17368152
WISE: A Prototype for Ontology Driven Development of Web Information Systems
The development of Web Information Systems(WIS) is a hot research topic both in industry and academia. This paper presents a platform for ontology driven WIS development: the Web Information System auto-construction Environment(WISE). The novel features of WISE are: 1) Employing WIS ontology to specify user requirements; 2) Providing graphical tools to support ontology construction; 3) Drawing user interfaces and generating source code automatically from WIS ontology.
1170919
A Hybrid Method for Constructing Semi-structural Process in Knowledge-Intensive Information System
Recent research on processes in information system has revealed that processes in prevalent fields present to be semi-Structural. It seems to be structural at the process layer, but in the enacting time, executive situation might change due to various reasons. To solve that, in this paper, we illustrate how the flexibility of construction processes can be handled using a hybrid method. At structural layer, we construct the process in imperative way, whereas at the lower level, we decompose tasks into fine-grained operations, and declaratively perceive operation sequence. Moreover, we propose a prototype tool for constructing and enacting semi-Structural business processes.
2862393
Online Constrained Pattern Detection over Streams
Online pattern detection poses a challenge in many data-intensive applications, including network traffic management, trend analysis, intrusion detection, and various intelligent sensor networks. These applications have to be time and space efficient while providing high quality answers. Meanwhile, far less attention has been paid for detecting constrained patterns, that cannot be simply matched because there is no available pattern for prediction. This paper presents our research effort in efficient pattern detection with constraint. We propose a new method named Online Pattern Detection with Constraint (OPDC) to detect constrained patterns over evolving data stream, taking into account various user-defined constraints. To ensure that the constrained patterns are representative, we extend regular expression in a simple but powerful way. Our experimental results on real data sets demonstrate the feasibility and effectiveness of the proposed scheme.
34135450
A New Text Feature Conversion Method for Text Classification
Keywords normally carry large amount of category information. In order to fully utilize this kind of information for text classification, this paper proposes a new text feature conversion method based on the SKG model. The method uses the classified texts with the listed key words as the training data to train the classifier. To expand the keyword space, we construct the KWB model and do the text classification by combining the KWB model and the SKG model. The experiment results demonstrate the advantages of this new method.
14183415
Context-aware application programming for mobile devices
This research aims at facilitating the development of context-aware application software for mobile devices by providing a programming model, an implementation framework and a development environment. The programming model provides a multi-layered software architecture for context-aware application programming. The model supports developers to define contexts, behaviors and context-behavior binding rules through specifications and automates generation of context-aware application code based on the specifications. The implementation framework is a backbone program that implements the programming model. It facilitates the development in reducing the effort on the common tasks of context-awareness and help developers focus on the application-specific components. The development environment provides a series of tools to support the development of context-aware applications. These tools simplify the development process and provide the developed applications with robustness and testability.
14894173
Gingko: correlating causal paths in distributed systems
Many large-scale systems are distributed systems of multiple communicating components. Finding causal paths of message traces between components throughout these systems is important to uncover runtime behaviors and identify the root cause of failures, but this "art" often hides in the heads of developers or domain experts. Our goal is to design tools and algorithms to help developers record this art into logs and help the modestly-skilled users and system administrators master it to make better use and management of distributed systems. In this paper, we present a methodology that automatically builds the causal paths of message traces by 1) an agreement with programmers on the style and content of logs produced by operational distributed systems they develop and 2) a correlation algorithm to build message causal paths with the clues from these logs. To validate this mechanism, we have implemented Gingko, a prototype providing a tool chain for users to gain better comprehensions of distributed systems and to debug them efficiently when errors happen.
16050541
Energy-efficiency bounds for deep submicron VLSI systems in the presence of noise
In this paper, we present an algorithm for computing the bounds on energy-efficiency of digital very large scale integration (VLSI) systems in the presence of deep submicron noise. The proposed algorithm is based on a soft-decision channel model of noisy VLSI systems and employs information-theoretic arguments. Bounds on energy-efficiency are computed for multimodule systems, static gates, dynamic circuits and noise-tolerant dynamic circuits in 0.25-/spl mu/m CMOS technology. As the complexity of the proposed algorithm grows linearly with the size of the system, it is suitable for computing the bounds on energy-efficiency for complex VLSI systems. A key result presented is that noise-tolerant dynamic circuits offer the best trade off between energy-efficiency and noise-immunity when compared to static and domino circuits. Furthermore, employing a 16-bit noise-tolerant Manchester adder in a CDMA receiver, we demonstrate a 31.2%-51.4% energy reduction over conventional systems when operating in the presence of noise. In addition, we compute the lower bounds on energy dissipation for this CDMA receiver and show that these lower bounds are 2.8/spl times/ below the actual energy consumed, and that noise-tolerance reduces the gap between the lower bounds and actual energy dissipation by a factor of 1.9/spl times/.
46100614
Active shape and depth extraction from shadow images
We present a recursive estimation scheme for determining surface shape and depth. This technique relies on the control over the way in which shadows are cast in scenes, through variation of the position of illuminant. The estimation process is based on the iterated extended Kalman filter, with a near-optimal control of the movement of the light source to reduce the sensitivity of the state estimate to the sensory noise.<<ETX>>