and utilization. Based onthis environment, autonomous information allocationtechnology is proposed. However, when users' demandchanges, congestion might arise in the system. In orderto achieve load balance for users' timeliness accessand guarantee that users can always get the informationfrom a certain pathway, autonomous informationreallocation technology is proposed. Through the comparisonsimulation to the conventional system, the effectivenessof proposed system is proved.
11665105
Agent-based autonomous information services integration and allocation to achieve high response and low cost in distributed information service system
The goal of autonomous information service integration is to enable information utilization opportunities far beyond those possible in a disconnected environment. We have proposed an agent-based distributed information service system architecture, called Faded Information Field (FIF) to cope with the rapidly evolving situations of providers' and users' heterogeneous requirements. In the case of a mono-service request, the system is designed to reduce the time needed for users to access the information and to preserve the consistency of the replicas. However, when the user requests joint selection of multiple services, synchronization of atomic actions and timeliness have to be assured by the system. The service-oriented autonomous integration and allocation for heterogeneous FIFs to provide one-stop service for users' multiservice requirements are proposed. Through the comparison simulation to conventional systems, the effectiveness of the proposed technology is proved.
20901797
Decentralized workload management for assurance according to heterogeneous service levels
Due to the advent of electronic commerce, the service provider can offer the customer a Service Level Agreement (SLA) to distinguish itself in today's competitive market. Different users require different levels of service in terms of information consumption or response time, appearing a need of a system able to assure the heterogeneous service levels of the users in such a mission-critical environment. In this paper, we propose an information service infrastructure based on the Faded Information Field (FIF), a distributed service replica network founded on push/pull mobile agent technology. The cooperation between the autonomous agents and the nodes allows the online maintenance and auto-reconstruction of the FIF system in order to satisfy the different timely requirements of each user even in an ever-changing environment. Moreover, the system is able to provide different maximum information volume according to the user's service level, a double-sided feature that benefits to both the provider's business strategy and the differentiated timeliness access technology presented on this paper. The effectiveness of the proposed technology has been proved through evaluation and the simulation results show that the system is able to adapt and satisfy the different requirements of timeliness and the different levels of information volume required by each user under changing workloads, compared with conventional systems.
16545185
Hybrid Methods for POS Guessing of Chinese Unknown Words
This paper describes a hybrid model that combines a rule-based model with two statistical models for the task of POS guessing of Chinese unknown words. The rule-based model is sensitive to the type, length, and internal structure of unknown words, and the two statistical models utilize contextual information and the likelihood for a character to appear in a particular position of words of a particular length and POS category. By combining models that use different sources of information, the hybrid model achieves a precision of 89%, a significant improvement over the best result reported in previous studies, which was 69%.
4916415
Power efficient H.263 video transmission over wireless channels
We introduce an approach for adaptive minimization of the total power consumption of wireless video communications subject to a given level of quality of service. Our approach exploits tradeoffs between the power consumption of the H.263 encoder, the Reed-Solomon channel encoder and the transmitter. Simulation results show that source and channel coding parameters and transmit energy per bit should vary based on channel conditions. Optimized settings can reduce the total power consumption by a significant factor compared to fixed parameter settings which do not match with the channel conditions.
12221705
Fast mode decision and motion estimation for H.264 with a focus on MPEG-2/H.264 transcoding
The H.264 standard achieves much higher coding efficiency than previous video coding standards, due to its improved inter and intra prediction modes which come with a cost of higher computational complexity. When transcoding to H.264 from MPEG-2, motion information from MPEG-2 can be used to speed up the motion search. Fast mode decision algorithms are proposed for B and P frames, and a fast intra prediction algorithm is developed for intra coding. In addition, fast motion estimation is developed by reusing the motion information from MPEG-2. Simulation results demonstrate that we can achieve significant complexity reduction while maintaining the coding efficiency.
5605322
Multimodal Facial Gender and Ethnicity Identification
Human faces provide demographic information, such as gender and ethnicity. Different modalities of human faces, e.g., range and intensity, provide different cues for gender and ethnicity identifications. In this paper we exploit the range information of human faces for ethnicity identification using a support vector machine. An integration scheme is also proposed for ethnicity and gender identifications by combining the registered range and intensity images. The experiments are conducted on a database containing 1240 facial scans of 376 subjects. It is demonstrated that the range modality provides competitive discriminative power on ethnicity and gender identifications to the intensity modality. For both gender and ethnicity identifications, the proposed integration scheme outperforms each individual modality.
550060
Automatic categorization of figures in scientific documents
Figures are very important non-textual information contained in scientific documents. Current digital libraries do not provide users tools to retrieve documents based on the information available within the figures. We propose architecture for retrieving documents by integrating figures and other information. The initial step in enabling integrated document search is to categorize figures into a set of pre-defined types. We propose several categories of figures based on their functionalities in scholarly articles. We have developed a machine-learning-based approach for automatic categorization of figures. Both global features, such as texture, and part features, such as lines, are utilized in the architecture for discriminating among figure categories. The proposed approach has been evaluated on a testbed document set collected from the CiteSeer scientific literature digital library. Experimental evaluation has demonstrated that our algorithms can produce acceptable results for real- world use. Our tools can be integrated into a scientific-document digital library