17968973
Authoring Cases from Free-Text Maintenance Data
Automatically authoring or acquiring cases in the case-based reasoning (CBR) systems is recognized as a bottleneck issue that can determine whether a CBR system will be successful or not. In order to reduce human effort required for authoring the cases, we propose a framework for authoring the case from the unstructured, free-text, historic maintenance data by applying natural language processing technology. This paper provides an overview of the proposed framework, and outlines its implementation, an automated case creation system for the Integrated Diagnostic System. Some experimental results for testing the framework are also presented.
16561888
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prognostics of wheel failures. In addition to reducing maintenance costs, the proposed technology will help improve railway safety and augment throughput. Building on established techniques from data mining and machine learning, we present a methodology to learn models to predict train wheel failures from readily available operational and maintenance data. This methodology addresses various data mining tasks such as automatic labeling, feature extraction, model building, model fusion, and evaluation. After a detailed description of the methodology, we report results from large-scale experiments. These results clearly show the great potential of this innovative application of data mining in the railway industry.
15205794
Specification of Multi-Agent Systems in the Gamma Language
The suitability of using chemical reaction metaphor (CRM) to model multi-agent systems (MASs) is justified by CRM's capacity in specifying dynamic features of multi-agent systems. This paper presents a case study that demonstrates the applications of CRM in specifying multi-agent systems. The case study is the specification of a navigation training system. Given the dynamic and concurrent nature of multi-agent systems, we find that the chemical reaction metaphor provides a mechanism for describing the overall architecture of the distributed multi-agent systems precisely and concisely, while giving the design of the real system a solid starting point and allowing step-by-step refinement of the system using transformational methods
46475571
A Chronological History-Based Execution Time Estimation Model for Embarrassingly Parallel Applications on Grids
In order to identify and schedule jobs that are suitable for determined resources, an execution time estimation model is required. In this paper, it is described a Chronological history-based execution time estimation model to predict current execution time, according to the previous execution results. We built a heterogeneous computational Grid environment using Globus Toolkit, and our research is focused in Grid computing environments and to execute parallel jobs on multiple resources by measuring its accuracy. The experimental results shown that our model can accurately predict the execution time of embarrassingly parallel applications.
1742512
On Construction of a Large File System Using PVFS for Grid
Grid is the largest advance of network after Internet since the Grid System provides a specialty that can be used popularly and effectively. However, it is a challenge to the consistency and community of use on the data storages space of a Grid System. Therefore, the problem of application for the Computational Grid and Data Grid is more important. It can set up a usability, expandability, high operation capability, and large memory space in Grid with the Cluster system and parallel technique in order to solve the problem. In this paper, we provided a Grid with high operation capability and higher memories to solve the problem. As to the Grid setting, we take use of the Cluster computing to increase the operation effect for computing, and a PVFS2 with more storages effect for data. It can supply a quite correct platform for Grid user whether for large data access or huge operation.
6814568
PMS: A PVC Management System for ATM Networks
Reported in this paper is the developed PMS, a PVC management system for ATM networks. PMS provides a scalable, end-to-end path management solution required for managing today's complex ATM networks. It aims to assist the network operators to perform PVC operations with simplified procedures and automatic optimum route selection. It also aims to provide effective decision-making support for PVC fault identification and prevention to the network operators.
19017390
Amperometric Readout and Electrode Array Chip for Bioelectrochemical Sensors
As nanostructured bioelectronic interfaces continue to evolve for sensor applications, new readout circuits are needed to harness their capabilities. This paper presents a single-chip amperometric readout circuit and electrode array system suitable for bioelectrochemical measurements. The chip features a CMOS potentiostat with high resolution, range-programmable current readout and electrochemical cell potential drive circuitry, which can perform on-chip chronoamperometry and cyclic voltammetry assays. Through post-CMOS fabrication, the surface of the chip is prepared with an array of electrodes suitable for formation of bioelectronic interfaces and on-chip bioelectrochemical measurements. The 3times3mm2 chip nominally hosts a 4times4 working electrode array and supports amperometric outputs ranging from 10pA to 10muA with sub-pA resolution.
39221190
A personal agent for Chinese financial news on the Web
As the Web has become a major channel of information dissemination, many newspapers expand their services by providing electronic versions of news information on the Web. However, most investors find it difficult to search for the financial information of interest from the huge Web information space-information overloading problem. In this article, we present a personal agent that utilizes user profiles and user relevance feedback to search for the Chinese Web financial news articles on behalf of users. A Chinese indexing component is developed to index the continuously fetched Chinese financial news articles. User profiles capture the basic knowledge of user preferences based on the sources of news articles, the regions of the news reported, categories of industries related, the listed companies, and user-specified keywords. User feedback captures the semantics of the user rated news articles. The search engine ranks the top 20 news articles that users are most interested in and report to the user daily or on demand. Experiments are conducted to measure the performance of the agents based on the inputs from user profiles and user feedback. It shows that simply using the user profiles does not increase the precision of the retrieval. However, user relevance feedback helps to increase the performance of the retrieval as the user interact with the system until it reaches the optimal performance. Combining both user profiles and user relevance feedback produces the best performance.