Automobile manufacturers require sense data to analyse and improve the driving experience. Currently, sensors are physically wired to both data collectors and the car battery, thus the number of wires scale linearly w...
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Motivation: The efficient and accurate computation of P-values is an essential requirement for motif-finding and alignment tools. We show that the approximation algorithms used in two popular motif-finding programs, M...
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Motivation: The efficient and accurate computation of P-values is an essential requirement for motif-finding and alignment tools. We show that the approximation algorithms used in two popular motif-finding programs, MEME and Consensus, can fail to accurately compute the P-value.
Traditionally, two protein sequences are classified into the same class if they have high homology in terms of feature patterns extracted through sequence alignment algorithms. These algorithms compare an unseen prote...
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The emergence of Semantic Web (SW) and the related technologies promise to make the web a meaningful experience. However, high level modeling, design and querying techniques proves to be a challenging task for organiz...
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ISBN:
(纸本)9780387285689
The emergence of Semantic Web (SW) and the related technologies promise to make the web a meaningful experience. However, high level modeling, design and querying techniques proves to be a challenging task for organizations that are hoping to utilize the SW paradigm for their industrial applications. To address one such issue, in this paper, we propose an abstract view model with conceptual extensions for the SW. First we outline the view model, its properties and some modeling issues with the help of an industrial case study example. Then, we provide some discussions on constructing such views (at the conceptual level) using a set of operators. later we provide a brief discussion on how such this view model can utilized in the MOVE [1] system, to design and construct materialized Ontology views to support Ontology extraction.
While people cluster images in terms of semantics, computers can not do too much on this job due to the use of lower-level features, which is the common way to computer workers to deal with the image recognition. To m...
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In this paper, we introduce the concept of additive zero knowledge. Essentially, an additive proof can be considered as a proof system involving many provers and one verifier such that the statements of all the prover...
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The mobility of user-role relationship is a new feature relative to their counterparts in user-role assignments. When an administrative role assigns a role to a user with a mobile membership, this allows the user to u...
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An obstacle avoidance system was developed for a custom-made Autonomous Navigational Robotic Vehicle (ANROV), based on an intelligent sensor network and fuzzy logic control. Unlike conventional crisp control systems, ...
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Ideally, all black-box testing methods should be interpreted in the same way by different testers. In reality however, inconsistencies and ambiguities in original method descriptions may lead to differing interpretati...
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Ideally, all black-box testing methods should be interpreted in the same way by different testers. In reality however, inconsistencies and ambiguities in original method descriptions may lead to differing interpretations and varying test set quality. In this paper, we decompose these methods into atomic rules for selecting test data and constructing test cases. We validate the rules via a worked example and discuss a pilot experiment to determine whether atomic rules are simpler to learn and use. Our approach also enables method tailoring and may simplify method comparison.
In this paper we outline a task-centered agent-oriented approach to modelling (or software engineering) of intelligent real-time systems for critical events like environmental disasters (e.g., bush fires, earthquakes)...
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